bluuebunny/crossref_metadata_2025_split huggingface dataset:
Systemic defense induced by fatty acid compounds from marine macroalgae, Chaetomorpha antennina in tomato (Solanum lycopersicum) plants alters the susceptibility of the polyphagous agricultural pest, Spodoptera litura Fab
Authors: Muthu-Pandian Chanthini Kanagaraj , Rajan Pandian Kirupaanntha , Deva-Andrews Arulsoosairaj , Senthil-Nathan Sengottayan 
Published: August 2023

Abstract
Background
Seaweeds contain a widespread range of fatty acids (FA), and several of them have potential bioactivity. FAs are dynamic members of all biota, as well as being acknowledged for their critical function in initiating phytohormone interactions and acting as important participants in many defence signalling pathways of the plant system. The current study looks at the defense-eliciting potentials of fatty acids from the green seaweed Chaetomorpha antennina and their impact on the polyphagous insect pest Spodoptera litura (Fab).
Results
The seaweed was detected with 19 fatty acids, with larger proportion of hexa and octadecanoic and linoleic acids. The algal fatty acid compounds (CFA) was successful in eliciting salicylic acid and phenolic compounds biosynthesis along with enzymes peroxidase (PO) and polyphenol oxidase (PPO). The defense enzymes and phenol levels increased post infestation with S. litura. CFA was also effective in causing direct mortalities to the larvae (II-V instars). S. litura larvae exposed to elicited tomato plants were severely affected physiologically and morphologically, displaying visible aberrations as well as morphogenetic defects such as altered larval-pupal duration and biomass. Reproductive performances of adults were also severely affected. Decrease in food utilization, nutritional indices with a corresponding decrease in phosphatase and gut enzymes affirm feeding deterrence of the larvae, which was endorsed by histological analysis of midgut cell disruption of exposed larvae. Detoxification enzyme levels of exposed larvae denote the inability of larval immune system to evade harmfulness of CFA.
Conclusion
Hence, the study finally confirms the elicitor potentials of fatty acid compounds from C. antennina, by inducing natural systemic defences. This investigation unlocks novel forecasts besides delivering an unconventional method for crop protection to moderate or interchange the solicitation of chemical pesticides.
Pancreatic cancer cell-derived exosomes promote nerve invasion by regulating the NGF/TrkA pathway
Authors: Wu Sihui , Huang Wenkang , Zhou Xulin , Wu Yuting , Xu Min 
Published: August 2023

Abstract

Objective To investigate the effect of pancreatic cancer cell-derived exosomes on the function of neurogenic cells and the role of NGF/TrkA signaling pathway, and to study the related mechanisms. Methods The exosomes of Panc02 cells were extracted by polymer precipitation method, and identified by transmission electron microscopy, particle size analysis and Western blot. Exosomes were co-cultured with RSC cells and PC-12 cells. The proliferation ability of the cells was detected by CCK8 assay and plate cloning assay. The migration ability of the cells was detected by Transwell assay and cell scratch healing assay. RSC cells and PC-12 cells were co-cultured with exosomes or TrkA inhibitor GW441756, and the changes of NGF/TrkA expression levels in neurogenic cells were detected by Western blot assay, and then the changes of cell proliferation and migration ability were detected by relevant experiments. Western blot assay was used to detect changes in the expression levels of neuroinvasion-related proteins, epithelial mesenchymal transformation (EMT) related proteins and AKT/mTOR pathway proteins in neuro-derived cells. Results The exosomes of Panc02 cells of pancreatic cancer were extracted successfully. CCK8 assay and plate cloning assay showed that Panc02 exosomes significantly enhanced the proliferation ability of neurogenic cells, Transwell assay and cell scratch healing assay showed that Panc02 exosomes significantly enhanced the migration ability of neurogenic cells. Western blot analysis showed that Panc02 exosomes up-regulated NGF/TrkA expression, TrkA inhibitor GW441756 down-regulated NGF/TrkA expression and inhibited the proliferation and migration of neural cells, while Panc02 exosomes reversed the inhibitory effect of TrkA inhibitor GW441756. After co-culture with exosomes, neuro-invasion-related proteins were upregulated, EMT capacity was enhanced, and AKT/mTOR pathway was activated and phosphorylated. Conclusion Pancreatic cancer cell derived exosomes promote the proliferation, migration and invasion of neurogenic cells by up-regulating NGF/TrkA activated AKT/m-TOR pathway.
Natural variance in executive function components by pubertal timing in neurotypical population of females
Authors: Gerván Patrícia , Oláh Gyöngyi , Utczás Katinka , Tróznai Zsófia , Berencsi Andrea , Gombos Ferenc , Kovács Ilona 
Published: August 2023

