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Purpose This study aims to investigate the adoption of waste-to-energy (WtE) technologies in South Africa (SA), focusing on identifying the key drivers, barriers and potential solutions for commercial uptake. The ultimate aim is to propose an implementation framework that promotes renewable energy while reducing landfill reliance. Design/methodology/approach A systematic literature review (SLR) of papers published between 2020 and 2023 was conducted to identify factors impacting WtE adoption in SA. The conceptual model developed from the SLR was tested using a qualitative case study approach. Data was collected through 15 semi-structured interviews with commercial entities and WtE experts from four regions of SA. Findings Anaerobic digestion and pyrolysis are identified as the most suitable waste-to-energy technologies in the South African context. Among the financial challenges of WtE in SA, the availability of cheap coal, low landfill tariffs, high capital costs, funding constraints and regressive economic incentives are critical. The lack of government support, insufficient incentives, regulatory burdens, weak policies and limited innovation capacity are considerable non-financial barriers hindering WtE technologies’ growth. The successful adoption of renewable energy also requires adequate infrastructure, increased sustainability awareness and technical expertise. Research limitations/implications Although the sample size is diverse and consists of a range of organisations, it may not capture the thoughts and experiences of other SA businesses in their entirety. It is important to note that the lack of existing research on the implementation, benefits and impacts of WtE technologies limits the authors’ ability to interpret and benchmark the findings of this study. Yet, this study contributes by developing an implementation framework to encourage WtE adoption, recommending policy actions such as regressive taxation on fossil fuels and landfills and promoting renewable energy through subsidies, awareness and energy credits. Practical implications This study provides a practical framework for businesses and policymakers to adopt WtE technologies by addressing key barriers. The research suggests that businesses could reduce waste management costs and generate new revenue streams by adopting anaerobic digestion and pyrolysis. Policymakers are encouraged to disincentivize landfills and promote WtE through financial incentives such as subsidies and energy credits. The implementation framework offers clear recommendations for integrating WtE into SA’s energy and waste management strategies, supporting both sustainability and economic goals. Social implications The main social contribution is the potential for WtE adoption to improve waste management practices and generate new job opportunities within the renewable energy and waste sectors. Originality/value This study provides a novel contribution by developing an implementation framework tailored to SA’s unique regulatory, economic and social contexts. The research highlights the importance of aligning WtE adoption with sustainability goals, reducing reliance on fossil fuels and promoting renewable energy. The framework serves as a practical guide for policymakers, businesses and industry leaders seeking to implement sustainable waste management solutions in SA.

PurposeThis study investigates the role of leadership and cultural transformation in facilitating Lean Six Sigma (LSS) practices in clinical pharmacy settings to reduce medicine waste within the UK National Health Services (NHS).Design/methodology/approachA systematic literature review on Lean Six Sigma in health care was conducted to develop an analytical framework. This was followed by a qualitative case study of an English NHS trust to test the framework, exploring pharmacists' adoption of LSS practices and their impact on staff behaviour, focussing on leadership decisions and organisational culture.FindingsThe research highlights the significance of leadership’s prioritisation in waste reduction efforts and its influence on staff engagement. It also examines the intricate relationship between leadership decisions, education and training, resource allocation, and the prevailing clinical culture, which shapes pharmacists' behaviours and attitudes towards LSS practices and waste reduction.Research limitations/implicationsThe study’s focus on a single NHS trust limits the generalisability of the findings, suggesting the need for further research across different healthcare settings.Practical implicationsThe study recommends a cultural transformation, earlier training, and reformation in service strategy to enhance the adoption of LSS practices and contribute to a more sustainable future for the wider health services.Social implicationsEffective medicine waste management prevents harm and helps address the current NHS medicine shortage. The NHS can allocate resources efficiently, ensure timely treatment, and prepare for future disruptions by implementing the proposed framework.Originality/valueWe developed a leadership model for the NHS to reduce medicine waste, offering a novel approach to addressing the challenge of medicine waste through leadership and cultural transformation.

