bluuebunny/crossref_metadata_2025_split huggingface dataset:
Long term worsening of Alzheimer pathology and clinical outcome by a single inoculation of mutated beta-amyloid seeds
Authors: Célestine Marina , Jacquier-Sarlin Muriel , Borel Eve , Petit Fanny , Perot Jean-Baptiste , Hérard Anne-Sophie , Bousset Luc , Buisson Alain , Dhenain Marc 
Published: December 2022

Abstract
Background
Alzheimer’s disease (AD) is characterized by intracerebral accumulation of abnormal proteinaceous assemblies made of amyloid-β (Aß) peptides or tau proteins. These lesions induce synaptic dysfunctions that are strongly correlated with cognitive decline. Intracerebral infusion of well-defined Aβ seeds from synthetic or recombinant non-mutated Aβ1−40 or Aβ1−42 peptides can increase Aβ plaque depositions several months after the infusion. Familial forms of AD are associated with mutations in the amyloid precursor protein (APP) that induce the production of Aβ peptides with different structures. The Aβosa mutation (E693Δ) is located within the Aβ sequence and thus the Aβosa peptides have different structures and properties as compared to non-mutated Aβ1−42 peptides (Aβwt). Here, we wondered if a single exposure to this mutated Aβ can worsen AD pathology as well as downstream events including cognition, cerebral connectivity and synaptic health several months after the inoculation compared to non-mutated Aβ.
Method
To answer this question we inoculated Aβ1−42-bearing Osaka mutation (Aβosa) in the dentate gyrus of APPswe/PS1dE9 mice at the age of two months. The inoculated mice were analyzed at 4 months post-inoculation by cognitive evaluation and functional MRI to assess cerebral connectivity. Aβ and tau lesions as well as synaptic density were evaluated by histology. The impact of Aβosa peptides on synaptic health was also measured on primary cortical neurons.
Results
Remarkably, compared to Aβwt, the intracerebral administration of Aβosa induced cognitive impairments, synaptic impairments and a reduction of the connectivity between different brain regions, 4 months post-inoculation. Aβ plaque depositions but not tau lesions were increased and Aβ oligomeric patterns were modified.
Conclusion
This is the first study showing long-term functional toxicity of Aβ seeds. It shows that a single, sporadic event as Aβosa inoculation can worsen the fate of the pathology and clinical outcome several months after the event. Extrapolation of this discovery suggests that any event that modulates focally Aβ aggregation process in the time-course of AD can be responsible for the heterogeneity of AD clinical outcome.
Fast Forward: Influencing the future in virtual reality increases real-life pro-environmental behaviour
Authors: Plechatá Adéla , Hielkema Marijke , Merkl Lisa-Marie , Makransky Guido , Frøst Michael Bom 
Published: December 2022

Abstract
To reach necessary greenhouse gas (GHG) emissions targets, behavioural change is necessary at the consumer level. Nevertheless, behavioural interventions have only a limited impact on habitual behaviours such as beef consumption, which significantly contributes to the GHGs released. Immersive virtual reality (VR) in the metaverse can transform the current information-based environmental communication into more experience-based communication. To study how such a shift might change its effectiveness, we randomly assigned participants to a VR experience (experiencing and influencing future climate change scenarios based on food choices) or a VR information condition (receiving the same information from a virtual human). The VR experience led to higher intentions to reduce meat consumption and more pro-environmental behaviour in VR and real life as compared to the information condition. Mediation analyses confirm that experiential VR environmental communication can increase people’s efficacy beliefs, which increase their intentions and, consequently, lead to a reduction in beef consumption.
Detection Of Right Ventricular dysfunction by Three – Dimensional Echocardiography and Two - Dimensional Speckle Tracking in Breast Cancer Patients Receiving Anthracycline- based Chemotherapy
Authors: El-Sherbeny Wafaa S. , Sabry Nesreen M. , El-Saied Shaimaa B. , Elnagar Basma 
Published: December 2022

