bluuebunny/crossref_metadata_2025 huggingface dataset:
CONSTRAINED POTENTIAL: A CHARACTERIZATION OF MEXICAN MICROENTERPRISES
Authors: NEGRETE ANA
Published: July 2022

Firm-level data spanning from 1994 to 2012 is used to investigate the apparent stagnation of Mexican microenterprises. The existence and nature of constraints are studied by estimating the empirical probability of a business’s success. A performance index is defined based on firm levels of capital stock and monthly profits. The predicted values are used to classify all microenterprises into one of three categories: upper, middle, or lower segment. Overall, the study identifies evidence of constrained productivity and capital misallocation, as well as the plausibility of cost-effective interventions. Specifically, microenterprises from the middle segment face substantial external constraints and their total share increased from 16 to 22 percent over time. The monthly marginal returns average 30 percent across lower-segment firms and 1 percent across those in the upper segment. Finally, the differences in monthly profits among segments are explored using the Oaxaca-Blinder decomposition method.
EFFICIENCY DIVERGENCE BETWEEN FORMAL AND INFORMAL MICROENTERPRISES DURING THE TRADE LIBERALIZATION OF MEXICO
Authors: BAEZ-MORALES ANTONIO , NEGRETE ANA
Published: July 2022

Efficiency is a crucial determinant of economic development, especially among microenterprises, which tend to be the prevalent economic units. This article estimates the efficiency of both formal and informal microenterprises in Mexico in the context of NAFTA (North American Free Trade). The Oaxaca-Blinder decomposition method is used to explain the factors behind the observed differences. Additionally, a detailed analysis with a decomposition by quantiles is provided. Formal microenterprises are found to be more efficient than their informal counterparts, with a narrow difference in 1994 widening by 2012. At the same time, the efficiency level declined for both groups of microenterprises over time. Two main conclusions are derived. First, microenterprise size distribution and the characteristics of the private sector influence the success of trade liberalization policies. Second, the overall decrease in efficiency, regardless of whether microenterprises are formal or informal, supports recent studies suggesting that economic, institutional and social constraints limit firm performance.
Taiwan Addresses Climate Change
Authors: CHENG Fangting
Published: July 2022

This article assesses climate change policies in Taiwan in the past decade and the findings indicate that the influence of international norms, especially those of the United Nations, has been significant to the decision-making process. To elucidate the importance of international norms, this article examines the policies and legislations for addressing climate change through the lens of policy learning, which is a relatively overlooked aspect in past and extant research.
Navigating Troubled Waters
Authors: ABBONDANZA Gabriele
Published: July 2022

Australia is a significant yet contested actor in the Indo-Pacific region, whose new Labor government is presented with substantial opportunities but also significant challenges. These include deteriorating relations with China, strategic if polarising alignment with the United States and its regional allies, and undervalued ties with ASEAN, South Pacific and select European countries. If strengthened, such untapped relationship potential could boost Australia’s declining soft power capabilities and improve both its image and outreach in the Indo-Pacific, without requiring any strategic distancing from Washington.
Fundamental Collateral: A Concept to Understand Global Macroeconomics and Financial Market
Authors: Zhang Yuyan , Xia Guangtao
Published: July 2022

The systematic importance of US Treasuries for the global financial market stems from their attribute of fundamental collateral. This paper attempts to use the concept of fundamental collateral, as well as its basic features and functions, to explain how US Treasuries have strengthened the international status of the US dollar, and examines the prospects of a diversifying global fundamental collateral market.
From Demodulation to Decoding: Toward Complete LoRa PHY Understanding and Implementation
Authors: Xu Zhenqiang , Tong Shuai , Xie Pengjin , Wang Jiliang
Published: July 2022

LoRa, as a representative of Low Power Wide Area Network technology, has attracted significant attention from both academia and industry. However, the current understanding of LoRa is far from complete, and implementations have a large performance gap in SNR and packet reception rate. This article presents a comprehensive understanding of LoRa physical layer protocol (PHY) and reveals the fundamental reasons for the performance gap. We present the first full-stack LoRa PHY implementation with a provable performance guarantee. We enhance the demodulation to work under extremely low SNR (-20 dB) and analytically validate the performance, where many existing works require SNR > 0. We derive the order and parameters of decoding operations, including dewhitening, error correction, deinterleaving, and so on, by leveraging LoRa features and packet manipulation. We implement a complete real-time LoRa on the GNU Radio platform and conduct extensive experiments. Our method can achieve (1) a 100% decoding success rate while existing methods can support at most 66.7%, (2) -142 dBm sensitivity, which is the limiting sensitivity of the commodity LoRa, and (3) a 3,600-m communication range in the urban area, even better than commodity LoRa under the same setting.
Feeding mode influences dynamic gut microbiota signatures and affects susceptibility to anti-CD3 mAb-induced intestinal injury in neonatal mice
Authors: Subramanian Saravanan , Geng Hua , Du Chao , Chou Pauline M. , Bu Heng-Fu , Wang Xiao , Swaminathan Suchitra , Tan Stephanie C. , Ridlon Jason M. , De Plaen Isabelle G. , Tan Xiao-Di
Published: July 2022

