bluuebunny/crossref_metadata_2025_split huggingface dataset:
Accelerating MCM-41 One-Pot Synthesis Through Microwave Irradiation
Authors: Oliveira Marília R. , Barboza Yasmin T. , Silva Thauane S.L. , Rodríguez-Castellón Enrique , Egues Silvia M. , De Conto Juliana F. 
Published: August 2023

Abstract

MCM-41 silica is widely utilized in various applications due to its unique textural and structural properties. Nonetheless, the presence of residual surfactant after synthesis poses a challenge to its effective application. This study explores the utilization of microwave irradiation as a promising approach for the one-pot synthesis and surfactant removal (cetyltrimethylammonium bromide - CTAB) of MCM-41, offering a fast and efficient methodology. The synthesis of MCM-41 was achieved within 0.5 to 1 hour, at a temperature of 60 ºC in a microwave reactor (Discovery SP, CEM). The study investigates the structural, chemical, morphological, and surface characteristics of MCM-41, analyzing the influence of synthesis time on these properties. To extract CTAB, ethanol was employed as a solvent at a temperature of 120 ºC for 6 minutes using a microwave reactor. The obtained particles, as well as the characterized textural and structural properties, validate the efficiency of the synthesis process, resulting in the production of MCM-41 within 36 minutes. Notably, this study presents the first instance of one-pot synthesis and surfactant removal from MCM-41 using a microwave reactor.
On the path planning method of polishing tool based on the abrasive belt flap wheel
Authors: Chen Keyan , Dai Xing , Zhang Xiaojian , Liu Chao , Ding Han 
Published: August 2023

Abstract

In the process of blisk polishing, path planning is a crucial approach to ensure machining efficiency and enhance polishing accuracy. However, existing path generation software does not take into account the large elastic deformation of the polishing tool and cannot guarantee consistent residual error after the processing path. To address these problems, a special effective methodology is proposed for developing an abrasive belt flap wheel (ABFW) polishing path, enhancing the polishing quality and improving the blisk. To this end, we first establish a motion envelope surface of the ABFW. Then, based on the radial material removal depth model of the ABFW, the amount of material removal is obtained at each contact point. Additionally, the maximum error minimization method is employed to iteratively optimize the solution, obtaining the polishing path for constant residual error. In the experiments, we find that compared to the polishing path generated by commercial software, the optimized polishing path is capable of achieving lower surface residual error and better surface quality.
Tobacco Use, Perceptions, and Characteristics of Adults Who Use IQOS® in the United States: Findings from a Cross-Sectional Study
Authors: Cheng Hui G. , Noggle Brendan , Vansickel Andrea R. , Largo Edward G. , Magnani Pierpaolo , Heremans Annie 
Published: August 2023

Abstract
Background The smoke-free heated tobacco product IQOS® was introduced in the United States (US) in 2019 and authorized by the US Food and Drug Administration as a modified risk tobacco product (MRTP) in 2020. The aim of this study was to describe selected sociodemographic characteristics of adults who used IQOS® (AUI), tobacco use patterns relevant to IQOS® use (e.g., tobacco use history, exclusive and dual-use, switching from cigarette smoking, etc.), risk perceptions of IQOS®, and understanding of IQOS® MRTP messages among AUI.Methods The IQOS® cross-sectional Postmarket Adult Consumer Study was a study of AUI aged ≥ 21 years who were recruited from an IQOS® consumer database via direct mail and emails. Participants completed the online survey between September and November 2021.Results The survey was completed by 645 current and 43 former AUI who had used at least 100 Marlboro® HeatSticks® prior to the assessment. Of the 688 participants, 61% were male, 73% were non-Hispanic white, and the mean age was 45. The vast majority (99%) of AUI had ever smoked combusted cigarettes before first trying IQOS®. At the time of assessment, 49% were still smoking after an average of 1 year of IQOS® use. Among those, 83.6% smoked fewer cigarettes compared to before first trying IQOS®. Among all AUI, over 80% had never used a cessation treatment or had not used it in the past 12 months. Approximately 80% of AUI demonstrated correct understanding of the MRTP message.Conclusions This study is the first to provide evidence that IQOS® can help adult smokers in the US completely switch away from cigarettes or reduce smoking.
Transcriptomic Profiling of Early Synucleinopathy in Rats Induced with Preformed Fibrils
Authors: Patterson Joseph , Kochmanski Joseph , Stoll Anna , Kubik Michael , Kemp Christopher , Duffy Megan , Thompson Kajene , Howe Jacob , Cole-Strauss Allyson , Kuhn Nathan , Miller Kathryn , Nelson Seth , Onyekpe Christopher , Beck John , Counts Scott , Bernstein Alison , Steece-Collier Kathy , Luk Kelvin , Sortwell Caryl 
Published: August 2023

