12508 research outputs found
Sort by
Introduction to the Special Issue: Hindutva and the Rule(s) of Law
No full textYesIndia is increasingly described as an โethnic democracyโ, โpopulist majoritarian autocracyโ or โethnocracyโ: a form of rule supported by an electoral majority rooted in ethnic affiliation, with limited and eroding checks and balances that would protect minorities. Over the past decade, constitutional arrangements shifted, โdog-whistleโ laws were passed and legal institutions starved of resources. In studying these developments, we want to ground generic studies of populist/majoritarian/autocratic law by unpacking the specific Indian version of it: how does Hindutva as a political ideology and the current dispensation as political agents conceive of the rule of law, its purpose and function? Which rules do they want the law to follow? We combine papers that trace Hindutva's own ideological commitments with those tracking material changes in legislation or jurisprudence and map out their differential consequences for India's minorities, culminating in a wider reflection on the rule(s) of law under autocratic circumstances.Henry Luce Foundation (grant on โMuslims in India in a Time of Hindu Majoritarianism'
Design and development of sulfenylated 5-aminopyrazoles as inhibitors of acetylcholinesterase and butyrylcholinesterase: exploring the implication for Aฮฒ1-42 aggregation inhibition in Alzheimer's disease
No full textNoCurrent therapeutic regimens approved to treat Alzheimer's disease (AD) provide symptomatic relief by replenishing the acetylcholine levels in the brain by inhibiting AChE. However, these drugs don't halt or slow down the progression of Alzheimer's disease, which remains a major challenge. Evidence suggests a
significant increase in BuChE activity with a decrease in AChE activity as the AD progresses along with the Aฮฒ1โ42 aggregation. To address this unmet need, we rationally developed sulfenylated 5-aminopyrazoles (3aโ3o) via electro-organic synthesis in good to excellent yields (68โ89%) and duly characterized them
using spectrophotometric techniques. The compounds were tested for acetylcholinesterase (AChE) and butyrylcholinesterase (BuChE) inhibition, with 3b (4-NO2) showing the highest potency. It exhibited IC50 values of 1.634 ยฑ 0.066 ฮผM against AChE and 0.0285 ยฑ 0.019 ฮผM against BuChE, outperforming donepezil
and tacrine. Admittedly, 3b effectively inhibited Aฮฒ1โ42 aggregation and enhanced working memory, as indicated by the Y-maze test, besides portraying no cytotoxicity. The outcome was further corroborated using in silico techniques, leading to the elucidation of plausible inhibition and metabolism mechanisms
A critique of qualitative accounting research in China
No full textYesThe aims of this article are threefold: it conducts a review of the literature identifying the challenges facing scholars of whom, English is their second language; it analyses the perspectives of authors on issues they consider significant in publishing China-centric research; and it provides a reflective and insightful analysis of the articles published the special issue.
The assertions raised in this article were drawn from the research evidence in published articles on qualitative accounting research, and China-centric research in accounting. The analysis of self-reflective comments provided by authors were analysed inductively using thematic analysis to identify and explore the issues considered important to the authors.
Research on accounting practice is primarily rooted in concepts developed in the western-anglophone countries. China mimics this research when it adopts positivist methodologies. This article highlights the advantages of qualitative research and the use of Chinese cultural theories (Buddhism, Taoism Confucianism) providing a human dimension to understanding accounting practice.
This study notes the benefits of Chinese cultural theories to understand the practice of accounting in China that is under-utilised in accounting research. The integration of traditional Chinese cultural philosophies underpinned by qualitative methods of research (case study, interviews, observation, and document analysis), offers a novel perspective that extends the scope of research beyond the conventional economic analysis of organizational financial performance
SRR-Based RF Sensor for Non-Invasive Detection of Static Bone Fracture States
Full text linkYesThis study presents the design and simulation of a metamaterial-based radio frequency (RF) sensor employing Split-Ring Resonator (SRR) structures for the non-invasive detection of static bone fracture states. Traditional imaging modalities such as X-ray, CT, and MRI, though widely used, often face limitations in accessibility, cost, radiation exposure, and sensitivity to micro-fractures. To address these gaps, the proposed sensor operates within the 1โ3 GHz frequency range and leverages dual SRRs to enhance field confinement and sensitivity to dielectric changes caused by bone discontinuities.
