scholarly journals A Wavelet-Based Learning Model Enhances Molecular Prognosis in Pancreatic Adenocarcinoma

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Binhua Tang ◽  
Yu Chen ◽  
Yuqi Wang ◽  
Jiafei Nie
Keyword(s):  
Individual Characteristics ◽  
The Cancer Genome Atlas ◽  
Small Samples ◽  
Clinical Prognosis ◽  
Kaplan Meier ◽  
Proposed Model ◽  
Prognosis Model ◽  
Molecular Prognosis ◽  
The Individual ◽  
Treat All

Genome-wide omics technology boosts deep interrogation into the clinical prognosis and inherent mechanism of pancreatic oncology. Classic LASSO methods coequally treat all candidates, ignoring individual characteristics, thus frequently deteriorating performance with comparatively more predictors. Here, we propose a wavelet-based deep learning method in variable selection and prognosis formulation for PAAD with small samples and multisource information. With the genomic, epigenomic, and clinical cohort information from The Cancer Genome Atlas, the constructed five-molecule model is validated via Kaplan-Meier survival estimate, rendering significant prognosis capability on high- and low-risk subcohorts ( p value < 0.0001), together with three predictors manifesting the individual prognosis significance ( p value: 0.0012~0.024). Moreover, the performance of the prognosis model has been benchmarked against the traditional LASSO and wavelet-based methods in the 3- and 5-year prediction AUC items, respectively. Specifically, the proposed model with discrete stationary wavelet base (bior1.5) overwhelmingly outperformed traditional LASSO and wavelet-based methods (AUC: 0.787 vs. 0.782 and 0.721 for the 3-year case; AUC: 0.937 vs. 0.802 and 0.859 for the 5-year case). Thus, the proposed model provides a more accurate perspective, but with less predictor burden for clinical prognosis in the pancreatic carcinoma study.

Thermo-kinetic investigation of heavy metal ions adsorption onto lignin considering coupled adsorption–desorption mechanisms: Modeling and experimental validation

2018 ◽  
Vol 09 (02) ◽  
pp. 1850014
Author(s):  
Farnaz Seyedvakili ◽  
Mohammad Samipoorgiri
Keyword(s):  
Heavy Metal ◽  
Metal Ions ◽  
Heavy Metal Ions ◽  
Individual Characteristics ◽  
Adsorption And Desorption ◽  
Isotherm Equation ◽  
Proposed Model ◽  
Isotherm And Kinetic Models ◽  
The Individual ◽  
Adsorption Desorption

A coupled adsorption–desorption thermo-kinetic model is developed incorporating both adsorption and desorption reactions. A local pseudo-equilibrium condition at the interface of adsorbent and adsorbate bulk phases was used as isotherm equation which can even be applied for multi-pollutants scenarios. The developed model is then validated using collected experimental data of heavy metal ions (Pb, Cu, Cd, Zn, and Ni). Comparisons were made for a number of isotherm and kinetic models to examine the performance of the proposed model. The developed model revealed desirable accuracy and superiority over other models in predicting the adsorption behavior and can be used for other systems of concern. The model correlates the adsorption kinetic with an [Formula: see text] value of 0.9391 and desorption kinetic with an [Formula: see text] value of 0.9383. By application of the proposed model to any available adsorption datasets, the individual characteristics of adsorption and desorption can be determined.

scholarly journals TMIC-03. UPREGULATION OF THE NLRC4 INFLAMMASOME CONTRIBUTES TO POOR PROGNOSIS IN GLIOMA PATIENTS

2019 ◽  
Vol 21 (Supplement_6) ◽  
pp. vi247-vi247
Author(s):  
Jaejoon Lim ◽  
Youngjoon Park ◽  
Minjun Kim ◽  
Juwon Ahn ◽  
KyuBum Kwack ◽  
...  
Keyword(s):  
Poor Prognosis ◽  
Tumor Development ◽  
The Cancer Genome Atlas ◽  
Immune Functions ◽  
Potential Therapeutic Target ◽  
Clinical Prognosis ◽  
Tumor Microenvironments ◽  
Kaplan Meier ◽  
Cancer Genome Atlas

