Efficacy of early administration of sacubitril/valsartan after coronary artery revascularization in patients with acute myocardial infarction complicated by moderate-to-severe mitral regurgitation: a randomized controlled trial.

Effects of angiotensin receptor/neprilysin inhibitors (ARNI) on ventricular remodeling in patients with heart failure, especially heart failure with reduced ejection fraction (HFrEF), are better than those of angiotensin-converting enzyme inhibitors (ACEI). Acute myocardial infarction (AMI) complicated by mitral regurgitation exacerbates ventricular remodeling and increases the risk of heart failure. There is limited evidence on the effects of early administration of ARNI in patients with AMI complicated by mitral regurgitation. The aim of this trial was to examine the effectiveness and the safety of early administration of sacubitril/valsartan after coronary artery revascularization in patients with AMI complicated by moderate-to-severe mitral regurgitation. This was a randomized, single-blind, parallel-group, controlled trial. From June 2021 to June 2022, we enrolled 142 consecutive patients with AMI complicated by moderate-to-severe mitral regurgitation and followed them for 12 months. The patients received standard treatment for AMI and were randomly assigned to receive ARNI or benazepril. The primary efficacy end points were the differences in mitral regurgitant jet area (MRJA), mitral regurgitant volume (MRV), concentration of n-terminal pro-brain natriuretic peptide (NT-proBNP), left ventricular ejection fraction (LVEF), and left ventricular end-diastolic volume and end-systolic volume (LVEDV and LVESV) between groups and within groups at baseline, 1, 3, 6, and 12 months. Secondary end points included the rates of heart failure hospitalization, all-cause mortality, refractory angina, malignant arrhythmias, recurrent myocardial infarction, and stroke. Safety end points included the rates of hyperkalemia, renal dysfunction, hypotension, angioedema, and cough. The ARNI group had significantly lower NT-proBNP levels than the benazepril group at 1 month and later (P < 0.001). MRJA and MRV significantly improved in the ARNI group compared with the benazepril group at 12 months (MRJA: - 3.21 ± 2.18 cm2 vs. - 1.83 ± 2.81 cm2, P < 0.05; MRV: - 27.22 ± 15.22 mL vs. - 13.67 ± 21.02 mL, P < 0.001). The ARNI group also showed significant reductions in LVEDV and LVESV (P < 0.05) and improvement in LVEF (P < 0.05). Secondary end point analysis showed a significantly higher rate of heart failure hospitalization in the benazepril group compared with the ARNI group (HR = 2.03, 95% CI 1.12-3.68, P = 0.021). Safety end point analysis showed a higher rate of hypotension in the ARNI group (P < 0.05). Early use of sacubitril/valsartan after coronary artery revascularization in patients with AMI complicated by moderate-to-severe mitral regurgitation can significantly reduce mitral regurgitation, improve ventricular remodeling, and decrease heart failure hospitalization. Nevertheless, caution is needed to avoid hypotension. Chinese Clinical Trial Registry (ChiCTR2100054255) registered on December 11, 2021.

Effects of Tirofiban in Patients with Acute Myocardial Infarction and Diabetes Mellitus undergoing Primary Percutaneous Coronary Intervention.

OBJECTIVE: This study evaluated the efficacy and safety of early vs. late tirofiban administration in the treatment of patients with acute ST-elevation myocardial infarction (STEMI) and diabetes mellitus (DM) undergoing primary percutaneous coronary intervention (pPCI). METHODS: 120 patients with STEMI and DM treated with pPCI were randomly divided into an observation group (n=60) and a control group (n=60). The observation group and the control group were intravenously injected with a bolus of tirofiban preoperatively or intraoperatively, respectively; both groups were then given an intravenous infusion over 24 h at 0.15 µg/kg/min. Thrombolysis in myocardial infarction (TIMI) grade flow, myocardial perfusion index, and functional heart parameters, as well as major adverse cardiovascular events and bleeding, were compared between the two groups. RESULTS: Functional heart parameters, including left ventricular ejection fraction and cardiac output, were significantly improved in the observation group 6 months after discharge. Thrombus aspiration, inflammatory factors, and cardiac troponin I (cTNI) were more significantly decreased in the observation group than in the control group. The sum-ST-segment elevation at 2 h after pPCI treatment in the observation group was better than that in the control group. There was no significant difference in the incidence of adverse reactions and bleeding between the two groups. CONCLUSION: The administration of tirofiban before reperfusion therapy compared with after reperfusion therapy is more effective in reducing the hyperthrombotic load, thrombus aspiration, inflammatory factors, and cTNI and can effectively improve myocardial perfusion and heart function.