Gold nanoparticles provide an attractive and applicable scaffold for delivery of nucleic acids. In this review, we focus on the use of covalent and noncovalent gold nanoparticle conjugates for applications in gene delivery and RNA-interference technologies. We also discuss challenges in nucleic acid delivery, including endosomal entrapment/escape and active delivery/presentation of nucleic acids in the cell.

The acquisition and processing of the Jaszczak phantom is a recommended test by the American College of Radiology for evaluation of gamma camera system performance. To produce the reconstructed phantom image for quality evaluation, attenuation correction is applied. The attenuation of counts originating from the center of the phantom is greater than that originating from the periphery of the phantom causing an artifactual appearance of inhomogeneity in the reconstructed image and complicating phantom evaluation. Chang's mathematical formulation is a common method of attenuation correction applied on most gamma cameras that do not require an external transmission source such as computed tomography, radionuclide sources installed within the gantry of the camera or a flood source. Tomographic acquisition can be obtained in two different acquisition modes for dual-detector gamma camera; one where the two detectors are at 180° configuration and acquire projection images for a full 360°, and the other where the two detectors are positioned at a 90° configuration and acquire projections for only 180°. Though Chang's attenuation correction method has been used for 360° angle acquisition, its applicability for 180° angle acquisition remains a question with one vendor's camera software producing artifacts in the images. This work investigates whether Chang's attenuation correction technique can be applied to both acquisition modes by the development of a Chang's formulation-based algorithm that is applicable to both modes. Assessment of attenuation correction performance by phantom uniformity analysis illustrates improved uniformity with the proposed algorithm (22.6%) compared to the camera software (57.6%).

A high-throughput nanosensor based on a gold nanoparticle and fluorescent proteins allows mechanisms of chemotherapeutic drugs to be screened in minutes, offering a tool for expediting research in drug discovery and toxicology. Screening methods that use traditional genomic 1 , 2 , 3 , transcriptional 4 , proteomic 5 , 6 and metabonomic 7 signatures to characterize drug mechanisms are known. However, they are time consuming and require specialized equipment. Here, we present a high-throughput multichannel sensor platform that can profile the mechanisms of various chemotherapeutic drugs in minutes. The sensor consists of a gold nanoparticle complexed with three different fluorescent proteins that can sense drug-induced physicochemical changes on cell surfaces 8 , 9 , 10 . In the presence of cells, fluorescent proteins are rapidly displaced from the gold nanoparticle surface and fluorescence is restored. Fluorescence ‘turn on’ of the fluorescent proteins depends on the drug-induced cell surface changes, generating patterns that identify specific mechanisms of cell death induced by drugs. The nanosensor is generalizable to different cell types and does not require processing steps before analysis, offering an effective way to expedite research in drug discovery, toxicology and cell-based sensing.

Purpose>There is a critical gap in assessing how institutional voids affect SMEs' growth, investment commitment and reputation. The purpose of this paper is to explain how institutional void affects these three dimensions of SME performance; and to develop an institutional void-SME performance framework that can be applied for strategising, resourcing and competency acquisition for better performance.Design/methodology/approach>The study used the Enterprise Survey Data of the World Bank, consisting of 118,763 firms from 140 countries. The structural equation modelling (SEM) is used to analyse the data, validate our analytical model and investigate the imposed theoretical claims of causality as indicated by specific research questions through correlation/covariation between the constructs of institutional void and SME performance.Findings>Evidence suggests that there is a strong positive correlation between formal institutional infrastructure (independent variable) and SMEs' reputation (dependent variable). Among the institutional sub-constructs, tax administration, business licensing and permits, access to a bigger market and skilled labour and informal competition are significant for the SME performance constructs. We find similar results while comparing SMEs with large businesses.Practical implications>The institutional void-SME performance framework developed from our findings will allow SMEs to manage institutional voids affecting their performance. The analytical framework can also be the foundation for future empirical research.Originality/value>The originality of the study is embedded in its investigation of SMEs' investment commitment and reputation in relation to institutional voids. The latent relationship between the sub-constructs of institutional voids and SME performance adds new knowledge to the dynamic relationship between institutions and firm performance.

