bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring the management of recurrent angioedema caused by different mechanisms
Authors: Mormile Ilaria , Suffritti Chiara , Bova Maria 
Published: November 2024

Purpose of review
We aim to explore the most recent insights into the pathogenesis of recurrent angioedema caused by different mechanisms and then focus on the management and treatment approaches available.

Recent findings
The recently developed DANCE consensus classification identifies five types of angioedema: mast cell-mediated (AE-MC), bradykinin-mediated, because of intrinsic vascular endothelium dysfunction (AE-VE), drug-induced (AE-DI), and due to unknown mechanisms (AE-UNK). These subtypes require different management with treatment choices targeting the main pathogenetic pathways involved in each form. For AE-MC and AE-BK, the therapeutic landscape has been significantly widened in recent years. Conversely, there is a lack of consensus for the hereditary forms because of newly discovered mutations (factor 12, plasminogen, kininogen-1, myoferlin, angiopoietin-1, heparan sulfate 3-O-sulfotransferase 6) and AE-UNK.

Summary
Recurrent angioedema can present with or without wheals. Angioedema without wheals may be driven by bradykinin and/or mast cell mediators. The different forms respond to specific drugs and require a different management. For its potentially life-threatening and disfiguring features, angioedema should be promptly recognized and effectively treated. For this reason, enhancing awareness about various angioedema subtypes and their management provide a useful tool for the clinical practice.
Type 2 diabetes: a contemporary view from the Asian lens
Authors: Ratnasingam Jeyakantha , Lim Quan Hziung , Chan Siew Pheng 
Published: November 2024

Purpose of review
The aim of this article was to review the up-to-date evidence with regards to the unique features of the Type 2 diabetes (T2D) pathophysiology, complications, response to therapy with the possibility of precision medicine guiding therapeutic decision making in Asia.

Recent findings
Asia is the epicenter of diabetes. There have been marked advances with genotyping and phenotyping of the Asian patient with T2D, particularly with young onset diabetes where early beta cell failure and rapid progression of complications are more frequent. As Asians have lower muscle mass and higher adiposity, sarcopenia is increasingly associated with diabetes. Response to lifestyle and pharmacotherapy are generally similar, but unique features exist with different populations. Across Asia, use of guideline directed medical therapy for cardio-renal protection are recommended, but uptake of these newer agents are suboptimal and barriers exist with regards to standardized care.

Summary
Although many similarities have been observed across Asia, due to the heterogeneity of populations within Asia, further research is required to streamline and pave the way towards precision medicine. There is an urgent need for region wide consensus to minimize barriers to diabetes care and stigma in diabetes terminology across Asia.
Preeclampsia and fetal growth restriction: does novel proteomics reveal immunological possible candidate biomarkers?
Authors: Winther Marie , Dziegiel Morten Hanefeld , Thorsen Steffen Ullitz 
Published: November 2024

Purpose of review
The aim of this review is to explore a possible link between immunological candidate proteins, identified through modern proteomic techniques, and preeclampsia (PE) and fetal growth restriction (FGR).

Recent findings
Proteomics has become a promising tool in the search for disease pathways, drug targets, and biomarkers. PE and FGR are adverse pregnancy complications with supposed immunological involvement in their pathogenesis, but no circulating immunological biomarkers are currently established for diagnosis and risk stratification. Several proteomic studies have aimed to identify PE and FGR biomarkers - often with varying results across studies. However, proteomics has revealed altered expression of human leukocyte antigen-I in PE cases, which is supported in Genome-wide association study (GWAS) studies. Proteomic results support the heterogeneous nature of PE by identification of molecular subgroups – including subgroups characterized by immune-related proteins e.g. CXCL10. No specific immunological markers are found on FGR, but differences in overall plasma proteomic signature have been suggested.

