bluuebunny/crossref_metadata_2025 huggingface dataset:
Establishing an International Engagement Model of Digital Identity Based on Blockchain
Authors: Li Jingxuan , Jing Yue
Published: August 2022

Blockchain technology has been changing the trust system through machine endorsement and mathematical algorithms, laying a technical foundation for network identity from centralized to decentralized management. The decentralized identity with core features, such as “no need for a management center and self-managed identities” have become a key direction for the evolution of a new generation of digital identity based on blockchain. Internationally, the United States, the EU, and other countries have promoted the technological exploration and application innovation of the decentralized identity, aiming to seize the international discourse power in the digital space. This paper establishes an evaluation model of international engagement in the decentralized identity field and takes the United States as a case to analyze the current development status and international engagement of the decentralized identity from multiple dimensions. Furthermore, it proposes some suggestions for other countries to improve the international engagement in the decentralized identity field.
[Retracted] Intelligent Classification Model of Music Emotional Environment Using Convolutional Neural Networks
Authors: Ke Feng
Published: August 2022

The majority of traditional text sentiment classification techniques rely on machine learning or sentiment dictionaries, but these approaches have the drawback of sparse data and ignore word semantics and word order information. A convolutional neural network‐ (CNN‐) based music emotion classification model is proposed in this paper to address the aforementioned issues. The model in this paper has clear advantages in every way. On the same dataset, the model in this study has an average accuracy of 91.4 percent, while LeNet, AlexNet, and VGGNet have accuracy averages of 75.3 percent, 72.2 percent, and 79.4 percent, respectively. The error value of the other three algorithms is higher than the cost function value because people’s emotions in the cognitive field are divided into different categories. However, in the field of music emotion retrieval, we can only extract the features of the known melody and then search for the same emotion, so we need to build a computerized music emotion classifier if we want to find emotions that are similar to a particular melody. This study examines musical emotion models that already exist, then extracts musical emotion features, and builds a musical emotion classifier using a neural network. The classifier is then further trained until the error classification rate of the training samples is within a certain error range, after which the classification results are marked by pertinent feedback.
[Retracted] Study on the Mental Health Service Behavior of Medical Staff Based on Electrocardiogram
Authors: Qin Weihong , Xia You , Li Xiangling , Cheng Min , Yue Lei
Published: August 2022

Acquired Immune Deficiency Syndrome (AIDS) is a fatal infectious disease caused by human immunodeficiency virus, which poses a serious threat to human health. The contagion of AIDS has greatly increased the psychological pressure of frontline medical staff. The mental health service behavior of medical staff based on electrocardiograms is analyzed. Firstly, an automatic ECG analysis technique is employed to evaluate the mental health service behavior of medical staff. Then, in order to promote the relationship between doctors and patients, Holter’s algorithm is applied to improve mental health services. Subsequently, the experiment based on ECG data is conducted to solve the problem of relieving the psychological pressure of medical staff. All samples are divided into high group (average score is 29.21), average group (average score is 31.43), and low group (average score is 34.85) according to the first 20%, middle 60%, and last 20%. The experimental results show that a considerable number of frontline medical personnel have psychological problems in AIDS surgery.
Longitudinal Study of Credit Union Research: From Credit‐Provision to Cooperative Principles, the Urban Economy and Gender Issues
Authors: Parrales Choez Carlos Gabriel , Valls Martínez María del Carmen , Martín-Cervantes Pedro Antonio
Published: August 2022

Credit unions are one of the most widely established corporate entities in the financial systems of most of the world’s nations. Their historical support to the financing needs of small savers, as well as their assimilation into the framework of contemporary microfinance, gives them an important specific weight in the economic‐financial literature of our time. In this sense, our research has carried out a systematic review of the main contributions (articles in scientific journals) focused on the area of credit unions over the period 1936–2020, using Scopus and WoS as bibliographic databases. In summary, the main countries, journals, authors, articles, and the main collaborative research networks at the level of authors or countries have been analyzed. In the same way, the implementation of strategic diagrams based on Callon’s procedure has facilitated the classification of the most important terms linked to financial cooperativism, which has served to detect future lines of research related to the terms (among others): asymmetric‐information, capital‐provision, cooperative‐principles, customer‐reduction, gender‐issues, neoinstitutionalism, poverty, and urban‐economy.
Exploring the Path of Innovative Development of Traditional Culture under Big Data
Authors: Li Zhixian
Published: August 2022

Chinese traditional culture is the treasure of our cultural field. In the new era, it is of great significance to give traditional culture a new life and vitality. The term “big data” is hotly debated all over the world, while the development of big data is gradually occupying all aspects of the society that people are compatible with society. It is an imperative initiative to build a cultural data system by making use of big data technology, and cultural big data can make Chinese traditional culture release more vitality. This paper analyzes the new characteristics of traditional culture development from big data in helping traditional culture inheritance and innovation and proposes new ideas and creates more possibilities for the development of traditional culture. Combining with big data technology, this paper proposes an improvement to the data sparsity problem and cold-start problem of collaborative filtering recommendation algorithm and also improves the recommendation algorithm based on association rules. The association rule technique is used to compensate for the cold-start and data sparsity problems of new users often encountered by collaborative filtering techniques; the aim is to obtain recommendation results with high user satisfaction. Experiments on traditional cultural resource datasets show that the method in this paper effectively solves the data sparsity and cold-start problems that exist in traditional collaborative filtering techniques, and the recommendation accuracy surpasses that of other methods.
Is Equity Crowdfunding the Leapfrog to Companies’ Success? Financial Performance in China
Authors: Jiang Chang , Pérez-Estébanez Raquel , Urquía-Grande Elena
Published: August 2022

