Publications by authors named "Mimi Sun"

The rapid development of accurate and point-of-care diagnostic tools for foodborne diseases has made a massive impact in global health. Salmonella typhimurium (S. typhimurium) exemplifies an enteric pathogen, being a gram-negative bacteria responsible for several gastrointestinal and systemic illnesses.

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Background: The early detection and intervention of liver fibrosis (LF) in patients with chronic liver disease is critical to their management. The accuracy of serum Mac-2 binding protein glycosylation isomer (M2BPGi) in the diagnosis of LF remains controversial. This study aimed to comprehensively assess the value of serum M2BPGi in diagnosing LF.

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The advanced devices that function fully without the need for external accessories are regarded as a pinnacle goal in the design and construction of modern ones. Staphylococcus aureus (S. aureus), a prominent human pathogen, is responsible for causing a wide variety of infections and chronic diseases.

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Wearable sweat sensors hold great promise for the monitoring of athletic sweat biomarkers that are reflective of physical status and the inimitable feature of wearable sensors to conduct dynamic sweat analysis in situ. However, the preparative methods of wearable patches for monitoring athlete's biomarkers are often complicated. Here, we demonstrate the first example of "sports lab-on-skin" as a fully integrated epidermal sweat sensor through simple laser engraving and laser cutting methods, which enables on-body and wirelessly measuring sweat Na, sweat K, sweat lactate, and initial sweat rate for physical status assessment.

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A high performance liquid chromatography-ultraviolet-visible detector-electrospray ionization-ion trap-time-of-flight-mass spectrometry-total antioxidant capacity determination (HPLC-UVD-ESI-IT-TOF-MS-TACD) new online technique was developed for efficient screening of potential antioxidant active components in Prunus persica flowers (PPF) from 4 origins. Through this online system, 46 compounds were initially identified, while 20 compounds with DPPH binding activity and 21 compounds with FRAP binding activity were detected. The antioxidant activities of 9 compounds obtained from the screening were then validated in DNA oxidative damage protection study.

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Aims And Objectives: To evaluate the effectiveness of positive psychological interventions on quality of life, positive psychological outcomes and negative psychological outcomes in patients with cancer.

Background: Patients with cancer often suffer from various psychological problems and have a poor quality of life. Positive psychological interventions have been increasingly applied to patients with cancer, but the results of these studies have not been synthesized.

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Hepatic fibrosis (HF) is a pathological process of structural and functional impairment of the liver and is a key component in the progression of chronic liver disease. There are no specific anti-hepatic fibrosis (anti-HF) drugs, and HF can only be improved or prevented by alleviating the cause. Autophagy of hepatic stellate cells (HSCs) is closely related to the development of HF.

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Strawberry (Fragaria × ananassa) is a model plant for studying non-climacteric fruit ripening regulated by abscisic acid (ABA); however, the signaling of ABA in the regulation of fruit coloration is not fully understood. In this study, we identified the transcription factor BASIC HELIX-LOOP-HELIX 3 (bHLH3) as being key to fruit coloration via yeast two-hybrid library screening using the bait SUCROSE NONFERMENTING 1 (SNF1)-RELATED PROTEIN KINASE 2 (SnRK2.6), which is a core ABA signaling component that negatively regulates ripening.

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Objective: This study aimed to systematically review studies of meaning therapy on patients with cancer and to evaluate its effectiveness on spiritual outcomes, psychological outcomes, and quality of life (QOL).

Methods: A comprehensive literature search were performed in five international databases (PubMed, Embase, Web of Science, The Cochrane Library, and CINAHL) and four Chinese databases (CNKI, Wanfang Data, VIP, and CBM) from the inception to August 2023. The methodological quality of each included studies was evaluated by using the revised Cochrane risk-of-bias tool for randomized trials.

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Fully integrated devices that enable full functioning execution without or with minimum external accessories or equipment are deemed to be one of the most desirable and ultimate objectives for modern device design and construction. O157:H7 ( O157:H7) is often linked to outbreaks caused by contaminated water and food. However, the sensors that are currently used for point-of-care O157:H7 ( O157:H7) detection are often large and cumbersome.

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With the rapid evolution of sensing technologies, the integration of nanoscale catalysts, particularly those mimicking enzymatic functions, into electrochemical devices has surfaced as a pivotal advancement. These catalysts, dubbed artificial enzymes, embody a blend of heightened sensitivity, selectivity, and durability, laying the groundwork for innovative applications in real-time health monitoring and environmental detection. This minireview penetrates into the fundamental principles of electrochemical sensing, elucidating the unique attributes that establish artificial enzymes as foundational elements in this field.

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Effective wound healing is critical for patient care, and the development of novel wound dressing materials that promote healing, prevent infection, and are user-friendly is of great importance, particularly in the context of point-of-care testing (POCT). This study reports the synthesis of a hydrogel material that can be produced in less than 10 s and possesses antibacterial activity against both gram-negative and gram-positive microorganisms, as well as the ability to inhibit the growth of eukaryotic cells, such as yeast. The hydrogel is formed wholly based on covalent-like hydrogen bonding interactions and exhibits excellent mechanical properties, with the ability to stretch up to more than 600% of its initial length.

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Goals: The goal of this study was to use meta-analysis to compile information from various studies to investigate the existence and severity of cognitive impairment in elderly diabetes patients who have hypoglycemic episodes.

