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Article: The Efficacy of Prenatal Yoga on Labor Pain: A Systematic Review and Meta-analysis.

Zhang, Long / Wang, Shaoshuai

Alternative therapies in health and medicine

2023 Volume 29, Issue 5, Page(s) 121–125

Abstract: Objective: This study investigated the effects of prenatal yoga on labor pain.: Methods: A systematic review of articles on prenatal yoga for childbirth pain was conducted, and relevant pain score results data were collected for the meta-analysis. ... ...

Abstract	Objective: This study investigated the effects of prenatal yoga on labor pain. Methods: A systematic review of articles on prenatal yoga for childbirth pain was conducted, and relevant pain score results data were collected for the meta-analysis. The intervention group was treated with yoga movement, and the control group, with routine prenatal examination. All randomized controlled trials were included, but pregnancies with internal complications were excluded. Results: A total of 47 references were obtained from PubMed, Embase, the Cochrane database, and ClinicalTrials.gov. After applying the exclusion criteria, five studies were included for the review and meta-analysis. A total of 581 women were enrolled. The SMD value summarized for the four studies was -1.05, and the 95% confidence interval was -1.45 to -0.65, which was statistically significant (z = 5.15; P < .01), suggesting that yoga can significantly reduce labor pain. Conclusions: Prenatal yoga can relieve labor pain and is recommended for pregnant women.
MeSH term(s)	Female ; Pregnancy ; Humans ; Yoga ; Labor Pain/therapy ; Meditation
Language	English
Publishing date	2023-06-30
Publishing country	United States
Document type	Meta-Analysis ; Systematic Review ; Journal Article
ZDB-ID	1225073-9
ISSN	1078-6791
ISSN	1078-6791
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Explaining the temperature-induced shift of the V-O charge transfer band experimentally and design of single-excitation ratiometric optical thermometry.

Zhou, Shaoshuai / Wang, Wei

Optics letters

2022 Volume 47, Issue 19, Page(s) 4929–4932

Abstract: Temperature-induced redshift of the V-O charge transfer band (CTB) is promising for designing high performance optical thermometry. The shift mechanism is considered as the thermal populations of high vibrational energy levels of the ... ...

Abstract	Temperature-induced redshift of the V-O charge transfer band (CTB) is promising for designing high performance optical thermometry. The shift mechanism is considered as the thermal populations of high vibrational energy levels of the VO
MeSH term(s)	Temperature ; Thermometry
Language	English
Publishing date	2022-09-30
Publishing country	United States
Document type	Journal Article
ISSN	1539-4794
ISSN (online)	1539-4794
DOI	10.1364/OL.473944
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Article: Graphene-Based Tunable Dual-Frequency Terahertz Sensor.

Fu, Maixia / Ye, Yuchao / Niu, Yingying / Guo, Shaoshuai / Wang, Zhaoying / Liu, Xueying

Nanomaterials (Basel, Switzerland)

2024 Volume 14, Issue 4

Abstract: A tunable dual-band terahertz sensor based on graphene is proposed. The sensor consists of a metal bottom layer, a middle dielectric layer, and single-layer graphene patterned with four strips on the top. The numerical simulations results show that the ... ...

Abstract	A tunable dual-band terahertz sensor based on graphene is proposed. The sensor consists of a metal bottom layer, a middle dielectric layer, and single-layer graphene patterned with four strips on the top. The numerical simulations results show that the proposed sensor exhibits two significant absorption peaks at 2.58 THz and 6.07 THz. The corresponding absorption rates are as high as nearly 100% and 98%, respectively. The corresponding quality factor (Q) value is 11.8 at 2.58 THz and 29.6 at 6.07 THz. By adjusting the external electric field or chemical doping of graphene, the positions of the dual-frequency resonance peak can be dynamically tuned. The excitation of plasma resonance in graphene can illustrate the mechanism of the sensor. To verify the practical application of the device, the terahertz response of different kinds and different thicknesses of the analyte is investigated and analyzed. A phenomenon of obvious frequency shifts of the two resonance peaks can be observed. Therefore, the proposed sensor has great potential applications in terahertz fields, such as material characterization, medical diagnosis, and environmental monitoring.
Language	English
Publishing date	2024-02-18
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2662255-5
ISSN	2079-4991
ISSN	2079-4991
DOI	10.3390/nano14040378
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Article: Molecular Identification and Characterization of Novel Taxonomic Subgroups and New Host Plants in 16SrI and 16SrII Group Phytoplasmas and Their Evolutionary Diversity on Hainan Island, China.

