Search Results (54)

Hydraulic fracturing involving proppant injection is currently the most effective technology to stimulate tight, unconventional reservoirs. The conductivity offered by the created propped and unpropped fracture segments is directly linked to the well deliverability. The accurate modeling of the fracture network conductivity is key to well performance prediction. Unlike most previous studies that have focused on the single-fracture conductivity, a comprehensive fracture network conductivity model was developed by incorporating more complex rock and proppant deformation mechanisms and integrating the conductivity of different propped and unpropped fracture segments through hydraulic–electric analogies. Specifically, for propped fracture segments, the proppant pack permeability was described by simultaneously considering the viscous shear from fracture walls, stress sensitivity, and multiple- or single-proppant-layer placement, while the dynamic width was controlled through proppant pack compaction and proppant embedment. In unpropped fracture segments, as self-supported fracture surface deformation changes the fracture compressibility, the stress-dependent compressibility was utilized to depict the dynamic width. The developed propped and unpropped fracture conductivity models were separately verified against experimental measurement data. Through the hydraulic–electric analogies, a new partially propped fracture network conductivity model was established. For propped fracture segments, an increase in the proppant pack compressibility significantly reduced the fracture conductivity, particularly under high-stress conditions. A larger initial propped fracture aperture offered higher fracture conductivity under identical stress conditions. For single-layer propped fractures, a decrease in the fracture surface elastic modulus from 15 GPa to 10 GPa slightly reduced the fracture conductivity due to greater proppant embedment. For unpropped fractures, a larger compressibility reduction rate (lower fracture compressibility) led to better fracture conductivity maintenance. The fracture network conductivity was dominated by the unpropped fracture segment conductivity when the unpropped length reached 45.5% of the total fracture network length. Full article

Background: Head Start, a federally funded preschool for low-income families, offers a unique space for interventionists to equitably reach parents and children, and promote healthful behavior for chronic disease prevention. However, determinants of implementation in this context remain understudied, hindering opportunities for improvement. We aim to identify organization-level factors affecting implementation of an obesity prevention program, as relayed by implementation partners at Head Start. Methods: Communities for Healthy Living (CHL), designed and implemented with Greater Boston Head Start (n = 16 programs across n = 2 agencies), is a cluster-randomized obesity prevention trial offering enhanced nutrition support, media campaign, and a parenting program. The current study draws on two years (2017-19) of data collected from Head Start implementation partners. Pre-implementation, staff completed anonymous surveys: implementation readiness (n = 119), staff training evaluation (n = 166), and facilitator training evaluation (n = 22); response frequencies were tabulated. Mid-implementation, staff and leadership participated in focus groups (n = 3 groups with n = 16 participants) and interviews (n = 9); transcripts were analyzed using a deductive-inductive hybrid approach, grounded in the Consolidated Framework for Implementation Research. Results: Most staff strongly agreed or agreed they understood their role (98.8%), planned on recruiting parents (98.2%), and reported commitment to implementation (92.5%); however, fewer identified CHL as a priority (69.7%) and were confident in their ability to coordinate efforts (84.9%), handle challenges (77.3%), and receive support (83.2%). Thematic analysis yielded implementation facilitators, including mission alignment, partner engagement in design, allocation of intervention-specific resources, and expressed leadership support. Barriers included strains imposed on staff workflow, a lack of shared responsibility, and challenges in coordinating CHL activities amidst competing Head Start programs. Conclusions: Responsive efforts to address deliverer-identified barriers to implementation may include reducing intervention impact on preexisting workflow, as well as clearly distinguishing intervention activities from preexisting Head Start programs. Full article

Scaling up the direct use of geothermal heat in urban areas comes with the challenge of enabling the development of projects in geological settings where geothermal reservoir flow properties may be poor, resulting in low well flow performance. Cost-effective field development strategies and well designs tailored to such reservoirs can ensure the deliverability of geothermal energy in economic terms. This study presents a framework based on computer-assisted optimization to support practitioners in selecting the most suitable well concept for the exploitation of such marginal geothermal reservoirs. The proposed methodology is illustrated in a real-life case study of a geothermal development prospect in an urban area in The Netherlands, where the performance of sub-vertical, sub-horizontal and multi-lateral wells is compared. The obtained results indicate that the techno-economic performance of the geothermal doublet can be significantly improved by optimization, for all considered well concepts, and that, despite the importance of selecting the well concept, well location is still the main determinant of an effective field development strategy. The sub-horizontal and multi-lateral well concepts appear to be the most suitable for the target case study, outperforming the sub-vertical doublets, with a higher expected net present value and a lower economic variability risk for the multi-lateral solution. Full article

