bluuebunny/crossref_metadata_2025 huggingface dataset:
Shared decision making in cardiology: a systematic review and meta-analysis
Authors: Mitropoulou Panagiota , Grüner-Hegge Nicolai , Reinhold Johannes , Papadopoulou Charikleia
Published: August 2022

Objectives

To evaluate the effectiveness of interventions to improve shared decision making (SDM) in cardiology with particular focus on patient-centred outcomes such as decisional conflict.

Methods

We searched Embase (OVID), the Cochrane library, PubMed and Web of Science electronic databases from inception to January 2021 for randomised controlled trials that investigated the effects of interventions to increase SDM in cardiology. The primary outcomes were decisional conflict, decisional anxiety, decisional satisfaction or decisional regret; a secondary outcome was knowledge gained by the patients.

Results

Eighteen studies which reported on at least one outcome measure were identified, including a total of 4419 patients. Interventions to increase SDM had a significant effect on reducing decisional conflict (standardised mean difference (SMD) −0.211, 95% CI −0.316 to −0.107) and increasing patient knowledge (SMD 0.476, 95% CI 0.351 to 0.600) compared with standard care.

Conclusions

Interventions to increase SDM are effective in reducing decisional conflict and increasing patient knowledge in the field of cardiology. Such interventions are helpful in supporting patient-centred healthcare and should be implemented in wider cardiology practice.
Relationship between orthostatic blood pressure changes and intensive blood pressure management in patients with hypertension
Authors: Pei Junyu , Zhang Hao , Li Yanan , Yan Jiafu , Zheng Keyang , Wang Xiaopu , Zheng Xi-Long , Hu Xinqun
Published: August 2022

Introduction

The Systolic Blood Pressure Intervention Trial (SPRINT) demonstrated that closely controlling blood pressure (BP) could decrease cardiovascular outcome risk without increasing the orthostatic hypotension rate. We aimed to evaluate the association between baseline orthostatic BP change and major adverse cardiovascular event (MACE) occurrence.

Methods

We conducted a post hoc analysis using SPRINT data including 9329 patients with hypertension. The SPRINT trial was a two-arm, multicentre, randomised clinical trial designed to test whether an intensive treatment aimed at reducing systolic BP (SBP) to <120 mm Hg would reduce cardiovascular disease risk. Orthostatic BP change was defined as baseline standing systolic BP (SBP)−baseline mean seated SBP, or diastolic BP (DBP)−baseline mean seated DBP.

Results

We found a U-shaped relationship between orthostatic BP changes and MACE occurrence. All lowest risk points were around 0 mm Hg. On the left side of the inflection point, MACE risk decreased with orthostatic BP change decrease (HR=0.99, 95% CI (0.98 to 1.00), p=0.04, SBP change) (HR=0.97, 95% CI (0.95 to 0.99), p<0.01, DBP change); on the right side, MACE risk increased with orthostatic BP change increase (HR=1.02, 95% CI (1.01 to 1.06), p<0.01, SBP change) (HR=1.01, 95% CI (1.00 to 1.03), p=0.16, DBP change). There was no significant interaction effect between orthostatic SBP (p for interaction=0.37) or DBP changes (p for interaction=0.33) and intensive BP management.

Conclusions

Orthostatic DBP increase and SBP decrease were associated with an increased MACE risk. The benefits of intensive BP management were also consistent across different orthostatic BP change ranges.
Quantification of human embryonic ζ-globin chains in Southeast Asian deletion (--SEA) carriers
Authors: Ye Yuhua , Sun Guoying , Ren Zhe , Liang Yidan , Luo Hualei , Lin Peng , Wang Xingmin , Dong Zejun , Huang Li , Qin Lang , Yu Wenfang , Wang Ge , Zhou Yuqiu , Tang Jia , Lou Jiwu , Liu Yanhui , Zeng Xianqi , Chen Yajun , Li Yihong , Zhang Qianqian , Huang Jin , Zhu Ping , Lin Liang , Zhang Xinhua , Xu Xiangmin
Published: August 2022

Aims

Reactivation of embryonic ζ-globin is a promising strategy for genetic treatment of α-thalassaemia. However, quantification of ζ-globin as a quantitative trait in α-thalassaemia carriers and patients remains incompletely understood. In this study, we aimed to set up a reliable approach for the quantification of ζ-globin in α-thalassaemia carriers, followed by a population study to investigate its expression patterns.

Methods

ζ-globin was purified as monomers from cord blood haemolysate of a Hb Bart’s fetus, followed by absolute protein quantification, which was then tested by in-house ELISA system and introduced as protein standard. It was then used for large-scale quantification in peripheral blood samples from 6179 individuals. Finally, liquid chromatography-tandem mass spectrometry (LC-MS/MS) introduced as an independent validating approach by measuring ζ-globin expression in a second cohort of 141-SEA/αα carriers.

Results

The ELISA system was proved sensitive in distinguishing individuals with varied extent of ζ-globin. Large scale quantitative study of this --SEA/αα carrier cohort indicated the high diversity of ζ-globin expression ranging from 0.00155 g/L to 1.48778 g/L. Significant positive correlation between ELISA and LC-MS/MS (R=0.400, p<0.001) was observed and it is more sensitive in distinguishing the samples with extreme expression of ζ-globin (R=0.650, p<0.001).