Che, Haiyan / Yu, Shaoshuai / Chen, Wang / Zheng, Wenhu / Cao, Xueren / Luo, Daquan

Plant disease

2024

Abstract: Phytoplasmas are a group of plant prokaryotic pathogens distributed worldwide. To comprehensively reveal the diversity of the pathogens and the diseases they cause on Hainan, a tropical island with abundant biodiversity in China, a survey of phytoplasmal ...

Abstract	Phytoplasmas are a group of plant prokaryotic pathogens distributed worldwide. To comprehensively reveal the diversity of the pathogens and the diseases they cause on Hainan, a tropical island with abundant biodiversity in China, a survey of phytoplasmal diseases was performed from 2009 to 2022. Herein, molecular identification and genetic analysis were conducted based on the conserved genes of phytoplasmas. The results indicated that phytoplasmas could be detected in 138 samples from 18 host plants among 215 samples suspected to be infected by the pathogens. The phytoplasma strains from 27 diseased samples of 4 host plants belonged to the 16SrI group and the strains from 111 samples of 14 hosts belonged to the 16SrII group. Among them, 12 plants, including important tropical cash crops such as Phoenix dactylifera, cassava, sugarcane, and Piper nigrum, were first identified as hosts of phytoplasmas on Hainan Island. Based on BLAST and iPhyClassifier analyses, seven novel 16Sr subgroups were proposed to describe the relevant phytoplasma strains, comprising the 16SrI-AP, 16SrI-AQ, and 16SrI-AR subgroups within the 16SrI group and the 16SrII-Y, 16SrII-Z, 16SrII-AB, and 16SrII-AC subgroups within the 16SrII group. Genetic variation and phylogenetic analysis indicated that the phytoplasma strains identified in this study and those reported previously on Hainan Island mainly belong to 4 16Sr groups (including I, II, V, and XXXII) and could infect 44 host plants, among which the 16SrI and 16SrII groups were the prevalent 16Sr groups associated with 43 host plant species. The diversity of host plants infected by the phytoplasmas made it difficult to monitor and control their related diseases. Therefore, strengthening inspection and quarantine during the introduction and transit of the related phytoplasmal host crops would effectively curb the spread and prevalence of the phytoplasmas and their related lethal diseases.
Language	English
Publishing date	2024-01-04
Publishing country	United States
Document type	Journal Article
ZDB-ID	754182-x
ISSN	0191-2917
ISSN	0191-2917
DOI	10.1094/PDIS-12-23-2682-RE
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Article ; Online: Marine-Fungus-Derived Natural Compound 4-Hydroxyphenylacetic Acid Induces Autophagy to Exert Antithrombotic Effects in Zebrafish.

Xin, Shaoshuai / Zhang, Mengqi / Li, Peihai / Wang, Lizhen / Zhang, Xuanming / Zhang, Shanshan / Mu, Zhenqiang / Lin, Houwen / Li, Xiaobin / Liu, Kechun

Marine drugs

2024 Volume 22, Issue 4

Abstract: Marine natural products are important sources of novel drugs. In this study, we isolated 4-hydroxyphenylacetic acid (HPA) from the marine-derived ... ...

Abstract	Marine natural products are important sources of novel drugs. In this study, we isolated 4-hydroxyphenylacetic acid (HPA) from the marine-derived fungus
MeSH term(s)	Animals ; Zebrafish ; Phenylacetates/pharmacology ; Autophagy/drug effects ; Fibrinolytic Agents/pharmacology ; Signal Transduction/drug effects ; Biological Products/pharmacology ; Thrombosis/drug therapy ; Disease Models, Animal ; Aquatic Organisms
Chemical Substances	Phenylacetates ; 4-hydroxyphenylacetic acid (3J9SHG0RCN) ; Fibrinolytic Agents ; Biological Products
Language	English
Publishing date	2024-03-27
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2175190-0
ISSN	1660-3397 ; 1660-3397
ISSN (online)	1660-3397
ISSN	1660-3397
DOI	10.3390/md22040148
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Article ; Online: Polydopamine-Modified MXene-Integrated Poly(

Wang, Xinyi / Xue, Pan / Ma, Shaoshuai / Gong, Yanan / Xu, Xinhua

ACS applied materials & interfaces

2023 Volume 15, Issue 42, Page(s) 49689–49700

Abstract: In nature, living organisms, such as octopuses, cabrito, and frogs, have already evolved admirable adhesive abilities for better movement and predation in response to the surroundings. Inspired by biological structures, researchers have made enormous ... ...

