bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on the Model of UBI Freight Vehicle Car Insurance Rate Level Judgment Based on MSNSSA Algorithm Optimized FCM Clustering Algorithm
Authors: Wang Xindong , Yan Chun , Liu Wei , Liu Xinhong 
Published: September 2022

Abstract
With the support of the Internet of Vehicles technology, UBI car insurance premium rate determination has certain guiding significance for realizing accurate pricing of freight vehicle car insurance rates and meeting the individual needs of users. The SSA algorithm is optimized, and the MSNSSA algorithm is proposed, which is used to build a model for determining the UBI rate of freight vehicles. The model first divides the original population into three sub-groups of leader, followers and salp chain evenly according to the fitness value from small to large, and perform different search tasks respectively. By adding a symbiosis strategy to the follower location update process, the development capability of the SSA algorithm can be effectively enhanced. It is proposed to add a non-uniform Gaussian mutation strategy to the chain with poor fitness value to enhance the diversity of the population. By establishing the MSNSSA-FCM algorithm, using the global optimization advantage of the MANSSA algorithm, the clustering center of the FCM algorithm is optimized, and then the sample weight and attribute weight are introduced to design the objective function of the FCM clustering algorithm to improve the clustering of the FCM algorithm performance. The empirical evidence shows that the UBI Freight Vehicle Car insurance rate rating model established based on the MSNSSA-FCM algorithm has reduced visual noise and reduced intra-cluster error variance. In the process of processing UBI Freight Vehicle Car insurance data, compared with FCM algorithm and SSA-FCM algorithm and SAGA-FCM algorithm have higher clustering accuracy, and provide decision-making basis for insurance companies to mine more accurate customer classification information, customer driving risk assessment and customer car insurance rate rating.
A (processed) apple a day, keeps the doctor away? Natural occurrence, exposure assessment &amp; risk characterization of Alternaria mycotoxins in apple by-products in Argentina
Authors: Pavicich Maria Agustina , De Boevre Marthe , Vidal Arnau , Mikula Hannes , Warth Benedikt , Marko Doris , De Saeger Sarah , Patriarca Andrea 
Published: September 2022

Abstract
Apple fruits are susceptible to infection with Alternaria species, mainly causing mouldy core disease, hindering the detection of infected fruit by processing industries. Data on the natural occurrence of Alternaria mycotoxins in apple by-products is lacking in Argentina. The risk of exposure to these mycotoxins has not been characterized before. Therefore, the levels of alternariol (AOH), alternariol monomethyl ether (AME), altenuene (ALT), tenuazonic acid (TeA), tentoxin (TEN), altertoxin-I (ATX-I), altertoxin-II (ATX-II), alternariol 3-sulfate (AOH-3-S), alternariol 3-glucoside (AOH-3-G), alternariol monomethyl ether 3-sulfate (AME-3-S), and alternariol monomethyl ether 3-glucoside (AME-3-G) were determined in clarified and cloudy apple juices, marmalades, and apple-based infant food from the Argentinean market, and the risk of exposure was characterized. In the clarified juices, detectable levels of AME, TEN, TeA, AME-3-S and AOH-3-G were found, while in the cloudy apple juices the same mycotoxins plus AOH were found in higher concentrations. AME, TEN, TeA and AOH-3G were found in marmalades, and AOH, AME, TEN and TeA were detected in apple infant food. Probabilistic exposure assessment and risk characterization were carried out for children between 6 months and 5 years old in Argentina from the consumption of clarified and cloudy apple juices and apple-based infant food. The highest risk of exposure affected children between 6 and 23 months from the consumption of apple infant food. The alternariols represented the highest risk. Better control strategies to prevent the incorporation of Alternaria mouldy core into the process line, and the establishment of legislation for Alternaria mycotoxins are needed in Argentina.
Use of Green Fluorescent Nano-sensors for the Determination of Furosemide in Biological Samples and Pharmaceutical Preparations
Authors: Zaid Mona H. Abo , El-Enany Nahed , Mostafa Aziza E. , Hadad Ghada M. , Belal Fathalla 
Published: September 2022

