Publications by authors named "Beibei Zhou"

Background: Preeclampsia (PE) is a serious pregnancy complication associated with impaired trophoblast function. Integrin β3 (ITGB3) is a cell adhesion molecule that plays a role in cell movement. The objective of this study was to identify the biological function and expression level of ITGB3 in PE.

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The position that a woman adopts during breastfeeding is important for both infant and maternal health; however, many women experience musculoskeletal pain due to poor posture during breastfeeding, which is a known factor in low exclusive breastfeeding rates. Posture monitoring is an effective intervention, but existing wearable devices do not consider the ergonomics of nursing mothers and breastfeeding scenarios. In this study, nursing underwear was developed with posture monitoring and a real-time feedback system using accelerometers and flexible bending sensors targeting the neck and upper thoracic spine.

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  • Premature ovarian insufficiency (POI) affects approximately 3.7% of reproductive-age women and is a significant cause of infertility; the Bushen Huoxue formula (BHF) is a traditional Chinese treatment used for POI.
  • The study used corticosterone-induced rats and palmitic acid-stimulated human ovarian granulosa cells to explore how BHF works against POI, employing various analytical methods to measure hormone levels, cell proliferation, and lipid metabolism.
  • Results indicated that BHF normalized key hormone levels, reduced cell death, promoted ovarian cell proliferation, and improved lipid metabolism in the context of POI, suggesting its potential as an effective treatment.
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Toxoplasma gondii (T. gondii) is widely spread around the world, which can cause serious harm to immunosuppressed patients. Currently, the commercial test kits are poor at assessing T.

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  • Meniscal injuries often lead to knee pain and can be a precursor to osteoarthritis; this study seeks to enhance diagnosis using an automatic classification system for meniscal injuries based on MRI images.
  • Utilizing data from the Osteoarthritis Initiative, researchers developed a model called LGSA-UNet, which effectively segments and classifies different types of meniscus injuries with high accuracy and DICE coefficients.
  • The results showed that the deep learning models outperformed a junior radiologist in diagnosing meniscal injuries, indicating that AI could significantly improve diagnostic efficiency in this area.
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In this research, with an aim to develop novel pyrazole oxime ether derivatives possessing potential biological activity, thirty-two pyrazole oxime ethers, including a substituted pyridine ring, have been synthesized and structurally identified through H NMR, C NMR, and HRMS. Bioassay data indicated that most of these compounds owned strong insecticidal properties against , , , and at a dosage of 500 μg/mL, and some title compounds were active towards at 500 μg/mL. Furthermore, some of the designed compounds had potent insecticidal effects against , , or at 100 μg/mL, with the mortalities of compounds , , , , , , , , , , and against , in particular, all reaching 100%.

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  • Preeclampsia is classified into early-onset (EOPE) and late-onset (LOPE) based on the timing of delivery and is associated with abnormal lipid metabolism in pregnant women.
  • A study compared serum lipid profiles of normal pregnant women and those with EOPE or LOPE, utilizing advanced lipidomic analysis techniques to identify differences.
  • The findings indicated significant differences in lipid profiles, with specific lipids serving as potential biomarkers for diagnosing EOPE and LOPE, showing strong diagnostic accuracy in distinguishing both forms from normal controls.
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Acinetobacter baumannii, which is predominantly responsible for hospital-acquired infections, presents a tremendous clinical challenge due to its increasing antibiotic resistance to colistin (COL), a last-line antibiotic. As a result, the combination of antimicrobial and non-antimicrobial agents is emerging as a more popular treatment approach against infections caused by COL-resistant A. baumannii.

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Severe cadmium contamination poses a serious threat to food security and human health. Plant-microbial combined remediation represents a potential technique for reducing heavy metals in soil. The main objective of this study is to explore the remediation mechanism of cadmium-contaminated soil using a combined approach of lawn plants and microbes.

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  • Chronic infection with Toxoplasma gondii is linked to cognitive deficits and neuroinflammation in mice, affecting brain structures involved in memory.
  • The infection disrupts gut microbiota and impairs gut barrier integrity, leading to systemic inflammation, but using antibiotics can reduce cognitive damage caused by the parasite.
  • Lower levels of butyrate-producing bacteria and butyrate in both mice and humans infected with T. gondii suggest that gut health plays a significant role in cognitive decline, and dietary butyrate can help improve this condition.
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  • Climate change impacts crop production due to increased CO2 levels and temperatures, making sweet sorghum a viable option for sustainable bioenergy in arid regions.
  • The study compared Ye et al.'s models for photosynthesis and water use efficiency in sweet sorghum with the non-rectangular hyperbolic model, finding Ye's models to better fit the light response curves.
  • Higher temperatures improved some photosynthetic metrics but reduced water use efficiency, indicating that sweet sorghum's ability to thrive is limited by the balance between carbon assimilation and enhanced transpiration, and its response to elevated CO levels is complex.
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Background: To further clarify the acne profile of Chinese adult women, we included 1,156,703 adult women. An artificial intelligence algorithm was used to analyze images taken by high-resolution mobile phones to further explore acne levels in Chinese adult women.

Method: In this study, we assessed the severity of acne by evaluating patients' selfies through a smartphone application.

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Introduction: Phosphorus (P), which plays a vital role in plant growth, is continually added to soil to maximize biomass production, leading to excessive P accumulation and water eutrophication.

