USP36 plays an oncogenic role in colorectal cancer cells.

Cancer stem cells (CSCs) have emerged as crucial contributors to tumor relapse and chemoresistance, making them promising targets for treating cancers like colorectal cancer (CRC). However, the mechanisms governing CSC maintenance in CRC remain poorly characterized. In this study, we investigated the potential role of ubiquitin-specific protease 36 (USP36) in CRC. Our bioinformatic analysis revealed a significant upregulation of USP36 expression in CRC, and high USP36 levels were associated with poor prognosis in CRC patients. Furthermore, we observed an increase in USP36 expression in CRC cell lines. Knockdown of USP36 resulted in reduced viability, cell cycle arrest, increased apoptosis, and impaired migration and invasion in CRC cells. Additionally, the colony formation and sphere formation ability, as well as the expression of stem cell markers and pluripotent transcription factors, were substantially reduced in USP36-deficient CRC cells. These findings emphasize the role of USP36 as an oncogene in CRC, highlighting its potential as a therapeutic target for the treatment of CRC.

Do serum vitamin D levels affect assisted reproductive outcomes and perinatal outcomes in young non-PCOS patients? A retrospective study.

PURPOSE: This study aimed to determine the influence of serum vitamin D levels on assisted reproductive and perinatal outcomes in young non-polycystic ovary syndrome (PCOS) patients. METHODS: A total of 3397 non-PCOS women under 35 years who underwent their first IVF/ICSI cycle at the Reproductive Medicine Center of the Third Affiliated Hospital of Zhengzhou University, from 2018 to 2019, were included. The women were categorized into two groups based on their serum 25(OH)D concentrations: deficient group [25(OH)D < 50 nmol/L] and non-deficient group [25(OH)D ≥ 50 nmol/L]. Ovulation induction results, clinical pregnancy rate, cumulative live birth rate (CLBR), and perinatal outcomes of both groups were compared. RESULTS: A total of 1113 non-PCOS women had successful pregnancies in their first completed IVF cycle. Comparison of laboratory results between the two groups revealed a significantly higher number of oocytes retrieved in the vitamin D-non-deficient group (15.2 ± 6.8 vs. 14.5 ± 6.7, p = 0.015). After controlling for confounding factors, there was no significant difference in the CLBR between the vitamin D-deficient group and the non-deficient group (71.0%, 1,973/2,778 vs. 69.0%, 427/619, p = 0.314, unadjusted). The prevalence of gestational diabetes mellitus (GDM) was higher in the vitamin D-deficient group than in the vitamin D-non-deficient group in both fresh-cycle singleton live births (3.8% vs. 1.2%) and twin live births (2.3% vs. 1.5%). CONCLUSION: This study demonstrated that vitamin D-deficient group had a lower number of oocytes retrieved than the non-deficient group and a higher prevalence of GDM, suggesting that vitamin D deficiency impacts assisted pregnancies and perinatal outcomes in infertile non-PCOS women. However, further studies are required to confirm these findings.

Effect of age and sex on hematological and biochemical parameters in Chinese rhesus monkeys (Macaca mulatta) anesthetized with ketamine.

