bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of Aluminum Fluoride on Phase Transformation and Morphology Evolution of Alumina
Authors: Zhang Ziyu , Zhang Liang , Zhu Lingling , Fu Mingtang 
Published: April 2024

Abstract

In order to verify the formation of gaseous phase fluoride and its influence on the morphological evolution and the growth mechanism of α-Al2O3, the α-phase transformation temperature and morphology of α-Al2O3 powders from the calcination of commercial γ-Al2O3 and Al(OH)3 precursor with the addition of AlF3 additive have been studied through the incorporation of mixed placement experiments, layered placement experiments and separated placement experiments. The formation of gaseous phase fluoride has been experimentally confirmed by means of layered placement experiments and separated placement experiments, especially by the enhancement of the α-phase transformation occurred outside the small crucible in separated placement experiments. AlF3 additive significantly enhances shape anisotropy of α-Al2O3 precursor and lowers the total α-transformation temperature (900°C for Al(OH)3 precursor and 1100°C for γ-Al2O3 precursor ), even though the commercial precursor and AlF3 additive has been completely isolated by small crucible with cover. In addition, different kinds of α-Al2O3 powders are obtained from these various set of experiments, such as hexagonal platelets, irregularly thick flake-like, and spherical-like α-Al2O3 powders with distinct particle size distribution. In particular, the α-Al2O3 grains obtained from Al(OH)3 precursor at the bottom part of the layered placement experiments and the outside part of the separated placement experiment have obvious growth defects, and some tiny holes emerge on the surface of those irregular α-Al2O3 platelets.
Comparison of the Efficiency of Phage Coat Proteins Displaying Exogenous Proteins
Authors: Zhang Hanzhong , Jiang Chunyang , Zhu Di , Wang Zheng , Liu Jianghai , Li Lei 
Published: April 2024

Abstract

Background:
Filamentous phage display has emerged as a common method for protein engineering, including the manipulation of antibody fragments. Various capsid proteins, such as gene III protein P3 (P3), truncated P3 (TP3), VIII protein P8, and IX protein P9, have been employed to display foreign proteins. Despite their widespread use, comprehensive comparative analyses of their display performances remain scarce.
Methods:
Six foreign proteins, ranging from 8 to 520 residues in length, were fused to phagemid-borne proteins P3, TP3, P8, and P9. Phage titers of the phage supernatants were quantified to estimate phage yields. Phage ELISA experiments were conducted to detect the Flag signals of the displayed proteins and assess their display ability. Additionally, phage ELISA experiments were performed to evaluate the binding ability of the fusion proteins. Both helper phages M13KO7 and DeltaPhage were investigated for the P9 system to compare their effects on the display efficiency of foreign proteins.
Results:
Among the four phage display systems, the P3 system demonstrated efficient display of foreign proteins of varying lengths without altering their binding properties. The TP3 system efficiently displayed small foreign proteins but showed a slight reduction in their binding properties. The P8 system exhibited characteristics similar to the TP3 system, albeit with a significantly lower phage titer. The P9 system, when associated with M13KO7, displayed small proteins effectively, while DeltaPhage enhanced the display efficiency of foreign proteins fused with this system.
Conclusions:
These findings not only highlight the superiority of the P3 system among the tested display systems but also contribute to our understanding of selecting appropriate display systems for showcasing different proteins.
Analysis of Hydrological Dynamics and Climate Change Impact in the Chuncheon Watershed with the SWAT Model
Authors: Sadiqi Sayed Shah Jan , Hong Eun-Mi , Nam Won-Ho , Kim Taegon 
Published: April 2024

Abstract

Chuncheon, being a crucial source of water for three major dams amidst its excellent environmental significance, is facing growing challenges to its water quality and quantity due to the effects of climate change. With the majority of rainfall accumulated during the rainy season, assessing and forecasting these changes becomes important. In this study, we used the Soil and Water Assessment Tool (SWAT) Model in conjunction with CMIP6 climate change models, considering two scenarios. Through extensive statistical analyses, including the T-TES, cumulative anomaly, and Mann-Kendall (M-K) tests to identify vulnerable basins and estimate climate and flow changes.Our findings, based on climate change modeling under the SSP126 and SSP585 scenarios, show Daily maximum temperatures are expected to rise by 2.85 to 6.16°C and minimum temperatures by 4.6 to 6.97°C over the coming decade, and annual precipitation is projected to increase by 138.12-214.48 mm throughout these decades, as well as notable changes in flow patterns, notably during the wet season. SWAT model results show excellent calibration and validation, with an acceptable range of R2 values greater than 60, and identifying prone basins for sediment, organic nitrogen, nitrate, and dissolved oxygen for enabling more effective management strategies. While the SWAT-CUP sensitivity analysis shows the soil evaporation compensation factor (ESCO) is the most influential parameter, affecting soil water evaporation. Hence, this study gives important insights into the expected effects of climate change on Chuncheon's water resources and water resource managers seeking to implement preventive measures in response to changing climatic conditions.
Comparison of the structural integrity and quality of corneal endothelium stored in Organ Culture Storage Medium versus Eusol-C
Authors: Wang Qin , Liu Yonghuan , Gao Yang , Zhang Ming , Yang Lihong , Hu Jian , Ren Yi , Zhou Qizhi , Zhu Meidong 
Published: April 2024

