Diagnostic value of multiple b-value diffusion-weighted imaging in discriminating the malignant from benign breast lesions.

OBJECTIVE: The conventional breast Diffusion-weighted imaging (DWI) was subtly influenced by microcirculation owing to the insufficient selection of the b values. However, the multiparameter derived from multiple b-value exhibits more reliable image quality and maximize the diagnostic accuracy. We aim to evaluate the diagnostic performance of stand-alone parameter or in combination with multiparameter derived from multiple b-value DWI in differentiating malignant from benign breast lesions. METHODS: A total of forty-one patients diagnosed with benign breast tumor and thirty-eight patients with malignant breast tumor underwent DWI using thirteen b values and other MRI functional sequence at 3.0 T magnetic resonance. Data were accepted mono-exponential, bi-exponential, stretched-exponential, aquaporins (AQP) model analysis. A receiver operating characteristic curve (ROC) was used to evaluate the diagnostic performance of quantitative parameter or multiparametric combination. The Youden index, sensitivity and specificity were used to assess the optimal diagnostic model. T-test, logistic regression analysis, and Z-test were used. P value < 0.05 was considered statistically significant. RESULT: The ADCavg, ADCmax, f, and α value of the malignant group were lower than the benign group, while the ADCfast value was higher instead. The ADCmin, ADCslow, DDC and ADCAQP showed no statistical significance. The combination (ADCavg-ADCfast) yielded the largest area under curve (AUC = 0.807) with sensitivity (68.42%), specificity (87.8%) and highest Youden index, indicating that multiparametric combination (ADCavg-ADCfast) was validated to be a useful model in differentiating the benign from breast malignant lesion. CONCLUSION: The current study based on the multiple b-value diffusion model demonstrated quantitatively multiparametric combination (ADCavg-ADCfast) exhibited the optimal diagnostic efficacy to differentiate malignant from benign breast lesions, suggesting that multiparameter would be a promising non-invasiveness to diagnose breast lesions.

Analysis of Variability of Functionals of Recombinant Protein Production Trajectories Based on Limited Data.

Making statistical inference on quantities defining various characteristics of a temporally measured biochemical process and analyzing its variability across different experimental conditions is a core challenge in various branches of science. This problem is particularly difficult when the amount of data that can be collected is limited in terms of both the number of replicates and the number of time points per process trajectory. We propose a method for analyzing the variability of smooth functionals of the growth or production trajectories associated with such processes across different experimental conditions. Our modeling approach is based on a spline representation of the mean trajectories. We also develop a bootstrap-based inference procedure for the parameters while accounting for possible multiple comparisons. This methodology is applied to study two types of quantities-the "time to harvest" and "maximal productivity"-in the context of an experiment on the production of recombinant proteins. We complement the findings with extensive numerical experiments comparing the effectiveness of different types of bootstrap procedures for various tests of hypotheses. These numerical experiments convincingly demonstrate that the proposed method yields reliable inference on complex characteristics of the processes even in a data-limited environment where more traditional methods for statistical inference are typically not reliable.

Inference on the dynamics of COVID-19 in the United States.

The evolution of the COVID-19 pandemic is described through a time-dependent stochastic dynamic model in discrete time. The proposed multi-compartment model is expressed through a system of difference equations. Information on the social distancing measures and diagnostic testing rates are incorporated to characterize the dynamics of the various compartments of the model. In contrast with conventional epidemiological models, the proposed model involves interpretable temporally static and dynamic epidemiological rate parameters. A model fitting strategy built upon nonparametric smoothing is employed for estimating the time-varying parameters, while profiling over the time-independent parameters. Confidence bands of the parameters are obtained through a residual bootstrap procedure. A key feature of the methodology is its ability to estimate latent unobservable compartments such as the number of asymptomatic but infected individuals who are known to be the key vectors of COVID-19 spread. The nature of the disease dynamics is further quantified by relevant epidemiological markers that make use of the estimates of latent compartments. The methodology is applied to understand the true extent and dynamics of the pandemic in various states within the United States (US).

Effect of surfactants on phosphorus release and acidogenic fermentation of waste activated sludge containing different aluminium phosphate forms.

