Predicting miRNA-disease interaction based on recommend method

2019 ◽  
Vol 48 (1) ◽  
pp. 35-40
Author(s):  
Qingfeng Chen ◽  
Zhe Zhao ◽  
Wei Lan ◽  
Ruchang Zhang ◽  
Jiahai Liang
Keyword(s):  
Disease Diagnosis ◽  
Computational Method ◽  
Computational Framework ◽  
Content Type ◽  
Interaction Prediction ◽  
Disease Occurrence ◽  
Non Coding Rnas ◽  
Function Similarity ◽  
Traditional Approaches ◽  
The Relationship

Purpose MicroRNAs (miRNAs) have been proved to be a significant type of non-coding RNAs related to various human diseases. This paper aims to identify the potential miRNA–disease interactions. Design/methodology/approach A computational framework, MDIRM is presented to predict miRNAs-disease interactions. Unlike traditional approaches, the miRNA function similarity is calculated by miRNA–disease interactions. The k-mean method is further used to cluster miRNA similarity network. For miRNAs in the same cluster, their similarities are enhanced, as the miRNAs from the same cluster may be reliable. Further, the potential miRNA–disease association is predicted by using recommend method. Findings To evaluate the performance of our model, the fivefold cross validation is implemented to compare with two state-of-the-art methods. The experimental results indicate that MDIRM achieves an AUC of 0.926, which outperforms other methods. Originality/value This paper proposes a novel computational method for miRNA–disease interaction prediction based on recommend method. Identifying the relationship between miRNAs and diseases not only helps us better understand the disease occurrence and mechanism through the perspective of miRNA but also promotes disease diagnosis and treatment.

AEMDA: inferring miRNA–disease associations based on deep autoencoder

2020 ◽  
Author(s):  
Cunmei Ji ◽  
Zhen Gao ◽  
Xu Ma ◽  
Qingwen Wu ◽  
Jiancheng Ni ◽  
...  
Keyword(s):  
Computational Models ◽  
State Of The Art ◽  
Disease Diagnosis ◽  
Reconstruction Error ◽  
Supplementary Information ◽  
Biological Processes ◽  
Interaction Data ◽  
Computational Framework ◽  
Disease Associations ◽  
Non Coding Rnas

Abstract Motivation MicroRNAs (miRNAs) are a class of non-coding RNAs that play critical roles in various biological processes. Many studies have shown that miRNAs are closely related to the occurrence, development and diagnosis of human diseases. Traditional biological experiments are costly and time consuming. As a result, effective computational models have become increasingly popular for predicting associations between miRNAs and diseases, which could effectively boost human disease diagnosis and prevention. Results We propose a novel computational framework, called AEMDA, to identify associations between miRNAs and diseases. AEMDA applies a learning-based method to extract dense and high-dimensional representations of diseases and miRNAs from integrated disease semantic similarity, miRNA functional similarity and heterogeneous related interaction data. In addition, AEMDA adopts a deep autoencoder that does not need negative samples to retrieve the underlying associations between miRNAs and diseases. Furthermore, the reconstruction error is used as a measurement to predict disease-associated miRNAs. Our experimental results indicate that AEMDA can effectively predict disease-related miRNAs and outperforms state-of-the-art methods. Availability and implementation The source code and data are available at https://github.com/CunmeiJi/AEMDA. Supplementary information Supplementary data are available at Bioinformatics online.

scholarly journals The correlation between lncRNAs and Helicobacter pylori in gastric cancer

2019 ◽  
Vol 77 (9) ◽  
Author(s):  
Narges Dastmalchi ◽  
Seyed Mahdi Banan Khojasteh ◽  
Mirsaed Miri Nargesi ◽  
Reza Safaralizadeh
Keyword(s):  
Gastric Cancer ◽  
Helicobacter Pylori ◽  
Molecular Mechanisms ◽  
Gastrointestinal Diseases ◽  
Mechanisms Of Action ◽  
Molecular Pathways ◽  
Gastric Diseases ◽  
Non Coding Rnas ◽  
H Pylori ◽  
The Relationship

