bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application and Functional simulation of data mining technology in Hadoop cloud platform based on improved algorithm
Authors: Dai Nina 
Published: February 2023

Abstract
Data mining algorithms can process target data and extract useful hidden information, which is helpful for decision making. However, current mining algorithms have some shortcomings such as time-consuming processing of big data or inability to process massive data. Since data mining technology cannot be used in the traditional cloud platform environment, it is necessary to improve the algorithm to make it more adaptable to the cloud platform environment. By analyzing the actual application process of BP classification algorithm, this paper describes the practicability of BP classification algorithm, analyzes the process of data mining based on Hadoop cloud platform, and explains the development concept of BP classification algorithm. The source of data mining algorithm supported by cloud computing is discussed. Finally, based on the data mining system of Hadoop cloud platform, this paper designs the corresponding system architecture and data interface, and establishes a suitable testing environment for this system, and completes the simulation experiment test by design. It can be SEEN from the research results that the computation time of this algorithm is directly proportional to the amount of data, and it shows a linear relationship. Compared with the traditional data mining algorithm, the optimized BP algorithm in this paper can significantly save resources in terms of spatial features. This paper designs a kind of optimized operation system based on Hadoop platform through comprehensive analysis of data mining technology and improved algorithm, so as to promote the comprehensive development of data mining technology.
Personalized information push system for education management based on big data mode and Collaborative filtering algorithm
Authors: Zhu Zefeng , Sun Yongle 
Published: February 2023

Abstract
Relying on network technology, the integration of personalized learning and Internet technology has become another trending industry. This paper explores a new strategy for education management, that is, a personalized information push system based on recommendation algorithms. The system can push personalized learning resources for teachers and students, and help them quickly locate interest points and learning directions by analyzing their usage history and tag attribute characteristics. The personalized information push algorithm achieves data fidelity by pre-cleaning or pre-processing the data. In addition, after the clustering algorithm is integrated into the system, its computing efficiency and mining depth are greatly improved than before. At the same time, based on collaborative filtering technology, this paper introduces information entropy and standard deviation to optimize the core algorithm, so as to distinguish the similarity between users, and further push recommendation accuracy and precision to a higher level. Finally, the existing problems in the current development of big data education management are analyzed, and future development strategies are proposed. To sum up, the personalized information recommendation system proposed in this study has a lower MAE value, so this has forward-looking significance for enhancing the depth of interactive learning and changing the inherent learning mode.
Decitabine may effectively treat CMML/MDS-associated inflammatory bowel disease by regulating the Th17/Treg balance
Authors: Luo Guobiao , Gao Guanlun , Liu Zengyan , Wei Ting , Li Qing-Shan 
Published: February 2023

Abstract
Background. T helper 17 (Th17) and regulatory T (Treg) cell imbalance in the immune microenvironment is involved in the pathogenesis of myelodysplastic syndrome (MDS) and inflammatory bowel disease (IBD). DNA demethylation agents are the main treatment for MDS/ chronic myelomonocytic leukemia (CMML). However, the clinical efficacy of the demethylation agent decitabine (DAC) in the treatment of MDS /CMML-associated IBD has not been reported.
Methods. In this study, Decitabine was used to treat two patients with MDS/CMML-associated inflammatory bowel disease. Clinical efficacy was assessed after 5 courses of DAC treatment. Meanwhile, we performed dynamic monitoring of immune-related indicators in the intestinal, bone marrow, and peripheral blood microenvironment of one patient with CMML-associated ulcerative colitis.
Results. IBD was improved in 2 patients with haematological remission in MDS or CMML. Immunohistochemical analysis of bone marrow specimens showed that PD-1, PD-L1, and Foxp3 were upregulated, and IL-17 was downregulated. In the bone marrow and intestine, quantitative RT-PCR showed that the mRNA level of IL-17 decreased after DAC treatment, whereas those Foxp3, PD-1, and PD-L1 mRNA increased. Flow cytometry showed that the percentage of Th17 cells in peripheral blood mononuclear cells decreased, whereas that of Treg cells increased.
Conclusions. Our results suggest that DAC may effectively treat CMML/MDS associated IBD by affecting the balance of Th17/Treg via PD-1/PD-L1 pathway in the immune microenvironment.
Automatic detection of incoherent written responses to open-ended mathematics questions of fourth graders
Authors: Vargas Felipe Ignacio Urrutia , Araya Roberto 
Published: February 2023

