Intelligent fault classification of rolling bearings using neural network and discrete wavelet transform

This paper is about diagnosis and classification of bearing faults using Neural Networks (NN), employing nondestructive tests. Vibration signals are acquired by a bearing test machine. The acquired signals are preprocessed using discrete wavelet analysis. Standard deviation of discrete wavelet coefficient is chosen as the distinguishing feature of the faults. This feature vector is given to the design network as inputs. The input vector is normalized prior to be applied to neural network. There are four output neurons each of which corresponds to: 1) bearing with inner race fault, 2) bearing with outer race fault, 3) bearing with ball defect, and 4) normal bearing. The structure of NN is 6:20:4 and with 99 % performance

Geotechnical behaviour of the carbonate sand-granulated tire mixture

149-155Carbonate sand-tire mixture is used in this research as a soil improvement method to address the environmental problems regarding the accumulation of scrap tires in coastal areas. The stress-strain behaviour, internal friction angle, and the particle breakage of the carbonate sand-tire mixture are studied, and the results are compared to that of pure carbonate sand. The results revealed that the addition of the granulated tires to the carbonate sand changed its behaviour. The addition of granulated tires resulted in a decrease of both the friction angle and the quantity of particle breakage

Intelligent fault classification of rolling bearings using neural network and discrete wavelet transform

This paper is about diagnosis and classification of bearing faults using Neural Networks (NN), employing nondestructive tests. Vibration signals are acquired by a bearing test machine. The acquired signals are preprocessed using discrete wavelet analysis. Standard deviation of discrete wavelet coefficient is chosen as the distinguishing feature of the faults. This feature vector is given to the design network as inputs. The input vector is normalized prior to be applied to neural network. There are four output neurons each of which corresponds to: 1) bearing with inner race fault, 2) bearing with outer race fault, 3) bearing with ball defect, and 4) normal bearing. The structure of NN is 6:20:4 and with 99 % performance

A hybrid statistical decision-making optimization approach for groundwater vulnerability considering uncertainty

publishedVersio

Geotechnical behaviour of the carbonate sand-granulated tire mixture

Carbonate sand-tire mixture is used in this research as a soil improvement method to address the environmental problems regarding the accumulation of scrap tires in coastal areas. The stress-strain behaviour, internal friction angle, and the particle breakage of the carbonate sand-tire mixture are studied, and the results are compared to that of pure carbonate sand. The results revealed that the addition of the granulated tires to the carbonate sand changed its behaviour. The addition of granulated tires resulted in a decrease of both the friction angle and the quantity of particle breakage

Identification and Biological Characterization of the Pyrazolo[3,4-d]pyrimidine Derivative SI388 Active as Src Inhibitor

Src is a non-receptor tyrosine kinase (TK) whose involvement in cancer, including glioblastoma (GBM), has been extensively demonstrated. In this context, we started from our in-house library of pyrazolo[3,4-d]pyrimidines that are active as Src and/or Bcr-Abl TK inhibitors and performed a lead optimization study to discover a new generation derivative that is suitable for Src kinase targeting. We synthesized a library of 19 compounds, 2a-s. Among these, compound 2a (SI388) was identified as the most potent Src inhibitor. Based on the cell-free results, we investigated the effect of SI388 in 2D and 3D GBM cellular models. Interestingly, SI388 significantly inhibits Src kinase, and therefore affects cell viability, tumorigenicity and enhances cancer cell sensitivity to ionizing radiation

Effects of perioperative use of two doses of magnesium sulfate infusion on intraoperative blood loss in patients undergoing lumbar spinal fusion surgery

