Developing a New Wireless Sensor Network Platform and Its Application in Precision Agriculture

Wireless sensor networks are gaining greater attention from the research community and industrial professionals because these small pieces of “smart dust” offer great advantages due to their small size, low power consumption, easy integration and support for “green” applications. Green applications are considered a hot topic in intelligent environments, ubiquitous and pervasive computing. This work evaluates a new wireless sensor network platform and its application in precision agriculture, including its embedded operating system and its routing algorithm. To validate the technological platform and the embedded operating system, two different routing strategies were compared: hierarchical and flat. Both of these routing algorithms were tested in a small-scale network applied to a watermelon field. However, we strongly believe that this technological platform can be also applied to precision agriculture because it incorporates a modified version of LORA-CBF, a wireless location-based routing algorithm that uses cluster-based flooding. Cluster-based flooding addresses the scalability concerns of wireless sensor networks, while the modified LORA-CBF routing algorithm includes a metric to monitor residual battery energy. Furthermore, results show that the modified version of LORA-CBF functions well with both the flat and hierarchical algorithms, although it functions better with the flat algorithm in a small-scale agricultural network

Flexibility and Fairness in Liberal Market Economies: The Comparative Impact of the Legal Environment and High Performance Work Systems

This paper compares management flexibility in employment decision-making in the United States and Canada through a cross-national survey of organizations in representative jurisdictions in each country, Pennsylvania and Ontario respectively, that investigates the impact of differences in their legal environments. The results indicate that, compared to their Ontario counterparts, organizations in Pennsylvania have a higher degree of flexibility in employment outcomes, such as higher dismissal and discipline rates, yet do not experience any greater flexibility or simplicity in management hiring and firing decisions. One explanation for this result may lie in the finding that organizations in Pennsylvania experience greater legal pressures on decision making, reflecting the generally more intense conflict in the employment law system in the United States. By contrast, high performance work systems, which some have looked to as a possible management-driven mechanism for enhancing fairness in employment, had more modest effects

Regulation of Coronary Blood Flow

The heart is uniquely responsible for providing its own blood supply through the coronary circulation. Regulation of coronary blood flow is quite complex and, after over 100 years of dedicated research, is understood to be dictated through multiple mechanisms that include extravascular compressive forces (tissue pressure), coronary perfusion pressure, myogenic, local metabolic, endothelial as well as neural and hormonal influences. While each of these determinants can have profound influence over myocardial perfusion, largely through effects on end-effector ion channels, these mechanisms collectively modulate coronary vascular resistance and act to ensure that the myocardial requirements for oxygen and substrates are adequately provided by the coronary circulation. The purpose of this series of Comprehensive Physiology is to highlight current knowledge regarding the physiologic regulation of coronary blood flow, with emphasis on functional anatomy and the interplay between the physical and biological determinants of myocardial oxygen delivery. © 2017 American Physiological Society. Compr Physiol 7:321-382, 2017

Evidence-based Kernels: Fundamental Units of Behavioral Influence

This paper describes evidence-based kernels, fundamental units of behavioral influence that appear to underlie effective prevention and treatment for children, adults, and families. A kernel is a behavior–influence procedure shown through experimental analysis to affect a specific behavior and that is indivisible in the sense that removing any of its components would render it inert. Existing evidence shows that a variety of kernels can influence behavior in context, and some evidence suggests that frequent use or sufficient use of some kernels may produce longer lasting behavioral shifts. The analysis of kernels could contribute to an empirically based theory of behavioral influence, augment existing prevention or treatment efforts, facilitate the dissemination of effective prevention and treatment practices, clarify the active ingredients in existing interventions, and contribute to efficiently developing interventions that are more effective. Kernels involve one or more of the following mechanisms of behavior influence: reinforcement, altering antecedents, changing verbal relational responding, or changing physiological states directly. The paper describes 52 of these kernels, and details practical, theoretical, and research implications, including calling for a national database of kernels that influence human behavior

Wireless sensor networks for ambient assisted living

xxxxxThis paper introduces wireless sensor networks for Ambient Assisted Living as a proof of concept. Our workgroup has developed an arrhythmia detection algorithm that we evaluate in a closed space using a wireless sensor network to relay the information collected to where the information can be registered, monitored and analyzed to support medical decisions by healthcare providers. The prototype we developed is then evaluated using the TelosB platform. The proposed architecture considers very specific restrictions regarding the use of wireless sensor networks in clinical situations. The seamless integration of the system architecture enables both mobile node and network configuration, thus providing the versatile and robust characteristics necessary for real-time applications in medical situations. Likewise, this system architecture efficiently permits the different components of our proposed platform to interact efficiently within the parameters of this stud

Employing Collaborative Learning Strategies in Online Conflict Resolution

Although some critics may argue that conflictresolution cannot be carried out appropriately by virtualeducation, the basic elements of conflict present themselveswithin distance education courses, which can provide richenvironments to practice mediation and resolution. Newcommunication technologies and Internet tools maketraining persons from all over the world possible, thuspermitting conflict resolution tools to cascade withindifferent pluralistic organizations or groups of persons fromdifferent backgrounds that must interact in order to achievea common goal. Conflict resolution, in short, adds to thepositive socio-emotional atmosphere of an organization andleads to greater trust, a vital component in anyorganization. The innovative use of technology and Internettools provides a new medium for conflict resolution thatrepresents an interesting and important area of research.The methodology we propose permits participants to notonly coexist within a distance education course, but toactually overcome barriers to cooperation, includinginterpersonal, cultural, ethnic, religious, and organizationaldifferences, to name a few. Conflict is a naturalphenomenon that occurs as a consequence of humaninteraction. The goal of our research is to provide a spacefor individuals to master the skills necessary to minimizethe negative consequences that can result when the sourcesof conflicts are not quickly identified, confronted andresolved in a fair and amicable atmosphere of mutualcaring and respect