bluuebunny/crossref_metadata_2025 huggingface dataset:
Application and Functional simulation of data mining technology in Hadoop cloud platform based on improved algorithm
Authors: Dai Nina
Published: February 2023

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

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

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

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

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

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

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 three fall risk assessment tools in community-dwelling Saudi elderlies: A prospective study
Authors: Alharbi Ahmad A.
Published: February 2023

The authors have requested that this preprint be removed from Research Square.
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

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

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

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

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

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

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.
An Optimal Strategy for Global Carbon Reduction Using Evolutionary Game Theory: A Study Based on the Paris Agreement
Authors: YAN Fulei , CHEN Beibei , WEN Chenqian , GUO Jie
Published: February 2023

Based on the Paris Agreement's principle of institutional arrangement for independent contributions to reduce CO2 emissions, we divided the Paris Agreement Parties into developed and developing countries as a game between the two sides. Under the assumption of limited rationality, the selection strategies of both sides are divided into three categories: strict adherence, partial compliance, and non-compliance. Using evolutionary game theory and methods to analyze the game strategies chosen by both sides, and using simulation methods to verify the scenarios under different parameters, the game subjects both strictly adhere to the carbon reduction agreement and do not perform the optimal strategy choice. We find that the developed countries' strict adherence to carbon reduction commitments has a very significant positive impact on carbon reduction in other countries. Therefore, we propose that it is a prerequisite for the developed countries to strictly adhere to the treaty obligations, which is the prerequisite for the implementation of the global carbon reduction target, and the developing countries' strict adherence to the treaty obligations is the key to realizing the goal. Moreover, we suggest that the international community should strengthen the supervision and implementation of the Paris Agreement, and provide more support and assistance to developing countries to ensure the successful implementation of the Paris Agreement.
Disrupted in Schizophrenia 1 reverse ectopic migration of neural precursors in mouse hilus after pilocarpine-induced status epilepticus
Authors: Chen Lu , Xu Jing , Zhu Lin , Xu Puying , Chang Lvhua , Han Yanbing , Wu Qian
Published: February 2023

Neural precursors in the subgranular zone (SGZ) can be stimulated by status epilepticus (SE) and ectopically migrate to the hilus. These mislocated cells serve as "potential pacemakers" of spontaneous recurrent seizures, and targeting them could potentially reverse the seizure process. Disrupted-in-Schizophrenia 1 (DISC1) regulates hippocampal neurogenesis after seizures bothin vitroandin vivo. Our previous study found that DISC1 was colocalized with neural precursors in the hilus after SE. However, its molecular mechanism and pathways contribute to the ectopic migration of neural precursors to the hilus induced by SE awaits exploration. Here, we showed that both Reelin-ApoER2/EphB2 and Reelin-Integrin β1/Integrin α5 axes may participate in the modulation of neurogenesis after SE. Especially, DISC1, as a protective role, partly reversed the ectopic progenitor migration via EphB2 pathway. Our findings demonstrated that DISC1 played a protective role in the ectopic migration of neural precursors induced by SE insults and DISC1 could be an attractive new target for the treatment of epilepsy.
Natural Enzymes from Germinated Winter Wheat (Triticum aestivum L) and Buckwheat ( Fagopyrum esculentum) for Chitin Isolation from Shrimp Shells
Authors: Ng Ying , Khor Jing Wei , Chang Ying Ping
Published: February 2023

The industrial approach for chitin extraction from crustaceans' shells involves chemical methods using a large amount of acid and alkaline. Using natural protease in combination with chemicals can reduce the use of the chemicals in extracting chitin. Crude enzymes from germinated winter wheat (Triticum aestivum) and buckwheat (Fagopyrum esculentum) were applied in the deproteinization step during chitin isolation from shrimp shells. Crude enzymes extracted from germinated winter wheat and buckwheat exhibited proteolytic activity of approximately 0.49 U/mL and 0.46 U/mL, respectively. Using these crude enzymes separately to remove protein from demineralized shrimp shells yielded 30.31 ± 5.31% and 29.15 ± 3.99% chitin, respectively. Functional groups and crystallinity index of chitin isolated with winter wheat or buckwheat enzymes were compared with commercially available chitin and chemical-isolated chitin through Fourier Transform Infrared Spectroscopy (FTIR) analysis and x-ray diffraction analysis. The characteristic functional groups observed were amide I, amide II, amide III, asymmetric stretching of the C-O-C bridge, O-H stretching, NH stretching and asymmetric CH stretching. The crystallinity index for commercial chitin, chemical-isolated chitin, wheat extract- and buckwheat extract-isolated chitin were 86.49%, 88.74%, 88.82% and 75.87%, respectively. Buckwheat extract-isolated chitin, which was deacetylated with lower crystallinity, warrants further investigation. Natural enzymes from winter wheat and buckwheat to remove protein from shrimp shells can be a more environment-friendly method to valorize shrimp shells as a chitin source.
The Diagnostic Value of the Systemic Immune-Inflammatory Index in Acute Appendicitis Cases in the Emergency Department
Authors: TELAFARLI Mehmet Ali , YENİ Mustafa
Published: February 2023

