bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Mean First-Passage Time and Stochastic Resonance of a Stochastic Tumor-immune Model via BPNN Method
Authors: Zhang Ying , Li Wei , Yang Guidong , Kirin Snezana 
Published: January 2023

Abstract
The Mean First-Passage Time (MFPT) and Stochastic Resonance (SR) of a stochastic tumor-immune model with noises perturbation are discussed in this paper. Firstly, considering environmental perturbation, Gaussian white noise and Gaussian colored noise are introduced into a tumor growth model under immune surveillance. As the follows, the long-time evolution of the tumor characterized by the Stationary Probability Density (SPD) and MFPT are obtained in theory on the basis of the Approximated Fokker-Planck Equation (AFPE). Herein the recurrence of the tumor from the extinction state to the tumor-present state is more concerned in this paper. A higher efficient algorithm of Back-Propagation Neural Network (BPNN) is applied in order to testify the correction of the theoretic SPD and MFPT. With the existence of weak signal, the functional relationship between Signal-to-Noise Ratio (SNR), noise intensities and correlation time is also studied. These results show that both multiplicative Gaussian colored noise and additive Gaussian white noise can promote the extinction of tumors, and the multiplicative Gaussian colored noise will lead to the resonance-like peak on MFPT curves, while the increasing intensity of additive Gaussian white noise will cause the minimum of MFPT. In addition, the correlation times are negatively correlated with MFPT. As for the SNR, we find the intensities of Gaussian white noise and Gaussian colored noise, as well as their correlation intensity will induce SR. Especially, SNR is monotonously increased in the case of Gaussian white noise with the change of the correlation time, however, SNR displays the point of inflection in other cases. At last, the optimal parameters in BPNN structure are analyzed for MFPT from three aspects: the penalty factors, the number of neural network layers and the number of nodes in each layer.
Investigating the Effects of Monarda Didyma L. Extract Supplementation on Biological Aging of Susceptible Population: A Randomized, Placebo Controlled, Double-Blind Parallel Study
Authors: Campisi Manuela , Cannella Luana , Baumann Julia , Pavanello Sofia 
Published: January 2023

Abstract
Background: Manipulations to decelerate biological aging and extend health span are major challenges for health given the social and healthcare costs of aging population. Excessive oxidative stress and inflammation are primary drivers in biological aging and age-related diseases. Didymin, a natural bioactive flavonoid and the major polyphenol of Monarda didyma L., has showed a crucial anti-inflammatory role. This clinical study aims to investigate the potential benefits of a 12-weeks supplementation of Monarda didyma L. extract on reducing / delaying the biological aging of a susceptible population of aging workers.
Methods: This is a randomized, placebo-controlled, double-blind, parallel design and monocentric pilot study. Study population will comprise 80 participants, aged 45-65 years, randomly allocated to both Intervention group (supplementation of Monarda didyma L. extract) and placebo control group (placebo supplementation) for a 12-weeks period of treatment. All study participants, who will be enrolled at the Occupational Medicine Unit – Azienda Ospedale Università of Padova providing a written informed consent, will undergo clinical examination, an interview with structured questionnaires (demographic data, lifestyle, information quality of life and sleeping patterns) and collection of fasting blood for evaluation of indicators of biological aging as primary outcomes (DNA methylation age, telomere length, mitochondrial DNA copy number), as well as secondary outcomes including basic biochemistry and inflammation markers (emocrome, glycemia, insulin, total cholesterol, low and high density lipoproteins, triglycerides, creatinine, telomerase expression, C-reactive protein, interleukin6, aspartate transaminase, alanine transaminase, gamma-glutamyl transferase) and salivary sample for cortisol analysis. Clinical examination and sample collection, to assess primary and secondary outcomes, will be performed at enrollment and at the follow up after of this treatment. Tracking of additional parameters (heart rate, sleep, mobility) will be performed along the study period by using a wearable MiBand 6 watch and a daily diary to determine compliance and record effects on stress, well-being and health status.
Discussion: The success of this research could represent a turning point in the healthy aging research, leading to rejuvenation by means of a sustainable and safe intervention, accessible to everybody in order to extend health span.
Trial registration: ClinicalTrials.gov PRS (NCT05399966), registration date: May 17, 2022.
https://clinicaltrials.gov/ct2/about-studies/learn#WhatIs
Efficacy and safety of treating acute hemoptysis using glue embolization: A retrospective observational study and comparison to the literature
Authors: Shamseldin Mohammed , Kluge Jörg , Bauer Jens-Uwe , Puls Ralf 
Published: January 2023

