bluuebunny/crossref_metadata_2025 huggingface dataset:
Vestibular function and hearing preservation in children following a minimally invasive cochlear implantation
Authors: Wang Ruijie , Xu Kaifan , Luo Jianfen , Chao Xiuhua , Hu Fangxia , Zhang Daogong , Chen Yueling , Li Yuanling , Fan Zhaomin , Wang Haibo , Xu Lei
Published: February 2024

Purpose

This retrospective cohort study aimed to investigate the effect of minimally invasive cochlear implantation (CI) on the vestibular function (VF) and residual hearing (RH) as well as their relationship in pediatric recipients before and after surgery.

Methods

Twenty-four pediatric patients with preoperative low frequency residual hearing (LFRH) (250 or 500 Hz ≤ 80 dB HL) who underwent minimally invasive CI were enrolled. Pure-tone thresholds, the cervical/ocular vestibular-evoked myogenic potential (cVEMP/oVEMP), and video head impulse test (vHIT) were all evaluated in the 24 pediatric patients with preoperative normal VF before and at 1 and 12 months after surgery. The relationship between changes in hearing and VF was analyzed preoperatively and at 1 and 12 months postoperatively.

Results

There were no significant differences on VF preservation and hearing preservation (HP) at both 1 and 12 months post-CI (p > 0.05). At 1 month post-CI, the correlations of the variations in vestibulo-ocular reflex (VOR) gains of horizontal semicircular canal (HSC) and posterior semicircular canal (PSC) and the shift in 250 Hz threshold were negatively correlated (r = − 0.41, p = 0.04 and r = − 0.43, p = 0.04, respectively). At 12 months post-CI, the shift in 250 Hz threshold negatively correlated to the variations in VOR gain of superior semicircular canal (SSC) (r = − 0.43, p = 0.04); the HP positively correlated to the variation in oVEMP-amplitude ratio (AR) (r = 0.41, p = 0.04).

Conclusion

Our study confirmed that there were partial correlations between VF preservation and HP both in the short- and long-terms after atraumatic CI surgery, especially with the 250 Hz threshold. Regarding the variation of PSC function, the correlation with hearing status was variable with time after atraumatic CI surgery. Minimally invasive techniques for HP are successful and effective for the preservation of VF in pediatric patients both in the short- and long-terms.
Calcium imaging of adult olfactory epithelium reveals amines as important odor class in fish
Authors: Dieris M. , Kowatschew D. , Hassenklöver T. , Manzini I. , Korsching S. I.
Published: February 2024

The odor space of aquatic organisms is by necessity quite different from that of air-breathing animals. The recognized odor classes in teleost fish include amino acids, bile acids, reproductive hormones, nucleotides, and a limited number of polyamines. Conversely, a significant portion of the fish olfactory receptor repertoire is composed of trace amine-associated receptors, generally assumed to be responsible for detecting amines. Zebrafish possess over one hundred of these receptors, but the responses of olfactory sensory neurons to amines have not been known so far. Here we examined odor responses of zebrafish olfactory epithelial explants at the cellular level, employing calcium imaging. We report that amines elicit strong responses in olfactory sensory neurons, with a time course characteristically different from that of ATP-responsive (basal) cells. A quantitative analysis of the laminar height distribution shows amine-responsive cells undistinguishable from ciliated neurons positive for olfactory marker protein. This distribution is significantly different from those measured for microvillous neurons positive for transient receptor potential channel 2 and basal cells positive for proliferating cell nuclear antigen. Our results suggest amines as an important odor class for teleost fish.
The Time Complexity of Consensus Under Oblivious Message Adversaries
Authors: Winkler Kyrill , Paz Ami , Galeana Hugo Rincon , Schmid Stefan , Schmid Ulrich
Published: February 2024

We study the problem of solving consensus in synchronous directed dynamic networks, in which communication is controlled by an oblivious message adversary that picks the communication graph to be used in a round from a fixed set of graphs $$\textbf{D}$$
D
arbitrarily. In this fundamental model, determining consensus solvability and designing efficient consensus algorithms is surprisingly difficult. Enabled by a decision procedure that is derived from a well-established previous consensus solvability characterization for a given set $$\textbf{D}$$
D
, we study, for the first time, the time complexity of solving consensus in this model: We provide both upper and lower bounds for this time complexity, and also relate it to the number of iterations required by the decision procedure. Among other results, we find that reaching consensus under an oblivious message adversary can take exponentially longer than both deciding consensus solvability and broadcasting the input value of some unknown process to all other processes.
Hemodiafiltration for children with stage 5 chronic kidney disease: technical aspects and outcomes
Authors: Ahlmann Charlotte , Stronach Lynsey , Waters Kathryn , Walker Kate , Oh Jun , Schmitt Claus Peter , Ranchin Bruno , Shroff Rukshana
Published: February 2024