Conclusion

Our study has reported reliable approaches for the quantification of ζ-globin and presented the expression patterns of ζ-globin among the --SEA/αα carrier population, which might lay a foundation on subsequent genotype–phenotype studies on mechanisms of delayed haemoglobin switch in α-thalassaemia.
Intermittent and Persistent Type 2 lupus: patient perspectives on two distinct patterns of Type 2 SLE symptoms
Authors: Eudy Amanda M , Rogers Jennifer L , Corneli Amy , McKenna Kevin , Maheswaranathan Mithu , Pisetsky David S , Criscione-Schreiber Lisa G , Doss Jayanth , Sadun Rebecca E , Sun Kai , Clowse Megan E B
Published: August 2022

Objective

We have developed a new conceptual model to characterise the signs and symptoms of SLE: the Type 1 and 2 SLE Model. Within the original model, Type 1 SLE consists of inflammatory manifestations like arthritis, nephritis and rashes; Type 2 SLE includes symptoms of fatigue, myalgia, mood disturbance and cognitive dysfunction. Through in-depth interviews, we explored how the Type 1 and 2 SLE Model fits within the lived experience of patients with SLE, with a focus on the connection between Type 1 and Type 2 SLE symptoms.

Methods

Semistructured in-depth interviews were conducted among adult participants meeting 1997 American College of Rheumatology or Systemic Lupus International Collaborating Clinics criteria for SLE. Participants were purposefully selected for age, race, sex and nephritis history. All interviews were audio-recorded and transcribed. Data were analysed through episode profile and thematic analysis.

Results

Through interviews with 42 patients with SLE, two patterns of Type 2 SLE emerged: Intermittent (n=18) and Persistent (n=24). Participants with Intermittent Type 2 SLE described feeling generally well when Type 1 is inactive; these participants were younger and had more internal SLE manifestations. Participants with Persistent Type 2 described always experiencing Type 2 symptoms despite inactive Type 1, although the severity may fluctuate. Participants with Persistent Type 2 SLE experienced traditional lupus symptoms of joint pain, hair loss and rash, but less often had severe organ system involvement.

Conclusions

By listening to the stories of our patients, we found two underlying patterns of Type 2 SLE: Intermittent Type 2 symptoms that resolve in synchrony with Type 1 inflammatory symptoms, and Persistent Type 2 symptoms that continue despite remission of Type 1 symptoms.
Association of body mass index with outcomes in patients with newly diagnosed atrial fibrillation: GARFIELD-AF
Authors: Camm Christian Fielder , Virdone Saverio , Goto Shinya , Bassand Jean-Pierre , van Eickels Martin , Haas Sylvia , Gersh Bernard J , Pieper Karen , Fox Keith A A , Misselwitz Frank , Turpie Alexander G G , Goldhaber Samuel Z , Verheugt Freek , Camm John , Kayani Gloria , Panchenko Elizaveta , Oh Seil , Luciardi Hector Lucas , Sawhney Jitendra Pal Singh , Connolly Stuart J , Angchaisuksiri Pantep , ten Cate Hugo , Eikelboom John W , Kakkar Ajay K
Published: August 2022

Objective

While greater body mass index (BMI) is associated with increased risk of developing atrial fibrillation (AF), the impact of BMI on outcomes in newly diagnosed AF is unclear. We examine the influence of BMI on outcomes and whether this is modified by sex and evaluate the effect of non-vitamin K oral anticoagulants (NOACs) in patients with high BMI.

Methods

GARFIELD-AF is a prospective registry of 52 057 newly diagnosed AF patients. The study population comprised 40 482 participants: 703 underweight (BMI <18.5 kg/m2), 13 095 normal (BMI=18.5–24.9 kg/m2), 15 043 overweight (BMI=25.0–29.9 kg/m2), 7560 obese (BMI=30.0–34.9 kg/m2) and 4081 extremely obese (BMI ≥35.0 kg/m2). Restricted cubic splines quantified the association of BMI with outcomes. Comparative effectiveness of NOACs and vitamin K antagonists (VKAs) by BMI was performed using propensity score overlap-weighted Cox models.

Results

The median age of participants was 71.0 years (Q1; Q3 62.0; 78.0), and 55.6% were male. Those with high BMI were younger, more often had vascular disease, hypertension and diabetes. Within 2-year follow-up, a U-shaped relationship between BMI and all-cause mortality was observed, with BMI of ~30 kg/m2associated with the lowest risk. The association with new/worsening heart failure was similar. Only low BMI was associated with major bleeding and no association emerged for non-haemorrhagic stroke. BMI was similarly associated with outcomes in men and women. BMI did not impact the lower rate of all-cause mortality of NOACs compared with VKAs.