This report shows that a feeding mode profoundly affects gut colonization in neonatal mice. Furthermore, our results demonstrate that formula feeding predisposes mouse pups to anti-CD3 mAb-induced necrotizing enterocolitis (NEC)-like intestinal injury upon inadequate microbial colonization. The study suggests the role of the combined presence of formula feeding-associated dysbiosis and mucosal inflammation in the pathogenesis of NEC and provides a new mouse model to study this disease.
Liver-on-a-chip devices: the pros and cons of complexity
Authors: Dalsbecker Philip , Beck Adiels Caroline , Goksör Mattias
Published: July 2022

Physiologically relevant and broadly applicable liver cell culture platforms are of great importance in both drug development and disease modeling. Organ-on-a-chip systems offer a promising alternative to conventional, static two-dimensional (2-D) cultures, providing much-needed cues such as perfusion, shear stress, and three-dimensional (3-D) cell-cell communication. However, such devices cover a broad range of complexity both in manufacture and in implementation. In this review, we summarize the key features of the human liver that should be reflected in a physiologically relevant liver-on-a-chip model. We also discuss different material properties of importance in producing liver-on-a-chip devices and summarize recent and current progress in the field, highlighting different types of devices at different levels of complexity.
The administration of amnion-derived multipotent cell secretome ST266 protects against necrotizing enterocolitis in mice and piglets
Authors: Sodhi Chhinder P. , Ahmad Raheel , Jia Hongpeng , Fulton William B. , Lopez Carla , Gonzalez Salazar Andres J. , Ishiyama Asuka , Sampah Maame , Steinway Steve , Wang Sanxia , Prindle Thomas , Wang Menghan , Steed David L. , Wessel Howard , Kirshner Ziv , Brown Larry R. , Lu Peng , Hackam David J.
Published: July 2022

This work provides hope for children who develop NEC, a devastating disease of premature infants that is often fatal, by revealing that the secreted product of amniotic progenitor cells (called ST266) can prevent or treat NEC in mice, piglet, and “NEC-in-a-dish” models of this disease. Mechanistically, ST266 prevented bacterial signaling, and a detailed transcriptomic analysis revealed effects on gut differentiation, immunity, and metabolism. Thus, an amniotic secretome may offer novel approaches for NEC.
Effects of hypoxia on respiratory diseases: perspective view of epithelial ion transport
Authors: Zhou Wei , Yu Tong , Hua Yu , Hou Yapeng , Ding Yan , Nie Hongguang
Published: July 2022

The balance of gas exchange and lung ventilation is essential for the maintenance of body homeostasis. There are many ion channels and transporters in respiratory epithelial cells, including epithelial sodium channel, Na,K-ATPase, cystic fibrosis transmembrane conductance regulator, and some transporters. These ion channels/transporters maintain the capacity of liquid layer on the surface of respiratory epithelial cells and provide an immune barrier for the respiratory system to clear off foreign pathogens. However, in some harmful external environments and/or pathological conditions, the respiratory epithelium is prone to hypoxia, which would destroy the ion transport function of the epithelium and unbalance the homeostasis of internal environment, triggering a series of pathological reactions. Many respiratory diseases associated with hypoxia manifest an increased expression of hypoxia-inducible factor-1, which mediates the integrity of the epithelial barrier and affects epithelial ion transport function. It is important to study the relationship between hypoxia and ion transport function, whereas the mechanism of hypoxia-induced ion transport dysfunction in respiratory diseases is not clear. This review focuses on the relationship between hypoxia and respiratory diseases, as well as dysfunction of ion transport and tight junctions in respiratory epithelial cells under hypoxia.
Noncytotoxic Roles of Granzymes in Health and Disease
Authors: Richardson Katlyn C. , Jung Karen , Pardo Julian , Turner Christopher T. , Granville David J.
Published: July 2022

Granzymes are serine proteases previously believed to play exclusive and somewhat redundant roles in lymphocyte-mediated target cell death. However, recent studies have challenged this paradigm. Distinct substrate profiles and functions have since emerged for each granzyme while their dysregulated proteolytic activities have been linked to diverse pathologies.
Semantic Analysis Technology of English Translation Based on Deep Neural Network
Authors: Wang Qi
Published: July 2022