As the fastest-growing crowdfunding model, equity crowdfunding (ECF) brings high returns and uncertainty. In this context, it is crucial to understand these crowdfunding projects’ actual performance. Since ECF is currently in the early stage of integration, there are still a lot of risk issues, such as the uncertainty of equity structure, capital supervision, or project management. Therefore, this paper develops a new profitability indicator, “return on registered capital,” to test its impact on the ECF project’s actual return. This paper studies which factors affect the financial performance of ECF projects through the traditional statistical model and a deep neural network (DNN) model. There is evidence that return on registered capital affects the actual return of the project. At the same time, the company’s operating time and the number of employees had an unexpected effect on project performance. In addition, the recognition accuracy of the DNN model in this study exceeds 97%, which affirms the applicability of the DNN model in the analysis of ECF success factors. This paper also uses tenfold cross-validation to prove that deep learning has certain advantages in this topic’s accuracy and generalization error. This study explores whether company representatives’ gender and knowledge level affect project performance. The results will be described in detail in the paper.
The Influencing Factors of Innovation and Entrepreneurship Intention of College Students Based on AHP
Authors: Wu Bing , Ye Sheng
Published: August 2022

Under the background of innovation and entrepreneurship (IE) driving economic development and transformation, it is of great significance to cultivate talents who dare to innovate and have the ability to IE. By stimulating IE potential of college students and improving their willingness to IE and on the basis of understanding the current situation of college students' IE, we explore the relevant factors affecting the willingness of college students to innovate and start a business. From two aspects of internal and external factors, this paper divides the modules that affect IE intention of college students into individual characteristics, self-awareness, school education, and environmental factors. Then, we use the analytic hierarchy process (AHP) to calculate the weight value of each influencing factor so as to determine and analyze the key influencing factors. Finally, according to the existing problems of college students’ IE, we put forward countermeasures and suggestions to improve IE willingness of college students from the perspectives of school education and government policy.
Mechanism of Electroacupuncture Analgesia on Nicotine Withdrawal-Induced Hyperalgesia in a Rat Model
Authors: Alfonso-Rodriguez Jeimy , Wang Shuju , Zeng Xiaoling , Candiotti Keith A. , Zhang Yanping
Published: August 2022

Purpose. This study aimed to investigate the analgesic effect and mechanism of electroacupuncture (EA) in nicotine withdrawal-induced hyperalgesia rats. Methods. Behavioral testing was conducted twice a week for 7 weeks during nicotine administration using von Frey filaments. Electroacupuncture at the bilateral “Zusanli” and “Taichong” points was applied daily for 3 days during nicotine withdrawal. Western blot analysis and immunohistology were used to determine expression levels of pain-related factors in the spinal cord and midbrain periaqueductal gray (PAG). Results. Behavioral tests showed that electroacupuncture had a significant analgesic effect on nicotine withdrawal-induced hyperalgesic rats. Western blot results demonstrated that, in hyperalgesic rats, the expressions of nicotinic acetylcholine receptors (subunits: nAChR α7, α4, or β2) decreased in the spinal cord, nAChR α7, and β2 decreased in PAG. The proinflammatory factor cyclooxygenase 2 (COX2) and the activated microglia (ionized calcium-binding adaptor molecule 1, Iba1 positive cells) increased in the spinal cord and PAG compared to controls. After electroacupuncture treatment, nAChR α7 and nAChR β2 expressions increased significantly, and COX2 and Iba1 expressions decreased in the spinal cord. Compared with the nonelectroacupuncture nicotine withdrawal group, electroacupuncture stimulation increased the expression of nAChR α7 and nAChR α4 in the PAG of rats with electroacupuncture. Immunohistochemical results confirmed that electroacupuncture reversed nicotine withdrawal-induced changes in nAChR α7 positive neurons and Iba1-positive microglia in the dorsal horn of the spinal cord. Conclusion. Electroacupuncture treatment has an analgesic effect on nicotine withdrawal-induced pain in nicotine-dependent rats. The mechanism of analgesia of the electroacupuncture treatment relates to the increased expression of nAChR α7 and nAChR β2 proteins in the spinal cord, nAChR α7 in the PAG, and decreased expression of Iba1 and COX2 protein in the spinal cord.
The Reliability of Computer-Assisted Three-Dimensional Surgical Simulation of Posterior Osteotomies in Thoracolumbar Kyphosis Secondary to Ankylosing Spondylitis Patients
Authors: Zhang Yiqi , Hai Yong , Liu Yuzeng , Zhang Xinuo , Zhang Yangpu , Han Chaofan , Liu Jingwei , Zhou Lijin
Published: August 2022

