Publications by authors named "CHEN H"

Using the e^{+}e^{-} collision data collected with the BESIII detector operating at the BEPCII collider, at center-of-mass energies from the threshold to 4.95 GeV, we present precise measurements of the cross section for the process e^{+}e^{-}→D_{s}^{+}D_{s}^{-} using a single-tag method. The resulting cross section line shape exhibits several new structures, thereby offering an input for a future coupled-channel analysis and model tests, which are critical to understand vector charmonium-like states with masses between 4 and 5 GeV.

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Z boson events at the Large Hadron Collider can be selected with high purity and are sensitive to a diverse range of QCD phenomena. As a result, these events are often used to probe the nature of the strong force, improve Monte Carlo event generators, and search for deviations from standard model predictions. All previous measurements of Z boson production characterize the event properties using a small number of observables and present the results as differential cross sections in predetermined bins.

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Umbilical cord-derived mesenchymal stromal/stem cells (UC-MSCs) present low immunogenicity and potent immunomodulatory effects for treating various diseases. Human UC-MSCs are a heterogeneous population consisting of three main subpopulations with different cell shapes, proliferation rates, differentiation abilities, and immune regulatory functions. Previously, BAMBIMFGE8 UC-MSCs, the first subgroup successfully isolated from UC-MSCs were found to fail to alleviate lupus nephritis.

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Nonunion is a significant complication in fracture management for surgeons. Salvianolic acid A (SAA), derived from the traditional Chinese plant Salviae miltiorrhizae Bunge (Danshen), exhibits notable anti-inflammatory and antioxidant properties. Although studies have demonstrated its ability to promote osteogenic differentiation, the exact mechanism of action remains unclear.

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The integrated modulation of radiation and scattering provides an unprecedented opportunity to reduce the number of electromagnetic (EM) apertures in the platform while simultaneously enhancing communication and stealth performance. Nevertheless, achieving full-polarization, arbitrary amplitude, and phase modulation of radiation scattering remains a challenge. In this paper, a strategy that realizes space-time coding of radiation scattering within the same frequency band, which enables the simultaneous and independent modulation of amplitude and phase, is proposed.

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Background: Prior studies have concentrated exclusively on how different prostate-specific antigen (PSA) levels affect the prognosis of high-grade prostate cancer (PCa), often overlooking the prognosis of low-grade PCa.

Methods: The present cohort study included individuals diagnosed with PCa from the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2021. The all-cause mortality (ACM) and prostate cancer-specific mortality (PCSM) for each treatment group was calculated stratified by the four PSA levels (≤ 4.

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A palladium-catalyzed Catellani-type [2+2+2] annulation reaction of aryl iodides, bromothiophenes, and norbornadiene, which proceeds via a tandem Heck coupling/double C-H bond activation and retro-Diels-Alder pathway to access thiophene-fused polyaromatics, is reported. The key feature of this protocol represents a NBD/NBE retaining annulation.

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Objective: This study aimed to uncover the patterns of Human papillomavirus (HPV) infection outcomes in women and assess the risk factors that may affect these outcomes.

Methods: A retrospective study was conducted on 608 women who tested positive for HPV-DNA during their initial visit to the outpatient department of Shenzhen Longgang Central Hospital from 2018 to 2023 and who had subsequent HPV-DNA testing as part of their post-visit monitoring. The monitoring intervals were every 6 months.

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Objective: The vicious circle model of obesity proposes that the hippocampus plays a crucial role in food reward processing and obesity. However, few studies focused on whether and how pediatric obesity influences the potential direction of information exchange between the hippocampus and key regions, as well as whether these alterations in neural interaction could predict future BMI and eating behaviors.

Methods: In this longitudinal study, a total of 39 children with excess weight (overweight/obesity) and 51 children with normal weight, aged 8 to 12, underwent resting-state fMRI.

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As the aging process accelerates and living conditions improve, central nervous system (CNS) diseases have become a major public health problem. Diseases of the CNS cause not only gray matter damage, which is primarily characterized by the loss of neurons, but also white matter damage. However, most previous studies have focused on grey matter injury (GMI), with fewer studies on white matter injury (WMI).

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Purpose: Colorectal cancer (CRC) is the second leading cause of cancer-related deaths worldwide. Oxaliplatin (OXA) is currently the primary chemotherapeutic agent for CRC, but its efficacy is limited by the tumor microenvironment (TME). Here, we present a combined approach of chemotherapy and TME modulation for CRC treatment.

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Background: Although more risk prediction models are available for feeding intolerance in enteral-nourishment patients, it is still unclear how well these models will work in clinical settings. Future research faces challenges in validating model accuracy across populations, enhancing interpretability for clinical use, and overcoming dataset limitations.

Objective: To thoroughly examine studies that have been published on feeding intolerance risk prediction models for enteral nutrition patients.

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The construction of dams to intercept natural rivers constitutes the most severe human activity influencing the underlying surface. This study focuses on four cascade reservoirs of the Lancang River and explores their impact on the migration of organic matter in sediments. The research reveals significant spatial variations in total organic carbon (TOC) and total nitrogen concentrations in the sediments of the four reservoirs.

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As an effective approach to overcome the electronic bottlenecks of conventional electrical radars, microwave photonic radars have demonstrated significant superiority in their perception and recognition capabilities. However, trade-offs exist among the reconfigurability, signal time-bandwidth product (TBWP), linearity, and phase coherence of current photonic radars, which ultimately weaken the overall performance. To address these challenges, a photonic transceiver based on electrically assisted synchronized lasers is proposed and demonstrated, which combines high resolution and multi-band reconfigurability.