English translation plays an important role in the development of science and technology and cultural exchanges. With the increase in translation volume, intelligent translation has become inevitable, but there is no effective solution for semantic translation in English translation. To provide an effective translation improvement scheme in English translation, this paper studies and analyzes the application of deep neural network in English translation semantic analysis. Based on a brief analysis of the research progress of English translation analysis and the current situation of neural network, a neural network translation architecture is established, and a deep neural network model for English translation analysis is proposed. Aiming at the problem of gradient disappearance in RNN model, the ability of Gru neural network to deal with long-distance translation is enhanced, and the computational complexity of Gru neural network is reduced. At the same time, a bi-directional Gru model is designed to translate according to the context. For some nonlinear translation, a deep neural network model based on part of speech sequence information is proposed to realize semantic analysis, and experiments are designed to test the translation effect of the neural network model. The simulation results show that the English translation based on deep neural network can improve the translation effect, reduce errors and improve the accuracy of semantic analysis of English translation, which has certain reference significance for improving the level of English translation.
Association of the Interleukin-10-592C/A Polymorphism and Cervical Cancer Risk: A Meta-Analysis
Authors: Diakite Brehima , Kassogue Yaya , Maiga Mamoudou , Dolo Guimogo , Kassogue Oumar , Musa Jonah , Morhason-Bello Imran , Traore Ban , Traore Cheick Bougadari , Kamate Bakarou , Coulibaly Aissata , Bah Sekou , Nadifi Sellama , Murphy Robert , Holl Jane L. , Hou Lifang
Published: July 2022

A literature review showed some discrepancies regarding the association of -592C/A with the risk of cervical cancer. To allow more precise analysis of the data by increasing the number of cases studied and more acceptable generalization by considering results from different sources, the present meta-analysis was performed on available published studies that explored the relationship between SNP-592C/A of the IL-10 gene and the risk of cervical cancer. Eleven available studies, including 4187 cases and 3311 controls, were included in this study investigating the relationship between the -592C/A polymorphism of IL-10 and cervical cancer risk. Fixed-effects or random-effects models were performed with pooled odds ratios (ORs). Heterogeneity and bias tests were performed by the inconsistency test and funnel plot, respectively. The overall analysis showed an increased susceptibility to cervical cancer with the -592C/A polymorphism of the IL-10 gene for the recessive model (OR = 1.30, 95% CI = 1.14–1.49), dominant model (OR = 1.36, 95% CI = 1.09–1.70), and additive model (OR = 1.25, 95% CI = 1.09–1.44). Regarding ethnicity, a significant association of the -592C/A polymorphism of the IL-10 gene was linked to an elevated risk of cervical cancer for all genetic models (recessive, dominant, and additive) in the Asian populations and for the recessive and additive models in Caucasians with

P
<
0.05

. The -592C/A polymorphism of the IL-10 gene may be considered a risk factor for cervical cancer.
Analysis of Painting Elements of Tea Culture and Art Works Based on Image Perception
Authors: Zhao Haiting
Published: July 2022

The art works take tea as the theme of painting elements, and depict the content of Chinese traditional culture by showing the connotation of tea culture painting elements. For example, Wen Zhiming, a painter and calligrapher in Ming Dynasty, is best at painting landscape figures. He often uses tea as the theme in his art works, adding the elegant, natural, and simple painting elements of tea into his works, and has created many famous art works that are spread around the world. In recent years, with the deepening of the research on image processing technology, image perception technology has attracted more and more researchers’ attention, which has made great achievements and progress in image perception algorithms. This paper studies the tea culture elements of art works based on image perception algorithm. The accuracy of similar image pairs is the ratio that similar image pairs are correctly recognized. When the number of experiments reaches 25, the image sensing algorithm in this paper has the highest accuracy rate, with the accuracy rate of 99.8%, when the number of experiments reaches 20, the ant colony algorithm with the accuracy rate of 96.5%, when the number of experiments reaches 20, and finally the artificial intelligence algorithm with the accuracy rate of 96.0%. The correct rate of similar image pairs is the correct recognition rate of tampered image pairs. When the number of experiments reaches 10 times, the correct rate of image perception algorithm in this paper still ranks first, with the correct rate of 99.8%, when the number of experiments reaches 25 times, the artificial intelligence algorithm with the correct rate of 98.2%, and finally when the number of experiments reaches 10 times, the ant colony algorithm with the correct rate of 96.2%. It can be seen that the numerical values in this column show the robustness of this algorithm. Through the cultivation of students’ image perception ability, it can promote students’ appreciation ability of tea culture painting elements, learn the knowledge of tea culture painting elements beauty in a deeper level, master the skills of beauty, and improve their artistic temperament and artistic accomplishment.
[Retracted] Research on the Implementation Path of Ideological and Political Education in Private Colleges and Universities under the Network Environment
Authors: Luo Da
Published: July 2022

