bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modelling systematic anatomical uncertainties of head and neck cancer patients during fractionated radiotherapy treatment
Authors: Nikou Poppy , Thompson Anna , Nisbet Andrew , Gulliford Sarah , McClelland Jamie 
Published: July 2024

Abstract

Objective. Head and neck cancer patients experience systematic as well as random day to day anatomical changes during fractionated radiotherapy treatment. Modelling the expected systematic anatomical changes could aid in creating treatment plans which are more robust against such changes. Approach. Inter- patient correspondence aligned all patients to a model space. Intra- patient correspondence between each planning CT scan and on treatment cone beam CT scans was obtained using diffeomorphic deformable image registration. The stationary velocity fields were then used to develop B-Spline based patient specific (SM) and population average (AM) models. The models were evaluated geometrically and dosimetrically. A leave-one-out method was used to compare the training and testing accuracy of the models. Main results. Both SMs and AMs were able to capture systematic changes. The average surface distance between the registration propagated contours and the contours generated by the SM was less than 2 mm, showing that the SM are able to capture the anatomical changes which a patient experiences during the course of radiotherapy. The testing accuracy was lower than the training accuracy of the SM, suggesting that the model overfits to the limited data available and therefore, also captures some of the random day to day changes. For most patients the AMs were a better estimate of the anatomical changes than assuming there were no changes, but the AMs could not capture the variability in the anatomical changes seen in all patients. No difference was seen in the training and testing accuracy of the AMs. These observations were highlighted in both the geometric and dosimetric evaluations and comparisons. Significance. In this work, a SM and AM are presented which are able to capture the systematic anatomical changes of some head and neck cancer patients over the course of radiotherapy treatment. The AM is able to capture the overall trend of the population, but there is large patient variability which highlights the need for more complex, capable population models.
Quantum optimization algorithm based on multistep quantum computation
Authors: Wang Hefeng , Xiang Hua 
Published: July 2024

Abstract
We present a quantum algorithm for finding the minimum of a function based on multistep quantum computation, and apply the algorithm for solving optimization problems with continuous variables. We construct the state space of the problem by discretizing the variables of the problem, and divide the state space according to the function values of the vectors of the state space. By comparing the function values of the vectors with a series of threshold values in decreasing order, we construct a sequence of Hamiltonians where the search space of a Hamiltonian is nested in that of the previous one. By applying a multistep quantum computation process for finding the ground state of the last Hamiltonian, the optimal vector of the state space of the problem is located in a small search space and can be determined efficiently. One of the most difficult problems in optimization algorithms is that a trial vector is trapped in a deep local minimum while the global minimum is missed, this problem can be alleviated in our algorithm and the run time is proportional to the number of the steps of the algorithm, provided that the reduction rate of the search spaces is polynomial large. We discuss the implementation of the algorithm and test the algorithm for some test functions.
Grain boundaries are not the source of Urbach tails in Cu(In,Ga)Se2 absorbers
Authors: Gharabeiki Sevan , Farooq Muhammad Uzair , Wang Taowen , Sood Mohit , Melchiorre Michele , Kaufmann Christian A , Redinger Alex , Siebentritt Susanne 
Published: July 2024

Abstract
The presence of Urbach tails in Cu(In,Ga)Se2 (CIGSe) absorbers has been identified as a limiting factor for the performance of the CIGSe solar cells. The tail states contribute to both radiative and non-radiative recombination processes, ultimately leading to a reduction in the open-circuit voltage and, consequently, decreasing the overall efficiency of CIGSe devices. Urbach tails result from structural and thermal disorders. The Urbach tails can be characterized by the Urbach energy, which is associated with the magnitude of the tail states. Within polycrystalline CIGSe absorbers, grain boundaries can be considered as structural disorder and, therefore, can potentially contribute to the Urbach tails. In fact, it has been proposed that the band bending at grain boundaries contribute significantly to the tail states. This study focuses on examining the correlation between Urbach tails and the band bending at the grain boundaries. The Urbach energies of the CIGSe samples are extracted from photoluminescence (PL) measurements, which reveal that the introduction of Sodium (Na) into the material can lead to a reduction in the Urbach energy, and an even further decrease can be achieved through the RbF post-deposition treatment. The band bending at the grain boundaries is investigated by Kelvin probe force microscopy measurements. A thorough statistical analysis of more than 340 grain boundaries does not show any correlation between Urbach tails and grain boundaries. We measure small band bending values at the grain boundaries, in the range of the thermal energy (26 meV at room temperature). Furthermore, our intensity dependent PL measurements indicate that Urbach tails are, at least in part, a result of electrostatic potential fluctuations. This supports the model that the introduction of alkali elements mainly decreases the magnitude of electrostatic potential fluctuations, resulting in a subsequent reduction in the Urbach energy.
The Bismut-Zhang embedding formula of APS reduced eta invariants: A simple and intrinsic geometrical proof
Authors: Elmrabty Adnane 
Published: July 2024