Objectives. The study was aimed at investigating the reliability of computer-assisted three-dimensional surgical simulation (CA3DSS) of posterior osteotomies in thoracolumbar kyphosis secondary to ankylosing spondylitis (TLKAS) patients. Methods. Eligible TLKAS patients who underwent posterior correction surgery with posterior osteotomies were consecutively included. Simulated posterior osteotomies were performed in Mimics and 3-Matic Medical software. Coronal and sagittal angle and alignment parameters were measured in preoperative full-length X-ray, preoperative original 3D spine (Pre-OS), simulated 3D spine (SS), and postoperative original 3D spine (Post-OS). Reliability was tested by both intraclass correlation coefficients (ICCs) and Bland-Altman analysis. Results. A total of 30 TLKAS patients were included. Excellent consistency of radiological parameters was shown between preoperative X-ray and Pre-OS model. In SS and Post-OS models, excellent reliabilities were shown in global kyphosis (ICC 0.832, 95% CI 0.677-0.916), thoracic kyphosis (ICC 0.773, 95% CI 0.577-0.885), and lumbar lordosis (ICC 0.896, 95% CI 0.794-0.949) and good reliabilities were exhibited in the main curve (ICC 0.680, 95% CI 0.428-0.834) and sagittal vertical axis (ICC 0.619, 95% CI 0.338-0.798). ICCs of correction angle achieved by pedicle subtraction osteotomy (PSO) was 0.754 (95% CI 0.487-0.892), and that of posterior column osteotomies (PCO) was 0.703 (95% CI 0.511-0.829). Bland-Altman analysis also showed good agreement for both Cobb angle and distance measurements in Pre-OS and SS models, and good reliabilities were shown in PCO and PSO in real spine and SS models. Conclusions. CA3DSS can provide an accurate measurement, and it is a reliable and effective method to conduct proper simulation for correction surgery with posterior osteotomies in TLKAS patients. This trial is registered with Chinese Clinical Trial Registry ChiCTR2100053808.
Electromagnetic Field Analysis and Optimization Method of High-Temperature Superconducting Transformer under the Influence of Abnormal Voltage
Authors: Zhi Weijie , Zhang YuWen , Yang Hao
Published: August 2022

High-temperature superconducting transformers are an important research topic of superconducting technology in power applications, and electromagnetic field analysis and optimization are the basis for the design and application of high-temperature superconducting transformers. The electromagnetic field analysis of high-temperature superconducting transformers should consider the superconducting properties of the materials, that is, the properties of critical current and magnetic field. This paper aims to study the electromagnetic field analysis and optimization method of high-temperature superconducting transformer under the influence of abnormal voltage. Due to the energy loss of high-temperature superconducting transformers, in order to study the economy and reliability of high-temperature superconducting transformers, in this paper, the core loss, winding AC loss, and coil power consumption of high-temperature superconducting transformers are analyzed under normal operation and short-circuit fault conditions, respectively. The power and stress on the windings are analyzed. In order to take into account the current-carrying capacity, short-circuit loss, and short-circuit electromotive force of superconducting windings in normal operation, a concentrically placed double-cake coil structure is selected in this paper, and according to different optimization objectives, a global optimization method is used to evaluate the structure of the coil. The structural parameters of the high-temperature superconducting transformer are optimized, including the structural parameters of the magnetic conducting ring. It is found that that abnormal voltage will affect the electromagnetic field of high-temperature superconducting transformers, including winding circulating current, leakage magnetic field, and current distribution.
Natural Deep Eutectic Extracts of Propolis, Sideritis scardica, and Plantago major Reveal Potential Antiageing Activity during Yeast Chronological Lifespan
Authors: Vasileva Bela , Staneva Dessislava , Grozdanova Tsvetinka , Petkov Hristo , Trusheva Boryana , Alipieva Kalina , Popova Milena , Miloshev George , Bankova Vassya , Georgieva Milena
Published: August 2022

Nowadays, the environmentally friendly approach to everyday life routines including body supplementation with pharma-, nutraceuticals and dietary supplements gains popularity. This trend is implemented in pharmaceutical as well as cosmetic and antiageing industries by adopting a newly developed green chemistry approach. Following this trend, a new type of solvents has been created, called Natural Deep Eutectic Solvents (NADES), which are produced by plant primary metabolites. These solvents are becoming a much better alternative to the already established organic solvents like ethanol and ionic liquids by being nontoxic, biodegradable, and easy to make. An interesting fact about NADES is that they enhance the biological activities of the extracted biological compounds. Here, we present our results that investigate the potential antiageing effect of CiAPD14 as a NADES solvent and three plant extracts with it. The tested NADES extracts are from propolis and two well-known medicinal plants—Sideritis scardica and Plantago major. Together with the solvent, their antiageing properties have been tested during the chronological lifespan of four Saccharomyces cerevisiae yeast strains—a wild type and three chromatin mutants. The chromatin mutants have been previously proven to exhibit characteristics of premature ageing. Our results demonstrate the potential antiageing activity of these NADES extracts, which was exhibited through their ability to confer the premature ageing phenotypes in the mutant cells by ameliorating their cellular growth and cell cycle, as well as by influencing the activity of some stress-responsive genes. Moreover, we have classified their antiageing activity concerning the strength of the observed bioactivities.
Effect of Fibers and Weave Designs on the Thermo-Physiological Comfort of Summer Scarf Fabric
Authors: Rasheed Abher , Malik Mumtaz Hasan , Ahmad Faheem , Azam Farooq , Ahmad Sheraz
Published: August 2022

