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Oily wastewater presents a serious environmental challenge, demanding sustainable and regenerative membrane technologies. Here, we report a green and scalable method for fabricating skin-replaceable cellulose membranes (SRC-M) from jute agro-waste, using a NaOH/urea activation route and argon-pressurized deposition onto ceramic supports. The resulting Cellulose II-based asymmetric membranes exhibi
This chapter will describe how educators can use uncertainty field books to explore students’ experiences as they navigate in complex and uncertain knowledge and information spaces, to engage others, and to start, grow and sustain movements for change using the groaning in the groan zone. In describing the field book, method and practice, but foremost students’ narratives, the chapter sets it up a
Background: Health system performance assessment helps identify areas for improvement and guides policy initiatives. Although well-validated indicators exist for measuring organ donation and transplantation performance at the facility level, consensus on indicators for assessing national programmes is lacking. The aim of this study was to develop a comprehensive scorecard for evaluating national o
Accumulation of acetate is a limiting factor in recombinant production of (R)-3-hydroxybutyrate (3HB) by Escherichia coli in high-cell-density processes. To alleviate this limitation, this study investigated two approaches: (i) deletion of phosphotransacetylase (pta), pyruvate oxidase (poxB), and/or the isocitrate lyase regulator (iclR), known to decrease acetate formation, on bioreactor cultivati
Chronic obstructive pulmonary disease (COPD) and asthma are heterogeneous respiratory diseases with overlapping symptoms but distinct underlying biology. As both diseases involve dysregulated inflammatory signalling, identifying disease- and compartment-specific pathways and biomarkers could improve diagnosis and treatment. A disintegrin and metalloproteinase 17 (ADAM17) is a key sheddase that inf
Introduction: Oesophageal resection carries significant morbidity and mortality. Artificial intelligence (AI) advances in medical research enable enhanced predictions, flexibility, and interpretability, especially for complex interactions and nonlinear relationships. Material and methods: We used a register-based case-control design nested within prospectively collected data from the Swedish Natio
Covid-19 has triggered a massive global challenge with 1,576,069 overall confirmed cases, 1,545,429 recovered cases, and 30,640 deaths across Pakistan. Epidemiological models have always played an important role in understanding the dynamics of such infectious diseases. The severity of Covid-19 infection depends on several factors such as immune system and virus variants. Although detailed epidemi
Failure mode and effects analysis (FMEA) is a critical but labor-intensive process in product development that aims to identify and mitigate potential failure modes to ensure product quality and reliability. In this paper, a novel framework to improve the FMEA process by integrating generative artificial intelligence (AI), in particular large language models (LLMs), is presented. By using these ad
Background: Recurrent coarctation of the aorta (re-CoA) is a well-known although not fully understood complication after surgical repair, typically occurring in 10%–20% of cases within months after discharge. Objectives: To (1) characterize geometry of the aortic arch and blood flow from pre-discharge magnetic resonance imaging (MRI) in neonates after CoA repair; and (2) compare these measures bet
One of the main challenges as the market for fully commercial electrified vehicles quickly expands is predicting the electromagnetic interference (EMI) in traction voltage systems (TVSs) in differential mode (DM) and common mode (CM). The number of subsystems connected to vehicle TVSs is increasing, and thus, so are the electromagnetic compatibility (EMC) requirements. These requirements should ma
AI cancer detection models require calibration to attain the desired balance between cancer detection rate (CDR) and false positive rate. In this study, we simulate the impact of six types of mismatches between the calibration population and the clinical target population, by creating purposefully non-representative datasets to calibrate AI for clinical settings. Mismatching the acquisition year b
In this paper we show that OpenAI’s Large Language Model (LLM) GPT perform remarkably well when used for title and abstract eligibility screening of scientific articles and within a (systematic) literature review workflow. We evaluated GPT on screening data from a systematic review study on electric vehicle charging infrastructure demand with almost 12,000 records using the same eligibility criter
Global policies, legislation, and eco-friendly initiatives have induced the steel industry to integrate sustainable development approaches. Sustainability requires all phases from raw material sourcing to transportation to waste and carbon footprint elimination—yielding positive effects. This research employs a two-step approach in sustainability. The first phase entails conducting a systematic li
The delay between the origin of animals in the Neoproterozoic and their Cambrian diversification remains perplexing. Animal diversification mirrors an expansion in marine shelf area under a greenhouse climate, though the extent to which these environmental conditions directly influenced physiology and early organismal ecology remains unclear. Here, we use a biogeochemical model to quantify oxygen
Background Suicide attempts are common in youth and have potentially lethal outcomes. Effective treatments targeting suicide attempts are scarce. Objective To assess the feasibility and preliminary efficacy of a family-based cognitive behavioural treatment relative to an active control for youth with suicidal behaviour. Methods 30 youths (93% female; mean (SD) age=14.6 (1.5) years) residing in Swe
Key questions for understanding hippocampal function in memory and navigation in humans are the type and source of visual information that reaches the human hippocampus. We measured bidirectional pairwise effective connectivity with functional magnetic resonance imaging between 360 cortical regions while 956 Human Connectome Project participants viewed scenes, faces, tools, or body parts. We devel
Despite the crucial role of various insulin analogs in achieving satisfactory glycemic control, a comprehensive understanding of their in-solution dynamic mechanisms still holds the potential to further optimize rapid insulin analogs, thus significantly improving the well-being of individuals with Type 1 Diabetes. Here, we employed hydrogen-deuterium exchange mass spectrometry to decipher the mole
BDR Minutes 2019-05-15 Page 1 of 4 BDR MINUTES Department of Biology Date 2019-05-15 Minutes Biologiska doktorandrådet (BDR) Present Raphael Gollnisch (Aquatic Ecology), Katja Kozjek (Biodiversity), Micaela Mafla Endara (MEMEG, CEC) § 1 Start of the meeting 15:10 § 2 Choosing secretary and minutes approving person Chair of meeting: Katja Kozjek, secretary: Katja Kozjek, minutes approving: Raphael
https://www.biologi.lu.se/internt/sites/biologi.lu.se.internt/files/2020-12/bdrminutes20190515.pdf - 2026-07-15
1 Predictors of the Initiation of Islet Autoimmunity, Progression to Multiple Autoantibodies and Clinical Diabetes: The TEDDY Study Running Title: Seroconversion, Multiple Autoantibodies and Type 1 Diabetes Jeffrey P. Krischer1 jeffrey.krischer@epi.usf.edu, Xiang Liu1 Xiang.Liu@epi.usf.edu, Åke Lernmark2 Ake.Lernmark@med.lu.se, William A. Hagopian3 wah@uw.edu, Marian J. Rewers4 marian.rewers@cuans
https://www.teddy.lu.se/sites/teddy.lu.se/files/2023-03/145%20Krischer_Diab%20Care_2022_ACCEPTED%20VERSION.pdf - 2026-07-15