Summary
Proteomics certainly holds great potential. The immunological component in PE and FGR are still unclarified, but improvements in proteomic technologies may provide both definition of disease subgroups and subsequent discovery of biomarkers and targeted analysis within each subgroup.
Chronic rhinosinusitis and asthma: epidemiology, pathophysiology, morbidity, treatment
Authors: Speth Marlene M. , Liu David T. , Besser Gerold , Sedaghat Ahmad R. 
Published: November 2024

Purpose of review
Especially with the advent of biologics which have originally been prescribed primarily for pulmonary disease, the interconnections between asthma and chronic rhinosinusitis are becoming even more apparent. Biologics can now also be prescribed for chronic rhinosinusitis in some countries. But what is the epidemiology, pathophysiology and treatment of both diseases?

Recent findings
This review covers the epidemiology, pathophysiology, morbidity and treatment of both diseases. Specifically, this review highlights the interdependencies of both diseases and potential future treatment options.

Summary
This review aims to alert physicians to go beyond treating only one of the diseases, but rather to get a broader picture of the diseases and treatment options.
Therapeutic Outcomes in 691 Angiosarcomas of the Head and Neck—A Retrospective SEER Study
Authors: Knoedler Leonard , Hoch Cosima C. , Baecher Helena , Geldner Benedikt , Niederegger Tobias , Knoedler Samuel , Lellouch Alexandre G. , Heiland Max , Koerdt Steffen , Alfertshofer Michael 
Published: November 2024

Angiosarcomas (AS) are an aggressive subtype of head and neck tumors. Current outcome research is limited to single-surgeon and/or single-institution data. This study analyzes the Surveillance, Epidemiology, and End Results program (SEER) database data to improve outcomes of head and neck AS. In this study, the authors accessed the SEER database from 2000 to 2020 to identify patients who underwent surgical and/or nonsurgical treatment of head and neck AS. Data included demographics, diagnostic workup, tumor characteristics, treatment pathways, and therapy outcomes. The study included 691 patients (210 females, 481 males) with AS of the head and neck. The median tumor size was 40 mm. Most patients (63%) underwent surgery, with surgery followed by radiation being the most common treatment combination (50%). Median survival was 16 months. Patients treated with surgery showed significantly longer survival (18 mo) compared with nonsurgery cases (12 mo, P<0.001). Neoadjuvant treatment significantly improved survival (28 mo) compared with non-neoadjuvant cases (15 mo, P=0.023). Adjuvant treatment also improved overall survival (19 mo) versus nonadjuvant treatment (14 mo, P<0.001). There was no significant difference between neoadjuvant and adjuvant treatment outcomes (P=0.270). Bottom of Form This study compares the outcomes of multimodal treatments, especially surgery and radiotherapy, for head and neck AS, emphasizing tailored approaches to optimize patient outcomes and extend survival. Future research should refine these strategies.
Current gaps in acute reperfusion therapies
Authors: Nguyen Thanh N. , Xiong Yunyun , Li Shuya , Abdalkader Mohamad , Chen Hui-Sheng 
Published: November 2024

Purpose of review
Advances in intravenous thrombolysis and endovascular thrombectomy have significantly reduced disability and improved outcomes associated with acute ischemic stroke.

Recent findings
An expansion of indications for reperfusion therapies in select groups of patients to permit treatment in an extended time window, with large ischemic core, and with simplified imaging protocols have enabled a broader group of patients access to disability-sparing therapy. Cerebroprotection has had renewed development in the era of acute reperfusion.

