Henoch-Schönlein purpura in children: A cross sectional study

Background: Henoch-Schönlein purpura (HSP) is a leukocytoclastic vasculitis with small vessel involvement and mainly affects the skin as well as joints, the gastrointestinal system (GIS), kidneys, and, more rarely, other organs. Objective: The objective of this study was to evaluate the sociodemographic characteristics, and clinical and laboratory findings of patients diagnosed with HSP. Materials and Methods: This was a retrospective study done to find out the sociodemographic data, clinical, laboratory findings, and treatment information of patients diagnosed with HSP and was admitted to the Pediatric Clinic of a tertiary care hospital between January 1, 2008, and August 31, 2013. The data were obtained from the hospital’s data processing system. HSP cases were validated according to EULAR/PRINTO/PRES criteria. Mean standard deviation, median, lowest and highest, frequency, and ratio values were used in the descriptive statistics of the data. Results: The study included 85 patients between the ages of 2 and 16 years, wherein 49 patients (57.6%) were male and 36 (42.4%) were female. The mean age was 9.9±3.3 years and 53 patients (62.4%) were under 10 years of age. The most common precipitating factor was upper respiratory tract infections. Purpura was the only symptom observed in all the patients and joint involvement was the second most common symptom (60%). GIS involvement was observed in 46 patients (58.8%) and intussusception was observed in one patient. Nine patients (10.6%) had renal involvement with mild nephropathy. The most frequently observed laboratory findings were increased C-reactive protein (47%) and leukocytosis (31%). Conclusion: HSP is commonly seen in children and leads to life-threatening complications in a minority of patients. Whole patients with GIS and renal involvement should be examined and monitored to assess the severity of the disease and any complications

Evaluation of wool dyeing potentials of some plant species growing in Southeastern Anatolia Region

Dyeing properties of ethanol and water extracts of 16 plants species growing in Turkish flora on wool fibers were examined using K3Al(SO4)2, CuSO4, and FeSO4 mordents. The dyeing performances of plant extracts were evaluated with color strength (K/S), washing fastness, and light fastness measurements of dyed fibers. The color names and color codes of dyed fibers were also determined according to Pantone TPX color guide. The naturally colored wool yarns exhibited 3.19–27.82 of color strength (K/S) and light (rating 3–5) and washing fastness (rating 4–5) properties. The present results show that colors such as brown, gray, khaki, beige known as critical colors in textiles were easily achieved by natural dyes

Assessment of monocyte to high density lipoprotein cholesterol ratio and lymphocyte-to-monocyte ratio in patients with metabolic syndrome

Aim: We aimed to investigate the relationships between metabolic syndrome (MS) and monocyte to high density lipoprotein cholesterol ratio (MHR) and lymphocyte-to-monocyte ratio (LMR). Methods: 762 patients (n = 371 MS present and n = 391 MS absent) were enrolled. Results: MHR was significantly higher [13.9 (10.5-18.1) vs 11.1 (8.0-14.8); p < 0.001], whereas LMR was significantly lower [4.5 (3.6-5.7) vs 3.6 (2.9-4.8); p < 0.001] in patients with MS. LMR [OR: 0.796 (95% CI): 0.711-0.892); p < 0.001], MHR [OR: 1.052 (95% CI: 1.018-1.088); p = 0.003] and C-reactive protein [OR: 1.048 (95% CI: 1.032-1.065); p < 0.001] remained as independent variables for the presence of MS. Conclusion: The present study shows that both LMR and MHR may be novel and useful indicators of MS

Classification of CNC Vibration Speeds by Heralick Features

In the contemporary landscape of industrial manufacturing, the concept of computer numerical control (CNC) has emerged due to the optimization of conventional machinery, distinguished by its remarkable precision and expeditious processing capabilities. These inherent advantages have seamlessly paved the way for the pervasive integration of CNC machines across a myriad of industrial manufacturing sectors. The present study embarks upon a comprehensive inquiry, delving into the intricate analysis of a specialized prototype CNC molding machine, encompassing a meticulous assessment of its structural rigidity, robustness, and propensity for vibrational occurrences. Moreover, an insightful exploration is undertaken to discern the intricate interplay between vibrational signals and intricate machining processes, particularly under diverse conditions such as the presence or absence of the cutting tool, and at varying rotational speeds denoted in revolutions per minute (RPM). The trajectory of this research voyage encompasses an extensive array of empirical experiments meticulously conducted on the prototype CNC machine, with synchronous real-time acquisition of vibrational data. This empirical journey starts by generating two distinct datasets, each meticulously designed to encompass an assemblage of seven distinct rotational speeds, spanning the spectrum from 18000 to 30000 RPM, thereby facilitating enhanced diversity within the dataset. In parallel, a secondary dataset is meticulously derived from the CNC machine operating in the absence of the cutting tool, thereby encapsulating an exhaustive range of 20 discrete RPM values. The extraction of pivotal features aimed at discerning between the vibrational signals arising from distinct conditions (i.e., those emanating from situations involving the presence or absence of the cutting tool) and the associated variance in CNC machine speeds is facilitated through an innovative framework grounded in co-occurrence matrices. The culmination of this methodological framework is the identification of discernible co-occurrence matrices, thereby facilitating the subsequent computation of Heralick features. The classification effort was performed systematically using 10-fold cross-validation analysis, covering a number of different machine learning models. The outcomes emanating from this intricate sequence of systematic methodologies underscore remarkable achievements. Specifically, the classification of vibrational signals corresponding to varying CNC machine speeds, contingent upon the presence or absence of the cutting tool, yields commendable accuracy rates of 94.27% and 94.16%, respectively. Notably, an exemplary accuracy rate of 100% is attained when classifying differing conditions (i.e., situations involving the presence or absence of the cutting tool) across specific RPM settings, prominently at 22000  24000  26000  28000  and 30000 RPM.

