Search

In this paper, I analyse the act of consciousness called empathy, as proposed by Husserl in Ideas II. By applying Husserl’s phenomenological reduction, I evidence three moments that constitute empathy: first, to recognize the other Ego; second, to open myself up to the other Ego; and third, to feel with the other Ego. I investigate these eidetic universalities [Wesenallgemeinheiten] within the limits of pure intuition (HUA III, 146). To recognize the other Ego is an involuntary act that happens in consciousness when I come face-to-face with another human being. To open myself up to the other Ego is a spiritual act derived from freedom. I can decide whether or not to open myself up. If I do not, empathy is interrupted, incomplete, and I can react either affectionately or distressfully, or I can make a hasty judgement and decide either to distance myself from the other or to act. If I open myself up to the other Ego, I can react affectionately or distressfully, without much information. Another possibility is to comprehend, reflect, judge, agree or disagree, and decide either to distance myself from the other or to act in either a compassionate or a confrontational way. In this regard, empathy does not imply agreeing or acting compassionately. In short, I present a mental map of this reasoning and conclude by pointing out the need to develop empathy and the importance of having time to empathise appropriately.

The aim of this work is to study the causes of accidents in chemical processes, develop a methodology for accident prevention via control, and illustrat its realization by examples using a variety of strategies. The general concept of critical situations was introduced systematically covering both emergency and pre-emergency situations. In large-scale chemical plants, examples of accidents are presented. Accident causes as a result of disturbances and control faults in technological processes are analyzed. Approaches for preventing accidents are considered. The revealing of critical situations is presented as a problem of pattern recognition, and the subtasks of the recognition are analyzed. An emergency scale based on the assessment of various states of the chemico-technological process is introduced and applied for distinguishing the different levels of accident. The real obstacles in the prevention of accidents via control are shown and analyzed. Matrices of critical situations with corresponding characteristics are given. The main tasks for the prevention and elimination of critical situations are highlighted and characterized, and our methodology for the realization of these tasks is presented. Practical examples of the prevention of accidents in the industrial ammonia synthesis processes (including approaches and strategies) are demonstrated based on the real-time control of autothermal reactors. [ABSTRACT FROM AUTHOR]

Marketing managers and academics are recognizing a widening gap between contemporary demands of markets and the capabilities of the marketing function, calling for greater attention to identifying, developing, and retaining 'talent' in the marketing organization. However, the marketing literature provides limited and fragmented guidance on what talent management in marketing entails, how to cultivate it, and how to leverage it to positively impact marketers and key marketing outcomes. Drawing on a review of 71 articles published in top marketing and human resource management journals since 2000, we introduce the concept of Talent Management in Marketing Systems (TALMARKS). We identify six core elements of TALMARKS: attracting, recruiting and selecting, training and developing, evaluating and compensating, recognizing and rewarding, succession planning and promoting, and measuring and reporting. We further develop a comprehensive conceptual framework of TALMARKS, outlining its key antecedents, outcomes and boundary conditions. Finally, we propose a future research agenda of avenues that might provide guidance on expanding this fundamental and underdeveloped topic. [ABSTRACT FROM AUTHOR]

Abstract Background China is progressing towards the goal of schistosomiasis elimination, but there are still some problems, such as difficult management of infection source and snail control. This study aimed to develop deep learning models with high-resolution remote sensing images for recognizing and monitoring livestock bovine, which is an intermediate source of Schistosoma japonicum infection, and to evaluate the effectiveness of the models for real-world application. Methods The dataset of livestock bovine’s spatial distribution was collected from the Chinese National Platform for Common Geospatial Information Services. The high-resolution remote sensing images were further divided into training data, test data, and validation data for model development. Two recognition models based on deep learning methods (ENVINet5 and Mask R-CNN) were developed with reference to the training datasets. The performance of the developed models was evaluated by the performance metrics of precision, recall, and F1-score. Results A total of 50 typical image areas were selected, 1125 bovine objectives were labeled by the ENVINet5 model and 1277 bovine objectives were labeled by the Mask R-CNN model. For the ENVINet5 model, a total of 1598 records of bovine distribution were recognized. The model precision and recall were 81.9% and 80.2%, respectively. The F1 score was 0.81. For the Mask R-CNN mode, 1679 records of bovine objectives were identified. The model precision and recall were 87.3% and 85.2%, respectively. The F1 score was 0.87. When applying the developed models to real-world schistosomiasis-endemic regions, there were 63 bovine objectives in the original image, 53 records were extracted using the ENVINet5 model, and 57 records were extracted using the Mask R-CNN model. The successful recognition ratios were 84.1% and 90.5% for the respectively developed models. Conclusion The ENVINet5 model is very feasible when the bovine distribution is low in structure with few samples. The Mask R-CNN model has a good framework design and runs highly efficiently. The livestock recognition models developed using deep learning methods with high-resolution remote sensing images accurately recognize the spatial distribution of livestock, which could enable precise control of schistosomiasis. Graphical Abstract