Conclusions

In the GARFIELD-AF registry, underweight and extremely obese AF patients have increased risk of mortality and new/worsening heart failure compared with normal or obese patients.
Going ‘Super Value’ in New Zealand: cigarette pricing strategies during a period of sustained annual excise tax increases
Authors: Gendall Philip , Gendall Katherine , Branston J Robert , Edwards Richard , Wilson Nick , Hoek Janet
Published: August 2022

Background

Between 2010 and 2020, the New Zealand (NZ) Government increased tobacco excise tax by inflation plus 10% each year. We reviewed market structure changes and examined whether NZ tobacco companies shifted excise tax increases to maintain the affordability of lower priced cigarette brands.

Methods

We cluster-analysed market data that tobacco companies supply to the NZ Ministry of Health, created four price partitions and examined the size and share of these over time. For each partition, we analysed cigarette brand numbers and market share, calculated the volume-weighted real stick price for each year and compared this price across different price partitions. We calculated the net real retail price (price before tax) for each price partition and compared these prices before and after plain packaging took effect.

Results

The number and market share of Super Value and Budget brands increased, while those of Everyday and Premium brands decreased. Differences between the price of Premium and Super Value brands increased, as did the net retail price difference for these partitions. Following plain packaging’s implementation, Super Value brand numbers more than doubled; contrary to industry predictions, the price difference between these and higher priced brands did not narrow.

Conclusions

Between 2010 and 2020, NZ tobacco companies introduced more Super Value cigarette brands and shifted excise tax increases to reduce the impact these had on low-priced brands. Setting a minimum retail price for cigarettes could curtail tobacco companies’ ability to undermine tobacco taxation policies designed to reduce smoking.
Effects of fishing mortality on the age structure of marine fishes
Authors: Charbonneau Julie A. , Keith David M. , MacNeil M. Aaron , Hutchings Jeffrey A.
Published: August 2022

Marine fisheries have a long history of exploitation, with the potential to shape many life history traits, particularly those that are heritable, such as age and size at maturity. Here, we analyze 43 marine fish stocks, using prewhitened cross-correlations, to examine the relationship between past levels of fishing mortality ( F) and resulting shifts in age structure. Significant cross-correlations between F and age structure were evident in 88% of stocks examined. For 37% of stocks, changes in age structure followed changes in F, whereas in 39% of cases age structure preceded changes in F. Sensitivity and response time varied widely, likely a result of management, past exploitation, and life history. The efficacy of our method was tested empirically by simulations, revealing that certain time-series properties (e.g., high variance and low strength correlation) have potential to obscure underlying associations. Methods that allow for the identification of sensitivity and response time to pressures such as fishing contribute to the development of stock-specific management measures that can protect, or rebuild, age structure.
Insights about wood density in Atlantic Forest ecosystems: spatial variability and alternative measurement
Authors: Minini Daniela , da Silva João Gabriel Missia , Paula Ranieri Ribeiro , Rocha Sofia Maria Gonçalves , Filho Telmo Borges Silveira , Gaui Tatiana Dias , Dias Henrique Machado , Nabais Cristina , Vidaurre Graziela Baptista
Published: August 2022

Basic wood density (BWD) is a functional characteristic important to quantify carbon storage and is related to tree growth and its survival. We investigated BWD variability among tree species, populations, and forest types across the Atlantic Forest biome in Rio de Janeiro state, Brazil. We sampled and measured 576 trees of 83 species in 28 natural ecosystems in the Dense Ombrophilous Forest, Seasonal Semi-deciduous Forest, and the Restinga Forest. Stem wood from two different heights at each tree was acquired using a drill borer; discs were removed from branches in 20% of the height from 39 trees. BWD means increased from 0.42 for the most humid ecosystem to 0.675 g⋅cm−3 from the driest ecosystem. We identified changes in the wood as a result of climatic variables particular to different typologies, such as increased wood density in areas with lower precipitation and higher temperatures, were also observed within species, but with little difference in means. We identified three groups of species according to their BWD, different in mean height and diameter. The branches can be used to estimate tree wood density.
Impedance modelling and collective effects in the Future Circular e+e− Collider with 4 IPs
Authors: Migliorati M. , Antuono C. , Carideo E. , Zhang Y. , Zobov M.
Published: August 2022

The FCC-ee impedance model is being constantly updated closely following the vacuum chamber design and parameters evolution. In particular, at present, a thicker NEG coating of 150 nm (instead of previous 100 nm) has been suggested by the vacuum experts, and a more realistic impedance model of the bellows has been investigated. Moreover, also the transverse impedance has been updated by considering the same sources as for the longitudinal case. Therefore, the FCC-ee impedance database is getting more complete and the impedance model is being refined. In this paper we describe the presently available machine coupling impedance in both longitudinal and transverse planes, and study the impedance-driven single bunch instabilities (with and without beam-beam interaction) for the new FCC-ee parameter set with 4 interaction points (IPs). The results are compared with the previously obtained ones and a further possible mitigation of the beam-beam head-tail instability (X-Z instability) is proposed.
Bedforms of Bonifacio Strait (Western Mediterranean): hydrodynamics, coastal outline, supply and sediment distribution
Authors: Deiana Giacomo , Demurtas Valentino , Orrù Paolo Emanuele
Published: August 2022