Despite significant medical and technical improvements in the field of dialysis, the morbidity and mortality among patients with chronic kidney disease (CKD) stage 5 on dialysis remains extremely high. Hemodiafiltration (HDF), a dialysis method that combines the two main principles of hemodialysis (HD) and hemofiltration—diffusion and convection—has had a positive impact on survival when delivered with a high convective dose. Improved outcomes with HDF have been attributed to the following factors: HDF removes middle molecular weight uremic toxins including inflammatory cytokines, increases hemodynamic stability, and reduces inflammation and oxidative stress compared to conventional HD. Two randomized trials in adults have shown improved survival with HDF compared to high-flux HD. A large prospective cohort study in children has shown that HDF attenuated the progression of cardiovascular disease, improved bone turnover and growth, reduced inflammation, and improved blood pressure control compared to conventional HD. Importantly, children on HDF reported fewer headaches, dizziness, and cramps; had increased physical activity; and improved school attendance compared to those on HD. In this educational review, we discuss the technical aspects of HDF and results from pediatric studies, comparing outcomes on HDF vs. conventional HD. Convective volume, the cornerstone of treatment with HDF and a key determinant of outcomes in adult randomized trials, is discussed in detail, including the practical aspects of achieving an optimal convective volume.
Risk factors for prolonged length of stay after first single-level lumbar microdiscectomy
Authors: Ritter Leonard , Liebert Adrian , Eibl Thomas , Schmid Barbara , Steiner Hans-Herbert , Kerry Ghassan
Published: February 2024

Objective

The objective is to identify risk factors that potentially prolong the hospital stay in patients after undergoing first single-level open lumbar microdiscectomy.

Methods

A retrospective single-centre study was conducted. Demographic data, medical records, intraoperative course, and imaging studies were analysed. The outcome measure was defined by the number of days stayed after the operation. A prolonged length of stay (LOS) stay was defined as a minimum of one additional day beyond the median hospital stay in our patient collective. Bivariate analysis and multiple stepwise regression were used to identify independent factors related to the prolonged hospital stay.

Results

Two hundred consecutive patients who underwent first lumbar microdiscectomy between 2018 and 2022 at our clinic were included in this study. Statistical analysis of factors potentially prolonging postoperative hospital stay was done for a total of 24 factors, seven of them were significantly related to prolonged LOS in bivariate analysis. Sex (p = 0.002, median 5 vs. 4 days for females vs. males) and age (r

s
 = 0.35, p ≤ 0.001, N = 200) were identified among the examined demographic factors. Regarding preoperative physical status, preoperative immobility reached statistical significance (p ≤ 0.001, median 5 vs. 4 days). Diabetes mellitus (p = 0.043, median 5 vs. 4 days), anticoagulation and/or antiplatelet agents (p = 0.045, median 5 vs. 4 days), and postoperative narcotic consumption (p ≤ 0.001, median 5 vs. 4 days) as comorbidities were associated with a prolonged hospital stay. Performance of nucleotomy (p = 0.023, median 5 vs. 4 days) was a significant intraoperative factor. After linear stepwise multivariable regression, only preoperative immobility (p ≤ 0.001) was identified as independent risk factors for prolonged length of postoperative hospital stay.

Conclusion

Our study identified preoperative immobility as a significant predictor of prolonged hospital stay, highlighting its value in preoperative assessments and as a tool to pinpoint at-risk patients. Prospective clinical trials with detailed assessment of mobility, including grading, need to be done to verify our results.
A learning-based framework for spatial join processing: estimation, optimization and tuning
Authors: Vu Tin , Belussi Alberto , Migliorini Sara , Eldawy Ahmed
Published: February 2024

The importance and complexity of spatial join operation resulted in the availability of many join algorithms, some of which are tailored for big-data platforms like Hadoop and Spark. The choice among them is not trivial and depends on different factors. This paper proposes the first machine-learning-based framework for spatial join query optimization which can accommodate both the characteristics of spatial datasets and the complexity of the different algorithms. The main challenge is how to develop portable cost models that once trained can be applied to any pair of input datasets, because they are able to extract the important input characteristics, such as data distribution and spatial partitioning, the logic of spatial join algorithms, and the relationship between the two input datasets. The proposed system defines a set of features that can be computed efficiently for the data to catch the intricate aspects of spatial join. Then, it uses these features to train five machine learning models that are used to identify the best spatial join algorithm. The first two are regression models that estimate two important measures of the spatial join performance and they act as the cost model. The third model chooses the best partitioning strategy to use with spatial join. The fourth and fifth models further tune two important parameters, number of partitions and plane-sweep direction, to get the best performance. Experiments on large-scale synthetic and real data show the efficiency of the proposed models over baseline methods.
A collaborative AR application for education: from architecture design to user evaluation
Authors: Masneri Stefano , Domínguez Ana , Pacho Guillermo , Zorrilla Mikel , Larrañaga Mikel , Arruarte Ana
Published: February 2024