ABSTRACT Helicobacter pylori infection performs a key role in gastric tumorigenesis. Long non-coding RNAs (lncRNAs) have demonstrated a great potential to be regarded as effective malignancy biomarkers for various gastrointestinal diseases including gastric cancer (GC). The present review highlights the relationship between lncRNAs and H. pylori in GC. Several studies have examined not only the involvement of lncRNAs in H. pylori-associated GC progression but also their molecular mechanisms of action. Among the pertinent studies, some have addressed the effects of H. pylori infection on modulatory networks of lncRNAs, while others have evaluated the effects of changes in the expression level of lncRNAs in H. pylori-associated gastric diseases, especially GC. The relationship between lncRNAs and H. pylori was found to be modulated by various molecular pathways.

Role of burnout on job level, job satisfaction, and task performance

2017 ◽  
Vol 38 (5) ◽  
pp. 630-645 ◽  
Author(s):  
Won Ho Kim ◽  
Young-An Ra ◽  
Jong Gyu Park ◽  
Bora Kwon
Keyword(s):  
Job Satisfaction ◽  
Task Performance ◽  
Organizational Context ◽  
Content Type ◽  
Job Level ◽  
Mediating Role ◽  
Final Sample ◽  
The Relationship ◽  
And Task

Purpose The purpose of this paper is to examine the mediating role of burnout (i.e. exhaustion, cynicism, professional inefficacy) in the relationship between job level and job satisfaction as well as between job level and task performance. Design/methodology/approach The final sample included 342 Korean workers from selected companies. The authors employed the Hayes (2013) PROCESS tool for analyzing the data. Findings The results showed that all three subscales of burnout (i.e. exhaustion, cynicism, professional inefficacy) mediate the relationship between job level and job satisfaction. However, only two mediators (i.e. cynicism, professional inefficacy) indicated the mediating effects on the association between job level and task performance. Originality/value This research presented the role of burnout on the relationships between job level, job satisfaction, and task performance especially in South Korean organizational context. In addition to role of burnout, findings should prove helpful in improving job satisfaction and task performance. The authors provide implications and limitations of the findings.

Dave Snowden on KM and big data/analytics: interview with David J. Pauleen

2017 ◽  
Vol 21 (1) ◽  
pp. 12-17 ◽  
Author(s):  
David J. Pauleen
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Theory And Practice ◽  
Content Type ◽  
Face To Face ◽  
The Relationship ◽  
A Company ◽  
Practical Implications ◽  
Scientific Officer

Purpose Dave Snowden has been an important voice in knowledge management over the years. As the founder and chief scientific officer of Cognitive Edge, a company focused on the development of the theory and practice of social complexity, he offers informative views on the relationship between big data/analytics and KM. Design/methodology/approach A face-to-face interview was held with Dave Snowden in May 2015 in Auckland, New Zealand. Findings According to Snowden, analytics in the form of algorithms are imperfect and can only to a small extent capture the reasoning and analytical capabilities of people. For this reason, while big data/analytics can be useful, they are limited and must be used in conjunction with human knowledge and reasoning. Practical implications Snowden offers his views on big data/analytics and how they can be used effectively in real world situations in combination with human reasoning and input, for example in fields from resource management to individual health care. Originality/value Snowden is an innovative thinker. He combines knowledge and experience from many fields and offers original views and understanding of big data/analytics, knowledge and management.

