The Effects of the 14th-Century Plague on Medieval European Society and Parallels in the 2014 Ebola Outbreak

Disease represents a strong driving force of societal and cultural change, which repeats itself today. During the 14th century, the Plague ravaged Europe, and fear of illness, destruction, and hopelessness changed society. Fear of the Plague altered the religious climate of the entire continent and drove many to commit acts of violence. Lack of knowledge about the Plague changed the way medicine was taught and practiced, moving towards modern medicine. Governments began to take a more active role in the health of the citizens, and national legislation began having greater impacts at the local level. The centuries old economic structure began to crumble, setting the stage for more balanced, free-market trade. Those factors—mentality, medicine, law, and economics—elicited similar reactions in the 2014 Ebola Outbreak. Fear of Ebola resulted in violence. Medical researchers were inspired by the outbreak to learn more about Ebola and are looking for potential cures and vaccines. Laws restricting travel and advocating healthy practices dominated the infected countries. The economies of the diseased areas suffered. Little has changed in the nature of people in medieval Europe and today; though centuries have passed, societies respond to disease in the same fundamental ways. Disease represents a strong driving force of societal and cultural change, which repeats itself today. During the 14th century, the Plague ravaged Europe, and fear of illness, destruction, and hopelessness changed society. Fear of the Plague altered the religious climate of the entire continent and drove many to commit acts of violence. Lack of knowledge about the Plague changed the way medicine was taught and practiced, moving towards modern medicine. Governments began to take a more active role in the health of the citizens, and national legislation began having greater impacts at the local level. The centuries old economic structure began to crumble, setting the stage for more balanced, free-market trade. Those factors—mentality, medicine, law, and economics—elicited similar reactions in the 2014 Ebola Outbreak. Fear of Ebola resulted in violence. Medical researchers were inspired by the outbreak to learn more about Ebola and are looking for potential cures and vaccines. Laws restricting travel and advocating healthy practices dominated the infected countries. The economies of the diseased areas suffered. Little has changed in the nature of people in medieval Europe and today; though centuries have passed, societies respond to disease in the same fundamental ways

Similarity-Based Framework for Unsupervised Domain Adaptation: Peer Reviewing Policy for Pseudo-Labeling

The inherent dependency of deep learning models on labeled data is a well-known problem and one of the barriers that slows down the integration of such methods into different fields of applied sciences and engineering, in which experimental and numerical methods can easily generate a colossal amount of unlabeled data. This paper proposes an unsupervised domain adaptation methodology that mimics the peer review process to label new observations in a different domain from the training set. The approach evaluates the validity of a hypothesis using domain knowledge acquired from the training set through a similarity analysis, exploring the projected feature space to examine the class centroid shifts. The methodology is tested on a binary classification problem, where synthetic images of cubes and cylinders in different orientations are generated. The methodology improves the accuracy of the object classifier from 60% to around 90% in the case of a domain shift in physical feature space without human labeling

Model Predictive Evolutionary Temperature Control via Neural-Network-Based Digital Twins

In this study, we propose a population-based, data-driven intelligent controller that leverages neural-network-based digital twins for hypothesis testing. Initially, a diverse set of control laws is generated using genetic programming with the digital twin of the system, facilitating a robust response to unknown disturbances. During inference, the trained digital twin is utilized to virtually test alternative control actions for a multi-objective optimization task associated with each control action. Subsequently, the best policy is applied to the system. To evaluate the proposed model predictive control pipeline, experiments are conducted on a multi-mode heat transfer test rig. The objective is to achieve homogeneous cooling over the surface, minimizing the occurrence of hot spots and energy consumption. The measured variable vector comprises high dimensional infrared camera measurements arranged as a sequence (655,360 inputs), while the control variable includes power settings for fans responsible for convective cooling (3 outputs). Disturbances are induced by randomly altering the local heat loads. The findings reveal that by utilizing an evolutionary algorithm on measured data, a population of control laws can be effectively learned in the virtual space. This empowers the system to deliver robust performance. Significantly, the digital twin-assisted, population-based model predictive control (MPC) pipeline emerges as a superior approach compared to individual control models, especially when facing sudden and random changes in local heat loads. Leveraging the digital twin to virtually test alternative control policies leads to substantial improvements in the controller’s performance, even with limited training data

