Biological Processes for Pollution Control: Current Research and Emerging Technologies 2020.

Attention Theory and Mechanisms for Skilled Performance

Are we the robots? This question surfaces often in current psychological research, as various kinds of robot parts—automatic actions, mental mechanisms, even neural circuits—keep appearing in our explanations of human behavior. Automatic processes seem responsible for a wide range of the things we do, a fact that may leave us feeling, if not fully robotic, at least a bit nonhuman. The complement of the automatic process in contemporary psychology, of course, is the controlled process (Atkinson & Shiffrin, 1968; Bargh, 1984; Posner & Snyder, 1975; Shiffrin & Schnieder, 1977), and it is in theories of controlled processes that vestiges of our humanity reappear. Controlled processes are viewed as conscious, effortful, and intentional, and as drawing on more sources of information than automatic processes. With this power of conscious will, controlled processes seem to bring the civilized quality back to psychological explanation that automatic processes leave out. Yet by reintroducing this touch of humanity, the notion of a controlled process also brings us within glimpsing range of a fatal theoretical error—the idea that there is a controller.

A framework for human-centered production planning and control in smart manufacturing

Decision-making in Manufacturing Planning and Control Systems uses processes that consider several levels of product aggregation and different time horizons. Decisions rendered on each level do not always have similar goals. The problem is that building Intelligent Manufacturing Systems (IMS) involves coordinate decisions on different levels to achieve a common objective. There is no current research on IMS regarding coordination among decision levels in Product-driven Control Systems, hence simulations of the planning and control processes should be conducted to analyze the behavior of multilevel objectives. Accordingly, in this paper a simulation model gives account of different coordination issues between tactical and operational levels. At the tactical level, production plans are generated by an Advanced Planning and Scheduling system, whereas at the operational level, a distributed decision rule is used. The whole simulation makes decentralized decisions that are managed by production lots represented by holons. Results for our simulation indicate that coordination among active lots is capable of making effective multilevel distributed decisions when compared with conventional approaches.

Go/no-go for food: Attention bias and intention to eat unhealthy food

Investigation of the sludge reduction mechanism in the anaerobic side-stream reactor process using several control biological wastewater treatment processes

FIGURE 1. The Atkinson and Shiffrin Model of memory is diagramed in the gray panel. Sensory information is perceived and suppressed via selective attention processes, then briefly held in the limited-capacity modality-specific sensory register. Information enhanced by selective attention enters into short term memory (STM). The process of rehearsal (maintenance) can sustain information in STM. Information in STM is automatically encoded (stored, consolidated) into long term memory (LTM). Although flawed, this model continues to provide a simple and easy approach to understanding memory. Assumptions that proved to be inconsistent with research included that any information in STM will transfer to LTM and that STM is required

Pig farmers’ perceptions, attitudes, influences and management of information in the decision-making process for disease control

This article is devoted to the study of financial marketing and its development prospects in Ukraine. Financial marketing is an important tool for financial institutions, companies and organizations that helps to achieve success in a competitive market. The article examines the basic concepts and principles of financial marketing, such as market segmentation, target positioning, product development, and market promotion. The author analyzes the differences and disagreements between such concepts as: financial marketing and marketing of financial services. The author’s definition of financial marketing is provided as “the process of planning, implementation and control of marketing strategies and activities aimed at the formation, promotion and promotion of financial products and services, attracting new customers, increasing sales of financial assets and maintaining relations with existing customers in the financial sector”. Special attention is paid to the analysis of prospects for the development of financial marketing in Ukraine. Current trends and challenges faced by financial institutions in Ukraine are considered. The importance of innovations and technologies in financial marketing is noted, as well as the impact of digitalization on the development of this field of activity. The author of the article predicts the future development of financial marketing in Ukraine and formulates recommendations for achieving competitive advantages by financial institutions under the conditions of applying marketing innovations. This article is based on current research and professional literary sources, and also takes into account the specifics of the development of the financial services market of Ukraine. It can be useful for specialists in the field of finance, marketing and strategic management, as well as for business leaders and managers who are interested in issues of the financial sphere in Ukraine.

Production planning and control (PPC) requires human decision-making in several process steps like production program planning, production data management, and performance measurement. Thereby, human decisions are often biased leading to an aggravation of logistic performance. Exemplary, the lead time syndrome (LTS) shows this connection. While production planners aim to improve due date reliability by updating planned lead times, the result is actually a decreasing due date reliability. In current research in the field of production logistics, the impact of cognitive biases on the decision-making process in production planning and control remains at a silent place. We aim to close this research gap by combining a systematic literature review on behavioral operation management and cognitive biases with a case study from the steel industry to show the influence of cognitive biases on human decision-making in production planning and the impact on logistic performance. The result is the definition of guidelines considering human behavior for the design of decision support systems to improve logistic performance.

Guizhi Fuling Formulation: A review on chemical constituents, quality control, pharmacokinetic studies, pharmacological properties, adverse reactions and clinical applications

Cognitive-Affective Processes and Academic Conscientiousness

Review of the micro and Macro mechanisms of gel-based plugging agents for enhancing oil recovery of unconventional water flooding oil reservoirs

Study of water direct injection on knock control and combustion process of a high compression ratio GDI engine

Additive manufacturing (AM) is a novel way of manufacturing in the recent decade, and it has complexity free and customization advantages over subtractive manufacturing. Fused deposition modeling (FDM) belongs to AM, and it fabricates products using liquefied thermoplastic material. Products are manufactured layer-by-layer based on 3D computer aided designs (CAD). As a new technology, quality of outgoing products is the key aspect that people focus on. Engineering process control (EPC) and statistical process control (SPC) are two ways to guarantee and improve product quality. EPC has already been used in FDM to give feedback control of the process based on detected variations. However, very infrequent work has been done on SPC in FDM to reduce variation in manufacturing process, so that assignable causes can be detected when they occur. This paper summarizes current research in quality control for FDM, including process and quality parameters, measuring instruments, and current EPC and SPC methods. Future trends in this research area are discussed finally.