Heuristic biases in investment decision-making and perceived market efficiency

2018 ◽  
Vol 10 (1) ◽  
pp. 85-110 ◽  
Author(s):  
Syed Zulfiqar Ali Shah ◽  
Maqsood Ahmad ◽  
Faisal Mahmood
Keyword(s):  
Financial Markets ◽  
Market Efficiency ◽  
Negative Impact ◽  
Investment Decisions ◽  
Sampling Technique ◽  
Investment Strategy ◽  
Individual Investors ◽  
Content Type ◽  
Specific Investment ◽  
The Relationship

Purpose This paper aims to clarify the mechanism by which heuristics influences the investment decisions of individual investors, actively trading on the Pakistan Stock Exchange (PSX), and the perceived efficiency of the market. Most studies focus on well-developed financial markets and very little is known about investors’ behaviour in less developed financial markets or emerging markets. The present study contributes to filling this gap in the literature. Design/methodology/approach Investors’ heuristic biases have been measured using a questionnaire, containing numerous items, including indicators of speculators, investment decisions and perceived market efficiency variables. The sample consists of 143 investors trading on the PSX. A convenient, purposively sampling technique was used for data collection. To examine the relationship between heuristic biases, investment decisions and perceived market efficiency, hypotheses were tested by using correlation and regression analysis. Findings The paper provides empirical insights into the relationship of heuristic biases, investment decisions and perceived market efficiency. The results suggest that heuristic biases (overconfidence, representativeness, availability and anchoring) have a markedly negative impact on investment decisions made by individual investors actively trading on the PSX and on perceived market efficiency. Research limitations/implications The primary limitation of the empirical review is the tiny size of the sample. A larger sample would have given more trustworthy results and could have empowered a more extensive scope of investigation. Practical implications The paper encourages investors to avoid relying on heuristics or their feelings when making investments. It provides awareness and understanding of heuristic biases in investment management, which could be very useful for decision makers and professionals in financial institutions, such as portfolio managers and traders in commercial banks, investment banks and mutual funds. This paper helps investors to select better investment tools and avoid repeating expensive errors, which occur due to heuristic biases. They can improve their performance by recognizing their biases and errors of judgment, to which we are all prone, resulting in a more efficient market. So, it is necessary to focus on a specific investment strategy to control “mental mistakes” by investors, due to heuristic biases. Originality/value The current study is the first of its kind, focusing on the link between heuristics, individual investment decisions and perceived market efficiency within the specific context of Pakistan.

User experience sharing

2018 ◽  
Vol 52 (5/6) ◽  
pp. 1154-1184 ◽  
Author(s):  
Tom Chen ◽  
Judy Drennan ◽  
Lynda Andrews ◽  
Linda D. Hollebeek
Keyword(s):  
User Experience ◽  
Online Communities ◽  
Structural Equation ◽  
Online Survey ◽  
Mobile App ◽  
Equation Modeling ◽  
Content Type ◽  
Key Driver ◽  
The Relationship ◽  
Level Of Effort

PurposeThis paper aims to propose user experience sharing (UES) as a customer-based initiation of value co-creation pertaining to service provision, which represents customers’ level of effort made for the direct benefit of others in their service network. The authors propose and empirically examine a user experience sharing model (UESM) that explicates customer-to-customer (C2C) UES and its impacts on firm-desired customer-based outcomes in online communities.Design/methodology/ApproachBased on an extensive review, the authors conceptualize UES and UESM. By using online survey data collected from mobile app users in organic online communities, the authors performed structural equation modeling analyses by using AMOS 24.FindingsThe results support the proposed UESM, showing that C2C UES acts as a key driver of both firm-desired customer efforts and customer insights. The results also confirmed that service-dominant (S-D) logic-informed motivational drivers exert a significant impact on C2C UES. Importantly, C2C UES mediates the relationship between S-D logic-informed motivational drivers and firm-desired customer-based outcomes.Originality/valueThis study offers a pioneering attempt to develop an overarching concept, UES, which reflects customers’ initiation of value co-creation, and to empirically examine C2C UES. The empirical evidence supports the key contention that firms should proactively facilitate C2C UES.