Abstract
Arguing and communicating is one of the basic skills of the mathematics curriculum. Making them in written form facilitates rigorous reasoning. It allows peers to review the argumentation, and to receive feedback from them. Even though they generate additional cognitive efforts to the calculation process, they enhance long-term retention and facilitate deeper understanding. However, developing arguing and communicating competences in elementary school classrooms are a great challenge. It requires at least two conditions: all students write and all receive immediate feedback. One solution is to use online platforms. However, this is very demanding for the teacher. The teacher must review 30 answers in real-time. To facilitate the revision, it is necessary to automatize the detection of incoherent responses. Thus, the teacher can immediately demand to correct them. Some incoherent answers are obvious. Others are more complex. They require understanding and comparison with the question. In this work, we analyze 14,457 responses to open-ended questions written by 974 fourth graders on the ConectaIdeas online platform. 13\% of the answers are incoherent. Using natural language processing and machine learning algorithms, we build an automatic classifier. Then, we tested the classifier on an independent set of written responses to different open-ended questions. We found that the classifier achieves F1-score = 79.15\% for incoherent detection, which is better than baselines using different heuristics.
Development of English translation online teaching system and Service function improvement based on image segmentation algorithm
Authors: Qiao Hongliang , An Lina , Cao Maojun 
Published: February 2023

Abstract
With the continuous progress of Internet technology, so there is a higher demand for English translation. In this context, this paper realizes the design and improvement of the online English translation system by combining the image segmentation algorithm. After the experimental test of the algorithm of this system, if there is a lot of salt and pepper noise in the target image in the actual system application process, the method designed in this paper can reflect a better processing effect. Based on the analysis of performance parameters, this method can effectively process Gaussian noise images with high precision. After the completion of the system design, this paper tests the system. From the test and operation results, the software has reached the design objectives and completed the work tasks. The English translation online teaching system can form a safe, stable and high bandwidth English translation teaching network, and can realize the connection of the whole network. Users can share various software and hardware resources, completed the design of a translation platform that can realize rapid English communication, share experience and discuss, to effectively improve the learner's initiative. In this paper, an effective online teaching system is designed by introducing image segmentation algorithm into the field of English translation.
Design of interactive enterprise financial system based on Multi-user scheduling and cellular network
Authors: Li Qingping , Wu Guoqiang 
Published: February 2023

Abstract
Enterprise financial system is an activity to establish common and reusable rules for actual or potential problems in order to achieve the best order of enterprise finance. The expansion of each theory is based on the collection of practical experience and the development of science and technology, which also brings demand and space for the research of interactive enterprise financial system. This paper uses heterogeneous cellular network to provide technical support for the construction of interactive financial system, proposes an algorithm to use small base stations in traditional macro cellular network, and plans the status of base stations according to various traffic patterns. Under the premise of ensuring the quality of service, the number of small base stations can be effectively reduced, and the status of base stations can dynamically adapt to the changes of spatial traffic. With the support of heterogeneous cellular network, interactive enterprise financial system can be built on the basis of more complete and comprehensive information. The final simulation results show that the method can effectively reduce the cost of providing heterogeneous cellular network while maintaining the quality of service, and improve the user and energy efficiency of interactive enterprise financial system. Heterogeneous cellular network provides a new insight for the design of interactive enterprise financial system, which helps enterprises improve the efficiency of processing financial transactions and maintain the financial security of enterprises.
The effect of crown to implant ratio on marginal bone level and bone density in non-splinted single implant: A cross-sectional study
Authors: chen Ziyuan , Li Weiting , Li Peng 
Published: February 2023

