bluuebunny/crossref_metadata_2025_split huggingface dataset:
Uncovering Active Ingredients and Mechanisms of Pholiota adiposa in the Treatment of Alzheimer's disease: A Study Based on Network Pharmacology and Bioinformatics
Authors: Ma Xiaoying , Huo Zhiming , Shi Mingwen , Zhang Peng , Yang Tao , Xiao Jun , Gong Na 
Published: May 2024

Abstract

Background
Pholiota adiposa is being studied for its health benefits in Alzheimer's disease, but the exact mechanism is unknown. We aim to identify active components using network pharmacology and Machine Learning to understand its effects on AD development through molecular docking and dynamics simulation.
Methods
Multiple databases and platforms, including TCMSP, CTD, SuperPred, SEA, GeneCards, Omim, STRING, and DAVID, were used to search for target protein interactions to treat AD. Gene enrichment analysis was done on the DAVID database, followed by GO and KEGG functional analysis on Hiplot. Potential targets were identified using degrees analysis in Cytoscape, and the Aging Atlas database was used to analyze genes related to aging among these potential targets.We used GEO databases to find treatment targets and performed molecular docking with AutoDock Vina. We used LASSO regression and random forest to identify main targets for AD treatment. Gromacs2022.3 was used for molecular dynamics simulations..
Results
Pholiota adiposa may affect multiple genes and proteins, including STAT3, PRKCA, NF-κB1, CDK1, TERT, CFTR, PIK3R1, HIF1A, ITGB1, ITGB3, HSP90AA1, MTOR, ESR1, PRKAA1, and RXRA. It may inhibit protein phosphorylation and play a role in neuron membrane formation and RNA polymerase II activity.KEGG data analysis revealed that Pholiota adiposa targets cancer pathways, hypoxia signaling, and PI3K-Akt signaling. Promising targets like STAT3, PRKCA, NF-κB1, and CDK1 were identified, along with TERT targets associated with aging.The results of machine learning show that STAT3 and NFKB1 serve as pivotal targets in the diagnosis of Alzheimer's disease.Molecular docking revealed that carnosol, carnosic acid, and clovane diol are key components in Pholiota adiposa's effectiveness against AD.Binding carnosol condensed STAT3 protein, reducing surface area and forming hydrogen bonds.
Conclusion
Network pharmacology and Machine Learning studies suggest Pholiota adiposa may help manage Alzheimer's disease by impacting pathways and signaling mechanisms, showing potential in addressing neurodegenerative disorders.
Impaired noise adaptation contributes to the speech intelligibility problems of people with hearing loss
Authors: Marrufo-Pérez Miriam I. , Fumero Milagros J. , Eustaquio-Martín Almudena , Lopez-Poveda Enrique A. 
Published: May 2024

Abstract

Understanding speech in noisy settings is harder for hearing-impaired (HI) than for normal-hearing (NH) people, even when speech is audible. This is often attributed to the hearing loss altering the neural encoding of temporal and/or spectral speech cues. Here, we investigated whether it may also be due to an impaired ability to adapt to the background noise. For 25 adult hearing-aid users with sensorineural hearing loss, speech reception thresholds (SRTs) were measured for natural and tone-vocoded words embedded in speech shaped noise (SSN). Stimuli were preceded or not by a 1-second adapting SSN precursor. Adaptation was calculated as the SRT difference between the two precursor conditions. Corresponding data for 28 NH listeners were taken from a previously published study. SRTs were worse for HI listeners, confirming that hearing loss diminishes access to speech acoustic cues. Furthermore, noise adaptation was negatively correlated with the age-controlled hearing loss both for natural (rho=-0.29, N=38, p=0.078) and vocoded (rho=-0.38, N=38, p=0.019) words. Impaired adaptation contributed up to 10% to the SRT loss of HI listeners. We conclude that HI listeners suffer from poorer speech in noise recognition not only because of their impaired access to speech acoustic cues but also because they are less able to adapt to the background noise.
Genome-wide analysis of the SWEET gene family and its response to powdery mildew and leaf spot infection in the common oat (Avena sativa L.)
Authors: Pan Yuanbo , Niu Kuiju , Miao Peiqin , Zhao Guiqin , Ju Zeliang , Chai Jikuan , Yang Junajuan , Cui Xiaoxing , Zhang Ran 
Published: May 2024

