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  1. Thesis ; Online: Encounter Border Creatures in Human Fabrications

    Shen, Xiaoyi

    The becoming of human on a corona para-site

    2020  

    Abstract: This project seeks opportunities to dissolve identity boundaries between the human and nonhuman by speculating into alternative scenarios of a ‘Border Creature’s life in a human-fabricated world. I took advantage of my newly acquired nonhuman identity, ... ...

    Abstract This project seeks opportunities to dissolve identity boundaries between the human and nonhuman by speculating into alternative scenarios of a ‘Border Creature’s life in a human-fabricated world. I took advantage of my newly acquired nonhuman identity, the Novel Coronavirus (SARS-COV2-19), which is known for causing a global pandemic (Covid-19) in the year 2020, and ‘transferred’ myself into a Border Creature. Via designed tangible facial devices and speculative scenarios built by photography and ‘dairy’ writing, the project is to highlight the shared identity a human has with Coronavirus in Växjö city, Sweden, and to confront the inhuman status Border Creature is undertaking due to social stigmatization in order to raise questions and reflections around our prefigured definition of what is human.
    Keywords Identity ; Border ; Border Creature ; Ontological design ; Shape-shifting ; Perception shifting ; Becoming human ; Arts ; Konst ; Design ; covid19
    Language English
    Publisher Linnéuniversitetet, Institutionen för design (DE)
    Publishing country se
    Document type Thesis ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Consequences of abolishing the COVID-19 zero-tolerance policy in Shanghai: Lessons for future responses.

    Xu, Zhongqing / Shi, Dandan / Ding, Jingjing / Lu, Hong / Shen, Xiaoyi / Hambly, Brett / Bao, Shisan

    Australian journal of general practice

    2024  Volume 53, Issue 1-2, Page(s) 78–80

    MeSH term(s) Humans ; COVID-19 ; China/epidemiology ; Policy
    Language English
    Publishing date 2024-02-05
    Publishing country Australia
    Document type Journal Article
    ZDB-ID 2924889-9
    ISSN 2208-7958 ; 2208-794X
    ISSN (online) 2208-7958
    ISSN 2208-794X
    DOI 10.31128/AJGP/05-23-6830
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: What is behind the meta-learning initialization of adaptive filter? - A naive method for accelerating convergence of adaptive multichannel active noise control.

    Shi, Dongyuan / Gan, Woon-Seng / Shen, Xiaoyi / Luo, Zhengding / Ji, Junwei

    Neural networks : the official journal of the International Neural Network Society

    2024  Volume 172, Page(s) 106145

    Abstract: Active noise control (ANC) is a typical signal-processing technique that has recently been utilized extensively to combat the urban noise problem. Although numerous advanced adaptive algorithms have been devised to enhance noise reduction performance, ... ...

    Abstract Active noise control (ANC) is a typical signal-processing technique that has recently been utilized extensively to combat the urban noise problem. Although numerous advanced adaptive algorithms have been devised to enhance noise reduction performance, few of them have been implemented in actual ANC products due to their high computational complexity and slow convergence. With the rapid development of deep learning technology, Meta-learning-based initialization appears to become an efficient and cost-effective method for accelerating the convergence of adaptive algorithms. However, few dedicated Meta-learning algorithms exist for adaptive signal processing applications, particularly multichannel active noise control (MCANC). Hence, we proposed a modified Model-Agnostic Meta-Learning (MAML) initialization for the MCANC system.
    MeSH term(s) Noise ; Computer Simulation ; Algorithms ; Signal Processing, Computer-Assisted ; Least-Squares Analysis
    Language English
    Publishing date 2024-01-24
    Publishing country United States
    Document type Journal Article
    ZDB-ID 740542-x
    ISSN 1879-2782 ; 0893-6080
    ISSN (online) 1879-2782
    ISSN 0893-6080
    DOI 10.1016/j.neunet.2024.106145
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Book ; Online: Practical Active Noise Control

    Gan, Woon-Seng / Shi, Dongyuan / Shen, Xiaoyi

    Restriction of Maximum Output Power

    2023  

    Abstract: This paper presents some recent algorithms developed by the authors for real-time adaptive active noise (AANC) control systems. These algorithms address some of the common challenges faced by AANC systems, such as speaker saturation, system divergence, ... ...