Abstract
Objective
A retrospective observational study of the short-term efficacy and safety of using glue embolization, namely n-butyl-2-cyanoacrylate (NBCA), in bronchial artery embolization (BAE) and comparison with the literature. The main aim of the study is to display the safety of this embolic material through standardization of interventional procedure for consideration of NBCA as a possible primary embolic agent in cases of BAE.
Material-and-Methods
A total of 37 BAE were performed in 33 patients with acute hemoptysis after failure of bronchoscopic therapy using NBCA. The mean age was 56 years with 22 male patients. Pre-interventional bronchoscopy and CTA were performed. In 35 cases, embolization was performed exclusively with NBCA. One patient in combination with coils and one with particles and coils. The 1:4 NBCA-to-Lipiodol mixture was most commonly used. Post-interventional bronchoscopy was performed after 24 hours.
Results
Technical success was possible in all cases. Clinical success was achieved in 94.6%. The mortality rate from hemorrhagic shock was 5.4%. A minor complication of temporary ischemia of the bronchial mucosa. No major complications. No reperfusion of the embolized vessel, however with rebleeding in four patients from different primarily not embolized bronchial arteries.
Conclusion
Despite previous concerns about its safety based on previous reports and in line with recent studies, we conclude that NBCA is a safe and effective embolic agent to perform BAE in cases of acute hemoptysis if performed according to a clear standard operating procedure as described with a possible superiority over embolic agents. Further blinded prospective comparative studies are necessary.
Apo- and holo- transferrin differentially interact with ferroportin and hephaestin to regulate iron release at the blood-brain barrier
Authors: Baringer Stephanie , Palsa Kondaiah , Simpson Ian A. , Connor James R. 
Published: January 2023

Abstract
Background: Apo- (iron free) and holo- (iron bound) transferrin (Tf) participate in precise regulation of brain iron uptake at endothelial cells of the blood-brain barrier. Apo-Tf indicates an iron deficient environment and stimulates iron release, while holo-Tf indicates an iron sufficient environment and suppresses additional iron release. Free iron is exported through ferroportin, with hephaestin as an aid to the process. Until now, the molecular mechanism of apo- and holo-Tf’s influence on iron release was largely unknown.
Methods: Here we use a variety of cell culture techniques, including co-immunoprecipitation and proximity ligation assay, in iPSC-derived endothelial cells and HEK 293 cells to investigate the mechanism of apo- and holo-Tf’s influence over iron release. We placed our findings in physiological context by further deciphering how hepcidin played a role in this mechanism as well.
Results: We demonstrate that holo-Tf induces the internalization of ferroportin through the established ferroportin degradation pathway. Furthermore, holo-Tf directly binds to ferroportin, whereas apo-Tf directly binds to hephaestin. Only pathological levels of hepcidin disrupt the interaction between holo-Tf and ferroportin, and no amount of hepcidin disrupts the interaction between apo-Tf and hephaestin. The disruption of the holo-Tf and ferroportin interaction by hepcidin is due to hepcidin’s ability to rapidly internalize ferroportin compared to holo-Tf.
Conclusions: These novel findings provide a molecular mechanism for apo- and holo-Tf regulation of iron release from endothelial cells. They further demonstrate how hepcidin impacts these protein-protein interactions, and offer a model for how holo-Tf and hepcidin corporate to suppress iron release. We have established a more thorough understanding of the mechanisms behind iron release regulation with great clinical impact for a variety of neurological conditions in which iron release is dysregulated.
Lake warming and increased heatwaves revealed by a novel data-driven modeling approach
Authors: Wang Xiwen , Shi Kun , Zhang Yunlin , Qin Boqiang , Zhang Yibo , Wang Weijia , Woolway Richard , Piao Shilong , Jeppesen Erik 
Published: January 2023

