A Robust Circular RNA-Associated Three-Gene Prognostic Signature for Patients with Gastric Cancer

Accumulating evidence has demonstrated that circular RNAs (circRNAs) play vital roles in cancer progression. However, the underlying molecular mechanisms of circRNAs remain poorly elucidated in gastric cancer (GC). The main purpose of present study is to explore the underlying regulatory mechanism by constructing a circRNA-associated competitive endogenous RNA (ceRNA) network and further establish a robust prognostic signature for patients with GC. Based on expression data of circRNA, microRNA, and mRNA derived from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases, a circRNA-associated ceRNA network, containing 15 cirRNAs, 9 microRNAs, and 35 mRNAs, was constructed using the Starbase database. Functional enrichment analysis showed that the ceRNA network might be involved in many cancer-related pathways, such as regulation of transcription from RNA polymerase II promoter, mesodermal cell differentiation, and focal adhesion. A protein-protein interaction network was constructed based on genes within the circRNA-associated ceRNA network. We found that six of ten hub genes within the PPI network were significantly associated with overall survival (OS). Thus, using the LASSO method, we constructed a three-gene prognostic signature based on TCGA-GC cohort, which could classify GC patients into low-risk and high-risk groups with significant difference in OS ( HR = 1.9 , 95 % CI = 1.14 ‐ 3.2 , and log-rank p = 0.001 ). The prognostic performance of the three-gene signature was verified in GSE15459 ( HR = 1.9 , 95 % CI = 1.27 ‐ 3.0 , and log − rank p = 2.2 E − 05 ) and GSE84437 ( HR = 1.5 , 95 % CI = 1.17 ‐ 2.0 , and log − rank p = 6.3 E − 04 ). Multivariate Cox analysis further revealed that the three-gene prognostic signature could serve as an independent risk factor for OS. Taken together, our findings contribute to a better understanding of the underlying mechanisms of circRNAs in GC progression. Furthermore, a robust prognostic signature is meaningful to facilitate individualized treatment for patients with GC.

Effects of Two Different Modes of Task Practice during Lower Limb Constraint-Induced Movement Therapy in People with Stroke: A Randomized Clinical Trial

Background. Constraint-induced movement therapy (CIMT) is used for the rehabilitation of motor function after stroke. Objectives. The aim of this study was to compare the effects of lower limb CIMT that uses number of repetition of tasks with the one that uses number of hours of practice. Method. The study was a randomized clinical trial approved by the Ethics Committee of Kano State Ministry of Health. Fifty-eight people with stroke participated in the study. Groups 1 and 2 performed daily 600 repetitions and 3 hours of task practice, respectively, 5 times weekly for 4 weeks. Motor impairment (primary outcome), balance, functional mobility, knee extensor spasticity, walking speed and endurance, and exertion before and after commencement of activities were assessed at baseline and postintervention. The data was analyzed using Friedmann and Mann-Whitney U tests. Result. The results showed that there was only significant difference ( p < 0.05 ) in knee extensor spasticity (group 1 ( median = 0 0 , mean rank = 27.50 ); group 2 ( median = 0 0 , mean rank = 31.64 )), exertion before commencement of activities (group 1 ( median = 0 0.5 , mean rank = 21.90 ); group 2 ( median = 1 0.5 , mean rank = 37.64 )), and exertion after commencement of activities (group 1 ( median = 1 1 , mean rank = 20.07 ); group 2 ( median = 1 0 , mean rank = 39.61 ) postintervention in favour of the experimental group (group 1)). Conclusion. The group 1 protocol is more effective at improving outcomes after stroke.

Atributos de feminidad en un grupo de mujeres víctimas de violencia

This research explores and describes attributes of femininity from a group of women violence victims. For a parallel approach design and non probabilistic sampling of 30 women, it was used MMPI-2 and structured interview. In the analysis it is used statistical of central tendency and variability for the Mf scale, and categories by unit of sense for the interview. The Mf scale was within the normal rank nevertheless was insufficient to measure femininity according to the 17 qualitatively generated categories. The integration of the psychological approaches for the clinical evaluation of this construct is considered important. The revision of the Mf scale of the MMPI-2 is suggested as far as the cultural adjustment to our country.

Improved inference on the rank of a matrix

This paper develops a general framework for conducting inference on the rank of an unknown matrix Π 0. A defining feature of our setup is the null hypothesis of the form H 0 : rank ( Π 0 ) ≤ r . The problem is of first‐order importance because the previous literature focuses on H 0 ′ : rank ( Π 0 ) = r by implicitly assuming away rank ( Π 0 ) < r , which may lead to invalid rank tests due to overrejections. In particular, we show that limiting distributions of test statistics under H 0 ′ may not stochastically dominate those under rank ( Π 0 ) < r . A multiple test on the nulls rank ( Π 0 ) = 0 , … , r , though valid, may be substantially conservative. We employ a testing statistic whose limiting distributions under H 0 are highly nonstandard due to the inherent irregular natures of the problem, and then construct bootstrap critical values that deliver size control and improved power. Since our procedure relies on a tuning parameter, a two‐step procedure is designed to mitigate concerns on this nuisance. We additionally argue that our setup is also important for estimation. We illustrate the empirical relevance of our results through testing identification in linear IV models that allows for clustered data and inference on sorting dimensions in a two‐sided matching model with transferrable utility.

A fusion fuzzy model for detecting phony accounts in social networks

In online social network’s phony account detection is one of the major task among the ability of genuine user from forged user account. The fundamental objective of detection of phony account framework is to detect fake account and removal technique in Social network user sites. This work concentrates on detection of phony account in which it depends on normal basis framework, transformative Algorithms and fuzzy technique. Initially, the most essential attributes including personal attributes, comparability techniques and various real user review, tweets, or comments are extricated. A direct blend of these attributes demonstrates the significance of each reviews tweets comments etc. To compute closeness measure, a consolidated strategy in view of artificial honey bee state Algorithm and fuzzy technique are utilized. Second approach is proposed to alter the best weights of the normal user attributes utilizing the social network activities/transaction and inherited Algorithm. Finally, a normal rank rationale framework is utilized to calculate the final scoring of normal user activities. The decision making of proposed approach to find phony account are variation with existing techniques user behavioral analysis using data sets and machine learning techniques such as crowdflower_sample and genuine_accounts_sample dataset of facebook and Twitter. The outcomes demonstrate that proposed strategy overcomes the previously mentioned strategies.

A study on new right/left inverses of nonsquare polynomial matrices

A study on new right/left inverses of nonsquare polynomial matricesThis paper presents several new results on the inversion of full normal rank nonsquare polynomial matrices. New analytical right/left inverses of polynomial matrices are introduced, including the so-called τ-inverses, σ-inverses and, in particular,S-inverses, the latter providing the most general tool for the design of various polynomial matrix inverses. The applicationoriented problem of selecting stable inverses is also solved. Applications in inverse-model control, in particular robust minimum variance control, are exploited, and possible applications in signal transmission/recovery in various types of MIMO channels are indicated.