Background and aim:
Acute appendicitis (AA) is one of the most common causes of acute abdomen conditions and continues to cause mortality and morbidity despite all the improvements. There is still a necessity for inexpensive and easily calculable index and scoring systems with fewer side effects for the diagnosis of AA and the detection of complications. Since the systemic immune-inflammation index (SIII) is an index that could be used in this context, we aimed to measure the success and reliability of SIII for the diagnosis of AA and related complications and to contribute to the literature.
Methods
Our study was carried out retrospectively in a tertiary care hospital and conducted with 180 AA patients (study group-SG) and 180 control group (CG) patients. Demographic data, laboratory data, and clinical data of the cases, as well as Alvarado score (AS), Adult Appendicitis Score (AAS), and SIII and neutrophil/lymphocyte ratio (NLR) values calculated from laboratory data were recorded in the previously created study form. p < 0.05 was accepted as the significance level for the study.
Results
In this study, age and gender were similar in the SG and CG groups. SIII and NLR levels calculated in SG cases were found to be significantly higher than CG. In addition, SIII and NLR levels were found to be significantly higher in complicated AA cases than in complicated cases. Although SIII was more significant in the diagnosis of AA; NLR was more successful than SIII in detecting the presence of complications. SIII, NLR, AAS, and AS were significantly positively correlated in the diagnosis of AA. In the presence of peritonitis, SIII and NLR were also found to be significantly higher when compared to cases without peritonitis.
Conclusions
We found that SIII is a usable index in the diagnosis of AA and the prediction of complicated AA. However, NLR was found to be more significant than SIII in estimating complicated AA. In addition, it is recommended to be careful in terms of peritonitis in cases with high SIII and NLR levels.
Enterprise data security storage integrating blockchain and artificial intelligence technology in investment risk management
Authors: Wu Jiangong , Jiang Hongyan , Chen Jingxue
Published: February 2023

Some multinational enterprises have comparatively poor property and resource management. Materials Inventory information is easily lost during storage, which prevents managers from getting timely access to an enterprise's financial information., It increases the likelihood of foreign investment risks that results in financial crisis. Therefore, this paper presents a secure storage system of Material Inventory Data (MID) that integrates blockchain and artificial intelligence technology. The three components of blockchain are transaction, block, and chain which create a hierarchical structural model. The probability that the system is attacked by multiple intruders is calculated as the system constraint function, and the target constraint conditions are divided, and accordingly a model of the safe storage mechanism is established. Additionally, the incentive mechanism is used, in which several nodes come to an agreement on the block contents. It achieves model optimization and guarantees block income maximization. The simulation results demonstrate that the data storage delay time of the suggested system is shorter than that of the conventional approach. (Moreover, there is very little data loss, which helps to effectively ensure the integrity of enterprise data security storage).
The Occurrence and Extent of Anxiety and Distress among Dutch Travellers after encountering an Animal Associated Injury
Authors: Warmerdam Anouk M. T. , Luppino Floriana S. , Visser Leo G.
Published: February 2023