Abstract
Climate change could seriously threaten global lake ecosystems by warming lake surface water and increasing the occurrence of lake heatwaves. Yet, there are great uncertainties in quantifying lake temperature changes globally due to lack of accurate large-scale model simulations. Here, we integrated satellite observations and a numerical model to improve lake temperature modelling and to explore the multifaceted characteristics of trends in surface temperatures and lake heatwave occurrence in Chinese lakes from 1980 to 2100. Our model-data integration approach revealed that the lake surface waters have warmed at a rate of 0.11 °C decade-1 during the period 1980-2021, being only half of the pure model-based estimate. Moreover, our analysis suggested that an asymmetric seasonal warming rate has led to a reduced temperature seasonality in eastern plain lakes but an amplified one in alpine lakes. The durations of lake heatwaves have also increased at a rate of 7.7 days decade-1. Under the high-greenhouse-gas-emission scenario, lake surface temperature and lake heatwave duration were projected to increase by 2.2 °C and 197 days at the end of 21st century, respectively. Such drastic changes would worsen the environmental conditions of lakes subjected to high and increasing anthropogenic pressures, posing great threats to aquatic biodiversity and human health.
Systemic treatment with GnRH agonist produces antidepressant-like effects in LPS induced depression male mouse model
Authors: Xu Yang , Li Wei , Shi Mengmeng , Xu Xiaofan , Guo Dongmin , Liu Zhenghai , Chen Ling , Zhong Xiaolin , Cao Wenyu 
Published: January 2023

Abstract
Background
Neuroinflammation is considered as a key mediator of depression. Therefore, understanding the pathophysiological mechanisms by which neuroinflammation and depression are linked can benefit novel therapies. Gonadotropin-releasing hormone (GnRH) is at the head of the neuroendocrine reproductive axis. However, the non-reproductive functions of GnRH expressed in various tissues, including hippocampus, are still not known.
Methods
We combined viral tool, neuropharmacology, and behavioral tests in male mice to test whether GnRH affects neuroinflammation that mediates LPS induced depression-like behavior.
Results
Both systemic treatment with GnRH agonist and over-expression of endogenous hippocampal GnRH via viral tool abolished the depression-like behavior after LPS challenges in mice. Conversely, antagonizing GnRHR by drug treatment or by hippocampal GnRHR knockdown could block the antidepressant- effect of GnRH agonist. Interestingly, we found that the peripheral GnRH treatment prevented the microglia activation mediated inflammation in the hippocampus of mice.
Conclusion
We propose that, at least in the hippocampus, GnRH appears to act on GnRHR to regulate higher order non-reproductive functions associated with the microglia mediated neuroinflammation. These findings also provide insights into the function and cross-talk of GnRH, a known neuropeptide hormone, in neuro-immune response.
Characterization of the fragmented mitochondrial genome of domestic pig louse Haematopinus suis (Insecta: Haematopinidae) from China
Authors: Li Rong , Nie Yu , Fu Yi-Tian , Deng Yuan-Ping , Wang Wei , Ma Ping-Ping , Liu Guo-Hua 
Published: January 2023

Abstract
The domestic pig louse Haematopinus suis is found worldwide wherever pig is raised. This ectoparasite causes direct damage to their hosts and also acts as a vector of various infectious disease agents. Despite its significance, molecular genetics, biology and systematics of H. suis has not been studied in detail. Herein, the entire mitochondrial (mt) genome of H. suis from China was sequenced, characterized and compared with that of H. suis from Australia. We identified 37 mt genes located on nine circular mt minichromosomes in H. suis from China, with 2.9 kb-4.2 kb in size and contains 2–8 genes and one non-coding region (1,957 bp-2,226 bp). The number of minichromosomes, gene content, and gene order in the mt genomes of H. suis from China and Australia is identical. The identity of both mt genomes (except for non-coding regions) was 96.3% between H. suis from China and Australia. For the 13 protein-coding genes, sequence differences in each gene at both the nucleotide and amino acid were 2.8–6.5% and 0.5–5.3%, respectively. The present study determined the entire mt genome of H. suis from China that provides novel genetic markers for studying the molecular genetics, biology and systematics of sucking louse.
Analysis of the Identification value of multiparametric magnetic resonance imaging in HER-2 low expression versus HER-2-positive breast cancer
Authors: tan feiyi , zou ziqin , yang yu , huang yanfang 
Published: January 2023