Background: China is progressing towards the goal of schistosomiasis elimination, but there are still some problems, such as difficult management of infection source and snail control. This study aimed to develop deep learning models with high-resolution remote sensing images for recognizing and monitoring livestock bovine, which is an intermediate source of Schistosoma japonicum infection, and to evaluate the effectiveness of the models for real-world application. Methods: The dataset of livestock bovine's spatial distribution was collected from the Chinese National Platform for Common Geospatial Information Services. The high-resolution remote sensing images were further divided into training data, test data, and validation data for model development. Two recognition models based on deep learning methods (ENVINet5 and Mask R-CNN) were developed with reference to the training datasets. The performance of the developed models was evaluated by the performance metrics of precision, recall, and F1-score. Results: A total of 50 typical image areas were selected, 1125 bovine objectives were labeled by the ENVINet5 model and 1277 bovine objectives were labeled by the Mask R-CNN model. For the ENVINet5 model, a total of 1598 records of bovine distribution were recognized. The model precision and recall were 81.9% and 80.2%, respectively. The F1 score was 0.81. For the Mask R-CNN mode, 1679 records of bovine objectives were identified. The model precision and recall were 87.3% and 85.2%, respectively. The F1 score was 0.87. When applying the developed models to real-world schistosomiasis-endemic regions, there were 63 bovine objectives in the original image, 53 records were extracted using the ENVINet5 model, and 57 records were extracted using the Mask R-CNN model. The successful recognition ratios were 84.1% and 90.5% for the respectively developed models. Conclusion: The ENVINet5 model is very feasible when the bovine distribution is low in structure with few samples. The Mask R-CNN model has a good framework design and runs highly efficiently. The livestock recognition models developed using deep learning methods with high-resolution remote sensing images accurately recognize the spatial distribution of livestock, which could enable precise control of schistosomiasis. [ABSTRACT FROM AUTHOR]

This paper deals with the contributions of a language teacher education model by Kumaravadivelu (2012) known as KARDS (knowing, analyzing, recognizing, doing, and seeing) to Iranian English as a foreign language (EFL) university teachers’ professional identity reconstruction. The researchers used purposive sampling to select participants. A KARDS questionnaire designed, constructed, and validated by the researchers was used to group twenty teachers into a more KARDS-oriented group and a less-KARDS oriented group. Exploratory and confirmatory factor analyses showed that the questionnaire was both reliable and valid. Pre-course interview, post-course interview, teacher educator’s and teachers’ reflective journals, and class discussions were used to collect data. After the pre-course interview, there was a treatment during which teachers were familiarized with KARDS. Then, Grounded Theory was used to analyze the data. Findings indicated that there were two big shifts from “uncertainty of practice to certainty of practice” and “the use of fewer macro-strategies to the use of more macro-strategies” in teachers’ professional identities in both groups. The changes were similar and/or the same in nature but not in quantity, and they should be emphasized and included in teacher education programs. The findings may drive teacher education programs, teacher educators, and teachers to welcome and embrace uncertainty and confusion in classrooms. Suggestions to reduce “uncertainty of practice” by teacher education programs and teacher educators are presented in this paper.