Abstract
Background
Despite the cardiotoxic effect of anthracycline on the left ventricle (LV) was wholly identified. the assessement of anthracycline effect on the right ventricle(RV) by conventional echocardiography was achallenge due to its complex geometry. our study was to evaluate the impact of anthracycline on the RV volume and function using 3D –echocardiography (3DE) and 2D -speckle tracking echocardiography (2D-STE) in patients with breast cancer.
Methods
The study was conducted on 66 female patients with breast cancer receiving anthracycline chemotherapy, in addition to full echocardiography, 2D-STE and 3DE evaluation of RV function and volume were done at baseline, after 4th cycle of chemotherapy, six and nine months after the end of chemotherapy.
Results
Cardiotoxicity from anthracycline occurred in18 patients whose LVEF became significantly reduced after 9 months of therapy according to that, the patients were divided into the non-cardiotoxic group (n:48) and the cardiotoxic group (n:18). At cardiotoxic group, 3D RVESV and 3D RVEDD increased significantly at 6 months and continued till 9 months compared to baseline values (42.50 ± 5.98 vs 50.44 ± 7.01, p = 0.005) and (86.78 ± 9.16 vs 95.78 ± 9.23, p = 0.021) .LVGLS showed a significant reduction early after 6 months of therapy, 2D GLS and FWLS of RV were significantly decreased at 6 months and continued till 9 months after therapy (-22.54 ± 0.79 vs. -19.53 ± 1.32, p = 0.001) and (-24.67 ± 1.27vs. -22.22 ± 1.41, p = 0.001) respectively. The variation of RVFWLS was a predictor of cardiotoxicity, the relative drop of RVFWLS 19.3% had 83% sensitivity and 71% specificity, (AUC = 0.82) to identify patients developed cardiotoxicity
Conclusion
3DE is a promising modality in recognizing the early changes in RV volumes and minute alteration in RV function and 2D-STE is a reliable predictor of RV systolic dysfunction which identify the subclinical affection.
Global asymptotic stability and projective lag synchronization for uncertain inertial competitive neural networks
Authors: Han Caiqing , wang Baoxian , Tang Dandan 
Published: December 2022

Abstract
Without converting the second-order term into the first-order term, the global asymptotic stability and projective lag synchronization problem of the second-order uncertain competitive neural networks with infinite distribution and time-varying delay are studied by designing an adaptive control scheme. Based on Lyapunov stability theory, some new criteria are directly obtained according to algebraic inequalities, so as to ensure the stability and projective lag synchronization of uncertain competitive neural networks. In addition, compared with the reduced order method, the projective lag synchronization is obtained directly by using the non-reduced-order method to construct some Lyapunov functions. Finally, some examples are provided to determine the availability of theoretical results.
Prognosis and immunotherapy response in head and neck squamous cell carcinoma could be predicted by a signature based on three genes, as revealed by an integrated analysis of single-cell and bulk RNA-sequencing data
Authors: Feng Chen , Liu Yuanyuan , Mao Wei , Xiao Qiyi , Yan Minzhu , Dong Pin , Chen Xinwei , Liu Yuying 
Published: December 2022

Abstract
Background: The microenvironment of head and neck squamous cell carcinoma (HNSC) is made up of cancer and non-cancerous cells, and their interactions have profound effects on anti-tumor immunity. However, a thorough understanding of the genetic and cellular-level intercellular communication networks involved in tumor progression remains a significant obstacle.
Material/Methods: 460 HNSC patients from various cohorts were included. To identify the marker genes, we analyzed single-cell RNA-sequencing (scRNA-seq) data from GEO database. An analysis of immunological infiltrating cell density was carried out using cell-type identification by calculating relative subsets of RNA transcripts (CIBERSORT). The bulk RNA-seq dataset from TCGA database was used to construct signature, and the GSE 65858 were used for validation. And the expression of related proteins were verified using HPA database and western blotting.
Results: A three-gene signature (CES1, ELF3 and SERPINE1) was developed for prognostic prediction in the TCGA dataset, which divided patients into high-risk and low-risk categories based on overall survival. The prognostic potential of the signature was confirmed by GSE 65858. The signature protein expression was validated by HPA database and western blotting. Furthermore, the riskScore was identified as a significant prognostic factor in the multivariate analysis, indicating that the signature had high predictive ability. In addition, patients with high-risk scores obtained fewer benefits from immunotherapy.
Conclusions: Our study identified a distinctive predictive signature for HNSC patients based on CES1, ELF3, and SERPINE1. The signature may be used as a predictor for immunotherapy and as an indicator of survival in patients with HNSC.
A new version of Frank Aggregation Operators Under Pythagorean Cubic Fuzzy Sets and their Applications inInvestment decision making
Authors: Rahim Muhammad 
Published: December 2022