The effects of different surfactants (rhamnolipid, trehalolipid and citrate) on phosphorus (P) release and acidogenic fermentation of waste activated sludge (WAS) containing different aluminium phosphate forms (AlPO4, Al(PO3)3) were investigated. Results showed that rhamnolipid was the most effective surfactant to release P from aluminum phosphates (AlPs)-rich sludge. Al(PO3)3 was easier to release P than AlPO4 in WAS due to their different crystal structures. Different surfactants promoted the production of different types of protein. The addition of rhamnolipid was conducive to produce propionate from WAS, while trehalolipid and citrate increased the production of n-butyrate and acetate, respectively. Citrobacter played an important role in producing phosphatase continuously for P release with rhamnolipid addition. Predictive functional profiling indicates that rhamnolipid greatly facilitated adenosine triphosphate (ATP)-binding cassette transporter and quorum sensing. These important discoveries help to enrich P recovery paths from sludge produced with Al-based coagulants in wastewater treatment plants.

Color-complexity enabled exhaustive color-dots identification and spatial patterns testing in images.

Our computational developments and analyses on experimental images are designed to evaluate the effectiveness of chemical spraying via unmanned aerial vehicle (UAV). Our evaluations are in accord with the two perspectives of color-complexity: color variety within a color system and color distributional geometry on an image. First, by working within RGB and HSV color systems, we develop a new color-identification algorithm relying on highly associative relations among three color-coordinates to lead us to exhaustively identify all targeted color-pixels. A color-dot is then identified as one isolated network of connected color-pixel. All identified color-dots vary in shapes and sizes within each image. Such a pixel-based computing algorithm is shown robustly and efficiently accommodating heterogeneity due to shaded regions and lighting conditions. Secondly, all color-dots with varying sizes are categorized into three categories. Since the number of small color-dot is rather large, we spatially divide the entire image into a 2D lattice of rectangular. As such, each rectangle becomes a collective of color-dots of various sizes and is classified with respect to its color-dots intensity. We progressively construct a series of minimum spanning trees (MST) as multiscale 2D distributional spatial geometries in a decreasing-intensity fashion. We extract the distributions of distances among connected rectangle-nodes in the observed MST and simulated MSTs generated under the spatial uniformness assumption. We devise a new algorithm for testing 2D spatial uniformness based on a Hierarchical clustering tree upon all involving MSTs. This new tree-based p-value evaluation has the capacity to become exact.

OsWRKY93 Dually Functions Between Leaf Senescence and in Response to Biotic Stress in Rice.

Cross talking between natural senescence and cell death in response to pathogen attack is an interesting topic; however, its action mechanism is kept open. In this study, 33 OsWRKY genes were obtained by screening with leaf aging procedure through RNA-seq dataset, and 11 of them were confirmed a significant altered expression level in the flag leaves during aging by using the reverse transcript quantitative PCR (RT-qPCR). Among them, the OsWRKY2, OsWRKY14, OsWRKY26, OsWRKY69, and OsWRKY93 members exhibited short-term alteration in transcriptional levels in response to Magnaporthe grisea infection. The CRISPR/Cas9-edited mutants of five genes were developed and confirmed, and a significant sensitivity to M. oryzae infection was observed in CRISPR OsWRKY93-edited lines; on the other hand, a significant resistance to M. oryzae infection was shown in the enhanced expression OsWRKY93 plants compared to mock plants; however, enhanced expression of other four genes have no significant affection. Interestingly, ROS accumulation was also increased in OsWRKY93 enhanced plants after flg22 treatment, compared with the controls, suggesting that OsWRKY93 is involved in PAMP-triggered immune response in rice. It indicated that OsWRKY93 was involved in both flag leaf senescence and in response to fungi attack.

An Oxygen-Enriched Photodynamic Nanospray for Postsurgical Tumor Regression.

Postoperative local recurrence and metastasis are non-negligible challenges in clinical cancer treatment. Photodynamic therapy (PDT) has presented a great potential in preventing cancer recurrence owing to its noninvasiveness and high specificity for local irradiation of tumor sites. However, the application of conventional PDT is often limited by insufficient oxygen supply, making it difficult to achieve high PDT efficacy. Herein, we combined liposomes with photosensitizer indocyanine green (ICG) and perfluorooctyl bromide (PFOB) to develop a new oxygen-enriched photodynamic nanospray (Lip-PFOB-ICG) for cancer postoperative treatment. The Lip-PFOB-ICG not only has good biocompatibility but also enhanced the PDT effect under near-infrared light. More importantly, PFOB can continuously absorb oxygen, thus improving the collision energy transfer between the ICG photosensitizer and oxygen, and significantly inhibit local tumor recurrence in the subcutaneous tumor recurrence model. This oxygen-enriched photodynamic nanospray strategy may open up new avenues for effective postoperative cancer therapy in the clinic.