The summer headscarves, which are usually made of polyester, are commonly used by women in the Middle East and South Asia regions. The polyester fibers provide good luster and drape but give poor comfort to the wearer. This work aims to produce summer headscarf fabrics using four different fibers with three different fabric structures to achieve comfortable summer scarf. The micropolyester, TENCEL™, COOLMAX®, and bamboo fibers were selected to construct the fabrics with 1/1 plain, 2/1 twill, and 2/2 matt weave. The ring spinning technique was employed to form yarns, which were later used to construct fabrics from these yarns. The fabrics were tested for drape, surface friction, air permeability, thermal resistance, overall moisture management capability, etc. The study revealed that matt weave is the best choice for summer scarf fabrics due to its structure. Further, it was also concluded that in fibers, micropolyester and TENCEL™ can provide the best results for aesthetic, tactile, and thermal comfort.
Research on Mathematical Method Image Classification of Convolutional Neural Network Based on Firework Algorithm Optimization
Authors: Cui Liping , Yang Xin , Liu Yan
Published: August 2022

The exhibition of famous convolutional brain organizations (CNNs) for distinguishing objects progressively video takes care of is inspected in this exploration. AlexNet, GoogLeNet, and ResNet50 are the most well-known convolutional neural networks for object discovery and item classification arrangement from pictures. To survey the exhibition of various kinds, a variety of photo informative indexes are provided by CNNs. Standard benchmark datasets for estimating a convolutional neural organization’s exhibition include ImageNet, CIFAR10, CIFAR100, and MNIST picture informational indexes. The performance of the three well-known channels, Alexandra cash flow, search engine net, and recurrent neural networks, is investigated in this research. Because analyzing a cable network efficiency on a single dataset does not demonstrate all of its possibilities and limits, we mentioned two of the most prominent large datasets for research: significantly improve performance, FARCICAL, and CIFAR110. Clips are exploited as testing statistics rather than teaching statistics; it should have been mentioned. GoogLeNet and ResNet50, in comparison to AlexNet, are better at recognizing objects with greater precision. Furthermore, the performance of trained CNNs varies significantly across different object categories, and we will analyze the possible causes for this. The characterization rate is the goal work assessed by PSO in the main methodology; in the subsequent methodology, the fireworks produce various boundaries per layer, and the goal work is made out of the recognition rate related to the Akaike data model, which assists with finding the best organization per layer. As per the discoveries, the proposed strategy delivered positive results with a recognition pace of more prominent than close to 100%, exhibiting serious outcomes when contrasted with other cutting edge draws near.
A Potential Four-Gene Signature and Nomogram for Predicting the Overall Survival of Papillary Thyroid Cancer
Authors: Ding Ying , Li Peng , Wang Wenlong , Liu Fang
Published: August 2022

Background. Although the prognosis of papillary thyroid cancer (PTC) is relatively good, some patients experience recurrence or distant metastasis after thyroidectomy and progress to radioactive iodine refractory stage. Therefore, accurate prediction of clinical outlook can aid to screen out the minority of patients with poorer prognosis and avoid excessive treatment in low-risk patients. Methods. The RNA-seq and clinical data of PTC patients was downloaded from the Gene Expression Omnibus (GEO) and the Cancer Genome Atlas (TCGA) databases. Multivariate and Lasso Cox regression analyses were used to construct a prognostic nomogram to predict overall survival (OS). Thereafter, quantitative RT-PCR and Human Protein Atlas (HPA) database were employed to verify the expression of key genes. Results. A four-gene risk score comprising ABI3BP, DPT, MRO, and TENM1 was exhibited strong prognostic value. Moreover, an integrated nomogram was established based on the risk score, age, AJCC (American Joint Commission on Cancer) stage, tumor size, extrathyroidal extension, and history of neoadjuvant treatment, which exhibited significantly better predictive performance than TNM stage system (

P
<
0.05

). GSEA (Gene Set Enrichment Analysis) and GSVA (Gene Set Variation Analysis) revealed that the different tumor-associated hallmarks, biological processes, and pathways were substantially enriched in the poor-prognosis group. In addition, a ceRNA network was constructed by including the four genes (ABI3BP, DPT, MRO, and TENM1), 54 lncRNAs, and 10 miRNAs. Finally, both the relative mRNA and protein expression of ABI3BP, DPT, MRO, and TENM1 were validated. Conclusion. The present study identified a four-gene risk signature and developed a novel nomogram, which could be regarded as a reliable prognostic model for PTC patients. The findings also revealed preliminary potential mechanisms that may influence the prognosis outcome. These results can be conducive to design personalized treatment and prognosis management in affected patients.
Spatial Layout Analysis of Urban and Rural Buildings under Multicriteria Constraints
Authors: Kang Yi
Published: August 2022