Abstract Inflammation in tumor microenvironments is implicated in the pathogenesis of tumor development. In particular, inflammasomes, which modulate innate immune functions, are linked to tumor growth and anticancer responses. However, the role of the NLRC4 inflammasome in gliomas remains unclear. Here, we investigated whether the upregulation of the NLRC4 inflammasome is associated with the clinical prognosis of gliomas. We analyzed the protein expression and localization of NLRC4 in glioma tissues from 11 patients by immunohistochemistry. We examined the interaction between the expression of NLRC4 and clinical prognosis via a Kaplan-Meier survival analysis. The level of NLRC4 protein was increased in brain tissues, specifically, in astrocytes, from glioma patients. NLRC4 expression was associated with a poor prognosis in glioma patients, and the upregulation of NLRC4 in astrocytomas was associated with poor survival. Furthermore, hierarchical clustering of data from the Cancer Genome Atlas dataset showed that NLRC4 was highly expressed in gliomas relative to that in a normal healthy group. Our results suggest that the upregulation of the NLRC4 inflammasome contributes to a poor prognosis for gliomas and presents a potential therapeutic target and diagnostic marker.

scholarly journals Novel Model to Predict the Prognosis of Patients with Stage II–III Colon Cancer

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Yansong Xu ◽  
Fangfang Liang ◽  
Yi Chen ◽  
Zhen Wang ◽  
Huage Zhong ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Operation Mode ◽  
Stage Ii ◽  
Prognostic Indicators ◽  
Training Set ◽  
Clinical Prognosis ◽  
Kaplan Meier ◽  
Prognosis Model ◽  
Validation Set ◽  
The Relationship

Different opinions exist on the relationship between the C-reactive protein-to-albumin ratio (CAR) and the prognosis of colon cancer. This study is aimed at evaluating the relationship between CAR and prognosis of stage II–III colon cancer and establishing a clinical prognosis model. Patients were randomised to a training set (566 cases) and validation set (110 cases). The relationship between CAR and clinicopathological variables was calculated, and the Kaplan-Meier method was used to analyse the overall survival (OS) rate of colon cancer. In the training set, colon cancer independent risk factors were included in the prognosis model and then tested in the validation set. The accuracy and discrimination of the model were assessed using the C-index and calibration curves. Compared with patients with low CAR, patients with high CAR showed significantly poorer survival ( P = 0.020 ). In the multivariate analysis, CAR, carcinoembryonic antigen (CEA), lymph node metastasis, operation mode, and perineural invasion were identified as independent prognostic indicators and adopted to establish the prediction model. The C-index of the nomogram for predicting OS reached 0.751 in the training set and 0.719 in the validation set. The calibration curve exhibited good consistency. In the present study, the CAR may be an independent prognostic factor for stage II–III colon cancer, and the nomogram has a certain predictive value. However, further prospective large-sample research needs to be conducted to validate our findings.

scholarly journals Development of Prognostic Model Based on Five-gene Related to Tumor Mutation Burden in Hepatocellular Carcinoma

2021 ◽  
Author(s):  
Zhou Shujun ◽  
Qingling Li ◽  
Bin Yu ◽  
Qifa Ye ◽  
Yanfeng Wang
Keyword(s):  
The Cancer Genome Atlas ◽  
Missense Mutations ◽  
Tumor Mutation Burden ◽  
Mutation Burden ◽  
Prognosis Model ◽  
Cancer Genome Atlas ◽  
Matrix Organization ◽  
The Individual ◽  
Therapeutic Decision Making ◽  
High Level

Abstract BackgroundHepatocellular carcinoma (HCC) , the incidence rate ranks sixth and regards as the second leading cause of cancer-related death in the world. Tumor mutation burden (TMB) , a novel biomarker featured with microsatellite instability, has been thought to be closely related to tumor microenvironment and immunotherapy.MethodsIn this study, the 357 HCC samples were download from The Cancer Genome Atlas (TCGA) and analyzed.ResultsSingle nucleotide polymorphism (SNP) and C > T variation had the most missense mutations, and we also observed the higher mutation frequency in TP53, TTN, CTNNB1. With an optimal cut-off value of 4.61, the high level of TMB presented a worse prognosis. Functional analysis of the differentially expressed genes (DEGs) showed they were enriched in the pathway of the formation of extracellular matrix organization and sulfur compound metabolic. A 5-gene-based (including SFRP4, IL7R, FBLN2, COLEC10 and CHGA) model has been constructed to explore the independent prognosis capacity of each HCC patient.ConclusionsThe establishment of 5-gene-based prognosis model functions well in predicting the median of 1- , 3- and 5-year outcome of the individual patient and which will be beneficial for pre-clinical diagnosis and therapeutic decision-making.

scholarly journals Applying implicit knowledge for enterprise architectural transformation

2020 ◽  
Vol 217 ◽  
pp. 07012
Author(s):  
Igor Petrov ◽  
Tatyana Larinina ◽  
Natalia Samosudova
Keyword(s):  
Human Capital ◽  
Life Cycle ◽  
Implicit Knowledge ◽  
Individual Characteristics ◽  
Useful Knowledge ◽  
Proposed Model ◽  
Architectural Transformation ◽  
The Individual ◽  
Internal Relationships