Background
Prompt administration of post-exposure prophylaxis (PEP) is crucial to prevent a fatal rabies infection after an animal-associated incident (AAI), preferably within 24 hours. PEP, especially in case of a type III injury for which rabies immune globulin (RIG) is needed, is difficult to obtain abroad. This, along with the fear of potentially having contracted a lethal disease, might be an important source for anxiety and distress. We investigated the occurrence and extent of self-reported anxiety and distress at different timepoints among Dutch travellers after encountering an AAI, and the involved factors.
Methods
A retrospective quantitative observational study was conducted including insured Dutch travellers who actively contacted Eurocross Assistance after encountering an AAI abroad. An online questionnaire was designed to measure anxiety and distress levels, using the HADS (Hospital Anxiety and Depression Scale) and distress thermometer at three time points: departure (T1), post-AAI (T2), and treatment administration (T3). Statistical analyses included T-tests, Chi-square tests, and ANCOVA analyses.
Results
We showed a significant increase in mean anxiety and distress scores at T2, and a significant decrease at T3. Women were more often anxious and distressed. Between T1 and T2, PrEP, and being aware of the risks were positively associated with anxiety levels, and PrEP and WHO region Africa with distress levels. Between T2 and T3, anxiety levels remained higher for monkey-induced injury, thoracic injuries, and WHO region Southeast Asia. PEP-delay between 24–48 hours resulted in decreased distress levels at this time period, while type II injury elevated distress levels.
Conclusions
This study showed significant anxiety and distress levels after an AAI among the vast majority of travellers, which is detrimental to their health-related quality of life (HR-QOL). This highlights the importance of proper pre-travel information. We recommend pre-travel advice to underline these aspects in relation to HR-QOL.
Efficacy and safety of alfentanil plus propofol versus propofol only in painless gastrointestinal endoscopy: a meta-analysis
Authors: Huan Yang , Xiaoling Shi , Longqiu Yang
Published: February 2023

Objective: To systematically evaluate the efficacy and safety of alfentanil plus propofol versus propofol-only for painless gastrointestinal endoscopy.
Methods: The Cochrane Library, PubMed, Embase, China Biology Medicine (CBM), CNKI, WanFang and VIP databases were searched to identify randomized controlled trials (RCTs) on alfentanil combined with propofol versus propofol only for painless gastrointestinal endoscopy from the inception of the database to August 2022. The Rev Man 5.4 software was used for statistical analyses.
Results: Thirteen RCTs involving 1762 patients were identified as eligible for this study. The meta-analysis showed that compared with propofol, alfentanil combined with propofol had a more stable mean arterial pressure (MD=5.38, 95%CI: 1.97～8.80; P=0.002), heart rate (MD=3.78, 95%CI: 1.30～6.26; P=0.003) and pulse oxygen saturation (MD=1.90, 95%CI: 0.93~2.78; P=0.0001); a lower propofol dose (SMD=-2.82, 95%CI: -3.70~-1.94; P<0.00001), awakening time (MD=-3.23, 95%CI: -4.01~-2.45; P<0.00001) and directional force recovery time (MD=-3.62, 95%CI: -4.22～-3.03; P<0.00001); a lower incidence of nausea and vomiting (RR=0.32, 95%CI: 0.14~0.71; P=0.005), body movement (RR=0.27, 95%CI: 0.13～0.54; P=0.0002), hypotension (RR=0.23, 95%CI: 0.12～0.46; P<0.0001), respiratory depression (RR=0.37, 95%CI: 0.15～0.89; P=0.03) and cough reflex (RR=0.33, 95%CI: 0.12~0.89; P=0.03).
Conclusion: This meta-study found that current evidence indicates that alfentanil plus propofol is better than propofol alone for painless gastrointestinal endoscopy and is associated with a lower incidence of adverse reactions. Due to the limited quality and quantity of the included studies, more high-quality studies are needed to validate these above conclusions.
Laminar-turbulent transition experiment on the effect of surface imperfections on an NLF airfoil in transonic flow
Authors: Methel Jeanne , Méry Fabien , Vermeersch Olivier , Forte Maxime , Delattre Gregory , Rouvière Adrien
Published: February 2023

In the present study, the effect of various twodimensional surface defects (forward-facing steps and ramps, backward-facing steps and ramps, gaps and steps-and-gaps) on boundary-layer transition was experimentally investigated in the transonic regime. A laminar profile was specifically designed and manufactured by ONERA so as to allow for a maximum of defects to be tested simultaneously, and to include resin pockets to accurately monitor laminar-turbulent transition using infra-red thermography. Transition was also characterised using the ∆N model based on linear stability calculations. Relatively good agreement with existing ∆N models for forward and backward facing steps as well as gaps was found, indicating that these models, which were mostly developed for incompressible flows, can still be used as a conservative estimate for compressible flows. More practical defects referred as step-and-gap were also considered.
A technology to reduce ammonia emission via controllingproteolytic bacterial community and physicochemical properties
Authors: Huang Ying , Chen Yuehong , Huang Hongying , Lin Jiujun , Yan Meiling , Guo Chengbao , Xiao Xu
Published: February 2023