OBJECTIVE: Rhesus monkeys are increasingly used in biomedical research, which makes their hematological and biochemical parameters increasingly important in preclinical research. Since age and sex can influence blood parameters, establishing reference intervals for such parameters based on age and sex becomes along with identifying the effect of age and sex on those parameters. METHODS: A total of 1385 healthy Chinese rhesus monkeys (548 males and 837 females) anesthetized with ketamine were selected and segregated by age (six groups) and sex. A total of 21 hematological and 26 biochemical parameters were measured, and the effects of age and sex were analyzed. RESULTS: We established baseline indices for hematological and biochemical parameters based on age and sex, separately, and observed significant impacts of age, sex, and age-sex interactions on blood parameters. Among different age groups, significant differences were found in WBC, NEUT%, LYM%, EO%, LYM#, EO#, MCV, RDW-CV, PLT, MPV, PDW, PCT, TP, Alb, GLB, A/G, ALT, AST, ALP, TBIL, GGT, BUN, Cre, GLU, CK, TRIG, LDL, HCY, IL-6 FOL, Vit B12, VIT D-T, PTH, and AMH. Additionally, significant differences were observed in RBC, HGB, HCT, MPV, Alb, BUN, Cre, GLU, CHOL, TRIG, HDL, LDL, HCY, and VIT D-T between the two sexes. An age-sex interaction exerted a significant effect on WBC, NEUT#, MCV, MCHC, PDW, GLB, ALP, Cre, CHOL, TRIG, HDL, LDL, HCY, IL-6, Vit B12, VIT D-T. However, neither age, sex, and age-sex interactions exerted significant effects on MO%, MOMO#, MCH, RDW-SD, CRP, and CT. CONCLUSION: Our study investigated the blood parameters of rhesus monkeys to provide a reference basis for rhesus monkey-related scientific experimental research.

Analysis of cumulative live birth rate outcomes of three ovarian stimulation protocols in patients after laparoscopic cystectomy of ovarial endometrioma: a retrospective cohort study.

BACKGROUND: Previous studies have reported that after laparoscopic cystectomy of ovarial endometrioma, the ovarian response to gonadotropin (Gn) significantly decreased. However, for patients with diminished ovarian reserve (DOR) after ovarian surgery, how to choose the most appropriate controlled ovarian hyperstimulation protocol has not been concluded. Compared with the traditional agonist regimen, the gonadotropin (Gn)-releasing hormone (GnRH) antagonist, microstimulation, and progestin-primed ovarian stimulation (PPOS) protocols are simple to operate and have a shorter cycle, which are often used in patients with DOR. So the purpose of our study is to compare the assisted reproductive outcomes of these three controlled ovarian hyperstimulation protocols in patients with DOR following laparoscopic cystectomy of ovarial endometrioma. METHODS: In this retrospective cohort study, 89 patients with DOR who had undergone in vitro fertilisation/intracytoplasmic sperm injection at the Department of Reproductive Medicine at the Third Affiliated Hospital of Zhengzhou University from 1 to 2018 to 31 December 2020 were included. According to the controlled ovarian hyperstimulation protocols employed, the patients were divided into GnRH antagonist (38 patients), PPOS (27 patients), and microstimulation (24 patients) groups. The basic data and clinical outcomes of the three groups were compared. The main outcome measure was the cumulative live birth rate. RESULTS: No significant differences in the age of the female patients and their spouses and female patients' body mass index and basal endocrine levels (follicle-stimulating hormone and oestradiol) were noted among the three groups (P > 0.05). The GnRH antagonist group had higher antral follicle counts, greater endometrial thickness on the human chorionic Gn injection day, greater number of oocytes retrieved, and higher two pronuclear embryo counts than did the other two groups. However, the starting dosage of Gn was lower in the GnRH antagonist group than in the other two groups. The microstimulation group had a significantly higher oocyte output rate and high-quality embryo rate than did the other two groups (P < 0.05). No significant differences in the total dosage of Gn, cumulative pregnancy rate, cumulative live birth rate, viable embryo rate, and blastocyst formation rate were observed among the three groups (P > 0.05). CONCLUSION: In conclusion, for patients aged under 40 years who experienced DOR after laparoscopic cystectomy of ovarial endometrioma, GnRH antagonist protocol and PPOS protocol can obtain better ovulation induction outcomes and cumulative live birth rate than microstimulation protocol, and are more suitable ovulation induction protocols.

Decision Making in Kidney Paired Donation Programs with Altruistic Donors.