Abstract

In this experimental study, we compared the structural integrity and cell quality of corneal endothelium stored in organ culture medium (OCS) and Eusol-C. The experiment included rabbit and human cornea experiments in vitro. Thirty rabbit corneas and thirty-two human corneas were collected and divided into two groups. All right corneas were allocated in experiment group and left corneas were placed in control group. The corneas in experimental group were stored in OCS at 34℃, and the corneas in control group were stored in Eusol-C at 4℃ for 7, 14, 21, 28, and 35 days, respectively. Endothelial cell morphology, cell count, and trypan blue staining for viability were assessed before storage (Day 0) and at days 7, 14, 21, 28 and 35. The structural integrity of human corneal endothelial cell was analyzed using immunohistochemistry. The samples of storage solution for microbial culture were collected on the third day and at the end of storage. The results show that no bacterial and fungal infections were found in both groups. After 14 days of storage, the morphology of endothelial cell was better in the experimental group than in the control group. The endothelial cell stored in OCS were better than those stored in Eusol-C at the end of storage times, except human cornea 14 days storage group. The ZO-1 protein staining showed the typical polygonal morphology of endothelial cell stored in the OCS. Corneal endothelial cells stored in the OCS had better quality up to 28 days. It can be applied to Chinese eye banks as a method of corneal preservation.
Research on High-Value Patent Identification Model from Perspective of Patent Transfer
Authors: Wu Zengyuan , Li Ying , Han Xiangli , He Bin 
Published: April 2024

Abstract
Accurately identifying high-value patents can be difficult with the dramatic increase in the number of patent applications. This leads to a low rate of commercialization of patent achievements. Whether a patent is transferred or not is an important reflection of the value of the patent. In order to solve above problems, we proposed a high-value patent identification model that combines hybrid sampling technology and ensemble learning algorithm. First, we add technical capacity of patentees based on traditional high-value patent identification indicators to reconstruct the indicator system. Then we reduce the identification indicator system for high-value patents to eliminate redundant indicators. Second, we use Adaptive Synthetic Sampling - Local Outlier Factor (ADASYN-LOF) to expand minority samples to balance the data. Finally, we use Genetic Algorithm (GA) to optimise the parameters of AdaBoost. For clarity, this model is called the ADASYN-LOF-GA-AdaBoost model. To test the effectiveness of above model, we use patent data in field of scientific instruments. The results demonstrate that the proposed model achieves ACC of 94.47%, AUC of 94.87%, recall of 97.54%, and F1-score of 95.23%. The results show that ADASYN-LOF-GA-AdaBoost model performs better than other models. Therefore, this model can effectively identify high-value patents with transfer potential.
Unusual Coexistence of Takayasu's Arteritis and Systemic Lupus Erythematosus in a Woman: A Case Report
Authors: Jindal Himanshu , Suresh Vinay , Kamaraj Balakrishnan , Jha Mayank Sujeetkumar , Verma Nikhil , Narra Balarishi , Aujla Savvy , Vadodaria Vishwa , Sahithi Gopu 
Published: April 2024

Abstract
Takayasu’s arteritis (TA) and systemic lupus erythematosus (SLE) are distinct autoimmune disorders with similar age and gender predisposition. However, their coexistence is exceedingly rare, and presents unique diagnostic and therapeutic challenges. Here, we report the case of a 44-year-old female with nodular episcleritis, breathlessness, and palpitations who was ultimately diagnosed with both TA and SLE. The presence of a range of antibodies in various cases underscores the heterogeneity of the disease presentation and the need for comprehensive testing. While many patients with this dual diagnosis experience symptom improvement and complete recovery, some face severe outcomes. In our case, aortic root replacement surgery was planned because of severe aortic regurgitation; however, the patient's condition deteriorated, resulting in death. This case underscores the need for clinicians to recognise and thoroughly evaluate patients with overlapping symptoms of TA and SLE. Although challenging, the coexistence of these autoimmune diseases provides valuable insights into the complexities of autoimmune conditions. Further research and collaboration are essential to advance our understanding and to improve patient outcomes in these complex clinical scenarios.
Comparison of the effectiveness of microsilica modification of lightweight concretes with coarse aggregates from various rocks
Authors: Paskachev A. B. , Rzhevskaya T. G. , Stel'makh S. A. , Shcherban E. M. , Mailyan L. D. , Mailyan A. L. 
Published: April 2024

