Search results

Longitudinal facial cracks (LFC) are one of the major defects occurring in the continuous-casting stage of thin slab caster using funnel molds. Longitudinal cracks occur mainly owing to non-uniform cooling, varying thermal conductivity along mold length and use of high superheat during casting, improper casting powder characteristics. These defects are difficult to capture and are visible only in the final stages of a process or even at the customer end. Besides, there is a seasonality associated with this defect where defect intensity increases during the winter season. To address the issue, a model-based on data analytics is developed.

Around six-month data of steel manufacturing process is taken and around 60 data collection point is analyzed. The model uses different classification machine learning algorithms such as logistic regression, decision tree, ensemble methods of a decision tree, support vector machine and Naïve Bays (for different cut off level) to investigate data.

Proposed research framework shows that most of models give good results between cut off level 0.6–0.8 and random forest, gradient boosting for decision trees and support vector machine model performs better compared to other model.

Based on predictions of model steel manufacturing companies can identify the optimal operating range where this defect can be reduced.

An analytical approach to identify LFC defects provides objective models for reduction of LFC defects. By reducing LFC defects, quality of steel can be improved.

The purpose of this paper is to demonstrate the effect of δ-ferrite on the susceptibility to hydrogen embrittlement of type 304 stainless steel in hydrogen gas environment.

The mechanical properties of as-received and solution-treated specimens were investigated by the test of tensile and fatigue crack growth (FCG) in 5 MPa argon and hydrogen.

The presence of δ-ferrite reduced the relative elongation and the relative reduction area (H₂/Ar) of 304 stainless steel, indicating that δ-ferrite increased the susceptibility of hydrogen embrittlement in 304 stainless steel. Moreover, δ-ferrite promoted the fatigue crack initiation and propagation at the interface between δ-ferrite and austenite. The FCG tests were used to investigate the effect of δ-ferrite on the FCG rate in hydrogen gas environment, and it was found that δ-ferrite accelerated the FCG rate, which was attributed to rapid diffusion and accumulation of hydrogen around the fatigue crack tip through δ-ferrite in high-pressure hydrogen gas environment.

The dependence of the susceptibility to hydrogen embrittlement on δ-ferrite was first investigated in type 304 steel in hydrogen environment with high pressures, which provided the basis for the design and development of a high strength, hydrogen embrittle-resistant austenitic stainless steel.

Artificial intelligence (AI) applications pose a potential threat to users' data security and privacy due to their high data-dependence nature. This paper aims to investigate an understudied issue in the literature, namely, how users perceive the threat of and decide to use a threatening AI application. In particular, it examines the influencing factors and the mechanisms that affect an individual’s behavioral intention to use facial recognition, a threatening AI.

The authors develop a research model with trust as the key mediating variable by integrating technology threat avoidance theory, the theory of planned behavior and contextual factors related to facial recognition. Then, it is tested through a sequential mixed-methods investigation, including a qualitative study (for model development) of online comments from various platforms and a quantitative study (for model validation) using field survey data.

Perceived threat (triggered by perceived susceptibility and severity) and perceived avoidability (promoted by perceived effectiveness, perceived cost and self-efficacy) have negative and positive relationships, respectively, with an individual’s attitude toward facial recognition applications; these relationships are partially mediated by trust. In addition, perceived avoidability is positively related to perceived behavioral control, which along with attitude and subjective norm is positively related to individuals' intentions to use facial recognition applications.

This paper is among the first to examine the factors that affect the acceptance of threatening AI applications and how. The research findings extend the current literature by providing rich and novel insights into the important roles of perceived threat, perceived avoidability, and trust in affecting an individual’s attitude and intention regarding using threatening AI applications.

This articles makes the case for using existing adult protection provision to improve the wellbeing of street prostitutes, whose circumstances often render them vulnerable and in need of better co‐ordinated support.

The purpose of this paper is to draw on scientific models in conceptualising the evolutionary bases of contemporary behaviours, and make cross‐species comparisons, to account for male managerial activities in situ in health organizations.

In the animal world, males of many species display in order to induce females to mate. Such lekking behaviour involves inter alia, strutting, puffing out, catching attention via the use of ornamental physical characteristics, exhibiting gaudily‐coloured body parts, singing or splashing, and other courting and wooing strategies. The paper applies these behavioural repertoires as an explanatory device for male‐dominant organizational lekking in a set of contemporary settings. It draws on six studies of managerial talk, appearance and behaviour in order to do so.

Within the organizational lek male managers display mainly by power dressing, positioning, and exercising power and influence via verbal and behavioural means. Social and religious mores prohibit overt sexual coupling in organizations but lekking for other rewards is nevertheless pursued by male managers. The paper explores this managerial patterning, compares it to the lekking behaviour of other species, and discusses points of comparison and departure. It shows how male managers display within various sub‐habitats, and discusses the central issues of appearance, tasks and work assignment, physical interaction structure, and talk and physiognomy.

Understanding what makes people tick via deep explanations than are customarily rendered is a vital contribution of scholarship to the practical world of management.

The evolutionary bases of contemporary behaviours, and cross‐species accounts, may prove useful paradigms for other theorists and empiricists in organizational studies, and could encourage the development of a new field that might be labeled evolutionary organizational behaviour.