In recent years, kidney paired donation (KPD) has been extended to include living non-directed or altruistic donors, in which an altruistic donor donates to the candidate of an incompatible donor-candidate pair with the understanding that the donor in that pair will further donate to the candidate of a second pair, and so on; such a process continues and thus forms an altruistic donor-initiated chain. In this paper, we propose a novel strategy to sequentially allocate the altruistic donor (or bridge donor) so as to maximize the expected utility; analogous to the way a computer plays chess, the idea is to evaluate different allocations for each altruistic donor (or bridge donor) by looking several moves ahead in a derived look-ahead search tree. Simulation studies are provided to illustrate and evaluate our proposed method.

Analysis of assisted reproductive outcomes in patients with atypical endometrial hyperplasia and early-stage endometrial cancer after fertility-sparing treatment.

OBJECTIVE: To explore the assisted reproductive outcomes of patients with atypical endometrial hyperplasia (AEH) and early-stage endometrial cancer (EEC) who achieved complete remission after conservative treatment and to provide reference for clinical selection of appropriate conservative treatment. METHOD: This retrospective cohort study included seven patients with EEC and 62 patients with AEH who underwent in vitro fertilization or intracytoplasmic sperm injection at the Reproductive Center of the Third Affiliated Hospital of Zhengzhou University between August 2015 and October 2023. The authors divided the participants into two groups based on the type of fertility-sparing treatment received: the oral medication group and the levonorgestrel-releasing intrauterine system (LNG-IUS) group. The primary outcome was the cumulative clinical pregnancy rate. Secondary outcomes included clinical pregnancy rate per transfer cycle, embryo utilization rate, and high-quality embryo rate. RESULTS: The LNG-IUS group had a significantly higher rate of usable embryos compared with the oral medication group (80.8% vs 91.1%, P = 0.005) and also had a thinner endometrial thickness on the day of embryo transfer. The cumulative clinical pregnancy rate was higher in the LNG-IUS group compared with the medication group (46.7% vs 78.9%, P = 0.037), and the difference was statistically significant. CONCLUSION: For patients with AEH and EEC with fertility needs, the conservative treatment method of LNG-IUS can achieve better assisted reproductive outcomes.

Preparation of Natural Plant Polyphenol Catechin Film for Structural Coloration of Silk Fabrics.

Traditional textile dyeing uses chemical pigments and dyes, which consumes a large amount of water and causes serious environmental pollution. Structural color is an essential means of achieving green dyeing of textiles, and thin-film interference is one of the principles of structural coloring. In the assembly of structural color films, it is necessary to introduce dark materials to suppress light scattering and improve the brightness of the fabric. In this study, the conditions for the generation of nanofilms of catechin (CC) at the gas-liquid interface were successfully investigated. At the same time, environmentally friendly colored silk fabrics were novelly prepared using polycatechin (PCC) structural color films. In addition, it was found that various structural colors were obtained on the surface of silk fabrics by adjusting the time. Meanwhile, the color fastness of the structural colored fabrics was improved by introducing polyvinylpyrrolidone (PVP) to form a strong hydrogen bond between the fabric and catechin. PCC film is uniform and smooth, with a special double-layer structure, and can be attached to the surface of silk fabrics, giving the fabrics special structural colors. Through the thin-film interference formed between the visible light and the PCC film, the silk fabrics obtain bright, controllable, and uniform structural colors. This method is easy to operate and provides a new way of thinking for environmental-protection-oriented coloring of fabrics.

Enhancing Weakly Supervised Semantic Segmentation with Multi-label Contrastive Learning and LLM Features Guidance.