Entering the network information age, all kinds of excellent and backward ideas and value orientations coexist on the network, and social trends of thought are diverse. Therefore, colleges and universities need to occupy the network position, expand the educational position from the platform to the network world, and better lead the Ideological and Political Education (IPE) of college students. Therefore, this paper takes the practice of IPE in China’s Private Colleges and Universities (PCU) under the network environment as the research object. Firstly, this paper expounds the definition of PCU and briefly introduces the basic theory of IPE of college students. Secondly, it investigates the current situation of students’ IPE under the network environment and analyzes the implementation path. Finally, through research and argumentation, the current situation and influencing factors of IPE in PCU are clarified, and countermeasures and suggestions are provided for online teaching in universities.
A Study on the Effectiveness of Integration of Music Aesthetic Education Based on “Internet Plus” into Ideological and Political Education in Universities
Authors: Shen Wenfang , Chen Jianlong , Xiao Congyong
Published: July 2022

The high-quality development of ideological and political education in colleges and universities in the new era should focus on innovation, adherence to the concept of systematic thinking, multiparty collaborative education, accurate positioning, and promoting educational equity. On the basis of theoretical research and practical analysis, this paper examines the “current impact of music aesthetic education on college students’ ideological and political education,” integrating the music aesthetic education in the “Internet + ” era into all aspects of college students’ ideological and political education. The teaching mode of ideological and political education has greatly improved the effectiveness of students’ autonomous learning. This paper starts with investigating the current situation of ideological and political education in colleges and universities in the “Internet +” era, analyzes the necessity of integrating music aesthetic education into the research of ideological and political education in colleges and universities, and puts forward an effective and feasible way. Based on the data, this study fully explores the important role of music aesthetic education in the optimization and integration of middle school students’ ideological and political education in the “Internet  + ” era, and the emergence of new models. It can effectively improve the spiritual motivation and social responsibility of college students and set up correct life goals. It provides important innovative ideas and reference value for the effectiveness and substantive research of ideological and political education in colleges and universities.
New Energy Vehicle Electromagnetic Compatibility Test and Closed-Loop Simulation Analysis
Authors: Ma Ling , Lu Yean
Published: July 2022

With the rapid development of new energy vehicles, electromagnetic compatibility of new energy vehicles has been widely concerned. Therefore, based on the conducted electromagnetic interference theory of electric vehicle electric drive system, a kind of electromagnetic interference transmission path is proposed, and its closed-loop simulation is carried out. The results show that the key point that has great influence on the radiation emission of the electric drive system is whether there is a torque, essentially whether the motor controller has power output, and it has little relation with the motor speed and bus voltage. In addition to the influence of whether or not the torque has on radiation emission, the torque size is further compared, set 50 Nm, 100 Nm, and 200 Nm, respectively, for comparison, and it is found that the increase of torque has no obvious influence on radiation emission. Therefore, during the test, the appropriate torque can be selected according to the actual situation, rather than the maximum torque that the component can work.
Effect and Safety of ALA-PDT Combined with 1550 nm Fractional Therapy Laser in Treating Rosacea
Authors: Wang Hefei , An Xiaoxia , Wang Zhengli
Published: July 2022

Objective. To explore the clinical effect and safety of 5-aminolevulinic acid photodynamic therapy (ALA-PDT) combined with 1550 nm fractional laser therapy in the treatment of rosacea. Methods. 114 patients with type I and type II rosacea treated in our hospital from March 2018 to April 2020 were recruited. They were randomly assigned (1 : 1 : 1) to receive ALA-PDT (photodynamic group), 1550 nm fractional laser (laser group), or ALA-PDT and 1550 nm fractional laser therapy (combination group). Outcome measures included skin lesion scores, efficacy, and adverse reactions. Results. After treatment, patients in the three groups showed lower skin lesion scores than before treatment, and the combination group showed significantly lower results than the other groups (

P
<
0.05

). There was no significant difference in the total efficacy among the three groups (

P
>
0.05

), but the combination group outperformed the other groups in the comparison of the efficacy levels (

P
<
0.05

). Edema with lupus erythematosus, pain, and burning sensation was found in some cases but disappeared within 2 to 4 days after symptomatic treatment without interference with subsequent treatment. No patients had pigmentation, hypopigmentation, scars, or other serious adverse reactions. Conclusion. In the treatment of rosacea, ALA-PDT combined with a 1550 nm fractional laser can reduce redness and facilitate skin remodeling, with high efficacy and safety, so it is worthy of clinical promotion and application.
Prediction Method of Short-Term Demand for e-Commerce Goods Based on Deep Neural Network
Authors: Guo Lina
Published: July 2022

In order to improve the short-term demand prediction effect of e-commerce commodities, this paper combines the deep neural network algorithm to predict the short-term demand of e-commerce commodities and proposes a nonparametric supply chain demand prediction model based on multilayer Bayesian network. Moreover, this paper uses the hidden layer factor to describe the internal relationship of customer demand in time series and uses the bottom layer factor to represent the actual customer demand. In addition, this paper directly takes side information into consideration to improve the accuracy of customer demand prediction. Through simulation experiments, it can be seen that the prediction method of short-term demand for e-commerce goods based on deep neural network is close to the actual demand, and it can play a certain role in the demand prediction of e-commerce goods.
MFA: A Smart Glove with Multimodal Intent Sensing Capability
Authors: Wang Hongyue , Feng Zhiquan , Tian Jinglan , Fan Xue
Published: July 2022