Abstract

We have shown recently that biological age assessed by skeletal maturity is positively associated with specific cognitive abilities in a cohort of adolescent girls. Here we report executive function components assessed by the Numerical Stroop test of 107 female participants from the same cohort. We have disentangled the effect of chronological and biological age (bone age) on inhibition and task switching by analyzing the performance with varying task requirements. Both chronological and biological age had an effect on the performance in all analyzed conditions. Chronological age had an independent effect on inhibition, however, no independent effect of biological age was present. However, we did not find an independent effect of chronological or biological age related to switching. When the successful completion of tasks required the simultaneous engagement of two executive components, we observed that both chronological and biological age had independent effects. This suggests that higher biological maturity, alongside chronological age, is associated with more successful performance in tasks with a higher cognitive load. Our study highlights the interplay between chronological and biological age in executive function development, where the effects of pubertal maturation become more apparent when simultaneous operation of multiple cognitive processes is required for task completion.
Evaluating the impact of graphene oxide nanoparticles on enhancing heat transfer characteristics within the indirect heat exchanger of a natural city gate station
Authors: Khouri Omid , Goshayeshi Hamid Reza , Nami Shamin Hosseini , Mousavi Seyed Borhan , Heris Saeed Zeinali , Chaer Issa 
Published: August 2023

Abstract
In this study, the heat transfer characteristics within the heat exchanger using water-based GO nanofluids were comprehensively assessed. An apparatus was constructed by scaling down an industrial heat exchanger. The nanofluid’s thermal conductivity, specific heat capacity, viscosity, density, Prandtl number, and Nusselt number were examined at varying temperatures and GO nanoparticle concentrations. The results revealed that the thermal conductivity of the nanofluid increased with both temperature and nanoparticle concentration, reaching its peak value of 0.380 W.m− 1. K− 1 at 85°C and 0.1%wt, leading to enhanced heat transfer rates through conduction and convection mechanisms. The specific heat capacity increased with temperature but decreased with higher GO nanoparticle contents, with a maximum value of 3403.821 J.kg− 1. K− 1 was recorded at 40°C and 0.01%wt. The viscosity of the nanofluid increased with higher concentrations of GO nanoparticles, and the minimum value of 0.83 mpa.s was observed at 85°C and 0.01%wt. The Prandtl number decreased with temperature but increased with increasing GO nanoparticles concentration, suggesting a transition from convective to conductive heat transfer. A newly derived correlation equation for the Nusselt number, Nu = 0.0059(1 + 7.62φ0.6886)Pe0.001Re0.9238Pr0.4, allows predicting heat transfer enhancement in nanofluids. The findings emphasize the potential of nanofluids for improving heat exchanger performance and offer valuable insights for optimizing nanofluid applications in thermal systems.
Improved P&amp;O-MPPT strategy based on new design of small-signal model used for voltage regulation of solar
Authors: Bechouat Mohcene , Sedraoui Moussa , Doghmane Hakim , Bourouba Houcine , Amieur Toufik , Sofiane Gherbi 
Published: August 2023