Histopathological whole-slide image (WSI) segmentation is essential for precise tissue characterization in medical diagnostics. However, traditional approaches require labor-intensive pixel-level annotations. To this end, we study weakly supervised semantic segmentation (WSSS) which uses patch-level classification labels, reducing annotation efforts significantly. However, the complexity of WSIs and the challenge of sparse classification labels hinder effective dense pixel predictions. Moreover, due to the multi-label nature of WSI, existingapproachesofsingle-labelcontrastivelearningdesignedfortherepresentationofsingle-category, neglecting the presence of other relevant categories and thus fail to adapt to WSI tasks. This paper presents a novel multilabel contrastive learning method for WSSS by incorporating class-specific embedding extraction with LLM features guidance. Specifically, we propose to obtain class-specific embeddings by utilizing classifier weights, followed by a dot-product-based attention fusion method that leverages LLM features to enrich their semantics, facilitating contrastive learning between different classes from single image. Besides, we propose a Robust Learning approach that leverages multi-layer features to evaluate the uncertainty of pseudo-labels, thereby mitigating the impact of noisy pseudo-labels on the learning process of segmentation. Extensive experiments have been conducted on two Histopathological image segmentation datasets, i.e. LUAD dataset and BCSS dataset, demonstrating the effectiveness of our methods with leading performance.

Evaluating hospital readmission rates in dialysis facilities; adjusting for hospital effects.

Motivated by the national evaluation of readmission rates among kidney dialysis facilities in the United States, we evaluate the impact of including discharging hospitals on the estimation of facility-level standardized readmission ratios (SRRs). The estimation of SRRs consists of two steps. First, we model the dependence of readmission events on facilities and patient-level characteristics, with or without an adjustment for discharging hospitals. Second, using results from the models, standardization is achieved by computing the ratio of the number of observed events to the number of expected events assuming a population norm and given the case-mix in that facility. A challenging aspect of our motivating example is that the number of parameters is very large and estimation of high-dimensional parameters is troublesome. To solve this problem, we propose a structured Newton-Raphson algorithm for a logistic fixed effects model and an approximate EM algorithm for the logistic mixed effects model. We consider a re-sampling and simulation technique to obtain p-values for the proposed measures. Finally, our method of identifying outlier facilities involves converting the observed p-values to Z-statistics and using the empirical null distribution, which accounts for overdispersion in the data. The finite-sample properties of proposed measures are examined through simulation studies. The methods developed are applied to national dialysis data. It is our great pleasure to present this paper in honor of Ross Prentice, who has been instrumental in the development of modern methods of modeling and analyzing life history and failure time data, and in the inventive applications of these methods to important national data problem.

DFTNet: Dual-Path Feature Transfer Network for Weakly Supervised Medical Image Segmentation.

Medical image segmentation has long suffered from the problem of expensive labels. Acquiring pixel-level annotations is time-consuming, labor-intensive, and relies on extensive expert knowledge. Bounding box annotations, in contrast, are relatively easy to acquire. Thus, in this paper, we explore to segment images through a novel Dual-path Feature Transfer design with only bounding box annotations. Specifically, a Target-aware Reconstructor is proposed to extract target-related features by reconstructing the pixels within the bounding box through the channel and spatial attention module. Then, a sliding Feature Fusion and Transfer Module (FFTM) fuses the extracted features from Reconstructor and transfers them to guide the Segmentor for segmentation. Finally, we present the Confidence Ranking Loss (CRLoss) which dynamically assigns weights to the loss of each pixel based on the network's confidence. CRLoss mitigates the impact of inaccurate pseudo-labels on performance. Extensive experiments demonstrate that our proposed model achieves state-of-the-art performance on the Medical Segmentation Decathlon (MSD) Brain Tumour and PROMISE12 datasets.

Weakly supervised object localization with soft guidance and channel erasing for auto labelling in autonomous driving systems.

Automated driving systems (ADSs) conceive an efficient and safe way of driving. The safety of ADSs depends on a precise object detector that needs to be upgraded continuously facing various environments. Massive annotations are required to utilize collected images of surroundings through vehicles and accommodate new environments. Auto labelling is one approach to alleviate such dilemma. To this end, we propose a novel Weakly Supervised Object Localization (WSOL) method which can localize objects precisely without detection annotations. This paper proposed Soft Guidance Module (SGM), Channel Erasing Module (CEM) and incorporate them into a multi-flow framework allowing the two mutually beneficial. Finally, experiments and visualizations are performed to evaluate our method on Stanford Cars, ILSVRC 2016 and CUB-200-2011 datasets.