[ole of AGGF1 in DNA damage repair and modulating chemotherapy resistance in human colon cancer cells in vitro].

OBJECTIVE: To investigate the role of AGGF1 in DNA damage repair and modulating chemotherapy resistance in human colon cancer cells. METHODS: Cisplatin-induced human colon cancer HCT116 cells transfected with AGGF1 siRNA and siNC via Lipofectamine 2000 were examined for AGGF1, γH2AX and pNBS1 expressions using Western blotting. Immunofluorescence analysis was used to detect the recruitment of phosphorylated γH2AX and AGGF1 at the site of cisplatin-induced double-strand DNA breaks, and MTS method was used to investigate the proliferation of the damaged cells. Immunohistochemical method was used to detect the expression level of AGGF1 in human colon cancer and adjacent normal tissues. RESULTS: Western blotting showed that AGGF1 expression was significantly down-regulated in HCT116 cells after cisplatin exposure, and transfection withAGGF1 siRNAobviously inhibited the expression of phosphorylated γH2AX and NBS1. Immunofluorescence assay showed the co-localization of AGGF1 and γH2AX. Down-regulation of AGGF1 mediated by siRNA obviously increased the chemosensitivity of the cells (P < 0.01). In the clinical specimens, AGGF1 was found to be overexpressed in colon cancer tissues as compared with the adjacent normal tissues (P < 0.01), suggesting its association with the malignant phenotype of the tumor. CONCLUSIONS: Down-regulation of AGGF1 inhibits DNA damage repair and increases the chemosensitivity in colon cancer cells possibly in relation with the suppressed phosphorylation of NBS1.

Home-based DIR/Floortime intervention program for preschool children with autism spectrum disorders: preliminary findings.

Improving parent-child interaction and play are important outcomes for children with autism spectrum disorder (ASD). Play is the primary occupation of children. In this pilot study conducted in Taiwan, we investigated the effects of the developmental, individual difference, and relationship-based (DIR)/Floortime home-based intervention program on social interaction and adaptive functioning of children with ASD. The participants were 11 children with ASD, ages from 45-69 months, and their mothers. Mothers were instructed the principles of the approach by an occupational therapist. All 11 children and their mothers completed the 10-week home-based intervention program, undergoing an average of 109.7 hr of intervention. Children made significant changes in mean scores for emotional functioning, communication, and daily living skills. Moreover, the mothers perceived positive changes in their parent-child interactions. The findings of this pilot study contribute to knowledge regarding the effects of home-based DIR/Floortime intervention program on increasing the social interaction and adaptive behaviors of children with ASD in Taiwan.

The speed of ice growth as an important indicator in cryosurgery.

PURPOSE: We consider the speed of ice growth as an indicator of the speed of cooling and investigated its impact on the factors at the cell death boundary in an in vitro simulated cryosurgical system. MATERIALS AND METHODS: PC-3 cells were cultured in culture plates and simulated cryosurgery was performed under different speeds of ice growth using an in vitro simulated cryosurgical system. The freezing front was closely monitored. Cells were fixed and stained 24 hours after cryosurgery. The distance from the cell death boundary to the ice front was measured and defined as the distance gap. It was correlated with the speed of ice growth. Temperature history at the cell death boundary was retrieved and also correlated with the speed of ice growth. RESULTS: A high correlation between the speed of ice growth and the temperature gradient plus an inverse correlation between the speed of ice growth and the distance gap were found. The distance gap narrowed when the speed of ice growth was around 3 mm per minute but widened when the speed of ice growth was slower than 1.5 mm per minute. CONCLUSIONS: Changes in ice growth speed indicate changes in the temperature gradient, and the distance between the ice front and the cell death boundary. Different treatment end points should be chosen according to the speed of ice growth to increase accurate cell killing.