Abstract	In nature, living organisms, such as octopuses, cabrito, and frogs, have already evolved admirable adhesive abilities for better movement and predation in response to the surroundings. Inspired by biological structures, researchers have made enormous efforts in developing actuators that can respond to external stimuli, while such adhesive property is very desired, yet there is still limited research in responsive hydrogel actuators. Here, a bilayer actuator with high stretchability and robust interface bonding is presented, which has a smart adhesion and thermoreception function. The system consists of an adhesive passive layer copolymerized of amphoteric ([2-(methacryloyloxy) ethyl] dimethyl-(3-sulfopropyl), SBMA) and acrylic acid (AA), and an active layer hydrogel composed of poly(
Language	English
Publishing date	2023-10-12
Publishing country	United States
Document type	Journal Article
ISSN	1944-8252
ISSN (online)	1944-8252
DOI	10.1021/acsami.3c12203
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Article ; Online: ST3D++: Denoised Self-Training for Unsupervised Domain Adaptation on 3D Object Detection.

Yang, Jihan / Shi, Shaoshuai / Wang, Zhe / Li, Hongsheng / Qi, Xiaojuan

IEEE transactions on pattern analysis and machine intelligence

2023 Volume 45, Issue 5, Page(s) 6354–6371

Abstract: In this paper, we present a self-training method, named ST3D++, with a holistic pseudo label denoising pipeline for unsupervised domain adaptation on 3D object detection. ST3D++ aims at reducing noise in pseudo label generation as well as alleviating the ...

Abstract	In this paper, we present a self-training method, named ST3D++, with a holistic pseudo label denoising pipeline for unsupervised domain adaptation on 3D object detection. ST3D++ aims at reducing noise in pseudo label generation as well as alleviating the negative impacts of noisy pseudo labels on model training. First, ST3D++ pre-trains the 3D object detector on the labeled source domain with random object scaling (ROS) which is designed to reduce target domain pseudo label noise arising from object scale bias of the source domain. Then, the detector is progressively improved through alternating between generating pseudo labels and training the object detector with pseudo-labeled target domain data. Here, we equip the pseudo label generation process with a hybrid quality-aware triplet memory to improve the quality and stability of generated pseudo labels. Meanwhile, in the model training stage, we propose a source data assisted training strategy and a curriculum data augmentation policy to effectively rectify noisy gradient directions and avoid model over-fitting to noisy pseudo labeled data. These specific designs enable the detector to be trained on meticulously refined pseudo labeled target data with denoised training signals, and thus effectively facilitate adapting an object detector to a target domain without requiring annotations. Finally, our method is assessed on four 3D benchmark datasets (i.e., Waymo, KITTI, Lyft, and nuScenes) for three common categories (i.e., car, pedestrian and bicycle). ST3D++ achieves state-of-the-art performance on all evaluated settings, outperforming the corresponding baseline by a large margin (e.g., 9.6% ∼ 38.16% on Waymo → KITTI in terms of AP[Formula: see text]), and even surpasses the fully supervised oracle results on the KITTI 3D object detection benchmark with target prior. Code is available at https://github.com/CVMI-Lab/ST3D.
Language	English
Publishing date	2023-04-03
Publishing country	United States
Document type	Journal Article
ISSN	1939-3539
ISSN (online)	1939-3539
DOI	10.1109/TPAMI.2022.3216606
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Ge modified by metal–organic segments as anodes for Ge-air batteries with an alkaline gel polymer electrolyte

Yuhang Zhang / Shaoshuai Gao / Tingyu Zhao / Danshuo Chen / Rongli Wang / Yingjian Yu

Arabian Journal of Chemistry, Vol 16, Iss 8, Pp 105021- (2023)

2023

Abstract: The advantages of Ge-air batteries compared with metal-air batteries are their high anode utilization and ideal safety. To further enhance the discharge performance of Ge-air batteries, we report for the first time the successful synthesis of metal– ... ...

Abstract	The advantages of Ge-air batteries compared with metal-air batteries are their high anode utilization and ideal safety. To further enhance the discharge performance of Ge-air batteries, we report for the first time the successful synthesis of metal–organic segments (MOSs) material on the surface of germanium wafers by solution growth methods and demonstrate their performance in a button-type Ge-air battery with an alkaline gel polymer electrolyte. The morphology of MOSs can be controlled by adjusting the solution concentration and reaction time, and the discharge time of the battery would be elevated to about 350 h with prolonged reaction time. Our experimental findings prove that applying this MOSs material at the anode can significantly improve the discharge duration of Ge-air batteries. This paper also provides a strategy for anode modification to ameliorate the performance of Ge-air batteries.
Keywords	Ge-air batteries ; Discharging behaviors ; Anode modification ; Metal–organic segments ; Alkaline gel polymer electrolyte ; Chemistry ; QD1-999
Subject code	600
Language	English
Publishing date	2023-08-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A Compact-Sized Fully Self-Powered Wireless Flowmeter Based on Triboelectric Discharge.