Summary
In this review, we highlight recent developments in stroke reperfusion research and related questions that are under study or remain unanswered.
Delivery of Peptide Coacervates to Form Stable Interaction Hubs in Cells
Authors: Tu Wangjie , Theisen Rachel Q. , Jin Pengfei , Chenoweth David M. , Patel Amish J. , Good Matthew C. 
Published: November 2024

AbstractCells contain membrane-bound and membraneless organelles that operate as spatially distinct biochemical niches. However, these subcellular reaction centers lose fidelity with aging and as a result of disease. A grand challenge for biomedicine is restoring or augmenting cellular functionalities. Although commonly tackled by gene replacement therapy, an excited new strategy is the delivery of protein-based materials that can directly interact with and alter biological networks inside a cell. In this study we sought to develop long-lasting materials capable of cellular uptake and incorporation, akin to an artificial organelle or intracellular interaction hub. Drawing inspiration from protein-based membranelles organelles, we developed a new delivery method to transplant micron size peptide-based compartments into living cells. We determined conditions to form large stable coacervates that are efficiently taken up by a variety of useful cell types and demonstrate their intracellular stability over time. We developed tools to enhance the extent and spatial organization of cargo loading into these coacervates, including co-assembly of nanobodies that selectively bind to targets of interest. Combining them together, we demonstrate successful targeting of GFP protein inside cells. These results represent an important first step toward the development of deliverable synthetic organelles that can be fabricated in vitro and taken up by cells for applications in cell engineering and regenerative medicine.
Operations strategy at Kaspians Cafe
Authors: Sahu Aditya Kumar 
Published: November 2024

Learning outcomes
After completion of the case study, students will be able to learn to conduct the 5Cs (Customers, Collaborators, Capabilities, Competitors, Conditions) and Porter’s five forces analysis for understanding the situation of any company; to understand various demand forecasting techniques with the case example of Kaspians Café; to analyse different factors that influence the demand with the case example of Kaspians Café; and to learn how to choose the best time-series forecasting method based on the available dataset.

Case overview/synopsis
This case study focuses on operations strategy, specifically analysing the issues encountered by the Kaspians Café, a food joint establishment located within the Kaspians Institute of Management. Kaspians Café, due to its large student clientele, encountered operational inefficiencies such as inadequate inventory management, stockouts and wastage. These issues resulted in financial losses and customer dissatisfaction. This case study focuses on forecasting the demand for different food items at different times to get a better understanding of the stock to be maintained at Kaspians Café. Furthermore, Shyam Manral, the owner of Kaspians Café, was confronted with the difficulties arising from the surging popularity of neighbouring Dhabas and the escalating impact of food delivery platforms such as Zomato and Swiggy. The formerly prosperous Kaspians Café establishment, known for its uniform offers, was now encountering strong competition from the quaint ambience and varied menus of the Dhabas situated in close proximity to the campus entrance. These conventional establishments not only accommodated the changing preferences of students but also functioned as convenient centres for social meetings. The emergence of Zomato and Swiggy had revolutionised the eating patterns of students by providing a wide range of choices that were conveniently delivered to their residences, thereby diminishing the attractiveness of Kaspians Café. Manral was struggling to revive his business in light of these shifting circumstances. He pondered how to keep consumers loyal in the middle of changing cuisine preferences and the convenience provided by contemporary food delivery services.

Complexity academic level
This case study can be used in the operations management course at the MBA/postgraduate level.

Supplementary materials
Teaching notes are available for educators only.

Subject code
CSS 9: Operations and logistics.
Reverse innovation for global sustainable development: a conceptualisation
Authors: Corsi Simone , Bianchi Lara 
Published: November 2024

Purpose
This study offers a first conceptualisation of sustainable reverse innovation by discussing the contribution of innovation from the Global South towards sustainable development. In so doing, this study aims to recognise an active role played by developing countries in creating viable and innovative solutions that can contribute to the achievement of sustainable development for all.

Design/methodology/approach
This study presents five innovation vignettes and discusses them through an antecedents–enablers–consequences scheme for exploring the concept of sustainable reverse innovation. While discussing the model components, this study develops propositions to drive future research directions.

Findings
This study contributes to both development studies and innovation studies by recognising and highlighting the role played by businesses in addressing global challenges through sustainable innovation sourced from or inspired by developing countries.