Augmented reality applications can be used in an educational context to facilitate learning. In particular, augmented reality has been successfully used as a tool to boost students’ engagement and to improve their understanding of complex topics. Despite this, augmented reality usage is still not common in schools and it still offers mostly individual experiences, lacking collaboration capabilities which are of paramount importance in a learning environment. This work presents an application calledARoundTheWorld, a multiplatform augmented reality application for education. It is based on a software architecture, designed with the help of secondary school teachers, that provides interoperability, multi-user support, integration with learning management systems and data analytics capabilities, thus simplifying the development of collaborative augmented reality learning experiences. The application has been tested by 44 students and 3 teachers from 3 different educational institutions to evaluate the usability as well as the impact of collaboration functionalities in the students’ engagement. Qualitative and quantitative results show that the application fulfils all the design objectives identified by teachers as key elements for augmented reality educational applications. Furthermore, the application was positively evaluated by the students and it succeeded in promoting collaborative behaviour. These results show thatARoundTheWorld, and other applications built using the same architecture, could be easily developed and successfully integrated into existing schools curricula.
Special Challenges of Sensitive Images: A HIMSS-SIIM Enterprise Imaging Community Whitepaper
Authors: Towbin Alexander J. , Ding Delaney D. , Eid Moneif , Kimball Heather , Komissarchik Julia , Memarian John , Chadalavada Seetharam C.
Published: February 2024

Sensitive images represent a new challenge in enterprise imaging. These images, often containing nudity or gruesome content, have the potential to cause emotional harm to patients and people who view the images. Unfortunately, the interoperability standards used in imaging informatics have not yet addressed this issue. Because of this, the software solutions used in healthcare information technology are not able to offer patients and other viewers of image protections. In this Health Information Management Systems Society (HIMSS)/Society for Imaging Informatics in Medicine (SIIM) Enterprise Imaging Community Whitepaper, we define sensitive images, identify unique challenges related to their management, and provide recommendations for future solutions to protect our patients.
Computational Analysis of the Effects of Fiber Deformation on the Microstructure and Permeability of Blood Oxygenator Bundles
Authors: Poletti Gianluca , Ninarello Davide , Pennati Giancarlo
Published: February 2024

Mechanical loads on the polymeric fibers of oxygenating bundles are commonly present due to bundle press-fitting during device assembly and blood pressure load. However, computational fluid dynamics (CFD) simulations for fiber bundle optimization neglect possible changes in microstructure due to such deformations. The aim of this study is to investigate the impact of fiber deformability on bundle microstructure and fluid dynamics mainly in terms of permeability. Fibers from commercial mats typically used for blood oxygenators were mechanically tested and based on these experimental data, a material model was developed to simulate the structural deformations the fibers undergo under press-fitting and blood pressure loads. Then, CFD simulations were performed on deformed bundle repetitive units to investigate permeability under varying loading conditions. The effects of different bundle geometric parameters on the variation of bundle permeability due to press-fitting were evaluated. Bundle press-fitting results in significant changes in microstructure that are reflected in a bundle permeability more than halved for a 15% press-fitting. This impact on permeability is present in all the simulated fiber bundles and becomes more pronounced as the pitch between fibers and thus bundle porosity decreases. Instead, the analyses on pressurized bundle show only small deformations caused by pressure load, with permeability changes below 1%. While blood pressure effects could be neglected, bundle press-fitting turns out to have a significant impact on bundle microstructure and permeability. Neglecting such microstructure variations during CFD simulations could also lead to incorrect assessment of the local fluid dynamics within the bundle.
“It’s Business”: A Qualitative Study of Moral Injury in Business Settings; Experiences, Outcomes and Protecting and Exacerbating Factors
Authors: Nielsen Karina , Agate Claire , Yarker Joanna , Lewis Rachel
Published: February 2024

Moral injury has primarily been studied from a clinical perspective to assess, diagnose and treat the outcomes of morally injurious experiences in healthcare and military settings. Little is known about the lived experiences of those who have had their moral values transgressed in business settings. Public scandals such as Enron suggest that moral injury may also occur in for-profit business settings. In this qualitative study, we examine the lived experiences of 16 employees in for-profit business organisations who identified as having suffered moral injury. Using semi-structured narrative interviews, our findings offer insights into the values that employees feel are transgressed and the pathways between morally injurious experiences and the long-term outcomes. Based on our findings, we propose a conceptual pathway to moral injury, which suggests that experiencing moral transgressions has a profound impact on employees as they feel a threat to their “good-me” identity, however, employees employ various coping strategies to minimise the impact during the event. Employees exited the organisation and often changed career paths to protect themselves from further injury and to make up for moral failure. This study advances our understanding of the experience of moral injury in business settings and the pathway explaining how and why people react differently to moral transgressions.
Effective population size of adult and offspring cohorts as a genetic monitoring tool in two stand-forming and wind-pollinated tree species: Fagus sylvatica L. and Picea abies (L.) Karst.
Authors: Liesebach Heike , Eusemann Pascal , Höltken Aki M. , Tröber Ute , Kuchma Oleksandra , Karopka Manuel , Becker Frank , Kätzel Ralf , Fussi Barbara
Published: February 2024