With the development of the times, the rational use of land has become the focus of social and economic development. In order to make more efficient use of land value, this study analyzes the spatial layout of urban and rural buildings under multicriteria constraints. From 2016 to 2021, the city showed a stable growth trend, and the growth rates of the three showed obvious correlation. In 2019, the average growth rate of machine learning algorithm is 46.6%, the average growth rate of decision tree algorithm is 48.2%, the average growth rate of cloud computing is 51.8%, and the average growth rate of this method is 52.5%. It can be seen that in these four ways, it is based on this reasonable land distribution system that has promoted the process of urban modernization. With the rapid economic growth, the scale of urban and rural construction land has expanded rapidly. Only when the experience and decision-making ideas of planning decision-makers are effectively applied to the process of land use spatial layout, a scientific land use spatial layout scheme can be obtained.
Prevalence and Antimicrobial Resistance of Escherichia coli in Chicken Meat and Edible Poultry Organs Collected from Retail Shops and Supermarkets of North Western Province in Sri Lanka
Authors: Ranasinghe R. A. S. S. , Satharasinghe D. A. , Anwarama P. S , Parakatawella P. M. S. D. K. , Jayasooriya L. J. P. A. P. , Ranasinghe R. M. S. B. K. , Rajapakse R. P. V. J. , Huat J. T. Y. , Rukayadi Y. , Nakaguchi Y. , Nishibuchi M. , Radu S. , Premarathne J. M. K. J. K.
Published: August 2022

Escherichia coli is a commensal bacterium that lives in human and animal intestines. Shiga toxin-producing strains of E. coli STECs are responsible for most food-related E. coli infections. Pathogenic E. coli transmits to human bodies due to the consumption of contaminated, raw, or undercooked food. This study was conducted to identify the prevalence of E. coli contamination in edible poultry meat and meat organs in the North Western Province of Sri Lanka. A total of 250 samples consisting of chicken meat (n = 144) and edible organs (n = 106) were collected from retail shops (n = 181) and supermarkets (n = 69), in both Kurunegala and Puttlam districts. The prevalence of E. coli from 250 chicken meat samples was 66.80% (167/250); E. coli prevalence at retail shops (66.85%) was higher than that at supermarkets (66.67%) and was not statistically significant. E. coli prevalence in chicken meat and edible organs was 65.73% and 69.16%, respectively. Molecular confirmation for the positive samples was done through polymerase chain reaction (PCR) using previously designed primers. An antibiotic susceptibility test was performed according to CLSI using nine antibiotics: ampicillin, amoxicillin, chloramphenicol, ceftazidime, ciprofloxacin, cephalexin, erythromycin, gentamicin, and tetracycline. Most isolates were resistant to erythromycin (80.84%) and amoxicillin (76.05%), while the least resistance was observed for gentamicin (4.79%). This study indicates the potential public health risk associated with chicken sold at retail and supermarket levels in the North Western Province of Sri Lanka.
FKN/NR Signaling Pathway Regulates Hippocampal Inflammatory Responses: the Survival of Hippocampal Neurons in Diabetic Rats with Chronic Unpredictable Mild Stress
Authors: Liu Zhuo , Zhao Hongqing , Liu Jian , Han Yuanshan , Wang Yuhong
Published: August 2022

Aim. To investigate the mechanism via which FKN/CX3CR1 signaling abnormalities mediate N-methyl-D-aspartic acid receptor (NMDA) overexcitation-induced hippocampal neuronal injury in diabetic rats complicated with depression (DD). Methods. Sixty rats were randomly divided into 5 groups. The depression-like behaviors of the rats were evaluated by open field test and Morris water maze. The pathological changes of hippocampus in DD rats were observed by HE staining. The blood levels of inflammatory factors (IL-1β, TNF-α, and IL-6) and neurotransmitters (D-serine and glutamic acid) were determined by enzyme-linked immunosorbent assay (ELISA). The expressions of BDNF, A1 receptor (A1R), A2 receptor (A2R), A3 receptor (A3R), calmodulin dependent kinase II (CaMKII), CX3CR1, CX3CL1 (FKN), NR2A, and NR2B proteins were detected by immunohistochemistry and Western-blotting. Results. Compared with the normal control group, blood glucose level increased significantly and body weight decreased in T2DM group and T2DMC group. In addition, the number of spontaneous activities significantly decreased and the capability of learning and memory was attenuated in T2DMC group and Chronic Stress group. The blood levels of IL-1β, TNF-α, IL-6, glutamate (Glu), and D-serine significantly increased in each model group. After intervention with CX3CR1 antibody, the expressions of BDNF, CaMK II, A1R, and A3R increased and those of A2R, CX3CR1, FKN, NR2A, and NR2B decreased. Conclusion. In the diabetic state, the binding of FKN to CX3CR1 increases, which regulates a variety of adenosine receptors. When it exerts its effect on neurons, the overactivation of NR results in neuronal injury and causes depression.
TCM Constitution Analysis Method Based on Parallel FP-Growth Algorithm in Hadoop Framework
Authors: Li Mingzheng , Lv Xiaojuan , Liu Ye , Wang Lin , Song Jianqiang
Published: August 2022