We present a simple intrinsic geometrical proof of the Bismut-Zhang embedding formula of Atiyah-Patodi-Singer reduced eta invariants [Math. Ann. 295 (1993), pp. 661–684] by making use of geometric K-homology.
Introduction: The Psychology of Resistance in Violent and Repressive Contexts
Authors: Vollhardt Johanna Ray , Bou Zeineddine Fouad 
Published: July 2024

Abstract
In this chapter, we introduce the reader to the concepts discussed in the volume and provide a summary of the volume’s contributions. First, we offer definitions of resistance, violence, and repression to frame the scope of the volume. We discuss the book’s thematic structure and our rationale for this organization. We highlight the importance of the political, historical, and social contexts of resistance, as well as the heterogeneity and complexity of the psychological paths to participation in and strategies of resistance. We discuss the novel and unique aspects of each chapter, showing how they advance, extend, or challenge existing social psychological theories of resistance and broaden the scope of what is typically studied in the field. Finally, we discuss how we have designed the volume to make each chapter as accessible and practical as possible.
Jewish Resistance During the Holocaust: Influences on the Choice Between Individual and Collective Resistance Strategies
Authors: Vollhardt Johanna Ray , Bilewicz Michał 
Published: July 2024

Abstract
Resistance strategies in severely repressive, violent contexts such as genocide are multifaceted, and it is important to understand what distinguishes people who choose collective resistance (e.g., uprisings, partisan groups) or individual resistance strategies (e.g., escaping, hiding). This chapter discusses a content analysis of survivor testimonies from the Shoah Foundation Visual History Archive that examined this question, based on a matched comparison of 170 Holocaust survivors involved in collective or individual resistance. Our findings suggest the importance of social and contextual influences and experiences before and during the genocide—for instance, political family socialization and prior political participation and ideology, resistance role models, the type of imprisonment, direct exposure to mass killings and traumatic family losses, and family responsibilities. Overall, we suggest broadening the scope of resistance in research on severely repressive and violent contexts, and going beyond psychological processes to analyze specific circumstances that shape how people resist.
Comparison of 3 methods characterizing H2S exposure in water and wastewater management work
Authors: Austigard Åse Dalseth , Smedbold Hans Thore , von Hirsch Svendsen Kristin 
Published: July 2024

Abstract
This study evaluates the effectiveness of self-assessed exposure (SAE) data collection for characterization of hydrogen sulfide (H2S) risks in water and wastewater management, challenging the adequacy of traditional random or campaign sampling strategies. We compared 3 datasets derived from distinct strategies: expert data with activity metadata (A), SAE without metadata (B), and SAE with logbook metadata (C). The findings reveal that standard practices of random sampling (dataset A) fail to capture the sporadic nature of H2S exposure. Instead, SAE methods enhanced by logbook metadata and supported by reliable detection and calibration infrastructure (datasets B and C) are more effective. When assessing risk, particularly peak exposure risks, it is crucial to adopt measures that capture exposure variability, such as the range and standard deviations. This finer assessment is vital where high H2S peaks occur in confined spaces. Risk assessment should incorporate indices that account for peak exposure, utilizing variability measures like range and standard or geometric standard deviation to reflect the actual risk more accurately. For large datasets, a histogram is just as useful as statistical measures. This approach has revealed that not only wastewater workers but also water distribution network workers, can face unexpectedly high H2S levels when accessing confined underground spaces. Our research underscores the need for continuous monitoring with personal electrochemical gas detector alarm systems, particularly in environments with variable and potentially hazardous exposure levels.
The use of droplet-based microfluidic technologies for accelerated selection of Yarrowia lipolytica and Phaffia rhodozyma yeast mutants
Authors: Mika Taras , Kalnins Martins , Spalvins Kriss 
Published: July 2024