Prefrontal cortex functional connectivity changes during verbal fluency test in adults with short-term insomnia disorder: a functional near-infrared spectroscopy study.

Background: Individuals suffering from short-term insomnia disorder (SID) experience difficulties in falling or staying asleep, often leading to daytime fatigue and impaired concentration. However, the underlying mechanisms of SID remain unclear. This study aims to investigate the alterations in brain activation patterns and functional connectivity in patients with SID. Methods: The study enrolled a total of 31 adults diagnosed with SID and 31 healthy controls (HC). Functional near-infrared spectroscopy (fNIRS) was utilized to assess the concentrations of oxyhemoglobin (Oxy-Hb) and functional connectivity in the prefrontal cortex of each participant while performing the verbal fluency test (VFT) task. Results: In the VFT task, no significant difference was found between the SID group and the HC group in terms of integral values, centroid values, and mean Oxy-Hb variations. These findings suggest that both groups exhibit similar hemodynamic responses. However, the functional connectivity analysis revealed significant differences in inter-channel connectivity strength between the two groups. The SID group showed significantly lower average inter-channel connectivity strength compared to the HC group. Moreover, six channel pairs (right frontopolar cortex - left frontopolar cortex, left orbitofrontal cortex - left temporopolar cortex, left temporopolar cortex - left frontopolar cortex, left frontopolar cortex-Ch38, left frontopolar cortex - right pre-motor and supplementary motor cortex, and left frontopolar cortex - right dorsolateral prefrontal cortex) exhibited significantly higher connectivity strength in the HC group compared to the SID group (FDR corrected, p < 0.05). Specifically, channel 27 exhibited the highest frequency of significant connectivity across different channel pairs, occurring five times in total. The channel pair Ch27-Ch39, representing left frontopolar cortex and right dorsolateral prefrontal cortex, exhibited a negative correlation with PSQI scores (r = -0.422, p = 0.018). Conclusion: Our findings suggest that patients with SID may exhibit altered brain connectivity during the VFT task, as measured by fNIRS. These results provide valuable insights into the functional brain differences associated with SID. Further research is needed to validate and expand upon these findings.

Optimization of Milk Substitutes for the Artificial Rearing of Chinese Tree Shrews (Tupaia belangeri chinensis).

The Chinese tree shrew (Tupaia belangeri chinensis) has the potential to replace the use of non-human primates in biomedical research. To increase the availability of this species, we have undertaken the ambitious task of establishing inbred lines of the Chinese tree shrew; however, we have been hindered by a low survival rate of inbred pups. Here, we report our artificial rearing (AR) of Chinese tree shrew pups using four different milk substitutes: the formula described by Tsang and Collins (milk TC) and three commercially available milk substitutes intended for possums (milk A and milk C) and for guinea pigs (milk B). We compared the effects of these milk substitutes and maternal milk on the daily milk consumption, growth performance, and survival of the pups. We also assessed the life span and reproductive performance of the F1 individuals given the best milk substitute as compared to the maternally reared (MR) pups. Milk B was found to be appropriate for AR. Pups fed with milk B had a high survival rate at the weaning age compared to those fed with the other milk substitutes. The AR pups fed with milk B had a life span similar to that of MR pups. AR females fed with milk B had an earlier age of the first reproduction, a larger number of litters, and a higher rate of survival of the offspring at the weaning age compared with the MR females. The successful optimization of a milk substitute for AR of Chinese tree shrew pups will undoubtedly facilitate the wide usage of this experimental animal.

Preparation of biomimetic non-iridescent structural color based on polystyrene-polycaffeic acid core-shell nanospheres.

