Influence of core stability exercise on lumbar vertebral instability in patients presented with chronic low back pain: A randomized clinical trial

Background: Excessive lumbar vertebrae translation and rotation in sagittal plane has been attributed as an associated factor of lumbar segmental instability (LSI) and low back pain (LBP). Reduction of these abnormalities improves back pain. The aim of this study was to investigate the effect of core stability exercise on the translation and rotation of lumbar vertebrae in sagittal plane in patients with nonspecific chronic LBP (NSCLBP). Methods: In this randomized clinical trial, 30 patients with NSCLBP due to LSI were included. The participants were randomly divided into two groups of treatment and control. The treatment group received general exercises plus core stability exercise for 8 weeks whereas; the control group received only general exercises. The magnitude of translation (mm) and rotation (deg) of lumbar vertebrae in the sagittal plane was determined by radiography in flexion and extension at baseline and after intervention. The primary outcome measures were to determine the mean changes from baseline in translation and rotation of the lumbar vertebrae in the sagittal plane after 8 weeks of intervention in each group. The secondary outcome was to compare the two groups in regard to translation and rotation of the lumbar vertebrae at the end of the study period. Data were analyzed using paired t-test and independent t-test. Results: Thirty patients aged 18-40 years old with clinical diagnosis of NSCLBP entered the study. Compared with baseline values, mean value of translation and rotation of the lumbar vertebra reduced significantly in both groups (P<0.05), except L3 translation in the control group. At the endpoint, mean translation value of L4 (P=0.04) and L5 (P=0.001) and rotation of the L5 (P=0.01) in the treatment group was significantly lower than the control group. Conclusion: These findings indicate that in patients presented with NSCLBP due to lumbar segmental instability, core stability exercises plus general exercises are more efficient than general exercises alone in the improvement of excessive lumbar vertebrae translation and rotation

The Mean Drift: Tailoring the Mean Field Theory of Markov Processes for Real-World Applications

The statement of the mean field approximation theorem in the mean field theory of Markov processes particularly targets the behaviour of population processes with an unbounded number of agents. However, in most real-world engineering applications one faces the problem of analysing middle-sized systems in which the number of agents is bounded. In this paper we build on previous work in this area and introduce the mean drift. We present the concept of population processes and the conditions under which the approximation theorems apply, and then show how the mean drift is derived through a systematic application of the propagation of chaos. We then use the mean drift to construct a new set of ordinary differential equations which address the analysis of population processes with an arbitrary size

Phenotypic and molecular characterization of plasmid mediated AmpC among clinical isolates of Klebsiella pneumoniae isolated from different hospitals in Tehran

Introduction: Klebsiella pneumoniae is one of the main opportunistic pathogens which can cause different types of infections. Production of beta-lactamases like AmpC and ESBL mostly lead to beta-lactam resistance in these Gram-Negative bacteria. The aim of this study was the detection of AmpC-producing K. pneumoniae in clinical isolates. Materials and Methods: Three hundred and three isolates of K. pneumoniae were identified. Double disc method including cefoxitin with cefepime and using boronic acid with cloxacillin were performed as two phenotypic methods for detection of AmpC. Amplification of AmpC gene was performed by PCR. Results: Eight and three isolates showed positive results in double disc method and by using boronic acid with cloxacillin, respectively. Five isolates had specific band for AmpC gene after electrophoresis. Conclusion: Our results were indicated the low prevalence of AmpC-producer-K. pnemoniae in Iran. On the other hand these two tested phenotypic methods showed low sensitivity for detection of AmpC. © 2015 Journal of Clinical and Diagnostic Research. All Rights Reserved

Positive emotion regulation strategies as mediators in depression and generalized anxiety disorder symptoms: A Transdiagnostic framework investigation

Positive emotion regulation (ER) strategies may contribute to the development and maintenance of generalized anxiety disorder (GAD) and depression; nonetheless, the underlying and transdiagnostic mechanisms are still unknown. To examine: 1) the mediating role of positive ER strategies in the relationship between ER deficits and experiential avoidance in GAD and depression symptoms; 2) differences in positive ER strategies among participants with elevated symptoms of GAD, depression, depression comorbid with GAD, and a nonclinical sample. 532 Tehran University students completed questionnaires assessing experiential avoidance, deficits in ER, positive ER strategies (dampening, positive rumination), and GAD and depression symptoms. Differences were assessed in four groups: GAD, depression, depression comorbid with GAD, and nonclinical. Data were analysed with path analysis and MANCOVA. Dampening and positive rumination mediated the relationship between deficits in ER and experiential avoidance in participants with depression and GAD symptoms. As for the between groups comparisons, the comorbid group obtained the highest scores on dampening and the nonclinical group the lowest. By contrast, nonclinical participants had the highest scores on positive rumination, whereas the comorbid group had the lowest. Positive ER strategies might be transdiagnostic variables. Dampening was more associated with psychopathology than positive rumination, suggesting that this strategy could be more clearly considered a transdiagnostic factor. Future studies with clinical samples must support this suggestion

Towards geostatistical learning for the geosciences: A case study in improving the spatial awareness of spectral clustering

