Case Study Research Articles

Legal and Practical Implications of Digitizing the Slovakian Cadastre: Challenges and Opportunities

Background: Acquiring ownership rights to real estate in Slovakia is complex and frequently encounters hurdles. The formal procedures governing this process can be stringent, resulting in challenges when transferring ownership rights. This article critically evaluates the obstacles and potential advantages as the Slovakian Cadastre shifts towards a digital system. The authors also explore the scope of contractual freedom and governmental intervention in acquiring property rights alongside recent challenges encountered by the digitalized system under both Slovakian and European law. The study analyses the theoretical framework guiding decision-making by Slovak administrative authorities in cadastral proceedings, underscoring the critical role of formal legal procedures in ensuring legal certainty and stability. Additionally, the research underscores the importance of accurately registering changes to property rights within the digitalized real estate registration system to uphold the integrity and transparency of title records. Methods: The research follows a qualitative methodology, employing various qualitative methods, including historical description and analysis, in-depth document analysis, inductive method, comparative analysis, and case studies rooted in legal theory, administrative law and property law. It may utilise conceptual frameworks like legal certainty and stability to inform its examination. The methodology may not involve empirical data collection or statistical analysis but rather a critical examination of the existing legal framework and theoretical perspectives. Results and conclusions: Acquiring ownership rights to real estate in Slovakia is a complex process hindered by discrepancies between registered and actual property statuses, outdated maps and inaccuracies in parcel boundaries. The lack of clarity and precision significantly affects legal certainty and private property rights. In response, the Office of Geodesy, Cartography and Cadastre has proposed a comprehensive amendment to the Cadastral Act, aiming to update the classification of land, regulate electronic submissions, and simplify application processes. However, the proposed amendment may restrict public access to information contained in the Cadastre, which could negatively impact the exercise of property rights and the right to freely access information.

Learning stimulus for disengaged learners: Roles of outside participation

Background Learning contributes to adaptive performance needed in today’s business. A key challenge is workplace disengagement which can lead quiet quitting. Past studies indicate the compatibility when examining critical issues of learning in either a workplace or a classroom. Objective The case study examines the impacts on disengaged learners by outside participation. The business community’s participation focuses on providing continuous direct feedback and creating expectation (or subjective norms) at one upper secondary school where the feeling of disengagement has been prevalent. Methods The study’s construct adapts Theory of Planned Behavior and the Double-loop Learning Concept. The survey is completed by 171 current (Grade 12) and former students who have had two-year interactions with the business community from a group of 200 students. Statistical analysis is applied to examine the impacts on learning intention and behavior. Results The findings show the positive influence from direct feedback and subjective norms on intention to learn and attitude of disengaged learners which result in positive learning actions and behavior. Conclusions Dealing with disengagement should recognize consistency and continuity of feedback when involving outside participants. Feedback design to challenge the learners’ mindset and importance of subjective norm and informal learning are part of this consideration.

Meaningful Patient Participation in Health Care Education: A Theoretically Informed Study Exploring Boundaries and Identities

Abstract Purpose After recent policy and practice changes, health care schools are expected to involve patients as partners in the management, design, and delivery of professional curricula. However, what these partnerships mean for academic communities and the processes needed to support them are not yet understood. This study examines what involving patients as partners within an academic community means for key stakeholders. Method A qualitative case study design with a social constructivist philosophical stance was used. Communities of practice served as the theoretical framework. Semistructured interviews were conducted with patients and educators from the University of Leicester between November 2021 and May 2022. Focus groups were held with penultimate-year students. Data were analyzed using reflexive thematic analysis informed by communities of practice. Results The sample comprised 40 participants. Ten patients and 10 educators participated in 40- to 60-minute interviews. Twenty students participated in 1 of 5 focus group discussions lasting 30 to 50 minutes. Two overarching themes were reported: “boundaries as (permeable) barriers to participation” and “identity as an interpretive lens.” Boundaries among patients, educators, and students can hinder patients’ meaningful involvement in health care education. Boundaries are marked through differences in knowledge, a lack of shared vision, and a lack of trust in patients. Patients, educators, and students have separate distinct identities. They experience tensions of identity when they meet across boundaries. These tensions reveal insights into the construction of the typical patient identity in health care education. Conclusions Applying communities of practice illuminated boundary and identity issues that patients, educators, and students experience when patients are involved in health care education. Health care schools should develop comprehensive training for patients, provide faculty development regarding patient involvement, support students to trust in patient teachers, and embed a distinctive strand of patient involvement across health care curricula.