This work is devoted to establishing a comparatively accurate classification model between symptoms, constitutions, and regimens for traditional Chinese medicine (TCM) constitution analysis to provide preliminary screening and decision support for clinical diagnosis. However, for the analysis of massive distributed medical data in a cloud platform, the traditional data mining methods have the problems of low mining efficiency and large memory consumption, and long tuning time, an association rules method for TCM constitution analysis (ARA-TCM) is proposed that based on FP-growth algorithm and the open-source distributed file system in Hadoop framework (HDFS) to make full use of its powerful parallel processing capability. Firstly, the proposed method was used to explore the association rules between the 9 kinds of TCM constitutions and symptoms, as well as the regimen treatment plans, so as to discover the rules of typical clinical symptoms and treatment rules of different constitutions and to conduct an evidence-based medical evaluation of TCM effects in constitution-related chronic disease health management. Secondly, experiments were applied on a self-built TCM clinical records database with a total of 30,071 entries and it is found that the top three constitutions are mid constitution (42.3%), hot and humid constitution (31.3%), and inherited special constitution (26.2%), respectively. What is more, there are obvious promotions in the precision and recall rate compared with the Apriori algorithm, which indicates that the proposed method is suitable for the classification of TCM constitutions. This work is mainly focused on uncovering the rules of “disease symptoms constitution regimen” in TCM medical records, but tongue image and pulse signal are also very important to TCM constitution analysis. Therefore, this additional information should be considered into further studies to be more in line with the actual clinical needs.
Response Surface Methodology Approach to Predict the Flexural Moment of Ferrocement Composites with Weld Mesh and Steel Slag as Partial Replacement for Fine Aggregate
Authors: Sridhar Jayaprakash , Shinde Ganesh Bhausaheb , Vivek D , Naseem Khalida , Gaur Piyush , Patil Pravin P , Tesema Misganaw Tesfaye
Published: August 2022

Design of Experiment-Response surface methodology approach is adopted to obtain the optimal flexural moment of ferrocement composites comprising galvanised square weld mesh with weight fraction of fine aggregate by steel slag. To get the optimal combination of progression variables on a flexural moment of ferrocement composites, the central composite design of response surface methodology was adopted. Regression models for responses were justified using analysis of variance and the Pareto chart. The test results show that a maximum ultimate load of 3.30 kN and moment capacity of 220 kNm was obtained for ferrocement with a volume fraction of 2.733% and steel slag of 25% replacement. From the analysis of variance, it is evident that the

p

value is less than 0.005, the predicted R2 and the adjustable R2 are less than 20%, and the predicted values go in hand with the experimental result which indicates that the proposed models are highly suitable. Moreover, the volume fraction of galvanised square weld mesh has a higher significance on a flexural moment of ferrocement composites. Surface plot, Pareto chart, and regression analysis outcomes show that the most substantial and influential factor for a flexural moment is the volume fraction of galvanised square weld mesh.
[Retracted] Dance‐Specific Action Recognition Method Based on Double‐Stream CNN in Complex Environment
Authors: Jin Yan
Published: August 2022

Technology for dance‐specific motion recognition is widely used in many industries, but Chinese research in this area is still in its early stages. Recognizing specific dance movements is the key to learning about and comprehending human actions and behaviors. The fault‐tolerant feature of standardized sign language recognition is extended under the condition of small sample sizes, but the recognition accuracy remains a challenge. This issue needs to be resolved by fusing the essential details of particular dance movements. A dual‐stream convolution neural network is suggested in this paper to investigate the recognition of particular dance movements. In this paper, a dual‐stream convolution neural network is used to study the recognition of particular dance movements. The time spent by this algorithm gradually increases as the number of people in the image does, but only slightly. The algorithms proposed by Bergonzoni (2017) and Liu et al. (2021) both experience linear increases in running time as the population grows. In contrast, the running time of the algorithm in this study essentially increases negligibly. It has become a problem deserving in‐depth study. Double‐stream convolution neural network improves the practical value and technical complexity of dance motion automatic generation technology in art and cultural heritage protection, dance teaching, dance video retrieval, and dance arrangement.
Sensory Integration Training and Social Sports Games Integrated Intervention for the Occupational Therapy of Children with Autism
Authors: Wang Zhen , Gui Yulong , Nie Wenwei
Published: August 2022

This paper presents a research design for an integrated intervention using sensory integration training fused with social sports games for the treatment of children with autism. This study used a multiple baseline cross-subject design in a single-subject experiment, with structured play as the independent variable and expressive language skills of children with autism spectrum disorders as the dependent variable, with three phases of intervention: baseline, intervention period, and maintenance period. The expressive language ability was examined in terms of both oral expression and gestural expression, where the intervention effect of the oral expression was analyzed in terms of four components: the total number of words, the total number of sentences, average sentence length, and vocabulary complexity of oral expression, and the intervention effect of the gestural expression was analyzed in terms of changes in the frequency of children’s gestural expression behaviors. For the categories classified by sensory integration ability, there are corresponding specific training programs that combine various physical exercises and play equipment to train the various abnormal functions of children with autism. Stereotyped behavior is a repetitive, self-imposed, and purposeless physical action, usually in the form of continuous and repetitive movements, sounds, and so on. 4 times a week, 25 minutes each time, the activity of recognizing pictures and familiar objects is carried out first, and then the children choose the structured game model and the initiative to build and take turns with the researchers to build. Stereotypic behaviors cause a great deal of distress in the lives of children with autism, and it is necessary to explore how to implement positive and effective interventions. Subjects’ play abilities developed after receiving effective critical response training. The subjects’ practice and symbolic play showed good immediate and maintenance intervention effectiveness; their associative and functional play showed no significant intervention effectiveness. The enhancement of the sensory integration skills of children with autism through sensory integration training resulted in a relative reduction of stereotypic behavior about the stimulus-seeking function, which had a positive effect on the intervention of stereotypic behavior.
Clonal Hematopoiesis of Indeterminate Potential in Patients with Solid Tumor Malignancies
Authors: Marshall Catherine H. , Gondek Lukasz P. , Luo Jun , Antonarakis Emmanuel S.
Published: August 2022