Objectives: analyzing psychological issues due to covid 19 and emphasizing psychological coping mechanisms. Method: International journals found in two electronic databases were used to identify studies with large circulation: Scopus and Embase. Findings: The present epidemic in Wuhan (China) triggered by the pandemic COVID-19, corona virus infection on human sites around the world, has a major impact on global health and mental health. In addition, given all instruments used to battle virus spread, additional strategies for addressing the mental health balance in India are needed. The general issues of mental health are growing, COVID-19 patients tainted, near contacts, older citizens, kids and health staff. Most health professionals who work in isolation units and hospitals are not trained on mental health. The consequence of mass quarantine seems more likely to be fear. [ABSTRACT FROM AUTHOR]

The use of visual attention for evaluating consumer behavior has become a relevant field in recent years, allowing researchers to understand the decision-making processes beyond classical self-reports. In our research, we focused on using eye-tracking as a method to understand consumer preferences in children. Twenty-eight subjects with ages between 7 and 12 years participated in the experiment. Participants were involved in two consecutive phases. The initial phase consisted of the visualization of a set of stimuli for decision-making in an eight-position layout called Alternative Forced-choice. Then the subjects were asked to freely analyze the set of stimuli, they needed to choose the best in terms of preference. The sample was randomly divided into two groups balanced by gender. One group visualized a set of icons and the other a set of toys. The final phase was an independent assessment of each stimulus viewed in the initial phase in terms of liking/disliking using a 7-point Likert scale. Sixty-four stimuli were designed for each of the groups. The visual attention was measured using a non-obstructive eye-tracking device. The results revealed two novel insights. Firstly, the time of fixation during the last four visits to each stimulus before the decision-making instant allows us to recognize the icon or toy chosen from the eight alternatives with a 71.2 and 67.2% of accuracy, respectively. The result supports the use of visual attention measurements as an implicit tool to analyze decision-making and preferences in children. Secondly, eye movement and the choice of liking/disliking choice are influenced by stimuli design dimensions. The icon observation results revealed how gender samples have different fixation and different visit times which depend on stimuli design dimension. The toy observations results revealed how the materials determinate the largest amount fixations, also, the visit times were differentiated by gender. This research presents a relevant empirical data to understand the decision-making phenomenon by analyzing eye movement behavior. The presented method can be applied to recognize the choice likelihood between several alternatives. Finally, children’s opinions represent an extra difficulty judgment to be determined, and the eye-tracking technique seen as an implicit measure to tackle it.

The use of visual attention for evaluating consumer behavior has become a relevant field in recent years, allowing researchers to understand the decision-making processes beyond classical self-reports. In our research, we focused on using eye-tracking as a method to understand consumer preferences in children. Twenty-eight subjects with ages between 7 and 12 years participated in the experiment. Participants were involved in two consecutive phases. The initial phase consisted of the visualization of a set of stimuli for decision-making in an eight-position layout called Alternative Forced-choice. Then the subjects were asked to freely analyze the set of stimuli, they needed to choose the best in terms of preference. The sample was randomly divided into two groups balanced by gender. One group visualized a set of icons and the other a set of toys. The final phase was an independent assessment of each stimulus viewed in the initial phase in terms of liking/disliking using a 7-point Likert scale. Sixty-four stimuli were designed for each of the groups. The visual attention was measured using a non-obstructive eye-tracking device. The results revealed two novel insights. Firstly, the time of fixation during the last four visits to each stimulus before the decision-making instant allows us to recognize the icon or toy chosen from the eight alternatives with a 71.2 and 67.2% of accuracy, respectively. The result supports the use of visual attention measurements as an implicit tool to analyze decision-making and preferences in children. Secondly, eye movement and the choice of liking/disliking choice are influenced by stimuli design dimensions. The icon observation results revealed how gender samples have different fixation and different visit times which depend on stimuli design dimension. The toy observations results revealed how the materials determinate the largest amount fixations, also, the visit times were differentiated by gender. This research presents a relevant empirical data to understand the decision-making phenomenon by analyzing eye movement behavior. The presented method can be applied to recognize the choice likelihood between several alternatives. Finally, children's opinions represent an extra difficulty judgment to be determined, and the eye-tracking technique seen as an implicit measure to tackle it. [ABSTRACT FROM AUTHOR]

The development of coiled tubing operation technology has continuously improved with the higher requirements of coiled tubing on-line detection technology. The current coiled tubing field weak magnetic on-line detection system calculates the gradient of the signal for improving the locating precision. Quantitative identification of defect shape, based on the weak magnetic detection and magnetic leakage flux systems, is a key issue to evaluate whether coiled tubing can continue to be used. The 2-D finite-element models with different typical defect shapes were established, and the gradient changes of the magnetic-field intensity are calculated. The influence of defect size on signal characteristics is analyzed, and a functional model can be obtained. The signal characteristics of a 2-D self-leakage magnetic field were further analyzed, and a 2-D cloud image was established used to identify the shape of defects. The level of damage as a result of coiled tubing use is evaluated according to the identified defect shape, which is significant for a quantitative description of defects and the accurate evaluation of conditions in the coiled tubing on-line inspection system. This research of identification of defect shape and size makes up the disadvantage that weak magnetic detection can only judge whether the defect of log exists or not. [ABSTRACT FROM AUTHOR]