Early Depletion of Neutrophils Reduces Retinal Inflammation and Neovascularization in Mice with Oxygen-Induced Retinopathy.

Retinal inflammation is a central feature of ocular neovascular diseases such as diabetic retinopathy and retinopathy of prematurity, but the contribution of neutrophils to this process is not fully understood. We studied oxygen-induced retinopathy (OIR) which develops in two phases, featuring hyperoxia-induced retinal vaso-obliteration in phase I, followed by retinal neovascularization in phase II. As neutrophils are acute responders to tissue damage, we evaluated whether neutrophil depletion with an anti-Ly6G mAb administered in phase I OIR influenced retinal inflammation and vascular injury. Neutrophils were measured in blood and spleen via flow cytometry, and myeloperoxidase, an indicator of neutrophil activity, was evaluated in the retina using Western blotting. Retinal vasculopathy was assessed by quantitating vaso-obliteration, neovascularization, vascular leakage, and VEGF levels. The inflammatory factors, TNF, MCP-1, and ICAM-1 were measured in retina. In the OIR controls, neutrophils were increased in the blood and spleen in phase I but not phase II OIR. In OIR, the anti-Ly6G mAb reduced neutrophils in the blood and spleen, and myeloperoxidase, inflammation, and vasculopathy in the retina. Our findings revealed that the early rise in neutrophils in OIR primes the retina for an inflammatory and angiogenic response that promotes severe damage to the retinal vasculature.

Detection of Specific Volatile Organic Compounds in Tribolium castaneum (Herbst) by Solid-Phase Microextraction and Gas Chromatography-Mass Spectrometry.

The red flour beetle, Tribolium castaneum (Herbst) (Coleoptera: Tenebrionidae), is a major storage pest that could lead to a wide range of damage. Its secretions have a significant impact on the quality of stored grain and food, leading to serious food safety problems such as grain spoilage and food carcinogenesis. This study investigates new detection techniques for grain storage pests to improve grain insect detection in China. The primary volatile organic chemicals (VOCs) in these secretions are identified using headspace solid-phase microextraction (HS-SPME) coupled with gas chromatography-mass spectrometry (GC-MS). The specific VOCs that are unique to T. castaneum are selected as criteria for determining the presence of T. castaneum in the granary. To obtain more specific VOCs, experiments were designed for the analysis of T. castaneum samples under different extraction times, two types of SPME fibers and two GC-MS devices of different manufacturers. The experimental results showed that 12 VOCs were detected at relatively high levels, seven of which were common and which were not detected in other grains and grain insects. The seven compounds are 1-pentadecene, 2-methyl-p-benzoquinone, 2-ethyl-p-benzoquinone, 1-hexadecene, cis-9-tetradecen-1-ol, m-cresol and paeonol. These seven compounds can be used as volatile markers to identify the presence of T. castaneum, which could serve as a research foundation for the creation of new techniques for T. castaneum monitoring.

Bread staling prediction with a multiobjective particle swarm optimization-based bread constitutive modeling method.