Abstract
A facile green microwave-assisted method was developed for the production of highly fluorescent nitrogen doped carbon quantum dots (N-CQDs) using sucrose and urea as starting materials. The fluorescent N-CQDs were utilized as nano-sensors for the spectrofluorimetric estimation of furosemide after subjecting to extensive spectroscopic characterization. The quantum yield of the obtained N-CQDs was found to be 0.57. After excitation of the produced N-CQDs at 216 nm, a strong emission band appeared at 376 nm. The fluorescence emission of N-CQDs was quantitatively quenched by adding increased concentrations of the drug. A linear relationship was obtained over the concentration range of 0.1–1.0 µg/mL. The developed method was successfully applied for the estimation of furosemide in its pharmaceutical preparations and biological samples. The mechanism of the quenching was studied and explained. Interference likely to be introduced from co-administered drugs was also studied.
Experiences of integrating the body in the self in subjects with anorexia nervosa
Authors: Naess Caroline Ringø , Kolnes Liv-Jorunn 
Published: September 2022

Abstract
Background: People with anorexia nervosa often present with confusions around bodily sensations and difficulties in experiencing their body as a place of their own. Many existing models understand anorexia nervosa as a disorder of behaviour and thoughts about eating and body size, and treatments typically focus on modifying thoughts and psychological processes. They leave aside the subject as she experiences the body from a first-person perspective. Inspired by phenomenology and the embodied mind thesis, this study explores in depth the experiences of individuals with anorexia nervosa as they engage in Norwegian psychomotor physiotherapy. Through release of bodily tension and restricted breathing, this method aims to help subjects tune into the body and accept that difficult experiences, relationships and feelings are also bodily.
Method: Qualitative in-depth interviews were conducted with two women who had been attending Norwegian psychomotor physiotherapy for more than two years. Thematic analysis was used to identify, analyse and interpret themes within the data.
Results: Three main overarching themes that structure the subjects’ experiences were identified: the meaning of the therapeutic relationship, changes in bodily connectedness and ways of moving, and improved ability to articulate and reflect on feelings.
Conclusions: The subjects described a greater tendency to experience the body in the self and as a place of their own, a more flexible and vital body, and an increased capacity to identify, express and make sense of feelings. These changes enriched their interactions with the social world. Feeling acknowledged and accepted by the therapist throughout the process was essential. The study illustrates how difficult experiences, thoughts and feelings can, over time, manifest in the body as withheld breathing and diverse bodily constraints affecting both self- and body awareness.
The study endorses the phenomenological concepts that our experiences of the self and the world are essentially bodily, and emphasizes the importance of the first-person perspective when investigating the contribution of the body to the self and to our interactions with the social world. Physio- and body awareness therapies that help patients relate to, understand and integrate bodily experiences may complement other treatment approaches and help patients with anorexia proceed with the recovery process.
Effect of cold pressed chia seed oil intake on hematological and biochemical biomarkers in both normal and hypercholesterolemic rabbits
Authors: Alarcon Gabriela , Sierra Liliana , Roco Julieta , Nieuwenhove Carina Van , Medina Analia , Medina Mirta , Jerez Susana 
Published: September 2022