The particularities of geosystems and geoscience data must be understood before any development or implementation of statistical learning algorithms. Without such knowledge, the predictions and inferences may not be accurate and physically consistent. Accuracy, transparency and interpretability, credibility, and physical realism are minimum criteria for statistical learning algorithms when applied to the geosciences. This study briefly reviews several characteristics of geoscience data and challenges for novel statistical learning algorithms. A novel spatial spectral clustering approach is introduced to illustrate how statistical learners can be adapted for modelling geoscience data. The spatial awareness and physical realism of the spectral clustering are improved by utilising a dissimilarity matrix based on nonparametric higher-order spatial statistics. The proposed model-free technique can identify meaningful spatial clusters (i.e. meaningful geographical subregions) from multivariate spatial data at different scales without the need to define a model of co-dependence. Several mixed (e.g. continuous and categorical) variables can be used as inputs to the proposed clustering technique. The proposed technique is illustrated using synthetic and real mining datasets. The results of the case studies confirm the usefulness of the proposed method for modelling spatial data

Accuracy of detection of Streptococcus pneumoniae in clinical laboratories by using phenotypic and molecular methods

Introduction: Streptococcus pneumoniae, is one of the most important bacterial pathogens and a member of viridians streptococci group. Accurate identification and differentiation of this form of bacteria from other relative streptococci, is the base of epidemiological study of this type of organism. The aim of this study was to evaluate the accuracy of detection of Streptococcus pneumoniae in clinical laboratories in Tehran, by using phenotypic and genotypic methods. Materials and Methods: A total number of 110 isolates, identified as pneumococci by some clinical laboratories in Tehran, were collected between March 2010 to May 2012.After isolating the colonies, biochemical identification tests by optochin susceptibility (Mast) and bile solubility (direct method) methods were performed. After DNA extraction, PCR was performed to define lytA gene as a molecular identification for Streptococcus pneumonia. Results: After re-identifying the isolates, fifty of them were determined as true pneumococci, and other remaining sixty isolates were identified as: three gram negative coccobacilli, seven non alpha hemolytic streptococci, and fifty Viridans streptococci. Most of misidentifications were related to respiratory and eye infecting streptococci. Unlike non pneumococcal isolates, all 50 pneumococcal isolates were positive for lytA gene. Conclusion: There was 55 error in detection of pneumococci in this study. The use of optochin susceptibility test as the sole detection tool and also lack of supplemental tests and proper quality controlling, are the main causes of failure in diagnosing pneumococci in Iran. Misidentifications may result in incorrect epidemiological data gathering, unnecessary treatment, and false increased antibiotic resistance reports for this organism. Regarding the high incidence of inaccuracies in defining this specific type of microorganism, we suggest the presence of a clinical microbiologist in the hospital laboratories to perform the right diagnostic tests and quality controlling would be essential. © 2015, Semnan University of Medical Sciences. All rights reserved

Treatment of idiopathic normal pressure hydrocephalus by persian medicine: A case report

Idiopathic normal pressure hydrocephalus (iNPH) is a chronic disease in adults. The standard treatment in this type of hydrocephalus is shunting which is accompanied by some complications and there is also uncertainty about response to treatment. Therefore, surgery is performed in only 10-20 of the cases with iNPH. Currently, oral acetazolamide and repetitive lumbar puncture for drainage of the cerebrospinal fluid are recommended in many patients. In this case report, a 34-year-old female patient with iNPH is introduced who received acetazolamide for the past two years, and repetitive lumbar punctures. These treatments reduced her symptoms for a short time, but had never disappeared the symptoms and after a while they intensified again. The patient was treated by Persian medicine and nutrition modification was also done. Within one year, there was no recurrence of the disease and no need for lumbar puncture. This case report highlights the need for further research on Persian medicine in treatment of iNPH. It is believed that Persian medicine could be of great benefit along with current treatments of hydrocephalus. © 2019, Mazandaran University of Medical Sciences. All rights reserved

Biological and Clinical Relevance of Long Non-Coding RNA PCAT-1 in Cancer, A Systematic Review and Meta-Analysis

Long non-coding RNA (lncRNA) prostate cancer associated transcript 1 (PCAT-1) has been identified as a potential biomarker for the diagnosis and prognosis of various cancers. We performed this systematic review and meta-analysis to evaluate the role of dysregulation as well as the biological and clinical significance of lnc-PCAT-1 for predicting the malignancy status in several cancers. Two independent reviewers conducted an extensive search in electronic databases of Medline, Embase, Scopus, Web of Science and PubMed until the December of 2017. Five articles investigating the clinical significance of lncRNA PCAT-1, including 996 patients, were analyzed. Our results revealed that the increased PCAT-1 expression was related to overall survival (OS) (HR = 1.9, 95%CI: 1.13-3.18, P=0.015). Also, pooled results of the diagnostic data analysis demonstrated that PCAT-1 has a sensitivity of 0.59 and specificity of 0.66 for cancer diagnosis. Moreover, pooled area under curve was 0.62 (95% CI: 0.58–0.69). This meta-analysis revealed that lncRNA PCAT-1 could be served as a potential diagnostic and prognostic biomarker in various solid tumors

Product Modularity, Tolerance Management, and Visual Management: Potential Synergies

Product Modularity refers to the hierarchical partitioning of products into theirconstitutive components. This concept has been explored in manufacturing to ease product design, simplify production, and to efficiently provide variety. Efforts have been made to transfer this knowledge to the construction context (i.e. one-off products, temporary supply chain, production taking place inside the product), especially to support the latter goal: variety. Yet, it is argued that a re-conceptualization of building design and production is required for the successful application of modularization. That is, materialsand components used to erect a building should be grouped (at least conceptually) as families of modules and work (production tasks) has to be structured according to such organization. This paper explores the synergies among Product Modularity, Tolerance Management, and Visual Management to improve and ease the understanding of such reconceptualization in design and production. It also examines patterns from the theoretical background of Design for Behaviour Change, and how these can be adapted to embedinformation in modules and present tolerance data in design drawings