Wan, Dong / Xia, Xin / Wang, Haoyu / He, Shaoshuai / Dong, Jiadan / Dai, Jinhong / Guan, Dong / Zheng, Junyu / Yang, Xiya / Zi, Yunlong

Small methods

2024 , Page(s) e2301670

Abstract: Flow sensing exhibits significant potential for monitoring, controlling, and optimizing processes in industries, resource management, and environmental protection. However, achieving wireless real-time and omnidirectional sensing of gas/liquid flow on a ... ...

Abstract	Flow sensing exhibits significant potential for monitoring, controlling, and optimizing processes in industries, resource management, and environmental protection. However, achieving wireless real-time and omnidirectional sensing of gas/liquid flow on a simple, self-contained device without external power support has remained a formidable challenge. In this study, a compact-sized, fully self-powered wireless sensing flowmeter (CSWF) is introduced with a small size diameter of down to less than 50 mm, which can transmit real-time and omnidirectional wireless signals, as driven by a rotating triboelectric nanogenerator (R-TENG). The R-TENG triggers the breakdown discharge of a gas discharge tube (GDT), which enables flow rate wireless sensing through emitted electromagnetic waves. Importantly, the performance of the CSWF is not affected by the R-TENG's varied output, while the transmission distance is greater than 10 m. Real-time wireless remote monitoring of wind speed and water flow rate is successfully demonstrated. This research introduces an approach to achieve a wireless, self-powered environmental monitoring system with a diverse range of potential applications, including prolonged meteorological observations, marine environment monitoring, early warning systems for natural disasters, and remote ecosystem monitoring.
Language	English
Publishing date	2024-04-18
Publishing country	Germany
Document type	Journal Article
ISSN	2366-9608
ISSN (online)	2366-9608
DOI	10.1002/smtd.202301670
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Article: Nomogram to Predict Cognitive Impairment in Patients with Asymptomatic Middle Cerebral Artery Stenosis.

Li, Jiayang / Wang, Shaoshuai / Li, Jun / Fang, Yalan / Wang, Ying / Zhang, Yuanyuan

International journal of general medicine

2023 Volume 16, Page(s) 1333–1343

Abstract: Purpose: This study aims to investigate the characteristics and influencing factors of cognitive impairment in patients with asymptomatic middle cerebral artery stenosis (aMCAS) and to construct a nomogram to predict the risk of cognitive impairment in ... ...

Abstract	Purpose: This study aims to investigate the characteristics and influencing factors of cognitive impairment in patients with asymptomatic middle cerebral artery stenosis (aMCAS) and to construct a nomogram to predict the risk of cognitive impairment in patients with aMCAS. Patients and methods: We collected 54 patients with aMCAS and 35 healthy controls to investigate the impaired cognitive domains and pathogenesis in patients with aMCAS. All patients underwent a cranial MRI, CT perfusion, transcranial Doppler ultrasound, blood tests, and a comprehensive neuropsychological evaluation. According to the MoCA score, patients were divided into cognitively normal and cognitively impaired groups. To construct the nomogram, we conducted univariate and multivariate logistic regression analyses to identify factors that affect cognitive function. And the performance of nomogram was evaluated by ROC curves, calibration curves, decision curve analysis (DCA), and clinical impact curve (CIC). Results: In 54 patients with aMCAS, 24 patients presented with cognitive normal, and 30 patients presented with cognitive impairment. The results of multivariate logistic regression suggested that perfusion decompensation, middle cerebral artery mean flow velocity, and LDL-cholesterol levels were independent influencing factors of cognitive impairment. In the following step, a nomogram was constructed. The AUC of the nomogram is 0.862. Calibrating curves show good agreement between nomogram predictions and actual observations, while DCA and CIC show great clinical usefulness. Conclusion: Patients with aMCAS have cognitive impairment in multiple cognitive domains, and impaired executive function was observed during the perfusion compensation period. Furthermore, a nomogram was constructed and validated to predict the risk of cognitive impairment in patients with aMCAS, which can help clinicians to identify at an early stage and improve the management of patients.
Language	English
Publishing date	2023-04-15
Publishing country	New Zealand
Document type	Journal Article
ZDB-ID	2452220-X
ISSN	1178-7074
ISSN	1178-7074
DOI	10.2147/IJGM.S407728
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