Publications by authors named "Ji Hui"

Triple-negative breast cancer (TNBC), defined by the lack of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor 2 (HER2) expression, is acknowledged as the most aggressive form of breast cancer (BC), comprising 15%-20% of all primary cases. Despite the prevalence of TNBC, effective and well-tolerated targeted therapies remain limited, with chemotherapy continuing to be the mainstay of treatment. However, the horizon is brightened by recent advancements in immunotherapy and antibody-drug conjugates (ADCs), which have garnered the U.

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Objective: This study aimed to evaluate research hotspots and trends in the field of periodontitis and drug delivery systems from the perspective of bibliometrics.

Methods: Publications related to periodontitis and drug delivery systems between 2001 and 2023 were retrieved from the Web of Science Core Collection database. Bibliometric analysis was conducted using VOSviewer, CiteSpace, and the R package "bibliometrix.

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Article Synopsis
  • Autophagy in macrophages plays a crucial role in managing inflammation during Streptococcus suis infections, impacting both humans and pigs.
  • The study explores how autophagy influences inflammatory responses in mouse microglial cells (BV2) by examining key signaling pathways like AMPK/mTOR and NF-κB/MAPK.
  • Results indicate that autophagy helps reduce inflammation by inhibiting NF-κB and MAPK pathways, which lowers levels of pro-inflammatory factors such as CCL2, CCL3, CCL5, and TNF-α during S. suis infection.
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Article Synopsis
  • * The study tested anisodine hydrobromide on healthy male mice with induced middle cerebral artery occlusion, assessing its impact on neural growth and recovery using various staining techniques.
  • * Results indicated that anisodine hydrobromide enhances nerve regeneration and synaptic formation, while the Notch signaling pathway plays a crucial role in its effects on neuroplasticity post-stroke.
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To evaluate whether the interval between oocyte retrieval and frozen-thawed embryo transfer (FET) affects clinical outcomes using modified natural cycle (mNC) regimen following freeze-all GnRH antagonist stimulation. A total of 542 patients underwent first mNC-FET were divided into two groups: immediate (FET conducted in the first menstrual cycle after freeze-all) and delayed (FET performed in the second or subsequent menstrual cycle) groups. The immediate group was associated with a notably reduced duration between oocyte retrieval and transfer day (35.

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Ethnopharmacological Relevance: Chikusetsusaponin IVa (CHS IVa) as a natural extract from the Panax japonicus (T.Nees) C.A.

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The isolation and concentration of electrical charges at ionic-electronic interfaces are prevalent phenomena that impede effective communication between ionic and electronic systems. Detecting these concentrated charges at the interface is crucial for applications, such as signal transmission and ion detection. Current electrical detection approaches introduce additional ionic-electronic interfaces via metallic electrodes with an external stimulating voltage, which alters the initial ion distributions at the interfaces.

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Segmentation is a critical step in analyzing the developing human fetal brain. There have been vast improvements in automatic segmentation methods in the past several years, and the Fetal Brain Tissue Annotation (FeTA) Challenge 2021 helped to establish an excellent standard of fetal brain segmentation. However, FeTA 2021 was a single center study, limiting real-world clinical applicability and acceptance.

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Background: It was reported that more than 96% of autism spectrum disorder (ASD) children are accompanied with different degrees of sensory processing abnormalities, and up to 50% of ASD children exhibit abnormal auditory response. Studies have confirmed that some ASD children's abnormal auditory response may be related to their abnormal auditory processing. Prior research demonstrated that ASD children's auditory processing has high heterogeneity, thus, ASD children's auditory processing may have different developmental trajectories.

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The increasingly intricate electromagnetic environment necessitates higher anti-electromagnetic interference capabilities for electronic devices, thereby demanding a flexible absorbing material that can adapt to multiple forms, is lightweight, and exhibits excellent electromagnetic wave (EMW) absorption properties. In this study, we have developed a novel flexible absorbing material (FAM) based on glass-coated amorphous magnetic fibers (SFs) and Dallenbach-like absorbing structures through wet forming technology. By combining high-performance absorbing fiber with textile structures, the FAM demonstrates EMW absorption performance along with lightweight flexibility and shape adaptability.

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Knowledge graphs (KG) are vital for extracting and storing knowledge from large datasets. Current research favors knowledge graph-based recommendation methods, but they often overlook the features learning of relations between entities and focus excessively on entity-level details. Moreover, they ignore a crucial fact: the aggregation process of entity and relation features in KG is complex, diverse, and imbalanced.

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This paper proposes an end-to-end deep learning approach for removing defocus blur from a single defocused image. Defocus blur is a common issue in digital photography that poses a challenge due to its spatially-varying and large blurring effect. The proposed approach addresses this challenge by employing a pixel-wise Gaussian kernel mixture (GKM) model to accurately yet compactly parameterize spatially-varying defocus point spread functions (PSFs), which is motivated by the isotropy in defocus PSFs.