Proteolysis is the rate-limiting step involved in ammonification during organic nitrogen mineralization, and which relates to the amount of ammonia (NH3) volatilized and ammonium (NH4+) released in the composts. However, the dynamic of bacterial proteolytic communities related with NH3 emissions in composting systems are mostly unknown. This study aimed to examine and compare the effects of hyperthermophilic pretreatment composting (HPC) and traditional composting (TC) on (i) the difference of NH3 loss and nitrogenous compounds; (ii) the dynamics of the proteolytic bacterial community participated in proteolysis in composting systems on the basis of the functional genes (npr and sub); (iii) the link between the proteolytic bacterial community, biophysiochemical characteristics and NH3 loss. Results revealed that the HPC was able to decrease NH3 loss by 41.5% compared to TC during 60-day composting, together with an inhibitory effect on protease activity. Particularly, the relative abundances of proteolytic bacteria (Bacillus megaterium and Staphylococcus cohnii) with high proteolytic capability reduced significantly in HPC. Partial least-squares path modeling suggested physicochemical properties such as higher temperature as well as lower C/N ratio played a dominant role in affecting the abundance of proteolytic bacteria, which may have been an important factor contributing to the lower NH3 loss in HPC. These findings suggest that HPC can significantly reduce NH3 loss and enhance our understanding of proteolytic bacteria in composting systems.
GSMDA: GCN-Based Semi-Supervised Multi-Modal Domain Adaptation for Real-Time Disaster Detection
Authors: Gou Yingdong , Wang Kexin , Wei Siwen , Shi Changxin
Published: February 2023

Nowadays, with the rapid expansion of social media as a means of quick communication, real-time disaster information is widely disseminated through these platforms. Determining which real-time and multi-modal disaster information can effectively support humanitarian aid has become a major challenge. In this paper, we propose novel end-to-end model, named GCN-based Semi-supervised Multi-modal Domain Adaptation (GSMDA), which consists of three essential modules: the GCN-based feature extraction module, the attention-based fusion module, and the MMD domain adaptation module. The GCN-based feature extraction module integrates text and image representations through GCNs, while the attention-based fusion module then merges these multi-modal representations using an attention mechanism. Finally, the MMD domain adaptation module is utilized to alleviate the dependence of GSMDA on source domain events by computing the maximum mean discrepancy across domains. our experiments results demonstrate that GSMDA outperforms the current state-of-the-art models in terms of performance and stability.
LCP2 expression is correlated with an abundance of immune infiltrates and is a potential prognostic biomarker in lung adenocarcinoma
Authors: zou sheng , Ye Jiayue , Zou Sheng , Tan Jiameng , Wei Yiping , Xu Jianjun
Published: February 2023

Objective:To investigate the effect of LCP2 expression in lung adenocarcinoma on the prognosis and microenvironment of patients.Methods:The expression of LCP2 in lung adenocarcinoma tissues and normal tissue samples were analyzed by the TCGA database. Kaplan–Meier survival analysis was used to evaluate the relationship between expression level and prognosis of patients. The effect of differential expression of LCP2 on tumor cells was verified by Colony formation, CCK-8, wound healing, Transwell, and apoptosis. To analyze the relationship between LCP2 expression and immune infiltration in lung adenocarcinoma cells. The expression level of LCP2 was significantly correlated with tumor immune cell infiltration and immune checkpoint expressionResults:LCP2 expression was downregulated in lung adenocarcinoma, and patients with a low expression level of lung adenocarcinoma had a poor prognosis. LCP2 overexpression significantly inhibited the proliferation, migration, invasion, and tumor sphere formation potential. LCP2 overexpression enhanced apoptosis. The expression level of LCP2 was significantly correlated with tumor immune cell infiltration and immune checkpoint expression.Conclusion:The expression of LCP2 is low in lung adenocarcinoma, which is related to the prognosis and tumor immunity of lung adenocarcinoma patients, and can be used as a potential target for the treatment of lung adenocarcinoma patients
Analysis of electrochemical machining of involute internal spline by foamed metal cathode
Authors: Huang Yi
Published: February 2023

