Improvement on PDP Evaluation Performance Based on Neural Networks and SGDK-means Algorithm

With the purpose of improving the PDP (policy decision point) evaluation performance, a novel and efficient evaluation engine, namely XDNNEngine, based on neural networks and an SGDK-means (stochastic gradient descent K-means) algorithm is proposed. We divide a policy set into different clusters, distinguish different rules based on their own features and label them for the training of neural networks by using the K-means algorithm and an asynchronous SGDK-means algorithm. Then, we utilize neural networks to search for the applicable rule. A quantitative neural network is introduced to reduce a server’s computational cost. By simulating the arrival of requests, XDNNEngine is compared with the Sun PDP, XEngine and SBA-XACML. Experimental results show that 1) if the number of requests reaches 10,000, the evaluation time of XDNNEngine on the large-scale policy set with 10,000 rules is approximately 2.5 ms, and 2) in the same condition as 1), the evaluation time of XDNNEngine is reduced by 98.27%, 90.36% and 84.69%, respectively, over that of the Sun PDP, XEngine and SBA-XACML

Tensile flow stress of non-oriented Fe-3.3%Si steel at a wide range of moderate temperatures

The flow stress behavior of hot-rolled Fe-3.3%Si steel was studied through single-pass warm tensile experiments within the temperature range of 250 to 700 °C and strain rate range of 0.001 s-1 to 0.1 s-1. The peak stress decreased linearly, but the elongation increased exponentially, with an increase in temperature. Work hardening behavior was obvious, and the non-uniform plastic deformation stage was shorter at lower temperatures, and accordingly the grains were elongated. A novel method was proposed to describe the tensile flow stress of Fe-3.3%Si steel at wide moderate temperatures, and the flow behavior of Fe-3.3%Si was described as the function of temperature, strain and strain rate. The capability of the model to predict tensile flow stress was investigated and the predicted results were in good agreement with measured values. Therefore, the model is reliable and helpful for the optimization of deformation parameters in warm processing

The correlation between the plasma concentration of gemcitabine and short-term efficacy and adverse reactions in patients with advanced squamous cell carcinoma of the lung using liquid chromatography-mass spectrometry

AbstractBackground: Worldwide, non-small cell lung cancers have the highest incidence and mortality rates of all cancers. Gemcitabine (2’,2’-difluoro-2’-deoxycytidine or dFdC, C9H11F2N304) is widely used as the first-line chemo-reagent for lung cancer patients whose tumors have been diagnosed to be at an advanced stage and are therefore unresectable. Objective: The objective of this systematic study was to establish the correlation between the plasma concentration of gemcitabine and short-term clinical efficacy and adverse reactions in patients with advanced squamous cell carcinoma of the lung using liquid chromatography-mass spectrometry. Material and methods: In total, 53 patients were given the chemotherapy medications, gemcitabine and cisplatin, every 3 weeks. Plasma concentrations of gemcitabine were determined using liquid chromatography-mass spectrometry. A modified methodology of the liquid chromatography-mass spectrometry system was verified and performed to detect plasma concentrations of gemcitabine. The clinical endpoints – short-term clinical efficacy and adverse reactions – were evaluated after two cycles. Results: The plasma concentration range of gemcitabine in 53 patients was 1.58-28.70μg/ml (mean 14.37±8.63μg/ml), with 28 patients in the >15μg/ml group (mean 21.76±3.45μg/ml), and 25 patients in the ≤15μg/ml group (mean 6.09±3.57μg/ml). The clinical benefit rate (CBR) of the >15μg/ml group was significantly higher than that of the 15μg/ml group (p<0.05). The incidences of leukopenia and neutropenia, thrombocytopenia and grade III-IV gastrointestinal reactions in the >15μg/ml group were significantly higher than in the ≤15μg/ml group (p<0.05). There was no statistical difference between the two groups in terms of the incidences of reduced hemoglobin, liver and kidney function damage, allergic reaction and rash (p>0.05). The analysis of the plasma concentration of gemcitabine and the percentage of reduction in neutrophil count (NEUT) (r2 = 0.3212; p<0.05) and platelet (PLT) (r2 = 0.6439; p<0.05) showed a significant positive correlation. Conclusions: In patients with advanced non-small cell lung cancer, a high plasma concentration of gemcitabine can improve the short-term clinical efficacy of treatment, but increase the incidence of grade III-IV adverse reactions. [Ethiop. J. Health Dev. 2021; 35(1):72-82] Key words: Non-small cell lung cancer, gemcitabine, plasma concentration, short-term efficacy, adverse reaction

Ultrasound Image Segmentation of Thyroid Nodule via Latent Semantic Feature Co-Registration

