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Article ; Online: Clinical features of recurrent preeclampsia: a retrospective study of 109 recurrent preeclampsia patients.

Han, Shujie / Zhang, Hui / He, Yingdong / Chen, Qian

Hypertension research : official journal of the Japanese Society of Hypertension

2024

Abstract: Our study aimed to investigate the clinical features of recurrent preeclampsia (rPE) and evaluate the preventive effect of low-dose aspirin (LDA) in rPE. We retrospectively analyzed the data of 109 patients who experienced preeclampsia in two consecutive ...

Abstract	Our study aimed to investigate the clinical features of recurrent preeclampsia (rPE) and evaluate the preventive effect of low-dose aspirin (LDA) in rPE. We retrospectively analyzed the data of 109 patients who experienced preeclampsia in two consecutive pregnancies and delivered at Peking University First Hospital from January 2016 to December 2022. We analyzed the pregnancy outcomes of patients with rPE and assessed whether the use of LDA during pregnancy could improve these outcomes. Our results revealed that patients with rPE had a higher body mass index (BMI) and a higher incidence of diabetes during pregnancy compared to their first onset of preeclampsia (29.01 ± 4.70 kg/m
Language	English
Publishing date	2024-03-04
Publishing country	England
Document type	Journal Article
ZDB-ID	1175297-x
ISSN	1348-4214 ; 0916-9636
ISSN (online)	1348-4214
ISSN	0916-9636
DOI	10.1038/s41440-024-01623-9
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Article ; Online: Update on Omicron variant and its threat to vulnerable populations.

Dai, Bowen / Ji, Wangquan / Zhu, Peiyu / Han, Shujie / Chen, Yu / Jin, Yuefei

Public health in practice (Oxford, England)

2024 Volume 7, Page(s) 100494

Abstract: Objective: To reduce the incidence of severe illness and fatalities, and promote the awareness of protection and precaution, increased vaccination, strengthen the physical fitness, frequent ventilation, and health education should be enhanced among ... ...

Abstract	Objective: To reduce the incidence of severe illness and fatalities, and promote the awareness of protection and precaution, increased vaccination, strengthen the physical fitness, frequent ventilation, and health education should be enhanced among vulnerable populations as essential measures for the future control of COVID-19. Study design: Systematic review. Method: The search was done using PubMed, EMBASE and Web of Science for studies without language restrictions, published up through March 2023, since their authoritative and comprehensive literature search database. Eighty articles were included. Extraction of articles and quality assessment of included reviews was performed independently by two authors using the AMSTAR 2 score. Results: The articles in the final data set included research on epidemiological characteristics, pathogenicity, available vaccines, treatments and epidemiological features in special populations including the elders, pregnant women, kids, people with chronic diseases concerning Omicron. Conclusion: Although less pathogenic potential is found in Omicron, highly mutated forms have enhanced the ability of immune evasion and resistance to existing vaccines compared with former variants. Severe complications and outcomes may occur in vulnerable populations. Infected pregnant women are more likely to give birth prematurely, and fatal implications in children infected with Omicron are hyperimmune response and severe neurological disorders. In immunocompromised patients, there is a greater reported mortality and complication compared to patients with normal immune systems. Therefore, maintain social distancing, wear masks, and receive vaccinations are effective long-term measures.
Language	English
Publishing date	2024-03-25
Publishing country	England
Document type	Journal Article ; Review
ISSN	2666-5352
ISSN (online)	2666-5352
DOI	10.1016/j.puhip.2024.100494
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Emerging concerns of blood-brain barrier dysfunction caused by neurotropic enteroviral infections.

Han, Shujie / Ji, Wangquan / Duan, Guangcai / Chen, Shuaiyin / Yang, Haiyan / Jin, Yuefei

Virology

2024 Volume 591, Page(s) 109989

Abstract: Enteroviruses (EVs), comprise a genus in the Picornaviridae family, which have been shown to be neurotropic and can cause various neurological disorders or long-term neurological condition, placing a huge burden on society and families. The blood-brain ... ...