Abstract
OBJECTIVE: To investigate the differential diagnostic value of magnetic resonance imaging (MRI) between HER-2 low expression and HER-2-positive breast cancer.
Methods:We retrospectively analyzed 52 cases of HER-2 low expression breast cancer and 26 cases of HER-2 positive breast cancer treated in our hospital from 2014-01-01 to 2022-04-12. The patients with breast cancer were first examined by MRI and later confirmed by pathological biopsy. The basic clinical case profiles and the characteristics of lesion-related MRI signs were statistically analyzed between the HER-2 low-expressing breast cancer group and the HER-2-positive breast cancer group.
RESULTS: The two groups showed statistically significant differences (P<0.05) in the maximum diameter of the mass (P=0.02), internal enhancement features (P=0.048), ADC values (P=0.001), and histological grading (P=0.001). The remaining clinicopathological and magnetic resonance features such as, age, mass distribution, mass morphology, mass margin and TIC curve type were not statistically different (P > 0.05). logistic multivariate regression model showed that: maximum mass diameter, ADC value and histological grade were independent predictors to distinguish between the two types of breast cancer, and mass diameter (≤2 cm) group (OR=0.306, P = 0.027), lower ADC values (OR=331.254, P=0.001), and lower histological grade (OR=5.001, P=0.001) were more likely to be HER-2 low expressing breast cancers. The ROC prediction model incorporating ADC values had good efficacy in discriminating the HER-2 low expression breast cancer group from the HER-2 positive breast cancer group with an area under the curve (AUC) of 0.691.
CONCLUSION: There are some differences between the tumor biological characteristics of patients in the HER-2 low expression breast cancer group and the HER-2 positive breast cancer group, and the use of histologic grading, ADC values, maximum diameter of the mass, and other clinical The use of clinical pathological and magnetic resonance features such as histological grading, ADC value, maximum diameter of the mass combined with logistic regression analysis and ROC curve to construct a prediction model can provide some help in the differentiation of the two.
Digital Business Reporting is a Key to Enhance Financial Reporting Quality – An XBRL Perspective
Authors: N ABHISHEK , L Ashoka M , Acharya Parameshwara , Divyashree M S 
Published: January 2023

Abstract
The efficient and effective communication of business and financial information to end-users helps to get clear insights on the business outlook and assists them in making timely decisions. Financial reporting acts as a vehicle to disseminate the financial information of the business to various interested parties by communicating operating and financial information through financial statements, notes to financial statements and other footnotes in the annual report. Nowadays stakeholders of the business are more expecting both financial and non-financial information to be communicated in a single annual report. Therefore, the corporate houses are required to communicate enhanced information in their annual reports to facilitate the stakeholders in their decision-making process. Communication of enhanced information in the annual report is only possible with the help of the EBR Model (Enhanced Business Reporting Model) which is only possible by the application of XBRL (Extensible Business Reporting Language) to the business reporting purpose. The present paper is intended to examine the impact of XBRL on the quality of financial reporting. For this purpose, the study analysed the financial reporting pattern of 23 select companies in India through the analysis of their annual reports from 2005 to 2020. To derive valid conclusions Tukey test, dummy variable regression analysis techniques were employed and concluded that XBRL has made a significant impact on the quality of financial reporting of select companies.
CRL4SlDDI3 regulates cell proliferation and organ size via targeting H3K9 methyltransferase SlDDI4 for degradation in tomato
Authors: Miao Min , Tang Xiaofeng , Gao Lanyang , Gao Jieyu , Wang Hongtao , Wang Songhu , Zhu Yunye , Niu Xiangli , Fan Youhong , Chen Yao , Li Yuxiang , Wang Anquan , Cao Shuqing , Fei Zhangjun , Giovannoni James , Xiao Fangming , Liu Yongsheng 
Published: January 2023