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Nitrites (NO/HONO), as the primary source of hydroxyl radicals (OH) in the atmosphere, play a key role in atmospheric chemistry. However, the current understanding of the source of NO/HONO is insufficient and therefore hinders the accurate quantification of atmospheric oxidation capacity. Herein, we highlighted an overlooked HONO source by the reaction between nitrophenols (NPs) and OH in the aqueous phase and provided kinetic data to better evaluate the contribution of this process to atmospheric HONO.

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Linnaeus, 1753, the largest genus of woody plants in the Northern Hemisphere, includes some of the most significant species in horticulture. Hemsl, 1911, a member of subsection Triflora Sleumer 1947, exemplifies typical alpine species. The analysis of the complete chloroplast genome of offers new insights into the evolution of species and enhances the resolution of phylogenetic relationships.

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Objective: To evaluate the optimal endometrial preparation protocol for frozen-thawed embryo transfer (FET) following hysteroscopic polypectomy.

Methods: This was a retrospective clinical cohort study involving 464 patients who underwent their first FET after polyp resection between January 2021 and July 2023. The cohorts were categorized into three groups: the natural cycle (NC) group (n = 139), the ovarian induction (OI) group (n = 117), and the hormone replacement therapy (HRT) group (n = 208).

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A ketogenic diet (KD) is a high-fat, low-carbohydrate, and low-protein diet that exerts antiepileptic effects by attenuating spontaneous recurrent seizures, ameliorating learning and memory impairments, and modulating the gut microbiota composition. However, the role of the gut microbiome in the antiepileptic effects of a KD on temporal lobe epilepsy (TLE) induced by lithium-pilocarpine in adult rats is still unknown. Our study provides evidence demonstrating that a KD effectively mitigates seizure behavior and reduces acute-phase epileptic brain activity and that KD treatment alleviates hippocampal neuronal damage and improves cognitive impairment induced by TLE.

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The process of muscle growth directly affects the yield and quality of pork food products. Muscle fibers are created during the embryonic stage, grow following birth, and regenerate during adulthood; these are all considered to be phases of muscle development. A multilevel network of transcriptional, post-transcriptional, and pathway levels controls this process.

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Snapshot compressive hyperspectral imaging necessitates the reconstruction of a complete hyperspectral image from its compressive snapshot measurement, presenting a challenging inverse problem. This paper proposes an enhanced deep unrolling neural network, called EDUNet, to tackle this problem. The EDUNet is constructed via the deep unrolling of a proximal gradient descent algorithm and introduces two innovative modules for gradient-driven update and proximal mapping reflectivity.

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Cognitive impairment is one of the most common non-motor symptoms of Parkinson's disease (PD). Previous studies have demonstrated that low-intensity transcranial ultrasound stimulation can significantly suppress the motor symptoms of PD. However, whether ultrasound stimulation can improve cognitive ability in PD and the related neural oscillation mechanism remain unclear to date.

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Transcranial ultrasound stimulation (TUS) is a noninvasive brain neuromodulation technique. The application of TUS for Alzheimer's disease (AD) therapy has not been widely studied. In this study, a long-term course (28 days) of TUS was used to stimulate the hippocampus of APP/PS1 mice.

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Background: To investigate the therapeutic effect of decoction on acute liver injury. Further explored the mechanisms involved in the therapeutic properties of decoction by test several key proteins (TLR3, TRIF, TBK1, IRF3, IFNβ, IL-1 and IL-6) within the TLR3 signaling pathway.

Methods: The mouse acute liver injury model group was established by pretreatment with D-GalN and Poly (I:C) induction.

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Purpose: Selecting the optimal blastocyst to implant during cryopreservation and warming is critial for in vitro fertilization success. Therefore, the aim of this study was to explore which blastocyst should be prioritized to be thawed when facing a single vitrified blastocyst on day 5 transfer.

Methods: A retrospective study including 1,976 single vitrified-warmed blastocyst transfer cycles was conducted from January 2016 to December 2020.

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Image reconstruction from incomplete measurements is one basic task in imaging. While supervised deep learning has emerged as a powerful tool for image reconstruction in recent years, its applicability is limited by its prerequisite on a large number of latent images for model training. To extend the application of deep learning to the imaging tasks where acquisition of latent images is challenging, this article proposes an unsupervised deep learning method that trains a deep model for image reconstruction with the access limited to measurement data.

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Background: The present evidence is deficient for the trade-offs between the pros and cons of single blastocyst transfer (SBT) versus double blastocyst transfer (DBT) in frozen-thawed embryo transfer cycles for women in advanced reproductive age, especially in the second cycle. The current study aimed to investigate the impact of transferred blastocyst numbers on pregnancy outcomes in the first and second embryo transfer for women ≥ 35 years.

Methods: This was a retrospective cohort study including 1284 frozen-thawed blastocyst transfer (FBT) cycles from two reproductive centers.

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