Abstract

The yield and nutritional quality of oats are usually inhibited by plant diseases such as red leaf, powdery mildew, and leaf spot. SWEETs (Sugars Will Eventually be Exported Transporters) are a newly discovered type of sugar transporter that play important roles in regulating plant growth and development, the abiotic stress response, and the interactions between plants and pathogens. However, members of the SWEET gene family and their roles in responding to biotic stresses have not yet been characterized in oats (Avena sativa). In this study, 13 AsSWEET genes were identified, distributed across nine chromosomes in the oat genome. They all were predicted to contain seven transmembrane regions. Phylogenetic analysis showed that AsSWEET proteins clustered into four clades and possessed high homology with SWEET proteins in the family Poaceae. AsSWEET proteins were predicted to localize to the plasma membrane. The promoter regions of the oat AsSWEET genes contained cis-acting elements related to light response, growth and development, and stress response. Furthermore, the expression patterns of AsSWEET genes in two oat varieties, 'Yanwang' and 'Mulesi', were analyzed after powdery mildew and leaf spot infections. The relative expression levels of the majority of AsSWEET genes were significantly up-regulated or down-regulated after infection with pathogens, including AsSWEET1a, AsSWEET1b, AsSWEET2b, AsSWEET3a, AsSWEET11, and AsSWEET16. These SWEETs are potential candidate genes for the response to diseases in oats. In conclusion, this study provides a theoretical basis for future research into the regulatory mechanisms of the AsSWEETs, particularly their roles in the resistance to powdery mildew and leaf spot, and may promote further enhancements to the molecular breeding of the oat.
The association between urinary levels of organic phosphorus insecticide exposure and subclinical thyroid disorders
Authors: Shen Yi , Xiong Dandan , Zhou Huijiao , Wang Xian , Zhao Tianliang , Li Xinjie , Sun Mengmeng , Yu Sihui , Huang Xueqi , Cao Shengkang , Liao Ning , Jiang Lihe , Chen Tao , Li Xiangzhi 
Published: May 2024

Abstract

Objective
Studies have shown that exposure to organophosphorus pesticides (OPPs) may disrupt thyroid endocrine function in animal models and in agroforestry practitioners, leading to subclinical hyperthyroidism (SHyper). However, the relationship between exposure to OPPs and SHyper in the general population remains unclear. This research aims to investigate the relationship between OPPs exposure and SHyper in the general population.
Methods
This was a cross-sectional study involving data from three cycles of the National Health and Nutrition Examination Survey (NHANES), which ultimately analysed 4779 participants who met the inclusion criteria. OPPs exposure was estimated by measuring urinary composition of two OPPs metabolites (3,5,6-trichloropyridinol and paranitrophenol). Logistic regression models were employed to assess the correlation between OPPs metabolites and SHyper. Subgroup analyses were conducted based on gender, age, and body mass index (BMI), and interactions with OPPs were investigated.
Results
The adjusted logistic regression model showed that p-nitrophenol (PNP) was significantly and positively correlated with SHyper. PNP was positively associated with SHyper in the third and highest quartile groups compared with patients in the lowest quartile. Subgroup analyses found that both OPPs metabolites were associated with SHyper in the elderly and in those with a BMI less than 25. In addition, PNP was significantly associated with SHyper in females and those with a BMI greater than 30. With respect to SHyper, there were interactions between metabolites of OPPs and BMI and between PNP and sex.
Conclusions
Our study suggests that exposure to PNP and 3,5,6-trichloropyridinol (TCPy) may increase the risk of SHyper, highlighting the potential role of exposure to OPPs in SHyper.
Spatial differences in intangible cultural heritage and the dislocation of tourism development: The case of Sichuan, China
Authors: Cheng Cai , Pu Lili 
Published: May 2024