Abstract
Methylation of DNA and histone H3 at Lys 9 (H3K9) is tightly associated with transcriptionally silenced heterochromatin formation in eukaryotes. A number of proteins have been characterized in establishing both of these epigenetic marks at specific genome regions and maintaining them through cell division. However, post-translational regulation of these proteins is poorly understood. In this study, we identify two SlDDB1-interacting proteins (SlDDI3 and SlDDI4) antagonistically controlling cell proliferation via the ubiquitin-proteasome pathway in tomato. SlDDI3 is a WD40-repeat protein negatively involving cell proliferation and interacts with SlDDB1 and SlCUL4 to form CRL4SlDDI3 ligase complex, through which SlDDI4 is ubiquitinated for degradation. SlDDI4 is a H3K9 methyltransferase positively regulating cell proliferation and coordinates with a tomato homologue of DNA methyltransferase SlCMT3a to negatively regulate expression of target gene(s), through concurrent methylation of H3K9 and CNG DNA at the SlWEE1 gene, a negative regulator of cell cycle progression. Thus, our results reveal the mechanistic basis by which the CRL4 E3 ligase epigenetically regulates cell proliferation and organ/fruit size and structure via ubiquitination-mediated manipulation of the H3K9 methyltransferase.
Rural folk dance movement recognition based on an improved MCM-SVM model in wireless sensing environment
Authors: Xie Li 
Published: January 2023

Abstract
In order to improve the accuracy and timeliness of folk dance movement recognition, this paper proposes an improved MCM-SVM recognition model to recognize the lower limb human motion of ethnic dance in rural areas based on sensors. In order to recognize these actions, the SVM algorithm is used to identify the current action, and the MCM model is used to optimize the recognition result. The experimental results show that the proposed improved model achieves a higher recognition rate compared to the SVM algorithm for the recognition of different dance moves. The average recognition rate exceeds 93%, and the average recognition time is about 0.6 ms, which verifies the effectiveness of the proposed model. The proposed model will provide guidance and practicality for the design and construction of future dance movement recognition systems.
Characterization of the cutting power of the abrasive particles during titanium alloys abrasive water jet machining
Authors: Morisset Raphaël , BUI Hung Van , COHEN Guillaume , GREGOIRE Michel , GILLES Patrick 
Published: January 2023

Abstract
Abrasive waterjet machining is an unconventional process. It consists of using water under high pressure and abrasive particles to machine all materials. This process significantly limits the cutting forces and heat that can deform the part and degrade its mechanical characteristics. This is particularly true for very thin ones. The abrasive particles used are most often considered as a fixed parameter for this process and it is chosen according to the selected application. It is characterized by a size expressed in mesh and by their material, mainly garnet or alumina. The implicit assumptions are that all the particles have the same size and their composition is constant. In this paper, a characterization of different abrasive garnets is carried out in order to define their suitability for machining Titanium alloys. Machining tests are presented and their results are correlated with their properties.
Facile Conversion of Water to Functional Molecules and Interfacial Polymers with Efficient Clusteroluminescence
Authors: Song Bo , Zhang Jianyu , Zhou Jiadong , Qin Anjun , Lam Jacky , Tang Ben Zhong 
Published: January 2023

Abstract
Water is always used by nature to construct complex species. Learning from nature, the exploration of artificial approaches to utilize abundant water to synthesize functional molecules and polymers with efficient clusteroluminescence properties (CLgens) is highly significant but has yet to be reported. Herein, a new chemistry of water and alkyne was developed. The synthesized products were proved as nonaromatic CLgens that could emit visible light. Their emission colors and luminescent efficiency could be adjusted by manipulating through-space interaction via using different water and alkyne. Besides, the free-standing polymeric films with much high photoluminescence quantum yields (up to 45.7%) were in situ generated via a new H2O-involved interfacial polymerization. The interfacial polymerization-induced emission of the polymeric films was observed, where the emission red-shifted and efficiency increased when the polymerization time was prolonged. The synthesized polymeric film was also verified as a "Janus film". It exhibits a vapor-triggered reversible mechanical response which could be applied as a smart actuator. Thus, this work develops a new method to synthesize CLgens using water, builds a clear structure-property relationship of CLgens, and provides a novel strategy to in situ construct functional H2O-based polymeric films.