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Article: Research on energy saving of computer rooms in Chinese colleges and universities based on IoT and edge computing technology.

Qu, Jia

2022 Volume 8, Issue 10, Page(s) e10970

Abstract: To solve the problems of low overall service quality of the university computer room, unstable environment control of the computer room, low adaptive adjustment ability, and high energy consumption. This article takes Chinese universities as an example ... ...

Abstract	To solve the problems of low overall service quality of the university computer room, unstable environment control of the computer room, low adaptive adjustment ability, and high energy consumption. This article takes Chinese universities as an example to analyze university computer room supervision status, use the Internet of Things (IoT) to remotely and automatically monitor the computer room environment and energy consumption, and analyze the amount of data generated by the rapid increase of IoT edge devices. The method and model of edge computing in the computer room energy consumption monitoring system are proposed through research. The monitoring methods of critical parameters such as the computer room's thermal environment and energy consumption are given. Corresponding solutions for computer room management, testing, use, and energy-saving services are given. It provides a brand-new idea for energy saving in colleges and universities and network room security.
Language	English
Publishing date	2022-10-05
Publishing country	England
Document type	Journal Article
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2022.e10970
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Security research of blockchain technology in electronic medical records.

Qu, Jia

Medicine

2022 Volume 101, Issue 35, Page(s) e30507

Abstract: Background: A blockchain-based Electronic Health Record(EHR) data-sharing scheme was proposed to solve the problems of data sharing difficulties and privacy disclosure.: Methods: This paper designs a blockchain-based electronic health record model ... ...

Abstract	Background: A blockchain-based Electronic Health Record(EHR) data-sharing scheme was proposed to solve the problems of data sharing difficulties and privacy disclosure. Methods: This paper designs a blockchain-based electronic health record model based on the characteristics of blockchain antitampering, decentralization, and distributed storage. Utilize blockchain network and distributed database to store encryption-related access control policies to prevent EHR data from being tampered with and leaked. Data security sharing protocol combines Distributed Key Generation (DKG) and reencryption. Results: The protocol used the Delegated Proof of Stake(DPOS) algorithm to select the proxy node, which reencrypted the EHR to share data between a pair of users. Simulation experiments and comparative analysis showed that DPOS efficiency was higher than Proof of Work (POW) and slightly lower than the Practical Byzantine Fault Tolerance(PBFT). Conclusions: The scheme proposed in this paper is more decentralized and less computationally intensive.
MeSH term(s)	Blockchain ; Computer Security ; Electronic Health Records ; Humans ; Privacy ; Technology
Language	English
Publishing date	2022-09-15
Publishing country	United States
Document type	Journal Article
ZDB-ID	80184-7
ISSN	1536-5964 ; 0025-7974
ISSN (online)	1536-5964
ISSN	0025-7974
DOI	10.1097/MD.0000000000030507
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Article ; Online: Research on energy saving of computer rooms in Chinese colleges and universities based on IoT and edge computing technology

Qu, Jia

Heliyon. 2022 Oct., v. 8, no. 10 p.e10970-

2022

Abstract	To solve the problems of low overall service quality of the university computer room, unstable environment control of the computer room, low adaptive adjustment ability, and high energy consumption. This article takes Chinese universities as an example to analyze university computer room supervision status, use the Internet of Things (IoT) to remotely and automatically monitor the computer room environment and energy consumption, and analyze the amount of data generated by the rapid increase of IoT edge devices. The method and model of edge computing in the computer room energy consumption monitoring system are proposed through research. The monitoring methods of critical parameters such as the computer room's thermal environment and energy consumption are given. Corresponding solutions for computer room management, testing, use, and energy-saving services are given. It provides a brand-new idea for energy saving in colleges and universities and network room security.
Keywords	Internet ; computers ; energy ; energy conservation ; models ; IoT ; Edge device ; Edge computing ; Data analysis ; Energy consumption monitoring
Language	English
Dates of publication	2022-10
Publishing place	Elsevier Ltd
Document type	Article ; Online
Note	Use and reproduction
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2022.e10970
Database	NAL-Catalogue (AGRICOLA)

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Article: Editorial: Multi-omics studies on aging and age-related diseases.