Aiming at the complex and cumbersome problems of current bread staling detection technology, a food constitutive modeling method based on the multiobjective particle swarm optimization (MOPSO) was proposed, which can quickly and efficiently identify the creep test parameters for bread, and predict the viscoelastic parameters of bread staling using the analyzed viscoelastic parameters, resulting in convenient and efficient detection of bread staling. Firstly, airflow-laser detection technology was used to carry out rapid, efficient, and non-destructive bread rheological tests to obtain bread creep test data. The MOPSO based on the Pareto set was then used to identify the generalized Kelvin model, and the discrimination accuracy was evaluated by using the inversion results established by the viscoelastic parameters, which resulted in efficient discrimination of creep test data of starch-based products represented by bread. Finally, using extreme learning machine regression (ELM), a prediction model between the analysis results and the moisture content of bread staling was established, and the prediction effect of the analysis results on bread staling was verified. The experimental results show that, when compared to finite element analysis (FEA) and non-linear regression (NLR) to identify creep parameters, the MOPSO overcomes the shortcomings of easy falling into the local optimal solution, is easy to implement, has strong global search ability, and is suitable for the analysis of high-dimensional viscoelastic models of complex foods. The correlation coefficient (R) of the prediction set established by the 12-membered viscoelastic parameters in the prediction model established by multi-element viscoelastic parameters and bread moisture content was 0.847, and the root mean square error (RMSE) was 0.021. This demonstrated that, when combined with MOPSO, airflow-laser detection technology could effectively identify the viscoelastic parameters of bread and establish a method suitable for monitoring bread staling in industrial production. The results of this study provide a reference for the identification of viscoelastic parameters of complex foods and to detect bread staling quickly and efficiently.

Determination of beef tenderness based on airflow pressure combined with structural light three-dimensional (3D) vision technology.

The main factor affecting beef quality, consumer satisfaction, and purchase decisions is beef tenderness. In this study, a rapid nondestructive testing method for beef tenderness based on airflow pressure combined with structural light 3D vision technology was proposed. The structural light 3D camera was used to scan the 3D point cloud deformation information of the beef surface after the airflow acted on it for 1.8 s. Six deformation characteristics and three point cloud characteristics of the beef surface depression region were obtained by using denoising, point cloud rotation, point cloud segmentation, point cloud descending sampling, alphaShape, and other algorithms. A total of nine characteristics were mainly concentrated in the first five principal components (PCs). Therefore, the first five PCs were put into three different models. The results showed that the Extreme Learning Machine (ELM) model had a comparatively higher prediction effect for the prediction of beef shear force, with a root mean square error of prediction (RMSEP) of 11.1389 and a correlation coefficient (R) of 0.8356. In addition, the correct classification accuracy of the ELM model for tender beef achieved 92.96%. The overall classification accuracy reached 93.33%. Consequently, the proposed methods and technology can be applied for beef tenderness detection.

Discrimination of Inner Injury of Korla Fragrant Pear Based on Multi-Electrical Parameters.

Inner-injury fragrant pears are easily prone to rot during storage. Discriminating inner injury in the Korla fragrant pear from the normal pear is difficult as the flesh may be injured while the peel of the fruit remains intact. This study demonstrated the recognition of inner-injury pears based on their electric characteristics to pick out the inner-injury pears before storage. The electrical parameters parallel equivalent capacitance, quality factor, parallel equivalent inductance, parallel equivalent resistance, complex impedance, and phase angle were measured using the fruit electrical characteristic detection instrument. Principal component analysis and correlation analysis were used to determine the characteristic parameters, connected with the qualitative value of the fragrant pear to establish three discrimination models. When the measurement frequency was 100 kHz, compared with the Naïve Bayes and K-nearest neighbor models, the Support Vector Machine model with the characteristic parameters of quality factor, parallel equivalent resistance, and phase angle performed best. The recognition accuracy of the test set was 92.00%, the precision was 92.41%, the recall was 97.33%, and the F1 score was 0.95. Therefore, the electrical characteristic technique effectively detected the inner injury of fragrant pears and provided a new way to distinguish the inner injury of fruits.