Genetic diversity is considered to be a prerequisite for adaptation and adaptability as it is a key element of biological diversity. However, the monitoring of genetic diversity has tended to be ignored in biodiversity monitoring. We report a comprehensive genetic monitoring effort in two dominant forest tree species, which was started with a baseline survey in 12 European beech populations and 10 Norway spruce populations in Germany. The standardized experimental design is based on collecting samples of at least 250 adult trees, and 400 natural regeneration and 400 seed samples and their genotyping with 15–16 high-resolution SSR markers. In addition to commonly used mean values across the markers to quantify genetic diversity, we placed special emphasis on various marker-based, pedigree-based and demographic models for estimating the contemporary effective population size Ne of the different generations. In both beech and spruce, no variation in genetic diversity with mean values across markers was detectable between the studied stands and between age cohorts. We detected that stable allelic diversity in progeny generations is ensured by sufficient gene flow from surrounding forests. However, estimates of effective population size show marked differentiation among populations and among age cohorts. Natural regeneration samples appear to converge on the parent generation, while seed samples show a clear bottleneck effect. The Ne parameter can be used to derive conclusions for sustainable natural regeneration management in forest stands and for seed stand approvals including adequate seed collections for appropriate artificial regenerations.The sibship frequency-based method for Ne estimates is presented as much more robust than the widely used LD estimates, which often fail for samples with too weak relatedness. Despite the distinct kinship structure in our monitoring plots, the contemporary effective population size proves to be an essential parameter for assessing the integrity of the reproductive system.
Investigating EFL teacher candidates’ acceptance and self-perceived self-efficacy of augmented reality
Authors: Okumuş Ayşegül , Savaş Perihan
Published: February 2024

The mixed-methods sequential explanatory design study presented here sought to investigate the acceptance and self-perceived self-efficacy of Augmented Reality technology among English as a Foreign Language teacher candidates. This study’s contribution to the field of AR as an instructional technology lies in that research on the using AR technology in language teacher education are particularly limited. To bridge this research gap, one-group pre-test-post-test design was used in this study, in which ten weeks of AR-enhanced English language teacher training treatment was carried out. To answer the research questions, quantitative data were gathered from 50 volunteers by using the Technology Acceptance Model survey and Self-Efficacy Scale. Qualitative data were received via semi-structured interviews carried out with 12 pre-service teachers. Findings revealed that there was a significant increase in EFL teacher candidates’ levels of AR technology acceptance whereas no significant difference was identified in their self-perceived self-efficacy. The interviewees proposed interpersonal, intrapersonal, technological, and technical factors to explain their low self-efficacy levels. Based on the findings, the paper offers implications and suggestions for researchers, teacher educators, and policymakers. The solutions to increase the level of acceptance and self-perceived self-efficacy levels to use AR among EFL Teacher Candidates include courses on Emergent Technologies (ICT, MALL, CALL, AR), training via seminars, workshops, input sessions through (inter)nationally funded projects, real-life examples, field-specific samples, and hands-on experiences.
Yield optimization of nonedible vegetable oil-based bio-lubricant using design of experiments
Authors: Uppar Rajendra , Dinesha P. , Kumar Shiva
Published: February 2024

In recent years, there has been a focused effort to reduce the harmful effects of synthetic and mineral-based lubricants by emphasizing the use of biodegradable-based lubricants. These lubricants play a crucial role in minimizing friction, ensuring smooth operation of machines, and reducing the likelihood of frequent failures. With petroleum-based reserves depleting worldwide, prices are rising, and environmental damage is increasing. However, biolubricants derived from nonedible vegetable oils offer environmental benefits as they are nontoxic, emit minimal greenhouse gases, and are biodegradable. In this study, biolubricants are synthesized from jatropha and jojoba oil using sulphuric acid (H2SO4) and hydrochloric acid (HCl) as catalysts through the transesterification and epoxidation processes. The optimization of influencing parameters is achieved using Taguchi’s orthogonal array, a statistical methodology. By employing design of experiments (DOE), the number of experimental trials is minimized while providing comprehensive details on the impact of control factors such as molar ratio, catalyst concentrations, and temperature. The results obtained from DOE reveal that the best optimized yield for jatropha biolubricant with H2SO4 and HCl catalysts is achieved with a molar ratio of 0.5:1.5, a temperature of 70 °C, and a catalyst concentration of 1.2 ml. The experimental yield for jatropha biolubricant with H2SO4 and HCl catalysts was measured at 226 ml and 238 ml, respectively, while the model predicted yield was 221 ml and 231 ml, respectively. The experimental yield for jojoba biolubricant with H2SO4 and HCl catalysts was recorded at 232 ml and 248 ml respectively, whereas the model predicted yield was 226 ml and 245 ml, respectively. Based on the analysis of variance (ANOVA) results, it is evident that among the three control factors, the molar ratio significantly influences the yield of both jatropha and jojoba biolubricants, as indicated by a p-value of less than 5%. The percentage contribution of the molar ratio in jatropha biolubricant with H2SO4 and HCl catalysts is found to be 98.99% and 97.2%, respectively. Furthermore, the R2 value, which exceeds 90%, signifies a strong relationship between the independent and dependent variables. The deviation between the experimental and regression-predicted equations for the yield remains within 2.5% for all combinations of jatropha and jojoba biolubricants. In conclusion, the study successfully prepared biolubricants from jatropha and jojoba-based non-edible vegetable oils and determined the optimal conditions for their production.