Abstract	Enteroviruses (EVs), comprise a genus in the Picornaviridae family, which have been shown to be neurotropic and can cause various neurological disorders or long-term neurological condition, placing a huge burden on society and families. The blood-brain barrier (BBB) is a protective barrier that prevents dangerous substances from entering the central nervous system (CNS). Recently, numerous EVs have been demonstrated to have the ability to disrupt BBB, and further lead to severe neurological damage. However, the precise mechanisms of BBB disruption associated with these EVs remain largely unknown. In this Review, we focus on the molecular mechanisms of BBB dysfunction caused by EVs, emphasizing the invasiveness of enterovirus A71 (EVA71), which will provide a research direction for further treatment and prevention of CNS disorders.
MeSH term(s)	Humans ; Blood-Brain Barrier ; Enterovirus Infections ; Enterovirus/physiology ; Central Nervous System ; Biological Transport
Language	English
Publishing date	2024-01-06
Publishing country	United States
Document type	Journal Article ; Review
ZDB-ID	200425-2
ISSN	1096-0341 ; 0042-6822
ISSN (online)	1096-0341
ISSN	0042-6822
DOI	10.1016/j.virol.2024.109989
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Article ; Online: Effect of accurate assessment for uterine cavity environment on outcome of repeated transplantation failures

HAN Shujie / SHU Mingming / SONG Chunlan / CHEN Fu / WANG Lu

Di-san junyi daxue xuebao, Vol 44, Iss 6, Pp 582-

2022 Volume 588

Abstract: Objective To evaluate the impact of accurate detection of the uterine cavity environment on the outcome of assisted pregnancy in patients with repeated transplantation failures by detecting the uterine cavity micro-ecology and endometrial receptivity ... ...

Abstract	Objective To evaluate the impact of accurate detection of the uterine cavity environment on the outcome of assisted pregnancy in patients with repeated transplantation failures by detecting the uterine cavity micro-ecology and endometrial receptivity after using the results to guide transplantation. Methods A total of 223 patients with repeated transplantation failure who underwent in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) in the Assisted Reproductive Center of the Sixth Medical Center of Chinese PLA General Hospital from September 2019 to January 2021 were recruited as the research subjects. According to whether they received the uterine cavity micro-ecology and receptivity test, they were divided into experimental group A (n=70), experimental group B (n=80) and control group (n=73). Experimental group A only received uterine cavity micro-ecology test, and experimental group B received uterine cavity micro-ecology and endometrial receptivity test. These 2 groups adjusted the transplantation plan according to the results of tests. The control group had no intervention before the transplantation cycle and received conventional transplantation plan. The basic data of patients, embryo transfer status and pregnancy outcome were compared, and the relationship of uterine cavity microbes combined with endometrial receptivity test and adjustment of transplantation medication regimen with pregnancy outcome was analyzed in the patients with repeated transplantation failures. Results The 16SrRNA sequencing results showed that 58.57% (41/70) of patients with repeated transplantation failure had bacteria detected in the uterine cavity, and 81.43% (57/70) of patients were non-lactobacillus-dominated. With the comparison of basic data, the differences in the patient's age, body mass index (BMI), follicle-stimulating hormone (FSH), endometrial thickness on the day of transformation, and number of embryos transferred were not statistically different in the pairwise comparisons among groups A and B and ...
Keywords	uterine environment ; microorganisms ; lactobacillus ; endometrium receptivity ; repeated transplantation failure ; transplantation plan ; pregnancy outcome ; Medicine (General) ; R5-920
Subject code	610
Language	Chinese
Publishing date	2022-03-01T00:00:00Z
Publisher	Editorial Office of Journal of Third Military Medical University
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Multiview Monitoring of Individual Cattle Behavior Based on Action Recognition in Closed Barns Using Deep Learning

Fuentes, Alvaro / Han, Shujie / Nasir, Muhammad Fahad / Park, Jongbin / Yoon, Sook / Park, Dong Sun

Animals. 2023 June 17, v. 13, no. 12

2023

Abstract: Cattle behavior recognition is essential for monitoring their health and welfare. Existing techniques for behavior recognition in closed barns typically rely on direct observation to detect changes using wearable devices or surveillance cameras. While ... ...