Abstract
Examination of early phases of synucleinopathy when inclusions are present, but long before neurodegeneration occurs, is critical to both understanding disease progression and the development of disease modifying therapies. The rat alpha-synuclein (α-syn) preformed fibril (PFF) model induces synchronized synucleinopathy that recapitulates the pathological features of Parkinson’s disease (PD) and can be used to study synucleinopathy progression. In this model, phosphorylated α-syn (pSyn) inclusion-containing neurons and reactive microglia (major histocompatibility complex-II immunoreactive) peak in the substantia nigra pars compacta (SNpc) months before appreciable neurodegeneration. However, it remains unclear which specific genes are driving these phenotypic changes. To identify transcriptional changes associated with early synucleinopathy, we used laser capture microdissection of the SNpc paired with RNA sequencing (RNASeq). Precision collection of the SNpc allowed for the assessment of differential transcript expression in the nigral dopamine neurons and proximal glia. Transcripts upregulated in early synucleinopathy were mainly associated with an immune response, whereas transcripts downregulated were associated with neurotransmission and the dopamine pathway. A subset of 29 transcripts associated with neurotransmission/vesicular release and the dopamine pathway were verified in a separate cohort of males and females to confirm reproducibility. Within this subset, fluorescent in situ hybridization (FISH) was used to localize decreases in the Syt1 and Slc6a3 transcripts to pSyn inclusion-containing neurons. Identification of transcriptional changes in early synucleinopathy provides insight into the molecular mechanisms driving neurodegeneration.
Quantification of immune and inflammatory response cells and beta-defensin-3 (hBD-3) expression in radicular cysts of primary and permanent teeth
Authors: Bertasso Amanda Silva , Esquiche Jorge , Jorge Olívia Santana , Silva Raquel Assed Bezerra da , Lucisano Marilia Pacífico , de Queiroz Alexandra Mussolino , Silva Evânio Vilela da , Silva Léa Assed Bezerra da , Filho Paulo Nelson 
Published: August 2023

Abstract
Objectives
To quantify mast cells, mature and immature plasmacytoid dendritic cells, mature and immature Tregs, cytotoxic T lymphocytes, and B lymphocytes, and hBD-3 expression in radicular cysts of primary and permanent teeth and to evaluate the relationship between radiographic lesion size and the intensity of hBD-3 staining.
Material and Methods
19 radicular cysts of primary teeth and 17 of permanent teeth were subjected to immunohistochemical analysis for quantification of immune and inflammatory response cells and for evaluation of hBD-3 and its relationship with the radiographic lesion size. The results were analyzed using D'Agostino & Pearson, Mann–Whitney, t-test, Kruskal–Wallis and Dunn's post-test, at 5% significance level.
Results
All the evaluated cell types were detected in all radicular cysts. Cysts of primary teeth showed higher expression of plasmacytoid dendritic cells (mature and immature), B lymphocytes, and T lymphocytes (p < 0.05), whereas those in permanent teeth showed higher expression of T lymphocytes, immature plasmacytoid dendritic cells, cytotoxic T lymphocytes, and B lymphocytes (p < 0.05). hBD-3 was expressed in primary teeth similarly in the capsule and epithelium (p > 0.05), whereas in permanent teeth the expression was higher in the capsule (p < 0.05). In primary teeth, hBD-3 expression in small lesions was higher than in large lesions (p < 0.05).
Conclusion
Immature plasmacytoid dendritic cells were the predominant cells in radicular cysts in primary teeth whereas T lymphocytes were more abundant in permanent teeth. hBD-3 was expressed in the epithelium/capsule in both primary and permanent teeth. In primary teeth, a direct relationship was observed between hBD-3 expression and radicular cyst size.
Clinical Relevance
The present study should provide a better understanding of radicular cysts, which would be useful for devising targeted treatment techniques and immunologically active materials for endodontic use.
Remediation of a Multi-metal Contaminated Soil under Quinoa Cultivation by Green Synthesized Zinc, Copper and Iron Nanoparticles
Authors: Zarrabi Amir , Ghasemi-Fasaei Reza , Ronaghi Abdolmajid , Zeinali Sedigheh , Safarzadeh Sedigheh 
Published: August 2023