Abstract
Most of the studies into the beneficial effects of chia were conducted with seeds. However, less evidence about the effects of cold pressed chia seeds oil on hypercholesterolemia-induced alterations has been found. Thus, this study investigated the effects of cold pressed chia seed oil supplementation on some clinical, hematological and biochemical biomarkers in both normal and hypercholesterolemic rabbits. All experimental protocols were approved by the Institutional Animal Ethics Committee (Approval number: 021/2019; Date: March 23th, 2021). 32 male rabbits were assigned to four different groups fed on: regular diet (CD), CD supplemented with 10% chia oil, CD supplemented with 1% cholesterol, CD supplemented with 1% cholesterol and 10% chia oil. After 6 weeks of dietary interventions, mean arterial blood pressure and visceral fat were measured and blood samples were analyzed for lipid profiles and hematological parameters while erythrocyte membranes and retroperitoneal fat were analyzed for fatty acids composition and biochemical biomarkers. Dietary intervention with chia oil reached to control hypercholesterolemia-induced increase of mean arterial blood pressure, neutrophil to lymphocytes ratio, erythrocyte membrane fluidity, and improved erythrocyte morphological alterations. With regard to inflammatory biomarkers, chia oil supplementation reduced omega-6/omega 3 polyunsaturated fatty acids ratio and arachidonic/linolenic fatty acids ratio both in erythrocytes and fat from normal and hypercholesterolemic rabbits. The increase of linolenic fatty acid into the retroperitoneal fat was about 9 times higher than its respective controls. These results provide support for the potential health benefits of the chia oil intake against hypercholesterolemia-associated clinical, hematological and biochemical alterations.
Key environmental effects on the developing functional connectome: a 3T resting-state fMRI study on young twins
Authors: Tassi Emma , Maggioni Eleonora , Mauri Maddalena , Fagnani Corrado , Agarwal Nivedita , Bianchi Anna Maria , Stazi Maria Antonietta , Nobile Maria , Brambilla Paolo 
Published: September 2022

Abstract
The brain intrinsic organization into large-scale functional networks, the resting state networks (RSN), shows a complex inter-individual variability, consolidated during development. Nevertheless, the role of genetic and environmental factors on developmental brain functional connectivity (FC) remains largely unknown. Twin design represents an optimal platform to shed light on these effects acting on RSN characteristics.
In this study, we applied statistical twin methods to resting-state functional magnetic resonance imaging (rs-fMRI) scans from 50 young twin pairs (age range 10-30 years) to explore developmental determinants of brain FC. FC features at multiple spatial scales were extracted and tested for applicability of classical ACE and ADE twin design. Epistatic genetic effects were also assessed.
In our sample, genetic and environmental effects on the brain functional connections largely varied between brain regions and FC features, showing good consistency at multiple spatial scales. Although we found selective contributions of common environment on temporo-occipital connections and of genetics on frontotemporal connections, the predominant effect on FC link- and node-level features was related to unique environment.
Our results showed that developmental age is characterized by complex relationships between genetic and environmental factors and functional brain connections, suggesting a predominant role of unique environment on multi-scale RSN characteristics.
Transverse and longitudinal right ventricular fractional parameters derived from four-chamber cine MRI are associated with right ventricular dysfunction etiology
Authors: Sato Makito , Kato Tomoko , Ito Miyuki , Watanabe Yoko , Ito Junko , Takamura Chisato , Terashima Masahiro 
Published: September 2022

Abstract
Studies of the usefulness of transverse right ventricular (RV) contraction are limited. We retrospectively analyzed the CMR images of 67 patients (age: 50.8 ± 19.0 years; men: 53.7%; Control: n = 20, Overloaded RV (atrial septal defect): n = 15, Constricted RV (pericarditis): n = 17, Degenerated RV (arrhythmogenic right ventricular cardiomyopathy): n = 15) (all enrolled consecutively for each disease) in a single center. We defined RV longitudinal (fractional longitudinal change: FLC) and transverse (fractional transverse change: FTC) contraction parameters. We assessed the FTC/FLC (T/L) ratio on four-chamber cine CMR views and compared the four groups regarding the fractional parameters. FTC had a stronger correlation (R2 = 0.650; p < 0.001) with RV ejection fraction than that with FLC (R2 = 0.211; p < 0.001) in the linear regression analysis. Both FLC and FTC were significantly lower in the Degenerated RV and Constricted RV groups compared with those in the Control and Overloaded RV groups. The T/L ratio was significantly lower in the Degenerated RV group (p = 0.008), while the Overloaded RV (p = 0.986) and Constricted RV (p = 0.582) groups had preserved T/L ratios, compared with the Control group. Transverse contraction contributes to RV function more significantly compared with longitudinal contraction. Impaired T/L ratios may reflect RV myocardial degeneration. RV fractional parameters may help precisely understand RV dysfunction.
Daily dose evaluation based on synthetic CTs for breast cancer patients: accuracy of dose and complication risk assessment
Authors: Hamming Vincent C. , Andersson Sebastian , Maduro John H. , Langendijk Johannes A. , Both Stefan , Sijtsema Nanna M. 
Published: September 2022