Abstract	Cattle behavior recognition is essential for monitoring their health and welfare. Existing techniques for behavior recognition in closed barns typically rely on direct observation to detect changes using wearable devices or surveillance cameras. While promising progress has been made in this field, monitoring individual cattle, especially those with similar visual characteristics, remains challenging due to numerous factors such as occlusion, scale variations, and pose changes. Accurate and consistent individual identification over time is therefore essential to overcome these challenges. To address this issue, this paper introduces an approach for multiview monitoring of individual cattle behavior based on action recognition using video data. The proposed system takes an image sequence as input and utilizes a detector to identify hierarchical actions categorized as part and individual actions. These regions of interest are then inputted into a tracking and identification mechanism, enabling the system to continuously track each individual in the scene and assign them a unique identification number. By implementing this approach, cattle behavior is continuously monitored, and statistical analysis is conducted to assess changes in behavior in the time domain. The effectiveness of the proposed framework is demonstrated through quantitative and qualitative experimental results obtained from our Hanwoo cattle video database. Overall, this study tackles the challenges encountered in real farm indoor scenarios, capturing spatiotemporal information and enabling automatic recognition of cattle behavior for precision livestock farming.
Keywords	automatic detection ; cattle ; databases ; farms ; monitoring ; statistical analysis
Language	English
Dates of publication	2023-0617
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article ; Online
ZDB-ID	2606558-7
ISSN	2076-2615
ISSN	2076-2615
DOI	10.3390/ani13122020
Database	NAL-Catalogue (AGRICOLA)

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Article: Multiview Monitoring of Individual Cattle Behavior Based on Action Recognition in Closed Barns Using Deep Learning.

Fuentes, Alvaro / Han, Shujie / Nasir, Muhammad Fahad / Park, Jongbin / Yoon, Sook / Park, Dong Sun

Animals : an open access journal from MDPI

2023 Volume 13, Issue 12

Abstract	Cattle behavior recognition is essential for monitoring their health and welfare. Existing techniques for behavior recognition in closed barns typically rely on direct observation to detect changes using wearable devices or surveillance cameras. While promising progress has been made in this field, monitoring individual cattle, especially those with similar visual characteristics, remains challenging due to numerous factors such as occlusion, scale variations, and pose changes. Accurate and consistent individual identification over time is therefore essential to overcome these challenges. To address this issue, this paper introduces an approach for multiview monitoring of individual cattle behavior based on action recognition using video data. The proposed system takes an image sequence as input and utilizes a detector to identify hierarchical actions categorized as part and individual actions. These regions of interest are then inputted into a tracking and identification mechanism, enabling the system to continuously track each individual in the scene and assign them a unique identification number. By implementing this approach, cattle behavior is continuously monitored, and statistical analysis is conducted to assess changes in behavior in the time domain. The effectiveness of the proposed framework is demonstrated through quantitative and qualitative experimental results obtained from our Hanwoo cattle video database. Overall, this study tackles the challenges encountered in real farm indoor scenarios, capturing spatiotemporal information and enabling automatic recognition of cattle behavior for precision livestock farming.
Language	English
Publishing date	2023-06-17
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2606558-7
ISSN	2076-2615
ISSN	2076-2615
DOI	10.3390/ani13122020
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Article: Arising Concerns of Atypical Manifestations in Patients with Hand, Foot, and Mouth Disease.

Chen, Yu / Dai, Bowen / Han, Shujie / Duan, Guangcai / Yang, Haiyan / Chen, Shuaiyin / Ji, Wangquan / Jin, Yuefei

Vaccines

2023 Volume 11, Issue 2

Abstract: Hand, foot, and mouth disease (HFMD) is a mild exanthematous, febrile disease, but it also remains a threat to global public health. HFMD is characterized by a brief febrile illness in children and with a typical skin rash of the hand and foot, with or ... ...

Abstract	Hand, foot, and mouth disease (HFMD) is a mild exanthematous, febrile disease, but it also remains a threat to global public health. HFMD is characterized by a brief febrile illness in children and with a typical skin rash of the hand and foot, with or without mouth ulcers. However, the morphology and distribution of vesicles, as well as accompanying symptoms, are varied among atypical HFMD. An upsurge in atypical presentations of HFMD caused by
Language	English
Publishing date	2023-02-10
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	2703319-3
ISSN	2076-393X
ISSN	2076-393X
DOI	10.3390/vaccines11020405
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Article: Improving Known-Unknown Cattle's Face Recognition for Smart Livestock Farm Management.