Abstract
Microorganisms are widely used for the industrial production of various valuable products, such as pharmaceuticals, food and beverages, biofuels, enzymes, amino acids, vaccines, etc. Research is constantly carried out to improve their properties, mainly to increase their productivity and efficiency and reduce the cost of the processes. The selection of microorganisms with improved qualities takes a lot of time and resources (both human and material); therefore, this process itself needs optimization. In the last two decades, microfluidics technology appeared in bioengineering, which allows for manipulating small particles (from tens of microns to nanometre scale) in the flow of liquid in microchannels. The technology is based on small-volume objects (microdroplets from nano to femtolitres), which are manipulated using a microchip. The chip is made of an optically transparent inert to liquid medium material and contains a series of channels of small size (&lt;1 mm) of certain geometry. Based on the physical and chemical properties of microparticles (like size, weight, optical density, dielectric constant, etc.), they are separated using microsensors. The idea of accelerated selection of microorganisms is the application of microfluidic technologies to separate mutants with improved qualities after mutagenesis. This article discusses the possible application and practical implementation of microfluidic separation of mutants, including yeasts like Yarrowia lipolytica and Phaffia rhodozyma after chemical mutagenesis will be discussed.
Spatial selectivity of ATase inhibition in mouse models of Charcot–Marie–Tooth disease
Authors: Fernandez-Fuente Gonzalo , Farrugia Mark A , Peng Yajing , Schneider Andrew , Svaren John , Puglielli Luigi 
Published: July 2024

Abstract
The endoplasmic reticulum acetylation machinery has emerged as a new branch of the larger endoplasmic reticulum quality control system. It regulates the selection of correctly folded polypeptides as well as reticulophagy-mediated removal of toxic protein aggregates with the former being a particularly important aspect of the proteostatic functions of endoplasmic reticulum acetylation. Essential to this function is the Nε-lysine acetyltransferase activity of acetyltransferase 1 and acetyltransferase 2, which regulates the induction of endoplasmic reticulum–specific autophagy through the acetylation of the autophagy-related protein 9A. Here, we used three mouse models of Charcot–Marie–Tooth disease, peripheral myelin protein 22/Tr-J, C3-peripheral myelin protein 22 and myelin protein zero/ttrr, to study spatial and translational selectivity of endoplasmic reticulum acetyltransferase inhibitors. The results show that inhibition of the endoplasmic reticulum acetyltransferases selectively targets misfolding/pro-aggregating events occurring in the lumen of the organelle. Therefore, they establish acetyltransferase 1 and acetyltransferase 2 as the first proven targets for disease-causing proteotoxic states that initiate within the lumen of the endoplasmic reticulum/secretory pathway.
Viability and integrity of Pinus densiflora seeds stored for 20 years at three different temperatures
Authors: Gu Da-Eun , Han Sim-Hee , Kang Kyu-Suk 
Published: July 2024