The study describes a simulation model for the formalization of implicit knowledge about the team. The existing algorithms and methods of work to increase the amount of useful knowledge about the human capital of the organization do not allow obtaining knowledge about the development of the team and internal relationships. The effectiveness of architectural transformations directly depends on the quality of human capital management. The proposed model formalizes relations in the organization and proposes to form one of 4 strategies for personnel development, considering the individual characteristics of each of the employees. The article introduces the concepts of types of thinking and their connection to the life cycle of an organization. The study showed that the assessment of the organization’s personnel composition reveals the hidden cause-effect relationships between the effectiveness of the team and the stages of the organization’s life cycle.

scholarly journals Propagation of the Malware Used in APTs Based on Dynamic Bayesian Networks

Mathematics ◽  
2021 ◽  
Vol 9 (23) ◽  
pp. 3097
Author(s):  
Jose D. Hernandez Guillen ◽  
Angel Martin del Rey ◽  
Roberto Casado-Vara
Keyword(s):  
Bayesian Networks ◽  
Computational Model ◽  
Great Majority ◽  
Dynamic Bayesian Networks ◽  
Individual Characteristics ◽  
Global Models ◽  
Advanced Persistent Threat ◽  
Contact Topology ◽  
Proposed Model ◽  
The Individual

Malware is becoming more and more sophisticated these days. Currently, the aim of some special specimens of malware is not to infect the largest number of devices as possible, but to reach a set of concrete devices (target devices). This type of malware is usually employed in association with advanced persistent threat (APT) campaigns. Although the great majority of scientific studies are devoted to the design of efficient algorithms to detect this kind of threat, the knowledge about its propagation is also interesting. In this article, a new stochastic computational model to simulate its propagation is proposed based on Bayesian networks. This model considers two characteristics of the devices: having efficient countermeasures, and the number of infectious devices in the neighborhood. Moreover, it takes into account four states: susceptible devices, damaged devices, infectious devices and recovered devices. In this way, the dynamic of the model is SIDR (susceptible–infectious–damaged–recovered). Contrary to what happens with global models, the proposed model takes into account both the individual characteristics of devices and the contact topology. Furthermore, the dynamics is governed by means of a (practically) unexplored technique in this field: Bayesian networks.

THE METHODS OF DEVELOPING COMPUTATIONAL THINKING OF STUDENTS WHILE STUDYING THE COURSE "NUMERICAL METHODS" BASED ON BLENDED LEARNING

2019 ◽  
pp. 34-41
Author(s):  
M. M. Klunnikova
Keyword(s):  
Numerical Methods ◽  
Blended Learning ◽  
Computational Thinking ◽  
Individual Characteristics ◽  
Diagnostic Model ◽  
Mathematics Students ◽  
Professional Activities ◽  
Cognitive Component ◽  
Professional Field ◽  
The Individual

The work is devoted to the consideration of improving the quality of teaching students the discipline “Numerical methods” through the development of the cognitive component of computational thinking based on blended learning. The article presents a methodology for the formation of computational thinking of mathematics students, based on the visualization of algorithmic design schemes and the activation of the cognitive independence of students. The characteristic of computational thinking is given, the content and structure of computational thinking are shown. It is argued that a student with such a mind is able to manifest himself in his professional field in the best possible way. The results of the application of the technique are described. To determine the level of development of the cognitive component of computational thinking, a diagnostic model has been developed based on measuring the content, operational and motivational components. It is shown that the proposed method of developing computational thinking of students, taking into account the individual characteristics of students’ thinking, meaningfully based on the theoretical and practical aspects of studying the discipline, increases the effectiveness of learning the course “Numerical methods”. The materials of the article are of practical value for teachers of mathematical disciplines who use information and telecommunication technologies in their professional activities.