Critical factors influencing electron and phonon thermal conductivity in metallic materials using first-principles calculations

Understanding the thermal transport of various metals is crucial for many energy-transfer applications. However, due to the complex transport mechanisms varying among different metals, current research on metallic thermal transport has been focusing on case studies of specific types of metallic materials. A general understanding of the transport mechanisms across a broad spectrum of metallic materials is still lacking. In this work, we perform first-principles calculations to determine the thermal conductivity of 40 representative metallic materials, within a range of 8-456 W mK-1. Our predicted values of electrical and thermal conductivity are in good agreement with available experimental results. Based on the data of separated electron and phonon thermal conductivity, we employ a statistical approach to examine nine factors derived from previous understandings and identify the critical factors determining these properties. For electrons, although a high electron density of states around the Fermi level implies more conductive electrons, we find it counterintuitively correlates with low electron thermal conductivity. This is attributed to the enlarged electron-phonon scattering channels induced by substantial electrons around the Fermi level. Regarding phonons, we demonstrate that among all the studied factors, Debye temperature plays the most significant role in determining the phonon thermal conductivity, despite the phonon-electron scattering being non-negligible in some transition metals. Correlation analysis suggests that Debye temperature has the highest positive correlation coefficient with phonon thermal conductivity, as it corresponds to a large phonon group velocity. Additionally, Young's modulus is found to be closely correlated with high phonon thermal conductivity and contribution. Our findings of simple factors that closely correlate with the electron and phonon thermal conductivity provide a general understanding of various metallic materials. They may facilitate the discovery of novel materials with extremely high or low thermal conductivity, or be used as descriptors in machine learning to accurately predict the thermal conductivity of metals in the future.

“Back to the Kitchen”: Corruption Charges Against Women Heads of Government

Abstract While much of the scholarship on gender and corruption suggests that women in political office are, or are perceived to be, less corrupt than men, in just the past few years corruption accusations against Brazil's Dilma Rousseff and South Korea's Park Geun-hye have made headlines and led to their impeachment. In this article, we argue women heads of government are actually more likely to be charged with corruption due to pervasive beliefs that women, by their very presence, corrupt public office. Using cross-national data, we first demonstrate that women executives are significantly more likely to be formally accused of corruption than their male counterparts. We then present case studies of Brazilian President Rousseff and Turkish Prime Minister Çiller to demonstrate the powerful role of gendered discourse in motivating suspicion and inflaming elite and public sentiment and thereby driving corruption charges. These findings make a substantial contribution to the literature on gender, leadership and the politics of corruption.

Challenges and strategies in managing severe portopulmonary hypertension during living donor liver transplantation: A clinical case study

Challenges and strategies in managing severe portopulmonary hypertension during living donor liver transplantation: A clinical case study

Psychosocial Adjustment Of Breast Cancer Patients Post-Treatment Therapy and Mentoring. (Case Study of 4 Breast Cancer Patients in Sapkandara Community Medan)

Psychosocial Adjustment Of Breast Cancer Patients Post-Treatment Therapy and Mentoring. (Case Study of 4 Breast Cancer Patients in Sapkandara Community Medan)

Urban transformation of lakes and its impacts on a lake series: A case study of the yele mallappa shetty lake series Bengaluru, India.

The interconnected systems of lakes of Bengaluru, India, experience tremendous stress due to unsustainable urbanisation. Traditional lake-centric research approach struggles to capture and address this issue due to the cascaded nature of impacts in interconnected lake systems. Hence, this study assesses the impact of urbanisation on a lake series scale, focusing on the Yele Mallappa Shetty Lake series (YMSLS). Land use land cover change analysis (1993-2023) showed that in 1993, the YMSLS catchment area was dominated by open spaces (53.4%) and agriculture land and vegetation (35%), with built-up areas covering only 7.2%. By 2023, the built-up area has expanded to 34.6% and became the dominant land use. This rapid urbanisation has led to increased water surface area from wastewater influx, causing significant weed growth and water pollution in the lakes. Lake water quality assessment showed that faecal coliform, total coliform, dissolved oxygen, and biochemical oxygen demand levels exceeded standard limits with spatio-temporal variations driven by interconnectivity. Pollutant flushing during monsoon reduced pollution load in upstream lakes, but high wastewater inflow made downstream lakes, particularly the end lake, highly polluted but perennial. Increased water availability expanded the user base of the end lake, but traditional uses have declined and coping strategies of users, such as wastewater lift irrigation from the lake, became unsustainable. The study indicates that spatial interdependence and cascading effects necessitate a lake series approach for assessing the impacts of urbanisation on interconnected lake system, which is crucial for enhancing water security and preparedness for future extreme events.