Abstract

The living inheritance of intangible cultural heritage（ICH）has always been a research hotspot, and tourism is considered an important means of living inheritance of ICH. Taking Sichuan Province as an example, this paper analyses the spatial differences in ICH and its dislocation relationship with tourism development by using research methods such as nuclear density, resource superiority, the gravity model and the spatial dislocation index. The results show that from 2006 to 2020, the spatial agglomeration characteristics of ICH distribution were prominent, and the spatial distribution characteristics developed from "two-core multipoint" to "five-core multipoint". The differences in ICH dominance among cities and states decreased annually, the change trend of ICH dominance tended to flatten, and the equilibrium characteristics gradually became prominent. The space dislocation of the ICH centre of gravity, the tourism development centre of gravity and the geometric centre of gravity gradually shrank. The middle and high dislocation pattern of the "C" font between ICH and tourism development gradually formed. A region needs to combine local characteristics, constantly explore new paths to combine ICH and tourism development, and realize the benign interaction between ICH and tourism dynamic development.
Exploring self-reported visual function and vision-related anxiety in patients with RPGR-associated retinal degeneration
Authors: Gouveia Nuno , Chukwunalu Oluji , Oliveira Carolina , Alves C. Henrique , Silva Rufino , Murta Joaquim , Marques João Pedro 
Published: May 2024

Abstract

Variants in the retinitis pigmentosa GTPase regulator (RPGR) gene are responsible for the majority of X-linked retinitis pigmentosa cases, which not only affects male patients but also some heterozygous females. Vision-related disability and anxiety of patients with RPGR-associated retinal degeneration have never been explored before. This study aimed to evaluate self-reported visual function and vision-related anxiety in a Portuguese cohort of male and female patients with RPGR-associated retinal degeneration using two validated patient-reported outcome measures. Cross-sectional data of thirty-two genetically-tested patients was examined, including scores of the Michigan Retinal Degeneration Questionnaire (MRDQ) and Michigan Vision-related Anxiety Questionnaire (MVAQ). Patients were classified according to retinal phenotypes in males (M), females with male phenotype (FM), and females with radial or focal pattern (FRF). Both M and FM revealed higher rod-function and cone-function anxiety scores (p < 0.017). Most MRDQ disability scores were higher in M and FM (p < 0.004). Overall, positive correlations (p < 0.004) were found between every MRDQ domain and both anxiety scores. In RPGR-associated retinal degeneration, males and females with male phenotype show similar levels of increased vision-related anxiety and disability. Every MRDQ visual function domain showed a strong correlation with anxiety scores.
Lateral response analysis of root piles in multilayered soils based on transfer matrix method
Authors: Renyi Chen , Yin yonggao , He Min , Luo Xiaoguang 
Published: May 2024

Abstract

The response mechanism of root pile under horizontal load is still unclear. The present analytical model is established based on matrix transfer method to research the stress and deformation characteristics of root piles under horizontal loads, in which the influences of the root squeezing effect, pile-soil friction effect are taken into account, and the effective length of the root is studied in semi-infinite space soil. The deformation and mechanical response of the root pile were obtained by writing the response program on the MATLAB platform. The feasibility and reliability of the theoretical method were verified by experimental cases of root pile, even in the stage of large deformation. In a parametric study based on this numerical case, the existence of roots greatly improves the horizontal bearing capacity of root piles. The study shows that the horizontal bearing capacity of root piles increases along with the increase of the installation position of roots and the increase of the elastic modulus of soil. The lateral bearing capacity of root piles does not increase with the increase of root length, there should be one range value of length of roots.
Isoamyl alcohol and isobutanol production in sugarcane molasses fermentation in a microdistillery: pH, refrigeration, and supplementation effects
Authors: Santos Renan Atanázio dos , Almeida Yeda , Andrade Samara , Caldas Celso , Freitas Jonnathan , Costa Clara 
Published: May 2024