Abstract
Background: Researches evaluating the influence of crown to implant ratios (c/i) on marginal bone level (MBL) and bone density changes of non-splinted single implants are still rare. The aim of this study was to assess the effect of c/i on MBL and density of peri-implant bone in non-splinted posterior implants.
Methods: C/i, MBL and bone density changes were measured on standardized X-rays. The bone density changes were assessed according to the grey-scale values. Four interested areas (two at apical and two at middle of the peri-implant area) and two control areas were set to evaluate the grey-scale values of peri-implant bone. Radiographs at follow-up had been calibrated by control areas.
Results: Seventy-three patients with a total of 117 non-splinted posterior implants were involved in this study, with a mean follow-up time of 36.23±10.40 months (24 to 72 months). The average anatomical c/i was 1.78±0.43, with a range of 0.93 to 3.06. The mean MBL change was 0.28±0.97mm, ranging between -2.75mm and 2.56mm. The correlation between c/i and MBL changes was without significant difference (r = -0.028, P = 0.766). The Pearson coefficient determined a significant correlation between gray-scale value changes and c/i, both at middle peri-implant areas (r = 0.301, P = 0.001) and at apical (r = 0.247, P = 0.009).
Conclusions: Higher c/i of single non-splinted posterior implants was correlated with bone density increases at peri-implant areas, but not associated with MBL changes.
Comparison of health-seeking behaviour of Malaysian adults in urban and rural areas pertaining to oral health issues: findings from the National Health and Morbidity Survey 2019
Authors: TAN Yeung R’ong , JAWAHIR Suhana , DOSS Jennifer Geraldine 
Published: February 2023

Abstract
Background: The development and implementation of appropriate strategies to enhance oral health in the community can be aided by an understanding of oral health-seeking behaviour among urban and rural populations. The purpose of this study was to identify the factors associated with oral health-seeking behaviour of the Malaysians in urban and rural locations who self-reported dental problems.
Methods: The National Health and Morbidity Survey 2019, a cross-sectional nationwide household survey that focused on non-institutionalised Malaysians, provided the data for this study on adults in Malaysia who were 18 years of age and older. Data was collected using a multilingual (Malay and English), structured, and validated questionnaire via face-to-face interviews from July to October 2019. Complex sample descriptive statistics were used to describe the characteristics and oral health-seeking behaviour of the respondents. The relationship between predictors (predisposing, enabling, and health needs factor) and oral health-seeking behaviours were investigated using multivariable logistic regression analysis (sought healthcare and self-medication).
Results: The analysis comprised a total of 10,134 respondents, or about 18.2 million Malaysian adults ages 18 and above. The overall prevalence of Malaysian adults who self-reported dental problems was low (5.5%) and was slightly higher in the rural than urban population. Almost half sought treatment from healthcare practitioners (HCPs), and almost a quarter self-medicated. Ethnicity was associated with seeking healthcare and self-medication among urban dwellers. Among the rural population, income level was associated with seeking healthcare while education level was associated with self-medication.
Conclusion: Disparities in oral health-seeking behaviours exist between Malaysians living in urban and rural areas. Future policies should adopt focused strategies that concentrate on oral healthcare accessibility and health literacy of the vulnerable and rural populations to achieve the best oral healthcare for this population group.
Patients’ experiences undergoing cancer surgery during the COVID-19 pandemic: a qualitative study
Authors: Pook Makena , Najafi Tahereh , Lapointe-Gagner Maxime , Nguyen-Powanda Philip , Elhaj Hiba , Rajabiyazdi Fateme , Kaneva Pepa , Lee Lawrence , Feldman Liane S. , Fiore Julio F. 
Published: February 2023