The implementation of early warning scoring systems and medical emergency teams that aim to reduce failure to rescue in general wards is only effective if frontline nurses can recognize and act on clinical deterioration in a timely manner. While much of the research to date has primarily focused on registered nurses as recognizers of clinical deterioration, little research has sought to explore the role of enrolled nurses in recognizing clinical deterioration and to provide a big picture of how enrolled and registered nurses recognize clinical deterioration in general ward patients. To conduct an exploration of the experiences of enrolled and registered nurses in recognizing clinically deteriorating patients in general wards. A qualitative, descriptive design. General wards at a 1,000-bed acute general hospital in Singapore. A purposive sample of 22 enrolled and registered nurses who had at least 6 months of nursing experience and who were working in the general wards. Individual semi-structured interviews were conducted between October 2016 and February 2017. Interviews were transcribed verbatim and analyzed using thematic analysis. Four salient themes emerged from the data analysis. The first, 'Having a sense of knowing', illustrates how knowing a patient and past experiences facilitated the early recognition of clinical deterioration before the patient turned haemodynamically unstable. The second, 'Patient assessment practices', depicts the physical assessment skills that nurses used to detect clinical deterioration. The third, 'Delegation of routine patient care and assessment to enrolled nurses', demonstrates that nursing activities were delegated to enrolled nurses with lesser directional and supervisory aspects that "delegation" implies, which can potentially compromise patient safety. The fourth, 'Missing the big picture', identifies overwhelming workload and fixation on specific parameters of a patient as reasons for both enrolled and registered nurses missing the big picture of the patient's deterioration. This study provides a snapshot of the recognition of clinical deterioration among enrolled and registered nurses in general wards. Our findings illuminate the need to support the roles of enrolled and registered nurses, with an emphasis on patient assessment and strengthening collaborative practices among nurses, to improve early recognition and timely treatment of clinically deteriorating ward patients. [ABSTRACT FROM AUTHOR]

In 2016, the Centers for Disease Control found that more than 1.5 million people develop sepsis each year and about 250,000 Americans die from it. Early identification and treatment of sepsis can decrease mortality and morbidity, yet studies have shown student nurses are not prepared to rescue deteriorating patients. The purpose of this pilot study was to create and test a response to rescue simulation for use with undergraduate nursing students. The simulation depicted a patient deteriorating from sepsis. The Martinez Sepsis Competency Evaluation Tool (MSCET) developed to rate student behaviors during the simulation. Promoting Excellence and Reflective Learning in Simulation (PEARLS) debriefing model was used post simulation. The overall content validity of the MSCET was 0.88. Each item that scored a I-CVI of 0.78 or less were revised. The total percentage of behaviors met was 68 %. The inter-rater reliability of the MSCET conciseness was 0.47 (X = 67.508, df = 48, p ≤.05). The results indicate the simulation based experience was effective in preparing students to care for patients with early signs of sepsis. Students were complimentary about the experience, and preliminary data on the MSCET psychometrics were positive. Limitations of the study and recommendations for further revision of the simulation were made. [ABSTRACT FROM AUTHOR]

The author offers a creative reading of Winnicott's (1967) "Mirror-role of mother and family in child development." Winnicott presents the idea that a pivotal experience in the process of the infant's coming into being as himself is the mother's communicating to the infant, by the look in her eyes, what she sees there when she looks at him. In the absence of the experience of being seen, the infant's capacity to feel real and alive atrophies. The author fleshes out Winnicott's thinking by suggesting that just as the infant comes more fully into being as he sees himself in his mother's eyes, so too, the mother comes more fully into being as a mother as she sees herself in the infant's eyes. The paradigm shift that Winnicott has contributed to psychoanalysis is reflected in the clinical work he presents: (1) the goal of psychoanalysis is no longer the enrichment of the patient's self-understanding; rather, the analytic goal is the patient's coming more fully alive to himself; and (2) the analyst helps the patient achieve this end not by making astute interpretations but by allowing the patient to experience the pleasure of making discoveries of his or her own.