Objective: In general, spinal fusion surgery causes heavy bleeding. The purpose of this study was to evaluate the use of two different doses of magnesium sulfate to control the bleeding in lumbar fusion surgery. Methods: This study was carried out as a randomized double-blinded clinical trial in 2020 in Al-Zahra hospital in Isfahan. The participants were 60 patients selected using inclusion and exclusion criteria and were randomly allocated into three groups. In the first group, 50 mg/kg and in the second group, 40 mg/kg magnesium sulfate was infused. The third group received normal saline. From the beginning of anesthesia, heart rate, diastolic and systolic blood pressure, respiratory rate and blood oxygen saturation percentage were monitored and logged every 30 minutes during the operation and recovery. The volume of bleeding during the operation was calculated by counting the number of gauzes used and the amount of suctioned blood during the operation. Other required information such as the duration of operation, duration of anesthesia, time of intubation and the time period of hospitalization and recovery were determined and recorded in all patients. We used independent t-test and repeated measure ANOVA tests to compare data between different time lines and also different groups. P value<0.05 was considered as significance threshold. The collected data were analyzed by using SPSS software version 23. Results: The group receiving 50 mg/kg magnesium sulfate had a significantly lower systolic blood pressure compared to other groups within 15, 30 and 45 minutes after the injections (P=0.04 for all). The pulse rate was significantly lower in the 50 mg/kg magnesium sulfate group compared to other groups within 15, 30 and 45 minutes after the injections (P<0.05 for all). Patients that received 50 mg/kg magnesium sulfate had a lower duration of surgery (P=0.007), lower duration of anesthesia (P=0.007), lower bleeding volume (P<0.001), lower fluid intake (P=0.01) and also lower transfused blood (P=0.01). The surgeons also had a significantly higher satisfaction with these patients (P=0.001). Conclusion: Injection of 50 mg/kg magnesium sulfate had a correlation with reduced blood pressure as well as bleeding volume compared to 40 mg/kg magnesium sulfate

Association of vitamin D deficiency and premature coronary artery disease

Background: Evidence suggests hypovitaminosis D is associated with increased risk of coronary artery disease (CAD) and its extent and related risk factors. However, some investigations have produced contrary results. Therefore, we aimed to evaluate the association between serum vitamin D levels and the severity of premature coronary artery involvement. Methods: This randomized prospective, case-control study was conducted in Babol from April 2013 to June 2017. We collected the demographic data and measured serum 25-OH-D levels of 294 patients (age&#8804;50 years) diagnosed with CAD with coronary angiography as case group as well as 438 age and sex-matched controls. CAD severity was assessed using the Gensini score. Statistical analyses were used to assess the associations and p&#60;0.05 was considered as significant. Results: The mean serum level of 25-OH-D was 13.12&#177;11.13 and 18.28&#177;8.34 in case and control groups, respectively (P=0.036). In the case group, mean serum vitamin D levels were significantly lower among hypertensives (P=0.018), those with a family history of CVD (P=0.016) and those who used aspirin (P=0.036). The mean Gensini score of patients in the case group was 45.02&#177;23.62 and was higher among men (P=0.022). There was a weak significant correlation between the serum vitamin D levels and the Gensini score (P=0.001 &#38; R=-0.543). The mean Gensini score was not significantly different between patients with deficient (47.02&#177;22.78), insufficient (26.0&#177;21.72) and sufficient (39.0&#177;43.84) vitamin D levels (P&#62;0.05). Conclusion: The results showed that the lower levels of vitamin D is associated with increased risk and extent of coronary artery involvement as well as some of the risk factors of CAD, including male gender, hypertension and positive family history for CVD

Evaluation of Morphology and Anatomical Measurement of Nasopalatine Canal Using Cone Beam Computed Tomography

Objectives: Precise radiographic assessment of the nasopalatine canal is required to prevent implant failure. The purpose of the current study was to determine the three dimensional (3D) morphology, as well as the dimensions of the nasopalatine canal using cone beam computed tomography (CBCT). Materials and Methods: In this descriptive cross-sectional study, maxillary CBCT images from 300 patients (150 men, 150 women) were retrospectively evaluated. Sagittal and coronal views were reviewed to determine the nasopalatine canal morphology and dimensions. The difference in canal dimensions between men and women was evaluated using the Student’s t-test while the difference in canal morphology between the two sexes was assessed using Chi-square test. Results: A total of 199 (66.3%) patients had type A canal (cylindrical without a branch), 69 (23%) had type B canal (a canal with a branch in the upper part), and 32 (10.7 %) had type C canal (a canal with a branch in the middle part). Incisive foramen diameter was 4.7±1.11mm on the sagittal section. Alveolar bone width in the anterior part of the canal was 12.3±1.7mm in the upper one third, 10.7±1.7mm in the middle one third, and 9.8±1.4mm in the lower one third. The angle of canal with palate was 109.5±5.7°. On the coronal sections, canal length was 14.1±3.0mm, incisive foramen diameter was 4.6±1.0mm, and canal diameter in the nasal floor was 5.1±1.0mm.                           Conclusions: Significant differences in canal morphology were observed among the patients and CBCT was useful in determining nasopalatine canal morphology and its dimensions before implant placement.