Abstract
Cubic Pythagorean fuzzy set is the recent devolvement in fuzzy set theory. The aim of this paper is to propose a series of aggregation operators named Frank operators based on Frank t-norm and t-conorm under cubic Pythagorean fuzzy sets environment. The main objective of these operators is to capture the interrelationship between the arguments. Some basic properties such as monotonicity, boundedness, and commutativity are discussed in detail. Then we develop a decision-making approach based on the stated operators to deal with multi-criteria group decision-making problems. Finally, the application of the proposed method is illustrated with a numerical example. The outcomes of the proposed approach are compared with some existing approaches to illustrate the applicability and feasibility of the proposed approach.
WITHDRAWN: Spirulina and/or Canthaxanthin -Enriched Artemia Enhances Pigmentation, Performance, Immunity, Histology, and Somatolactin and Growth Hormone Gene Expression of Goldfish, Carassius auratus
Authors: Elshafey Ahmed E. , Khalafalla Malik M. , Zaid Attia A. Abou , Abdel-Rahim Mohamed M. 
Published: December 2022

Abstract
The ornamental fish industry faces a major challenge in enhancing the brilliant coloration desired by consumers. Therefore, the main objective of this study was to assess the influence of spirulina and/or canthaxanthin enriched artemia on the efficacy of goldfish pigmentation. Growth, blood analysis, immunity, histology, and the expression of the genes for somatolactin (SL) and growth hormone (GH) of goldfish were also evaluated. Goldfish (N = 225, 1.10 ± 0.02g) were tested with five experimental treatments as follows: (T1) fish fed a basal diet; (T2) fish fed a basal diet and un-enriched artemia (UEA); (T3) fish fed a basal diet and spirulina enriched artemia (SEA); (T4) fish fed a basal diet and canthaxanthin enriched artemia (CEA); and (T5) fish fed a basal diet and spirulina and canthaxanthin enriched artemia (SCA). The experiment lasted for 90 days. The results showed that T5 had the highest carotene concentration (3.446 mg/g), lowest chromatic deformity, and better growth performance and feed utilization (P ≤ 0.05). The best results in hematology, serum biochemical, and immunological tests were observed in goldfish treated with T5. In addition, histological examination of the intestine in T5 revealed a significant increase in villi length and goblet cells (#/mm2) in the anterior and middle intestine. Dietary effects on SL and GH gene expression in the liver and brain differed significantly among treatments. However, a significant increase in values was observed in all treatments except T1 and T2. The somatolectin alpha (SL-a) gene is expressed in the brain rather than the liver specially in T5.
The Role of Semiannual Cycle in Modulating Seasonality Changes of Surface Air Temperature over China and its Mechanism
Authors: Deng Qimin , Wang Yuting , Tan Xin , Fu Zuntao 
Published: December 2022

Abstract
Taking the semiannual cycle of surface air temperature (SAT) into account in fitting the finer structure of the seasonal cycle, this study reveals the specific role of the semiannual cycle in modulating variations of the season onsets and lengths for the first time. The time-varying amplitudes and phases of the annual and semiannual SAT cycle for the period 1964 to 2017 in China are extracted from daily observations based on harmonic analysis. The results show that the phase differences between the two harmonics remain essentially unchanged, while the amplitude ratio of the semiannual to annual harmonics tends to increase after 1988. This enhanced semiannual cycle together with the global warming and annual cycle changes jointly led to a much longer summer with an average speed of 7.45 days/10 years and shorter spring, autumn, and winter with speeds of -2.43, -1.63, and − 4.26 days/10 years, respectively. Such obvious asymmetry cannot be found in fitting seasonal cycles by only annual harmonics. The average absolute percentages of the linear trends of season onsets and lengths caused by the intensification of the semiannual cycle are 52.63% and 78.66%. It indicates that season onsets and length not only depend on the phase of annual and semiannual harmonic, but also highly related to the strength of semiannual cycle. The time evolutions of semiannual cycle strength in China are found to be significantly correlated to the meridional temperature advection. The anomalous stronger southward wind in December can result in colder temperature and hence intensify the semiannual component.
Effects of combined nutrient and pesticide exposure on algal biomass and Daphnia magna abundance
Authors: Onyango Joel , Bruggen J. J.A. , Kitaka Nzula , Simaika John , Irvine Kenneth 
Published: December 2022