At present, virtual-reality fusion smart experiments mostly employ visual perception devices to collect user behavior data, but this method faces the obstacles of distance, angle, occlusion, light, and a variety of other factors of indoor interactive input devices. Moreover, the essence of the traditional multimodal fusion algorithm (TMFA) is to analyze the user’s experimental intent serially using single-mode information, which cannot fully utilize the intent information of each mode. Therefore, this paper designs a multimodal fusion algorithm (hereinafter referred to as MFA, Algorithm 4) which focuses on the parallel fusion of user’s experimental intent. The essence of the MFA is the fusion of multimodal intent probability. At the same time, this paper designs a smart glove based on the virtual-reality fusion experiments, which can integrate multichannel data such as voice, visual, and sensor. This smart glove can not only capture user’s experimental intent but also navigate, guide, or warn user’s operation behaviors, and it has stronger perception capabilities compared to any other data glove or smart experimental device. The experimental results demonstrate that the smart glove presented in this paper can be widely employed in the chemical experiment teaching based on virtual-reality fusion.
Thermal Conductivity Model Analysis of Unsaturated Ice-Containing Soil
Authors: Han Qiang , Wang Zhiguo , Qin Rui
Published: July 2022

In cold locales, the thermal conductivity of soil porous media varies according to their composition and the phase state of the substance contained within the pore space. During the winter, water and other media in the soil pore space freeze-thaw, resulting in their phase state, composition, distribution, and significant thermal conductivity changes. There are some shortcomings in the current research regarding the thermal conductivity change pattern of unsaturated ice-containing soils. In this paper, the representative elementary volume (REV) selection method is given for unsaturated ice-containing soil with porosity as a representative state variable. Under the condition of freeze-thaw, two thermal conductivity REV analysis models for unsaturated ice-containing soil are established: a simplified volume-weighted average REV model and a fine volume-weighted average REV model; accordingly, a macroscopic thermal conductivity analysis model is given. The computational analysis is carried out with an actual unsaturated ice-containing soil example. The influence of the application of frozen soil in China is examined for its effect on the variation law of the thermal conductivity of porous medium. The variation characteristics of thermal conductivity of permafrost soil with related parameters (porosity, water ratio, moisture percentage, ice content, and tortuosity) are discussed. The model built in this paper provides novel concepts and methods for analyzing the thermal conductivity characteristics of unsaturated soil, as well as enhancing and advancing the analysis.
Wearable Sensor-Based Motion Data Analysis and Dance Performance Using Images and Cloud Computing
Authors: Jing Wang , Xiaolong Zhang
Published: July 2022

China’s cultural performance career has been developed in recent times, resulting in a large number of students embarking on the professional path of cultural performance. To reduce the teaching pressure on school teachers, dance training gradually introduces the idea of “digital dance”, using sensors to monitor posture. The nonwearable monitoring method does not require contact with the subject and typically relies on images or signal waves for positioning, but it has stringent requirements for the measurement scene. On the other hand, the wearable monitoring method requires the sensor to be worn on the subject’s body all the time, so it needs to be light and energy-efficient. Therefore, this paper designs and implements a set of application platforms, which parametrically analyze the dance movements, consume low energy, are lightweight, and are simple to use. For this purpose, a wearable digital dance training system based on microelectro-mechanical system (MEMS) sensors has been developed, and a solution to the challenges of teaching movement precision, scientific teaching methodologies, and early warning analysis of joint is also proposed. Firstly, the basic knowledge of human posture measurement and human model is merged to build a new modifiable human model. Secondly, the overall design of the posture data acquisition device is presented, which includes a base station and several nodes. Finally, the overall framework of the software platform is designed, which consists of client and server. The experimental results show that the system can achieve the purpose of providing teaching programs for dance students.
An Improved Estimation for Heterogeneous Datasets with Lower Detection Limits regarding Environmental Health
Authors: Feroze Navid , Akgul Ali , Jawa Taghreed M. , Sayed-Ahmed Neveen , Ali Rashid
Published: July 2022

Analysis of environmental data with lower detection limits (LDL) using mixture models has recently gained importance. However, only a particular type of mixture models under classical estimation methods have been used in the literature. We have proposed the Bayesian analysis for the said data using mixture models. In addition, an optimal mixture distribution to model such data has been explored. The sensitivity of the proposed estimators with respect to LDL, model parameters, hyperparameters, mixing weights, loss functions, sample size, and Bayesian estimation methods has also been proposed. The optimal number of components for the mixture has also been explored. As a practical example, we analyzed two environmental datasets involving LDL. We also compared the proposed estimators with existing estimators, based on different goodness of fit criteria. The results under the proposed estimators were more convincing as compared to those using existing estimators.
Research on Software Vulnerability Detection Method Based on Improved CNN Model
Authors: Qiang Gao
Published: July 2022