Abstract

One of the sustainable approaches to remove heavy metals (HMs) is the use of green metal nanoparticles. In this study, zinc (Zn), copper (Cu) and iron (Fe) nanoparticles were prepared by green synthesis method as an environmentally friendly method using Arizona cypress leaf extract and nitrate salts of Zn, Cu, and Fe. The nanoparticles at two rates of 0.5 and 1% were added to a soil contaminated with 100 mg kg-1 of each Zn, nickel (Ni), lead (Pb) and cadmium (Cd) to investigate and compare their influence on the uptake of the HMs by quinoa. According to the results, the lowest shoot and root uptakes of all four HMs were observed following the application of Cu nanoparticles (1%). The lowest metal uptake belonged to Ni in shoot and Pb in roots which were 19.06 and 20.82 (μg pot-1), respectively. Most likely due to the lowest specific surface area observed (11.42 m2 g-1), the highest uptake of Ni, Pb and Cd by the plant was occurred after the application of Fe nanoparticles. Likewise, as a good accumulator, the quinoa was able to absorb considerable quantities of Ni in the root (144.94 μg pot-1) and Zn in the shoot (452.1 μg pot-1). The findings of this study showed that the synthesized Cu nanoparticles had the highest adsorption capability of HMs compared to other tested nanoparticles, which was most probably due to having the highest specific surface area (147.66 m2 g-1) and the smallest particle size (32.26 nm).
Diagnostic Value of 3D Volume Measurement of Central Pulmonary Artery Based on CTPA Images in the Pulmonary Arterial Hypertension
Authors: Zhao Wanwan , Guo Jialing , Dong Ningli , Hei Huanhuan , Duan Xiaoyi , Shen Cong 
Published: August 2023