Quantitative Evaluation of Reinforced Concrete Slab Bridges Using a Novel Health Index and LSTM-Based Deterioration Models

The Health Index (HI) serves as an essential tool for assessing the structural and functional condition of bridges, calculated based on the condition of structural components and the serviceability of the bridge. Its primary purpose is to identify the most deteriorated structures in an asset inventory and prioritize those in most urgent need of repair. However, a frequently cited issue is the lack of accurate and objective data, with the determination of the HI often being heavily reliant on expert opinions and engineering judgment. Furthermore, the HI systems used in most countries are dependent on the current state of bridge components, making it challenging to use as a proactive indicator for factors such as the rate of bridge aging. To address this issue, this study introduces a novel HI as a quantitative evaluation metric for reinforced concrete slab bridges and details the process of deriving the HI based on deterioration models. The deterioration models are derived by preprocessing the deterioration data of reinforced concrete (RC) slab bridges, wherein the relationship between time and deterioration is directly employed for training a long short-term memory model. The HI was validated through a case study involving six RC slab bridges, wherein accuracies of >93% were achieved, confirming that the proposed quantitative evaluation methodology can significantly contribute to maintenance decisions for bridges.

How Does the Novice Become the Expert? An Instrumental Case Study of Procedural Educators

Abstract Purpose The classic paradigm of procedural education in medical training has involved trainees learning and performing invasive bedside procedures and subsequently teaching these procedures to more junior trainees. Many existing resident-as-teacher curricula focus on cognitive domains; there has been a lack of literature examining the transition from learner to teacher in procedural education. This hypothesis-generating instrumental case study explored how expert procedural educators transitioned from novice procedural educators to experts. Method A constructivist approach with semistructured interviews was used to explore the individual narratives and experiences of faculty of the Hospitalist Procedure Service at the University of California San Francisco as they reflected on their journey from learners to teachers, focusing on the faculty of the hospitalist procedure team at the University of California San Francisco. All 12 Hospitalist Procedure Service faculty members received invitations to be interviewed, and 9 agreed to participate. Interviews were conducted between July and October 2023. Results The 9 interviews created a rich and complex picture of the individual experiences and perceptions of procedural teaching. The faculty members varied in experience, ranging from 2 years on the procedure service faculty to more than 15 years of experience. Four main themes emerged from the interviews: methods for building teaching skills, tools that facilitate further educator growth, essential behaviors of effective educators, and common challenges. Inductive thematic analysis revealed trial and error as a major means of building procedural pedagogy and the use of precise communication as a crucial skill to manage learner cognitive load and the emotional challenges associated with learning and teaching procedures. Conclusions The use of precise communication as a tool for both educator and learner to navigate the complexities of procedural teaching highlights the essential role of clear instruction and feedback in the learning process.

Public Spending and Inclusive Growth in Developing Asia

This paper examines the impact of government spending on inclusive growth in developing Asia, focusing on fiscal redistribution through education, health, and social benefits. Using panel data from 16 countries over the period 1970–2017, we apply a fixed-effects logistic regression model to assess the likelihood of inclusive growth episodes. Our findings indicate that fiscal redistribution, particularly through targeted health and education spending, significantly enhances the chances of achieving inclusive growth. The results also suggest that redistributive spending helps reduce income inequality, ensuring that the benefits of economic growth are more widely shared. We further explore the practical implications of these findings through case studies of China, India, and Vietnam, demonstrating how effective government spending can foster inclusive growth. The paper highlights the importance of well-targeted fiscal policies to support sustainable and equitable development in the post-COVID recovery.

