Publications by authors named "Mu Liang"

Endophytic plant growth promoting rhizobacteria (PGPRs) could replace chemical fertilizers in sustainable agriculture. Unfortunately, they are susceptible to harsh environmental conditions. Here, we proposed a polymeric hydrogel (PMH) consisting of carboxymethyl chitosan, sodium alginate, and calcium chloride for loading and protecting endophytic PGPR.

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Modulation technology is the necessary means for generating periodic acoustic waves in photoacoustic gas detection, primarily including intensity modulation and wavelength modulation. In multi-gas detection, when multiple lasers employ the same modulation technique, current technologies include time-division multiplexing (TDM) for measurements at different times and frequency-division multiplexing (FDM) for simultaneous measurements; when multiple lasers employ different modulation techniques, the only available technology is TDM with measurements conducted at different times, and whether simultaneous measurement can be achieved has not yet been verified. We propose, for the first time, a multi-gas photoacoustic sensor using multi-mode demodulation.

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The photoacoustic spectroscopy (PAS) system commonly enhances the efficiency of optical-acoustic-electrical energy conversion by increasing the laser power, optimizing the resonance characteristics of the photoacoustic cell (PAC), and improving the sensitivity of acoustic sensors. However, conventional systems using a single-microphone or a dual-microphone differential setup for point sampling of the photoacoustic signal fail to account for its spatial distribution, leading to a loss of spatial gain. Drawing on microphone array theory derived from sonar technology, this study, for the first time, presents a PAS sensing system based on a four-microphone array, which is applied to detect chloroform gas.

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Article Synopsis
  • The study aimed to evaluate how effective time-intensity curve (TIC) analysis and subjective visual assessment of contrast-enhanced ultrasound (CEUS) are when combined with the Ovarian-Adnexal Reporting and Data System (O-RADS) for diagnosing adnexal lesions with solid components.
  • Conducted at multiple centers from September 2021 to December 2022, the study analyzed 180 lesions from 175 women, comparing diagnostic performances using receiver operating characteristic curves.
  • Results showed that integrating CEUS with O-RADS significantly improved diagnostic accuracy (AUC 0.86) compared to O-RADS alone (AUC 0.78), and both CEUS assessment methods (TIC and subjective assessment
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The indiscriminate use of antibiotics has resulted in a growing resistance to drugs in . The identification of antibiotic resistance genes holds considerable clinical significance for prompt diagnosis. In this study, we established and optimized a Recombinase-Aided Amplification (RAA) assay to detect two genes associated with drug resistance, and , in 101 clinically collected isolates.

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Objective: To find efficient cuproptosis-related biomarkers to explore the oncogenesis and progression of oral squamous cell carcinoma (OSCC).

Methods: All the original data were downloaded from the Cancer Genome Atlas (TCGA) database. Univariate Cox analysis and Kaplan-Meier survival analysis were used to identify the gene related to survival.

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An acoustic imaging method for detecting and locating gas leaks based on a virtual ultrasonic sensor array is proposed and experimentally demonstrated. A scanning sensor array of only two sensors is used to collect the acoustic signals generated by the leakage hole. The matrix of the leakage signal is processed by the cross-power spectrum method to achieve time consistency, afterward, the location of the leakage source can be calculated by the virtual beamforming method.

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Objectives: To evaluate the additional advantages of integrating contrast-enhanced ultrasound (CEUS) into the Ovarian-Adnexal Reporting and Data System (O-RADS) ultrasound (US) for the characterization of adnexal lesions with solid components.

Materials And Methods: This prospective multicenter study recruited women suspected of having adnexal lesions with solid components between September 2021 and December 2022. All patients scheduled for surgery underwent preoperative CEUS and US examinations.

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Purpose: Whether brain connectomics can predict 1-year decreased Quality of Life (QoL) in patients with breast cancer are unclear. A longitudinal study was utilized to explore their prediction abilities with a multi-center sample.

Methods: 232 breast cancer patients were consecutively enrolled and 214 completed the 1-year QoL assessment (92.

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This study sought to provide a comprehensive assessment of the incidence of sports injuries among athletes participating in the Olympic Winter Games and to investigate contributing factors. We gathered injury data from athletes participating in the recent four Olympic Winter Games, incorporating details on the sports event, sex, injury location, and type. Through a meta-analysis, we calculated the injury incidence rates for each sport and examined the influence of sex and the type of sport on these incidence rates.