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We demonstrate the generation of high-order, high-power vortex modes from a Hermite-Gaussian (HG) Yb:YAG thin-disk oscillator, with tunable mode orders ranging continuously from one to ten. To the best of our knowledge, this is the highest order of HG and vortex modes obtained using a thin-disk module. The output power for most of these modes reaches up to 10 W, setting a new benchmark for intracavity high-order HG mode generation.

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Visible-light integrated photonics serve applications inaccessible to conventional (C- and O-band) silicon photonics, including trapped-ion and neutral atom quantum experiments, biophotonics, and displays. Despite demonstrations of increasingly advanced functionalities and levels of integration, the development of low-power, monolithically integrated, visible-light switches and phase shifters remains an outstanding challenge. Here, we demonstrate an integrated photonic, electrostatic MEMS-actuated Mach-Zehnder interferometer optical switch for the visible spectrum.

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Designing invisibility devices for required frequency bands is important in anti-detection methods in various fields such as communications, construction, and others. However, traditional design methods are time-consuming, with manual adjustment of parameters and continuous trial and error. Fortunately, the data-driven approach based on deep learning has revolutionized the field.

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In this manuscript, a principle-driven fiber transmission model for short-distance transmission with parameterized inputs is put forward. By taking into account the previously proposed principle-driven fiber model as the basic solution solver, the reduced basis expansion method and transforming the parameterized inputs into parameterized coefficients of the Nonlinear Schrödinger Equations, universal solutions with respect to inputs corresponding to different bit rates can all be obtained without the need of re-training the whole model. Once adopted, this model can have prominent advantages in both computation efficiency and physical background.

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Laser ablation is a commonly employed technique to enhance the damage resistance of fused silica optics due to its non-contact nature and the absence of polishing aids. However, during the ablation process, laser-induced ripples are inevitably formed, posing significant risks by potentially lowering the laser-induced damage threshold (LIDT). This study investigates the impact of these laser-ablated ripples on damage resistance using numerical models that account for electromagnetic fields, heat transfer, and solid mechanics.

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The rapid growth of modern Internet applications demands ever-increasing transmission capacity and reduced latency in optical interconnect systems utilizing intensity modulation and direct detection (IM/DD). However, the intrinsic limitations of silica-based standard single-mode fiber (SMF) will ultimately be insufficient to meet these escalating demands. The nested antiresonant nodeless fiber (NANF), a newly designed hollow-core fiber, has garnered significant attention as a potential solution to these challenges.

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In our research, we constructed models of renal ischemia-reperfusion (I/R)-exposed acute kidney injury (AKI) and unilateral ureteral obstruction (UUO)-stimulated renal fibrosis (RF) in C57BL/6 mice and HK-2 cells. We firstly authenticated that oral pinocembrin (PIN) administration obviously mitigated tissue damage and renal dysfunction induced by I/R injury, and PIN attenuated UUO-caused RF, as confirmed by the reduced expression of fibrotic markers as well as hematoxylin-eosin (H&E), Sirius red, immunohistochemistry, and Masson staining. Meanwhile, the beneficial role of PIN was again demonstrated in HK-2 cells with hypoxia-reoxygenation (H/R) or transforming growth factor beta-1 (TGF-β1) treatment.

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Background: Hepatic glycogen storage diseases (GSD) are inborn errors of metabolism with abnormal storage or utilization of glycogen, a complex disease with significant genetic heterogeneity and similar clinical manifestations. This study aimed to describe the gastrointestinal symptoms and endoscopic features of hepatic GSD, including types Ia, Ib, III, VI, and IX, to provide evidence for etiology and treatment.

Methods: A national cohort survey questionnaire was distributed to patients diagnosed with GSD type Ia, Ib, III, VI, and IX through genetic testing or their parents in mainland China in May 2022.

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Background: The proportion of people living with HIV (PLHIV) in Guangxi who are men who have sex with men (MSM) increased rapidly to nearly 10% in 2023; notably, over 95% of this particular population is currently receiving antiretroviral therapy (ART). This study aimed to describe the survival of MSM PLHIV, depict the characteristics and trends of changes in CD4 T cell counts, CD4/CD8 T cell ratio, and viral load, and explore immunological indicators that may be related to mortality during different stages of treatment.

Methods: Immunological indicators of MSM PLHIV receiving ART were extracted and categorized into baseline, mid-treatment, and last values.

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Purpose: This epidemiological study leverages data from the Global Burden of Disease (GBD) database spanning from 1990 to 2021 to analyze the global burden of oral cancer. The research aims to provide a comprehensive assessment of the age-standardized incidence rate (ASIR), age-standardized mortality rate (ASDR), and disability-adjusted life years (DALYs) for oral cancer, examining trends over three decades.

Methods: The study used age standardized rate (ASRs) as an indicator of oral cancer epidemiological data.

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Deep learning models have shown promise in diagnosing neurodevelopmental disorders (NDD) like ASD and ADHD. However, many models either use graph neural networks (GNN) to construct single-level brain functional networks (BFNs) or employ spatial convolution filtering for local information extraction from rs-fMRI data, often neglecting high-order features crucial for NDD classification. We introduce a Multi-view High-order Network (MHNet) to capture hierarchical and high-order features from multi-view BFNs derived from rs-fMRI data for NDD prediction.

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