Assessment of kiwifruit firmness by using airflow and laser technique.

Firmness is a valid and widely acknowledged indication of fruit quality that is directly connected to physical structure and mechanical qualities. The deformation signals of kiwifruit for firmness assessment were acquired using an assessment system based on airflow and laser technology in this investigation. Using partial least squares regression (PLSR), genetic algorithm optimization of bp neural network (GA-BP), and an extreme learning machine (ELM), deformation data from kiwifruit was used to create models of Magness-Taylor penetration firmness prediction. The ELM model outperformed the PLSR model, and GA-BP model in the prediction set, with a correlation coefficient of 0.876 and a root mean squared error of 3.576 N in the prediction set. These findings showed that an assessment system based on airflow and laser techniques can be utilized to assess the firmness of kiwifruit quickly and nondestructively.

Comparison of intracoronary versus intravenous tirofiban in acute ST-elevation myocardial infarction patients undergoing primary percutaneous coronary intervention.

OBJECTIVE: This study aimed to investigate the effect of intracoronary (IC) tirofiban compared to intravenously administered tirofiban in STEMI patients treated with PPCI. METHODS: This study included 180 STEMI patients who were underwent PPCI. Patients were randomized into an IC group ( n = 90) and intravenous (IV) group ( n = 90). During the procedure, the both groups were administered IC or IV injections of tirofiban, respectively, followed by an IV infusion of tirofiban for 24 hours. Changes in TIMI flow grading, TMP grade 3, Sum-STR two hours after the operation, the number of thrombus aspirations during the operation, myocardial enzyme, inflammatory factors,cardiac functional parameters, MACE and bleeding were investigated. RESULTS: Following treatment, TIMI flow grading and TMP grade 3 were improved in the IC tirofiban compared to the IV group ( P = 0.022 and P = 0.014, respectively). Additionally, the Sum-STR two hours after operation, the incidence of MACEs, levels of AST, CRP, ESR, and TNI in the IC group was improved, compared with the IV group (all P < 0.05). Furthermore. Cardiac function including CO and LVEF were significantly improved in the IC group 6 months after discharge. CONCLUSION: This study found that IC administration of tirofiban in patients with STEMI who underwent PPCI improved TIMI, TMP flow and cardiac function 6 months after discharge, and reduced CRP, ESR, and TNI. However, the incidence of bleeding between the two groups was comparable. These findings suggest that IC administration should be applied in certain acute STEMI patients.

A Review of Vision-Laser-Based Civil Infrastructure Inspection and Monitoring.

Structural health and construction security are important problems in civil engineering. Regular infrastructure inspection and monitoring methods are mostly performed manually. Early automatic structural health monitoring techniques were mostly based on contact sensors, which usually are difficult to maintain in complex infrastructure environments. Therefore, non-contact infrastructure inspection and monitoring techniques received increasing interest in recent years, and they are widely used in all aspects of infrastructure life, owing to their convenience and non-destructive properties. This paper provides an overview of vision-based inspection and vision-laser-based monitoring techniques and applications. The inspection part includes image-processing algorithms, object detection, and semantic segmentation. In particular, infrastructure monitoring involves not only visual technologies but also different fusion methods of vision and lasers. Furthermore, the most important challenges for future automatic non-contact inspections and monitoring are discussed and the paper correspondingly concludes with state-of-the-art algorithms and applications to resolve these challenges.

Assessment of Trimetazidine Treatment in Acute Myocardial Infarction Patients Undergoing Percutaneous Coronary Intervention.