Abstract
Background This retrospective study aims to evaluate the diagnostic value of volume measurement of central pulmonary arteries using computer tomography pulmonary angiography (CTPA) for predicting pulmonary arterial hypertension (PAH).
Methods A total of 59 patients in our hospital from November 2013 to February 2023 who underwent both right cardiac catheterization and CTPA examination were included. Systolic pulmonary artery pressure (SPAP), mean PAP (mPAP), and diastolic PAP (DPAP) were acquired. Patients were divided into two groups: non-PAH (18 cases) and PAH (41 cases). The diameters of the main pulmonary artery (DMPA), right pulmonary artery (DRPA), and left pulmonary artery (DLPA) were measured manually. A 3D model software was used for the segmentation of central pulmonary arteries. The cross-sectional areas (AMPA, ARPA, ALPA) and the volumes (VMPA, VRPA, VLPA) were calculated. A comparative analysis of the parameters of central pulmonary arteries between the two groups was performed. Through the ROC curves, the optimal cutpoints of the CTPA parameters for predicting PAH were identified. Additionally, we correlated the parameters from CTPA images with those from RHC. A multiple linear regression model with a forward-step approach was adopted to integrate all statistically significant CTPA parameters for PAH prediction.
Results All parameters (DMPA, DRPA, DLPA, AMPA, ARPA, ALPA, VMPA, VRPA, and VLPA) exhibited significantly elevated in the PAH group in contrast to the non-PAH group (P < 0.05). The one-dimensional measurements (DMPA, DRPA, DLPA), two-dimensional measurements (AMPA, ARPA, ALPA), and three-dimensional measurements (VMPA, VRPA, VLPA) of CTPA images all showed a positive correlation with the RHC results (mPAP, DPAP, SPAP), all with P < 0.05. Particularly, for the MPA and RPA, 3D CTPA parameters showed superior correlation coefficients compared to their one-dimensional and two-dimensional counterparts. The ROC analysis indicated that the volume measurements were more accurate and provided a greater area under the curve compared to the diameter and sectional area measurements. The predictive equations for mPAP, DPAP, and SPAP were formulated as [8.178 + 0.0006 * VMPA], [1.418 + 0.0005 * VMPA], and [-11.137 + 0.0006*VRPA + 1.259 * DMPA], respectively.
Conclusion The 3D volume measurement of the central pulmonary artery based on CTPA images outperforms the traditional diameter in predicting PAH.
Barriers and facilitators to thirst symptom management for patients with heart failure: A qualitative study
Authors: liu hui , CHEN Qiongshan , ZHENG Yingjun 
Published: August 2023

Abstract
Background: Thirst in patients with heart failure is commonly overlooked by health providers despite its high prevalence and great detriment. The aim of this study was to explore the barriers and facilitators to thirst symptom management for patients with heart failure from the perspectives of nurses.
Methods: Semi-structured, in-depth interviews with nurses working in cardiology department and cardiac care unit were conducted in a tertiary hospital between March 2023 and May 2023. A content analysis was used to analyze data. The Consolidated criteria for reporting qualitative research (COREQ) guidelines were followed.
Results: A total of 11 nurses participated in this study. Six main themes were identified: positive attitude (beneficial for recovery, improve treatment compliance, improve quality of care, establish mutual trust), negative attitude (increase workload, insufficient awareness, insufficient available interventions), supportive beliefs (beginning to gain attention from leaders), unsupportive beliefs (lack of standardized procedures, stress from coworkers, stress from patients), facilitators (systematic training，evidence-based nursing，adequate staffing, support of the leaders, establish systematic daily work pattern，severe thirst) and barriers (patients' distrust and low cooperation, heavy clinical workload, lack of human resources, lack of training).
Conclusions: This study provides an understanding of barriers and facilitators to the delivery of thirst symptom care. Training sessions and standardized procedures are required to enable nurses for thirst symptom management. Tailored education is also critical because most HF patients do not understand why they are restricted from drinking water due to lack of associated knowledge.
Eccrine poroma and eccrine porocarcinoma were found at the same site on the scalp. A case report and review of literature
Authors: Song Ying-hua , Chen Dan , Cai Wei-na , Zhang Liang 
Published: August 2023

Abstract
Background: Both eccrine poroma (EP) and eccrine porocarcinoma (EPC) are accessory tumors originating from the eccrine glands. The former is a benign progression and the latter is a malignant tumor. We here report a case of these two diseases at the same site on the scalp of the same person.
Case presentation: A 52-year old male patient complained that a few nodules were found on the top of his head. Two years after surgical excision, some other nodules appeared near the primary site and a skin ulcer formed in the surgical wound area. He was finally sent into hospital and followed the steps in the MOHS surgical procedure to remove all the skin lesions. Pathological analysis of the final excised tissue showed EP and EPC results, respectively.
Conclusion: EP and EPC are often misdiagnosed by clinicians. These two diseases were found at the same site on the scalp of the same person, which is very rare. Early diagnosis and early surgical treatment are the keys to a good prognosis.
Contextual Information Aggregation and Multiscale Feature Fusion for Single Image De-Raining in Generative Adversarial Networks
Authors: Zhao Jia , Chen Ming , Pan Jeng-Shyang , Han Longzhe , Liu Bosheng 
Published: August 2023

