Goal-setting is indispensable for effective healthcare management. Yet, literature evidence suggests many organisations worldwide do not know how to formulate ‘SMART’ goals. Evidence of how existing theories work in practice is scarce, and the practices in low-income countries are unknown. Therefore, this research explored how leprosy project goals were formulated to describe the theoretical practice framework of The Leprosy Mission Nigeria (TLMN). Using a case-study design, ten managers were interviewed individually concerning their goal-setting knowledge, experience and perspective; and documented goals of six projects were reviewed. A five-step constructionist thematic data analysis generated eleven theoretical frameworks from the concepts of the emergent core themes of ‘stakeholders’, ‘strategies’ and ‘statements.’ Further theorisation reduced them to one general framework. This revealed TLMN’s goal-setting practice as a four-stage centre-led, top-down, beneficiary-focused and problem-based process. The stages were national preparation, baseline needs-survey, centralised goal formulation and nationalised planning. The outcome was the formulation of assigned, ‘non SMART’ objective statements, which are then used for planning projects. Other theoretical models constructed included a Goal Effects Cycle, ‘SMARTA’ goal attributes and hierarchical criteria for differentiating goal-types. A theory developed from TLMN goal-setting postulates that: ‘Assigned non SMART goal formulation directly results from centralised goal-setting practice and is the predictor of unrealistic project planning.’ Therefore, I propose that goal statements will be ‘SMARTA’ and plans, more realistic and relevant if goal setting is done collaboratively by all stakeholders at all stages of the process. Also, ‘Change-Beneficiary-Indicator-Target-Timeframe’ and ‘Change- Beneficiary-Location-Timeframe’ frameworks are recommended as templates for writing SMART objectives and aims respectively.

For meeting the external requirements of the Paris Agreement and reducing energy consumption per gross domestic product, China needs to improve its energy efficiency. Although the existing studies have attempted to investigate energy efficiency from different perspectives, little effort has yet been made to consider the collaboration among different stages in the production chain to produce energy outputs. In addition, various studies have also examined the determinants of energy efficiency, however, they mainly focused on technology and economic factors, no study has yet proposed and considered the influence of geographical factors on energy efficiency. In this article, we fill in the gap and make theoretical and empirical contributions to the literature. In this study, a two-stage analysis method is used to analyse energy efficiency and the influencing factors in China between 2009 and 2021. More specifically, from the theoretical/methodological perspective, a multi-activity network data envelopment analysis model is used to measure energy efficiency of different processes in the energy production chain. From the empirical perspective, we attempt to investigate the influence of geographical factors on energy efficiency through a neural network analysis. Meanwhile, the comparisons among different provinces are made. The result shows that the overall energy efficiency is low in China, and China relies more on the traditional energy industry than the clean energy industry. The efficiency level experiences a level of volatility over the examined period. Finally, we find that raw fuel pre-process and industry have a significant and positive impact on energy efficiency in China.

This paper offers a new perspective on the energy efficiency literature by bringing evidence of political contextual factors as the predictors of energy efficiency. Specifically, we posit that the Democrat administration is more energy-efficient considering the reduction of environmental impact, in contrast, the Republican administration is more efficient considering only financial expenditures leading to the production of economic growth. In addition, we predict that political administration tenure is negatively correlated with green energy efficiency and that political distancing moderates the relationship between political party administration and energy efficiency. This study sheds light on these matters by performing an efficiency analysis of fifty North American states through a bootstrap DEA non-parametric model, followed by Tobit regressions to evaluate our hypotheses concerning the effect of the contextual factors on the calculated efficiency scores.

The traditional Lerner index is limited in its capacity to estimate the level of competition in the economic sector from the perspective that it mainly focuses on the overall level of market power for each individual decision-making unit. Recently, Fukuyama and Tan (J Oper Res Soc, 73:445–453, 2022) estimated the Lerner index by applying the nonparametric data envelopment analysis (DEA) to calculate the marginal cost, which is an important component in the estimation of the Lerner index. Our study further extends the study of Fukuyama and Tan (J Oper Res Soc, 73:445–453, 2022) by estimating the marginal cost under the DEA in a multi-product setting. Our proposed methodology benefits from the ability to find positive marginal costs for all the products and specifies all decision-making units are profit maximizers. In order to achieve this, the marginal cost is estimated by referring to the nearest point on the best practice cost-efficient frontier for the profit-maximizing firms. We then apply our innovative method to the Chinese real estate industry. The result shows that the Chinese real estate industry has higher market power in the residential commodity housing market than that in the commodity housing market. This is also the case for different geographical areas in China. Overall, for both of these two different markets, the level of market power experiences a level of volatility.