Aims: Trimetazidine (TMZ) is effective at improving clinical outcomes in chronic heart failure and stable coronary artery disease patients. However, no single study has comprehensively evaluated the efficacy of TMZ in acute myocardial infarction (AMI) patients undergoing percutaneous coronary intervention (PCI). Methods: We enrolled 401 Chinese patients. All patients received the same drug prescription except for TMZ. In blinded fashion, patients were randomized to either a control or an experimental group in which 60 mg TMZ was provided at admission and then at 20 mg three times a day thereafter. At 2 and/or 6 days, we evaluated creatine kinase (CK and CK-MB), cardiac troponin I (cTnI), C-reaction protein (CRP), serum tumor necrosis factor (TNF-α), serum creatinine (Cr), serum urea, glucose, glutamic pyruvic transaminase (ALT), and glutamic oxaloacetic transaminase (AST). Additionally, by echocardiography, we assessed left ventricular ejection fraction (LVEF), left ventricular end-diastolic dimension (LVEDD), and cardiac output (CO). Results: CK and CKMB, which were recorded on the second day in the hospital (each p=0.022), and cTNI, which was recorded on the sixth day in the hospital (p=0.003), were reduced with TMZ treatment compared to control. In addition, ALT and AST (p=0.001, p=0.000, respectively) and glucose after 6 days (p=0.011) were significantly lower in the study group than in the control group. Furthermore, LVEF after 10-14 days and 6 months after discharge (p=0.039 and p=0.047, respectively) was increased with TMZ treatment. The effects of TMZ on CRP, TNF-α, Cr, urea, LVEDD, and CO were not significant (all p > 0.05). Conclusions: For AMI patients undergoing PCI, TMZ reduced circulating biomarkers of myocardial infarction, reduced values of ALT, AST, and glucose, and improved cardiac function compared with the control group.

Natural variation of HTH5 from wild rice, Oryza rufipogon Griff., is involved in conferring high-temperature tolerance at the heading stage.

Global warming is a major abiotic stress factor, which limit rice production. Exploiting the genetic basis of the natural variation in heat resistance at different reproductive stages among diverse exotic Oryza germplasms can help breeding heat-resistant rice cultivars. Here, we identified a stable quantitative trait locus (QTL) for heat tolerance at the heading stage on chromosome 5 (qHTH5) in O. rufipogon Griff. The corresponding gene, HTH5, pertains to the pyridoxal phosphate-binding protein PLPBP (formerly called PROSC) family, which is predicted to encode pyridoxal phosphate homeostasis protein (PLPHP) localized to the mitochondrion. Overexpression of HTH5 increased the seed-setting rate of rice plants under heat stress at the heading stage, whereas suppression of HTH5 resulted in greater susceptibility to heat stress. Further investigation indicated that HTH5 reduces reactive oxygen species accumulation at high temperatures by increasing the heat-induced pyridoxal 5'-phosphate (PLP) content. Moreover, we found that two SNPs located in the HTH5 promoter region are involved with its expression level and associated with heat tolerance diversity. These findings suggest that the novel gene HTH5 might have great potential value for heightening rice tolerance to heat stress to the on-going threat of global warming.

Clemastine Rescues Chemotherapy-Induced Cognitive Impairment by Improving White Matter Integrity.

With the improvement of cancer treatment techniques, increasing attention has been given to chemotherapy-induced cognitive impairment through white matter injury. Clemastine fumarate has been shown to enhance white matter integrity in cuprizone- or hypoxia-induced demyelination mouse models. However, whether clemastine can be beneficial for reversing chemotherapy-induced cognitive impairment remains unexplored. In this study, the mice received oral administration of clemastine after chemotherapy. The open-field test and Morris water maze test were used to evaluate their anxiety, locomotor activity and cognitive function. Luxol Fast Blue staining and transmission electron microscopy were used to detect the morphological damage to the myelin. Demyelination and damage to the mature oligodendrocytes and axons were observed by immunofluorescence and western blotting. Clemastine significantly improved their cognitive function and ameliorated white matter injury in the chemotherapy-treated mice. Clemastine enhanced myelination, promoted oligodendrocyte precursor cell differentiation and increased the neurofilament 200 protein levels in the corpus callosum and hippocampus. We concluded that clemastine rescues cognitive function damage caused by chemotherapy through improving white matter integrity. Remyelination, oligodendrocyte differentiation and the increase of neurofilament protein promoted by clemastine are potential strategies for reversing the cognitive dysfunction caused by chemotherapy.