This paper shows the results of high-resolution survey on the continental shelf of Bonifacio Strait (north Sardinia). Multisensor and multiscale data obtained by means of sub-bottom profiler CHIRP and multibeam and side-scan sonar made it possible to identify the morphological features of bedforms. The analysis of both side-scan sonar sonograms mosaic and high-resolution seismic data allowed us to perform a detailed mapping of various substrates highlighting the presence of complex bedform associations. These bedform associations are typical of continental shelf environments affected by high-speed bottom currents. Multisource data analysis integrated by sedimentological study allowed us to identify the directions of sediment movements on the seabed and the progradation of bedforms. Locally, it was found that the bedforms of mobile bottoms are still active and they persist for more than a decade. The path of the currents’ circulation revealed that in the Bonifacio Strait, the bottom currents flow westwards, opposed to the prevailing sea surface flows.
Investigating disembodied university crisis communications during COVID-19
Authors: Sparby Derek , Cox Courtney
Published: August 2022

The COVID-19 pandemic has shown us many weaknesses in crisis communication, especially at universities where campus communities are often rendered as disembodied monoliths. In this article, we select a case example from our own institution to show that when bodies are erased from university crisis communication, power imbalances are reinscribed that render campus community members powerless. Using a critical feminist methodology, we end with several suggestions for more inclusive embodied institutional crisis messaging.
Experience report streamlining complex website design using a content audit selection heuristic
Authors: Altamirano Amanda , Stephens Sonia H.
Published: August 2022

In this project experience report, we describe our experience working as researchers specializing in technical communication that informed the risk communication decisions for an interdisciplinary, grant-funded, risk communication website called HazardAware. We first discuss how content audits serve as a website design research method. Next, we provide our Content Audit Selection heuristic in a process flowchart format to enable communicators to understand how practical application of content audits serve as a formative tool to streamline the decision-making processes for complex website design content. Finally, we describe how we used the Content Audit Selection heuristic to inform the risk communication decisions for HazardAware.
Digital humanities and technical communication pedagogy
Authors: Ballentine Brian
Published: August 2022

Technical communication instructors, especially those with expertise in visual rhetoric, information design, or multimedia writing are well-suited to teach an introductory Digital Humanities (DH) course. Offering a DH course provides an opportunity to reach extrafield audiences and work with students from a variety of humanities disciplines who may not have the option of taking such a course in their home department. The article advocates for a DH course that offers a methods-driven pedagogy that engages students with active learning by requiring them to research, dissect, and report on existing DH projects, as well as work with existing datasets and methods from prior student research projects or existing DH tools. The sample student project reviewed here uses the data visualization software ImagePlot, and discussion includes how the student used the tool to examine changes in brightness, hue, and color saturation, as well as calculate the total number of distinct shapes from 397 comic book covers. Ultimately, the students are tasked with developing a research question and moving to an articulated methods-driven approach for exploring the question. The student project along with the tools and sample datasets available with them are treated as a module that may be included in an introductory DH course syllabus or training session.
Reduction of Energy Consumption in Lithium Electrolytic Cell by Improving Design and Operating Conditions
Authors: Meléndez Juan Manuel , Désilets Martin , Lantagne Gaétan
Published: August 2022

Molten salt electrolysis is an efficient process to obtain metallic lithium but requires a considerable amount of energy. The use of a grooved diaphragm and rotating electrodes were studied using an advanced numerical model representing an experimental lithium electrolytic cell with the finality to reduce the required energy. Simulations were conducted using a turbulent (k-ε) model to solve the two-phase flow coupled to the transient mass transport inside a 2D axisymmetric electrolysis cell. The model also considers the recombination of Li with chlorine gas (Cl2), a backreaction that is detrimental to efficiency and energy consumption. The vertical diaphragm with grooves produces a reduction of 26.7% in energy consumption in comparison with the ungrooved design but increases by four times the amount of recombined lithium in the process. To decrease that recombination, the grooved diaphragm was inclined toward the anode. A vertical angle of 85° helps to reduce the energy consumption by 23.5% with approximately the same recombined lithium mass when compared to the vertical ungrooved design. The use of a rotating cathode with at an angular velocity of 0.25 rad s−1 results in a 40% decrease in energy consumption in addition to a decrease of 87.4% in metallic Li reconversion, in comparison with non-porous ungrooved diaphragm design.
An RBF Neural Network Clustering Algorithm Based on K-Nearest Neighbor
Authors: Li Jitao , Xu Chugui , Liang Yongquan , Wu Gengkun , Liang Zhao
Published: August 2022

Neural network is a supervised classification algorithm which can deal with high complexity and nonlinear data analysis. Supervised algorithm needs some known labels in the training process, and then corrects parameters through backpropagation method. However, due to the lack of marked labels, existing literature mostly uses Auto-Encoder to reduce the dimension of data when facing of clustering problems. This paper proposes an RBF (Radial Basis Function) neural network clustering algorithm based on K-nearest neighbors theory, which first uses K-means algorithm for preclassification, and then constructs self-supervised labels based on K-nearest neighbors theory for backpropagation. The algorithm in this paper belongs to a self-supervised neural network clustering algorithm, and it also makes the neural network truly have the ability of self-decision-making and self-optimization. From the experimental results of the artificial data sets and the UCI data sets, it can be proved that the proposed algorithm has excellent adaptability and robustness.
Complete Genome Sequencing of Polar Arthrobacter sp. PAMC25284, Copper Tolerance Potential Unraveled with Genomic Analysis
Authors: Karmacharya Jayram , Shrestha Prasansah , Han So-Ra , Park Hyun , Oh Tae-Jin
Published: August 2022