    Abstract This paper presents some recent algorithms developed by the authors for real-time adaptive active noise (AANC) control systems. These algorithms address some of the common challenges faced by AANC systems, such as speaker saturation, system divergence, and disturbance rejection. Speaker saturation can introduce nonlinearity into the adaptive system and degrade the noise reduction performance. System divergence can occur when the secondary speaker units are over-amplified or when there is a disturbance other than the noise to be controlled. Disturbance rejection is important to prevent the adaptive system from adapting to unwanted signals. The paper provides guidelines for implementing and operating real-time AANC systems based on these algorithms.

    Comment: 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
    Keywords Electrical Engineering and Systems Science - Signal Processing
    Publishing date 2023-07-20
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Systematic analysis of the prognostic and immunological role of DHX33 in pan‐cancer

    Ding, Jingjing / Zhou, Jun / Shen, Xiaoyi / Zhang, Min / Feng, Xianzhen / Xu, Zhongqing

    Environmental Toxicology. 2023 Aug., v. 38, no. 8 p.2011-2021

    2023  

    Abstract: DEAH‐box helicase 33 (DHX33) is a potent oncogenic agent on patients with hepatocellular carcinoma and colon cancer. Nevertheless, the prognostic significance of DHX33 in human pan‐cancers remains unclear. Various bioinformatics tools have been used to ... ...

    Abstract DEAH‐box helicase 33 (DHX33) is a potent oncogenic agent on patients with hepatocellular carcinoma and colon cancer. Nevertheless, the prognostic significance of DHX33 in human pan‐cancers remains unclear. Various bioinformatics tools have been used to clarify the oncogenic effects of DHX33 in pan‐cancers. The Cancer Genome Atlas (TCGA) and Human Protein Atlas (HPA) were used to evaluate DHX33 at the mRNA and protein levels, respectively. The pan‐cancer prognostic prediction value of DHX33 was evaluated using the Kaplan–Meier plotter. The association between DHX33 levels and clinicopathological features was then determined using the UALCAN database. In addition, gene set enrichment analysis and nomogram prediction models were constructed. The association between DHX33 levels and immune cell infiltration was then assessed using TISIDB. We determined that DHX33 is aberrantly overexpressed in pan‐cancers and related to lung adenocarcinoma (LUAD) clinical stage (p < .001). Moreover, DHX33 overexpression was indicative of poor overall survival, disease‐free survival, and progression‐free interval in patients with LUAD (p < .05). Furthermore, DHX33 levels were associated with age, N stage, T stage, and pathologic stage in patients with LUAD (p < .001). Additionally, multivariate Cox analysis revealed that DHX33 was an independent risk factor for OS in patients with LUAD. A nomogram model between DHX33 levels and characteristic clinical parameters was developed. Additionally, DHX33 levels correlated with immunomodulators and chemokines. Finally, gene set enrichment analysis revealed that the amyloid fiber formation pathway and the WICH complex positively regulates RNA expression pathway, which was the most enriched in LUAD. Our data revealed oncogenic effects of DHX33 in various cancers. We suggest that DHX33 may serve as a biomarker for poor prognosis in LUAD.
    Keywords RNA ; adenocarcinoma ; amyloid ; bioinformatics ; biomarkers ; chemokines ; colorectal neoplasms ; databases ; ecotoxicology ; genes ; hepatoma ; humans ; immunomodulators ; lungs ; models ; nomogram ; prediction ; prognosis ; risk factors
    Language English
    Dates of publication 2023-08
    Size p. 2011-2021.
    Publishing place John Wiley & Sons, Inc.
    Document type Article ; Online
    Note JOURNAL ARTICLE
    ZDB-ID 1463449-1
    ISSN 1522-7278 ; 1520-4081
    ISSN (online) 1522-7278
    ISSN 1520-4081
    DOI 10.1002/tox.23827
    Database NAL-Catalogue (AGRICOLA)

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  6. Article ; Online: Facile one-pot hydrothermal synthesis of reticulated porous tobermorite for fast phosphorus recovery

    Han, Mingyu / Shen, Xiaoyi / Shao, Hongmei / Liu, Yan / Han, Qing / Zhai, Yuchun

    Colloids and Surfaces A: Physicochemical and Engineering Aspects. 2023 June, v. 666 p.131349-

    2023  

    Abstract: Phosphorus, a depletable resource in nature, has been constantly consumed. Its recovery still remains difficult to be solved. Tobermorite (Ca₅Si₆O₁₆(OH)₂) with chemical stability is an efficient adsorbent for phosphorus. Herein, the reticulated porous ... ...