Whether niche changes promote the evolution of species: a case study of Paeonia in Asia and North America

Ecological changes have been observed to promote rates of lineage diversification, yet the precise roles of ecological factors, species evolution, and environmental variability in driving species diversity remain research hot spots. The association between ecological change and lineage diversification, particularly with regard to the size of the time scale, remains poorly understood. To explore whether ecological change facilitates species evolution, we focused on the unique family Paeoniaceae, which encompasses both herbaceous and woody taxa, to investigate the evolutionary rates. As a unique family characterized by a single genus of angiosperms and comprising various climatic types, the ecological niche changes of Paeoniaceae are closely associated with the evolution, making it an ideal model for conducting association analysis. In this study, we integrated the molecular fragments and ecological factors to explore the relationship between species evolution and niche changes in Paeoniaceae. The phylogenetic tree revealed that Paeoniaceae forms a sister relationship with Penthoraceae, Haloragidaceae, Iteaceae, Crassulaceae, and Saxifragaceae, constituting an independent clade based on the positive selection of molecular fragments including two protein-coding genes and eight non-coding regions. The divergence time was estimated to be between 102 and 116 Mya (Million years ago). The phylogenetic tree within Paeonia revealed a clear division into three groups: sections of Paeonia, Moutan, and Onaepia with high support values for each branch based on the ten positive selection of molecular fragments. The rapid rate of evolution observed in Paeonia, about 0-5 Mya. In addition, ecological niche modeling showed that the potential distributions for Paeonia expanded from middle Asia to eastern Asia, and from central North America to the Northern part of North America during the Last Glacial Maximum (LGM) to Mid Holocene (MID) period. This suggests that Paeonia continuously adapted to changing ecological environments over time. Compared to the rate of climatic niche divergence and lineage diversification, the ecological niche of Paeonia underwent significant changes during the period of 3-11 Mya, occurring 5 Mya earlier than the period of evolutionary rate change. These findings offer comprehensive insights into the relationship between niche change and the evolution of species, providing valuable perspectives for further ecological cultivation efforts.

Model-Driven Development Towards Distributed Intelligent Systems

A Distributed Intelligent System (DIS) encompasses a set of intelligent subsystems and components that collaborate to perform tasks and solve problems. Given the advancements of paradigms such as the Internet of Things, along with the advancements of technologies such as Machine Learning and Digital Twins, DISs are on the rise. These systems are increasingly integrating components that perform intelligent functions, and these intelligent functions are increasingly heterogeneous and varied. Moreover, there is no standardized framework to help researchers and practitioners adequately address DISs. As a result, the complexity, interoperability issues, and development time and costs of these systems are growing. However, Model-Driven Development (MDD) can help to address these challenges by providing a Domain-Specific Language (DSL) for developing DISs. In this work, a DSL for the design, validation, generation, and deployment of DISs is proposed. Firstly, the proposed DSL captures in a metamodel the key and high-level abstract concepts of the distinct DISs documented in the literature. Then, it allows modeling of DISs conforming to this metamodel. Subsequently, the DSL enables formal validation of the modeled systems. Lastly, it allows the generation and deployment of all DISs into production. Therefore, the work undertaken in this communication provides a methodological, formal, and standardized approach to defining and developing DISs from a high level of abstraction. This work allows users to address DISs by facilitating agility, minimizing manual tasks, and reducing the number of defects introduced in their development. To illustrate the applicability of the proposed DSL, a real case study of an agricultural digital twin is presented.

Utilization of cement deep mixing pile for soft soil foundation: a malaysian case study

Cement deep mixing piles, as representatives of deep mixing technology, are mature and widely applied. However, effective application cases of cement deep mixing piles are relatively scarce in countries like Malaysia in Southeast Asia. In this paper, the application of cement deep mixing pile reinforcement in Malaysia is presented. Solidifying material was selected for deep mixing piles based on the soil conditions using unconfined compressive strength (UCS) tests. The relationship between the strength of deep mixing piles on-site and soil properties (type, organic matter content, and ion content) was analyzed. And a quality evaluation of the deep mixing piles in the project is conducted based on Kolmogorov-Smirnov (K-S) tests and relevant standards. Results show that fly ash cement is suitable as a solidifying agent for acidic soil layers containing organic matter in the local area. The strength of piles is significantly related to the soil condition. The UCS of cement mixing piles in silty clay and peat soils is smaller than clay. The overall correlation between organic matter content in the soil and UCS is negative, particularly when the organic matter content ranges from 10% to 14%, resulting in a significant drop in UCS. The bilateral significance probability is greater than 0.05 in K-S test, indicating that the UCS results in the projectconform to a normal distribution. Additionally, the evaluation of the overall quality of the mixing piles aligns with the requirements in the Japanese standard “Manual of Deep Mixing Construction Technology for Harbors and Airports” and the Chinese standard “Technical Code for Building Foundation Detection”.