Full-wave simulations were conducted using CST Microwave Studio on a multilayer femur phantom comprising realistic anatomical layers, including skin, fat, muscle, cortical bone, and blood. The sensor demonstrated a strong response to variations in dielectric properties associated with fracture conditions, achieving detection of fracture features as small as 0.10 mm in width and 20 mm in depth beneath a 5.00 mm thick cortical layer. Reflection coefficient analysis (|S11|) revealed distinct resonance shifts between healthy, fractured, and healed bone states, with frequency deviations up to 47 MHz and quality factors exceeding 80.
An iterative antenna design process led to an optimised SRR configuration (ANT 5), exhibiting high Q-factor, enhanced electromagnetic confinement, and excellent impedance matching. The findings highlight the sensorโs potential as a compact, non-ionising, and wearable diagnostic tool for orthopaedic applications.UK Engineering and Physical Sciences Research Council (EPSRC) under grant EP/X039366/1, and HORIZON-MSCA-RISE ID: 101086492, Marie Skลodowska-Curie, Research and Innovation Staff Exchange (RISE), titled: FractuRe Orthopaedic Rehabilitation: Ubiquitous eHealth Solution (Robust
Machine Learning-Optimized Compact Wearable Frequency Reconfigurable Antenna for Sub-6 GHz/mm-Wave 5G Integration
Full text linkYesFuture 5G wireless systems will have substantial challenges in integrating the sub-6 GHz and millimeter-wave (mm-wave) bands due to their massive frequency ratios. This paper proposes a machine learning-optimized compact wearable frequency-reconfigurable antenna for sub-6 GHz/mm-wave 5G integration. Fabricated on a flexible Rogers Duroid substrate (27.8 ร 14 ร 0.508 mmยณ), the antenna initially employs a circular structure resonating at 28 GHz. Dual-band operation (3.5 GHz and 28 GHz) is achieved by etching an H-shaped slot into the rectangular patch. A PIN diode is employed to reconfigure the proposed antenna in the ON and OFF states. In the ON state, the antenna operates at 3.5 GHz and 28 GHz, achieving measured bandwidths of 25.4% and 73.2%, gains of 3.63 dBi and 5.25 dBi, and radiation efficiencies of 90.5% and 88%, respectively. In the OFF state, the antenna operates at 28 GHz, achieving a measured bandwidth of 72.9%, gain of 6.2 dBi, and a radiation efficiency of 89%. Bidirectional E-plane and omnidirectional H-plane radiation patterns are maintained across both bands. At 3.5 GHz, the specific absorption rate (SAR) value for 1 g and 10 g of human tissue is 0.438 W/kg and 0.0147 W/kg, while at 28 GHz, the SAR value is 0.801 W/kg and 1.09 W/kg, which comply with the FCC and ICNIRP standards. Bending tests (lap, chest, arm) demonstrate stable on-body performance. The antennaโs S11 was predicted using a supervised ML regression framework. Among tested algorithms, the decision tree achieved state-of-the-art accuracy (Rยฒ: 97.80%) with minimal errors (MAE: 0.72, MSE: 0.28, MSLE: 0.56, RMSLE: 0.81, RMSE: 0.66). The proposed antenna system is suitable for future 5G devices
Longitudinal place-based research: Exploring spatialised student experiences through walking interviews
Full text linkYesResearch into university campuses and studentsโ use of space has rarely used place-based or longitudinal methods. To address this, student experiences were gathered via a novel combination of walking interviews, participant photography and mapping, from 2019 to 2022. The study adopted an online methodology during 2020/21 in response to the COVID-19 pandemic. This approach resulted in new spatial findings on how individuals and social groups use campus, the influence of the institutional structure and changes over time. This article reflects on the practice of participatory walking interview methods. Practicalities on how to carry out walking interviews, handle the participant-researcher dynamic and insider status, and respond to changes throughout a longitudinal study are shared. This article contributes to a spatial turn within educational and psychological research and shows the potential of place-based methods to explore people, social structures and place, in a moment and over time
A bi-level bidding strategy model for gas-fired units, power-to-gas facility and renewable power in a coordinated energy market considering demand response programs
Full text linkYesEnvironmental concerns in recent years have encouraged governments worldwide to integrate large proportions of renewable energy sources (RESs) into electricity networks. However, the intermittent nature of the RESs has introduced new challenges, such as the imbalance between electrical supply and demand. The power-to-gas (P2G) and gas-fired units (GFUs) are practical solutions to overcome these challenges. Therefore, this paper presents a bi-level bidding strategy for GFUs, P2G facilities and RESs in a coordinated energy market considering demand response program (DRP). To enhance the flexibility of the system, DRP is modelled as a price-responsive bidding mechanism for shifting loads. Furthermore, the stochastic nature of RESs and load is modelled using a Scenario Tree concept. In the bi-level model, the upper-level problem maximizes the profits of the GFUs and P2G facility, while the lower-level problem maximizes social welfare in the energy