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Article ; Online: Influence of Diversified Health Elements Based on Machine Learning Technology on Pop Vocal Singing in a Cultural Fusion Environment.

Xia, Han

Journal of environmental and public health

2022 Volume 2022, Page(s) 7903838

Abstract: The multicultural environment is affected by the ongoing advancement of science and technology, which results in more and more planned cultural fusions and collisions between various cultures. The emergence of distinct national cultures has emphasised ... ...

Abstract	The multicultural environment is affected by the ongoing advancement of science and technology, which results in more and more planned cultural fusions and collisions between various cultures. The emergence of distinct national cultures has emphasised cultural diversity. Music naturally takes the initiative and promotes diversity in social and cultural awareness as a cultural art form with distinctive charm. Cultural variables play a significant role in the development, appeal, and wide transmission of voice output. It is an authentic catharsis and a vivid record of spiritual activity among people. Because the diversity of art is also the source of the legacy and growth of creative innovation, the diversified integration of art will also promote the shared development of all nations. Vocal music and singing art must adapt to the circumstances, follow the trend of the times, and grow slowly and healthily in the direction of diversity in the context of multicultural development. Musical emotion is the key component of music. The periodic properties of sound should be studied since they have important implications for music study. In order to learn and predict the 8-dimensional emotion vector of musical compositions, this study creates a dataset of 200 pieces of music, isolates music emotion detection as a regression issue, and applies machine learning techniques. According to experimental findings, when mid- and high-level characteristics are used as input instead of low-level features, accuracy can increase from 50.28% to 68.39%.
MeSH term(s)	Humans ; Machine Learning ; Music/psychology ; Singing ; Technology
Language	English
Publishing date	2022-09-26
Publishing country	United States
Document type	Journal Article ; Retracted Publication
ZDB-ID	2526611-1
ISSN	1687-9813 ; 1687-9813
ISSN (online)	1687-9813
ISSN	1687-9813
DOI	10.1155/2022/7903838
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: High-containment facilities and the role they play in global health security

Xia, Han / Yuan, Zhiming

Journal of biosafety and biosecurity. 2022 June, v. 4, no. 1

2022

Abstract: Biological threats, whether naturally occurring or accidentally or deliberately released, have the potential to endanger lives and disrupt economies worldwide. Thus, high-containment protective measures should be implemented when handling bio-agents that ...

Abstract	Biological threats, whether naturally occurring or accidentally or deliberately released, have the potential to endanger lives and disrupt economies worldwide. Thus, high-containment protective measures should be implemented when handling bio-agents that can cause serious, highly contagious diseases, otherwise devastating pandemics can occur. In the fields of scientific investigation, healthcare, and product development, high-containment facilities play a critical role in preventing, detecting, and responding promptly and effectively to threats to global health security. In this paper, we present a summary of the main types of high-containment facilities, as well as their applications, challenges, and suggestions for the future.
Keywords	biosafety ; biosecurity ; health services ; product development
Language	English
Dates of publication	2022-06
Size	p. 1-4.
Publishing place	Elsevier B.V.
Document type	Article
ISSN	2588-9338
DOI	10.1016/j.jobb.2021.11.005
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Metagenomics next-generation sequencing assists in the diagnosis of infant pertussis encephalopathy: A case report.

Zhang, Haiyang / Wang, Xiao / Xia, Han / Liu, Zhongqiang

Medicine

2023 Volume 102, Issue 8, Page(s) e33080

Abstract: Rationale: Pertussis is an acute respiratory infection that often occurs in the pediatric population, especially in infants under 3 months old. Bordetella pertussis is the causative agent of pertussis, which can lead to pneumonia, encephalopathy, and ... ...

Abstract	Rationale: Pertussis is an acute respiratory infection that often occurs in the pediatric population, especially in infants under 3 months old. Bordetella pertussis is the causative agent of pertussis, which can lead to pneumonia, encephalopathy, and pulmonary hypertension, causing death in severe cases. Therefore, an accurate and comprehensive diagnosis of the pathogen is essential for effective treatment. Patient concerns: We report a case of 2-month-old male infant admitted to the pediatric intensive care unit of West China Second University due to hoarse cough for 7 days, accompanied by a crowing-like echo, fever and listlessness, occasional nonprojectile vomiting with anorexia, shortness of breath, accelerated heart rate, cyanosis of the lips, and convulsions. B pertussis was identified by metagenomic next-generation sequencing in blood and cerebrospinal fluid and polymerase chain reaction assay using blood. Diagnoses: The infant was diagnosed with pertussis. Interventions: Intravenous infusion of erythromycin (50 mg/kg/d) for anti-infection and dexamethasone for alleviating intracranial inflammatory reaction were given. Outcomes: The patient was eventually recovered and discharged. Lessons: This case report emphasized the importance of metagenomic next-generation sequencing using cerebrospinal fluid and blood for early diagnosis of pertussis-associated encephalopathy.
MeSH term(s)	Infant ; Humans ; Child ; Male ; Whooping Cough/complications ; Bordetella pertussis/genetics ; Respiratory Tract Infections/complications ; Brain Diseases/complications ; High-Throughput Nucleotide Sequencing
Language	English
Publishing date	2023-02-24
Publishing country	United States
Document type	Case Reports ; Journal Article
ZDB-ID	80184-7
ISSN	1536-5964 ; 0025-7974
ISSN (online)	1536-5964
ISSN	0025-7974
DOI	10.1097/MD.0000000000033080
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Article ; Online: On the coordination in diversity between water environmental capacity and regional development in the Three Gorges Reservoir area