Abstract

Fusel oil, a blend of higher alcohols generated during fermentation, predominantly comprises isoamyl alcohol and isobutanol. Despite their adverse effects on distillation and ethanol quality, these alcohols find widespread use, notably in the fine chemical industry. Fusel oil quality and quantity vary due to multiple factors, including raw materials and fermentation conditions. This study aimed to investigate the effects of pH, refrigeration, and supplementation on isoamyl alcohol and isobutanol formation during molasses must fermentation in a microdistillery. The fermentations were conducted in batches that were fed with 25 °Brix must and 25% v/v commercial dry yeast for 10 hours. A complete 2³ factorial design was used to assess the effects of the studied factors and their interactions on the response variables: fermentation efficiency (nf), process efficiency (np), ethanol productivity (P), substrate-to-cell conversion factor (YX/S), isoamyl alcohol produced (A), isobutanol produced (B) and the A/B Ratio between these alcohols. Statistical analysis employed ANOVA and Tukey’s test. The results of the substrate-to-cell conversion factor (YX/S) indicated good yeast performance under different fermentation conditions. The interaction effects among the evaluated factors significantly influenced the formation of isoamyl alcohol and isobutanol, as well as the A/B Ratio.
A New Technology for Documentation Cultural Heritage with Fast, Practical, and Cost-Effective Methods IPAD Pro LiDAR and Data Fusion
Authors: Ulvi Ali , HAMAL SEDA NUR GAMZE 
Published: May 2024

Abstract

Digital documentation of cultural heritage has experienced significant growth in recent years, primarily due to technological advancements in computer science. Documentation studies rely on photogrammetry and laser scanning, which are becoming increasingly practical and efficient. However, since these data collection methods cannot always produce complete and complete data, data fusion is necessary to meet the requirements. For this study, three cultural heritage artifacts were selected. The documentation process used SfM-based photogrammetry and IPAD PRO LiDAR methods for practical, fast, and cost-effective data fusion. However, further research is needed to determine the usability of the IPAD PRO LiDAR method in documentation studies and to assess the accuracy and sensitivity of the data fusion. Statistical analyses were conducted to assess the advantages and disadvantages of IPAD PRO LiDAR scanning and to determine the accuracy of data fusion.
From the antioxidant and anticoagulant properties of myo–inositol to ex vivo vascular studies and GC–FID analysis
Authors: Rolnik Agata , Olas Beata , Szablińska–Piernik Joanna , Lahuta Lesław Bernard , Gromadziński Leszek , Majewski Michał 
Published: May 2024

Abstract

A potential protective effect of myo–inositol against pro–oxidant damage to human plasma and rat thoracic arteries has been demonstrated, suggesting that this nutraceutical agent plays a key role in the vasculature and may be beneficial for preventing harmful environmental effects. Aortic rings were isolated from aged (12–month–old) male Wistar rats and preincubated with myo–inositol (0.01–100 mg/L, 2 h). A stable thromboxane A2 analog was added (0.1 nM, 2 h) to analyze vascular dysfunction. The concentration of myo–inositol in the organ baths was determined via GC–FID. In another experiment, human blood plasma was subjected to H2O2/Fe2+ administration, and myo–inositol was added to analyze lipid and protein peroxidation processes. The hemostatic parameters were also studied. Myo–inositol (1–100 mg/L) administration protects proteins against oxidative stress, which modifies the vascular response. A dose above 100 mg/L additionally protected lipids and increased thrombin time.
Evaluating Feature Selection Methods for Macro-Economic Forecasting, Applied for Iran’s Inflation Indicator
Authors: goldani mahdi 
Published: May 2024