The genus Arthrobacter is a known group of Gram-positive, opportunistic pathogenic bacteria from cold climates, with members that are believed to play a variety of roles at low temperatures. However, their survival mechanisms in frigid environments like the Antarctic are still unknown. We identified a species of Arthrobacter isolated from seawater in the polar region using 16S rRNA sequence analysis. The strain PAMC25284 genome consists of a circular chromosome with a GC content of 65.6% and is projected to contain 3,588 genes, of which 3,150 are protein coding, 366 are pseudogenes, 19 are rRNA coding, and 50 are tRNA coding genes. Using comparative genomics, we showed that PMAC25284 has copper-transporting ATPases, copper chaperone, copper-responsive transcriptional regulator, and multi-copper oxidase domains, which are found in both Gram-positive (like Mycobacterium tuberculosis and Enterococcus hirae) and Gram-negative bacteria (like E. coli and Pseudomonas aeruginosa). The existence of 4 multi-copper oxidase genes, which supplied an additional copper defense mechanism, could be intriguing information regarding Gram-positive bacteria such as Arthrobacter sp. PAMC25284. In addition, our strain PAMC25284 has the same MmcO gene as M. tuberculosis, with a locus tag KY499_RS04055 similarity of 40.61%, which is the highest among the Gram-positive and Gram-negative bacteria studied for this gene. Our cold-adapted Arthrobacter sp. strain PAMC25564 was published previously but did not contain a multi-copper oxidase domain-containing gene, but strain PAMC25284 was studied in this study.
Industrial Information Security Detection and Protection: Monitoring and Warning Platform Architecture Design and Cryptographic Antitheft Technology System Upgrade
Authors: Wang Lijun , Guo Xian , Zhang Xiaofan , Gang Zhanhui
Published: August 2022

Industrial information security is an important part of the national security strategy that affects the economy and people’s lives. With the rapid development of automation and information technology, common protocols and common hardware and software based on information technology are increasingly used in industrial information control system products and are widely used in industries such as energy, metallurgy, water resource management, chemical, and production. Attacks on critical industrial information can not only cause accidents, losses, and local production pollution but also disrupt the balance of supply and demand of raw materials in the area covered by the system. Therefore, it is of great theoretical and practical importance to study industrial information security as an important measure to ensure the stable operation of the system. In this paper, we analyze the main industrial structure characteristics, external environment, and security requirements and propose a monitoring and warning platform architecture with cryptographic antitheft technology system based on hierarchical modeling and closed-loop control. It can prevent the spread of the attack and reduce its negative impact.
[Retracted] Application Effect Analysis of a Nanotube Combined with Orthopedic Exercise Rehabilitation Therapy in the Treatment of Patients with Knee Arthritis
Authors: Zhang Jie , Xing Zhongyou
Published: August 2022

Knee arthritis is one of the common diseases with the highest incidence in osteoarthrosis, which seriously affects people’s health, and as the patient’s medical history prolongs, the pain degree becomes more and more serious. In recent years, with the rapid development of nanotechnology, its application scope has gradually been involved the medical field. The application of nanotube‐targeted drugs to treat osteoarthritis can repair bone to a certain extent and relieve patient pain symptom. Sports rehabilitation therapy, as an important nursing method in orthopedic treatment, can improve the patient’s body recovery ability and enhance the therapeutic effect of surgery. Based on this, this article proposes the application research of a nanotube combined with exercise rehabilitation therapy in the treatment of patients with knee arthritis. The research carried out in this article is mainly divided into three parts: the first part is the research of titanium dioxide nanotubes in orthopedic treatment, studying the diameter and drug loading of nanotubes, research on how to target the damaged bone tissue and release drugs, and discussing the tissue compatibility and safety of nanotubes to the human body; the second part is the study on exercise rehabilitation therapy in orthopedic treatment and study on how to exercise properly to enhance the patient’s body recovery; the third part is clinical investigation and research, according to the observation group in contrast with the indicators of the control group to draw conclusions. The results of this experiment show that in the clinical treatment of knee arthritis surgery, in the analysis of postoperative patients, the scores of the three groups of patients before treatment were relatively low, with scores ranging from 5 to 8, but the scores of the observation group were significantly higher than those of the first and second groups. The observation group ranged from 7 to 10. The joint scores of the observation group gradually increased at 1 week and 2 weeks after treatment. The increase in functional score was more pronounced. For patients with a longer medical history, perform appropriate helping exercises. Titanium dioxide nanotubes have good antibacterial properties as an endoplant and good histocompatibility with human bones. In the observation group combined with exercise therapy, various complications such as pain, swelling, and muscle atrophy were relatively small, allowing the patient to speed up the recovery of various body functions.
Design of Repository and Search Platform for Art Painting Teaching Resources in Universities Based on Model of Decision Tree
Authors: Liu Yuling
Published: August 2022