Classification of CNC Vibration Speeds by Heralick Features

In the contemporary landscape of industrial manufacturing, the concept of computer numerical control (CNC) has emerged due to the optimization of conventional machinery, distinguished by its remarkable precision and expeditious processing capabilities. These inherent advantages have seamlessly paved the way for the pervasive integration of CNC machines across a myriad of industrial manufacturing sectors. The present study embarks upon a comprehensive inquiry, delving into the intricate analysis of a specialized prototype CNC molding machine, encompassing a meticulous assessment of its structural rigidity, robustness, and propensity for vibrational occurrences. Moreover, an insightful exploration is undertaken to discern the intricate interplay between vibrational signals and intricate machining processes, particularly under diverse conditions such as the presence or absence of the cutting tool, and at varying rotational speeds denoted in revolutions per minute (RPM). The trajectory of this research voyage encompasses an extensive array of empirical experiments meticulously conducted on the prototype CNC machine, with synchronous real-time acquisition of vibrational data. This empirical journey starts by generating two distinct datasets, each meticulously designed to encompass an assemblage of seven distinct rotational speeds, spanning the spectrum from 18000 to 30000 RPM, thereby facilitating enhanced diversity within the dataset. In parallel, a secondary dataset is meticulously derived from the CNC machine operating in the absence of the cutting tool, thereby encapsulating an exhaustive range of 20 discrete RPM values. The extraction of pivotal features aimed at discerning between the vibrational signals arising from distinct conditions (i.e., those emanating from situations involving the presence or absence of the cutting tool) and the associated variance in CNC machine speeds is facilitated through an innovative framework grounded in co-occurrence matrices. The culmination of this methodological framework is the identification of discernible co-occurrence matrices, thereby facilitating the subsequent computation of Heralick features. The classification effort was performed systematically using 10-fold cross-validation analysis, covering a number of different machine learning models. The outcomes emanating from this intricate sequence of systematic methodologies underscore remarkable achievements. Specifically, the classification of vibrational signals corresponding to varying CNC machine speeds, contingent upon the presence or absence of the cutting tool, yields commendable accuracy rates of 94.27% and 94.16%, respectively. Notably, an exemplary accuracy rate of 100% is attained when classifying differing conditions (i.e., situations involving the presence or absence of the cutting tool) across specific RPM settings, prominently at 22000  24000  26000  28000  and 30000 RPM.

Comparison of electrocautery and plasmablade on ischemia and seroma formation after modified radical mastectomy for locally advanced breast cancer

The aim of this study was to compare postoperative drainage volumes and IMA levels in patients who underwent modified radical mastectomy (MRM) with using PlasmaBlade (PB) or electrocautery (EC). A total of 36 patients who underwent MRM with PB or EC in our clinic between August 2012 to February 2013 were enrolled. Number of removed and positive lymph nodes, duration of drainage and total drainage volume was recorded. Seroma formation after drain removal and number of aspirations were also recorded. Serum ischemia modified albümine (IMA) levels were analysed before surgery, 1 h and 24 h after surgery. In total, 36 patients were treated with MRM in the study period. Of the 36 patients, 16 underwent MRM with PB, and 20 underwent MRM with EC. The patients demographics were similar in both groups. The mean drainage volume and seroma formation were significantly higher in the PB group when compared with EC group (p < 0.05). Number of aspirations due to the seroma were also high in PB group. The total aspiration volume of seroma was not different in both groups. IMA levels 24 h after surgery in the PB group was significantly higher than EC group. There was no statistical significance between the groups for IMA levels at 1st hour. PB is a monopolar energy device and is associated with increased levels of ischemia. This situation resulted with an increased volume of total axillary drainage and elevated risk of seroma formation

Effectiveness of collagenase in preventing postoperative intra-abdominal adhesions

AbstractIntroductionThe purpose of this study is to investigate the effectiveness of Collagenase clastridiopeptidase an enzyme preparation used in enzymatic debridement in preventing adhesions brought about by peritoneal damage.MethodsThe study covers a total of 40 rats in 4 groups each having 10 rats.Group 1: The control group.Group 2: Normal saline group.Group 3: Sterile Novuxol® group.Group 4: The group where the intraperitoneal and systemic effects of sterile Novuxol® were investigated.Adhesion frequency and grades were scored on the post-op 11th day according to Granat. Blood work including hemoglobin, aspartate aminotransferase, alanine aminotransferase, urea, creatinine, and albumin level measurements were performed. Toxicity was investigated histopathologically through samples taken from the liver and the peritoneum from Group 4.ResultsAdhesion frequency was found to be 80% on the right and 90% on the left for Group 1, while it was 50% on both left and right for Group 2, and 30% on the right and 10% on the left for Group 3. Adhesion stages were found to be 1: 2.35 ± 1.42 for Group 1, 0.31 ± 1.15 for Group 2, and 0.20 ± 0.41 for Group 3. Adhesion stage of the Sterile Novuxol® Group was lower than all the other groups (p < 0.05). Biochemical and hematological parameters were similar in all groups (p > 0.05). Histopathological analysis revealed no hepatotoxicity.ConclusionsAccording to the results of our study, we believe that Sterile Novuxol® can be a good anti-adhesive agent considering its ease of use, non-toxicity, and effectiveness