Amorphous active pharmaceutical ingredients remain in the research focus as an avenue to achieve a better solubility of drugs. Several processing techniques are applied to produce amorphous materials. Main two approaches applied to production of amorphous phases are comminution of crystalline materials in order to break down molecular long-range order of their crystal lattices and amorphous phase precipitation from solutions. This thesis is focused on processing challenges in preparation of amorphous API phases from solutions by spray drying and evaporative antisolvent sonoprecipitation. Budesonide (BUD) and simvastatin (SMV) were used as model poorly soluble APIs. Amorphous phases of relatively low-glass transition (Tg) APIs are physically unstable and crystallise upon storage and/or processing conditions. To tackle this issue, for the first time in this work a selection of polyvinylpyrrolidone vinyl acetate (PVP-VA) co-polymers has been applied to investigate impact of sonoprecipitation processing parameters and a composition of PVP-VA on physicochemical and micromeritic properties of BUD/PVP-VA nanoparticulate composites. Studies confirmed that in solid-state BUD is miscible with PVP-VA polymers. Application of factorial design revealed that processing parameters: polymer type, surfactant concentrations, time and amplitude of sonication impact the entrapment efficiency, drug loading, polydispersity and particle size properties of produced nanoparticles. The largest fraction of polymer to drug in produced nanoparticles has been achieved with PVP VA E-535. As it is known that polymer content in formulation of APIs may slow down its dissolution, novel approach to processing and dissolution enhancement of amorphous composites of SMV produced by spray drying has been applied. Introduction of easily crystallising inorganic salt- sodium chloride into spray drying feed rendered SMV-polyvinyl pyrrolidone (PVP) amorphous microparticles loaded with nanocrystalline NaCl. Addition of NaCl successfully facilitated generation of discrete microparticles post spray drying with low-Tg polymers, which otherwise were not processable as binary mixtures. In addition, NaCl content aided tabletability and dissolution of amorphous API composites with more viscous and high-Tg PVP polymers. Studies confirmed that application of factorial design facilitates robust design of production process of amorphous nanocomposites by sonoprecipitation as well as that introduction of soluble nanocrystalline phase into amorphous binary solid dispersion by spray drying aids its processing and dissolution.

Following the global financial crisis, the measurement of counterparty credit risk has become an essential part of the Basel III accord with credit value adjustment being one of the most prominent components of this concept. In this study, we extend the Merton structural credit risk model for counterparty credit risk calculation in the context of calculating the credit value adjustment mainly by estimating the probability of default. We improve the Merton model in a variance-convoluted-gamma environment to include default dependence between counterparties through a linear factor decomposition framework. This allows one to tackle dependence through a systematic common component. Our set-up allows for easier, faster and more accurate fitting for the credit spread. Results confirm that use of the variance-gamma-convolution clearly solves the vanishing credit spread problem for short time-to-maturity or low leverage cases compared to a Brownian motion environment and its modifications.

Functional crosslinked hydrogels were prepared from 2-hydroxyethyl methacrylate (HEMA) and acrylic acid (AA). The acid monomer was incorporated both via copolymerization and chain extension of a branching, reversible addition–fragmentation chain-transfer agent incorporated into the crosslinked polymer gel. The hydrogels were intolerant to high levels of acidic copolymerization as the acrylic acid weakened the ethylene glycol dimethacrylate (EGDMA) crosslinked network. Hydrogels made from HEMA, EGDMA and a branching RAFT agent provide the network with loose-chain end functionality that can be retained for subsequent chain extension. Traditional methods of surface functionalization have the downside of potentially creating a high volume of homopolymerization in the solution. Branching RAFT comonomers act as versatile anchor sites by which additional polymerization chain extension reactions can be carried out. Acrylic acid grafted onto HEMA–EGDMA hydrogels showed higher mechanical strength than the equivalent statistical copolymer networks and was shown to have functionality as an electrostatic binder of cationic flocculants.