Abstract
This paper proposes a new design of small-signal model, used in the voltage loop of a solar system. The internal functioning of this system is considered fully unknown at standard test condition (STC) where a corresponding model is completely unavailable. The main idea consists on considering the nonlinear solar system behavior as a black box and only corresponding input-output samples are previously recorded by user. These samples are employed to estimate the parameters of a desired linear small-signal model, in which a first Graphical User Interface (GUI) of Matlab®/Identification/Toolbox™ is used. As the step-procedure needed to design this model type has never been addressed in any previous work, it will highlight therefore the key contribution of this paper. Subsequently, the resulting previous model is then used to synthesize a voltage PID controller where their parameters are tuned using guidelines, available in a second GUI of Matlab®/Control/Toolbox™. It allows overcoming perfectly the inherent ripple problems of standard the maximum power point tracking (MPPT) strategy utilizing the direct implementation of the perturb and observe (P&O) algorithm. As the combination of previous strategy with the synthetized voltage PID controller highlights the improved P&O-MPPT strategy. Indeed, the performances of both standard and improved P&O-MPPT strategies are compared where the simulation results prove the superiority of the improved P&O-MPPT control strategy over the standard one in terms of trade-off between the MPP tracking in steady state and the MPP speed convergence in transient state where any existing ripple problems are completely solved.
Investigation into Common Gene Signatures and Molecular Mechanisms Linking Aortic Dissection and Arteriosclerosis
Authors: Li Changying , Ran Haoyu , Luo Jun , Zhang Cheng , Wu Qingchen , Shao Yue , Shi Haoming 
Published: August 2023

Abstract

Aortic Dissection is a life-threatening vascular condition that occurs suddenly and is linked to various diseases. The primary objective of this research is to examine the overlapping genes and plausible molecular mechanisms associated with both aortic dissection and arteriosclerosis. From the GEO database, we obtained expression chip data GSE52093 and GSE28829, which are associated with aortic dissection (AD) and atherosclerosis (AS). By employing analysis of differential gene expression, we were able to identify the genes that are commonly shared by both diseases. Afterward, we utilized a PPI network and conducted a Cytoscape analysis, resulting in the identification of 9 central genes. Additionally, we performed a module-trait analysis using the GSE52093 and GSE28829 datasets, employing the WGCNA method, which led to the discovery of crucial genes linked to both conditions. The accuracy of the findings was confirmed through the utilization of independent datasets and real-time quantitative fluorescence PCR. Through PPI and WGCNA analysis of expression chip data GSE52093 and GSE28829 of AD and AS, we finally determined CNN1 and MYO1F as intersection genes. In RT-qPCR validation, the expression of CNN1 was consistent with our analysis results. Surprisingly, the expression of MYO1F did not show any statistically significant difference. However, the single-gene GSEA enrichment analysis revealed a noteworthy finding: CNN1 was significantly enriched in the CYTOSOLIC_DNA_SENSING_PATHWAY pathway for both AD and AS. Through this research, we have identified promising biomarker genes that are linked to both AD and AS diseases. Additionally, we have uncovered intricate molecular mechanisms and pathways associated with these conditions. These findings offer novel perspectives for advancing research and treatment approaches for both diseases.
Explainable Active Learning for Preference Elicitation
Authors: Cantürk Furkan , Aydoğan Reyhan 
Published: August 2023