At present, art education curriculum reform is in full swing. Art education in China started late but as an important element of quality education. Art education is particularly important today with rapid economic development and advanced technology. The art subject is the sum of the teaching content of the art subject and the execution of teaching activities expressed through the network, including two components: the teaching content organized according to specific teaching objectives and teaching strategies and the network teaching support environment. Unlike existing multimedia courseware, several features reflect the advantages of online education, unlike online courseware. Each school generates a large amount of student performance data every year, and existing systems only perform simple backups, queries, and statistics on these data, which do not reflect the weaknesses of education in a centralized and comprehensive manner. Data mining can extract valuable information hidden behind the data from a large amount of data and has been applied in more and more fields with good results, which helps people to make correct decisions. In this study, we propose a decision tree model-based repository and search platform for school art and painting education resources, briefly outline the decision tree model, and analyze the architecture and operation of the school art and painting education resources repository and search platform. The experimental results show that the Virginica accuracy of the decision tree model is 0.42 higher than that of C4.5, which greatly improves the accuracy of the preferred class and ensures the overall accuracy remains unchanged. Therefore, this system realizes the art education resource repository system and realizes the needs of college users to share art professional information and resources.
Industrial Land Performance Assessment Based on Fuzzy Analytic Hierarchy Process
Authors: Lv Jing , Ge Sijia
Published: August 2022

The use of industrial land tends to be standardized and rational, but the total amount of developed industrial land has reached its limit in many places. Under such circumstances, industrial transformation and upgrading are difficult, and how to improve the quality and efficiency of the stock space must become the key to the problem. Therefore, this paper proposes to take X city industrial land as the research object, with the help of multidimensional feature analysis of spatial performance evaluation, and apply the method of Fuzzy analytic hierarchy process to explore the refined utilization of industrial land promoted by spatial calculation. Through example analysis, the results of site-specific spatial performance evaluation are derived by using various weighted evaluation factors.
Calculation and Analysis of Nonlinear Algorithm for Stability of Nanosilica Powder Soft Soil Pile Foundation
Authors: Sun Jinbo , Guo Li , Gong Liang , Zheng Fei , Hao Hao
Published: August 2022

In order to reasonably evaluate the stability of the embankment supported by the rigid pile composite foundation, a nonlinear algorithm calculation and analysis method for the stability of the nanosilica powder soft soil pile foundation is proposed. First, the soft soil foundation reinforced by the composite structure of “piles (prestressed pipe piles, (cement fly-ash gravel, CFG) piles)—pile caps—geotextile pads” is analyzed through the soft soil embankment test section of the Wenfu high-speed railway. Second, the compressive modulus under one-dimensional confining compression is calculated using the layered summation method. Finally, the deep lateral deformation of the pile foundation soil is measured by an inclinometer to evaluate the actual displacement of the pile foundation soil. In the standard method, the empirical coefficient 1.1–1.7 is multiplied on the basis of the calculation result of this method to correct the calculation error. Combined with the test results, it is shown that nanosilica powder can give full play to its excellent characteristics: promoting hydration speed and hydration degree through the reaction of pozzolan refining and consuming Ca(OH)2 crystals produced by cement hydration. Soft soils and modified soft soils: a certain amount of nanosilica powder can significantly improve the strength of soft soil at different ages.
The Safe Financial Processing Method for Realizing Supply Chain Integrated Business Intelligence Using Blockchain Application Scenarios
Authors: Tan Xianqiu , Mojtahe Kaza
Published: August 2022

In order to improve the financial processing effect of supply chain integrated business intelligence, this study applies blockchain technology to the financial processing of supply chain integrated business intelligence and conducts an evolutionary game analysis on the factors that affect the selection of information-sharing strategies for logistic service supply chain nodes. By establishing the evolutionary game model of logistic service integrators and logistic service providers under the strategy of information sharing and information nonsharing, the value of information sharing in the logistic service supply chain is discussed from a qualitative and quantitative perspective. In addition, this study constructs the expected profit mathematical model of a two-level logistic service supply chain composed of logistic service integrators and logistic service providers. The experimental research results show that the safe financial processing method for realizing supply chain integrated business intelligence using blockchain application scenarios has good results.
Medication Regularity of Traditional Chinese Medicine in the Treatment of Aplastic Anemia Based on Data Mining
Authors: Dong Nanxi , Zhang Xujie , Wu Dijiong , Hu Zhiping , Liu Wenbin , Deng Shu , Ye Baodong
Published: August 2022