Originality/value
To the best of the authors’ knowledge, this is the first study that offers a conceptualisation of sustainable reverse innovation that goes beyond the low-cost and frugality connotation that has characterised the debate surrounding innovation from emerging economies.
Canadian HEIs’ contribution to the SDGs: what do the times higher education impact rankings unveil?
Authors: Ordonez-Ponce Eduardo , Khare Anshuman , Khare Kriti 
Published: November 2024

Purpose
This study aims to assess the performance of Canadian higher educational institutions (HEIs) on the sustainable development goals (SDGs) from 2019 to 2023, determine where they have focused on, whether they have improved or not their performance and assess if having larger research income affects their sustainability performance.

Design/methodology/approach
Data were collected from the Times Higher Education Impact Rankings from 2019 to 2023 on 27 Canadian HEIs, and statistical tests were used to assess performance, trends and significant differences.

Findings
Results show that while overall Canadian HEIs are performing better on the SDGs, their minimum and maximum scores have improved and the variance across universities has declined; their performance on social and economic SDGs is significantly positive on some but not all these SDGs. More importantly, their environmental performance is poor, with a constant decline in their score on SDG#13 – climate action, which peaked in 2019 and was significantly higher than that of 2023. Results also show smaller research universities perform better than top institutions.

Originality/value
There is a lot of research on the impact of universities on the SDGs; however, this study makes a deeper and statistical assessment of a quarter of Canadian universities on all the SDGs, with important findings for decision makers to consider as they accept and act according to the role that educational institutions should play in sustainable development.
Revealing the United Nations sustainable development goals in international massive open online course (MOOC) content: text analysis based on machine learning
Authors: Liu Ruolan , Xie Zerong , Lei Chi-Un , Chiu Dickson K. W. 
Published: November 2024

Purpose
Based on the sustainable development goals (SDG) adopted by the United Nations in 2015, this study aims to analyse the content of selected massive open online courses (MOOCs) to reveal the distribution pattern of SDG implementation in online education. In addition, the impact of including SDG content on course popularity was explored.

Design/methodology/approach
The authors searched the descriptive texts of all courses on the three largest international MOOC platforms and used the OSDG 2.0 algorithm (an open-source tool that maps and connects activities to the UN SDGs by identifying SDG-relevant content in any text) to classify these descriptive texts. Combined with the number of enrolments and course category classifications, this study analysed the current presence of sustainable development in MOOCs, based on text analyses.

Findings
The findings revealed the distribution of SDGs among the three most influential MOOC platforms and different categories, the most relevant keywords to SDGs, and the most often referred topics. The results indicated that the enrolment number of MOOCs labelled with SDGs is generally lower than those without SDG labels and the situation varies among course categories.

Originality/value
This study verified the general pattern of distribution of different SDGs in education for sustainable development (ESD) of MOOCs, with the breadth and depth of the MOOC content analysis surpassing existing research. Based on these findings, MOOC platforms should further increase attention to ESD on their websites. This study also verified the feasibility of using machine learning methods to quantitatively evaluate the sustainable development context of text within the framework of the SDGs.
Examining the critical barriers to NZEBs’ implementation in the Ghanaian construction industry
Authors: Pittri Hayford , Oduro Samuel , Atibila David Wireko , Kwasafo Oscar Kwame , Abdallah Aisha , Anteh Eunice Deedei 
Published: November 2024

Purpose
Net zero energy buildings (NZEBs) are essential for reducing the environmental consequences of the construction industry. However, its uptake within the industry has been limited, and the inherent barriers remain not fully explored especially in developing countries. This paper aims to examine the critical barriers that hinder the implementation of NZEBs in the construction sector of developing economies like Ghana.

Design/methodology/approach
Quantitative data were collected from 80 construction professionals in the Ghanaian construction industry (GCI) using online survey questionnaires. The data set underwent analysis following a four-level analytical protocol comprising reliability test analysis, mean score ranking, exploratory factor analysis and fuzzy synthetic evaluation.