The foamed metal material is novelty applied to manufacture the tool cathode to realize the electrochemical machining(ECM)of involute internal spline of difficult-to-cut materials. The porosity and electrolyte flow characteristics of the foamed brass cathode are analyzed. The geometric and mathematical model of involute internal spline by ECM is built, and the relevant electric field simulations with different machining voltages, electrolyte types and cathode feed rates which directly determined the ECM results are conducted by COMSOL Multiphysics software. From the simulation results, the suitable process parameters are obtained and then carried out process experiments. The experiment results show that the foamed metal material can be used to fabricate the tool cathode for ECM. And when the machining voltage is 10 V, the electrolyte is 2% NaCl + 8% NaNO3 solution, the cathode feed rate is 1.00 mm/min, the involute internal spline formed by axial ECM can get a better profile which basically meets the finishing requirements. The application of the foamed metal cathode laid a new technical foundation for the ECM to manufacture complex internal structures and from design theory to contemporary industrial praxis.
DSN1 may predict poor prognosis of lower-grade glioma patients and may be a potential target for immunotherapy
Authors: Liu Zhendong , cheng xingbo , Li Pengxu , Liang Wenjia , Zhu Qingyun , Zhang Jiangfen , Chang Haigang , GAO YANZHENG
Published: February 2023

Background: The effect of the DSN1 gene or its methylation in the prognosis, molecular characteristics, and immune cell infiltration of LGG has not yet been revealed.
Methods: We obtained 1046 samples from TCGA database, CGGA microarray database, and CGGA RNA-Seq database. A series of bioinformatics methods (GSEA, chi-square test, multivariate, and others) and laboratory validation were used to explore the value of DSN1 in LGG.
Results: The results confirmed that the expression levels of DSN1 mRNA and protein in LGG were significantly higher than those in normal brain tissues, and their expression was negatively regulated by its methylation. Moreover, the survival times of patients with low expression of DSN1 and hypermethylation of cg12601032 were significantly prolonged. More importantly, DSN1 was not only a risk factor but also had a good diagnostic value for patient prognosis. It must be emphasized that the expression of DSN1 is related to many kinds of tumor-infiltrating immune cells and has a positive relationship with PD-L1. Furthermore, the GSEA results showed that DSN1 promotes the activation of multiple cancer-related pathways, such as cell cycle. Finally, laboratory results showed knockdown of DSN1significantly inhibited the proliferation and invasion of LGG cells.
Conclusions: This study is the first comprehensive analysis of the mechanism of DSN1 leading to poor prognosis of LGG, which provides a new perspective for revealing the pathogenesis of LGG. DSN1 or its methylation not only has diagnostic value for the prognosis of glioma, but may also become a new biological target of anti-tumor immunotherapy.
Interpretable ML-based forecasting of CMEs associated with flares
Authors: Raju Hemapriya , Das Saurabh
Published: February 2023

Coronal Mass Ejections (CMEs) that cause geomagnetic disturbances at Earth can be found in conjunction with flares, filament eruptions, or independent. Though, flares and CMEs are understood as triggered by a common physical process magnetic reconnection, yet, the degree of association is challenging to predict. Using eight Machine Learning models, we attempted to predict the association of CMEs with flares. From Solar Dynamic Observatory/Helioseismicand Magnetic Imager (SDO/HMI) images, magnetic field features known as Space Weather HMI Active Region Patches (SHARPs) are derived and utilised as numerical input to ML models. Since flares with CME events are occasional, to address the class imbalance, we have explored approaches such as undersampling majority class, oversampling minority class and Synthetic Minority Oversampling TEchnique (SMOTE) on the training data. We observe that the SVM and LDA performs best among all with True Skill Score (TSS) around 0.78±0.09 and 0.8±0.05 respectively. To improve the predictions, we attempted to incorporate differences in features from the prior time lag data as temporal information along side the existing dataset. LDA achieves a TSS of 0.92±0.04. We study important SHARP features that are essential for formulating predictions of SVM and LDA models using the wrapper technique and permutation based model interpretation methods for both the approaches. The study will help in better understanding of the physical processes as well in developing real time prediction of the CME events.