Abstract
Needle image de-rain the existence of non-uniform rain density, noise misjudgment, and other problems, proposed a context information aggregation and multi-scale feature fusion generative adversarial network(CMGAN) single image de-rain method. Firstly, design the encoding, context information aggregation, and decoding structures to form the generator network, extract features by convolution, expand the convolution to aggregate context information effectively, and transposing convolution to restore the image. Enhance the model's capability to perceive image details, enabling it to accurately analyze image information and reconstruct image content.; secondly, design the multiscale feature fusion discriminator network, and capture the image's different details through the convolution kernel of different scales. Enhance the model's capacity to capture image details by integrating feature maps from various scales, enabling it to effectively discern between authentic and manipulated images.; finally, a new refinement loss function is proposed to reduce the grid artifact generation, and Lipschitz constraints are added to further reduce the imaging gap. In this study, the model's performance is assessed using peak signal-to-noise ratio and structural similarity as evaluation metrics, and the experiments undertaken on real and synthesized rain images show that the method exhibits excellent rain removal performance.
Can The Balanced Combination of Eco-innovation, Foreign Investments, And Carbon Emission In Space and Time Develop Economic Growth And Simultaneously Preserve the Quality Environment?
Authors: Amara Dhekra Ben , Qiao Jiajun 
Published: August 2023

Abstract
Environmental concerns have steadily caught attention as economic growth has developed more rapidly. Eco-innovation, foreign investment, and carbon emissions have lately climbed to the top of research topics since they influence environmental quality. Nevertheless, there is scarce knowledge about the spatial perspective and the impact of the combined mechanisms of eco-innovation, FDI, and carbon emissions in developing nations. This paper uses the geographic Durbin model to examine the combined effect of eco-innovation, carbon emission, and FDI effects on GDP in nine MENA countries from 2000 to 2019. The study results are as follows: (i) Eco-innovation, FDI, and carbon emissions positively and directly impact GDP, (ii) carbon emissions are the most critical driver that impacts economic growth, and (iii) the balanced combination of driving factors of economic growth positively and directly impacts GDP. Therefore, this balanced combination effect impacts economic growth, improves environmental quality, and embarks on a sustainable transition path.
Classifier Approach for Word Sense Disambiguation System with a Focus to Improve the Translation Accuracy
Authors: Gupta Bineet Kumar , Maurya Archana Sachindeo , Abraham Ajith , Husain Mohammad , Ali Arshad , Alshmrany Sami 
Published: August 2023

Abstract
Machine Translation (MT) is a crucial application of (NLP) Natural language Processing. This MT technique automatic and based on computers. One of the most modern techniques adopted in MT is machine learning (ML). Over the past few years, ML has grown in popularity during MT process among researchers. Ambiguity is a major challenge in MT. Word Sense Disambiguation (WSD) is a common technique for solving the ambiguity problem. ML approaches are commonly used for the WSD techniques and are used for training and testing purposes. The outcome prediction of the test data gives encouraging results. Text classification is one of the most significant techniques for resolving the WSD. In this paper, we have analyzed some common supervised ML text classification algorithms and also proposed a “hybrid model” called “AmbiF.” We have compared the results of all analyzed algorithms with the proposed model “AmbiF. The analyzed supervised algorithms are Decision Tree, Bayesian Network, Support Vector Machines, K-Nearest Neighbor, Random Forest, and Logistic Regression. The range of accuracy for all the algorithms that were examined is between sixty-eight and eighty-four percent. To improve the accuracy of the AmbiF model, we have merged the Decision Tree, Support Vector Machine, and Naïve Bayes classifier Approach. For testing the model, we have used the ten-fold cross-validation test method. The AmbiF model’s accuracy has been reported eighty-five percent. Comparing the AmbiF model to all other analyzed supervised ML classification algorithms, it has also demonstrated great precision, recall, and F-score. WEKA's machine learning tool is used to analyze the algorithms and the AmbiF model.