Recognizing child sexual abuse (CSA) in children is difficult, as there can be many hurdles in the assessment of alleged CSA. With this paper, we try to improve the recognition of CSA by discussing: (1) the difficulties regarding this matter and (2) the diagnostic evaluation of alleged CSA, combining both practical clinical recommendations based on recent research. Children are restrained to disclose CSA due to various reasons, such as fears, shame, and linguistic or verbal limitations. Associations between CSA and urogenital or gastrointestinal symptoms, internalizing and externalizing behavioral problems, post-traumatic stress symptoms, and atypical sexual behavior in children have been reported. However, these symptoms are non-specific for CSA. The majority of sexually abused children do not display signs of penetrative trauma at anogenital examination. Diagnosing a STI in a child can indicate CSA. However, other transmission routes (e.g., vertical transmission, auto-inoculation) need to be considered as well.Conclusion: The assessment consists of medical interview and child interview (parents and child separate and together) with special attention to the child's development and behavior (problems), psychosocial situation and physical complaints, the child's mental health, and the child's trauma history; anogenital examination should be done in all cases of alleged CSA. The examination should be documented by photo or video graphically. Recent research suggests that videography may be the preferred method, and testing on STIs. The assessment should be done multidisciplinary by experienced professionals. Health-care professionals who care for children need to know how child protective agencies and law enforcement are organized. In case there are concerns about a child's safety, the appropriate authorities should be alarmed. What is Known: • Sexual abuse in children often remains unrecognized in the majority of cases. What is New: • Research suggests that videographic documentation is preferred above photographic documentation for anogenital examination; observations of children's behavioral reactions during examinations might be valuable in the evaluation of suspected sexual abuse; nucleic acid amplification testing can be used on vaginal swabs or urine samples for chlamydia and gonorrhea; the CRIES-13 and the CAPS-CA can be used to assess trauma-symptoms in children after sexual abuse. [ABSTRACT FROM AUTHOR]

Incivility in nursing education is an unfortunate phenomenon affecting nursing students in all aspects of their educational experience. Students and their instructors are often ill equipped to deal with academic incivility and their lack of ability to handle such behaviors has proven detrimental to the future of the nursing profession. Nursing instructors need tools to help educate nursing students on how to recognize uncivil behaviors within themselves as well as others and ways to combat it. This research project addressed these aspects of academic incivility and implemented an e-learning module that was developed to educate students on incivility. The data was collected through a pre-test, post-test model with resulting statistical analysis using the McNemar's test. Results showed the nursing students obtained increased self-efficacy in regards to their ability to define, detect, and combat academic incivility after viewing the e-learning module. In conclusion, the successful implementation of the e-learning module provides further incentive for schools of nursing to consider implementing incivility education in their curriculums. [ABSTRACT FROM AUTHOR]

This article describes the need for assessment literacy among less commonly taught language (LCTL) educators as well as one approach toward providing professional development to such educators. This article first provides background on assessment literacy and, specifically, language assessment literacy. It documents the critical role assessment plays in language programs to ensure that student learning outcomes can be documented. Next, it examines the specific challenges of assessment for LCTL instructors, both because of the dearth of assessments in these languages and as the assessment background of LCTL instructors, which, like that of many foreign language educators, may be limited. To illustrate one approach to improving assessment literacy in LCTL instructors, this article describes a case study that suggests that blended learning may be a successful professional development method for LCTL instructors. Finally, the article explores the challenges and opportunities inherent to such an approach, while also recognizing the limitations.

Copyright of Revista de Paz y Conflictos is the property of Revista de Paz y Confilictos and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In this article the author discusses how having a 'Negative body image'and disordered eating behaviour are predisposing factors to the development of clinical eating disorders which have high morbidity and mortality in individuals affected. He also highlights that practice nurses can play an important role in recognizing and supporting such females.