Abstract

This study explores various feature selection techniques applied to macro-economic forecasting, using Iran's World Bank Development Indicators. Employing a comprehensive evaluation framework that includes Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) within a 10-fold cross-validation setup, this research systematically analyzes and ranks different feature selection methodologies. The study distinctly highlights the efficiency of Stepwise Selection, Tree-based methods, Hausdorff distance, Euclidean distance, and Mutual Information (MI) Score, noting their superior performance in reducing predictive errors. In contrast, methods like Recursive Feature Elimination with Cross-Validation (RFECV) and Variance Thresholding showed relatively lower effectiveness. The results underline the robustness of similarity-based approaches, particularly Hausdorff and Euclidean distances, which consistently performed well across various datasets, achieving an average rank of 9.125 out of a range of tested methods. This paper provides crucial insights into the effectiveness of different feature selection methods, offering significant implications for enhancing the predictive accuracy of models used in economic analysis and planning. The findings advocate for the prioritization of stepwise and tree-based methods alongside similarity-based techniques for researchers and practitioners working with complex economic datasets.
Early ambulation after total knee arthroplasty: a retrospective single-center study
Authors: zhou guanjie , yao yao , shen ying , you xiaokang , zhang xiaofeng , xu zhihong 
Published: May 2024

Abstract

Purpose: Early ambulation is an important step in accelerating post-joint replacement surgery recovery. However, there is limited research on the populations who are unable to complete early walking in the early postoperative period. The purpose of this study was to determine the factors influencing early postoperative ambulation in total knee arthroplasty (TKA) patients.
Methods: primary TKA patients were included in this retrospective study. All patients were divided into two groups. Patients who began walking within 24 hours were categorized as the early ambulation (EA) group, while patients who began walking after 24 hours were classified as the late ambulation (LA) group. Recorded demographic data included age, gender, body mass index (BMI), clinical diagnosis, and comorbidities. Hematological parameters potentially affecting patients' preoperative physical condition were also documented. Additionally, intraoperative metrics such as surgical time, surgical side, tourniquet time, intraoperative blood loss, and the placement of drains were recorded.
Results: A total of 453 patients (79.0% female, 21.0% male) were included in this study. The average age of all patients was 68.5±7.9 years, ranging from 36 to 87 years, with an average BMI of 27.2±9.9 kg/m2. The mean postoperative ambulation time was 1.6 days, with a range of 0 to 4 days. In univariate group comparisons, an increase in postoperative time to ambulation was significantly associated with a history of heart disease (P＜0.001), stroke history (P=0.003), and prior surgeries (P=0.003). Patients who delayed ambulation also exhibited significantly higher coagulation-related parameters including PT (P＜0.001), APTT (P=0.002), TT (P=0.039) before surgery compared to those who mobilized early. Furthermore, prolonged surgical time (P= 0.030), increased intraoperative blood loss (P＜0.001), and the placement of intraoperative drains (P＜0.001) also significantly extended the time to postoperative ambulation. However, after multivariate logistic regression analysis, only PT (OR 1.86, 95%CI 1.32–2.61, P < 0.001), TT (OR 1.30, 95% CI 1.09-1.55, P=0.004) intraoperative blood loss (OR 1.01, 95% CI 1.00-1.01, P=0.008) and the placement of intraoperative drains (OR 11.39, 95% CI 6.59-19.69, P < 0.001) were identified as predictive factors for late ambulation in patients after TKA.
Conclusions: In this study, preoperative coagulation function, intraoperative blood loss and the placement of intraoperative drains were factors contributing to delay ambulation time. Therefore, it is believed that properly improving preoperative coagulation function, effective intraoperative hemostasis, and reducing the placement of drains have a positive impact on early postoperative ambulation in patients undergoing TKA.
Enhancing Analogy-based Software Cost Estimation using Gray Wolf Optimization Algorithm
Authors: Gandomani Taghi Javdani , Ansaripour Sadegh , Dashti Maedeh 
Published: May 2024

Abstract

Human effort is considered one of the most important factors for a better estimation of software development costs. Therefore, the cost of software product development is usually seen based on the amount of effort required for its development. Numerous methods and paradigms are provided for software project estimation. The analogy-based method is one of the simplest and most prevalent methods. There have been many attempts to improve this method, yet, it seems it still can be improved. This research aims to provide a novel model and make use of the gray wolf optimization algorithm inside the similarity function to enhance the analogy-based software development cost. The provided method is compared to four metaheuristic and evolutionary algorithms using four prominent datasets. The evaluation results according to the MMRE, MdMRE, and PRED (0.25) indicate the proposed method provides a higher precision in estimating the analogy-based software development cost.