    Abstract Phosphorus, a depletable resource in nature, has been constantly consumed. Its recovery still remains difficult to be solved. Tobermorite (Ca₅Si₆O₁₆(OH)₂) with chemical stability is an efficient adsorbent for phosphorus. Herein, the reticulated porous tobermorite (CSH) was successfully synthesized through a facile one-step hydrothermal process and its adsorption performance for phosphorus was evaluated. The adsorption reached the equilibrium within 5 min. The kinetic study demonstrated that the adsorption followed the pseudo-second-order model, indicating the adsorption involved the chemisorption. The adsorption perfectly fitted the Langmuir isotherm. The calculated maximum adsorption capacity is 152.46 mg·g⁻¹ at room temperature. Its excellent adsorption performance for phosphorus is attributed to its reticulated porous structure and larger specific surface area. The adsorption is mainly affected by the electrostatic interaction and the releasing ability of OH⁻ and Ca²⁺ from the CSH. Reticulated porous CSH is a potential efficient adsorbent for phosphorus recovery owing to its facile synthesis, fast adsorption rate, high adsorption capacity and excellent reusability, which provide a feasible alternative for phosphorus recovery.
    Keywords adsorbents ; adsorption ; ambient temperature ; calcium ; electrostatic interactions ; models ; phosphorus ; sorption isotherms ; surface area ; Phosphorus recovery ; Reticulated porous tobermorite ; Hydrothermal ; Adsorption mechanism
    Language English
    Dates of publication 2023-06
    Publishing place Elsevier B.V.
    Document type Article ; Online
    ZDB-ID 1500517-3
    ISSN 0927-7757
    ISSN 0927-7757
    DOI 10.1016/j.colsurfa.2023.131349
    Database NAL-Catalogue (AGRICOLA)

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  7. Article ; Online: What drives the decrease of glacier surface albedo in High Mountain Asia in the past two decades?

    Xiao, Yao / Ke, Chang-Qing / Shen, Xiaoyi / Cai, Yu / Li, Haili

    Science of the Total Environment. 2023 Mar., v. 863 p.160945-

    2023  

    Abstract: Glacier surface albedo is an important factor affecting glacier ablation, and a positive feedback mechanism has been observed between the surface albedo and mass balance of glaciers. It is important to understand the driving factors and mechanisms of ... ...

    Abstract Glacier surface albedo is an important factor affecting glacier ablation, and a positive feedback mechanism has been observed between the surface albedo and mass balance of glaciers. It is important to understand the driving factors and mechanisms of glacier albedo changes (GAC). Based on the MODIS (Moderate resolution imaging spectroradiometer)-derived MOD10A1 and MYD10A1 albedo products, the glacier albedo trends in each MODIS grid cell during each melt season in High-Mountains Asia (HMA) from 2000 to 2020 were calculated. Decreasing glacier albedo trends were found, with a decline rate of 0.25 × 10⁻² yr⁻¹; in addition, the GACs exhibited great spatial differences among the 15 subregions. The geographical detector model (GDM) is a new spatial statistical method that can quantitatively reveal the driving forces of climate factors and light-absorbing particles on GAC under single-factor and two-factor interactions. These driving forces can be measured by the corresponding q value. The results showed that on the whole, solid precipitation (snowfall) had the strongest impact on GAC, followed by the glacier surface temperature. The q values of black carbon (BC) and dust were <0.1, but BC or dust had the greatest q value in the 9 subregions. The effects of each factor differed among different elevation zones. The interaction detector indicated that the q value under the influence of two factors was greater than that under a single factor, and the strongest interaction was between snowfall and BC, followed by between snowfall and dust. In 15 subregions, most of the greatest q values in each region corresponded to an interaction with BC or dust. Here, we obtained the main driving factors of GAC in different regions and emphasized the interactions between climatic factors and light-absorbing particles; these results provide references for further studies of glacier mass balance and surface albedo.
    Keywords carbon ; climate ; dust ; environment ; glaciers ; models ; snow ; spectroradiometers ; surface temperature ; Asia ; Glacier albedo changes ; Geographical detector model ; Driving factor ; Interaction ; High Mountain Asia
    Language English
    Dates of publication 2023-03
    Publishing place Elsevier B.V.
    Document type Article ; Online
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2022.160945
    Database NAL-Catalogue (AGRICOLA)