Meng, Yao / Yoon, Sook / Han, Shujie / Fuentes, Alvaro / Park, Jongbin / Jeong, Yongchae / Park, Dong Sun

Animals : an open access journal from MDPI

2023 Volume 13, Issue 22

Abstract: Accurate identification of individual cattle is of paramount importance in precision livestock farming, enabling the monitoring of cattle behavior, disease prevention, and enhanced animal welfare. Unlike human faces, the faces of most Hanwoo cattle, a ... ...

Abstract	Accurate identification of individual cattle is of paramount importance in precision livestock farming, enabling the monitoring of cattle behavior, disease prevention, and enhanced animal welfare. Unlike human faces, the faces of most Hanwoo cattle, a native breed of Korea, exhibit significant similarities and have the same body color, posing a substantial challenge in accurately distinguishing between individual cattle. In this study, we sought to extend the closed-set scope (only including identifying known individuals) to a more-adaptable open-set recognition scenario (identifying both known and unknown individuals) termed Cattle's Face Open-Set Recognition (CFOSR). By integrating open-set techniques to enhance the closed-set accuracy, the proposed method simultaneously addresses the open-set scenario. In CFOSR, the objective is to develop a trained model capable of accurately identifying known individuals, while effectively handling unknown or novel individuals, even in cases where the model has been trained solely on known individuals. To address this challenge, we propose a novel approach that integrates Adversarial Reciprocal Points Learning (ARPL), a state-of-the-art open-set recognition method, with the effectiveness of Additive Margin Softmax loss (AM-Softmax). ARPL was leveraged to mitigate the overlap between spaces of known and unknown or unregistered cattle. At the same time, AM-Softmax was chosen over the conventional Cross-Entropy loss (CE) to classify known individuals. The empirical results obtained from a real-world dataset demonstrated the effectiveness of the ARPL and AM-Softmax techniques in achieving both intra-class compactness and inter-class separability. Notably, the results of the open-set recognition and closed-set recognition validated the superior performance of our proposed method compared to existing algorithms. To be more precise, our method achieved an AUROC of 91.84 and an OSCR of 87.85 in the context of open-set recognition on a complex dataset. Simultaneously, it demonstrated an accuracy of 94.46 for closed-set recognition. We believe that our study provides a novel vision to improve the classification accuracy of the closed set. Simultaneously, it holds the potential to significantly contribute to herd monitoring and inventory management, especially in scenarios involving the presence of unknown or novel cattle.
Language	English
Publishing date	2023-11-20
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2606558-7
ISSN	2076-2615
ISSN	2076-2615
DOI	10.3390/ani13223588
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Current status of hand-foot-and-mouth disease.

Zhu, Peiyu / Ji, Wangquan / Li, Dong / Li, Zijie / Chen, Yu / Dai, Bowen / Han, Shujie / Chen, Shuaiyin / Jin, Yuefei / Duan, Guangcai

Journal of biomedical science

2023 Volume 30, Issue 1, Page(s) 15

Abstract: Hand-foot-and-mouth disease (HFMD) is a viral illness commonly seen in young children under 5 years of age, characterized by typical manifestations such as oral herpes and rashes on the hands and feet. These symptoms typically resolve spontaneously ... ...

Abstract	Hand-foot-and-mouth disease (HFMD) is a viral illness commonly seen in young children under 5 years of age, characterized by typical manifestations such as oral herpes and rashes on the hands and feet. These symptoms typically resolve spontaneously within a few days without complications. Over the past two decades, our understanding of HFMD has greatly improved and it has received significant attention. A variety of research studies, including epidemiological, animal, and in vitro studies, suggest that the disease may be associated with potentially fatal neurological complications. These findings reveal clinical, epidemiological, pathological, and etiological characteristics that are quite different from initial understandings of the illness. It is important to note that HFMD has been linked to severe cardiopulmonary complications, as well as severe neurological sequelae that can be observed during follow-up. At present, there is no specific pharmaceutical intervention for HFMD. An inactivated Enterovirus A71 (EV-A71) vaccine that has been approved by the China Food and Drug Administration (CFDA) has been shown to provide a high level of protection against EV-A71-related HFMD. However, the simultaneous circulation of multiple pathogens and the evolution of the molecular epidemiology of infectious agents make interventions based solely on a single agent comparatively inadequate. Enteroviruses are highly contagious and have a predilection for the nervous system, particularly in child populations, which contributes to the ongoing outbreak. Given the substantial impact of HFMD around the world, this Review synthesizes the current knowledge of the virology, epidemiology, pathogenesis, therapy, sequelae, and vaccine development of HFMD to improve clinical practices and public health efforts.
MeSH term(s)	Animals ; Foot-and-Mouth Disease/complications ; Foot-and-Mouth Disease/epidemiology ; Hand, Foot and Mouth Disease/epidemiology ; Enterovirus ; Enterovirus Infections ; Disease Outbreaks ; China/epidemiology ; Enterovirus A, Human
Language	English
Publishing date	2023-02-24
Publishing country	England
Document type	Journal Article ; Review
ZDB-ID	1193378-1
ISSN	1423-0127 ; 1021-7770
ISSN (online)	1423-0127
ISSN	1021-7770
DOI	10.1186/s12929-023-00908-4
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Zs.A 4037: Show issues