Abstract

Gaining insights into the preferences of new users and subsequently personalizing recommendations necessitate managing user interactions intelligently, namely, posing pertinent questions to elicit valuable information effectively. In this study, our focus is on a specific scenario of the cold-start problem, where the recommendation system lacks adequate user presence or access to other users' data is restricted, obstructing employing user profiling methods utilizing existing data in the system. We employ Active Learning (AL) to solve the addressed problem with the objective of maximizing information acquisition with minimal user effort. AL operates for selecting informative data from a large unlabeled set to inquire an oracle to label them and eventually updating a machine learning (ML) model. We operate AL in an integrated process of unsupervised, semi-supervised, and supervised ML within an explanatory preference elicitation process. It harvests user feedback (given for the system's explanations on the presented items) over informative samples to update an underlying ML model estimating user preferences. The designed user interaction facilitates personalizing the system by incorporating user feedback into the ML model and also enhances user trust by refining the system's explanations on recommendations. We implement the proposed preference elicitation methodology for food recommendation. We conducted human experiments to assess its efficacy in the short term and also experimented with several AL strategies over synthetic user profiles that we created for two food datasets, aiming for long-term performance analysis. The experimental results demonstrate the efficiency of the proposed preference elicitation with limited user-labeled data while also enhancing user trust through accurate explanations.
Siamese tracking network with multi-attention mechanism
Authors: Xu Yuzhuo , Li Ting , Zhu Bing , Wang Fasheng , Sun Fuming 
Published: August 2023

Abstract

Object trackers based on Siamese networks view tracking as a similarity-matching process. However, the correlation operation operates as a local linear matching process, limiting the tracker's ability to capture the intricate nonlinear relationship between the template and search region branches. Moreover, most trackers don't update the template, and often use the first frame of an image as the initial template, which will easily lead to poor tracking performance of the algorithm when facing instances of deformation, scale variation and occlusion of the tracking target. To this end, we propose a Simases tracking network with multi-attention mechanism, including a template branch and a search branch. To adapt to changes in target appearance, we integrate dynamic templates and multi-attention mechanism in the template branch to obtain more effective feature representation by fusing the features of initial templates and dynamic templates. To enhance the robustness of the tracking model, we utilize a multi-attention mechanism in the search branch that shares weights with the template branch to obtain multi-scale feature representation by fusing search region features at different scales. In addition, we design a lightweight and simple feature fusion mechanism, in which the Transformer encoder structure is utilized to fuse the information of the template area and search area, and the dynamic template is updated online based on confidence. Experimental results on publicly tracking datasets show that the proposed method achieves competitive results compared to several state-of-the-art trackers.
Health Professionals’ Experience and Perceived Obstacles with Managing Patients’ Medication Information in Norway: Cross-Sectional Survey
Authors: Wang Bo , Manskow Unn Sollid 
Published: August 2023

Abstract

BackgroundAccess to correct and up to date medication information is crucial for effective patient treatment. However, persistent discrepancies exist. This study examines the experiences and challenges health professionals encounter while utilizing current digital solutions in the Norwegian healthcare system to manage patients' medication information.MethodsA cross-sectional descriptive analysis using quantitative survey data was conducted to investigate how health professionals managed patients’ medication information. Content analysis was used to analyze free-text responses concerning challenges they encountered when transferring medication information and to identify factors deemed necessary for implementing the shared medication list in Norway.ResultsA higher percentage of doctors (72.2%) expressed concerns regarding obtaining accurate and updated medication lists than nurses (42.9%), particularly for patients with polypharmacy (35.3%) or transitioning between primary and specialist care services (27.6%). The patient's verbal information was the main source for hospital doctors (17%) to obtain an overview of the patient’s medication usage, while general practitioners (19%) and nurses (working in both primary and specialist care services, 28% and 27% respectively) predominantly relied on electronic prescriptions. Doctors, in particular general practitioners, reported carrying excessive responsibilities in coordinating with other health actors (84.8%) and managing patients' medication information. The vast majority of doctors (84.4%) and nurses (82.0%) supported the idea of a shared medication list but desired a more equitable distribution of responsibility for updating and managing patients' medication information (doctors: 36.3%, nurses: 29.8%), while ensuring compatibility with existing digital systems (doctors: 31.5%, nurses: 8.5%).ConclusionsFragmented resources for medication information and unclear responsibilities were prevalent concerns among both professional groups. Doctors voiced more concern than nurses about the accuracy of patients’ medication list. While both groups are positive about a shared medication list, successful implementation requires proactive training initiatives, a clearer role clarification, and engaging patients for ensuring correct and up to date medication list, as well as safer patient management. Trail registration: Not applicable.
Artificial neural networks for performance prediction of full-scale wastewater treatment plants: a systematic review
Authors: Dantas Marina Salim , Christofaro Cristiano , Oliveira Sílvia Corrêa 
Published: August 2023