Caffeic acid (CA), as a natural plant-derived polyphenol, has been widely used in surface coating technology in recent years due to its excellent properties. In this work, caffeic acid was introduced into the preparation of photonic band gap materials. By controlling the variables, a reasonable preparation method of polystyrene (PS) @polycaffeic (PCA)-Cu(ii) core-shell microspheres was achieved: 1 mmol L-1 cupric chloride anhydrous (CuCl2), 3 mmol L-1 sodium perborate tetrahydrate (NaBO3·4H2O), 2 mmol L-1 CA and 2 g L-1 polystyrene (PS) were reacted at 50 °C for 10 min to prepare PS@PCA-Cu(ii) core-shell microspheres through rapid oxidative polymerization of CA coated PS of different particle diameters. The amorphous photonic crystal structure was self-assembled through thermal assisted-gravity sedimentation, resulting in structural color nanomaterials with soft and uniform color, no angle dependence, stable mechanical fastness and excellent UV resistance.

Evaluation of Auto-Planning for Left-Side Breast Cancer After Breast-Conserving Surgery Based on Geometrical Relationship.

PURPOSE: This study aimed to evaluate (1) the performance of the Auto-Planning module embedded in the Pinnacle treatment planning system (TPS) with 30 left-side breast cancer plans and (2) the dose-distance correlations between dose-based patients and overlap volume histogram-based (OVH) patients. METHOD: A total of 30 patients with left-side breast cancer after breast-conserving surgery were enrolled in this study. The clinical manual-planning (MP) and the Auto-Planning (AP) plans were generated by Monaco and by the Auto-Planning module in Pinnacle respectively. The geometric information between organ at risk (OAR) and planning target volume (PTV) of each patient was described by the OVH. The AP and MP plans were ranked to compare with the geometry-based patients from OVH. The Pearson product-moment correlation coefficient (R) was used to describe the correlations between dose-based patients (APs and MPs) and geometry-based patients (OVH). Dosimetric differences between MP and AP plans were evaluated with statistical analysis. RESULT: The correlation coefficient (mean R = 0.71) indicated that the AP plans have a high correlation with geometry-based patients from OVH, whereas the correlation coefficient (mean R = 0.48) shows a weak correlation between MP plans and geometry-based patients. The dosimetric comparison revealed a statistically significant improvement in the ipsilateral lung V5Gy and V10Gy, and in the heart V5Gy of AP plans compared to MP plans, while statistical reduction was seen in PTV V107% for MP plans compared to AP plans. CONCLUSION: The overall results of AP plans were superior to MP plans. The dose distribution in AP plans was more consistent with the distance-dose relationship described by OVH. After eliminating the interference of human factors, the AP was able to provide more stable and objective plans for radiotherapy patients.

Detection and Prediction of Ovulation From Body Temperature Measured by an In-Ear Wearable Thermometer.

OBJECTIVE: We present a non-invasive wearable device for fertility monitoring and propose an effective and flexible statistical learning algorithm to detect and predict ovulation using data captured by this device. METHODS: The system consists of an earpiece, which measures the ear canal temperature every 5 min during night sleep hours, and a base station that transmits data to a smartphone application for analysis. We establish a data-cleaning protocol for data preprocessing and then fit a Hidden Markov Model (HMM) with two hidden states of high and low temperature to identify the more probable state of each time point via the predicted probabilities. Finally, a post-processing procedure is developed to incorporate biorhythm information to form a time-course biphasic profile for each subject. RESULTS: The performance of the proposed algorithms applied to data collected by the device are compared with traditional methods in terms of match rate with self-reported ovulation days confirmed with an ovulation test kit. Empirical study results from a group of 34 users yielded significant improvements over the traditional methods in terms of detection accuracy (with sensitivity 92.31%) and prediction power (23.07-31.55% higher). CONCLUSION: We demonstrated the feasibility for reliable ovulation detection and prediction with high-frequency temperature data collected by a non-invasive wearable device. SIGNIFICANCE: Traditional fertility monitoring methods are often either inaccurate or inconvenient. The wearable device and learning algorithm presented in this paper provide a user friendly and reliable platform for tracking ovulation, which may have a broad impact on both fertility research and real-world family planning.

