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A Conceptual Framework to Predict Disease Progressions in Patients with Chronic Kidney Disease, Using Machine Learning and Process Mining
No full textProcess Mining is a technique looking into the analysis and mining of existing process flow. On the other hand, Machine Learning is a data science field and a sub-branch of Artificial Intelligence with the main purpose of replicating human behavior through algorithms. The separate application of Process Mining and Machine Learning for healthcare purposes has been widely explored with a various number of published works discussing their use. However, the simultaneous application of Process Mining and Machine Learning algorithms is still a growing field with ongoing studies on its application. This paper proposes a feasible framework where Process Mining and Machine Learning can be used in combination within the healthcare environment
Building brand immunity: How to create resilient customer relationships in turbulent times
No full textIn many markets, volatility has become routine. Brands are increasingly learning that customer affection alone is insufficient to withstand buy-local movements, geopolitical friction, or viral scandals. When disruption strikes, a critical question emerges: which customers will stand by the brand, and how can firms ensure that their efforts are focused where they will have the greatest impact? Drawing on recent work on brand immunity, this paper outlines how managers can apply this concept in everyday decision-making. Brand immunity refers to customers’ resistance to changing their brand evaluations when confronted with negative information. We translate this idea into actionable guidance through the Integrated Brand Immunity Process, a continuous four-phase cycle that frames resilience as a strategic capability. Central to the diagnostic phase of this process is the Customer Immunity Management Matrix, which maps customers by value and immunity strength to help managers determine which relationships to anchor, fortify, leverage, or minimize. By integrating this prioritization with an explicit assessment of threat nuance and ongoing renewal, the process converts empirical insight into a practical framework for building customer resilience in turbulent times
The Audit of Student Representation and Voice Practice
No full textStudent engagement in the development of education through student voice activities, such as student representation at course level is assumed as a sector norm in the UK. Since the professionalisation of students’ unions in the 2000s and 2010s to develop student voice teams (Bols, 2020), all UK universities have followed the Quality Code’s Student Engagement Theme (2018) (formerly Chapter B5, 2013) to embed student-staff engagement in voice activities across their provision (Bols, 2017). However, the often-assumed practice of democratically-elected and volunteers student representatives, which used to be assumed cross-sector practice, has evolved at institutions, creating an unknown spread of varied practice across UK HEIs. Beyond course-level representation schemes, many universities and students’ unions are experimenting in student voice activities to create new ways of engaging students locally, in professional service areas, and strategically, across universities.
To respond to the above developments, in 2025, the University of Westminster supported by the RAISE Network lead a sector audit of student engagement in student voice, student survey and student representation activities across UK Higher Education, to temperature-check and share contemporary practice post-COVID-19. Following the Lowe and Lowe (2020) audit of students engaged in quality assurance panels, fielding responses from 40 UK Universities, this project aspires to gain responses from at least 100 students’ unions and universities. The study aimed to gain a sector assessment of current questions relating to electing vs selecting, rewarding vs voluntary, and balance of organising student engagement in voice, surveys and representation activities across modern HE Institutions.
Project funding was secured from the Quality Assurance Agency for Higher Education (QAA) as part of the 2025 Collaboration Enhancement Fund. The fund of £10,000 would support the research capacity to conduct the below phases of research, as well as disseminate the findings across the wider Higher Education sector.
This project focuses on two main areas of activity:
• Phase 1: An institutional survey-based audit which explored student engagement practice with course, school and faculty-level representatives, as well as gathering information on the use of course-level evaluations and university surveys.
• Phase 2: A qualitative follow-up series of interviews to identify innovative practice in the space of university-wide consultation committees.
Ethics for the project was confirmed by University of Westminster Business School Ethics Committee on 1st April 2025 (Reference: ETH2425-1095)
Propositions: The Architecture School
No full textReflection on my Air Grid 'Propositions' project for a new kind of architecture school
Data from: Light pollution at night impacts monarch butterfly growth and performance
No full textPlease cite as: Gurholt, H., Arun, R., Lopez-Sepulcre, A., Agrawal, A., & Gordon, S. (2026). Data from: Light pollution at night impacts monarch butterfly growth and performance [Data set]. Cornell University. https://doi.org/10.7298/PARD-TT61Artificial light at night (ALAN) can be an anthropogenic stressor, yet its effects on wildlife, especially diurnal insects
remain poorly understood. We test how ALAN influences larval growth, development, and performance of monarch
butterflies (Danaus plexippus) reared on two host milkweed species (Asclepias syriaca and A. incarnata). Field
experiments with four cohorts over two years revealed that exposure to ALAN from white LED streetlights
consistently increased caterpillar growth rates by nearly 16% and shortened larval development time, resulting in an
8% increase in adult fresh mass across both plant species. Nonetheless, ALAN had little effect on wing loading
(fresh mass to wing surface area) or adult dry mass. Host plant interacted with ALAN to impact wing morphology:
butterflies reared on A. syriaca had 7% larger wings under ALAN, while those on A. incarnata were not affected.
Seasonality profoundly shaped monarch life-history traits, with the migratory generation developing in late summer
(August–September) exhibiting slower growth, extended developmental periods, and emerging with 44% less body
mass and 30% reduced wing loading capacity compared to early summer (June–July) breeding generations. Finally,
a path analysis revealed that ALAN enhanced larval growth, on par with the effects of feeding on A. syriaca
compared to A. incarnata, increasing fresh mass and wing size by accelerating investment in early development.