Materials And Techniques: For research studies on the relationship between hypoglycemia and cognitive decline or dementia in persons older than 45 years, we searched the PubMed, EMBASE, Cochrane Library, CNKI, WanFang, CBM and VIP databases for the period 1989 to 2022. We conducted random effects inverse variance on the meta-analysis and used the I statistic to assess heterogeneity.

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Chlorophyll (Chl)-mediated oxygenic photosynthesis sustains life on Earth. Greening leaves play fundamental roles in plant growth and crop yield, correlating with the idea that more Chls lead to better adaptation. However, they face significant challenges from various unfavorable environments.

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This study presents the first integrated electrochemical platform (IEP) with point-of-use and portable features for on-site determination of ponceau 4R (RP), amaranth (AM), and tartrazine (TZ) in food by integrating a mass-producible Pt nanoparticles/laser-engraved graphene (Pt NPs/LEG)-based sensing chip and a reusable electrochemical miniaturized workstation. The sensing chip utilizes Pt NPs/LEG with unique architectures as electrode material and exhibits desirable analytical performance towards RP, AM, or TZ with satisfied linear range (0.25-50 μM for RP, AM, and TZ), high sensitivity (7.

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Context: The Functional Assessment of Chronic Illness Therapy-Palliative Care (FACIT-Pal) has been widely used in assessing the quality of life (QOL) of patients with life-limiting illness. However, the Chinese version of the FACIT-Pal has not been psychometrically validated yet.

Objectives: The purpose of this study was to psychometrically validate the FACIT-Pal in Chinese patients with advanced cancer.

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Background: Shift work is inevitable for nurses in intensive care units. Various studies explored nurses' fatigue in multiple hospital wards. However, few studies focused on fatigue among nurses in intensive care units.

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In this study, the first ultra-high performance liquid chromatography-photo-diode array-electrospray ionization-quadrupole-time-of-flight-mass spectrometry-lipoxygenase-fluorescence detector (UPLC-PDA-ESI-Q-TOF-MS-LOX-FLD) online system was developed for the identification and evaluation of anti-inflammatory active ingredients in Polygala tenuifolia Willd. Using this system, the UPLC fingerprints, mass fragments and LOX-binding peak profiles in the samples were rapidly and simultaneously obtained. A total of 101 compounds were isolated and identified and 38 compounds (11 oligosaccharide esters, nine xanthones, 17 saponins, and one glycosyloxyflavone) showed strong LOX-binding activity.

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Fully integrated wearable sensors are capable of dynamically, directly, and independently tracking biomarkers in raw noninvasive biofluids without any other equipment or accessories by integrating the unique on-body monitoring feature with the special complete functional implementation attribute. Sweat, saliva, and urine are three important noninvasive biofluids, and changes in their biomarkers hold great potential for revealing physiological conditions. However, it is still a challenge to design single fully integrated wearable sensor arrays (FIWSAs) that are universally able to concurrently measure electrolytes and metabolites in three of the most common noninvasive biofluids including sweat, saliva, and urine.

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Fully integrated wearable electronics that combine the extraordinary feature of incessant and on-body operation with the distinctive external equipment-free trait are the ultimate goal of modern wearables. Epidermal sweat and wound exudate, as two noninvasively accessible biofluids on/surrounding the skin, reflect underlying health conditions. However, the design of universal wearable sensors with the bifunctional capability to monitor both epidermal secretions is still a challenge.

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Introduction And Objectives: Hepatitis B surface antigen (HBsAg) clearance, indicating functional cure or resolved chronic hepatitis B (CHB), remains difficult to achieve via nucleos(t)ide analogue monotherapy. We investigated whether metformin add-on therapy could help achieve this goal in entecavir-treated patients with hepatitis B e antigen (HBeAg)-negative CHB.

Patients And Methods: Patients with HBeAg-negative CHB who met eligibility criteria (entecavir treatment for > 12 months, HBsAg < 1000 IU/mL) were randomly assigned (1:1) to receive 24 weeks of either metformin (1000 mg, oral, once a day) or placebo (oral, once a day) add-on therapy.

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Phosphorus is an essential macronutrient for plants. The phosphate (Pi) concentration in soil solutions is typically low, and plants always suffer from low-Pi stress. During Pi starvation, a number of adaptive mechanisms in plants have evolved to increase Pi uptake, whereas the mechanisms are not very clear.

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By combining the distinctive noninvasive feature with the peculiar complete functional implementation trait, fully integrated raw noninvasive biofluid glucose biosensors offer active and remote glucose monitoring while posing minimal harm or infection risks compared to the traditional invasive manner. However, each previously reported fully integrated raw noninvasive biofluid glucose biosensor is solely focused on single-type raw noninvasive biofluid analysis. Given the diversity and complexity of subjects' physical conditions, single-type raw noninvasive biofluids are inappropriate to all crowds (e.

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The visualization of intrahepatic hepatitis B virus (HBV) DNA by in situ hybridization (ISH) has uncovered some interesting aspects of HBV life cycle at the single-cell level. In the current study, we intend to evaluate the reliability and robustness of this assay in the real-world clinical scenario and its relationship with currently available clinical biomarkers in chronic hepatitis B (CHB) patients.In this cross-sectional study, 94 CHB patients and 10 patients with non-HBV related liver diseases were enrolled.

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The COVID-19 pandemic has highlighted the global need for reliable models of disease spread. We propose an AI-augmented forecast modeling framework that provides daily predictions of the expected number of confirmed COVID-19 deaths, cases, and hospitalizations during the following 4 weeks. We present an international, prospective evaluation of our models' performance across all states and counties in the USA and prefectures in Japan.

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