A software construction detection algorithm based on improved CNN model is proposed. Firstly, extract the vulnerability characteristics of the software, extract the characteristics from the static code by using the program slicing technology, establish the vulnerability library, standardize the vulnerability language, and vectorize it as the input data. Gru model is used to optimize CNN neural network. The organic combination of the two can quickly process the feature data and retain the calling relationship between the codes. Compared with single CNN and RNN model, it has stronger vulnerability detection ability and higher detection accuracy. In contrast, the software algorithm of the improved CNN model has strong vulnerability detection ability and higher detection accuracy. In terms of training loss rate, the DNN + Gru model is 17.2% lower than the single RNN model, 10.5% lower than the single CNN model, and 7% lower than the VulDeePecker model.
Parotid Gland Stem Cell Preservation during Intensity-Modulated Radiotherapy for Nasopharyngeal Carcinoma: Dosimetric Analysis and Feasibility
Authors: Zheng Lirong , Mei Qiaoli , Gao Yuxiang , Du Fenglei , Xiao Lin , Wu Gangfeng
Published: July 2022

Objective. Parotid gland (PG) is a radiosensitive organ, and xerostomia (XS) is a key factor affecting patients’ life quality after conventional radiotherapy for head and neck tumors. In this study, dosimetry analysis was performed on PG stem cell preservation in intensity-modulated radiotherapy (IMRT) for nasopharyngeal carcinoma (NPC). Methods. All clinical data of 80 NPC patients diagnosed pathologically in the Radiotherapy Department of Taizhou Hospital of Zhejiang Province Affiliated with Wenzhou Medical University from August 2017 to September 2019 were retrospectively analyzed. Patients were assigned to a regular group and a restricted group according to different IMRT plans, in which a dose limitation for the parotid duct was added in the restricted group in addition to the conventional plan used in the regular group to minimize the parotid duct radiation dose. The differences in planning target volume (PTV) dose distribution, organ at risk (OAR) dose, and dose to the PG and its ducts were compared between the two groups. Results. Significantly higher mean irradiation doses of the brainstem, mandible, and oral cavity were determined in the restricted group compared with the regular group (

P
>
0.05

), but there was no significant difference in the mean dose of other OARs irradiated (

P
>
0.05

). As compared to the irradiation of bilateral PGs, no statistical differences were found in the mean irradiation dose and V30 between regular and restricted groups (

P
>
0.05

), but lower V20 and higher V45 were determined in the restricted group (

P
<
0.05

). The mean irradiation dose, V15, V20, and V26 of bilateral parotid ducts were lower in the restricted group as compared to the regular group (

P
<
0.05

). Conclusion. IMRT for NPC can effectively reduce the mean irradiation dose and play a PG stem cell preservation role by giving specific dose limitation conditions to the parotid duct area without affecting PTV dose distribution and OAR irradiation dose, which has certain feasibility.
Patient Characteristics, Procedural Details, and Outcomes of Contemporary Percutaneous Coronary Intervention in Real-World Practice: Insights from Nationwide Thai PCI Registry
Authors: Sansanayudh Nakarin , Chandavimol Mann , Srimahachota Suphot , Limpijankit Thosaphol , Hutayanon Pisit , Kiatchoosakun Songsak , Kuanprasert Sarun , Chamnarnphol Noppadol , Athisakul Siriporn , Kehasukcharoen Wirash , Kanoksilp Anek , Roongsangmanoon Worawut , Jianmongkol Poj , Ngamjanyaporn Pornchai , Wongphen Anuchit , Piyayotai Dilok , Tassanawiwat Worawut , Kanjanarutjawiwat Wiwat , Krittayaphong Rungroj , Kunjara Na Ayudhya Rapeephon , Sritara Piyamitr , Budhari Wacin , Thakkinstian Ammarin , Udayachalerm Wasan
Published: July 2022

