Instructional Support for Enhancing Students’ Information Problem Solving Ability

Brand-Gruwel, S., & Gerjets, P. (Eds.). (2008). Instructional Support for Enhancing Students’ Information Problem Solving Ability [Special issue]. Computers in Human Behavior, 24(3).This special issue discusses European research on instructional support to foster students’ ability to solve information-based problems. In this introduction, the concept of information problem solving (IPS) and research in this field of interest will be placed in the broader perspective, which is called information behavior. The focus of this special issue is an educational one and the papers all go into a specific kind of instructional support. The main research questions, findings and conclusions of the six contributions will be outlined. It is concluded that the most important directions for future research deal with how instructional support for different aspect of the process, like for instance how to regulated the process, best can be designed in order to make the instruction adaptive and fit to the learners needs

The implications of primate behavioral flexibility for sustainable human–primate coexistence in anthropogenic habitats

This is the author accepted manuscript. The final version is available from the publisher via the DOI in this recordPeople are an inescapable aspect of most environments inhabited by nonhuman primates today. Consequently, interest has grown in how primates adjust their behavior to live in anthropogenic habitats. However, our understanding of primate behavioral flexibility and the degree to which it will enable primates to survive alongside people in the long term remains limited. This Special Issue brings together a collection of papers that extend our knowledge of this subject. In this introduction, we first review the literature to identify past and present trends in research and then introduce the contributions to this Special Issue. Our literature review confirms that publications on primate behavior in anthropogenic habitats, including interactions with people, increased markedly since the 2000s. Publications concern a diversity of primates but include only 17% of currently recognized species, with certain primates overrepresented in studies, e.g., chimpanzees and macaques. Primates exhibit behavioral flexibility in anthropogenic habitats in various ways, most commonly documented as dietary adjustments, i.e., incorporation of human foods including agricultural crops and provisioned items, and as differences in activity, ranging, grouping patterns, and social organization, associated with changing anthropogenic factors. Publications are more likely to include information on negative rather than positive or neutral interactions between humans and primates. The contributions to this Special Issue include both empirical research and reviews that examine various aspects of the human–primate interface. Collectively, they show that primate behavior in shared landscapes does not always conflict with human interests, and demonstrate the value of examining behavior from a cost–benefit perspective without making prior assumptions concerning the nature of interactions. Careful interdisciplinary research has the potential to greatly improve our understanding of the complexities of human–primate interactions, and is crucial for identifying appropriate mechanisms to enable sustainable human–primate coexistence in the 21st century and beyond.Fundação para a Ciência e a Tecnologia, Portuga

Introduction: Origins and Settlement of the Indigenous Populations of the Aleutian Archipelago

The series of papers in this special issue of Human Biology use an interdisciplinary approach to address regional questions and to integrate disparate Aleutian data into a broad, synthetic effort. The contributors leverage decades of data on Aleut origins, biogeography, and behavior through integration of molecular analyses, linguistics, archaeology, and ethnography. This research explores the origin and colonization of the Aleutian archipelago, communication and the extent of prehistoric cultural exchange among Aleut subgroups, ethnographic information as applied to human biological variation, metric and genetic variation among Aleut groups, and prehistoric dietary reconstruction

Introduction

Within library and information science (LIS), the study of information behavior has traditionally focused on documentary sources of information and to some degree information that is shared through interaction.1 Such an emphasis reflects the origins of the whole field in the study of the information behavior of users of libraries and other institutions that provide access to encoded forms of knowledge. Yet the centrality of embodied experience in all aspects of human life makes the relative neglect of the body in information behavior studies surprising and potentially problematic, as a number of authors have suggested (Cox, Griffin, and Hartel 2017; Lueg 2014, 2015; Lloyd 2009, 2010, 2014; Olsson, 2010, 2016). This special double issue of Library Trends on “Information and the Body” brings together researchers interested in embodied information, including in how we receive information through the senses, what the body “knows,” and the way the body is a sign that can be interpreted by others