Clonal hematopoiesis of indeterminate potential (CHIP) refers to the expansion of cells of hematopoietic lineage that carry acquired somatic alterations associated with hematologic malignancies. The most commonly altered genes giving rise to CHIP are DNMT3A, TET2, and ASXL1. However, advanced sequencing technologies have resulted in highly sensitive detection of clonal hematopoiesis beyond these known driver genes. In practice, CHIP is commonly identified as an incidental finding in liquid and tissue biopsies of patients with solid tumors. CHIP can have broad clinical consequences, given its association with hematologic malignancies and nonmalignant diseases. CHIP can also interfere with next-generation DNA sequencing results, so clinicians should pay careful attention when these results are being used to guide therapy. Future research is needed to determine how solid tumor malignancies and their treatments alter the progression of CHIP, and in turn, how CHIP might be used to improve treatment selection and outcomes for patients with solid tumors.
Reciprocal Interactions Between the Gut Microbiome and Mammary Tissue Mast Cells Promote Metastatic Dissemination of HR+ Breast Tumors
Authors: Feng Tzu-Yu , Azar Francesca N. , Dreger Sally A. , Rosean Claire Buchta , McGinty Mitchell T. , Putelo Audrey M. , Kolli Sree H. , Carey Maureen A. , Greenfield Stephanie , Fowler Wesley J. , Robinson Stephen D. , Rutkowski Melanie R.
Published: August 2022

Establishing commensal dysbiosis, defined as an inflammatory gut microbiome with low biodiversity, before breast tumor initiation, enhances early dissemination of hormone receptor–positive (HR+) mammary tumor cells. Here, we sought to determine whether cellular changes occurring in normal mammary tissues, before tumor initiation and in response to dysbiosis, enhanced dissemination of HR+ tumors. Commensal dysbiosis increased both the frequency and profibrogenicity of mast cells in normal, non–tumor-bearing mammary tissues, a phenotypic change that persisted after tumor implantation. Pharmacological and adoptive transfer approaches demonstrated that profibrogenic mammary tissue mast cells from dysbiotic animals were sufficient to enhance dissemination of HR+ tumor cells. Using archival HR+ patient samples, we determined that enhanced collagen levels in tumor-adjacent mammary tissue positively correlated with mast cell abundance and HR+ breast cancer recurrence. Together, these data demonstrate that mast cells programmed by commensal dysbiosis activate mammary tissue fibroblasts and orchestrate early dissemination of HR+ breast tumors.
Expanding the Spectrum of Alkali Retinopathy: Maculopathy following Alkali Burn
Authors: Vanclooster Andreas , De Zaeytijd Julie , Roels Dimitri
Published: August 2022

Ocular alkali burns are known to cause profound damage to the anterior segment, especially the cornea and conjunctiva. However, rarely, additional adjacent chorioretinal complications may ensue. These chorioretinal complications appear primary by direct penetration of the alkali or secondary to an elevated intraocular pressure (IOP). In contrast to this, recent animal studies have suggested a causal link with upregulation of proinflammatory mediators. We present a patient with maculopathy following alkali ocular burn.
Optimizing Upper-Tract Imaging for Non-Visible Haematuria
Authors: Michael Kirolos G.F.T. , Ravindranath Navin , Michael Sarah , German Annette , Riley Thomas , Calleary John Gerard , Bourdoumis Andreas , Surange Raveendra
Published: August 2022

Introduction: Non-visible haematuria (NVH) is associated with a small risk of upper-tract urothelial carcinoma (UTUC), though there is little consensus on its investigation, particularly with regard to upper-tract imaging. This study aimed to determine whether the presentation of UTUC can guide investigation of NVH in patients under 60 years old. Methods: All patients investigated at our one-stop haematuria clinics under a cancer pathway were reviewed during a 5-year period, with all patients undergoing cystoscopy and upper-tract imaging. Retrospective analysis of all UTUC cases from our urological cancer multidisciplinary team meeting database over a 10-year period was also undertaken. Results: 2,129 patients with a median age of 67 years underwent urgent investigation for haematuria between March 2015 and February 2020. 449 cases presented with NVH, of whom 124 (27.6%) were under 60. Out of 21 cases of UTUC, only 2 presented with NVH; both were over the age of 60 years. Factors that independently predicted diagnosis with urinary-tract malignancy were age ≥60 (OR 3.70, p < 0.001), visible haematuria (OR 2.50, p = 0.006), and suspicious cystoscopic findings (OR 58.06, p < 0.001). Review of all 119 UTUC cases over 10 years found 6 cases (5.0%) presenting with NVH, with one (0.8%) also presenting under 60 years. Conclusion: Diagnosis with UTUC is rare in patients presenting with NVH under the age of 60 years. Routine use of CTU in this low-risk group is best avoided, with ultrasonography constituting a safer first-line upper-tract imaging modality. Guidelines that risk-stratify NVH patients may be effective in reducing unnecessary investigations.
Splenic Rupture Secondary to Metastatic Undifferentiated Pleomorphic Sarcoma of the Spleen: A Rare Presentation of an Exceptionally Rare Entity
Authors: Darwish Maher , AlAbdulkareem Ahmad , AlAbdulkareem Fawaz
Published: August 2022