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  8. Article ; Online: Systematic analysis of the prognostic and immunological role of DHX33 in pan-cancer.

    Ding, Jingjing / Zhou, Jun / Shen, Xiaoyi / Zhang, Min / Feng, Xianzhen / Xu, Zhongqing

    Environmental toxicology

    2023  Volume 38, Issue 8, Page(s) 2011–2021

    Abstract: DEAH-box helicase 33 (DHX33) is a potent oncogenic agent on patients with hepatocellular carcinoma and colon cancer. Nevertheless, the prognostic significance of DHX33 in human pan-cancers remains unclear. Various bioinformatics tools have been used to ... ...

    Abstract DEAH-box helicase 33 (DHX33) is a potent oncogenic agent on patients with hepatocellular carcinoma and colon cancer. Nevertheless, the prognostic significance of DHX33 in human pan-cancers remains unclear. Various bioinformatics tools have been used to clarify the oncogenic effects of DHX33 in pan-cancers. The Cancer Genome Atlas (TCGA) and Human Protein Atlas (HPA) were used to evaluate DHX33 at the mRNA and protein levels, respectively. The pan-cancer prognostic prediction value of DHX33 was evaluated using the Kaplan-Meier plotter. The association between DHX33 levels and clinicopathological features was then determined using the UALCAN database. In addition, gene set enrichment analysis and nomogram prediction models were constructed. The association between DHX33 levels and immune cell infiltration was then assessed using TISIDB. We determined that DHX33 is aberrantly overexpressed in pan-cancers and related to lung adenocarcinoma (LUAD) clinical stage (p < .001). Moreover, DHX33 overexpression was indicative of poor overall survival, disease-free survival, and progression-free interval in patients with LUAD (p < .05). Furthermore, DHX33 levels were associated with age, N stage, T stage, and pathologic stage in patients with LUAD (p < .001). Additionally, multivariate Cox analysis revealed that DHX33 was an independent risk factor for OS in patients with LUAD. A nomogram model between DHX33 levels and characteristic clinical parameters was developed. Additionally, DHX33 levels correlated with immunomodulators and chemokines. Finally, gene set enrichment analysis revealed that the amyloid fiber formation pathway and the WICH complex positively regulates RNA expression pathway, which was the most enriched in LUAD. Our data revealed oncogenic effects of DHX33 in various cancers. We suggest that DHX33 may serve as a biomarker for poor prognosis in LUAD.
    MeSH term(s) Humans ; Prognosis ; Adenocarcinoma of Lung ; Carcinoma, Hepatocellular ; Liver Neoplasms ; Lung Neoplasms ; DEAD-box RNA Helicases/genetics
    Chemical Substances DHX33 protein, human (EC 3.6.1.-) ; DEAD-box RNA Helicases (EC 3.6.4.13)
    Language English
    Publishing date 2023-05-31
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1463449-1
    ISSN 1522-7278 ; 1520-4081
    ISSN (online) 1522-7278
    ISSN 1520-4081
    DOI 10.1002/tox.23827
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Analysis of Prescription Compliance and Influencing Factors in Cardiac Rehabilitation after Surgery in Children with Congenital Heart Disease Based on Generalized Trust Theory.

    Shen, Xiao-Yi / Chen, Lin / Yuan, Li / Zhu, Ya-Qi / Cai, Xiao-Man / Guan, Yong-Mei / Luo, Wen-Yi

    European journal of cardiovascular nursing

    2024  

    Abstract: Aims: To understand the compliance, influencing factors, and action path of family cardiac rehabilitation exercise prescriptions for children after congenital heart disease surgery.: Methods and results: A random sampling method was used to select ... ...