market. The nonlinear bi-level formulation is changed into a single-level mixed-integer linear programming problem by substituting the lower-level optimization by its Karush-Kuhn-Tucker (KKT) optimality conditions and converting nonlinearities to linear equivalents. The CPLEX solver in the GAMS optimization program is utilized to solve the model. The beneficial effect of the suggested model was evaluated using an adjusted twenty-node Belgium gas network and an adjusted sixteen-bus UK Distribution System. Numerical results show that when natural gas demand is limited, the production of gas from the P2G facility can improve the secure and cost-effective functioning of the coordinated electricity and gas networks. It further shows that converting renewable electricity into natural gas, P2G facilities can enable a broader penetration of volatile renewable energy.This work is partially supported by the UK Engineering and Phys- ical Sciences Research Council (EPSRC) under grant EP/Y035135/1, and HORIZON-MSCA-2022-SE-01-01-ID: 101131501, Marie Sk ล odowska- Curie, Research and Innovation Staff Exchange (RISE)
Pollution havens or competitive advantage? Evidence from South Asia-OECD trade in polluting industries
No full textYesThis study investigates whether South Asian countries have become pollution havens for industrial exports to OECD markets. Using highly disaggregated manufacturing trade data, it applies the New Weighted Comparative Advantage index and an Augmented Gravity Trade Model. The results indicate that compositional and structural effects have enabled South Asian countries to build comparative advantages in several polluting industries. Employing robust econometric methods, including Newey-West, quantile regression, causality analysis, and IV/2SLS estimation, the study rejects the pollution haven hypothesis in the context of South AsiaโOECD trade. The findings support mainstream theories emphasising the trade-offs between environmental regulation stringency and the competitiveness of polluting exports. They also highlight the importance of examining industry-level heterogeneity when designing environmental and trade policies. Policymakers can draw on these insights to better understand how comparative advantage in polluting industries evolves and how environmental policies shape trade dynamics
The impact of supply chain management 4.0 on the performance of the tea manufacturing firms: mediating role of market and entrepreneurial orientation
No full textPurpose
The purpose of this study is to identify the relationships between computing, digitalization and integrating technologies of supply chain management 4.0, market and entrepreneurial orientation, and performance of tea manufacturing firms, relying on the resource-based view and dynamic capability theory. In addition, this study sheds light on the mediating role of the market and entrepreneurial orientation.
Design/methodology/approach
The results are obtained by analysing survey data from a sample of 410 respondents from Malaysian tea manufacturing firms. A structural equation modelling approach was performed to validate the direct and indirect proposed hypotheses.
Findings
Drawing on the resource-based view and dynamic capability theory, this study demonstrates the significant and direct relationships between computing, digitalization, integrating technologies, market and entrepreneurial orientation, and the performance of tea manufacturing firms. In addition, market and entrepreneurial orientation fully mediates the relationship between computing, digitalization, integrating technologies, and the performance of manufacturing firms.
Originality/value
Due to the novelty of the supply chain management 4.0 concept in manufacturing firms, limited existing studies shed light on its theoretical and practical implications. The findings from the present study contribute to the existing literature by suggesting the mediating role of market and entrepreneurial orientation between supply chain management 4.0 and the performance of manufacturing firms
Using Educational Evidence and Learning Theories to Design a Pharmacy Curriculum
No full textYesTo optimise student engagement and maximise student outcomes pharmacy curricula design should be informed by educational evidence and learning theories. This article explores the reasons why student engagement might be suboptimal and how educational evidence and learning theories can be used to design a new pharmacy curriculum to optimise student engagement and maximise student outcomes. This article introduces Thomas et al's.3, six-step approach to curriculum development and provides arguments and evidence for using educational theories and best practices in the curricula design process. A case study shows how University of Bradford School of Pharmacy developed a highly integrated programme with identifiable themes that developed through a spiral curriculum with a clearly defined core curriculum, but with space for significant student choice to enhance learner motivation. To optimise engagement and encourage students to take deeper approaches to learning the curriculum is predominantly delivered by Team-Based Learning, an active and collaborative learning strategy that is informed by social constructivist learning theories