A promising line of research in construction science and practice is the creation of lightweight concretes. They exhibit the so-called strength-density ratio, i. e. a relative characteristic between the strength and weight of the resulting concrete. This ratio simultaneously reflects the maximum possible weight reduction of the structure and its operational reliability. The research aims to compare the effectiveness of microsilica modification of lightweight concretes produced with coarse aggregates from various rocks. The study analyzed the existing scientific literature on lightweight concretes, their formulations, technology, and scientific validity, as well as the structural compatibility of the components used. A comparison was made of the effectiveness of lightweight concrete modification for various formulation technological parameters. The strength of modified lightweight concrete and its strengthdensity ratio changed significantly compared to unmodified lightweight concrete. The strongest effect is achieved when using lightweight granite concrete modified with 9 % of microsilica. As a result, the maximum compressive strength was 55.9 MPa, and the strength-density ratio was 24.3•10-3 MPa•m3/kg compared to other studied concrete compositions. The increase in compressive strength was 17.2 % compared to unmodified lightweight concrete. The strength-density ratio increased by 19.1 % compared to unmodified coarse dense aggregate concrete.
Sewer sediment deposition prediction using a two-stage machine learning solution
Authors: Ribalta Gené Marc , Béjar Ramón , Mateu Carles , Corominas Lluís , Esbrí Oscar , Rubión Edgar 
Published: April 2024

ABSTRACT

Sediment accumulation in the sewer is a source of cascading problems if left unattended and untreated, causing pipe failures, blockages, flooding, or odour problems. Good maintenance scheduling reduces dangerous incidents, but it also has financial and human costs. In this paper, we propose a predictive model to support the management of maintenance routines and reduce cost expenditure. The solution is based on an architecture composed of an autoencoder and a feedforward neural network that classifies the future sediment deposition. The autoencoder serves as a feature reduction component that receives the physical properties of a sewer section and reduces them into a smaller number of variables, which compress the most important information, reducing data uncertainty. Afterwards, the feedforward neural network receives this compressed information together with rain and maintenance data, using all of them to classify the sediment deposition in four thresholds: more than 5, 10, 15, and 20% sediment deposition. We use the architecture to train four different classification models, with the best score from the 5% threshold, being 82% accuracy, 70% precision, 76% specificity, and 88% sensitivity. By combining the classifications obtained with the four models, the solution delivers a final indicator that categorizes the deposited sediment into clearly defined ranges.
Construction of hydrological and hydrodynamic models based on ARM architecture processor – A case study of inner Harbor area of Macao Peninsula
Authors: Zhang Haijia , Liu Jiahong , Mei Chao , Dong Lirong , Song Tianxu 
Published: April 2024

ABSTRACT
Green computing is the current research hotspot; adapting the professional computing model to the low-power ARM architecture processor is a research trend. This article constructs a hydrological–hydrodynamic model by choosing SWMM and TELEMAC-2D as submodules, taking stormwater grates and inspection wells as water flow exchange nodes. The container technology was selected to couple the model on the ARM architecture processor, and the adapted coupling model is named the ARM hydrological–hydrodynamic model (AHM). To verify the reasonableness and accuracy of the model, taking the inner harbor of Macao Peninsula as the study area, a numerical simulation study on the evolution of waterlogging was carried out in various scenarios. The analysis showed that the maximum flow velocity was concentrated in the streets with low topography in the city center, and the areas of standing water were distributed in a point-like manner. Risk distribution maps during different storm recurrence periods were also constructed. Finally, the direct economic losses caused by Typhoon Mangkhut were calculated based on the model results and compared with the statistical values, with an error of only 2.3%, and the direct flooding losses in the inner harbor area under different rainfall scenarios were derived accordingly.
The Use of Artificial Intelligence In Applied Tasks of the Modern Information Society
Authors: Lisitsin L. A. , Lisitsin A. L. , Lisitsin A. L. 
Published: April 2024