Graphical abstract
FOXM1 promote the growth and metastasis of uveal melanoma cells by regulating CDK2 expression
Authors: Bai Xue , Li Shan , Luo Yan
Published: February 2024

Background

Uveal melanoma (UVM) is an aggressive malignant tumor originating from melanocytes in the eye. Here, we screened the possible genes involved in the development and prognosis of UVM, and identified that FOXM1 and MET were associated with the prognosis of UVM patients. Forkhead box protein M1 (FOXM1) is a transcription factor that regulates the expression of cell cycle-related genes that are necessary for DNA duplication. However, the regulatory mechanism of FOXM1 in UVM was still not clear. Here, we investigated the regulation of FOXM1 in the malignant phenotype of UVM cells and its effect on the prognosis of UVM patients.

Methods

UVM gene expression profiles were obtained using GSE22138 data from the gene expression omnibus (GEO). Weighted gene co-expression network analysis (WGCNA) was used to construct a key module gene for metastasis, which was strongly correlated with UVM prognosis. The latent biological pathways were identified through gene ontology analysis. Protein–protein interaction (PPI) networks and hub shared gene authentication were performed. GEPIA and UALCAN databases were used for the analysis of relationship between candidate genes (FOXM1 or MET) and the prognosis of UVM patients. The abundance of FOXM1 was examined by quantitative real time polymerase chain reaction (qRT-PCR) and western blot. Colony formation and cell counting kit-8 (CCK-8) assays for cell proliferation, wound healing assay for migration, and transwell invasion analysis for invasion were performed.

Results

GEO database showed the differentially expressed genes between UVM samples with or without metastasis, and a key module gene for metastasis was constructed by WGCNA. The PPI network revealed that seven candidate genes (VEGFA, KRAS, MET, SRC, EZR, FOXM1, and CCNB1) were closely associated with UVM metastasis. GEPIA and UALCAN analyzes suggested that FOXM1 and MET are related to the prognosis of patients with UVM. These experimental results suggested that FOXM1 was highly expressed in UVM cells. FOXM1 deficiency represses the proliferative, migratory, and invasive abilities of UVM cells.

Conclusions

FOXM1 silencing may hinder UVM cell progression, providing a novel theoretical basis and new insights for UVM treatment.
How are the Dietary Needs of Pregnant Incarcerated Women Being Met? A Scoping Review and Thematic Analysis
Authors: Capper Tanya S. , Baldwin Adele , Abbott Laura , Briley Annette , Shlafer Rebecca
Published: February 2024

Introduction

The number of incarcerated pregnant women is increasing globally. With many having complex health and social backgrounds, incarceration provides opportunities for health interventions, including the chance to have their nutritional needs met. Despite the additional nutritional requirements of pregnancy being well documented, how these are being met within the correctional setting is currently poorly understood.

Methods

A scoping review of the literature was conducted to identify the literature published between January 2010 and April 2023 related to the provision of nutrition for pregnant women in the international prison systems. Sixteen papers met the criteria for inclusion in the review. The relevant key findings were charted and thematically analysed.

Results

Two themes were identified: ‘the inconsistent reality of food provision’ and ‘choice, autonomy and food’. There is a clear disparity in the way in which diet is prioritised and provided to pregnant incarcerated women across several countries.

Discussion

The findings highlight the need for a consistent approach to diet on a macro, global level to ensure the health of women and their infants in context.
Erythropoietin-producing hepatocellular receptor B6 is highly expressed in non-functioning pituitary neuroendocrine tumors and its expression correlates with tumor size
Authors: Rubinfeld Hadara , Cohen Zvi R. , Bendavid Uzi , Fichman-Horn Suzana , Levy-Barda Adva , David Cfir , Melamed Philippa , Shimon Ilan
Published: February 2024

Background

Erythropoietin-producing hepatocellular (EPH) receptors are the largest known family of receptor tyrosine kinases characterized in humans. These proteins are involved in tissue organization, synaptic plasticity, vascular development and the progression of various diseases including cancer. The Erythropoietin-producing hepatocellular receptor tyrosine kinase member EphB6 is a pseudokinase which has not attracted an equivalent amount of interest as its enzymatically-active counterparts. The aim of this study was to assess the expression of EphB6 in pituitary tumors.

Methods and Results

Human normal pituitaries and pituitary tumors were examined for EphB6 mRNA expression using real-time PCR and for EphB6 protein by immunohistochemistry and Western blotting. EphB6 was highly expressed in non-functioning pituitary neuroendocrine tumors (NF-PitNETs) versus the normal pituitary and GH-secreting PitNETs. EphB6 mRNA expression was correlated with tumor size.