This study aims to define specific transferable engineering capabilities needed for the implementation (design and practices) of circular economy (CE) within a smart city setting. We conducted a critical literature review of over 100 studies on the core values of CE and smart cities to investigate the knowledge gap in this topic and understand what specific skillset is employed by industry experts that can be harnessed on a wider scale, which can allow for the optimization of CE. There is a lack of research on the skillsets needed to implement a circular economy in any setting, and there are very few studies on circularity practices in a smart city setting. Primary data collection allows us to bridge this knowledge gap, yielding new findings that do not already exist concerning the skillset employed by experts in the field, which can positively impact the smart city settings in which a circular economy is implemented. We conducted a qualitative analysis based on expert interviews of 21 participants who have experience in the circular economy. This information will benefit the industry by informing businesses and councils about the key skillsets and capabilities to look out for when employing people to implement any aspect of circular practices in a smart city setting, with an emphasis on enhancing efficiency, achieving deliverables, and thinking systemically to address complex challenges they may face during the implementation. We also investigated the implementation of CE in smart cities to provide a well-rounded view of the different achievements and challenges faced during the process. This mainly focuses on the work of governance in smart circular cities, a factor that has many important implications and externalities in different sectors. This study describes the methodology adopted to formulate a detailed questionnaire for expert interviews with respect to the skill gap and capabilities necessary for working in the industry, the results of which aid discussions regarding the different challenges faced in CE implementation. Our findings reveal that background knowledge in engineering and sustainability is the most ‘highly critical’ hard skill according to the experts, while communication and stakeholder engagement are the essential soft skills required to ensure the success of a circular economy within smart city settings. Full article

During the operation of commingled production wells, inter-layer interference is a key factor affecting the recovery rate and flooding extraction efficiency. This study proposes a well deliverability equation that is characterized by a multi-parameter coupled inter-layer interference coefficient, which is applied to quantify the commingled production wells in a multi-layer reservoir. This study used principal component analysis (PCA) to study the combined effects of correlation parameters for inter-layer interference. The results show that the starting pressure gradient and the crude oil viscosity contrast have the most significant impact on inter-layer interference. Changes in these two parameters directly enhance the heterogeneity between different oil layers, thereby intensifying inter-layer interference. Additionally, the positive correlation between permeability and permeability contrast also highlights the contribution of physical property differences in the oil layers to the interference. The sensitivity analysis shows the main influencing factors of inter-layer interference in commingled production wells. providing references for subsequent improvements and optimization of the exploitation schemes and adjustments in reservoir management measures. The results not only enhance the understanding of the mechanisms of inter-layer interference in the exploitation of multi-layer oil reservoirs but also provide scientific evidence and technical support for oilfield development. Full article

The oral delivery strategy of natural anti-oxidant and anti-inflammatory agents has attracted great attention to improve the effectiveness of ulcerative colitis (UC) treatment. Herein, we developed a novel orally deliverable nanoparticle, carboxymethyl chitosan (CMC)-modified astaxanthin (AXT)-loaded nanoparticles (CMC-AXT-NPs), for UC treatment. The CMC-AXT-NPs were evaluated by appearance, morphology, particle size, ζ-potential, and encapsulation efficiency (EE). The results showed that CMC-AXT-NPs were nearly spherical in shape with a particle size of 34.5 nm and ζ-potential of −30.8 mV, and the EE of CMC-AXT-NPs was as high as 95.03%. The CMC-AXT-NPs exhibited preferable storage stability over time and well-controlled drug-release properties in simulated intestinal fluid. Additionally, in vitro studies revealed that CMC-AXT-NPs remarkably inhibited cytotoxicity induced by LPS and demonstrated superior antioxidant and anti-inflammatory abilities in Raw264.7 cells. Furthermore, CMC-AXT-NPs effectively alleviated clinical symptoms of colitis induced by dextran sulfate sodium salt (DSS), including maintaining body weight, inhibiting colon shortening, and reducing fecal bleeding. Importantly, CMC-AXT-NPs suppressed the expression of pro-inflammatory cytokines like TNF-α, IL-6, and IL-1β and ameliorated DSS-induced oxidative damage. Our results demonstrated the potential of CMC-modified nanoparticles as an oral delivery system and suggested these novel AXT nanoparticles could be a promising strategy for UC treatment. Full article