Abstract

Wastewater treatment plants (WWTPs) are complex systems that must maintain high levels of performance to achieve adequate effluent quality to protect the environment and public health. Artificial intelligence and machine learning methods have gained attention in recent years for modeling complex problems, such as wastewater treatment. Although artificial neural networks (ANNs) have been identified as the most common of these methods, no study has investigated the development and configuration of these models. We conducted a systematic literature review on the use of ANNs to predict the effluent quality and removal efficiencies of full-scale WWTPs. Three databases were searched, and 44 records of the 667 identified were selected based on the eligibility criteria. The data extracted from the papers showed that the majority of studies used the feedforward neural network model with a backpropagation training algorithm to predict the effluent quality of plants, particularly in terms of organic matter indicators. The findings of this research may help in the search for an optimum design modeling process for future studies of similar prediction problems.
Intercellular Interactions Mediated by HGF And TGF-Β Promote the 3D
Spherical and Xenograft Growth of Liver Cancer Cells
Authors: Peng Zheng , Lv Xiaolan , Zhang Pengfei , Chen Qiao , Zhang Hongyu , Chen Jianlin , Ma Xingxuan , Ouyang Bohui , Hao Meng , Tong Haibo , Guo Dongwei , Luo Yi , Huang Shigao 
Published: August 2023

Background:
Recently, the importance of the interactions between liver cancer cells and
fibroblasts has been increasingly recognized; however, many details remain to be explored

Methods:
In this work, we first studied their intercellular interactions using conditioned medium
from mouse embryonic fibroblasts (MEFs), then through a previously established coculture model.

Results:
Culturing in a conditioned medium from MEFs could significantly increase the growth,
migration, and invasion of liver cancer cells. The coculture model further demonstrated that a positive
feedback loop was formed between transforming growth factor-β (TGF-β) from HepG2 cells
and mHGF (mouse hepatocyte growth factor) from MEFs during coculture. In this feedback loop,
c-Met expression in HepG2 cells was significantly increased, and its downstream signaling pathways,
such as Src/FAK, PI3K/AKT, and RAF/MEK/ERK, were activated. Moreover, the proportion
of activated MEFs was also increased. More importantly, the growth-promoting effects caused
by the interaction of these two cell types were validated in vitro by a 3D spheroid growth assay and
in vivo by a xenograft mouse model.

Conclusion:
Collectively, these findings provide valuable insights into the interactions between fibroblasts
and liver cancer cells, which may have therapeutic implications for the treatment of liver
cancer
Research Progress of Tamarixetin and its Glycosides
Authors: Li Cunbing , Tao Mengxin , Li Tingting , Huang Xiaofen , Sui Hong , Fu Xueyan 
Published: August 2023

Abstract:Tamarixetin and its glycosides are widely distributed in natural plants, and they are also natural flavonoid derivatives of quercetin. Its main pharmacological effects include antioxidant, antiinflammatory, antiviral, anticancer, cardiovascular effects, etc. The pharmacokinetics showed that the distribution of direct absorption differed from that of biosynthesis. At the same time, research shows that tamarixetin is safe to use because it has little self-toxicity. In this paper, 181 articles on tamarixetin published from 1976 to 2023 are obtained from PubMed, China Knowledge Base Database, Wanfang Data, and other electronic databases. Tamarixetin is searched based on keywords, and 121 articles remain. Transformation synthesis, pharmacokinetics, pharmacological action, and structureactivity relationship of tamarixetin were reviewed.