Conclusions

Our results suggest EphB6 aberrant expression in NF-PitNETs. Future studies are warranted to determine the role and significance of EphB6 in NF-PitNETs tumorigenesis.
A Deep Convolutional Encoder–Decoder–Restorer Architecture for Image Deblurring
Authors: Fan Yiqing , Hong Chaoqun , Zeng Guanghui , Liu Lijuan
Published: February 2024

The accuracy of many computer vision tasks is reduced by blurred images, so deblur is important. More details of the image can be captured by a common multi-stage network, but the computational complexity of this method is higher compared with a single-stage network. However, a single-stage network cannot capture multi-scale information well. To tackle the problem, a novel convolutional encoder–decoder–restorer architecture is proposed. In this architecture, a multi-scale input structure is used in the encoder. Improved supervised attention module is inserted into the encoder for enhanced feature acquisition. In decoder, information supplement block is proposed to fuse multi-scale features. Finally, the fused features are used for image recovery in the restorer. In order to optimise the model in multiple domains, the loss function is calculated separately in the spatial and frequency domains. Our method is compared with existing methods on the GOPRO dataset. In addition, to verify the applications of our proposed method, we conduct experiments on the Real image dataset, the VOC2007 dataset and the LFW dataset. Experimental results show that our proposed method outperforms state-of-the-art deblurring methods and improves the accuracy of different vision tasks.
Fluoride transport in Arabidopsis thaliana plants is impaired in Fluoride EXporter (FEX) mutants
Authors: Tausta S. Lori , Fontaine Kathryn , Hillmer Ansel T. , Strobel Scott A.
Published: February 2024

Fluoride is an environmental toxin prevalent in water, soil, and air. A fluoride transporter called Fluoride EXporter (FEX) has been discovered across all domains of life, including bacteria, single cell eukaryotes, and all plants, that is required for fluoride tolerance. How FEX functions to protect multicellular plants is unknown. In order to distinguish between different models, the dynamic movement of fluoride in wildtype (WT) and fex mutant plants was monitored using [18F]fluoride with positron emission tomography. Significant differences were observed in the washout behavior following initial fluoride uptake between plants with and without a functioning FEX. [18F]Fluoride traveled quickly up the floral stem and into terminal tissues in WT plants. In contrast, the fluoride did not move out of the lower regions of the stem in mutant plants resulting in clearance rates near zero. The roots were not the primary locus of FEX action, nor did FEX direct fluoride to a specific tissue. Fluoride efflux by WT plants was saturated at high fluoride concentrations resulting in a pattern like the fex mutant. The kinetics of fluoride movement suggested that FEX mediates a fluoride transport mechanism throughout the plant where each individual cell benefits from FEX expression.
Observations and modelling of mosquito prevalence within urban areas – A case study from Uppsala, Sweden
Authors: Lindberg Fredrik , Lindström Anders , Stålnacke Ville , Thorsson Sofia , Destouni Georgia
Published: February 2024

Urban green–blue infrastructure (GBI) can provide important benefits to urban residents but may also affect mosquito abundance, with associated negative nuisance and infection transmission impacts. This study addresses important knowledge and quantification gaps for the relationships between mosquito prevalence and GBI features within cities. This is done for the city of Uppsala in Sweden as an urban case example, where mosquitos were captured and ambient air temperature and humidity were observed at seven different locations in the summer of 2022. A weighted multi-critera analysis (WMCA) model was developed based on relevant open data and open tools for resolving the mosquito (Culex pipiens) variations based on geographical variables, such as land cover/use, leaf area index, and building and green (vegetation) area fractions, within the city. The results show a clear relationship between mosquito prevalence and green-area fraction (of grass and trees), indicating that urban GBI extension can enhance mosquito prevalence, with possible associated negative impacts. This relationship is supported directly by data, showing significantly higher mosquito prevalence with higher ambient humidity, which in turn is related to larger green-area fraction. The developed WMCA model emerges as a promising tool, e.g., for urban development planning that needs to account for and seek relevant trade-off balances between positive and negative effects of urban GBI changes.
Distinguishing Between Long-Transient and Asymptotic States in a Biological Aggregation Model
Authors: Potts Jonathan R. , Painter Kevin J.
Published: February 2024

Aggregations are emergent features common to many biological systems. Mathematical models to understand their emergence are consequently widespread, with the aggregation–diffusion equation being a prime example. Here we study the aggregation–diffusion equation with linear diffusion in one spatial dimension. This equation is known to support solutions that involve both single and multiple aggregations. However, numerical evidence suggests that the latter, which we term ‘multi-peaked solutions’ may often be long-transient solutions rather than asymptotic steady states. We develop a novel technique for distinguishing between long transients and asymptotic steady states via an energy minimisation approach. The technique involves first approximating our study equation using a limiting process and a moment closure procedure. We then analyse local minimum energy states of this approximate system, hypothesising that these will correspond to asymptotic patterns in the aggregation–diffusion equation. Finally, we verify our hypotheses through numerical investigation, showing that our approximate analytic technique gives good predictions as to whether a state is asymptotic or transient. Overall, we find that almost all twin-peaked, and by extension multi-peaked, solutions are transient, except for some very special cases. We demonstrate numerically that these transients can be arbitrarily long-lived, depending on the parameters of the system.
Moving beyond reflection and toward disruption in the post-field context of mathematics teacher education
Authors: Nolan Kathleen T. , Bjerke Annette H.
Published: February 2024

