An improved lightweight high-resolution network based on multi-dimensional weighting for human pose estimation.

Human pose estimation is one of the key technologies in action recognition, motion analysis, human-computer interaction, animation generation etc. How to improve its performance has become a current research hotspot. Lite-HRNet establishes long range connections between keypoints and exhibits good performance in human pose estimation tasks. However, the scale of this method to extract features is relatively single and lacks sufficient information interaction channels. To solve this problem, we propose an improved lightweight high-resolution network based on multi-dimensional weighting, named MDW-HRNet, which is implemented by the following aspects: first, we propose global context modeling, which can learn multi-channel and multi-scale resolution information weights. Second, a cross-channel dynamic convolution module is designed, it performs inter-channel attention aggregation between dynamic and parallel kernels, replacing the basic convolution module. These make the network capable of channel weighting, spatial weighting and convolution weighting. At the same time, we simplify the network structure to perform information exchange and information compensation between high-resolution modules while ensuring speed and accuracy. Experimental results show that our method achieves good performance on both COCO and MPII human pose estimation datasets, and its accuracy surpasses mainstream lightweight pose estimation networks without increasing computational complexity.

1,2,3-Triazole-containing hybrids as potential anticancer agents: Current developments, action mechanisms and structure-activity relationships.

Anticancer agents are critical for the cancer treatment, but side effects and the drug resistance associated with the currently used anticancer agents create an urgent need to explore novel drugs with low side effects and high efficacy. 1,2,3-Triazole is privileged building block in the discovery of new anticancer agents, and some of its derivatives have already been applied in clinics or under clinical trials for fighting against cancers. Hybrid molecules occupy an important position in cancer control, and hybridization of 1,2,3-triazole framework with other anticancer pharmacophores may provide valuable therapeutic intervention for the treatment of cancer, especially drug-resistant cancer. This review emphasizes the recent advances in 1,2,3-triazole-containing hybrids with anticancer potential, covering articles published between 2015 and 2019, and the structure-activity relationships, together with mechanisms of action are also discussed.

Fluoroquinolone-isatin hybrids and their biological activities.

Hybridization of different pharmacophores from various bioactive substances into a single molecule is the potential weapon to prevent the drug resistance since this strategy can provide new leads with complimentary activities and/or multiple pharmacological targets. Fluoroquinolone and isatin are common pharmacophores, and their derivatives possess various biological activities. Obviously, hybridization of these two pharmacophores into one molecule may result in novel candidates with broader spectrum, higher efficiency, lower toxicity as well as multiple mechanisms of action. Therefore, fluoroquinolone-isatin hybrids have the potential for clinical deployment in the control and eradication of various diseases. This review covers the recent advances of fluoroquinolone-isatin hybrids as potential anti-bacterial, anti-tubercular, anti-viral and anti-cancer agents. The structure-activity relationship is also discussed to pave the way for the further rational development of this kind of hybrids.

[Predictive factors for bone metastases of prostate cancer].

OBJECTIVE: To investigate the correlation between a diverse of clinical factors and bone metastases of prostate cancer. METHODS: The clinical data of 80 patients with prostate cancer were collected and analyzed. The correlations of age, alkaline phosphotase (ALP), prostate specific antigen (PSA), erythrocyte sedimentation rate (ESR), Gleason score, and expressions of androgen receptor (AR) and Ki-67 with bone metastases were analyzed by one-way ANOVA and Logistic regression analysis. The cutoff value, sensitivity and specificity of the independent correlation factors were calculated. RESULTS: Forty-five of the 80 patients (56%) were found to have bone metastasis, who had significantly older age and higher levels of ALP, PSA, ESR, Gleason score, and expressions of AR and Ki-67 than those without bone metastasis (P<0.05). Logistic regression analysis identified PSA, Gleason score and AR expression as independent factors correlated with bone metastasis with OR (95% CI) of 1.005 (1.001, 1.009) (P=0.008), 5.356 (1.431, 20.039) (P=0.013), and 18.594 (2.460, 140.524) (P=0.005), respectively. The cutoff values of PSA, Gleason Score and AR were 67.1 ng/ml, 7.5, and 2.5, respectively; their sensitivities were 55.6%, 75.6%, and 84.0% for predicting bone metastasis with specificities of 97.1%, 82.9%, and 91.4%, respectively. CONCLUSION: Of the factors analyzed, PSA, Gleason score and AR expression, but not age, ALP, PSA, ESR, or Ki-67 expression, are the predictive factors of bone metastasis of prostate cancer.

[Factors affecting formation of THMs during dissolved organic nitrogen acetamide chlorination in drinking water].

Chlorination disinfection greatly reduced bacteria and virus in drinking water. However, there is an unintended consequence of disinfection, the generation of chemical disinfection by-products (DBPs). Dissolved organic nitrogen (DON) as the important precursor of DBPs is of current concern. As acetamide (AcAm) occur in important bimolecular, we studied formation pathways for THMs during chlorination of model AcAm. The experiments are designed by Plackett-Burman and Box-Behnken methods. Factors affecting formation of THMs such as AcAm initial concentration, chlorine dosage, pH, temperature, Br(-) concentration and contact time were investigated. The results indicate that AcAm initial concentration, pH and temperature have little effects on formation of THMs. On the contrary, three other factors have important effects on formation of THMs, especially Br(-) concentration. The capacity of THMs generation varies very little when Br(-) has a constant concentration. Generation amount of THMs attach maximum under the condition that dosage of active chlorine, Br(-) concentration and contact time is 8.77 mg/L, 0.77 mg/L and 6.20 h respectively. Bromine ion plays a catalysis role on THMs formation. Controlling the concentration of bromine ion can reduce total generation amount of THMs via AcAm. Bromine partition coefficient tends to increasing along with contact time lapse. Controlling chlorination reaction time can lower the cancer risk. At last, the pathway is proposed for THMs formation via AcAm, and the catalysis mechanism of Br(-) was addressed.