Shen, Zhenling / Xia, Han / Zhang, Wanshun / Peng, Hong

Environ Sci Pollut Res. 2023 Mar., v. 30, no. 11 p.29727-29742

2023

Abstract: Water environment capacity has drew the attention of policymakers and stakeholders to sustainable development, and its dynamic changes are ultimately impacted by population, capital, and industrial clusters under regional development. Previous research, ... ...

Abstract	Water environment capacity has drew the attention of policymakers and stakeholders to sustainable development, and its dynamic changes are ultimately impacted by population, capital, and industrial clusters under regional development. Previous research, however, has not been able to completely comprehend it. In this paper, the authors use the Coupling Coordination Degree model and the Geodetector model to study the temporal and spatial evolution of water environment capacity and its driving mechanism based on regional development represented by regional function including urbanization function, ecological function, and agricultural function using the Three Gorges Reservoir area on county scale as a case study from 2000 to 2015. The results showed that (1) compared with 2000, 2005, and 2010, the water environment capacity of the whole reservoir area in 2015 was significantly improved. (2) The urban functions of each district and county are increasing in different years, and the dynamic changes of ecological and agricultural functions are obviously different. (3) The water environment capacity of districts and counties in the head area. There are significant disparities in the relationship between water environment capacity and regional function in various regions. Differences in water environment capacity are largely influenced by ecological function and the interaction driver of the proportion of agricultural function and urban function, which are typically the biggest of all the components. This suggests that regional development is a top priority in order to improve the operability of the water environmental capacity through more regulation, rules, and planning.
Keywords	capital ; case studies ; ecological function ; head ; models ; stakeholders ; sustainable development ; urbanization
Language	English
Dates of publication	2023-03
Size	p. 29727-29742.
Publishing place	Springer Berlin Heidelberg
Document type	Article ; Online
ZDB-ID	1178791-0
ISSN	1614-7499 ; 0944-1344
ISSN (online)	1614-7499
ISSN	0944-1344
DOI	10.1007/s11356-022-24239-3
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Article ; Online: Metagenomic next-generation sequencing of plasma cell-free DNA improves the early diagnosis of suspected infections.

Zhang, Hui / Liang, Ruobing / Zhu, Yunzhu / Hu, Lifen / Xia, Han / Li, Jiabin / Ye, Ying

BMC infectious diseases

2024 Volume 24, Issue 1, Page(s) 187

Abstract: Background: Metagenomic next-generation sequencing (mNGS) could improve the diagnosed efficiency of pathogens in bloodstream infections or sepsis. Little is known about the clinical impact of mNGS test when used for the early diagnosis of suspected ... ...