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Background: Transperineal ultrasound (TPUS) is a vital examination method for diagnosing pelvic floor diseases. However, the quality of TPUS largely relies on the operator's experience, and there is a lack of studies on the evaluation of TPUS quality. Therefore, the objective of this study was to assess the quality of TPUS examinations in Chinese tertiary medical centers.

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Immune checkpoint blockade is effective for some patients with cancer, but most are refractory to current immunotherapies and new approaches are needed to overcome resistance. The protein tyrosine phosphatases PTPN2 and PTPN1 are central regulators of inflammation, and their genetic deletion in either tumour cells or immune cells promotes anti-tumour immunity. However, phosphatases are challenging drug targets; in particular, the active site has been considered undruggable.

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Purpose: This study was designed to explore the impact of a new cancer diagnosis on resilience of patients and whether the resilience patterns could predict Quality of Life (QoL) in the first year.

Methods: An exploratory linear piecewise growth mixture modeling (PGMM) with one hypothetical dot (3 months since diagnosis, T1) was employed to identify different resilience patterns and growth in 289 patients with different cancer diagnoses at five assessment occasions (T0-T4). Logistic regression analysis was performed to select potential predictors and receiver operating characteristic (ROC) curve analysis was utilized to test PGMM's discriminative ability against 1-year QoL.

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Transducer components are crucial in optimizing the sensitivity of microphones. Cantilever structure is commonly used as a structural optimization technique. Here, we present a novel Fabry-Perot (F-P) interferometric fiber-optic microphone (FOM) using a hollow cantilever structure.

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Objective: The application of advanced Cognitive Diagnosis Models (CDMs) in the Patient Reported Outcome (PRO) is limited due to its complex statistics. This study was designed to measure resilience using CDMs and its prediction of 6-month Quality of Life (QoL) in breast cancer.

Methods: A total of 492 patients were longitudinally enrolled from Be Resilient to Breast Cancer (BRBC) and administered with 10-item Resilience Scale Specific to Cancer (RS-SC-10) and Functional Assessment of Cancer Therapy-Breast (FACT-B).

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Background: To provide reliable evidence to exercise rehabilitation therapists and clinicians, we compared and analyzed the effects of different exercise modalities on cardiopulmonary function in hemodialysis patients using Bayesian network meta-analysis.

Methods: PubMed, OVID, Web of Science, Cochrane Library, Embase, Scopus, CINAHL, SPORT Discus, SinoMed, CNKI, Wanfang, and VIP were searched from inception to July 20, 2022. We included randomized controlled trials comparing 12 exercise modalities to improve cardiorespiratory fitness in hemodialysis patients.

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To examine the associations of psychotropic usage to clinical characteristics in a pediatric research cohort with research diagnoses and severity scores. The cohort (N = 348) was enriched for children with mood and externalizing symptoms. Prospective longitudinal data were collected from ages 3 to 21 (September 2003-December 2019).

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Background: Resilience is important in cancer survivorship and has great potential to predict long-term quality of life (QoL) in breast cancer. The study was designed to develop a new prediction model to estimate pretest probability (PTP) of 1-year decreased QoL combing Resilience Index (RI) and conventional risk factors.

Methods: RI was extracted from 10-item Resilience Scale Specific to Cancer (RS-SC-10) based on the Principal Component Analysis (PCA).

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Background: Bladder Cancer (BCa) is a severe genitourinary tract disease with an uncertain pathology. Increasing evidence indicates that the tumor microenvironment plays a decisive role with respect to cancer progression, and that this is driven by tumor cell interactions with stromal components. Tenascin-C (TN-C) is an important extracellular matrix (ECM) component, which has been reported to be involved in other types of cancer, such as breast cancer.

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Objective: Resilience instruments specific to family caregivers (FCs) in cancer are limited. This study was designed to validate the 10-item Resilience Scale Specific to Cancer (RS-SC-10) in FCs using multidimensional item response theory (MIRT) analysis.

Methods: 382 FCs were enrolled from Be Resilient to Cancer Program (BRCP) and administered with RS-SC-10 and 36-item Short Form Health Survey (SF-36).

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Objective: Be Resilient to Breast Cancer (BRBC), a theoretically-derived, resilience-based, culturally-tailored, supportive-expressive group therapy (SEGT), has been developed to help promote patients' resilience in breast cancer. Data from patients receiving BRBC intervention was utilized to explore and define characteristics of resilience patterns and their transitions over time.

Methods: Resilience was used as a primary outcome and 391 patients completed Resilience Scale Specific to Cancer at enrollment (T0), 2 months (T1), 6 months(T2), and 12 months (T3) after intervention.

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