Readjustment of nodal staging by integrating tumor deposits and positive lymph nodes in patients with stage III colon cancer: a population-based analysis.

Whether tumor deposits (TDs) should be classified as lymph node metastasis or distant metastasis remains controversial. To address this predicament, we conducted this study to identify the predictive value of TDs on the survival of patients diagnosed with stage III colon cancer (CC). 12,904 eligible patients diagnosed with stage III CC between 2010 and 2015 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. The best cutoff point of TD quantity was determined based on the difference in survival. Cox proportional hazards model was employed to perform univariate and multivariate analyses. The Kaplan-Meier method and log-rank test were performed to calculate the differences between overall survival (OS). Our results showed that the number of TDs was a significant prognostic factor in patients with stage III CC (P < 0.0001). We added the number of TDs to the pN stage and devised a new pN stage, there were no significant differences in the survival of npN, except npN2a (P > 0.05). Upon re-staging to the same npN stage, the difference in survival between TDs+ and TDs- disappeared (P > 0.05). The median survival times for N2aTDs > 4 and N2bTDs > 4 were 33 and 37 months, respectively, which were significantly shorter than that of N2TDs- (65 months) and represented the worst survival rates among all groups. In conclusion, the number of TDs indicated a poor prognosis for patients with stage III CC. Incorporating TDs into the pN is feasible to predict prognosis.

Preliminary design for establishing compost maturity by using the spectral characteristics of five organic fertilizers.

The maturity of compost is involved in the availability of nutrients to crops and improvement of soil properties after fertilization. In the past, the determination of composts maturity mostly required analysis in the laboratory previously and it must consume a lot of time and cost. This study was conducted to use Fourier Transform Infrared (FTIR) spectroscopy and solid 13C Nuclear Magnetic Resonance (13C NMR) spectroscopy to understand the mature characteristics of five type of common composts. The FTIR analysis showed that all composts contained aromatic groups. In addition, the surface of five composts contained the functional groups including hydroxyl group, carboxyl group, amino group etc. However, these functional groups changed along with maturity degree. It is recognized that the aliphatic group located at 2930 cm-1 and 2850 cm-1 showed a decreasing peak, and amino acid at 1385 cm-1 was disappearing gradually due to the decomposition of organic matter by bacteria. There may be used to identify the maturity degree of composts. Increase of aromatic group at 1650 cm-1, carboxy (-COOH) and phenolic OH group at 1385 cm-1 may prove the full maturity of composts. 13C NMR analysis showed that five type of matured composts are mainly consisted with aliphatic groups and aromatic groups. The surfaces of the composts contained C-O bonds (ester, ethers, carbohydrate and other functional groups), COO- (carboxyl and ester carbons) and C=O bond (aldehydes and ketones). The strength of different absorptive characteristics of FTIR and 13C NMR may be a clue to identify the maturity of composts for the design of detective instruments in the future.

AI-Assisted Fusion of Scanning Electrochemical Microscopy Images Using Novel Soft Probe.

Scanning electrochemical microscopy (SECM) is one of the scanning probe techniques that has attracted considerable attention because of its ability to interrogate surface morphology or electrochemical reactivity. However, the quality of SECM images generally depends on the sizes of the electrodes and many uncontrollable factors. Furthermore, manipulating fragile glass ultramicroelectrodes and blurred images sometimes frustrate researchers. To overcome the challenges of modern SECM, we developed novel soft gold probes and then established the AI-assisted methodology for image fusion. A novel gold microelectrode probe with high softness was developed to scan fragile samples. The distribution of EGFR (protein biomarker) in oral cancer was investigated. Then, we fused the optical microscopic and SECM images to enhance the image quality using Matlab software. However, thousands of fused images were generated by changing the parameters for image fusion, which is annoying for researchers. Thus, a deep learning model was built to select the best-fused images according to the contrast and clarity of the fused images. Therefore, the quality of the SECM images was improved using a novel soft probe and combining the image fusion technique. In the future, a new scanning probe with AI-assisted fused SECM image processing may be interpreted more preciously and contribute to the early detection of cancers.

200-GHz and 50-GHz AWG channelized linewidth dependent transmission of weak-resonant-cavity FPLD injection-locked by spectrally sliced ASE.

In a weak-resonant-cavity Fabry-Perot laser diode (WRC-FPLD) based DWDM-PON system with an array-waveguide-grating (AWG) channelized amplified spontaneous emission (ASE) source located at remote node, we study the effect of AWG filter bandwidth on the transmission performances of the 1.25-Gbit/s directly modulated WRC-FPLD transmitter under the AWG channelized ASE injection-locking. With AWG filters of two different channel spacings at 50 and 200 GHz, several characteristic parameters such as interfered reflection, relatively intensity noise, crosstalk reduction, side-mode-suppressing ratio and power penalty of BER effect of the WRC-FPLD transmitted data are compared. The 200-GHz AWG filtered ASE injection minimizes the noises of WRC-FPLD based ONU transmitter, improving the power penalty of upstream data by -1.6 dB at BER of 10(-12). In contrast, the 50-GHz AWG channelized ASE injection fails to promote better BER but increases the power penalty by + 1.5 dB under back-to-back transmission. A theoretical modeling elucidates that the BER degradation up to 4 orders of magnitude between two injection cases is mainly attributed to the reduction on ASE injection linewidth, since which concurrently degrades the signal-to-noise and extinction ratios of the transmitted data stream.