Abstract
Objectives: The goal of this study is to propose a method for the generation of synthetic CTs from daily CBCTs that can be used for dose evaluation in breast cancer patients with large anatomical changes treated with photon irradiation.
Materials and method: Seventy-six breast cancer patients treated with a partial VMAT photon technique (70% conformal, 30% VMAT) were included in this study. All patients showed at least a 5 mm variation (swelling or shrinkage) of the breast on the CBCT compared to the planning-CT (pCT) and had a repeat-CT (rCT) for dose evaluation acquired within 3 days of this CBCT. The original CBCT was corrected using four methods: 1) HU-override correction (CBCTHU), 2) analytical correction and conversion (CBCTCC), 3) deep learning (DL) correction (CTDL) and 4) virtual correction (CTV). Image quality evaluation consisted of calculating the mean absolute error (MAE) and mean error (ME) within the whole breast clinical target volume (CTV) and the field of view of the CBCT minus 2 cm (CBCT-ROI) with respect to the rCT. The dose was calculated on all image sets using the clinical treatment plan for dose and gamma passing rate analysis.
Results: The MAE of the CBCT-ROI was below 66 HU for all synthetic CTs, except for the CBCTHU with a MAE of 142 HU. No significant dose differences were observed in the CTV regions in the CBCTCC, CTDL and CTv. Only the CBCTHUdeviated significantly (p<0.01) resulting in 1.7%(±1.1%)average dose deviation. Gamma passing rates were >95% for 2%/2mm for all synthetic CTs.
Conclusion: The analytical correction and conversion, deep learning correction and virtual correction methods can be applied for an accurate synthetic CT generation that can be used for dose evaluation during the course of photon radiotherapy of breast cancer patients.
Mesothelioma-associated fibroblasts enhance proliferation and migration of pleural mesothelioma cells via c-Met/PI3K and WNT signaling but do not protect against cisplatin
Authors: Ries Alexander , Flehberger Daniela , Slany Astrid , Pirker Christine , Mader Johanna C , Mohr Thomas , Schelch Karin , Sinn Katharina , Mosleh Berta , Hoda Mir Alireza , Dome Balazs , Dolznig Helmut , Krupitza Georg , Gerner Christopher , Berger Walter , Grusch Michael 
Published: September 2022

Abstract
Background
Pleural mesothelioma (PM) is an aggressive malignancy with poor prognosis. Unlike many other cancers, PM is mostly characterized by inactivation of tumor suppressor genes. Its highly malignant nature in absence of tumor driving oncogene mutations indicates an extrinsic supply of stimulating signals by cells of the tumor microenvironment (TME). Cancer-associated fibroblasts (CAFs) are an abundant cell type of the TME and have been shown to drive the progression of several malignancies. The aim of the current study was to isolate and characterize patient-derived mesothelioma-associated fibroblasts (Meso-CAFs), and evaluate their impact on PM cells.
Methods
Meso-CAFs were isolated from surgical specimens of PM patients and analyzed by array comparative genomic hybridization, transcriptomics and proteomics. Human PM cell lines were retrovirally transduced with GFP. The impact of Meso-CAFs on tumor cell growth, migration, as well as the response to small molecule inhibitors and cisplatin treatment was investigated in 2D and 3D co-culture models by videomicroscopy and automated image analysis.
Results
Meso-CAFs show a normal diploid genotype without gene copy number aberrations typical for PM cells. They express CAF markers and lack PM marker expression. Their proteome and secretome profiles clearly differ from normal lung fibroblasts with particularly strong differences in actively secreted proteins. The presence of Meso-CAFs in co-culture resulted in significantly increased proliferation and migration of PM cells. A similar effect on PM cell growth was induced by Meso-CAF-conditioned medium. Inhibition of c-Met with crizotinib, PI3K with LY-2940002 or WNT signaling with WNT-C59 significantly impaired the Meso-CAF-mediated growth stimulation of PM cells in co-culture at concentrations not affecting the PM cells alone. Meso-CAFs did not provide protection of PM cells against cisplatin but showed significant protection against the EGFR inhibitor erlotinib.
Conclusions
Our study provides the first characterization of human patient-derived Meso-CAFs and demonstrates a strong impact of Meso-CAFs on PM cell growth and migration, two key characteristics of PM aggressiveness, indicating a major role of Meso-CAFs in driving PM progression. Moreover, we identify signaling pathways required for Meso-CAF-mediated growth stimulation. These data could be relevant for novel therapeutic strategies against PM.
Solar Hydrogen Generation using Abundant Materials via Membrane-less Electrochemical Water Splitting
Authors: Joshi Khushali , Mistry Khyati , Tripathi Brijesh , Chandra Prakash , Shinde Satyam , Kumar Manoj , Santola Dhaval , Choksi Himanshu , Gurrala Pavan Kumar 
Published: September 2022