Wang, He-Ping / Basisty, Nathan / Qu, Jia-Hua / Wang, Xiaoman

Frontiers in cell and developmental biology

2024 Volume 12, Page(s) 1374424

Language	English
Publishing date	2024-01-31
Publishing country	Switzerland
Document type	Editorial
ZDB-ID	2737824-X
ISSN	2296-634X
ISSN	2296-634X
DOI	10.3389/fcell.2024.1374424
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Article: Social Bonding, Risky Lifestyle, and Polyvictimization Among a Sample of Chinese Adolescents.

Qu, Jia / Fan, Yupeng / Feng, Xuxuan / Liu, Weidi / Fan, Qi

Violence and victims

2024 Volume 39, Issue 1, Page(s) 88–103

Abstract: Polyvictimization has received substantial scholarly attention globally since it has been put forward two decades ago. However, the current lack of understanding of the causes of polyvictimization hinders the design of intervention programs. This study ... ...

Abstract	Polyvictimization has received substantial scholarly attention globally since it has been put forward two decades ago. However, the current lack of understanding of the causes of polyvictimization hinders the design of intervention programs. This study aims to integrate social bonding theory and lifestyle-routine activity theory to understand the etiology of polyvictimization in the Chinese context. Our results suggest that social bonding exerted not only a direct effect on polyvictimization (
MeSH term(s)	Adolescent ; Female ; Humans ; Male ; Crime Victims ; Juvenile Delinquency ; Life Style ; Risk-Taking ; East Asian People
Language	English
Publishing date	2024-03-07
Publishing country	United States
Document type	Journal Article
ZDB-ID	639280-5
ISSN	1945-7073 ; 0886-6708
ISSN (online)	1945-7073
ISSN	0886-6708
DOI	10.1891/VV-2022-0004
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Article: Experimental and Numerical Study on Impact Behavior of Hourglass Lattice Sandwich Structures with Gradients.

Wu, Hexiang / Qu, Jia / Wu, Linzhi

Materials (Basel, Switzerland)

2023 Volume 16, Issue 18

Abstract: The impact mechanical properties of graded hourglass lattice sandwich structures under impact compression were studied using experiments and numerical simulations. The influence of the gradient distribution on the deformation mode, peak load, and energy ... ...

Abstract	The impact mechanical properties of graded hourglass lattice sandwich structures under impact compression were studied using experiments and numerical simulations. The influence of the gradient distribution on the deformation mode, peak load, and energy absorption capacity of the hourglass lattice sandwich structure under the same impact energy level, different impact masses, and different impact velocities is discussed. The results show that the difference in impact mass and velocity has a significant effect on the impact mechanical properties of the graded hourglass lattice sandwich structure under the same impact energy level. The gradient distribution mode is a factor that requires careful consideration in the design. A reasonable gradient distribution design can control the initial and compression peak loads to achieve similarly low values and improve the load consistency of the hourglass lattice sandwich structure. The total energy absorption of the hourglass lattice sandwich structures with different gradient distributions is the same; however, the energy absorption capacity is different at different deformation stages. When the moving distance is 0.005 m, the gradient hourglass lattice sandwich structures with the mass decline distribution can absorb 1 kJ/kg more energy than the gradient hourglass lattice sandwich structures with the mass increment distribution. When the moving distance is 0.037 m, the mass decline distribution gradient hourglass lattice sandwich structures absorb 1 kJ/kg less energy than the mass increment distribution gradient hourglass lattice sandwich structures.
Language	English
Publishing date	2023-09-19
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2487261-1
ISSN	1996-1944
ISSN	1996-1944
DOI	10.3390/ma16186275
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Article ; Online: Effect of the gut microbiome in glaucoma risk from the causal perspective.

Wu, Yaxuan / Shi, Ronghua / Chen, He / Zhang, Zicheng / Bao, Siqi / Qu, Jia / Zhou, Meng

BMJ open ophthalmology

2024 Volume 9, Issue 1

Abstract: Objective: Evidence from observational studies has reported possible associations between the gut microbiome (GM) and glaucoma. However, the causal effect of GM on glaucoma risk remains to be determined.: Methods and analysis: We conducted two-sample ...