Abstract	Background: Metagenomic next-generation sequencing (mNGS) could improve the diagnosed efficiency of pathogens in bloodstream infections or sepsis. Little is known about the clinical impact of mNGS test when used for the early diagnosis of suspected infections. Herein, our main objective was to assess the clinical efficacy of utilizing blood samples to perform mNGS for early diagnosis of suspected infections, as well as to evaluate its potential in guiding antimicrobial therapy decisions. Methods: In this study, 212 adult hospitalized patients who underwent blood mNGS test in the early stage of suspected infections were enrolled. Diagnostic efficacy of mNGS test and blood culture was compared, and the clinical impact of mNGS on clinical care was analyzed. Results: In our study, the total detection rate of blood mNGS was significantly higher than that of culture method (74.4% vs. 12.1%, P < 0.001) in the paired mNGS test and blood culture. Blood stream infection (107, 67.3%) comprised the largest component of all the diseases in our patients, and the detection rate of single blood sample subgroup was similar with that of multiple type of samples subgroup. Among the 187 patients complained with fever, there was no difference in the diagnostic efficacy of mNGS when blood specimens or additional other specimens were used in cases presenting only with fever. While, when patients had other symptoms except fever, the performance of mNGS was superior in cases with specimens of suspected infected sites and blood collected at the same time. Guided by mNGS results, therapeutic regimens for 70.3% cases (149/212) were changed, and the average hospitalized days were significantly shortened in cases with the earlier sampling time of admission. Conclusion: In this study, we emphasized the importance of blood mNGS in early infectious patients with mild and non-specific symptoms. Blood mNGS can be used as a supplement to conventional laboratory examination, and should be performed as soon as possible to guide clinicians to perform appropriate anti-infection treatment timely and effectively. Additionally, combining the contemporaneous samples from suspected infection sites could improve disease diagnosis and prognoses. Further research needs to be better validated in large-scale clinical trials to optimize diagnostic protocol, and the cost-utility analysis should be performed.
MeSH term(s)	Adult ; Humans ; Sepsis/diagnosis ; Early Diagnosis ; High-Throughput Nucleotide Sequencing ; Blood Culture ; Fever ; Cell-Free Nucleic Acids ; Sensitivity and Specificity
Chemical Substances	Cell-Free Nucleic Acids
Language	English
Publishing date	2024-02-12
Publishing country	England
Document type	Journal Article
ZDB-ID	2041550-3
ISSN	1471-2334 ; 1471-2334
ISSN (online)	1471-2334
ISSN	1471-2334
DOI	10.1186/s12879-024-09043-3
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Article ; Online: On the coordination in diversity between water environmental capacity and regional development in the Three Gorges Reservoir area.

Shen, Zhenling / Xia, Han / Zhang, Wanshun / Peng, Hong

Environmental science and pollution research international

2022 Volume 30, Issue 11, Page(s) 29727–29742

Abstract	Water environment capacity has drew the attention of policymakers and stakeholders to sustainable development, and its dynamic changes are ultimately impacted by population, capital, and industrial clusters under regional development. Previous research, however, has not been able to completely comprehend it. In this paper, the authors use the Coupling Coordination Degree model and the Geodetector model to study the temporal and spatial evolution of water environment capacity and its driving mechanism based on regional development represented by regional function including urbanization function, ecological function, and agricultural function using the Three Gorges Reservoir area on county scale as a case study from 2000 to 2015. The results showed that (1) compared with 2000, 2005, and 2010, the water environment capacity of the whole reservoir area in 2015 was significantly improved. (2) The urban functions of each district and county are increasing in different years, and the dynamic changes of ecological and agricultural functions are obviously different. (3) The water environment capacity of districts and counties in the head area. There are significant disparities in the relationship between water environment capacity and regional function in various regions. Differences in water environment capacity are largely influenced by ecological function and the interaction driver of the proportion of agricultural function and urban function, which are typically the biggest of all the components. This suggests that regional development is a top priority in order to improve the operability of the water environmental capacity through more regulation, rules, and planning.
MeSH term(s)	Water ; Environment ; Urbanization ; Agriculture ; Sustainable Development ; China ; Conservation of Natural Resources ; Cities
Chemical Substances	Water (059QF0KO0R)
Language	English
Publishing date	2022-11-23
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1178791-0
ISSN	1614-7499 ; 0944-1344
ISSN (online)	1614-7499
ISSN	0944-1344
DOI	10.1007/s11356-022-24239-3
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Article ; Online: A novel optimization method for belief rule base expert system with activation rate

Gang Xiang / Jie Wang / XiaoXia Han / Shuaiwen Tang / Guanyu Hu

Scientific Reports, Vol 13, Iss 1, Pp 1-

2023 Volume 21

Abstract: Abstract Although the belief rule base (BRB) expert system has many advantages, such as the effective use of semi-quantitative information, objective description of uncertainty, and efficient nonlinear modeling capability, it is always limited by the ... ...

Abstract	Abstract Although the belief rule base (BRB) expert system has many advantages, such as the effective use of semi-quantitative information, objective description of uncertainty, and efficient nonlinear modeling capability, it is always limited by the problem of combinatorial explosion. The main reason is that the optimization of a BRB with many rules will consume many computing resources, which makes it unable to meet the real-time requirements in some complex systems. Another reason is that the optimization process will destroy the interpretability of those parameters that belong to the inadequately activated rules given by experts. To solve these problems, a novel optimization method for BRB is proposed in this paper. Through the activation rate, the rules that have never been activated or inadequately activated are pruned during the optimization process. Furthermore, even if there is a complete data set and all rules are activated, the activation rate can also be used in the parallel optimization process of the BRB expert system, where the training data set is divided into some subprocesses. The proposed method effectively solves the combinatorial explosion problem of BRB and can make full use of quantitative data without destroying the original interpretability provided by experts. Case studies prove the advantages and effectiveness of the proposed method, which greatly expands the application fields of the BRB expert system.
Keywords	Medicine ; R ; Science ; Q
Subject code	006
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	Nature Portfolio
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Diagnosis of primary amoebic meningoencephalitis by metagenomic next-generation sequencing

Che Xiujuan / He Zhiyi / Tung Tao-Hsin / Xia Han / Lu Zhibao

Open Life Sciences, Vol 18, Iss 1, Pp 1320-

A case report

2023 Volume 212

Abstract: Primary amoebic meningoencephalitis (PAM) caused by Naegleria fowleri is a fatal infection with a mortality rate of more than 95%, despite advances in antimicrobial chemotherapy and supportive care. Initial manifestations of PAM are indistinguishable ... ...