The discipline of nursing embraces the unitary-transformative paradigm and its theories that focus on nursing with attention to the language of humanbecoming, holism, relationship, authentic presence, caring, ethical interaction, complexity, pattern, energy, and recognition. In hospital nursing practice the medical paradigm is more prevalent and focuses on regulatory compliance, the standardization of technical language of the electronic health record, and the implementation of evidence-based practice initiatives for patient safety and quality improvement. Nursing and nursing theories are considered a moral enterprise; they involve seeking the good or caring for patients, others, and complex systems. With the continued influence of the medical paradigm, the questions for nursing are: what kind of good does nursing want to promote, and what unique contribution to patient care do nurses provide through their language, theories, and practice? A new mnemonic of Recognizing, Connecting, Partnering, and Reflecting is proposed. [ABSTRACT FROM PUBLISHER]

A multi-character recognition method based on hidden Markov model (HMM) was presented. The method can reduce the calculation load of correlation and improve recognition accuracy compared with single-character recognition in video. The characteristics used for recognizing include the shape character, the color character, the texture character and so on. Even our human being generally uses these characteristics to recognize objects in practice. A recognition experiment of 17 fishes was carried out in the paper. The experimental results demonstrate the high veracity of the multi-character recognition algorithm. Together with the tracking process, it can handle dynamic objects, so the multi-character recognition is more like the human recognition, and has great application value. [ABSTRACT FROM AUTHOR]

Copyright of Pratiques Psychologiques is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Abstract: Complications can occur after any operation, but are most likely after major surgery or in patients with significant cardiac or respiratory comorbidity. They range from distressing or inconvenient to life-threatening. Complications causing failure of a single body organ or system can lead to multiple system failure or even death. Investigating and treating complications (and litigation) cost the UK NHS billions of pounds every year. For example, a simple wound infection delays discharge from hospital by an average of 7 days, and costs an extra £1700. Surgery injures and kills cells, causing inflammatory mediators (e.g. cytokines, thromboxanes, leukotrienes, prostaglandins, nitric oxide) to be released. The inflammatory response prevents introduction of infection into the body and promotes healing. An uncomplicated recovery from surgery relies on the body being able to increase its metabolic rate to maintain its normal homeostatic mechanisms and mount an adequate inflammatory response. The normal source of energy for a cell is derived from adenosine triphosphate (ATP), created during the metabolism of glucose in the presence of oxygen. Aerobic respiration, utilizing the citric acid cycle and oxidative phosphorylation inside mitochondria, liberates sufficient energy to create 36 ATP molecules per glucose molecule. Without oxygen, only 2 ATP molecules and 2 pyruvate molecules are created per glucose molecule; pyruvate is converted to lactate. If oxygen or glucose is in short supply during or after surgery, cells switch to anaerobic metabolism, producing such small amounts of energy that membrane pumps fail. The cell swells and is eventually irreversibly damaged or ruptures. Cells with a high demand for oxygen (e.g. myocardial cells, neurons) are especially susceptible. Most postoperative complications develop when organs fail to function correctly because oxygen supply to their cells does not meet demand. The prevention of complications is paramount and, on a physiological level, can be thought of as providing cells with sufficient oxygen and glucose to meet their energy demands. This occurs when blood is oxygenated adequately and the heart can produce enough systolic pressure to perfuse the tissues. Patients must be assessed preoperatively to identify those at increased risk of postoperative hypoxaemia or organ hypoperfusion, so that their condition can be optimized and appropriate postoperative monitoring instituted (e.g. admission to an HDU). Prompt identification of postoperative hypoxaemia or organ hypoperfusion, followed by appropriate intervention, limits the severity of complications and prevents the spiral into multi-organ failure. This contribution discusses postoperative complications by reference to common scenarios. [Copyright &y& Elsevier]

In the photogrammetry, some researcher have applied genetic algorithms in aerial image texture classification and reducing hyper-spectrum remote sensing data. Genetic algorithm can rapidly find the solutions which are close to the optimal solution. But it is not easy to find the optimal solution. In order to solve the problem, a cooperative evolution idea integrating genetic algorithm and ant colony algorithm is presented in this paper. On the basis of the advantages of ant colony algorithm, this paper proposes the method integrating genetic algorithms and ant colony algorithm to overcome the drawback of genetic algorithms. Moreover, the paper takes designing texture classification masks of aerial images as an example to illustrate the integration theory and procedures. [ABSTRACT FROM AUTHOR]

A simple computer-generated agent was developed of which four behavioral aspects could be altered. Emotional behavior was defined and simulated in terms of these aspects. Participants matched a list of six emotions to the animated emotional behavior of the agent. Results suggest that it is possible to identify emotions from a set of simulated modulation patterns. The successful simulation of a computer-generated "emotional" agent supports a behavioral theory of emotion. In addition, it reveals an almost overlooked aspect of emotion that may spark further research and shows the fertility of the approach known as "artificial life" for the field of psychology. [ABSTRACT FROM AUTHOR]