Prospective teachers bring countless stories of success and failure from different mathematics classrooms to their post-field teacher education courses. These reflective stories often glorify school mathematics classrooms and dominant traditions within, instead of confronting the marginalization of diverse groups in school environments. Mathematics teacher educators have a significant role to play in teaching prospective teachers to reflect critically on their field experiences and, in doing so, create spaces for disruption and disruptive pedagogies. Drawing on critical and equity-based theories applied within the fields of mathematics education and teacher education research, we propose a disruptive pedagogy analytical framework that enables us to study the roles and practices of mathematics teacher educators as they conduct their work in these post-field contexts of teacher education. In this paper, we introduce our disruptive pedagogy framework and present the results that followed from using it to analyze data from a research study in which mathematics teacher educators from across Canada and Norway were interviewed. We claim that our analytical framework can be used to identify those disruptive and transformative practices initiated by mathematics teacher educators—practices that are necessary to bring about shifts in inequitable and unjust classroom practices of school mathematics and in becoming a teacher. Unfortunately, however, results reported here point to the need for further shifts and growth toward more explicitly disruptive practices initiated by mathematics teacher educators in the post-field context.
Multi-length Scale Approach to Investigate Cleaning of Food-Derived Deposits Adhered to Hard Surfaces: Mixtures of Starch, Whey Protein, and Lard
Authors: Sáenz-Espinar María José , Arroyo-Camarena Marina , Vicaria José María , Luzón Germán , Ávila-Sierra Alejandro
Published: February 2024

Fouling, the accumulation of undesirable material on manufacturing equipment surfaces, poses a pervasive challenge in industrial processes. In the food industry, the complex interactions among these compounds can give rise to stubborn deposits that deviate from conventional cleaning protocols. In this work, the forces and removal mechanisms of model fouling agents composed of mixtures of starch, whey protein, and lard deposited on solid surfaces of relevant industrial interest (i.e. stainless steel, aluminium, and PTFE) are investigated using a multi-length scale approach, involving milli-manipulation and a lab-simulated Clean-In-Place (CIP) system. The forces involved in the removal process, the types of failure observed when the deposits are subjected to shear stress (adhesive, mixed, or cohesive), and the performance of the CIP system are systematically analysed as a function of the cleaning treatments applied. For stainless steel surfaces, alkaline treatment seems to facilitate the cleaning of lard and starch deposits, while the whey foulant removal tends to be more effective using hot water under the conditions tested. Hot water is effective for stainless steel and PTFE surfaces, reducing the mechanical shear stress required, while the alkaline treatment demonstrated superior efficacy for aluminium surfaces. These findings emphasise the importance of customising cleaning protocols for CIP optimisation.
Comparative Analysis of Chemical, Microbiological, Sensory and Volatile Compound Profiles in Manouri PDO and Artisanal Manouri Cheeses: A Preliminary Study
Authors: Bintsis Τhomas , Mantzouridou Fani Th. , Lalou Sofia , Alvanoudi Panagiota , Ordoudi Stella A. , Angelidis Apostolos S. , Fletouris Dimitrios
Published: February 2024

Manouri, a protected designation of origin (PDO) cheese, is one of the most popular whey cheeses produced in Greece. The objective of the current study was to investigate if there are differences between artisanal and industrial Manouri cheeses regarding microbiological quality, volatile organic compounds (VOCs) profile and other quality parameters (colour, texture), sensory attributes and spectral characteristics detected by Fourier transform infrared spectroscopy (FT-IR) that may discriminate the samples. Differences were detected in the population of the dominant microbial groups, especially for lactic acid bacteria (LAB), Enterobacteriaceae and yeast counts. No discrimination was attained from the physicochemical analyses, except for the pH values. A total of 50 VOCs were identified, including ketones, lactones, free fatty acids, aldehydes, esters, alcohols and hydrocarbons. Sensory evaluation was carried out using a quantitative descriptive analysis (QDA) panel and a consumer panel. Consumers showed a preference for the artisanal Manouri, and the QDA panel revealed significant differences in 11 out of the 17 sensory attributes. Colour and texture analyses were also performed and showed specific differences in yellowness, as well as in fracturability and hardness. FT-IR spectral analysis demonstrated potential discrimination related to the phospholipid content and profile of artisanal and industrial Manouri.
Clinical Effect of Tumor-Specific Total Nutrients in Patients with Adjuvant Chemotherapy After Radical Gastric Cancer Resection: A Randomized Controlled Trial
Authors: Hua Xiumei , Liu Yang , Zhou Yaqing
Published: February 2024

Background

In this study, we combined adjuvant chemotherapy after radical gastric cancer resection with tumor-specific total nutrient therapy to analyze how it affects the nutritional state and immune function of the patient.

Method

We collected data from 106 patients having undergone adjuvant chemotherapy after radical gastric cancer resection between January 2020 and December 2021. We divided the patients into experimental and control groups (with 53 cases in each group) through single-blinded simple randomization using a random number table and the sealed envelope system. The control group received chemotherapy and the regular nutritional diet at the same time while the experimental group received tumor-specific total nutrients based on the control group. We analyzed the index results for the physical examination, nutritional status, and immune function of the patients in both groups recorded before and after one chemotherapeutic cycle.