MEDIA SOCIALIZATION OF PERSONALITY IN THE CONTEXT OF INMUTATION IN THE MASS MEDIA

2021 ◽  
pp. 104-109
Author(s):  
Chernysh O.O.
Keyword(s):  
Mass Media ◽  
Negative Impact ◽  
Effective Interaction ◽  
Individual Characteristics ◽  
Media Culture ◽  
Active Growth ◽  
Media Space ◽  
The Media ◽  
The Individual

The urgency of the researched problem is connected with the growing role of mass media in modern conditions leads to change of values and transformation of identity of the person. The active growth of the role of the media, their influence on the formation and development of personality leads to the concept of “media socialization” and immutation in the media. The aim of the study is to outline the possibilities of the process of media socialization in the context of immutation in the media. The methods of our research are: analysis of pedagogical, psychological, literature, synthesis, comparison, generalization. The article analyzes the views of domestic and foreign scientists on the problem of immutation in the media and the transformation of the information space. In the context of the mass nature of the immutation of society, the concept of “media socialization” becomes relevant, which is the basis for reducing the negative impact of the media on the individual.The author identifies the lack of a thorough study of the concept of “media socialization” in modern scientific thought. Thus, media socialization is associated with the transformation of traditional means of socialization, and is to assimilate and reproduce the social experience of mankind with the help of new media.The article analyzes the essence of the concepts “media space”, “mass media” and “immutation”. The influence of mass media on the formation and development of the modern personality is described in detail.The study concluded that it is necessary to form a media culture of the individual, to establish safe and effective interaction of young people with the modern media system, the formation of media awareness, media literacy and media competence in accordance with age and individual characteristics for successful media socialization. The role of state bodies in solving the problem of media socialization of the individual was also determined. It is determined that the process of formation of media culture in youth should take place at the level of traditional institutions of socialization of the individual.The author sees the prospect of further research in a detailed analysis and study of the potential of educational institutions as an institution and a means of counteracting the mass nature of the immutation of society.Key words: immutation, media socialization, mass media, media space, information.

DECISION-MAKING ON INVESTMENT OF IT-INNOVATION BASED ON FUZZY EXPERT INFORMATION

2018 ◽  
pp. 103-111
Author(s):  
Olga Olegovna Eremenko ◽  
Lyubov Borisovna Aminul ◽  
Elena Vitalievna Chertina
Keyword(s):  
Decision Making ◽  
Individual Characteristics ◽  
Production Model ◽  
Investment Management ◽  
It Projects ◽  
Product Model ◽  
Project Cost ◽  
Reasoning System ◽  
Managerial Decisions ◽  
The Individual

The subject of the research is the process of making managerial decisions for innovative IT projects investing. The paper focuses on the new approach to decision making on investing innovative IT projects using expert survey in a fuzzy reasoning system. As input information, expert estimates of projects have been aggregated into six indicators having a linguistic description of the individual characteristics of the project type "high", "medium", and "low". The task of decision making investing has been formalized and the term-set of the output variable Des has been defined: to invest 50-75% of the project cost; to invest 20-50% of the project cost; to invest 10-20% of the project cost; to send the project for revision; to turn down investing project. The fuzzy product model of making investment management decisions has been developed; it adequately describes the process of investment management. The expediency of using constructed production model on a practical example is shown.

THEORETICAL PRINCIPLES OF FORECASTING THE COST OF A SOFTWARE PRODUCT

2017 ◽  
Author(s):  
Pavlo Rodionov ◽  
◽  
Anna Ploskonos ◽  
Lesya Gavrutenko ◽  
◽  
...  
Keyword(s):  
Selection Process ◽  
Individual Characteristics ◽  
Successful Implementation ◽  
Software Products ◽  
Software Product ◽  
Continue Research ◽  
Cocomo Model ◽  
Factors Of Influence ◽  
The Individual ◽  
The Cost

The paper analyzes the factors that affect the amount of effort required to create a mobile application and its cost. It is established that the main factors of influence are the design of the application, its functionality, the type of mobile platform, the availability and level of testing and support, as well as the individual characteristics of the developer. Based on the analysis of information sources, the main methods and approaches to forecasting the cost of software products are identified, which include the COCOMO model, Price-to-win method, expert evaluation, algorithmic methods and the method of analogies. It is proposed to consider the method of analogies as a tool that allows you to make predictions about the cost of resources required for the successful implementation of IT projects based on the experience of similar projects. It is proved that the advantages of this method are the simplicity of its implementation and the clarity of the results obtained, which follows from the practical orientation of this tool. Among the limitations of the method of analogy is the mandatory need for reliable data relating to similar projects, as well as the difficulty of taking into account unspecified indicators. Taking into account the mentioned limitations of the method of analogies and on the basis of the analysis of scientific sources the possible directions of its optimization are determined. Thus, among the ways to improve the effectiveness of this method are those aimed at optimizing the project selection process, the data for which are used as a basis for forecasting. Attempts to improve the method of analogies by including parameters that were previously ignored by this technique seem promising. This in turn can lead to an expansion of the scope of the method of analogies and increase the accuracy of forecasts. As prospects for further research, the need to continue research in the field of optimization of the method of analogies with the subsequent practical verification of theoretical positions on the data of real projects.

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