The mitigation of greenhouse gas emissions necessitates a shift from fossil fuel to environmentally friendly energy, such as geothermal energy. It is advantageous to retrofit end-of-life oil/gas wells for geothermal energy extraction. Prior to repurposing depleted wells into geothermal wells, it is imperative to conduct the heat-energy potential assessment. In this work, an analytical model was developed for this purpose. A case study was conducted using the model and the data from a well in North-west Louisiana for a feasibility assessment. A sensitivity study was performed with the model to identify major factors affecting well productivity. The result of the case study shows that reverse circulation is 35% more efficient than direct circulation for improving the heat-energy productivity of geothermal wells converted from oil/gas wells. The sensitivity analysis revealed that well productivity increases with higher injection rates and greater horizontal wellbore lengths. Additionally, well productivity rises in correspondence with reservoir temperature as well as the temperature of the injected water. However, well productivity decreases as the thermal conductivity of the tubing insulation increases. Counteracting this trend, well productivity increases with thicker tubing insulation layers. This study furnishes engineers with an easy-to-use tool for predicting the heat-energy deliverability of wells converted from end-of-life oil/gas wells. Full article

Background and Objectives: Emotional eating (EE), or eating in response to negative emotions or stress, can be understood as a manifestation of difficulties regulating emotions among individuals with eating disorders. To date, many virtual reality treatments for eating disorders have focused on body image or exposure methods and have not exclusively targeted EE. There has been a call made by experts in the field for a “new generation” of virtual reality interventions, capable of utilizing virtual reality’s potential more fully. We developed a novel emotion regulation (ER) intervention based upon virtual reality to improve EE among adults with an eating disorder diagnosis. The study hypothesized that a novel ER protocol utilizing evidence-based strategies, as well as innovative techniques, would be feasible and acceptable and show preliminary signals of effectiveness for EE. Materials and Methods: Due to COVID-19, the study pivoted from the original completely immersive intervention to a 2-D intervention deliverable over telehealth. Twenty-one patients were recruited from the Adult Eating Disorders Program within Stanford University to receive seven weekly one-hour virtual experiences (VEs) focusing on ER. Participants were not randomized but, as part of a pragmatic study design, chose between the novel VE-Emotion Regulation (VE-ER) intervention or continuing their treatment as usual. Before and after the seven sessions, participants completed an assessment by filling out online questionnaires. Results: Overall, VE-ER treatment was feasible, and the participant and therapist acceptability of VE-ER treatment was fairly high. In terms of preliminary effectiveness, the results showed a significant reduction in the frequencies of disordered eating behaviors in both groups, but a greater improvement in EE in the VE-ER group and a significant reduction in emotion dysregulation after the treatment. Conclusions: This novel pilot study makes a valuable contribution to the scant literature by demonstrating the feasibility, acceptability, and preliminary effectiveness of combining somatic, multisensory, and cognitive manipulations delivered via telemedicine to help patients with EE to manage their emotions. The findings can serve as the basis for larger, controlled studies evaluating the translation of the somatic marker theory from the research literature into real-world U.S. clinic settings. Full article

Global climate change and associated environmental extremes present a pressing need to understand and predict social–environmental impacts while identifying opportunities for mitigation and adaptation. In support of informing a more resilient future, emerging data analytics technologies can leverage the growing availability of Earth observations from diverse data sources ranging from satellites to sensors to social media. Yet, there remains a need to transition from research for knowledge gain to sustained operational deployment. In this paper, we present a research-to-commercialization (R2C) model and conduct a case study using it to address the wicked wildfire problem through an industry–university partnership. We systematically evaluated 39 different user stories across eight user personas and identified information gaps in public perception and dynamic risk. We discuss utility and challenges in deploying such a model as well as the relevance of the findings from this use case. We find that research-to-commercialization is non-trivial and that academic–industry partnerships can facilitate this process provided there is a clear delineation of (i) intellectual property rights; (ii) technical deliverables that help overcome cultural differences in working styles and reward systems; and (iii) a method to both satisfy open science and protect proprietary information and strategy. The R2C model presented provides a basis for directing solutions-oriented science in support of value-added analytics that can inform a more resilient future. Full article