Results: In this study, a pot experiment using a subtropical tobacco-growing soil fertilized with four P levels-no P, low P, medium P, and high P-was conducted and rhizosphere and bulk soils were analyzed.

Results: P addition significantly increased tobacco biomass production (except under low P input) and total soil P and available P content (<0.

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In order to explore the effects of micro-nano bubble water (MNBW) on compost maturation and the microbial community in cow manure and straw during aerobic composting, we conducted composting tests using tap water with 12 mg/L (O12), 15 mg/L (O15), 18 mg/L (O18), and 21 mg/L (O21) dissolved oxygen in MNBW, as well as tap water with 9 mg/L dissolved oxygen as a control (CK). The results showed that O21 increased the maximum compost temperature to 64 °C, which was higher than the other treatments. All treatments met the harmless standards for compost.

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Endophytic fungi (Trichoderma harzianum (TH) and Paecilomyces lilacinus (PL)) showed potential in phytoremediation for soils contaminated with potentially toxic elements (PTEs (Cd and As)). However, their efficiency is limited, which can be enhanced with the assistance of biochar. This study sought to investigate the effects of TH at two application rates (T1: 4.

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  • Northwest China's arid regions face significant ecological challenges, including water shortages and low land quality, exacerbated by increased social and economic activity.
  • A remote sensing-based Ecological Environmental Index (EQI) model showed an overall decline in key environmental indicators from 2001 to 2020, while greenness improved, with the EQI averaging 0.315 in 2020.
  • Area improvements in EQI were mostly found in eastern Inner Mongolia, Qinghai, and parts of Xinjiang, with land use demonstrating a strong correlation with EQI scores, highlighting potential for better ecological monitoring and management.
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Salt stress is considered one of the primary threats to cotton production. Although cotton is found to have reasonable salt tolerance, it is sensitive to salt stress during the seedling stage. This research aimed to propose an effective method for rapidly detecting salt stress of cotton seedlings using multicolor fluorescence-multispectral reflectance imaging coupled with deep learning.

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Background: To better compare the progression of dark circles and the aging process in Chinese skin. A total of 100 589 Chinese males and 1 838 997 Chinese females aged 18 to 85, without facial skin conditions, and who had access to a smartphone with a high-resolution camera all took selfies.

Method: Using a smartphone application with a built-in artificial intelligence algorithm, facial skin diagnostic evaluated the selfies and score the severity of the dark circles with four other facial indicators (including skin type, Pores, Acne vulgaris, and Blackheads).

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Background: Declining beneficial cardiovascular actions of estradiol (E2) have been associated with disproportionate susceptibility to takotsubo syndrome (TTS) in postmenopausal women. However, the underlying mechanisms between E2 and this marked disproportion remain unclear. SmgGDS (small GTP-binding protein GDP dissociation stimulator), as a key modulator of cardiovascular disease, plays protective roles in reducing oxidative stress and exerts pleiotropic effects of statins.

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Purpose: This study evaluated the performance of multiparametric magnetic resonance imaging (MRI)-based fusion radiomics models (MMFRs) to predict telomerase reverse transcriptase (TERT) promoter mutation status and progression-free survival (PFS) in glioblastoma patients.

Methods: We retrospectively analysed 208 glioblastoma patients from two hospitals. Quantitative imaging features were extracted from each patient's T1-weighted, T1-weighted contrast-enhanced, and T2-weighted preoperative images.

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Introduction: We investigated the clinical efficacy and safety of blood purification technology in patients with polymyositis/dermatomyositis.

Methods: In a study of 22 patients, 10 cases received blood purification treatment (5 cases received plasma exchange, 5 cases received plasma HA280 immunoadsorption), and 12 cases served as the control group. A 3-month follow-up was conducted to compare the clinical manifestations and laboratory examination.

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  • Deep learning networks often need re-training for different datasets, which can be time-consuming due to the need for manual labeling and training.
  • Transfer learning allows for quick adaptation of pre-trained networks with minimal new data, but existing methods lack systematic approaches and control.
  • The proposed MTPI method optimizes conditions for transfer learning using pre-trained networks, notably showing that Res-Net 50 performed best in vegetation segmentation with high accuracy and efficiency, significantly reducing the data and iteration required.
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The aim of the current study was to investigate the feasibility of three-dimensional ultrashort echo time quantitative susceptibility mapping (3D UTE-QSM) for the assessment of gadolinium (Gd) deposition in cortical bone. To this end, 40 tibial bovine cortical bone specimens were divided into five groups then soaked in phosphate-buffered saline (PBS) solutions with five different Gd concentrations of 0, 0.4, 0.

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Phytoremediation is an environment-friendly method for toxic elements remediation. The aim of this study was to improve the phytoremediation efficiency of and the rhizosphere soil micro-ecology in cadmium (Cd) and arsenic (As) contaminated soil. A field experiment was conducted with six treatments, including a control treatment (CK), two treatments with two contents of (T1: 4.

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To evaluate the value of intra- and peritumoral deep learning (DL) features based on multi-parametric magnetic resonance imaging (MRI) for identifying telomerase reverse transcriptase (TERT) promoter mutation in glioblastoma (GBM). In this study, we included 229 patients with GBM who underwent preoperative MRI in two hospitals between November 2016 and September 2022. We used four 2D Convolutional Neural Networks (GoogLeNet, DenseNet121, VGG16, and MobileNetV3-Large) to extract intra- and peritumoral DL features.

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