A single amino acid defines cross-species reactivity of tree shrew (Tupaia belangeri) CD1d to human invariant natural killer T (iNKT) cells.

The non-classical major histocompatibility complex (MHC) class I molecule CD1d presents lipid antigens to invariant natural killer T (iNKT) cells, which are an important part of the innate immune system. CD1d/iNKT systems are highly conserved in evolution, and cross-species reactivity has been suggested to be a common feature of different animals based on research in humans and mice. However, we found that CD1d from the tree shrew (Tupaia belangeri), a close evolutionary relative of primates, failed to stimulate human iNKT cells, despite being more homologous to human CD1d than that of mouse. Sequence comparison and molecular modelling showed that two of the key amino acid residues in human CD1d proposed to be in direct contact with T-cell receptors were mutated in tree shrew CD1d. Substitution of one of the residues, but not the other, with the human residue enabled tree shrew CD1d to regain the ability to present lipid antigen to human iNKT cells. These results indicate that CD1d/iNKT recognition is species-specific, and that cross-species reactivity may be less common than currently proposed. Also, a naturally occurring CD1d mutation(s) that confers inability to stimulate iNKT cell function may have implications for future studies on CD1d/iNKT-associated diseases.

Filtration and dewatering of the mixture of quartz and kaolinite in different proportions.

Fine minerals, such as silicate and clay minerals are difficult to filtrate and dewater in mineral processing industry. In this study, quartz and kaolinite particles were mixed in different proportions to investigate the filtration and dewatering behavior difference. Combined with the calculation of DLVO theory, the particles size of quartz flocs, kaolinite flocs and the flocs of quartz and kaolinite mixture under pH of 7 and 11 were analyzed by focused beam reflectance measurement (FBRM). In addition, the structure of quartz/kaolinite flocs and the filter cake porosity were analyzed by 3D-high solution X-ray microanalyser (3D-XRM). The mixture of 80% quartz and 20% kaolinite had the maximum filtration velocity. The DLVO theoretical analyses show that the interaction between the aluminum-oxygen surface of kaolinite and silicon-oxygen surface of kaolinite/quartz particles is an attractive force at pH of 7, but repulsion force at pH of 11. The FBRM tests found that quartz and kaolinite tended to form relative larger agglomerates at pH of 7 when compared to a pH of 11. The results of 3D-XRM showed the kaolinite flocs were surrounded by amounts of quartz particles at pH of 7, which formed many quartz-kaolinite agglomerates, and therefore the porosity of the cake was increased for the water to easily pass through, which finally sped up the filtration process. However, quartz and kaolinite were evenly dispersed and had no obvious aggregates phenomenon at pH of 11, and the filtration velocity was slow because the kaolinite filled in the gap between quartz particles, which reduced the porosity of filter cake.

Filling of Nanocarbon Particles in the Pores of Unburned Carbon and Its Application in Gasification Ash Separation.

The nanocarbon particles and diesel are used as hydrophobic solid particles and the liquid phrase to produce the mixture collector for the flotation separation of unburned carbon (UC) particles from gasification ash. Scanning electron microscopy/energy-dispersive spectrometry and mercury porosimeter measures were used to prove the filling of nanocarbon particles in the pores of UC particles. Mercury porosimeter results illustrate that the pores of the UC particles after the action of the mixture of nanocarbon particles and diesel are reduced compared with that after the action of diesel. The number of >4000 nm pore was significantly reduced, and the number of <250 nm pore nearly disappeared. The results of the flotation tests found that the use of the mixture of nanocarbon particles and diesel as a collector resulted in not only increasing the concentrate yield but also reducing the ash of the concentrate. Throughout this investigation, the filling of nanocarbon particles in the UC holes/pores plays an important role in the enhancement of flotation recovery of UC particles. The filled pores in the UC particle surface can increase the contact area between bubbles and UC particles, thereby increasing the adhesion of bubble-particles, reducing the probability of particle detachment, and ultimately improving the flotation recovery of UC.