Intensity modulated radiation therapy (IMRT) is one of the most used techniques for cancer treatment. Using a linear accelerator, it delivers radiation directly at the cancerogenic cells in the tumour, reducing the impact of the radiation on the organs surrounding the tumour. The complexity of the IMRT problem forces researchers to subdivide it into three sub-problems that are addressed sequentially. Using this sequential approach, we first need to find a beam angle configuration that will be the set of irradiation points (beam angles) over which the tumour radiation is delivered. This first problem is called the Beam Angle Optimisation (BAO) problem. Then, we must optimise the radiation intensity delivered from each angle to the tumour. This second problem is called the Fluence Map Optimisation (FMO) problem. Finally, we need to generate a set of apertures for each beam angle, making the intensities computed in the previous step deliverable. This third problem is called the Sequencing problem. Solving these three sub-problems sequentially allows clinicians to obtain a treatment plan that can be delivered from a physical point of view. However, the obtained treatment plans generally have too many apertures, resulting in long delivery times. One strategy to avoid this problem is the Direct Aperture Optimisation (DAO) problem. In the DAO problem, the idea is to merge the FMO and the Sequencing problem. Hence, optimising the radiation’s intensities considers the physical constraints of the delivery process. The DAO problem is usually modelled as a Mixed-Integer optimisation problem and aims to determine the aperture shapes and their corresponding radiation intensities, considering the physical constraints imposed by the Multi-Leaf Collimator device. In solving the DAO problem, generating clinically acceptable treatments without additional sequencing steps to deliver to the patients is possible. In this work, we propose to solve the DAO problem using the well-known Particle Swarm Optimisation (PSO) algorithm. Our approach integrates the use of mathematical programming to optimise the intensities and utilizes PSO to optimise the aperture shapes. Additionally, we introduce a reparation heuristic to enhance aperture shapes with minimal impact on the treatment plan. We apply our proposed algorithm to prostate cancer cases and compare our results with those obtained in the sequential approach. Results show that the PSO obtains competitive results compared to the sequential approach, receiving less radiation time (beam on time) and using the available apertures with major efficiency. Full article

Whilst the use of digital interventions to assist patients with self-management involving embodied conversational agents (ECA) is emerging, the use of such agents to support stroke rehabilitation and recovery is rare. This iTakeCharge project takes inspiration from the evidence-based narrative style self-management intervention for stroke recovery, the ‘Take Charge’ intervention, which has been shown to contribute to significant improvements in disability and quality of life after stroke. We worked with the developers and deliverers of the ‘Take Charge’ intervention tool, clinical stroke researchers and stroke survivors, to adapt the ‘Take Charge’ intervention tool to be delivered by an ECA (i.e., the Taking Charge Intelligent Agent (TaCIA)). TaCIA was co-designed using a three-phased approach: Stage 1: Phase I with the developers and Phase II with people who delivered the original Take Charge intervention to stroke survivors (i.e., facilitators); and Stage 2: Phase III with stroke survivors. This paper reports the results from each of these phases including an evaluation of the resulting ECA. Stage 1: Phase I, where TaCIA V.1 was evaluated by the Take Charge developers, did not build a good working alliance, provide adequate options, or deliver the intended Take Charge outcomes. In particular, the use of answer options and the coaching aspects of TaCIA V.1 were felt to conflict with the intention that Take Charge facilitators would not influence the responses of the patient. In response, in Stage 1: Phase II, TaCIA V.2 incorporated an experiment to determine the value of providing answer options versus free text responses. Take Charge facilitators agreed that allowing an open response concurrently with providing answer options was optimal and determined that working alliance and usability were satisfactory. Finally, in Stage 2: Phase III, TaCIA V.3 was evaluated with eight stroke survivors and was generally well accepted and considered useful. Increased user control, clarification of TaCIA’s role, and other improvements to improve accessibility were suggested. The article concludes with limitations and recommendations for future changes based on stroke survivor feedback. Full article

The global mental health crisis is a longstanding one that impacts a multitude of patient populations worldwide. Within this crisis, psychiatric medication adherence is yet another complex public health challenge that continues to persist and contribute towards the chronic nature of the increased incidence and prevalence of psychiatric morbidities, which in turn result in the sequalae of substantial costs to humanity, the healthcare system, lost productivity, functioning and disability among patients with mental disorders. Psychotropic medication adherence is a significant part of psychiatric care and treatment across severity levels of mental illness. This health behavior is also filled with complexities, given the abundance of social and behavioral determinants as well as intrinsic and extrinsic factors that surround this health behavior. Examining contexts for promoting this health behavior change is crucial in determining directions for addressing it more optimally. There have been several published studies on considerations and interventions to address this health behavior; however, to date, no studies have been published on assessing coverage and directions of content across social media platforms, which trend as a rising health communication medium in our digital era. The present study is the first of its kind to dive into exploring the nature of widely viewed content and deliverers of this content on a prominent social media platform, YouTube, as the basis to determine potential directions for future intervention that can extend to reaching more patients struggling with this high-risk health behavior across the world, given the global reach of social media. Full article