scholarly journals Corporate debt maturity and economic development

2019 ◽  
Vol 15 (5) ◽  
pp. 669-687 ◽  
Author(s):  
Celia Álvarez-Botas ◽  
Víctor M. González-Méndez
Keyword(s):  
Developing Countries ◽  
Economic Development ◽  
Financial Crisis ◽  
Firm Size ◽  
Debt Maturity ◽  
Corporate Debt ◽  
Content Type ◽  
Country Level ◽  
The Relationship ◽  
Bank Concentration

Purpose The purpose of this paper is to analyse the effect of economic development on the influence of country-level determinants on corporate debt maturity, bearing in mind firm size and the period of financial crisis. Design/methodology/approach The authors employ panel data estimation with fixed effects to examine the role of economic development in influencing the relationship between country-level determinants on corporate debt maturity. The paper uses a sample of 30,727 listed firms, belonging to 39 countries, over the period 2005–2012. Findings Corporate debt maturity increases with the efficiency of the legal system and bank concentration and decreases with the weight of banks in the economy. However, the importance of these country determinants is greater in developing than in developed countries. The authors also show that firm size in developed and developing countries influences country determinants of corporate debt maturity. Finally, the results reveal that the financial crisis has affected the debt maturity of firms differently in developed and developing countries, with the effect of bank concentration lengthening debt maturity, this effect being more pronounced in developing countries. Practical implications The findings provide useful insights to guide policy decisions providing access to long-term financing, as corporate debt maturity depends on economic development, institutional environment, banking structure and firm size. Originality/value This study incorporates economic development in explaining the relationship between country-level determinants and corporate debt maturity.

scholarly journals The significance of exosomal RNAs in the development, diagnosis, and treatment of pancreatic cancer

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Zheng Zhao ◽  
Guiping Zhao ◽  
Shuyue Yang ◽  
Shengtao Zhu ◽  
Shutian Zhang ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Immune Escape ◽  
Diagnosis And Treatment ◽  
Circular Rnas ◽  
Molecular Heterogeneity ◽  
Bioactive Constituents ◽  
Functional Connections ◽  
Non Coding Rnas ◽  
The Relationship ◽  
Exosomal Rnas

AbstractExosomes are single-membrane, secreted organelles with a diameter of 30–200 nm, containing diverse bioactive constituents, including DNAs, RNAs, proteins, and lipids, with prominent molecular heterogeneity. Extensive studies indicate that exosomal RNAs (e.g., microRNAs, long non-coding RNAs, and circular RNAs) can interact with many types of cancers, associated with several hallmark features like tumor growth, metastasis, and resistance to therapy. Pancreatic cancer (PaCa) is among the most lethal cancers worldwide, emerging as the seventh foremost cause of cancer-related death in both sexes. Hence, revealing the specific pathogenesis and improving the clinical diagnosis and treatment process are urgently required. As the study of exosomes has become an active area of research, the functional connections between exosomes and PaCa have been deeply investigated. Among these, exosomal RNAs seem to play a significant role in the development, diagnosis, and treatment of PaCa. Exosomal RNAs delivery ultimately modulates the various features of PaCa, and many scholars have interpreted how exosomal RNAs contribute to the proliferation, angiogenesis, migration, invasion, metastasis, immune escape, and drug resistance in PaCa. Besides, recent studies emphasize that exosomal RNAs may serve as diagnostic and prognostic biomarkers or therapeutic targets for PaCa. In this review, we will introduce these recent insights focusing on the discoveries of the relationship between exosomal RNAs and PaCa, and the potentially diagnostic and therapeutic applications of exosomes in PaCa.