Application of tirofiban in patients with acute myocardial infarction complicated with diabetes and undergoing emergency interventional therapy.

OBJECTIVES: To investigate the application of tirofiban in patients with acute myocardial infarction complicated with diabetes and undergoing emergency interventional therapy. METHODS: Two hundred patients with acute ST-segment elevation myocardial infarction (STEMI) complicated with diabetes who underwent percutaneous coronary intervention (PCI) and found to have high thrombus burden in coronary artery admitted to our hospital from September 2018 to September 2020 were selected as subjects, and were divided into two groups according to the randomization method: the intravenous tirofiban bolus group and the intracoronary tirofiban bolus group, with 100 cases in each group. The levels of LVEF, LVESD and LVEDD were detected immediately after admission and 15 days after therapy, and the enzyme-linked immunosorbent assay was utilized to detect the levels of CK-MB, MMP-9 and hs-CRP. Furthermore, the levels of BNP, TNI, CR and UREA of the patients were analyzed, and the levels of ESR and FIB were detected with an automatic blood rheology analyzer to analyze the TIMI classification and the incidence of MACE in the two groups. RESULTS: Significant differences were seen between the two groups in the levels of various indicators after therapy. Fifteen days after therapy, the levels of LVEF and LVEDD were higher and the level of LVESD was lower in the intracoronary tirofiban bolus group than in the intravenous tirofiban bolus group (p<0.05); 3d after therapy, the levels of CK-MB, MMP-9 and BNP in the intracoronary tirofiban bolus group were lower than those in the intravenous tirofiban bolus group (p<0.05); 3d after therapy, the levels of TNI (p<0.05), CR and UREA in the intracoronary tirofiban bolus group were lower than those in the intravenous tirofiban bolus group, with no statistical difference (p>0.05); Similarly, 3d after therapy, the levels of TNI, Cr and Urea, as well as ESR, FIB and hs-CRP were lower in the intracoronary tirofiban bolus group than in the intravenous tirofiban bolus group (p<0.05). Compared with the intravenous tirofiban bolus group, the intracoronary tirofiban bolus group had a lower number of patients with Grade-0 and Grade-1, but a higher number of patients with Grade-2 and Grade-3 (p<0.05); Moreover, the incidence of MACE in the intracoronary tirofiban bolus group was lower than that in the intravenous tirofiban bolus group (p<0.05). CONCLUSION: In patients with STEMI complicated with diabetes who underwent PCI and found to have high thrombus burden in coronary artery, intracoronary bolus of tirofiban boasts superior therapeutic efficacy over intravenous bolus of tirofiban in significantly improving cardiac function, reducing myocardial cell damage, and improving renal function and myocardial inflammation of patients.

Prediction of tenderness of chicken by using viscoelasticity based on airflow and optical technique.

Tenderness is an index for evaluating meat quality. A prediction model of tenderness was established based on the chicken deformation, which was determined by a viscoelasticity system combined with airflow and optical technique. Different preprocessing methods were used to preprocess the deformation. The interval variables that represent the viscoelasticity of the chicken in deformation, were screen by synergy interval partial least squares algorithm (Si-PLS) and moving window partial least squares algorithm (Mw-PLS). The prediction model was established by principal component regression (PCR) and partial least squares regression (PLSR). The optimum PLSR prediction model was established when Mw-PLS was used to screen the interval variables of Savitzy-Golay (S-G) smoothing data. The correlation coefficient and the root mean square error of the calibration set were 0.965 and 0.874 kg, respectively. The corresponding value of the prediction set was 0.943 and 1.005 kg. This research provides a new method to assess the quality of poultry meat that conducts on airflow and optical techniques.