Abstract
Storing and delivering green hydrogen produced using solar energy possess exceptional potential to supplement and dispense the share of promising but sporadic renewable energy. In this scenario, robust materials capable of delivering solar driven electrochemical water splitting for hydrogen generation provide intriguing protocol that are applicable to all sectors of energy., Electrochemical water splitting is conventional and most prevalent technique for hydrogen generation, which utilizes platinum-based materials for hydrogen evolution reaction (HER). However, these palatinum based noble metal catalysts possess poor cyclic stability limiting its commercial application for economical hydrogen generation. Therefore, development of efficient non-noble metal based electro-catalysts are urgently needed to produce cost-competitive hydrogen energy. Several kinds of non-noble metal based heterogeneous electro-catalysts, including carbides, sulphides, selenides, oxides, and phosphides have been developed and studied. Unique physicochemical properties of carbon materials make them promising candidates to support catalysts. In this paper, molybdenum disulphide (MoS2) nanomaterial catalysts have been synthesized, deposited on carbon fibre (C-fibre) based material and then used for solar hydrogen generation by membrane-less electrochemical water splitting. Solar to hydrogen conversion efficiency is found to be 2.46% at an irradiation level of 430 W/m2 and working temperature of 35°C.
Epileptic seizure prediction from multivariate sequential signals using multidimensional convolution network
Authors: Wei Xiaoyan , Cao Xiaojun , zhang zhen , Zhou Yi 
Published: September 2022

Abstract
Background: The ability to predict coming seizures will improve the quality of life of patients with epilepsy. Analysis of brain electrical activity using multivariate sequential signals can be used to predict seizures.
Method:Seizure prediction can be regarded as a classification problem between interictal and preictal EEG signals. In this work, hospital multivariate sequential EEG signals were transformed into multidimensional input,multidimensional convolutional neural network models were constructed to predict seizures. several channels segments were extracted from the interictal and preictal time duration and fed them to the proposed deep learning models.
Result:The average accuracy of multidimensional deep network model for multi-channel EEG data is about 94%, the average sensitivity is 88.47%, and the average specificity is 89.75%.
Conclusion:This study combines the advantages of multivariate sequential signals and multidimensional convolution network for EEG data analysis to predict epileptic seizures, thereby enabling early warning before epileptic seizures in clinical applications.
Joint 4-D Visualisation and Analysis of Geodynamic Models and Geological Data
Authors: Bodur Ömer Faruk , Flament Nicolas 
Published: September 2022

Abstract
Advancements in computational methods have shaped investigations of Earth’s interior. Geodynamicists model Earth’s convective mantle using super-computers, and such complex models create massive outputs that necessitate solutions for effective visualisation and comparison to geological constraints. Here we present an open-source framework for robust 4-D (3-D space and time) joint visualisation of geodynamic models and geological data. The framework brings together geological data and geodynamic models in the same platform allowing for new ways of analysis and more insights on the relationship between Earth’s interior and surface. It has applications in both basic research and frontier resource exploration, and is dynamic enough to be used in various applications that require overlapping spatial data over time. In this work, we provide methods and examples to visualise geological data with various geometries in 3-D, showcase applications including mapping Earth’s mantle temperature anomalies and chemical composition, tracking materials such as sinking cold mantle structures over time, and using virtual drillholes to probe into Earth’s interior for which properties with depth are analysed.