Abstract
Storage temperature is one of the most important factors determining seed longevity in the genebank. This study aimed to investigate the effect of storage temperature on the seed viability and physiological integrity after a 20-year storage period of Pinus densiflora, a tree species of ecological and economic significance in South Korea. To this end, seeds were collected and stored dry for 20 years at −18°C, 4°C and 25°C. Germination tests were conducted to assess seed viability and vigour, electrolyte leakage analysis was performed to assess cell membrane integrity, and carbohydrate analysis was conducted to assess metabolic integrity during germination. The results revealed that over 20 years, seeds stored at −18°C maintained a high germination percentage (GP; 89%), comparable to initial GP (91%), whilst those stored at 4°C exhibited a decline in GP (44%) along with a decrease in vigour. Seeds stored at 25°C lost their viability entirely. Electrical conductivity of the leachate and leakage of inorganic compounds and soluble sugars were higher with elevated storage temperature, indicating increased imbibition damage. Additionally, changes in carbohydrate content during germination revealed that the loss of viability according to storage temperature is associated with reduced storage reserve utilization and altered carbohydrate metabolism during germination. These results enhance our understanding of the effect of seed storage temperature on longevity and physiological changes of aging in the genebank, serving as a reference for establishing conservation strategies for Pinus densiflora.
Distributional and climate implications of policy responses to energy price shocks
Authors: Fetzer Thiemo , Gazze Ludovica , Bishop Menna 
Published: July 2024

SUMMARY
Which households are most affected by energy price shocks? How do interventions in energy markets affect these patterns? To investigate these questions, this paper introduces a measurement framework that leverages granular property-level data representing more than 50% of the English and Welsh housing stock. This framework will form the basis for current and future studies on the heterogeneous effects of the energy crisis more broadly. We find that the energy price shock has a more pronounced effect on relatively more affluent areas where energy use is higher at baseline. We document that commonly used untargeted interventions in energy markets significantly weaken market price signals for able-to-pay households. Alternative, more targeted policies are cheaper, easily implementable, and could better align energy-saving incentives.
Benefits of upgrading right ventricular to biventricular pacing in heart failure patients with atrial fibrillation
Authors: Merkely Béla , Hatala Robert , Merkel Eperke , Szigeti Mátyás , Veres Boglárka , Fábián Alexandra , Osztheimer István , Gellér László , Sasov Michal , Wranicz Jerzy K , Földesi Csaba , Duray Gábor , Solomon Scott D , Kutyifa Valentina , Kovács Attila , Kosztin Annamária 
Published: July 2024

Abstract

Aims
Recommendations on cardiac resynchronization therapy (CRT) in patients with atrial fibrillation or flutter (AF) are based on less robust evidence than those in sinus rhythm (SR). We aimed to assess the efficacy of CRT upgrade in the BUDAPEST-CRT Upgrade trial population by their baseline rhythm.

Methods and results
Heart failure patients with reduced ejection fraction (HFrEF) and previously implanted pacemaker (PM) or implantable cardioverter defibrillator (ICD) and ≥20% right ventricular (RV) pacing burden were randomized to CRT with defibrillator (CRT-D) upgrade (n = 215) or ICD (n = 145). Primary [HF hospitalization (HFH), all-cause mortality, or &lt;15% reduction of left ventricular end-systolic volume] and secondary outcomes were investigated. At enrolment, 131 (36%) patients had AF, who had an increased risk for HFH as compared with those with SR [adjusted hazard ratio (aHR) 2.99; 95% confidence interval (CI) 1.26–7.13; P = 0.013]. The effect of CRT-D upgrade was similar in patients with AF as in those with SR [AF adjusted odds ratio (aOR) 0.06; 95% CI 0.02–0.17; P &lt; 0.001; SR aOR 0.13; 95% CI 0.07–0.27; P &lt; 0.001; interaction P = 0.29] during the mean follow-up time of 12.4 months. Also, it decreased the risk of HFH or all-cause mortality (aHR 0.33; 95% CI 0.16–0.70; P = 0.003; interaction P = 0.17) and improved the echocardiographic response (left ventricular end-diastolic volume difference −49.21 mL; 95% CI −69.10 to −29.32; P &lt; 0.001; interaction P = 0.21).