The Project Planning, Monitoring, Systematizing, and Learning (PlaMSyL) method was developed in a period of ten years (1996–2005) and has expanded since then to improve the results of development and emergency projects in developing countries, focusing mainly on the monitoring and learning process of different local stakeholders beyond the deliverables into the changes and impacts of outcomes. It has been applied in different countries in Asia, Africa, and Latin America between 2006 and 2016. Today, it is taught in universities to students of pre- and post-grade levels. The 17 Sustainable Development Goals are part of the UN Agenda 2030, signed by 193 governments in 2015, contain 169 Targets, and 232 indicators of social well-being (health, education, zero hunger, equality, and gender), and for economic (food production, industry, zero poverty, consumption, infrastructure, and technology), and ecological development (water, climate, governance, and biodiversity) preserving the planet from a collapse and ensuring the sustainable well-being of all. The SDGs provide the framework for a new circular economy based on clean energy and zero greenhouse gases. One basic principle of the SDG 2030 is “Leave No One Behind” and is what drives to work with the local governments and communities in a bottom-up approach, coordinating with the national level to set up appropriate policies. The PlaMSyL method has been practiced by different professional teams of education, health, engineering, agriculture, disaster risk reduction, and ecologists, and for this reason, the paper explains the use of the PlaMSyL method with the indicators and targets of the SDGs, and the resilience to facilitate local project teams and stakeholders to use the SDGs participatively as a framework, and as a metrics and communication tool. Full article

This work describes the design, preparation, and deep investigation of “intelligent nanobiomaterials” that fulfill the safety rules and aim to serve as “signal deliverers” for osteogenesis, harboring a specific peptide that promotes and enhances osteogenesis at the end of their hydrogel fibers. The de novo synthesized protein fibers, besides their mechanical properties owed to their protein constituents from elastin, silk fibroin and mussel-foot adhesive protein-1 as well as to cell-attachment peptides from extracellular matrix glycoproteins, incorporate the Bone Morphogenetic Protein-2 (BMP2) peptide (AISMLYLDEN) that, according to our studies, serves as “signal deliverer” for osteogenesis. The osteogenetic capacity of the biomaterial has been evidenced by investigating the osteogenic marker genes ALP, RUNX2, Osteocalcin, COL1A1, BMPR1A, and BMPR2, which were increased drastically in cells cultured on scaffold-BMP2 for 21 days, even in the absence of osteogenesis medium. In addition, the induction of phosphorylation of intracellular Smad-1/5 and Erk-1/2 proteins clearly supported the osteogenetic capacity of the biomaterial. Full article

The Kingdom of Saudi Arabia’s (KSA) microgrids must make significant progress during the next five years, since the Saudi government published the Saudi Vision 2030 and the National Transformation Program 2020. In order to implement renewable energy and microgrid technologies in the Saudi Electric Power System(EPS), King Abdullah City for Atomic and Renewable Energy (K.A.CARE) started developing an energy mix program in 2016. To achieve the intended goals, this program will unquestionably need to adhere to practical and technical criteria. In the past five years, the Saudi government has made significant investments in renewable energy technology. In order to keep up with the growth of microgrid systems globally, the Saudi Water and Electricity Regulatory Authority (WERA) is now working to update and define a standard for microgrids. The IEEE 2030 standard, which includes guidelines for understanding smart grid interoperability the integration of communication architectures and power systems, and information technology architectures, is proposed to replace the IEEE 1547.4 standard currently in use by the WERA. In the past two decades, smart grid technology has advanced dramatically and attracted great technical attention. To guarantee that K.A.CARE and other research and technical institutes can effectively complete their deliverables, a standard for microgrids has to be established. Additionally, this paper offers some recommendations on how to use these standards to implement them in the Saudi EPS, as well as a feasibility analysis for adopting the IEEE 1547.4 standard in the KSA. Full article