Feasibility of NIR spectroscopy detection of moisture content in coco-peat substrate based on the optimization characteristic variables.

Moisture content is an important index to evaluate the water content in substrate. Near-infrared (NIR) spectroscopy was used for rapid quantitative detection of moisture content of coco-peat substrate. The different spectral pretreatment methods were adopted to pre-process the spectral data. Successive projection algorithm (SPA), elimination of uninformative variables algorithm (UVE) and synergy interval partial least squares algorithm (Si-PLS) were used to screen characteristic variables of coco-peat substrate original spectral data and different pretreatment spectral data. The partial least squares (PLSR) and multiple linear regression (MLR) were used to establish the relationship model between the spectral data and reference measurement value of moisture content. In comparison, the best and simplest spectral prediction model was established when SPA was used to screen the characteristic variables of Savitzky-Golay (S-G) smoothing spectral data and MLR was used to establish the model. And the corresponding correlation coefficient and root mean square error of calibration set were 0.9976 and 1.0989%, respectively; the correlation coefficient and root mean square error of prediction set were 0.9963 and 1.4029%, respectively, and RPD was 11.28. The results of this study provided a feasible method for the rapid detection of moisture content of coco-peat substrate.

Fine mapping of the qHTB1-1QTL, which confers heat tolerance at the booting stage, using an Oryza rufipogon Griff. introgression line.

KEY MESSAGE: The qHTB1-1 QTL, controlling heat tolerance at the booting stage in rice, was fine mapped to a 47.1 kb region containing eight candidate genes. Two positional candidate genes showed significant changes in expression levels under heat stress. High-temperature stress at the booting stage has the potential to significantly limit rice production. An interspecific advanced backcrossed population between the Oryza sativa L. cultivar R53 and the wild Oryza rufipogon Griff accession HHT4 was used as the source material to develop a set of chromosome segment introgression lines to elucidate the genetic mechanism of the qHTB1-1 QTL in heat tolerance. A single-chromosome-segment introgression line, IL01-15, was used to develop secondary populations for the mapping of qHTB1-1 on chromosome 1 for heat tolerance at the booting stage. Using the BC5F2, BC5F3, and BC5F4 populations, we first confirmed qHTB1-1 and validated the phenotypic effect. The qHTB1-1 QTL explained 13.1%, 16.9%, and 17.8% of the phenotypic variance observed in the BC5F2, BC5F3, and BC5F4 generations, respectively. Using homozygous recombinants screened from larger BC6F2 and BC6F3 populations, qHTB1-1 was fine mapped within a 47.1 kb region between markers RM11633 and RM11642. Eight putative predicted genes were annotated in the region, and six genes were predicted to encode expressed proteins. The expression patterns of these six genes demonstrated that LOC_Os01g53160 and LOC_Os01g53220 were highly induced by heat stress in IL01-15 compared to R53. Sequence comparison of the gene-coding regions of LOC_Os01g53160 and LOC_Os01g53220 between R53 and IL01-15 revealed one synonymous and two nonsynonymous SNPs in exons, respectively. Our results provide a basis for identifying the genes underlying qHTB1-1 and indicate that markers linked to the qHTB1-1 locus can be used to improve the heat tolerance of rice at the booting stage by marker-assisted selection.

Transurethral resection in women with symptomatic keratinizing squamous metaplasia of urinary bladder: A retrospective study of 92 cases.