Exploring the Limits of High Altitude GPS for Future Lunar Missions

An increasing number of spacecraft are relying on the Global Positioning System (GPS) for navigation at altitudes near or above the GPS constellation itself - the region known as the Space Service Volume (SSV). While the formal definition of the SSV ends at geostationary altitude, the practical limit of high-altitude space usage is not known, and recent missions have demonstrated that signal availability is sufficient for operational navigation at altitudes halfway to the moon. This paper presents simulation results based on a high-fidelity model of the GPS constellation, calibrated and validated through comparisons of simulated GPS signal availability and strength with flight data from recent high-altitude missions including the Geostationary Operational Environmental Satellite 16 (GOES-16) and the Magnetospheric Multiscale (MMS) mission. This improved model is applied to the transfer to a lunar near-rectilinear halo orbit (NRHO) of the class being considered for the international Deep Space Gateway concept. The number of GPS signals visible and their received signal strengths are presented as a function of receiver altitude in order to explore the practical upper limit of high-altitude space usage of GPS

Use and Protection of GPS Sidelobe Signals for Enhanced Navigation Performance in High Earth Orbit

The application of the Global Positioning System (GPS) for navigation of spacecraft in High and Geosynchronous Earth Orbit (HEO/GEO) has crossed a threshold and is now being employed in operational missions. Utilizing advanced GPS receivers optimized for these missions, space users have made extensive use of the sidelobe transmissions from the GPS satellites to realize navigation performance that far exceeds that predicted by pre-launch simulations. Unfortunately, the official specification for the GPS Space Service Volume (SSV), developed in 2006, assumes that only signals emanating from the main beam of the GPS transmit antenna are useful for navigation, which greatly under-estimates the number of signals available for navigation purposes. As a result, future high-altitude space users may be vulnerable to any GPS design changes that suppress the sidelobe transmissions, beginning with Block III space vehicles (SVs) 11-32. This paper presents proposed changes to the GPS system SSV requirements, as informed by data from recent experiments in the SSV and new mission applications that are enabled by GPS navigation in HEO/GEO regimes. The NASA/NOAA GOES-R series satellites are highlighted as an example of a mission that relies on this currently-unspecified GPS system performance to meet mission requirements

A Web server for accessing a database on solar radiation parameters

ISBN 3-85283-014-1International audienceEcole des Mines de Paris has gathered since many years a lot of Earth Observation data of different kinds and is willing to provide those data to a broad audience. In collaboration with European partners, Ecole des Mines de Paris has assembled a dataset, which is unique in the world. It deals with one parameter of the solar radiation: the Linke turbidity factor, which characterizes the opacity of the atmosphere. Recently, the advent of the World Wide Web (WWW), has laid the foundation of a simple, friendly and uniform way of sharing data on internet. Nevertheless, the complexity and the size of some dataset and the heterogeneity of files formats were not suited to be put on-line on the web without preparation. The need of being able to make sophisticated queries to extract relevant information has therefore lead us to build a database (SQL) / Web server. The HELIOSERVEserver has been opened in late November 1997. Several customers have already praised its usefulness. This paper explains the design of the web server call HELIOSERVE. It describes the scientific context and explains the different steps to transform a dataset into a database that can be queried via the WWW. The authors have also examined a more general problem : the construction of a web server by small university-like entities which want to promote their database in Earth Observation related domains. Some conclusions were reached and are presented. Guidelines on how to help these small size providers are discussed

Laparoscopic-Assisted Ileocolic Resection for Crohn's Disease

BACKGROUND: This study reviews our experience with laparoscopic-assisted ileocolic resection in patients with Crohn\u27s disease. The adequacy and safety of this procedure as measured by intraoperative and postoperative complications were evaluated. Special attention was paid to the group in which laparoscopy was not feasible and conversion to laparotomy was necessary. METHODS: Between 1992 and 2005, 168 laparoscopic-assisted ileocolic resections were performed on 167 patients with Crohn\u27s ileal or ileocolic disease. Follow-up data were complete in 158 patients. RESULTS: In 38 patients (24%), conversion to laparotomy was necessary. Previous resection was not a predictor of conversion to laparotomy. Average ileal and colonic length of resected specimens was 20.9 cm and 6.5 cm, respectively, in the laparoscopic group, versus 24.9 cm and 10.6 cm in the converted group. Twenty of 120 specimens (16.6%) in the laparoscopic group were found to have margins microscopically positive for active Crohn\u27s disease. None of the 38 specimens in the converted group had positive ileal margins. CONCLUSIONS: Laparoscopic-assisted ileocolic resection can be safely performed in patients with Crohn\u27s disease ileitis. The finding of positive surgical margins following laparoscopic resections compared with none among conventional resections has to be thoroughly evaluated