Across the UK, many anatomy departments possess historical potted wet cadaveric specimen collections, such as organs preserved in fluid-filled jars. Although considered obsolete by some for anatomical education, there is immense potential for their utilisation in teaching, particularly in institutes that have limited access to cadavers or have had body donation rates impacted by the Covid-19 pandemic. Another benefit of historical potted cadaveric specimens is that severe pathology, often not seen today, can be observed by the student. The aim of this study was to understand students' opinions and attitudes towards the use of historical anatomical and pathological potted wet specimen collections in undergraduate science teaching. Following their integration into the anatomy program of a Clinical Sciences degree, seventy-seven undergraduate students completed a five-point Likert questionnaire on their perspective for the integration of the historical potted specimens in anatomical education. This study was approved by the Research Ethics committee at the University of Bradford RESULTS: The study demonstrated that 90 % of students found the collection useful in teaching, 92 % would like to see the collection used more in teaching, and 76 % of students found that the collection encouraged them to consider medical ethics and the donor. In conclusion, the survey findings suggest that further utilisation of historical potted wet specimen collections would be useful in the teaching of anatomy and that these collections could potentially encourage conversations on post-mortem bodily integrity, ethics, and organ donation.

Finite element (FE) analysis of fiber-reinforced polymer (FRP) reinforced concrete beams cast in U-shaped ultra-high performance concrete (UHPC) permanent formworks is presented in this paper. Concrete damage plasticity (CDP) and FRP brittle damage models were used to simulate the damage behavior of concrete and FRP bars. The results of FE simulation are in good agreement with the experimental results. Furthermore, parametric studies were conducted to investigate the effect of concrete and UHPC strengths, yield strength of steel bars, elastic modulus of FRP bars, ultimate tensile strength of FRP bars, types of UHPC normal strength concrete (NSC) interface and thickness of UHPC under different reinforcement conditions. Flexural performances, in terms of cracking, yield, ultimate loads and corresponding deflections, failure mode, energy dissipation and ductility, were investigated. Traction-separation model was used to describe the bonding degradation and the maximum slip of two types of bonding interfaces (smooth surface and medium-rough surface). Both flexural capacity and resistance to deformation of composite beams are significantly improved by the utilization of hybrid FRP/steel reinforcement. The UHPC formwork can also delay the occurrence and development of cracks. By appropriately increasing the strength of UHPC or elastic modulus of FRP bar, the flexural capacity of composite beams is effectively improved. It is expected that the results presented in this paper can guide the design and construction of U-shaped UHPC permanent formwork-concrete composite beams reinforced with FRP bars.

Whole-systems approaches are being adopted to tackle physical inactivity. The mechanisms contributing to changes resulting from whole-systems approaches are not fully understood. The voices of children and families that these approaches are designed for need to be heard to understand what is working, for whom, where and in what context. This paper describes the protocol for the children and families' citizen science evaluation of the Join Us: Move, Play (JU:MP) programme, a whole-systems approach to increasing physical activity in children and young people aged 5-14 years in Bradford, UK. The evaluation aims to understand the lived experiences of children and families' relationship with physical activity and participation in the JU:MP programme. The study takes a collaborative and contributory citizen science approach, including focus groups, parent-child dyad interviews and participatory research. Feedback and data will guide changes within this study and the JU:MP programme. We also aim to examine participant experience of citizen science and the suitability of a citizen science approach to evaluate a whole-systems approach. Data will be analysed using framework approach alongside iterative analysis with and by citizen scientists in the collaborative citizen science study. Ethical approval has been granted by the University of Bradford: study one (E891-focus groups as part of the control trial, E982-parent-child dyad interviews) and study two (E992). Results will be published in peer-reviewed journals and summaries will be provided to the participants, through schools or directly. The citizen scientists will provide input to create further dissemination opportunities.