Abstract	Primary amoebic meningoencephalitis (PAM) caused by Naegleria fowleri is a fatal infection with a mortality rate of more than 95%, despite advances in antimicrobial chemotherapy and supportive care. Initial manifestations of PAM are indistinguishable from bacterial meningitis. Prompt diagnosis and antifungal treatment may help decline the overall mortality. Here we present a case of a 38-year-old man transferred to our hospital due to mild headache, which deteriorated quickly. Severe increased intracranial pressure was found. The cerebrospinal fluid (CSF) was yellowish with significantly increased leukocyte and protein. Smear and culture were negative. The patient was first diagnosed with pyogenic meningoencephalitis. However, the symptoms deteriorated. Metagenomic next-generation sequencing (mNGS) of CSF was applied and finally confirmed N. fowleri as the protist pathogen within 24 h. However, due to the time cost of sampling and transportation (2 days), the diagnosis came too late, and the patient passed away 1 day before. In summary, mNGS is a rapid and accurate diagnostic method for clinical practices, especially for rare central nervous system infections. It should be used as quickly as possible for acute infections, such as PAM. All aspects of patient interrogation and prompt identification should be paramount to ensure appropriate treatment and decline the overall mortality.
Keywords	naegleria fowleri ; primary amoebic meningoencephalitis ; metagenomic next-generation sequencing ; diagnosis ; case report ; Biology (General) ; QH301-705.5
Subject code	610
Language	English
Publishing date	2023-05-01T00:00:00Z
Publisher	De Gruyter
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Time series analysis and prediction model of percentage of influenza-like illness （ILI） cases in Shanghai

QIAN Chensi / JIANG Chenyan / XIA Han / ZHENG Yaxu / LIU Xinghang / YANG Mei / XIA Tian

Shanghai yufang yixue, Vol 35, Iss 2, Pp 116-

2023 Volume 121

Abstract: ObjectiveTo predict the incidence trend of influenza-like illness proportion （ILI%） in Shanghai using the seasonal autoregressive integrated moving average model （SARIMA）， and to provide an important reference for timely prevention and control measures ... ...

Abstract	ObjectiveTo predict the incidence trend of influenza-like illness proportion （ILI%） in Shanghai using the seasonal autoregressive integrated moving average model （SARIMA）， and to provide an important reference for timely prevention and control measures.MethodsTime series analysis was performed on ILI% surveillance data of Shanghai Municipal Center for Disease Control and Prevention from the 15th week of 2015 to the 52nd week of 2019， and a prediction model was established. Seasonal autoregressive integrated moving average （SARIMA） model was established using data from the foregoing 212 weeks， and prediction effect of the model was evaluated using data from the latter 36 weeks.ResultsFrom the 15th week of 2015 to the 52nd week of 2019， the average ILI% in Shanghai was 1.494%， showing an obvious epidemic peak. SARIMA（1，0，0）（2，0，0） 52 was finally modeled. The residual of the model was white noise sequence， and the true values were all within the 95% confidence interval of the predicted values.ConclusionSARIMA（1，0，0）（2，0，0） 52 can be used for the medium term prediction of ILI% in Shanghai， and can play an early warning role for the epidemic and outbreak of influenza in Shanghai.
Keywords	influenza ; influenza-like illness proportion ; time series ; seasonal autoregressive integrated moving average model ; Medicine ; R
Language	Chinese
Publishing date	2023-02-01T00:00:00Z
Publisher	Shanghai Preventive Medicine Association
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Diagnosis of primary amoebic meningoencephalitis by metagenomic next-generation sequencing: A case report.

Che, Xiujuan / He, Zhiyi / Tung, Tao-Hsin / Xia, Han / Lu, Zhibao

Open life sciences

2023 Volume 18, Issue 1, Page(s) 20220579

Abstract: Primary amoebic meningoencephalitis (PAM) caused ... ...

Abstract	Primary amoebic meningoencephalitis (PAM) caused by
Language	English
Publishing date	2023-05-23
Publishing country	Poland
Document type	Case Reports
ZDB-ID	2817958-4
ISSN	2391-5412 ; 2391-5412
ISSN (online)	2391-5412
ISSN	2391-5412
DOI	10.1515/biol-2022-0579
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