Objective. Aplastic anemia (AA) is an uncommon disease, characterized by pancytopenia and hypocellular bone marrow, but it is common in the blood system. The medication rules of traditional Chinese medicine (TCM) in the treatment of AA are not clear, for which it is worth exploring the medication rules by data mining methods. Methods. This study used SPSS Modeler 18.0 and SPSS statistics to analyze the cases of AA from Zhejiang Provincial Hospital of Chinese Medicine (ZJHCM) from March 1, 2019, to March 1, 2022. Data mining methods, including frequency analysis, cluster analysis, and association rule learning, were performed in order to explore the medication rules for AA. Results. (1) A total of 859 prescriptions, which met the inclusion criteria, consisted of 255 herbs. In descending order of the frequency of herbal medicine, we have Danggui, Huangqi, Shudihuang, Fuling, Gancao, Shanyao, Shanzhuyu, Baizhu, Dangshen, and Xianhecao. (2) Frequency analysis of herb properties: the Four Qi of 255 kinds of TCMs are mainly warm and neutral medicines. The Five Flavors are mainly sweet medicines, followed by bitter medicines. The main meridians are the liver, spleen, and kidney. (3) Clustering of medications: TCMs with the top 20 frequencies are classified into 9 groups by cluster analysis. (4) Association rule analysis of high-frequency herbs: using the Apriori algorithm, the results showed that there were 3 herb pairs with support of over 0.3 and 12 herb pairs with confidence above 0.85. Conclusion. The basic pathogenesis of AA (Sui Lao) is spleen and kidney essence deficiency, Qi deficiency, and blood stasis. The main herbs have warm and neutral properties, sweet tastes, and liver, spleen, and kidney meridian tropisms, whose purpose is to tonify the kidney and invigorate the spleen, tonify Qi, and promote blood circulation.
An Image Fusion Algorithm Based on Improved RGF and Visual Saliency Map
Authors: Li Yang , Yang Haitao , Gao Yuge
Published: August 2022

To solve the artifact problem in fused images and the lack of enough generalization under different scenarios of existing fusion algorithms, the paper proposes an image fusion algorithm based on improved RGF and visual saliency map to realize fusion for infrared and visible light images and a multimode medical image. Firstly, the paper uses RGF (rolling guidance filter) and Gaussian filter to decompose the image into the base layer, interlayer, and detail layer by a different scale. Secondly, the paper obtains a visual weight map by the calculation of the source image and uses the guided filter to better guide the base layer fusion. Then, it realizes the interlayer fusion through maximum local variance and realizes the detail layer fusion through the maximum absolute value of the pixel. Finally, it obtains the fused image through weight fusion. The experiment demonstrates that the proposed method shows better comprehensive performance and obtains better results in fusion for infrared and visible light images and medical images compared to the contrast method.
Design of an Image Integrated Processing System for Improving Efficiency of Electric Vehicle Supporting Products
Authors: Xu Jianyun , Wang Hui , Lin Shuang , He Li
Published: August 2022

This study analyzes a solution that requires efficient and comprehensive processing of images of a large number of vehicles and their related parts, such as batteries, plastic fastening components, and brake discs, during the design investigation of electric vehicle accessories. The problem involves the extraction of the outer contours of different components, which is important to build a comprehensive image processing system that can handle different vehicle accessories. In this study, a comprehensive image processing system is proposed, which introduces an improved GrabCut and computer vision methods. It can complete the positioning of vehicle batteries, the fastening of automobile components, and the identification of brake discs, which improves the efficiency of inspection and design work. The improved GrabCut uses adaptive median filtering on the electric car accessory to reduce noise from the surface in variable degrees. The image is then sharpened using the Laplacian operator, followed by a contrast-limited histogram equalization (CLAHE) algorithm to boost the image brightness. We have compared our proposed work against existing techniques, i.e., the GrabCut algorithm, region growing algorithm, and K-means algorithm. The comparison clearly shows that our proposed work achieves a much better peak signal-to-noise ratio value as compared to the existing techniques.
Optimal Scheduling Model of WDM/OTN Network Transmission Line Based on Machine Learning
Authors: Zhao Jianhua , Li Jingquan , Fan Huicong , Li Wenxiao , Zhang Jingna , Dai Xiaoyuan
Published: August 2022

In order to solve the problem that the influencing factors are difficult to parameterize in the design and development of WDM/OTN backbone network routing planning tools, the author proposes an optimal scheduling model for WDM/OTN network transmission lines based on machine learning. Using the machine learning classification algorithm as a tool, the weight coefficients of each constraint factor are extracted from the historical design decisions, and the routing parameter model is constructed, so as to realize the intelligent routing selection, through actual simulation analysis and engineering verification. Simulation results show that after the historical routing regression test, the path coincidence rate of the route obtained by the algorithm and the historical real decision-making route reaches 81%, and the resource hit rate reaches 84%, which meets the requirements for actual production. Conclusion. This method can accurately and effectively generate network weight parameters so that the software routing is more intelligent.
Human Brain Organoid: A Versatile Tool for Modeling Neurodegeneration Diseases and for Drug Screening
Authors: Ma Cuili , Seong Hwanwook , Li Xiaowei , Yu Xiao , Xu Shunliang , Li Yujing
Published: August 2022