Segmentation of nodules in thyroid ultrasound imaging plays a crucial role in the detection and treatment of thyroid cancer. However, owing to the diversity of scanner vendors and imaging protocols in different hospitals, the automatic segmentation model, which has already demonstrated expert-level accuracy in the field of medical image segmentation, finds its accuracy reduced as the result of its weak generalization performance when being applied in clinically realistic environments. To address this issue, the present paper proposes ASTN, a framework for thyroid nodule segmentation achieved through a new type co-registration network. By extracting latent semantic information from the atlas and target images and utilizing in-depth features to accomplish the co-registration of nodules in thyroid ultrasound images, this framework can ensure the integrity of anatomical structure and reduce the impact on segmentation as the result of overall differences in image caused by different devices. In addition, this paper also provides an atlas selection algorithm to mitigate the difficulty of co-registration. As shown by the evaluation results collected from the datasets of different devices, thanks to the method we proposed, the model generalization has been greatly improved while maintaining a high level of segmentation accuracy

Pharmacological Effects of Two Novel Bombesin-Like Peptides from the Skin Secretions of Chinese Piebald Odorous Frog (Odorrana schmackeri) and European Edible Frog (Pelophylax kl. esculentus) on Smooth Muscle

Bombesin-like peptides, which were identified from a diversity of amphibian skin secretions, have been demonstrated to possess several biological functions such as stimulation of smooth muscle contraction and regulation of food intake. Here, we report two novel bombesin-like peptides, bombesin-OS and bombesin-PE, which were isolated from Odorrana schmackeri and Pelophylax kl. esculentus, respectively. The mature peptides were identified and structurally confirmed by high performance Scliquid chromatography (HPLC) and tandem mass spectrometry (MS/MS). Subsequently, the effects of these purified chemically-synthetic peptides on smooth muscle were determined in bladder, uterus, and ileum. The synthetic replications were revealed to have significant pharmacological effects on these tissues. The EC50 values of bombesin-OS for bladder, uterus and ileum, were 10.8 nM, 33.64 nM, and 12.29 nM, respectively. Furthermore, compared with bombesin-OS, bombesin-PE showed similar contractile activity on ileum smooth muscle and uterus smooth muscle, but had a higher potency on bladder smooth muscle. The EC50 value of bombesin-OS for bladder was around 1000-fold less than that of bombesin-PE. This suggests that bombesin-OS and bombesin-PE have unique binding properties to their receptors. The precursor of bombesin-OS was homologous with that of a bombesin-like peptide, odorranain-BLP-5, and bombesin-PE belongs to the ranatensin subfamily. We identified the structure of bombesin-OS and bombesin-PE, two homologues peptides whose actions may provide a further clue in the classification of ranid frogs, also in the provision of new drugs for human health

Economic Evaluation of Treating Herpes Zoster with Various Methods of Acupuncture and Moxibustion

AbstractObjectiveTo analyze the cost effect of surrounding acupuncture plus electric acupuncture, cotton-sheet moxibustion, puncturing with red-hot needles, tapping plus cupping on herpes zoster.MethodsFive hundred patients with herpes zoster were randomly divided into group A (surrounding acupuncture plus electric acupuncture), group B (cotton-sheet moxibustion), group C (puncturing with red-hot needles), group D (tapping plus cupping), and group E (Western medicine). The treatment was carried out twice a day in group E and once a day in the other four groups. The curative effect was observed on the 10th day of treatment; the cost was calculated for the five therapies, and the cost-effect ratio (C/E) and increment ratio (ΔC/ΔE) were analyzed.ResultsAfter the 10-day treatment, there was no statistical difference (P>0.05) in the curative effect among the five groups. Pain being alleviated one day faster than in group E amounted to a saving of RMB 21.90 yuan in group A, a saving of RMB 21.87 yuan in group B, a saving of RMB 26.00 yuan in group C, and a saving of RMB 20.23 yuan in group D. Compared with group C, the values of ΔC/ΔE were RMB 1.55, 2.81, and 0.21 yuan in groups A, B, and D, respectively.ConclusionsThe curative effect in groups A, B, C, and D was similar to that in group E, but the C/E was better than in group E

Identification of quality markers of Xiaojin Pills using a combination of high-performance liquid chromatographtandem mass spectrometry and multivariate analysis

Purpose: To establish an appropriate quality control method for Xiaojin pills using high-performance liquid chromatograph-tandem mass spectrometry combined with multivariate analysis.Methods: High-performance liquid chromatograph-tandem mass spectrometry was established to detect and quantify 13 chemical components of Xiaojin Pills. In order to evaluate the quality difference between diverse specimens of Xiaojin Pills, several multivariate statistical techniques were applied to analyze the dissimilarity between different batches of samples, including principal composition analysis method and clustering methodology.Results: Five chemical components were identified as primary quality markers, which can be used to accurately distinguish various samples and command the quality of Xiaojin Pills.Conclusion: The results afford a professionally scientific basis for the quality monitoring of Xiaojin Pills and also furnishes reasonable ideas and suggestions for the quality control of other traditional drugs.Keywords: Xiaojin Pills, HPLC-MS/MS, Quality control, Chemometrics, Quality marker