    Abstract Aims: To understand the compliance, influencing factors, and action path of family cardiac rehabilitation exercise prescriptions for children after congenital heart disease surgery.
    Methods and results: A random sampling method was used to select 200 pediatric patients and their parents from a pediatric hospital in Shanghai. Among them, 57 cases (28.5%) of children's families followed the cardiac rehabilitation exercise prescription. Path analysis showed that peak oxygen uptake exerted a negative impact on the compliance of family cardiac-rehabilitation prescriptions for patients after congenital heart disease surgery through doctor-patient trust, with a standardized path coefficient of -0.246 (P = 0.001). Disease-related knowledge exerted a positive effect on the compliance of family cardiac-rehabilitation prescriptions for children after congenital heart surgery through doctor-patient trust, with a standardized path coefficient of 0.353 (P < 0.001). The dimension of friend support in social support had a direct positive effect on the compliance of family cardiac-rehabilitation prescriptions for children after cardiac surgery, with a standardized path coefficient of 0.641 (P = 0.006).
    Conclusion: The compliance of cardiac rehabilitation exercise prescription in children with congenital heart disease is not good and is affected by many factors, and there is a complex path relationship between various factors; the kilogram oxygen consumption of the child, the disease-related knowledge of the caregiver, and social support all play important roles in the compliance of the child's family's health prescription.
    Registration: SCMCIRB-K2021002-1.
    Language English
    Publishing date 2024-01-02
    Publishing country England
    Document type Journal Article
    ZDB-ID 2151245-0
    ISSN 1873-1953 ; 1474-5151
    ISSN (online) 1873-1953
    ISSN 1474-5151
    DOI 10.1093/eurjcn/zvad140
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Comparison of machine learning algorithms based on Sentinel-1A data to detect icebergs

    XIAO Xiangwen / SHEN Xiaoyi / KE Changqing / ZHOU Xinghua

    Acta Geodaetica et Cartographica Sinica, Vol 49, Iss 4, Pp 509-

    2020  Volume 521

    Abstract: Iceberg detection is of great significance for marine environmental monitoring and safe sailing of vessels. It is an important part of the construction of the Arctic channel and the exploitation of the Arctic. Iceberg detection using synthetic aperture ... ...

    Abstract Iceberg detection is of great significance for marine environmental monitoring and safe sailing of vessels. It is an important part of the construction of the Arctic channel and the exploitation of the Arctic. Iceberg detection using synthetic aperture radar (SAR) images has unique advantages. Many machine learning algorithms can be used in the recognition of icebergs in SAR images. In order to maximize the performance of machine learning algorithms, it is necessary to evaluate different machine learning algorithms and their matching feature and feature standardization methods, so as to select the optimal iceberg detection process method. Therefore, based on Sentinel-1A SAR image, this paper uses a variety of machine learning methods, a variety of feature combinations and a variety of feature standardization methods for iceberg detection, and compares the performance differences of each process method. Machine learning algorithms include Bayes classifier (Bayes), back propagation neural network (BPNN), linear discriminant analysis (LDA), random forest (RF) and support vector machine (SVM); feature standardization methods include Min-max standardization, Z-score standardization and log function standardization; data sets are comprised of 969 iceberg and non-iceberg samples with 12 SAR image features, located mainly on the east coast of Greenland. The classification result is measured by the area under the receiver operating characteristic (ROC) curve (AUC). The results show that the AUC value of RF with the best configuration is the highest, reaching 0.945, which is 0.09 higher than worst Bayes. In terms of detection rate, under the case of 80% iceberg recall rate, the non-iceberg recall rate of RF is 92.6%, which is the best, 1.4% higher than the second BPNN, 2.6% higher than the worst Bayes; under the case of 90% iceberg recall rate, the non-iceberg recall rate of BPNN is 87.4%, 0.8% higher than the second RF and 2.7% higher than the worst Bayes. The above results show that it is very important to select the best machine learning algorithm, the best features and feature standardization method for iceberg detection.
    Keywords iceberg ; machine learning ; sentinel-1a ; sar ; Mathematical geography. Cartography ; GA1-1776
    Subject code 006
    Language Chinese
    Publishing date 2020-04-01T00:00:00Z
    Publisher Surveying and Mapping Press
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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