Clinical trials serve as the fundamental prerequisite for clinical therapy of human disease, which is primarily based on biomedical studies in animal models. Undoubtedly, animal models have made a significant contribution to gaining insight into the developmental and pathophysiological understanding of human diseases. However, none of the existing animal models could efficiently simulate the development of human organs and systems due to a lack of spatial information; the discrepancy in genetic, anatomic, and physiological basis between animals and humans limits detailed investigation. Therefore, the translational efficiency of the research outcomes in clinical applications was significantly weakened, especially for some complex, chronic, and intractable diseases. For example, the clinical trials for human fragile X syndrome (FXS) solely based on animal models have failed such as mGluR5 antagonists. To mimic the development of human organs more faithfully and efficiently translate in vitro biomedical studies to clinical trials, extensive attention to organoids derived from stem cells contributes to a deeper understanding of this research. The organoids are a miniaturized version of an organ generated in vitro, partially recapitulating key features of human organ development. As such, the organoids open a novel avenue for in vitro models of human disease, advantageous over the existing animal models. The invention of organoids has brought an innovative breakthrough in regeneration medicine. The organoid-derived human tissues or organs could potentially function as invaluable platforms for biomedical studies, pathological investigation of human diseases, and drug screening. Importantly, the study of regeneration medicine and the development of therapeutic strategies for human diseases could be conducted in a dish, facilitating in vitro analysis and experimentation. Thus far, the pilot breakthrough has been made in the generation of numerous types of organoids representing different human organs. Most of these human organoids have been employed for in vitro biomedical study and drug screening. However, the efficiency and quality of the organoids in recapitulating the development of human organs have been hindered by engineering and conceptual challenges. The efficiency and quality of the organoids are essential for downstream applications. In this article, we highlight the application in the modeling of human neurodegenerative diseases (NDDs) such as FXS, Alzheimer’s disease (AD), Parkinson’s disease (PD), and autistic spectrum disorders (ASD), and organoid-based drug screening. Additionally, challenges and weaknesses especially for limits of the brain organoid models in modeling late onset NDDs such as AD and PD., and future perspectives regarding human brain organoids are addressed.
Clinical Application of Graphene Composite in Internal Fixation of Ankle Fracture in Sports
Authors: Xu Xiaowei , Wang Rongna , Zhang Dachao , Feng Yingge
Published: August 2022

The ankle joint consists of the tibia, the fibrous lower end, and the talus. Osteoporotic fractures and deboning are common injuries in orthopaedic surgery, often due to abnormal disorders following an ankle fracture. Various fractures can occur depending on the shape, size, and position of the foot at the time of the injury. With the continuous development of science and the continuous improvement of modern sports level, scientists and sports workers worldwide recognize the importance of applying new materials in sports equipment. Composite material is a combination of multiphase combination material. In short, two or more components with different properties and different forms are used in a multimaterial combination of composite means. The organic combination of related scientific equipment and composite materials promotes the development of sports equipment and the probability of reducing sports injury. The function of the existing graphene composite is analyzed and applied, and the combination of graphene composite and sports is realized theoretically. The clinical application of graphene composite in sports is studied to promote sports development. This article mainly studies the clinical application of graphene composite in ankle fracture internal fixation in sports. It is found that with the increasingly mature application of graphene rubber composite, graphene fiber composite, and other graphene composite materials, it can be widely used in all aspects of sports equipment. Graphene composite materials can be used more easily in sports equipment. In this article, the thermal material conversion algorithm, Schrodinger equation in quantum mechanics, and the use method of graphene composite materials are used to study the clinical application of graphene composite in the internal fixation of ankle joint fracture in sports. The frequent injury and instability of ankle and knee joints are signs of ankle and knee joint injury. The main factors that affect the instability of ankle and knee function are the comprehensive effects of motion range, muscle force valgus, and body feeling, and graphene composite materials are widely used in the internal fixation of ankle joint fracture in sports. The results show that graphene composite can be used in sports equipment and has a great space and high feasibility through the analysis of four groups of sports equipment. It shows that advanced materials play a very important role in the research of sports equipment.
Influence of Case Management Model Combined with Continuous Nursing Care on Compliance Behavior and Adverse Emotions in Elderly Patients with Lung Cancer: A Prospective Single-Center Case-Control Study
Authors: Li Aomei , Gao Jie , Ni Juan , Che Yuxin , Zhang Qing , Hu Qian , Pan Jie , Ge YuXin , Cao Zhenzhu , Ni Juan
Published: August 2022

Aims. To ask lots of questions about finding the truth about the influence of the case management model combined with continuous nursing care on following the law behavior and negative feelings of love, hate, fear, etc. in old patients with lung scale-like cell cancer. Materials and Methods. One hundred and forty-three elderly patients with squamous cell carcinoma of the lung were selected for this prospective study, 10 cases were shed due to epidemic and transfer, and finally 68 cases were in the control group and 65 cases in the observation group. The differences in anxiety and depression scores, quality of life, and compliance behavior between the two groups were observed and compared. Results. After nursing, the self-rating anxiety scale (SAS) and self-rating depression scale (SDS) of the observation group were lower than those of the control group, while the social support score was significantly higher than that of the control group. The scores of psychological behavior, exercise status, drug taking, and balanced diet of the two groups were significantly improved, and the observation group was significantly improved. The scores of medical compliance behavior in the observation group were significantly higher than those in the control group, and the mental vitality score, social interaction score, emotional restriction score, and mental status of the patients in the observation group were significantly higher than those in the control group, and the above statistics showed that the difference was statistically significant (

P
<
0.05

). Conclusion. The use of a case management model combined with extended care significantly improved the compliance behavior and anxiety and depression of elderly patients with squamous cell carcinoma of the lung and improved the quality of life and social support.