Background. Percutaneous coronary intervention (PCI) practice and outcomes vary substantially in different parts of the world. The contemporary data of PCI in Asia are limited and only available from developed Asian countries. Objectives. To explore the pattern of practice and results of PCI procedures in Thailand as well as a temporal change of PCI practice over time compared with the registry from other countries. Methods. Thai PCI Registry is a prospective nationwide registry that was an initiative of the Cardiac Intervention Association of Thailand (CIAT). All cardiac catheterization laboratories in Thailand were invited to participate during 2018-2019, and consecutive PCI patients were enrolled and followed up for 1 year. Patient baseline characteristics, procedural details, equipment and medication use, outcomes, and complications were recorded. Results. Among the 39 hospitals participated, there were 22,741 patients included in this registry. Their mean age (standard deviation) was 64.2 (11.7) years and about 70% were males. The most common presentation was acute coronary syndrome (57%) with a high proportion of ST-elevation myocardial infarction (28%). Nearly two-thirds of patients had multivessel disease and significant left main stenosis was reported in 11%. The transradial approach was used in 44.2%. The procedural success rate was very high (95.2%) despite the high complexity of the lesions (56.9% type C lesion). The incidence of procedural complications was 5.3% and in-hospital mortality was 2.8%. Conclusion. Thai PCI Registry provides further insights into the current practice and outcomes of PCI in Southeast Asia. The success rate was very high, and the complications were very low despite the high complexity of the treated lesions.
Construction of Cloud Library Intelligent Service Platform Relying on Artificial Neural Network
Authors: Sun Lei , Li Yingxia , Lu Yuli
Published: July 2022

With the advanced development of data center and network information technology, digital library has become a user sharing platform with a variety of digital information sources, providing users with flexible and diverse personalized services. However, the existing digital library lacks data analysis information and only publishes book information and related borrowing frequency and other information. As an ideal architecture model for library applications, cloud library can integrate distributed digital information sources, optimize digital libraries, and provide users with flexible, diverse, and personalized services. Therefore, based on the related research on cloud library and neural network algorithm, this paper not only focuses on the artificial network algorithm, but also focuses on the concept, features, and method of building the digital library platform based on the artificial network algorithm. Under the support of related theories and technologies of cloud library service platform, it also builds a cloud library intelligent service platform model based on artificial neural network. The research results showed that the time spent by BPNN in processing borrowed books was generally about 6 minutes, while the time required by RNN was 10 minutes. However, the processing of BPNN is not stable. Therefore, when building an intelligent service platform, different algorithms need to be selected according to individual needs.
Prediction of Incidence Trend of Influenza-Like Illness in Wuhan Based on ARIMA Model
Authors: Meng Pai , Huang Juan , Kong Deguang
Published: July 2022

Objective. The autoregressive integrated moving average (ARIMA) model has been widely used to predict the trend of infectious diseases. This paper is aimed at analyzing the application of the ARIMA model in the prediction of the incidence trend of influenza-like illness (ILI) in Wuhan and providing a scientific basis for the prediction and prevention of influenza. Methods. The weekly ILI data of two influenza surveillance sentinel hospitals in Wuhan City published on the website of the National Influenza Center of China were collected, and the ARIMA model was used to model the data from 2014 to 2020, to predict and verify the ILI data in 2021. Results. The optimal model for the incidence trend of ILI in Wuhan was ARIMA

1
,
1
,
1

, the residuals were in line with the white noise sequence (

0.018
<
Ljung
‐
Box
 
Q
<
30.695

,

P
>
0.05

), and the relative error between the predicted value and the actual value was small, which all proved the model was practical. Conclusion. ARIMA

1
,
1
,
1

can effectively simulate the short-term incidence trend of ILI in Wuhan.
The Metabolomic Characterization of Different Types of Coronary Atherosclerotic Heart Disease in Male
Authors: Fan Yuxuan , Quan Xianglan , Liu Shengquan , Yue Le , Jiang Jizong , Fan Zhiqing
Published: July 2022

Background. In clinical practice, many patients with coronary atherosclerotic heart disease (CAD) have atypical clinical symptoms. It is difficult to accurately identify stable CAD or unstable CAD early through clinical symptoms and coronary angiography. This study aimed to screen the potential metabolite biomarkers in male patients with stable CAD and unstable CAD. Methods. In this work, the metabolomic characterization of the male patients with healthy control (n = 42), stable coronary artery disease (n = 60), non-ST-elevation acute coronary syndrome (n = 45), including prepercutaneous corona intervention (n = 14), and postpercutaneous coronary intervention (n = 31) were performed by using ultra-performance liquid chromatography-mass spectrometry (UPLC-MS). The serum samples of patients were analyzed by multivariate statistics. Results. Results showed that 17 altered metabolites were identified to have a clear distinction between the stable CAD group and the healthy subjects. Compared with the stable coronary artery disease group, 15 specific metabolite markers were found in the acute coronary syndrome group. The percutaneous coronary intervention also affected the metabolic behavior of patients with CAD. Conclusions. In summary, CAD is closely related to energy metabolism, lipid metabolism, and amino acid metabolism disorders. The different metabolic pattern characteristics of healthy, stable coronary artery disease and acute coronary syndrome are constructed, which brings a novel theoretical basis for the early diagnosis of patients with stable and unstable CAD.
Protein Quality Evaluation of Some Commonly Consumed Bird Egg Varieties Using Amino Acid Scores
Authors: Onyenweaku Eridiong O. , Akah Levi U. , Kesa Hema , Alawa David A. , Ebai Patricia A. , Kalu Ukoha U. , Ajigo Ikutal , Owan Valentine J.
Published: July 2022