The objectives of this study were to examine the effective dose range and the test-retest reliability of florbetapir F 18 using, first, visual assessment by independent raters masked to clinical information and, second, semiautomated quantitative measures of cortical target area to cerebellum standardized uptake value ratios (SUVr) as primary outcome measures. Visual ratings of PET image quality and tracer retention or β-amyloid (Aβ) binding expressed as SUVrs were compared after intravenous administration of either 111 MBq (3 mCi) or 370 MBq (10 mCi) of florbetapir F 18 in patients with Alzheimer's disease (AD) (n = 9) and younger healthy controls (YHCs) (n = 11). In a separate set of subjects (AD, n = 10; YHCs, n = 10), test-retest reliability was evaluated by comparing intrasubject visual read ratings and SUVrs for 2 PET images acquired within 4 wk of each other. There were no meaningful differences between the 111-MBq (3-mCi) and 370-MBq (10-mCi) dose in the visual rating or SUVr. The difference in the visual quality across 111 and 370 MBq showed a trend toward lower image quality, but no statistical significance was achieved (t test; t(1) = -1.617, P = 0.12) in this relatively small sample of subjects. At both dose levels, visual ratings of amyloid burden identified 100% of AD subjects as Aβ-positive and 100% of YHCs as Aβ-negative. Mean intrasubject test-retest variability for cortical average SUVrs with the cerebellum as a reference over the 50- to 70-min period was 2.4% ± 1.41% for AD subjects and 1.5% ± 0.84% for controls. The overall SUVr test-retest correlation coefficient was 0.99. The overall κ-statistic for test-retest agreement for Aβ classification of the masked reads was 0.89 (95% confidence interval, 0.69-1.0). Florbetapir F 18 appears to have a wide effective dose range and a high test-retest reliability for both quantitative (SUVr) values and visual assessment of the ligand. These imaging performance properties provide important technical information on the use of florbetapir F 18 and PET to detect cerebral amyloid aggregates.

Nanocapsules can efficiently encapsulate therapeutic cargo for anticancer drug delivery. However, the controlled release of the payload remains a challenge for effective drug delivery. We used dithiocarbamate-functionalized PAMAM dendrimer to cross-link the shell of arginine gold nanoparticles stabilized nanocapsule, and controlled the drug release from the nanocapsule. The ability of cross-linked nanocapsule to deliver hydrophobic paclitaxel to B16F10 cells was demonstrated both and . Cross-linked nanocapsule possesses tunable stability and modular permeability, and can deliver paclitaxel with improved anticancer efficiency compared with free drug both and . Dithiocarbamate chemistry provides a new tool to harness multifactorial colloidal self-assembly for controlled drug delivery for cancer therapy.

A thorough, accessible, and general overview of chemosensors Providing a comprehensive overview of chemosensors—organic molecules designed to bind and sense small molecules or metal ions—and their applications, Chemosensors: Principles, Strategies, and Applications is an accessible one-stop resource for analysts, clinicians, and graduate students studying advanced chemistry and chemosensing. Chemosensors function on a molecular level, generating a signal upon binding. The book reviews their synthesis, design, and applications for detecting biological and organic molecules as well as metal ions. The text highlights applications in drug discovery and catalyses that have not been well covered elsewhere. Covering such topics as molecular recognition, detection methods, design strategies, and important biological issues, the book is broken into four sections that examine intermolecular interactions, strategies in sensor design, detection methods, and case studies in metal, saccharide, and amino acid sensing. An indispensable source of information for chemical and biomedical experts using sensors, Chemosensors includes case studies to make the material both accessible and understandable to chemists of all backgrounds.