Abstract	Objective: Evidence from observational studies has reported possible associations between the gut microbiome (GM) and glaucoma. However, the causal effect of GM on glaucoma risk remains to be determined. Methods and analysis: We conducted two-sample bidirectional Mendelian randomisation (MR) analyses to explore the causal association between GM and glaucoma. Genome-wide association study summary statistics of 196 GM taxa (n=18 340) and glaucoma (18 902 cases and 358 375 controls) were obtained from MiBioGen and FinnGen Consortium. Inverse variance weighted, MR-Egger, weighted median, weighted mode, Mendelian Randomisation Pleiotropy Residual Sum and Outlier, MR-Egger intercept and Cochran's Q statistical analyses were used to supplement MR results and sensitivity analysis. An independent cohort from the Medical Research Council (MRC) Integrative Epidemiology Unit at the University of Bristol (MRC-IEU) Consortium (1715 cases and 359 479 controls) was used to validate causal effects. Results: Results of the MR analysis suggested that the family Conclusion: This MR analysis from large population studies demonstrated the causal effect of GM on glaucoma risk and supported the role of GM in influencing glaucoma susceptibility.
MeSH term(s)	Humans ; Actinobacteria ; Causality ; Gastrointestinal Microbiome/genetics ; Genome-Wide Association Study ; Glaucoma/epidemiology ; Mendelian Randomization Analysis
Language	English
Publishing date	2024-01-29
Publishing country	England
Document type	Journal Article
ISSN	2397-3269
ISSN (online)	2397-3269
DOI	10.1136/bmjophth-2023-001547
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Article: Deep learning-based immunohistochemical estimation of breast cancer via ultrasound image applications.

Yan, Ding / Zhao, Zijian / Duan, Jiajun / Qu, Jia / Shi, Linlin / Wang, Qian / Zhang, Huawei

Frontiers in oncology

2024 Volume 13, Page(s) 1263685

Abstract: Background: Breast cancer is the key global menace to women's health, which ranks first by mortality rate. The rate reduction and early diagnostics of breast cancer are the mainstream of medical research. Immunohistochemical examination is the most ... ...

Abstract	Background: Breast cancer is the key global menace to women's health, which ranks first by mortality rate. The rate reduction and early diagnostics of breast cancer are the mainstream of medical research. Immunohistochemical examination is the most important link in the process of breast cancer treatment, and its results directly affect physicians' decision-making on follow-up medical treatment. Purpose: This study aims to develop a computer-aided diagnosis (CAD) method based on deep learning to classify breast ultrasound (BUS) images according to immunohistochemical results. Methods: A new depth learning framework guided by BUS image data analysis was proposed for the classification of breast cancer nodes in BUS images. The proposed CAD classification network mainly comprised three innovation points. First, a multilevel feature distillation network (MFD-Net) based on CNN, which could extract feature layers of different scales, was designed. Then, the image features extracted at different depths were fused to achieve multilevel feature distillation using depth separable convolution and reverse depth separable convolution to increase convolution depths. Finally, a new attention module containing two independent submodules, the channel attention module (CAM) and the spatial attention module (SAM), was introduced to improve the model classification ability in channel and space. Results: A total of 500 axial BUS images were retrieved from 294 patients who underwent BUS examination, and these images were detected and cropped, resulting in breast cancer node BUS image datasets, which were classified according to immunohistochemical findings, and the datasets were randomly subdivided into a training set (70%) and a test set (30%) in the classification process, with the results of the four immune indices output simultaneously from training and testing, in the model comparison experiment. Taking ER immune indicators as an example, the proposed model achieved a precision of 0.8933, a recall of 0.7563, an F1 score of 0.8191, and an accuracy of 0.8386, significantly outperforming the other models. The results of the designed ablation experiment also showed that the proposed multistage characteristic distillation structure and attention module were key in improving the accuracy rate. Conclusion: The extensive experiments verify the high efficiency of the proposed method. It is considered the first classification of breast cancer by immunohistochemical results in breast cancer image processing, and it provides an effective aid for postoperative breast cancer treatment, greatly reduces the difficulty of diagnosis for doctors, and improves work efficiency.
Language	English
Publishing date	2024-01-09
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2649216-7
ISSN	2234-943X
ISSN	2234-943X
DOI	10.3389/fonc.2023.1263685
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Article: Prognosis stratification and response to treatment in breast cancer based on one-carbon metabolism-related signature.