Professional learning for leadership in early years: Comparing Sweden and England

This paper critically reviews England’s National Professional Qualification of Early Years Leadership (NPQEYL) and Sweden’s National Principal Training Program (NPTP). The design and implementation of these programs are critiqued considering the process of professional learning, with view of offering recommendations for future policies on professionalisation through leadership professional learning. The study compares the professional development using a simple multiple case study design. Analysis of sources highlight common themes of leadership, curriculum, agency, and professionalism. These are discussed in relation to how such programs may contribute to the early years sector, leading to recommendations to inform future professional learning opportunities.

Revitalizing Heritage: The Role of Urban Morphology in Creating Public Value in China’s Historic Districts

In the context of historical districts becoming a key to the urban transformation and high-quality development of Chinese cities, this paper investigates the regeneration of historic environments in China, emphasizing the creation of public value through urban morphology. By analyzing five distinct case studies—Chengdu KuanZhai Alley, Shanghai TianZiFang Alley, Guangzhou EnNing Road, Taiyuan ZhongLou Street, and Beijing NanLuoGu Alley—this study explores the relationship between urban form and public value creation from 2000 to 2020. The research posits that the spatial attribute of “public nature” is central to the regeneration process, highlighting the importance of understanding how urban spaces can foster community engagement and social interaction. An evaluation system is constructed to assess the regeneration of historic areas based on spatial “publicness” and people’s perceptions, addressing the need for a more nuanced approach to urban planning. The findings reveal that effective urban regeneration not only preserves historical significance but also enhances the quality of public spaces, thereby contributing to social equity and cultural integrity. This study aims to provide valuable insights for urban planners and policymakers, advocating for a public value-oriented approach to the renewal of historic districts that balances economic development with the preservation of cultural heritage. The integration of public value concepts into heritage management is crucial for creating vibrant urban environments that resonate with community needs and aspirations.

An evaluation of morphometrical trends in a population of Woodringina hornerstownensis Olsson, 1960 (Foraminifera) reveals the role of intraspecific variations for paleoceanographical studies

The foraminiferal species Woodringina hornerstownensis is stratigraphically limited between the stages Danian and Selandian and was adapted to inhabit the mixed layer water column. We present a case study based on morphometry of W. hornerstownensis recovered in upper Danian strata (biozone P2) in the Pernambuco-Paraiba Basin at the Poty quarry. The morphometric data, associated with abundance and geochemical indicators, point to (i) an increase in size towards the top of the studied interval, associated with the shallowing-upward trend of the Maria Farinha Formation, and (ii) an increase in size directly related to the increase in abundance. By integrating and incorporating a specific variation of W. hornerstownensis into abundance parameters, we conclude that the shell increase appears to be consistent. Our results suggest that the increase in size responds to environmental optimum conditions for the species W. hornerstownensis. In a broader context, our work demonstrates the usefulness of morphometric indicators and the significance of intraspecific variation when interpreting macroecological patterns. Keywords: planktic foraminifera, paleoceanography, intraspecific variation, upper Danian, South Atlantic Ocean.

Integrating deep learning for visual question answering in Agricultural Disease Diagnostics: Case Study of Wheat Rust.