Abstract
Purpose: This study aimed to understand patients’ experiences undergoing cancer surgery during the COVID-19 pandemic. In response to COVID-19, many elective cancer surgeries were delayed creating a massive backlog of cases. Patients’ experiences with surgical delays may inform healthcare systems’ responses to the backlog of cases and guide preparations for future healthcare emergencies.
Methods: This was a qualitative description study. Patients undergoing general surgery for cancer at two university-affiliated hospitals between March 2020 and January 2021 were invited to one-to-one interviews. Patients were purposefully selected using quota sampling until interviews produced no new information (i.e., thematic saturation). Interviews were conducted using a semi-structured guide and analyzed according to inductive thematic analysis.
Results: Twenty patients were included [mean age 64±12.9; male (n=10); surgical delay (n=14); cancer sites: breast (n=8), skin (n=4), hepato-pancreato-biliary (n=4), colorectal (n=2), and gastro-esophageal (n=2)]. When determining their willingness to undergo surgery, patients weighed the risk of COVID-19 infection against the urgency of their disease. Changes to the hospital environment (e.g., COVID-19 preventative measures) and deviations from expected treatment (e.g., alternative treatments, remote consultations, rescheduled care) caused diverse psychological responses, ranging from increased satisfaction to severe distress. Patients employed several coping strategies to mitigate distress, including eliciting reassurance from care providers, seeking information from unconventional sources, and reframing care interruptions.
Conclusions: Changes in care during the pandemic elicited diverse psychological responses from patients undergoing cancer surgery. Coping was facilitated by consistent communication with providers, emphasizing the importance of patient-centered expectation setting as we prepare for the future within and beyond the pandemic.
Film and television art innovation in network environment by using collaborative filtering recommendation algorithm
Authors: Lai Xueyan , Chen Jianke 
Published: February 2023

Abstract
With the continuous development of network information technology, people's dependence on network information is becoming stronger and stronger. The information on the Internet shows a trend of explosion, and information overload has also become a research hotspot. Due to the defects of cold start and sparse data, the traditional personalized recommendation algorithm will show the problem of accuracy degradation in the face of excessive information. Therefore, the traditional methods have been unable to adapt to the current needs of literature and art analysis. The goal of speech enhancement is to remove noise interference from noisy sounds and extract pure sounds as much as possible. Speech enhancement can reduce sound distortion, improve sound quality, and reduce hearing fatigue. At present, voice enhancement technology is widely used in products and fields such as mobile communications, computers, smart phone devices, and smart homes. First, this article will briefly introduce the artistic analysis of film and television works. Starting from the main characteristics of film and television works, according to the characteristics of various data lists based on visualization and visual data mining. Through visual data mining, the experimental data set used in this article is constructed based on various data types such as the main narrative element data set and the character action data set.
Novel effects of Ras-MAPK pathogenic variants on the developing human brain and their link to gene expression and inhibition abilities
Authors: Rai Bhavana , Naylor Paige , Sanchez Monica Siqueiros , Wintermark Max , Raman Mira , Jo Booil , Reiss Allan , Green Tamar 
Published: February 2023

Abstract

The RASopathies are genetic syndromes associated with pathogenic variants causing dysregulation of the Ras/mitogen-activated protein kinase (Ras-MAPK) pathway, essential for brain development, and increased risk for neurodevelopmental disorders. Yet, the effects of most pathogenic variants on the human brain are unknown. We examined: 1. How Ras-MAPK activating variants ofPTPN11/SOS1protein-coding genes affect brain anatomy. 2. The relationship betweenPTPN11gene expression levels and brain anatomy, and 3. The relevance of subcortical anatomy to attention and memory skills affected in the RASopathies. We collected structural brain MRI and cognitive-behavioral data from 40 pre-pubertal children with Noonan syndrome (NS), caused byPTPN11(n = 30) orSOS1(n = 10) variants (age 8.53 ± 2.15, 25 females), and compared them to 40 age- and sex-matched typically developing controls (9.24 ± 1.62, 27 females). We identified widespread effects of NS on cortical and subcortical volumes and on determinants of cortical gray matter volume, surface area (SA) and cortical thickness (CT). In NS, we observed smaller volumes of bilateral striatum, precentral gyri, and primary visual area (d's<-0.8), and extensive effects on SA (d's>|0.8|) and CT (d's>|0.5|) relative to controls. Further, SA effects were associated with increasingPTPN11gene expression, most prominently in the temporal lobe. Lastly,PTPN11variants disrupted normative relationships between the striatum and inhibition functioning. We provide evidence for effects of Ras-MAPK pathogenic variants on striatal and cortical anatomy as well as links betweenPTPN11gene expression and cortical SA increases, and striatal volume and inhibition skills. These findings provide essential translational information on the Ras-MAPK pathway's effect on human brain development and function.
Operational Fuel Models Map for Atlantic Landscapes Using ALS and Sentinel-2 Images
Authors: Solares-Canal Ana , Alonso Laura , Rincón Thais , Picos Juan , Molina-Terrén Domingo M. , Becerra Carmen , Armesto Julia 
Published: February 2023