Sensory marketing, embodiment, and grounded cognition: A review and introduction

There has been a recent swell of interest in marketing as well as psychology pertaining to the role of sensory experiences in judgment and decision making. Within marketing, the field of sensory marketing has developed which explores the role of the senses in consumer behavior. In psychology, the dominant computer metaphor of information processing has been challenged by researchers demonstrating various manners in which mental activity is grounded in sensory experience. These findings are arduous to explain using the amodal model of the human mind. In this introduction, we first delineate key assumptions of the information processing paradigm and then discuss some of the key conceptual challenges posed by the research generally appearing under the titles of embodiment, grounded cognition, or sensory marketing. We then address the use of bodily feelings as a source of information; next, we turn to the role of context sensitive perception, imagery, and simulation in consumer behavior, and finally discuss the role of metaphors. Through this discourse, we note the contributions to the present special issue as applicable.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/141359/1/jcpy159.pd

Symmetry-Adapted Machine Learning for Information Security

Symmetry-adapted machine learning has shown encouraging ability to mitigate the security risks in information and communication technology (ICT) systems. It is a subset of artificial intelligence (AI) that relies on the principles of processing future events by learning past events or historical data. The autonomous nature of symmetry-adapted machine learning supports effective data processing and analysis for security detection in ICT systems without the interference of human authorities. Many industries are developing machine-learning-adapted solutions to support security for smart hardware, distributed computing, and the cloud. In our Special Issue book, we focus on the deployment of symmetry-adapted machine learning for information security in various application areas. This security approach can support effective methods to handle the dynamic nature of security attacks by extraction and analysis of data to identify hidden patterns of data. The main topics of this Issue include malware classification, an intrusion detection system, image watermarking, color image watermarking, battlefield target aggregation behavior recognition model, IP camera, Internet of Things (IoT) security, service function chain, indoor positioning system, and crypto-analysis

The implications of primate behavioral flexibility for sustainable human–primate coexistence in anthropogenic habitats

People are an inescapable aspect of most environments inhabited by nonhuman primates today. Consequently, interest has grown in how primates adjust their behavior to live in anthropogenic habitats. However, our understanding of primate behavioral flexibility and the degree to which it will enable primates to survive alongside people in the long term remains limited. This Special Issue brings together a collection of papers that extend our knowledge of this subject. In this introduction, we first review the literature to identify past and present trends in research and then introduce the contributions to this Special Issue. Our literature review confirms that publications on primate behavior in anthropogenic habitats, including interactions with people, increased markedly since the 2000s. Publications concern a diversity of primates but include only 17% of currently recognized species, with certain primates overrepresented in studies, e.g., chimpanzees and macaques. Primates exhibit behavioral flexibility in anthropogenic habitats in various ways, most commonly documented as dietary adjustments, i.e., incorporation of human foods including agricultural crops and provisioned items, and as differences in activity, ranging, grouping patterns, and social organization, associated with changing anthropogenic factors. Publications are more likely to include information on negative rather than positive or neutral interactions between humans and primates. The contributions to this Special Issue include both empirical research and reviews that examine various aspects of the human–primate interface. Collectively, they show that primate behavior in shared landscapes does not always conflict with human interests, and demonstrate the value of examining behavior from a cost–benefit perspective without making prior assumptions concerning the nature of interactions. Careful interdisciplinary research has the potential to greatly improve our understanding of the complexities of human–primate interactions, and is crucial for identifying appropriate mechanisms to enable sustainable human–primate coexistence in the 21st century and beyond

Towards a NeuroIS Research Methodology: Intensifying the Discussion on Methods, Tools, and Measurement