This paper presents a novel approach to agricultural disease diagnostics through the integration of Deep Learning (DL) techniques with Visual Question Answering (VQA) systems, specifically targeting the detection of wheat rust. Wheat rust is a pervasive and destructive disease that significantly impacts wheat production worldwide. Traditional diagnostic methods often require expert knowledge and time-consuming processes, making rapid and accurate detection challenging. We drafted a new, WheatRustDL2024 dataset (7998 images of healthy and infected leaves) specifically designed for VQA in the context of wheat rust detection and utilized it to retrieve the initial weights on the federated learning server. This dataset comprises high-resolution images of wheat plants, annotated with detailed questions and answers pertaining to the presence, type, and severity of rust infections. Our dataset also contains images collected from various sources and successfully highlights a wide range of conditions (different lighting, obstructions in the image, etc.) in which a wheat image may be taken, therefore making a generalized universally applicable model. The trained model was federated using Flower. Following extensive analysis, the chosen central model was ResNet. Our fine-tuned ResNet achieved an accuracy of 97.69% on the existing data. We also implemented the BLIP (Bootstrapping Language-Image Pre-training) methods that enable the model to understand complex visual and textual inputs, thereby improving the accuracy and relevance of the generated answers. The dual attention mechanism, combined with BLIP techniques, allows the model to simultaneously focus on relevant image regions and pertinent parts of the questions. We also created a custom dataset (WheatRustVQA) with our augmented dataset containing 1800 augmented images and their associated question-answer pairs. The model fetches an answer with an average BLEU score of 0.6235 on our testing partition of the dataset. This federated model is lightweight and can be seamlessly integrated into mobile phones, drones, etc. without any hardware requirement. Our results indicate that integrating deep learning with VQA for agricultural disease diagnostics not only accelerates the detection process but also reduces dependency on human experts, making it a valuable tool for farmers and agricultural professionals. This approach holds promise for broader applications in plant pathology and precision agriculture and can consequently address food security issues.

Case report: CD7-targeted autologous CAR-T therapy for the treatment of T-cell acute lymphoblastic leukemia undergoing allogeneic peripheral blood stem cell transplantation in the long-term follow-up

IntroductionChimeric antigen receptor T-cell (CAR-T) therapy has emerged as a promising approach for treating relapsed/refractory (r/r) T-cell acute lymphoblastic leukemia (T-ALL). However, it is mostly used as a bridging therapy for allogeneic hematopoietic stem cell transplantation (allo-HSCT). Furthermore, secondary allo-HSCT is costly and associated with significantly high treatment-related mortality rate than the primary transplants. In this report, we present the case of an adult T-ALL patient who underwent CD7-targeted autologous CAR-T cell therapy that was not bridged with secondary allo-HSCT.Case presentationThe adult T-ALL patient relapsed for a third time after undergoing allogeneic peripheral blood stem cell transplantation (PBSCI) and achieving the first complete remission (CR1). Therefore, the patient was administered CD7-targeted autologous CAR-T cell therapy that was not bridged with secondary allo-HSCT. Towards this, the endogenous CD7-deleted CAR (CD7-CAR7) T cells were generated using CRISPR/Cas9 gene-editing technology. However, after the first infusion, the CD7 CAR-T cells did not show significant proliferation when analyzed at two weeks and the patient became positive for peripheral measurable residual disease (MRD). Therefore, after a two-week period, an augmented dose of CAR-T cells was administered. MRD was monitored in the peripheral blood and bone marrow samples. The patient achieved complete remission and did not require targeted treatment after the completion of CD7 CAR-T-cell therapy. The current follow-up data has shown that the patient is negative for MRD and has been disease-free for more than 42 months.ConclusionThe results of this case study provide evidence for the long-term efficacy of CD7-targeted autologous CAR-T-cell therapy without requiring secondary allo-HSCT in patients with r/r T-ALL that have relapsed after previous allogeneic PBSCT.

The Past, Present and Future of Voter ID in Great Britain—Voter Turnout, Rejection and Confidence

AbstractThis article examines the implementation of voter identification at polling stations for elections in Great Britain, in particular following the passage of the Elections Act 2022. For this purpose it groups the affected and most significant elections into four chronological studies. These are, first, the initial pilot schemes conducted in 2018 and 2019, second, the May 2023 local elections in England, third, the 10 parliamentary by-elections held in Great Britain between July 2023 and May 2024, and fourth, the July 2024 UK General Election which marked by far the biggest test of the new requirements. The article examines the historical context and key statutory provisions which introduced voter ID, before analysing the respective studies relying on official Electoral Commission and UK Parliament data, as well as data gathered by volunteer organisations and the author’s own observations at polling stations. For this purpose, the case studies focus on the issues of voter turnout, rejection and confidence, as these are easily quantifiable measures which can assist with the legal analysis. As such, the article assesses the legality of voter identification laws in the UK, in particular from a human rights perspective, arguing that the implementation of voter ID has been problematic from the outset. Data produced after the elections raises further questions over the necessity and proportionality of the measures, suggesting that further reforms are needed if the policy is to remain in place.