Purpose of reseach. The search for the possibilities and limitations of using artificial intelligence (AI) to solve poorly formalized (creative) tasks in various fields. Evaluation of the effectiveness of AI application in comparison with traditional methods. Analysis of the use of artificial intelligence based on genetic algorithms to optimize processes and solve complex poorly formalized tasks using the example of school scheduling.Methods. Using a genetic algorithm (GA) to schedule by combining and varying data is similar to evolutionary selection in nature.Results. As a result of the conducted software modeling using GA, a variant of the schedule for a typical urban secondary school was obtained, taking into account all the norms of the "school" SanPiN and the wishes of teachers, characterized by ease of use and flexibility when adding new restrictions, as well as high speed on ordinary office computers.Conclusion. The relevance of using genetic algorithms for scheduling lies in the rapid automatic search for the optimal or acceptable solution in a large space of possible options, taking into account the established limitations and priorities, as well as flexibility and adaptability for various types of tasks.
Visual Programming of the Area Ratio Method
Authors: Bobyr M. V. , Khrapova N. I. 
Published: April 2024

Purpose of research. Investigation of the relationship between the input and output characteristics of a fuzzy logic system based on the application of the area ratio method. The description of the specified method and the results obtained during modeling in a tabular processor is carried out using the means of illustrative presentation of information – visual programming.Methods. To study the area ratio method, we considered a fuzzy logic model containing two input variables with three triangular membership functions and one output variable with five triangular membership functions. A database of fuzzy rules has been formed. The degrees of activation of the output terms were determined using the minimax rule of output L. Zadeh. The defuzzification of the values was carried out using a model based on the area ratio method.Results. There are advantages of the area ratio method over traditional models, which consist in the ability to compensate for the main disadvantage - narrowing the defazzification interval. Using the proposed method, the possibility of using different numbers of variables on the input and output membership functions is studied. The results of experimental studies have shown that combining the parameters allows us to create a visual representation of the characteristics between the input and output variables.Conclusion. This article describes the area ratio method, which allows us to visualize the relationship between input and output variables. There are the main results of numerical modeling reflecting the specifics of the method. The study was conducted through visual programming, which provides a number of advantages, such as improving the quality of the software product, ensuring a clear structuring of the task and accessibility to human perception.
Understanding the Impact of Communicating Uncertainty About COVID-19 in the News: Randomized Between-Subjects Factorial Experiment
Authors: Zhao Rui , Lu Xuerong , Yang Jiayi , Li Biao 
Published: April 2024

Background
Whether and how the uncertainty about a public health crisis should be communicated to the general public have been important and yet unanswered questions arising over the past few years. As the most threatening contemporary public health crisis, the COVID-19 pandemic has renewed interest in these unresolved issues by both academic scholars and public health practitioners.

Objective
The aim of this study was to investigate the impact of communicating uncertainty about COVID-19–related threats and solutions on individuals’ risk perceptions and misinformation vulnerability, as well as the sequential impact of these effects on health information processing and preventative behavioral intentions.

Methods
A 2×2 (threat uncertainty [presence vs absence]×solution uncertainty [presence vs absence]) full-fractional between-subjects online experiment was conducted with 371 Chinese adults. Focusing on the discussion of whether the asymptomatic cases detected during the COVID-19 pandemic would further lead to an uncontrolled pandemic, news articles were manipulated in terms of whether the infectiousness of asymptomatic cases and the means to control the transmission are presented in terms of their certainty or uncertainty. Participants were randomly assigned to one of the four experimental conditions, being instructed to read one news article. After reading the news article assigned, participants were asked to respond to a series of questions to assess their cognitive and behavioral responses.

Results
Individuals were more susceptible to believing false COVID-19–related information when a certain threat and uncertain solution were framed in the news article. Moreover, individuals’ perceptions of crisis severity increased when exposed to news information containing uncertain solutions. Both misinformation vulnerability and perceived severity were positively associated with information processing. Information seeking was positively associated with protective behavioral intention, whereas information avoidance was negatively associated with protective behavioral intention.

Conclusions
Our findings imply that uncertainty, depending on its aspect, can be effectively communicated to the public during an emerging public health crisis. These results have theoretical and practical implications for health communicators and journalists. Given its limited influence on individuals’ cognitive and behavioral responses, uncertainty related to a health threat should be disseminated to meet the public’s expectation of information transparency. However, caution is advised when communicating uncertainty related to potential solutions, as this factor exhibited a mixed impact on individual responses during a crisis.