OBJECTIVES: To investigate the efficacy of transurethral resection (TUR) on relieving urinary symptoms in patients with keratinizing squamous metaplasia (KSM) of the urinary bladder. METHODS: Data were analyzed from a retrospective study of patients receiving transurethral bipolar plasma resection (bi-TUR) treatment for symptomatic KSM. Urinary symptoms were assessed by the International Prostate Symptom Score (IPSS) and a numeric rating scale pain score. Efficacy was assessed using the IPSS to determine changes from baseline in lower urinary tract symptoms (LUTS). Self-reported quality of life (QoL) was assessed by the last question of the IPSS questionnaire. RESULTS: A total of 92 female patients were included in the analysis. The median age was 42 years. LUTS, pain, and hematuria were the most common symptoms that affected patients. The median follow-up duration was 51 months. There were significant improvements in LUTS from baseline IPSS after TUR (P < .001). The percentage of the patients with moderate to severe LUTS went down from 52.2% to 18.5%. The median Numeric Rating Scale (NRS)-11 pain score reduced from 3 at baseline to 0 at the last visit. Twenty-one out of 40 patients reported that the pain symptoms disappeared completely. No patients reported hematuria symptoms at the final follow-up. Improvement of self-reported QoL was significant (P < .001). A total of 57.6% of patients reported an improvement, 26.1% of patients reported no improvement, and 16.3% reported deterioration. CONCLUSIONS: Bi-TUR therapy significantly relieved urinary symptoms in women with KSM. Improvement of QoL was acceptable with a success rate of 57.6%. Considering the very low complication rate, our study supported bi-TUR as an alternative treatment for patients who are resistant to medical therapy.

Comprehensive comparison of multiple quantitative near-infrared spectroscopy models for Aspergillus flavus contamination detection in peanut.

BACKGROUND: Aspergillus flavus is a major pollutant in moldy peanuts, and it has a large influence on the taste of food. The secondary metabolites of Aspergillus flavus, including aflatoxin B1 (AFB1) and aflatoxin B2 (AFB2), are highly toxic and can expose humans to high risk. The total mold count (TMC) is an important index to determine the contamination degree and hygiene quality of peanut. RESULTS: Quantitative calibration models were established based on full-band wavelengths and characteristic wavelengths, combined with chemometric methods, to explore the feasibility of the use of near-infrared spectroscopy (NIRS) for rapid detection of the TMC in peanuts. The successive projection algorithm (SPA) and elimination of uninformative variables (UVE) algorithms were used to extract the characteristic wavelengths. In comparison, the model built by original spectrum, selected with the UVE algorithm, gave the best result, with a correlation coefficient in a prediction set (RP ) of 0.9577, a root mean square error for the prediction set (RMSEP) of 0.2336 Log CFU/g, and a residual predictive deviation (RPD) of 3.5041. CONCLUSIONS: The results showed that NIRS is a rapid, practicable method for the quantitative detection of peanut Aspergillus flavus contamination. It is a promising method for detecting moldy peanuts and increasing peanut safety. © 2019 Society of Chemical Industry.

Application of multi-element viscoelastic models to freshness evaluation of beef based on the viscoelasticity principle.

The aims of this work were to develop multi-element viscoelastic models for beef and apply them to detect total volatile basic nitrogen (TVB-N) content for freshness evaluation. The deformation data were collected by a viscoelasticity detection system that employed the airflow and laser technique. Then, TVB-N contents were measured to determine the freshness of samples during storage. A universal global optimization (UGO) algorithm was applied to fit the deformation data. Various multi-element viscoelastic models including the Burgers, six-element and eight-element models were built using the obtained fitting parameters, and different viscoelastic parameters representing the degree of beef spoilage were obtained. All the viscoelastic parameters of each multi-element model and parameter combinations of the selected six-element model were employed to build mathematical models for predicting TVB-N content by support vector machine regression (SVR). In comparison, the six-element model with all the viscoelastic parameters performed the best and was determined to predict TVB-N content with correlation coefficient in the prediction set (RP ) of 0.891 and root mean squared error in the prediction set (RMSEP) of 1.467 mg/100 g. Based on the results of parameter combinations, combination (E2 , E3 , E1 , η1 , η2 ) from the six-element model performed the best, which was comparatively inferior to all the viscoelastic parameters of the six-element model. Results demonstrated that it was possible to predict TVB-N content for freshness evaluation by applying method of developing multi-element model based on the viscoelasticity with chemometrics.