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This paper offers an introduction to dynamic economic planning under uncertainty, i.e. the use of econometric models together with mathematical optimization methods for the analysis and quantitative determination of optimal economic policies. The corresponding basic methodology (optimal feedback stochastic control of linear econometric models given a quadratic cost functional) is presented with particular regard to its practical application. The method is then applied for demonstration purposes to an econometric model of the Federal Republic of Germany.

Corporations operating in the oil industry have faced several million dollar lawsuits and settlements over discriminatory practices. These settlements further substantiate a negative perception surrounding the industry as being male‐dominated and often referred to as having a “macho” corporate culture. This article addresses this perception by research of federal laws governing discrimination practices, court case decisions, and actual employment composition statistics filed with the Equal Employment Opportunity Commission (EEOC), the federal agency that enforces the numerous discrimination laws in place.

The purpose of this paper is to construct a profile of a financial criminal, with special emphasis on their psychological attributes. The objective is to determine if such a profile can provide a valuable tool for detecting perpetrators of financial crime and for implementing risk-reduction strategies.

The approach involved a review of various personality disorders and other mental health issues, as well as an analysis of a number of cases involving serious financial crime, to ascertain whether the behaviour of the perpetrators was consistent with certain psychological challenges. In addition, the study examined various motivators for the commission of the financial crime.

The research revealed some key commonalities among the perpetrators of financial crime and that their behaviour was often consistent with that of a person afflicted with a personality or other psychological disorder.

The study provides a comprehensive analysis of various personality and other psychological challenges afflicting a number of offenders involved in financial crime. It also provides some critical findings that could be valuable for those charged with establishing measures to prevent and detect financial crime.

This study aimed to examine the mental health information entities and associations between the biomedical, psychological and social domains of bipolar disorder (BD) by analyzing social media data and scientific literature.

Reddit posts and full-text papers from PubMed Central (PMC) were collected. The text analysis was used to create a psychological dictionary. The text mining tools were applied to extract BD entities and their relationships in the datasets using a dictionary- and rule-based approach. Lastly, social network analysis and visualization were employed to view the associations.

Mental health information on the drug side effects entity was detected frequently in both datasets. In the affective category, the most frequent entities were “depressed” and “severe” in the social media and PMC data, respectively. The social and personal concerns entities that related to friends, family, self-attitude and economy were found repeatedly in the Reddit data. The relationships between the biomedical and psychological processes, “afraid” and “Lithium” and “schizophrenia” and “suicidal,” were identified often in the social media and PMC data, respectively.

Mental health information has been increasingly sought-after, and BD is a mental illness with complicated factors in the clinical picture. This paper has made an original contribution to comprehending the biological, psychological and social factors of BD. Importantly, these results have highlighted the benefit of mental health informatics that can be analyzed in the laboratory and social media domains.

The purpose of this paper is to present a methodology to predict initial crack growth behavior of crack or notch like stress raisers in AISI 316L(N) stainless steel material subjected to monotonic loading condition.

The methodology for critical crack blunting corresponding to crack initiation in crack or notch like stress raisers is based on critical plastic strain (Epc) at a characteristic distance (lc), where uniform strain (Eu) is considered as Epc and two grain diameter is considered as lc. Further crack growth is based on parabolic crack tip opening displacement (CTOD) scheme established based on coupled experimental and FEM analysis of compact tension (CT) specimen subjected to mode-I loading condition. The FEM predicted load-displacement plots is compared with experimental result of CT specimens with different a/W ratios. It has shown that the proposed methodology could account initial crack blunting appropriately and predict the fracture load and load-displacement plots for initial crack growth regime.

The results show that for crack growth with near straight crack front, experimental data from a CT specimen of particular a/W ratio coupled with plane strain 2D FEM analysis could predict load vs displacement plots for different a/W ratios when initial crack blunting is accounted appropriately with a local damage model.

The present study is a part of developing methods to analyse fracture behavior of AISI 316L(N) SS material components used for fast breeder reactor-based power plant being built at Kalpakkam, India.