Findings
Market readiness barriers were considered the most crucial barriers to the implementation of NZEBs in the GCI with an index of 4.023. This was followed by awareness and policy barriers with an index of 4.007. Finally, resistance to change, then cost and capacity barriers were ranked third and fourth, based on their indices of 3.763 and 3.615, respectively.

Originality/value
The results of this research shed light on a relatively unexplored area within the construction sector, particularly in a developing country like Ghana. The findings of this study will provide valuable information to support policy reviews and formulation and buttress the drive towards sustainability and achieving NZEBs.
Artificial intelligence and the quality of accounting information in Palestinian industrial companies
Authors: Awwad Bahaa Subhi , Alkababji Majdi Wael , Razia Bahaa Subhi 
Published: November 2024

Purpose
This study aims to identify the impact of adopting different techniques of artificial intelligence including (expert systems, machine learning, neural networks and algorithms) in improving the quality of accounting information characteristics such as; appropriateness, faithful representation and verifiability in Palestinian industrial enterprises.

Design/methodology/approach
Employees from 13 companies registered on the Palestine Stock Exchange for 2023 were selected. Moreover, the sample included 326 randomly chosen participants. A questionnaire was distributed to participants to collect data, and a descriptive-analytical approach was followed to achieve the study’s aim and examine its hypotheses.

Findings
The results showed that the use of artificial intelligence techniques (expert systems, machine learning, neural networks and algorithms) has a positive effect on improving the quality of accounting information characteristics (relevance, faithful representation and verifiability). Expert systems, neural network applications and algorithms contribute to developing solutions to various problems in industrial companies; discovering fraudulent practices in financial statements; and obtaining more accurate, faster and more reliable results. Machine learning also links the company’s systems together simultaneously and in an integrated and effective manner.

Research limitations/implications
The research relied on the industrial sector only because expanding society is difficult due to the general conditions in Palestine, and the results may vary between different sectors due to the nature of their work and activity.

Practical implications
Industrial companies’ efforts to benefit from artificial intelligence applications in their work increase the quality of accounting information, which in turn reflects the company’s real situation and helps in making the necessary decisions efficiently and effectively.

Originality/value
This study contributes to directing the attention of financiers and accountants working in Palestinian industrial companies to the importance of applying artificial intelligence techniques to ensure the highest quality characteristics of accounting information through the preparation of accounting programmes that rely on artificial intelligence to operate, thus achieving the maximum degree of advantage in compiling financial data from its sources, operation and conversion into useful financial information for its users.
A need for a comprehensive health financing strategy in Pakistan: an analysis of key health financing issues
Authors: Khan Mohsin Raza , Nazir Muhammad Arsalan , Afzal Sabeen 
Published: November 2024

PurposeThis study aims to analyze the challenges in financing the healthcare system of Pakistan and develop a comprehensive health financing strategy aimed at achieving universal health coverage (UHC).Design/methodology/approachThe paper utilizes World Health Organization (WHO) framework on health financing to build the argument. It uses qualitative research design involving focus group discussions and in-depth interviews with key stakeholders, including Federal Board of Revenue, Ministry of Finance, Planning Commission, development partners, academia and health ministries at federal and provincial levels, as well as social health insurance entities.FindingsThe research findings highlight several critical issues within Pakistan’s healthcare system: Firstly, health spending is inadequate to provide financial protection to 24 million people. Secondly, the available health funding is allocated in clusters and caters primarily to specific groups, which exacerbates inequities in healthcare provision. Thirdly, the existence of multiple purchasing agents who operate concurrently to buy health services results in duplication and wastage of resources. Fourthly, the public financial management system, intended to support the swift distribution of public funds to health facilities, is not aligned with the requirements of the health system. Lastly, the devolved health setup has led to governance issues in managing the health sector.Originality/valueThis study fills a significant gap in the literature on health financing within Pakistan and proposes a unique empirical approach using WHO’s framework in a decentralized healthcare context. It also provides actionable recommendations for policymakers to develop strategies that improve the effectiveness of public financial management and health service delivery.