Splenic malignancies are uncommonly encountered in routine practice, and they are often only detected incidentally, posing a clinical challenge. Primary malignant neoplasms of the spleen are rare, and sarcomas are by far the rarest. The undifferentiated pleomorphic sarcoma type is an exceptionally rare and aggressive type with only a handful of cases reported in literature thus far. Herein, we present the case of a 49-year-old, with a previous finding of a heterogeneous splenomegaly on imaging for an unrelated medical complaint, presenting with an acute abdomen secondary to a ruptured spleen. The diagnosis of high-grade primary undifferentiated pleomorphic sarcoma of the spleen was made, and with further investigations, suspicious hepatic lesions were identified and later confirmed to be metastases.
A Case of Peripheral Precocious Puberty May Be Caused by a Diet Containing Phytosterols in a 20-Month-Old Boy
Authors: Xue Peng , Wang Yirou , Chen Yao , Wu Xiaoyu , Tang Yijun , Ding Yu , Wang Xiumin , Liu Shijian
Published: August 2022

Introduction: Precocious puberty in boys generally remains an etiology. In addition to the causes of endogenous hormone changes, endocrine-disrupting chemicals of exogenous substances may interfere with children’s pubertal development. Case Presentation: A 20-month-old boy presented with peripheral precocious puberty may be due to a phytosterol-containing diet. The patient came to see a doctor because of acne, hairiness, increased penis size, and coarse voice. Genital examination revealed a Tanner stage of 2 for pubic hair and a stretched penile length of 5 cm, which disagreed with the prepubertal testicular volume (2 mL bilaterally). At the same time, he was found to have pigmentation on both nipples and areola. The concentrations of estradiol and testosterone increased significantly. Since the age of 6 months, the patient had taken food added with a large amount of chicken essence seasoning (a flavoring in Chinese cooking), with an average of 15 g of this seasoning a day. A kind of phytosterol (C29H48O) was detected in chicken essence seasoning by high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS). After avoidance of the chicken essence seasoning, the patient’s sex hormone levels decreased, all clinical symptoms returned to normal, and no further development of secondary sexual characteristics was detected. Conclusion: This phytosterol-containing diet may be responsible for the sexual development of this patient. However, the mechanism of how phytosterols affect the process of development in children needs to be further explored.
Physiological Robustness of Model Gram-Negative Bacteria in Response to Genome Rewiring
Authors: Dorman Charles J. , Dorman Matthew J.
Published: August 2022

DNA supercoiling and nucleoid-associated proteins (NAPs) are two of the factors that govern the architecture of the bacterial genome, influencing the expression of the genetic information that it contains. Alterations to DNA topology, and to the numbers and types of NAPs, have pleiotropic effects on gene expression, suggesting that modifications to the production patterns of DNA topoisomerases and/or NAPs are likely to result in marked impacts on bacterial physiology. Knockout mutations in the genes encoding these proteins (where the mutants remain viable) result in clear physiological effects. However, genetic modifications that involve rewiring, or repositioning, of topoisomerase or NAP genes produce much more subtle outcomes. These findings demonstrate that the high-level regulatory circuitry of bacteria is robust in the face of genomic rearrangements that, a priori, might be expected to produce significant changes in bacterial lifestyle. Examples from genomic rewiring experiments, performed chiefly with the Gram-negative model bacteria Escherichia coli K-12 and Salmonella enterica serovar Typhimurium, will be used to illustrate these features. The results show not only the ability of naturally occurring bacteria to tolerate regulatory rewiring but also indicate the limits within which experiments in synthetic biology may be designed.
Considerações sobre o estatuto da verdade nos estudos de tendências
Authors: Bogo Marc Barreto , Machado Bruna Rosa
Published: August 2022

No universo da moda, os estudos de tendências propostos pelos bureaux de style se sedimentaram como uma estratégia de antever certas práticas vestimentares, visando a minimizar o risco de investimento despendido no desenvolvimento de coleções. Entretanto, antecipar práticas futuras apresenta sempre um certo caráter de incerteza, de modo que é fundamental que uma previsão de tendência seja percebida como “verdadeira” por seus destinatários. Ao refletir sobre os estudos de tendências a partir de uma perspectiva semiótico-discursiva, objetiva-se compreender como se atribui o estatuto de verdade aos discursos do campo da pesquisa de tendências. Adota-se a abordagem teórico-metodológica da Semiótica Discursiva de A. J. Greimas, principalmente em sua proposição do contrato de veridicção, bem como seus desdobramentos na Sociossemiótica de Eric Landowski, nos estudos da enunciação e nos estudos semióticos sobre Moda e tendências. A partir dessa reflexão, entende-se que o estatuto da verdade na área da pesquisa de tendências está menos ligado à verificação de como a antecipação se concretiza (ou não) na vida vivida, e mais relacionado ao modo de ver a realidade dos analistas de tendências e à sua capacidade de fazer-crer os criadores e compradores de moda nessa visão específica.