Abstract
Fertilisers and pesticides are increasingly used in agriculture to improve productivity and protect crops from fungi and insects. However, these farm inputs may lead to adverse effects on aquatic biodiversity through eutrophication and pesticide toxicity. This study aimed to establish the effects of nutrient-only, pesticide-only, combined nutrients and pesticides, and control on the abundance of Daphnia magna, and algal biomass. In each of the treatments, different concentrations of nutrients and pesticides residues were added separately or in combination. Responses were measured every 24 hrs, and the experiments ended after 168 hrs of exposure. The experiment was set in four concentration treatments comprising high, moderately high, moderately low, and low concentrations. Data analysis was done using Multiple Analysis of Variance (MANOVA)and ANOVA to determine the effect of time, concentrations and the interaction of time and concentrations for each of the treatments on D. magna abundance, and algal biomass. Higher concentrations of pesticide additives were associated with lower abundance of D. magna, and higher algal biomass over the exposure periods. There was a significant reduction in the abundance of D. magna in the combined treatment indicating the toxic effect of pesticide addition. Determination of effect concentrations based on combined nutrients-pesticides experiments becomes important in setting water quality standards, and monitoring the quality status, to avoid underestimating the ecological implications of combined contamination.
Cisplatin treatment reduces vasoconstriction to angiotensin II associated with altering expression of angiotensin type II receptors
Authors: McSweeney Kristen Renee , Gadanec Laura Kate , Kubatka Peter , Caprnda Martin , Gaspar Ludovit , Prosecky Robert , Delev Delian , Kruzliak Peter Kruzliak Peter , Apostolopoulos Vasso , Zulli Anthony 
Published: December 2022

Abstract
The renin angiotensin system is a key regulator of blood pressure homeostasis. Angiotensin type 1 (AT1R) and 2 receptors (AT2R) have been investigated as targets for cisplatin-induced acute kidney injury; however, their therapeutic potential remains inconclusive. We determined the effect that acute cisplatin treatment had on angiotensin II (AngII)-mediated vasoconstriction in blood vessels and expression profiles of AT1R and AT2R in mouse arteries and kidneys. 18-week-old male C57BL/6 mice (n = 8) were treated with vehicle or bolus dose of cisplatin (12.5 mg/kg). Thoracic aorta (TA), adnominal aorta (AA), brachiocephalic arteries (BC), iliac arteries (IL) and kidneys were collected for isometric tension analysis and immunohistochemistry analysis. Cisplatin treatment reduced IL vasoconstriction to AngII at all doses; AngII [10-8.0 M] (vehicle: 19.61 3.49 % vs. cisplatin: 0.43 0.09 %, ** p < 0.01) to AngII [10-5.0 M] (vehicle: 27.57 3.22 % vs. cisplatin: 3.26 1.26 %, *** p < 0.001); but did not induce constriction in TA, AA or BC after vehicle or cisplatin treatment. Following cisplatin treatment AT1R expression was significantly upregulated (arbitrary units) in the IL vessels when compared to the TA (IL: 0.014 ± 0.004 vs TA: 0.0013 ± 0.0006, * p < 0.05) and the AA (IL: 0.014 ± 0.004 vs AA: 0.0014 ± 0.0008, * p < 0.05). AT2R expression was downregulated in the media of cisplatin treated IL vessels compared to both TA (IL: 0.0223 ± 0.0052 vs TA: 0.072 ± 0.005, *** p < 0.001) and AA IL: 0.022 ± 0.005 vs AA: 0.060 ± 0.002, ** p < 0.01). AT1R (vehicle: 0.003 0.001 vs cisplatin 0.019 0.002, ** p < 0.01) and AT2R (vehicle: 0.016 0.004 vs cisplatin 0.037 0.004, * p < 0.05) in renal tubules were both upregulated following cisplatin treatment. Herein we report that cisplatin reduces AngII mediated vasoconstriction in IL. This accompanied by an absence of normal counterregulatory expression of AT1R and AT2R, indicating other factors are involved.
Ultrathin Cellulose Nanofiber Reinforced Ti3C2Tx Crosslinked hydrogel for Multifunctional and Sensitive Sensors
Authors: Wu Kangjie , Chen Xiao , Wang Qing , Xu Xuran , Yu Chao , Chen Chuanxiang 
Published: December 2022