Conclusion
In HFrEF patients with AF and PM/ICD with high RV pacing burden, CRT-D upgrade decreased the risk of HFH and improved reverse remodelling when compared with ICD, similar to that seen in patients in SR.
Colorectal cancer and inulin supplementation: the good, the bad, and the unhelpful
Authors: Oliero Manon , Alaoui Ahmed Amine , McCartney Claire , Santos Manuela M 
Published: July 2024

Abstract
The prebiotic inulin has been vaunted for its potential to reduce the risk of colorectal cancer. Inulin fermentation resulting in the production of short-chain fatty acids, primarily butyrate, has been reported to be associated with properties that are beneficial for gut health and has led to an increased consumption of inulin in the Western population through processed food and over-the-counter dietary supplements. However, in clinical trials, there is limited evidence of the efficacy of inulin in preventing colorectal cancer. Moreover, recent data suggest that improper inulin consumption may even be harmful for gastro-intestinal health under certain circumstances. The main objective of this review is to provide insight into the beneficial and potentially detrimental effects of inulin supplementation in the context of colorectal cancer prevention and enhancement of treatment efficacy.
From PERFORM to PERFORM2Scale: lessons from scaling-up a health management strengthening intervention to support Universal Health Coverage in three African countries
Authors: Raven Joanna , Mansour Wesam , Aikins Moses , Bulthuis Susan , Chikaphupha Kingsley , Dieleman Marjolein , Kok Maryse , Martineau Tim , Ssengooba Freddie , Wyss Kaspar , Vallières Frédérique 
Published: July 2024

Abstract
Strengthening management and leadership competencies among district and local health managers has emerged as a common approach for health systems strengthening and to achieve Universal Health Coverage (UHC). While the literature is rich with localized examples of initiatives that aim to strengthen the capacity of district or local health managers, particularly in sub-Saharan Africa, considerably less attention is paid to the science of ‘how’ to scale-up these initiatives. The aim of this paper is thus to examine the ‘process’ of scaling-up a management strengthening intervention (MSI) and identify new knowledge and key lessons learned that can be used to inform the scale-up process of other complex health interventions, in support of UHC. Qualitative methods were used to identify lessons learned from scaling-up the MSI in Ghana, Malawi and Uganda. We conducted 14 interviews with district health management team (DHMT) members, three scale-up assessments with 20 scale-up stakeholders, and three reflection discussions with 11 research team members. We also kept records of activities throughout MSI and scale-up implementation. Data were recorded, transcribed and analysed against the Theory of Change to identify both scale-up outcomes and the factors affecting these outcomes. The MSI was ultimately scaled-up across 27 districts. Repeated MSI cycles over time were found to foster greater feelings of autonomy among DHMTs to address longstanding local problems, a more innovative use of existing resources without relying on additional funding and improved teamwork. The use of ‘resource teams’ and the emergence of MSI ‘champions’ were instrumental in supporting scale-up efforts. Challenges to the sustainability of the MSI include limited government buy-in and lack of sustained financial investment.
Who is seeking information about traumatic brain injury? Characterizing online course participants
Authors: Fair Hannah , Doust Yasmine V , Bye Nicole , Vickers James C , Padgett Christine , Ziebell Jenna M 
Published: July 2024

Abstract
Accessible, up-to-date information on traumatic brain injury (TBI) can be challenging to find and is needed to address TBI knowledge gaps and improve outcomes for people who experience a TBI. The Understanding TBI Massive Open Online Course (TBI MOOC) was developed to increase TBI knowledge across a diverse global audience. We sought to characterize the TBI MOOC participant cohort, to understand the reach of the course among this target audience. Examining the characteristics of TBI MOOC enrollees showed that participants came from a wide range of demographic backgrounds, had a variety of TBI experiences and had multiple reasons for enrolling in the MOOC. The majority of course participants shared some characteristics with other groups of health information seekers. Four distinct demographic profiles were identified among TBI MOOC participants (education seekers, TBI-aware participants, TBI care providers and retirees) using a novel approach combining chi-squared tests and network modularity. Participants assigned to the TBI-aware and retiree profiles were most likely to complete all modules of the MOOC, and the TBI-aware profile was more highly represented in more recent iterations of the MOOC. Together, these data indicate that the TBI MOOC provided information to a wide range of people, and particularly engaged participants with personal or family experience of TBI. However, engagement with this course was minimal among some hard-to-reach populations, including men and people with low levels of education, indicating that additional strategies are needed to ensure equity in health promotion.