Our findings underscore that light pollution at night alters the entire developmental trajectory of these
holometabolous insects, highlighting its strong capacity to reshape insect life histories in the Anthropocene.Funding sources: Sustainable Biodiversity Fund from the Cornell Atkinson Center for Sustainability, Andrew W. Mellon Fund, Cornell Chapter of Sigma Xi, and NSF IOS-2209762 to Anurag. A Agrawal
Bottled Aspen, Beech, and Birch Saps
No full textAspen (Populus tremuloides), beech (Fagus grandiflora ), and birch trees (Betula spp. ) are abundant in diverse forests across the northeastern United States. Sap can be harvested from these trees and provide an increased diversity in food and beverage products for operations producing maple syrup. At present, these trees are not commonly tapped for their sap as maple trees (Acer spp. ) are, though their sap can be collected and boiled into syrup. Because aspen, beech, and birch sap each contain less than 1% sugar, requiring a sap to syrup ratio as high as 140:1 to produce syrup, it is more practical to use the sap in food and beverage products. This article reviews the composition of aspen, beech, and birch saps, common preservation and packaging methods, regulatory guidelines, an overview of commercial production procedures, and consumer evaluations.Funding for Project was made possible by a grant agreement from the Northern New York Agricultural Development Program
Climate Jobs New Jersey: Moving Towards a Resilient Future
No full textClimate change has arrived in the Garden State in the form of extreme heat, frequent heavy precipitation, and increased wildfire risk. Nowhere has the magnitude of accelerating climate impact been clearer than during Hurricane Sandy, when the state faced lasting major damage to critical infrastructure like roads, buildings, and energy systems that make New Jersey a linchpin of the northeast regional economy.
Safeguarding New Jersey against the future effects of climate change will require significant, coordinated investments in key infrastructure upgrades across the state’s varied economic sectors, including in energy and electricity, public and private buildings, water systems, roadways, and waste processing. All of these projects have the potential to generate significant in-state jobs. When these jobs are paired with a guarantee to generate high-quality, family sustaining, union careers, New Jersey has the chance to turn the economic risk posed by the climate crisis into a true economic opportunity to uplift working class people and build a resilient, thriving state.
As federal commitment to climate action dwindles, the Garden State must lead on pursuing a vision that not only makes the state safer for its residents, but also more affordable, healthy, and prosperous for all workers. The following report outlines a number of key policy pathways that would not only tackle the state’s climate responsibilities, but also generate high-quality jobs for New Jersey’s unions and workforce to create a more resilient future for New Jersey
The Chinese Censorship Discourse on Television Dramas: Worrying about the Audience in
No full textThis book offers a compelling look at how television censorship in China works not just as top-down control but as interactions between state, industry, and viewers.
As a historical study of the discourse on Chinese television censorship, it analyses debates around the censorship of popular television dramas in China and explores the controversies surrounding the televisual representation of history, violence, delinquency, and vulgarisation. Focusing on the idea of “worrying about the audience”, the book shows how concerns about young people’s morality, social responsibility, and cultural standards shape what (dis)appears on screen. Covering the early reform period to the 2010s, case studies include but are not limited to foreign action series (Garrison’s Gorillas), domestic melodramas (Yearnings), controversial historical dramas (Towards the Republic), Gangtai pop idol dramas (Meteor Garden), and playful wuxia comedies (My Own Swordsman). Each case reveals how censors, producers, and critics invoke imagined audiences—whether impressionable youth or patriotic citizens—to justify cutting or promoting content. By treating audiences as constructed categories rather than immutable groups, the book moves beyond seeing censorship as repression. Instead, it demonstrates how a refreshing take on censorship can shed light on the generation of new content, revive overlooked titles, and frame broader debates about culture, anxieties, and geopolitics. Drawing on regulatory documents, press reports, interviews, audience letters, and parents’ complaints, the book compares both popular hits and hidden gems, demonstrating how the discourse on melodrama, history, and martial arts genres reflects moral and commercial pressures in postsocialist China.
In contributing to the burgeoning field of censorship studies which rethinks censorship as productive, rather than reductive, The Chinese Censorship Discourse on Television Dramas will be of huge interest to scholars and students of television studies, popular culture, censorship studies, Chinese studies, media studies, cultural studies, memory studies, social history, and politics
Strategic multimodal evaluation for air-rail networks
No full textAchieving a modal shift from air to rail is a critical priority for decarbonising Europe’s transport sector, requiring models that can capture multimodal passenger behaviour and assess network performance under varying policy and infrastructure scenarios. The Strategic Multimodal Evaluator developed in the MultiModX project, which integrates four core functions: (1) generating possible itineraries across air and rail mobility layers; (2) modelling passenger choice to distribute demand among alternatives; (3) assigning flows to services while respecting capacity constraints; and (4) computing performance indicators to evaluate effectiveness from infrastructure, regional, and passenger perspectives. The methodology is applied to a case study in Spain, examining three policy packages — baseline, multimodal incentivisation (integrated ticketing and CO2 taxation), and flight bans —revealing limited impact on intra-Spain mobility but demonstrating the model’s capacity to capture shifts in travel patterns and infrastructure usage