Abstract
Multifunctional strain sensors simultaneously satisfy all the requirements including flexibility, stretchability, biocompatibility and high responsibility to external stimuli are always in high demand for wearable electronics. In this work, we introduced modified bacterial cellulose nanofibers (BCNF) as double network hydrogel-reinforced substrates to prepare MXene-based strain sensor (MPCB). The well-percolated BCNF play important role to reinforce the polymer skeleton and induce the continuous MXene-MXene conductive paths. Consequently, the electrical conductivity was significantly improved and excellent mechanical properties were retained (with the elongation at break over 500%). The prepared hydrogel can act as a wearable sensor for human motion detection, including swallowing movements, finger bending, and wrist bending. They also exhibit promising applications with multiple characteristics, i.e., ideal EMI, adjustable flexibility, self-healing and self-adhesive performance. Our work provides a simple and practical strategy for a new generation of wearable electronic sensor devices.
A novel multi-model neural network for Parkinson’s Disease detection
Authors: ALJOHANI ABEER , ALHARBE NAWAF 
Published: December 2022

Abstract
Parkinson’s Disease (PD) is categorized as a neurodegenerative progressive disease caused by the destruction of the cells in the substantia nigra. Roughly out of 1000 elderly people, 1 to 2 suffers from PD and its complication. Complications of PD disease involved tremors, rigidity, impaired balance, etc. These complications affect the routine life of Parkinson’s patients. Accurate PD detection helps the healthcare system treat these complications properly. This research proposes a multi-modal emotion recognition technique for PD detection. Since the proposed methods used more than one modality for detection , its architecture had composed of three main sections. These sections are: feature extracting, merging, and classifying. As feature extractors, a combination of Convolutional Neural Network (CNN) attention mechanisms is developed to extract features from pictures. To extract features from related electronic healthcare features combination between CNN and Long-Short Term Memory is used Finally, Random Forest (RF), Logistic Regression (LR), Support Vector Machine (SVM), Extreme Boot Classifier (XGB), and voting classifier are used as classification. A Parkinson’s disease handwriting database is used to evaluate the proposed model. The experimental result indicates 99.95% accuracy, 99.99% precision, 99.98% sensitivity, and 99.95% F1-score using the proposed fusion technique and voting classifier. The comparative result indicates state-of-the-art results for PD detection.
A Bifactor Model Supports Unidimensionality of the IKDC in Young Active Patients with ACL Tears: A Retrospective Analysis of a Randomized Controlled Trial
Authors: Marmura Hana , Tremblay Paul F , Getgood Alan MJ , Bryant Dianne M 
Published: December 2022

Abstract
Background
The International Knee Documentation Committee Subjective Knee Form (IKDC) is the most highly recommended patient reported outcome measure for assessing patients with anterior cruciate ligament (ACL) injuries and following ACL reconstruction (ACLR) surgery. The IKDC was developed as a unidimensional instrument, however the structural validity of the IKDC has not been definitively confirmed for the young athletic ACL population. The purpose of this study was to determine the most appropriate structure of the IKDC in young active patients with ACL injury.
Methods
In total, 618 young patients deemed at high risk of graft rupture were randomized into the Stability trial. Of the trial participants, 606 patients (98%) completed a baseline IKDC questionnaire used for this analysis. A cross sectional retrospective secondary data analysis of the Stability 1 baseline IKDC data was completed to assess the structural validity of the IKDC using exploratory and confirmatory factor analyses. Factor analyses were used to test model fit of the intended unidimensional structure, a previously proposed two-dimensional structure, and an alternative bifactor structure (i.e., a combination of a unidimensional factor with additional specific factors) of the IKDC, in a dataset of young active ACL patients.
Results
The simple unidimensional and two-dimensional structures of the IKDC displayed inadequate fit in our dataset of young ACL patients. A bifactor model provided the best fit. This model contains one general factor (symptoms, function, and sports activity) that is strongly associated with all items, plus four secondary, more specific content factors (symptoms, activity level, activities of daily living, and sport) with generally weaker associations to subsets of items. The bifactor model supports unidimensionality of the IKDC when covariance between items with similar linguistic structure, response options, or content are acknowledged.
Conclusions
Overall, findings of a bifactor model with evidence of a reliable general factor well defined by all items, lends support to continue interpreting and scoring this instrument as unidimensional. Clinically, the IKDC can be represented by a single score for young active patients with ACL tears. A more nuanced interpretation would also consider secondary factors such as sport and activity level.
Trial registration:
The STABILITY 1 study for which these data were collected was registered on ClinicalTrial.gov (NCT02018354).