Photosensitive Dye as an Ideal Peroxymonosulfate Activator for Efficient Self-Degradation: A Novel Idea of Using Waste to Treat Waste.

Commonly used peroxydisulfate (PS) or peroxymonosulfate (PMS) activation methods have been limited in their practical application due to certain drawbacks, such as high cost, high energy consumption and secondary pollution. In this study, a catalyst-free alizarin green (AG) self-activating PMS catalytic system was constructed based on photosensitization properties of dye, which ultimately achieved efficient degradation of the dye activator, also the target pollutant. Here, 52.5% of the 100 mL mixture of 10 mg/L AG decomposed within 60 min with 1 mM PMS under visible-light irradiation, thereby showing a strong pH adaptation. Mechanism of AG self-activating PMS was revealed that the photo-excited AG can effectively transfer photo-induced electrons to PMS for its activation, which generates reactive oxidizing species dominated by singlet oxygen (1O2), and supplemented by hydroxyl radical (•OH), superoxide radical (O2•-) and sulfate radical (SO4•-) to realize the efficient self-degradation of the dye pollutants. Moreover, such self-catalytic system operated well under natural sunlight irradiation, indicating the great application potential in the actual wastewater treatment. Herein, photosensitive dye acted as an ideal PMS activator realizing its efficient self-degradation, which provides a novel idea of "using waste to treat waste" for developing wastewater treatment process in a high-efficiency and low-consumption way.

Polymer-flooding produced water treatment using an electro-hybrid ozonation-coagulation system with novel cathode membranes targeting alternating filtration and in situ self-cleaning.

Polymer-flooding produced water is more difficult to treat for reinjection compared with normal produced water because of the presence of residual hydrolyzed polyacrylamide (HPAM). A novel cathode membrane integrated electro-hybrid ozonation-coagulation (CM-E-HOC) process was proposed for the treatment of polymer-flooding produced water. This process achieved in situ self-cleaning by generated microbubbles in the cathode membrane. The CM-E-HOC process achieved a higher suspended solid (SS), turbidity and PAM removal efficiency than the CM-EC process. The SS in the CM-E-HOC effluent was ≤ 20 mg/L SS, which met the reinjection requirements of Longdong, Changqing Oilfield, China (Q/SYCQ 08,011-2019) at different current densities (3, 5 and 10 mA/cm2). The CM-E-HOC process greatly mitigated both reversible and irreversible membrane fouling. Therefore, excellent flux recovery was obtained at different in situ self-cleaning intervals during the CM-E-HOC process. Furthermore, alternating filtration achieved continuous water production during the CM-E-HOC process. On one hand, the effective removal of aromatic protein-like substances and an increase in oxygen-containing functional groups were achieved due to the enhanced oxidation ability of the CM-E-HOC process, which decreased membrane fouling. On the other hand, the CM-E-HOC process showed improved coagulation performance because of the increased oxygen-containing functional groups and polymeric Fe species. Therefore, larger flocs with higher fractal dimensions were generated, and a looser and more porous cake layer was formed on the membrane surface during the CM-E-HOC process. Consequently, the CM-E-HOC process exhibited better in situ self-cleaning performance and lower filtration resistance than the CM-EC process.

MGEL: Multigrained Representation Analysis and Ensemble Learning for Text Moderation.

In this work, we describe our efforts in addressing two typical challenges involved in the popular text classification methods when they are applied to text moderation: the representation of multibyte characters and word obfuscations. Specifically, a multihot byte-level scheme is developed to significantly reduce the dimension of one-hot character-level encoding caused by the multiplicity of instance-scarce non-ASCII characters. In addition, we introduce a simple yet effective weighting approach for fusing n-gram features to empower the classical logistic regression. Surprisingly, it outperforms well-tuned representative neural networks greatly. As a continual effort toward text moderation, we endeavor to analyze the current state-of-the-art (SOTA) algorithm bidirectional encoder representations from transformers (BERT), which works well in context understanding but performs poorly on intentional word obfuscations. To resolve this crux, we then develop an enhanced variant and remedy this drawback by integrating byte and character decomposition. It advances the SOTA performance on the largest abusive language datasets as demonstrated by our comprehensive experiments. Our work offers a feasible and effective framework to tackle word obfuscations.

LncRNA SNHG12 Promotes Osteoarthritis Progression Through Targeted Down-Regulation of miR-16-5p.

BACKGROUND: In accordance with increasing studies, long non-coding RNAs (LncRNAs) act pivotally in the occurrence as well as development of several human diseases. But how lncRNA SNHG12 acts in osteoarthritis (OA) is still not clear. METHODS: We applied CCK-8 to determine cell viability, along with qRT-PCR to detect mRNA expression. Using luciferase reporter experiment, our team detected the binding relationship between lncRNA SNHG12 along with miR-16-5p. RESULTS: The inflammatory factor IL-1ß induced chondrocytes to express lncRNA SNHG12, and lncRNA SNHG12 expression was up-regulated in OA tissues. Additionally, our personnel proved that IL-1ß inhibited miR-16-5p expression in chondrocytes, which in OA tissues was lower than that in normal tissues. miR-16-5p expression level in the OA patients' tissue was negatively correlated with lncRNA SNHG12 expression. The high-expression lncRNA SNHG12 inhibits chondrocyte proliferation, promoting apoptosis and inflammation as well as extracellular matrix (ECM) degradation. These effects can be reversed by co-transfecting miR-16-5p mimic. In addition, our work revealed that miR-16-5p is a target of lncRNA SNHG12. CONCLUSIONS: lncRNA SNHG12 regulates OA development by inhibiting miR-16-5p expression in chondrocytes. We believe that the lncRNA SNHG12/miR-16-5p axis might be a potential therapeutic and diagnostic target for OA.

MiRNA-483-5p is involved in the pathogenesis of osteoporosis by promoting osteoclast differentiation.

AIMS: The study aimed to investigate the roles of miR-483-5p and IGF2 in osteoclast formation. METHODS: Blood and bone tissues were collected from osteoporosis and non-osteoporosis patients with hip fractures for gene expression analysis. CD14 + peripheral blood mononuclear cells (PBMCs) were isolated for differentiating osteoclasts. MiR-483-5p mimic and inhibitor was transfected into CD14 + PBMCs, respectively. Predicted by TargetScan and verified by Dual-luciferase reporter assay system, insulin-like growth factor-2 (IGF2) could be targeted by miR-483-5p. IGF2 expression vector was co-transfected with miR-483-5p mimic to study the role of IGF2 in miR-483-5p affecting osteoclast differentiation. Flow cytometry was performed for cell apoptosis analysis. RESULTS: High-expressed miR-483-5p and low-expressed IGF2 were frequently found in the serums and bone tissues derived from osteoporotic patients. We found that up-regulation of miR-483-5p in CD14 + PBMCs notably increased the number of TRAP-positive cells, at the same time, the expression levels of TRAP, nuclear factor of activated T-cells (NFATc1), cytoplasmic 1 (NFAT2) and Cathepsin K (CTSK) were also up-regulated. However, overexpressed IGF2 effectively reversed such effects produced by up-regulation of miR-483-5p on osteoclastogenesis-related factors in CD14 + PBMCs. Moreover, forced expression of IGF2 could also enhance apoptosis of osteoclasts reduced by miR-483-5p. CONCLUSIONS: Our study suggests that miRNA-483-5p is involved in the pathogenesis of osteoporosis by promoting osteoclast differentiation.