The genesis of the Neuro-Information Systems (NeuroIS) field took place in 2007. Since then, a considerable number of IS scholars and academics from related disciplines have started to use theories, methods, and tools from neuroscience and psychophysiology to better understand human cognition, emotion, and behavior in IS contexts, and to develop neuro-adaptive information systems (i.e., systems that recognize the physiological state of the user and that adapt, based on that information, in real-time). However, because the NeuroIS field is still in a nascent stage, IS scholars need to become familiar with the methods, tools, and measurements that are used in neuroscience and psychophysiology. Against the background of the increased importance of methodological discussions in the NeuroIS field, the Journal of the Association for Information Systems published a special issue call for papers entitled “Methods, tools, and measurement in NeuroIS research” in 2012. We, the special issue’s guest editors, accepted three papers after a stringent review process, which appear in this special issue. In addition to these three papers, we hope to intensify the discussion on NeuroIS research methodology, and to this end we present the current paper. Importantly, our observations during the review process (particularly with respect to methodology) and our own reading of the literature and the scientific discourse during conferences served as input for this paper. Specifically, we argue that six factors, among others that will become evident in future discussions, are critical for a rigorous NeuroIS research methodology; namely, reliability, validity, sensitivity, diagnosticity, objectivity, and intrusiveness of a measurement instrument. NeuroIS researchers—independent from whether their role is editor, reviewer, or author—should carefully give thought to these factors. We hope that the discussion in this paper instigates future contributions to a growing understanding towards a NeuroIS research methodology

Advances in Sensors, Big Data and Machine Learning in Intelligent Animal Farming

Animal production (e.g., milk, meat, and eggs) provides valuable protein production for human beings and animals. However, animal production is facing several challenges worldwide such as environmental impacts and animal welfare/health concerns. In animal farming operations, accurate and efficient monitoring of animal information and behavior can help analyze the health and welfare status of animals and identify sick or abnormal individuals at an early stage to reduce economic losses and protect animal welfare. In recent years, there has been growing interest in animal welfare. At present, sensors, big data, machine learning, and artificial intelligence are used to improve management efficiency, reduce production costs, and enhance animal welfare. Although these technologies still have challenges and limitations, the application and exploration of these technologies in animal farms will greatly promote the intelligent management of farms. Therefore, this Special Issue will collect original papers with novel contributions based on technologies such as sensors, big data, machine learning, and artificial intelligence to study animal behavior monitoring and recognition, environmental monitoring, health evaluation, etc., to promote intelligent and accurate animal farm management

Short but not sweet - new evidence on short duration morbidities from India

India spends 6 percent of its GDP on health-three times the amount spent by Indonesia and twice that of China-and spending on non-chronic morbidities is three times that of chronic illnesses. It is normally assumed that the high spending on non-chronic illnesses reflects the prevalence of morbidities with high case-fatality or case-disability ratios. But there is little data that can be used to separate out spending by type of illness. The authors address this issue with a unique dataset where 1,621 individuals in Delhi were observed for 16 weeks through detailed weekly interviews on morbidity and health-seeking behavior. The authors'findings are surprising and contrary to the normal view of health spending. They define a new class of illnesses as"short duration morbidities"if they are classified as non-chronic in the international classification of disease and are medically expected to last less than two weeks. The authors show that short duration morbidities are important in terms of prevalence, practitioner visits, and household health expenditure: Individuals report a short duration morbidity in one out of every five weeks. Moreover, one out of every three weeks reported with a short duration morbidity results in a doctor visit, and each week sick with such a morbidity increases health expenditure by 25 percent. Further, the absolute spending on short duration morbidities is similar across poor and rich income households. The authors discuss the implications of these findings in understanding household health behavior in an urban context, with special emphasis on the role of information in health-seeking behavior.Health Systems Development&Reform,Public Health Promotion,Disease Control&Prevention,Health Monitoring&Evaluation,Health Economics&Finance,Health Monitoring&Evaluation,Health Economics&Finance,Health Systems Development&Reform,Environmental Economics&Policies,Housing&Human Habitats