To examine the relationships between supplier development practices and supplier-buyer relationship practices from the supplier’s perspective

2017 ◽  
Vol 24 (5) ◽  
pp. 1309-1336 ◽  
Author(s):  
Sarang Joshi ◽  
Manoj Kharat ◽  
Rakesh Raut ◽  
Sachin Kamble ◽  
Sheetal Kamble
Keyword(s):  
Structural Equation ◽  
Success Factors ◽  
Structural Model ◽  
Manufacturing Firms ◽  
Supplier Development ◽  
Competitive Advantages ◽  
Content Type ◽  
The Relationship ◽  
Relationship Improvement

Purpose The purpose of this paper is to examine the relationships between supplier development practices (SDPs) and supplier-buyer relationship practices from the supplier’s perspective (SBRSP), and seek to understand how specific SDPs may impact a buyer’s operational performance as well as supplier-buyer relationship practices. Design/methodology/approach The authors conducted a survey of 512 respondents from the different manufacturing firms in India and applied structural equation modelling to test a structural model that proposes the impacts of various efforts of SDPs on a buyer’s performance as well as SBRSP. Findings The study concludes that SDPs and SBRSP together improve the relationship between a buyer and supplier, and this improved relationship leads to competitive advantages (CAs) followed by profitability. Results indicate that supplier perspective of buyer-supplier relationship can be improved under the condition of SDPs and SBRSP together. SDPs are driven by productive measure and competitive pressure, whereas customer uncertainty is found to be statistically insignificant. Research limitations/implications The study was carried out in North Maharashtra Industrial Zone of India, where the auto sector and machine/components manufacturing firms have been established for a considerable period of time. Results of the study are limited to manufacturing organizations predominantly focussing on the automobile sector and machine/components manufacturing firms. Practical implications This study provides significant insights into the specific impact of various SDPs and SBRSP for both academics and practitioners. SDPs along with SBRSP practices lead to improvement in the relationship leading to CAs. SBRSP suggests that trust, long-term commitments and the supplier’s perspective are important practices for relationship improvement. Originality/value The current study attempts to identify what are the success factors for the supplier-buyer relationship from the supplier’s perspective and SDPs and how the supplier-buyer relationship can be improved under the condition of SDPs and SBRSP. Hence, the aim is to develop a more thorough understanding of the outcomes of a supplier-buyer relationship improvement from both buyer’s and supplier’s perspective, under the conditions of supplier development to achieve CAs leading to profitability. Furthermore, the study analyses the effect of the improved supplier-buyer relationship for achieving CAs leading to profitability.

scholarly journals Relationship of patient shame to working alliance and satisfaction: a preliminary investigation

2019 ◽  
Vol 14 (4) ◽  
pp. 251-263
Author(s):  
Daniel J. Carabellese ◽  
Michael J. Proeve ◽  
Rachel M. Roberts
Keyword(s):  
Patient Satisfaction ◽  
Working Alliance ◽  
Preliminary Investigation ◽  
Community Members ◽  
Content Type ◽  
Mediation Analyses ◽  
External Shame ◽  
Relationship Of ◽  
The Relationship

Purpose The purpose of this paper is to explore the relationship of two distinct variants of dispositional shame (internal and external shame) with collaborative, purpose-driven aspects of the patient–provider relationship (working alliance) and patient satisfaction. The aim of this research was to conduct a preliminary investigation into the relevance of dispositional shame in a general healthcare population. Design/methodology/approach In total, 127 community members (mean age 25.9 years) who reported that they had regularly seen a GP over the past year were recruited at an Australian university. Participants were asked to reflect on their relationship with their GP, and completed instruments assessing various domains of shame, as well as working alliance and patient satisfaction. Findings Non-parametric correlations were examined to determine the direction and strength of relationships, as well as conducting mediation analyses where applicable. Small, negative correlations were evident between external shame and working alliance. Both external and internal shame measures were also negatively correlated with patient satisfaction. Finally, the relationship of external shame to patient satisfaction was partially mediated by working alliance. Practical implications Both the reported quality of patient–provider working alliance, and level of patient satisfaction are related to levels of dispositional shame in patients, and working alliance may act as a mediator for this relationship. Originality/value The findings from this preliminary study suggest that internal and external shame are important factors to consider in the provision of medical care to maximise the quality of patient experience and working alliance.

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