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Article ; Online: Nomogram-based risk assessment model for left ventricular hypertrophy in patients with essential hypertension: Incorporating clinical characteristics and biomarkers.

Wang, Chuang-Chang / Liang, Li-Keng / Luo, Sheng-Ming / Wang, Hui-Cheng / Wang, Xiao-Li / Cheng, Ya-Hui / Pan, Guang-Ming / Peng, Jiang-Yang / Han, Shu-Jie / Wang, Xia

Journal of clinical hypertension (Greenwich, Conn.)

2024 Volume 26, Issue 4, Page(s) 363–373

Abstract: Left ventricular hypertrophy (LVH) is a hypertensive heart disease that significantly escalates the risk of clinical cardiovascular events. Its etiology potentially incorporates various clinical attributes such as gender, age, and renal function. From ... ...

Abstract	Left ventricular hypertrophy (LVH) is a hypertensive heart disease that significantly escalates the risk of clinical cardiovascular events. Its etiology potentially incorporates various clinical attributes such as gender, age, and renal function. From mechanistic perspective, the remodeling process of LVH can trigger increment in certain biomarkers, notably sST2 and NT-proBNP. This multicenter, retrospective study aimed to construct an LVH risk assessment model and identify the risk factors. A total of 417 patients with essential hypertension (EH), including 214 males and 203 females aged 31-80 years, were enrolled in this study; of these, 161 (38.6%) were diagnosed with LVH. Based on variables demonstrating significant disparities between the LVH and Non-LVH groups, three multivariate stepwise logistic regression models were constructed for risk assessment: the "Clinical characteristics" model, the "Biomarkers" model (each based on their respective variables), and the "Clinical characteristics + Biomarkers" model, which amalgamated both sets of variables. The results revealed that the "Clinical characteristics + Biomarkers" model surpassed the baseline models in performance (AUC values of the "Clinical characteristics + Biomarkers" model, the "Biomarkers" model, and the "Clinical characteristics" model were .83, .75, and .74, respectively; P < .0001 for both comparisons). The optimized model suggested that being female (OR: 4.26, P <.001), being overweight (OR: 1.88, p = .02) or obese (OR: 2.36, p = .02), duration of hypertension (OR: 1.04, P = .04), grade III hypertension (OR: 2.12, P < .001), and sST2 (log-transformed, OR: 1.14, P < .001) were risk factors, while eGFR acted as a protective factor (OR: .98, P = .01). These findings suggest that the integration of clinical characteristics and biomarkers can enhance the performance of LVH risk assessment.
MeSH term(s)	Female ; Humans ; Male ; Biomarkers ; Essential Hypertension/complications ; Essential Hypertension/epidemiology ; Hypertension/complications ; Hypertension/diagnosis ; Hypertension/epidemiology ; Hypertrophy, Left Ventricular/diagnosis ; Hypertrophy, Left Ventricular/epidemiology ; Hypertrophy, Left Ventricular/etiology ; Nomograms ; Retrospective Studies ; Risk Assessment ; Adult ; Middle Aged ; Aged ; Aged, 80 and over
Chemical Substances	Biomarkers
Language	English
Publishing date	2024-03-02
Publishing country	United States
Document type	Multicenter Study ; Journal Article
ZDB-ID	2077222-1
ISSN	1751-7176 ; 1524-6175
ISSN (online)	1751-7176
ISSN	1524-6175
DOI	10.1111/jch.14786
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