Abstract
Background:
In the new era of extreme wildfire events, new fire prevention and extinction strategies are emerging using software that simulates fire behavior. Having updated fuel models maps is critical in order to obtain reasonable simulations. Previous studies have proven that remote sensing is a key tool for obtaining these maps. However, there are many environments where remote sensing has not yet been evaluated in an operational context. One of these contexts are Atlantic environments. In this study, we describe a remote-sensing-data-based methodology for obtaining an operational fuel models map for an Atlantic-vegetation-covered area in Galicia (Northwestern Spain). We used Sentinel-2 images and ALS (Aerial Laser Scanner) data.
Results:
We have developed a methodology that allows to objectify the fuel models mapping for this type of environments since. For that we obtained the correspondences between the vegetation of the area and Rothermel fuel models. Additionally, since the methodology relies in remote sensing data, it allows us to obtain upgradable fuel models maps. For the study area, we obtained a map with high accuracy metrics. The accuracy of the supervised classifications involved in the mapping ranges between 70% and 100% (user’s and producer’s accuracies).
Conclusions:
The obtained methodology and the upgradable fuel models map will help to improve fire prevention and suppression strategies in Atlantic landscapes, aiding to shift towards more modern fire-simulation-based mitigation strategies.
Simultaneous Densification and Improvement of Cold Spray Additively Manufactured Ti-6Al-4V Properties via Electro Plastic Treatment
Authors: Khalik Mohammed Abdul , Zahiri Saden H , Masood Syed H , Gulizia Stefan , Faizan-Ur-Rab Muhammad , Palanisamy Suresh 
Published: February 2023

Abstract
Large-scale industrial application of additively manufactured (AM) components in general, and specifically cold sprayed additive manufactured (CSAM), is limited due to the nature of this technology and the resulting product’s porosity and embrittlement. To improve the final properties of additive manufactured material, many lengthy, complex, or expensive post-treatments have been proposed. Reducing the environmental impact, cost and time required for additive manufacturing will allow for greater use in industrial applications. A novel thermomechanical treatment known as in-situ electro-plastic treatment (ISEPT) is used in this study to treat CSAM Ti-6Al-4V alloy known as grade 5 titanium. The Ti-6Al-4V alloy has approximately three times the strength and hardness of Commercial Purity Titanium (CP-Ti) with lower ductility and a dual-phase (α + β) microstructure that poses challenges during for the CSAM process. Compared to CP-Ti, the results showed that CSAM Ti-6Al-4V presented double the porosity and triple the number of ISEPT passes that presented ~ 2 µm ultra-fine grain microstructure. The ultrafine structures strength of the ISEPT material was superior to that of CSAM Ti-6Al-4V. The ISEPT passes consolidated the CSAM (α + β) dual-phase Ti-6Al-4V and allowed for nucleation of equiaxed grains at the vicinity of former CSAM splats boundaries. Formation of lamellar colonies within the splat’s inner regions was observed. The role of ISEPT conditions on rapid elimination of porosity and evolution of cold spray splat boundaries via dynamic recrystallization of Ti-6Al-4V were discussed.