Zhang, Tongxin / Liu, Jingyu / Wang, Meihuan / Liu, Xiao / Qu, Jia / Zhang, Huawei

Frontiers in oncology

2024 Volume 13, Page(s) 1288909

Abstract: Introduction: Breast cancer (BC) is the most common malignant tumor in the female population. Despite staging and treatment consensus guidelines, significant heterogeneity exists in BC patients' prognosis and treatment efficacy. Alterations in one- ... ...

Abstract	Introduction: Breast cancer (BC) is the most common malignant tumor in the female population. Despite staging and treatment consensus guidelines, significant heterogeneity exists in BC patients' prognosis and treatment efficacy. Alterations in one-carbon (1C) metabolism are critical for tumor growth, but the value of the role of 1C metabolism in BC has not been fully investigated. Methods: To investigate the prognostic value of 1C metabolism-related genes in BC, 72 1C metabolism-related genes from GSE20685 dataset were used to construct a risk-score model via univariate Cox regression analysis and the least absolute shrinkage and selection operator (LASSO) regression algorithm, which was validated on three external datasets. Based on the risk score, all BC patients were categorized into high-risk and low-risk groups. The predictive ability of the model in the four datasets was verified by plotting Kaplan-Meier curve and receiver operating characteristic (ROC) curve. The candidate genes were then analyzed in relation to gene mutations, gene enrichment pathways, immune infiltration, immunotherapy, and drug sensitivity. Results: We identified a 7-gene 1C metabolism-related signature for prognosis and structured a prognostic model. ROC analysis demonstrated that the model accurately predicted the 2-, 3-, and 5-year overall survival rate of BC patients in the four cohorts. Kaplan-Meier analysis revealed that survival time of high-risk patients was markedly shorter than that of low-risk patients (p < 0.05). Meanwhile, high-risk patients had a higher tumor mutational burden (TMB), enrichment of tumor-associated pathways such as the IL-17 signaling pathway, lower levels of T follicular helper (Tfh) and B cells naive infiltration, and poorer response to immunotherapy. Furthermore, a strong correlation was found between MAT2B and CHKB and immune checkpoints. Discussion: These findings offer new insights into the effect of 1C metabolism in the onset, progression, and therapy of BC and can be used to assess BC patients' prognosis, study immune infiltration, and develop potentially more effective clinical treatment options.
Language	English
Publishing date	2024-01-04
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2649216-7
ISSN	2234-943X
ISSN	2234-943X
DOI	10.3389/fonc.2023.1288909
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Article: The causal effect of oxidative stress on the risk of glaucoma.

Shi, Ronghua / Wu, Yaxuan / Chen, He / Zhang, Zicheng / Bao, Siqi / Qu, Jia / Zhou, Meng

Heliyon

2024 Volume 10, Issue 3, Page(s) e24852

Abstract: Glaucoma is a complex multifactorial disease. Oxidative stress has been implicated in its pathogenesis. However, establishing a causal relationship between oxidative stress and glaucoma is challenging due to confounding and reverse causality. In this ... ...

Abstract	Glaucoma is a complex multifactorial disease. Oxidative stress has been implicated in its pathogenesis. However, establishing a causal relationship between oxidative stress and glaucoma is challenging due to confounding and reverse causality. In this study, we performed bidirectional two-sample Mendelian randomization (MR) analyses based on genetic instrumental variables as proxies for 11 biomarkers of oxidative stress injury to investigate the causal relationship between oxidative stress and glaucoma. Eight significant associations were identified. Increased circulating levels of catalase (OR = 0.915, 95 % CI: 0.848-0.987,
Language	English
Publishing date	2024-01-17
Publishing country	England
Document type	Journal Article
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2024.e24852
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