Objective. Food proteins provide amino acids (AAs) and serve as building blocks of all vital organs, muscles, hormones, and biological fluids such as blood. Eggs are known as a good source of protein. This study compared the protein quality of bird eggs (raw and boiled), using their AA scores since some individuals consume raw eggs for various reasons. Research Methods. Eggs studied were exotic chicken, local chicken, turkey, quail, and guinea fowl eggs. The eggs were shelled and their contents (boiled and raw) lyophilized. The standard AOAC method (Kjeldahl) was used to determine protein content, while the amino acid composition was measured using an AA analyzer. The total AA scores were calculated based on the whole hen’s egg AA profiles. Statistical significance was accepted at

p
<
0.05

. Results. The Guinea fowl egg had the highest total amino acid score (TAAS) of 0.92. The other scores ranged as follows: 0.82 (quail) >0.81 (turkey) >0.75 (exotic chicken), and the lowest score was 0.65 (local chicken). The least scores were phenylalanine: 0.34 (exotic chicken), phenylalanine and serine: 0.36 (local chicken), leucine and aspartic acid: 0.41 (turkey), methionine: 0.31 (quail), and glutamic acid: 0.33 (guinea fowl). Also, guinea fowl egg had the highest total essential amino acid (TEAA) (49.6 g/100 g protein), i.e., % TEAA (55.1%), while exotic chicken egg had the lowest (41.1%), but the highest % NEAA (58.9%). Conclusion. Guinea fowl eggs had the highest EAA and TAA content. Its consumption should particularly be encouraged for children as this can significantly reduce the risk of protein-energy malnutrition and prevent protein deficiencies.
A Study on the Communication Ecosystem of TCM Health Big Data Based on Cloud Computing
Authors: Cheng Haitao , Li JunWei , Ye ChunXia , Yan Feng , Wan ChunMiao , Li Bin
Published: July 2022

The rapid advancement of information technology, particularly big data and artificial intelligence technologies, has presented unprecedented opportunities and challenges to people from many walks of life, including Chinese medicine. How to combine traditional Chinese medicine (TCM) with artificial intelligence technology in the context of big data, as well as how to advance the theory of traditional Chinese medicine toward the world, is the question that needs to be answered. This study proposed the processing flow and overall framework of TCM health using big data and presented a feasible solution for the management and application of TCM big data. Next, the TCM Health Big Data ecosystem with cloud computing as the core technology is proposed to provide personal scientific and effective health management, protect the body from diseases, improve the physical and mental health, and improve the ability to adapt to the natural and social environment. The study summarizes the TCM cultural communication and health management using big data and achieves the goal of preventive treatment of disease.
Severity of Child Autistic Symptoms and Parenting Stress in Mothers of Children with Autism Spectrum Disorder in Japan and USA: Cross-Cultural Differences
Authors: Porter Noriko , Loveland Katherine A. , Saroukhani Sepideh , Posey Yana , Morimoto Kana , Rahbar Mohammad H.
Published: July 2022

The purpose of this study was to compare the relationship between parenting stress and autistic symptom severity in the U.S. and Japan. Fifty-two U.S. and 51 Japanese mothers of children aged 2–12 with autism completed measures of parenting stress and child characteristics, including the parenting stress index (PSI), the social communication questionnaire (SCQ), and social responsiveness scale-2 (SRS-2). There was a nonlinear relationship between the child's autistic symptom severity and parenting stress in both countries. We also found some cultural differences: in the parent domain, the relationships between children’s SCQ scores and PSI scores differed significantly between the U.S. and Japan. Our findings suggest that autistic severity symptom scores may reflect cross-cultural differences in parenting beliefs, views toward autism, and response styles for evaluating children’s behavior. The findings also suggest that parents need support regardless of the child’s autism severity, including those with mild to moderate symptoms. Expanding on this line of research and understanding cultural influences on parenting stress may help service providers and agencies offer more culturally sensitive services, parent-education courses, and intervention programs.
System Construction of Mind Map in English Vocabulary Teaching Based on Machine Learning Algorithm
Authors: Zhao Xiaojing
Published: July 2022

Mind map is an effective graphical thinking tool for expressing divergent thinking. It is a simple, yet effective and efficient, practical thinking tool. This paper aims to use machine learning algorithms to build a mind map system and apply it to English vocabulary teaching. This paper first introduces the classification of machine learning algorithms and then briefly expounds the overview of the mind map construction system. Finally, this paper integrates the mind map constructed by machine learning algorithms into English vocabulary teaching practice and compares it with the traditional teaching mode. The experimental results show that the accuracy rate of students’ vocabulary review and test under the vision of the English vocabulary teaching mode of the mind map constructed by the machine learning algorithm has reached 85%, which verifies the effectiveness of the method. Popularizing it in the current English vocabulary teaching can improve students’ interest and effect in learning vocabulary and has certain operability.