Results

The control and experimental group compositions were as follows: 58.5% and 52.8% males with a mean age ± standard deviation of 54.36 ± 12.68 and 55.15 ± 12.32 years, respectively. After one chemotherapeutic cycle and the nutritional intervention, the experimental group displayed better physical examination indicators than the control group concerning the weight (55.8 ± 5.41 vs. 54.8 ± 6.94, p = 0.621), body fat mass (13.3 ± 0.88 vs. 13.1 ± 0.91, p = 0.253), upper arm circumference (21.9 ± 0.94 vs. 21.2 ± 1.23 cm, p = 0.001), triceps skinfold thickness (15.1 ± 1.36 vs. 14.3 ± 1.62 cm, p = 0.007), and grip strength (23.0 ± 1.30 vs. 22.3 ± 1.33, p = 0.007). In addition, the experimental group yielded better nutritional-status indicators than the control, including albumin (35.2 ± 1.60 vs. 33.7 ± 1.44 g/L, p = 0.001), hemoglobin (115.7 ± 9.28 vs. 111.5 ± 10.56 g/L, p = 0.032), total protein (63.7 ± 5.85 vs. 60.5 ± 5.27 g/L, p = 0.004), transferrin (2.5 ± 0.53 vs. 2.2 ± 0.58 g/L, p = 0.007), and immune-function indicators CD4+ (32.8 ± 4.82 vs. 28.8 ± 3.76, p = 0.001), CD8+ (34.1 ± 3.36 vs. 37.2 ± 3.85, p = 0.001), CD4/CD8 (1.0 ± 0.28 vs. 0.8 ± 0.34, p = 0.001), IgA (2.7 ± 1.43 vs. 4.1 ± 1.47, p = 0.001), and IgG (8.8 ± 1.74 vs. 10.9 ± 1.28, p = 0.001).

Conclusion

Combined tumor-specific total nutrient and adjuvant chemotherapy application after radical gastric cancer surgery effectively improves the nutritional state and immune function of the patients and could be applied in clinical practice.
3D-printed boluses for radiotherapy: influence of geometrical and printing parameters on dosimetric characterization and air gap evaluation
Authors: Gugliandolo Simone Giovanni , Pillai Shabarish Purushothaman , Rajendran Shankar , Vincini Maria Giulia , Pepa Matteo , Pansini Floriana , Zaffaroni Mattia , Marvaso Giulia , Alterio Daniela , Vavassori Andrea , Durante Stefano , Volpe Stefania , Cattani Federica , Jereczek-Fossa Barbara Alicja , Moscatelli Davide , Colosimo Bianca Maria
Published: February 2024

The work investigates the implementation of personalized radiotherapy boluses by means of additive manufacturing technologies. Boluses materials that are currently used need an excessive amount of human intervention which leads to reduced repeatability in terms of dosimetry. Additive manufacturing can solve this problem by eliminating the human factor in the process of fabrication. Planar boluses with fixed geometry and personalized boluses printed starting from a computed tomography scan of a radiotherapy phantom were produced. First, a dosimetric characterization study on planar bolus designs to quantify the effects of print parameters such as infill density and geometry on the radiation beam was made. Secondly, a volumetric quantification of air gap between the bolus and the skin of the patient as well as dosimetric analyses were performed. The optimization process according to the obtained dosimetric and airgap results allowed us to find a combination of parameters to have the 3D-printed bolus performing similarly to that in conventional use. These preliminary results confirm those in the relevant literature, with 3D-printed boluses showing a dosimetric performance similar to conventional boluses with the additional advantage of being perfectly conformed to the patient geometry.
Identifying future high healthcare utilization in patients with multimorbidity – development and internal validation of machine learning prediction models using electronic health record data
Authors: Weil Liann I. , Zwerwer Leslie R. , Chu Hung , Verhoeff Marlies , Jeurissen Patrick P.T. , van Munster Barbara C.
Published: February 2024

Purpose

To develop and internally validate prediction models with machine learning for future potentially preventable healthcare utilization in patients with multiple long term conditions (MLTC). This study is the first step in investigating whether prediction models can help identify patients with MLTC that are most in need of integrated care.

Methods

A retrospective cohort study was performed with electronic health record data from adults with MLTC from an academic medical center in the Netherlands. Based on demographic and healthcare utilization characteristics in 2017, we predicted ≥ 12 outpatient visits, ≥ 1 emergency department (ED) visits, and ≥ 1 acute hospitalizations in 2018. Four machine learning models (elastic net regression, extreme gradient boosting (XGB), logistic regression, and random forest) were developed, optimized, and evaluated in a hold-out dataset for each outcome.

Results

A total of 14,486 patients with MLTC were included. Based on the area under the curve (AUC) and calibration curves, the XGB model was selected as final model for all three outcomes. The AUC was 0.82 for ≥ 12 outpatient visits, 0.76 for ≥ 1 ED visits and 0.73 for ≥ 1 acute hospitalizations. Despite adequate AUC and calibration, precision-recall curves showed suboptimal performance.

Conclusions

The final selected models per outcome can identify patients with future potentially preventable high healthcare utilization. However, identifying high-risk patients with MLTC and substantiating if they are most in need of integrated care remains challenging. Further research is warranted investigating whether patients with high healthcare utilization are indeed the most in need of integrated care and whether quantitively identified patients match the identification based on clinicians’ experience and judgment.