Miracle-dz/UniFAR-FTUs huggingface dataset:
Weather in the Cockpit: Priorities, Sources, Delivery, and Needs in the Next Generation Air Transportation System

Abstract : A study was conducted to identify/verify weather factors important to the conduct of aviation activities and that would be important to consider in systems intended to operate within the NextGen environment. The study reviewed weather-information systems available for General Aviation aircraft at that time. The report presents a listing of recognized aviation weather hazards followed by rankings, by General Aviation pilots, of weather data elements associated with these hazards. This is followed by a listing of pilot-accessible sources for the relevant weather data and examples of graphical presentations of much of the data. Included is a brief listing and discussion of avionics systems able to host these graphical data. Recommendations are provided for the presentation of weather data in the cockpit, the incorporation of decision aids, forecasts, reliability labeling, and display strategies.
Porous Silicon as a Platform for Radiation Theranostics Together with a Novel RIB-Based Radiolanthanoid

Mesoporous silicon (PSi) is biocompatible and tailorable material with high potential in drug delivery applications. Here, we report of an evaluation of PSi as a carrier platform for theranostics by delivering a radioactive ion beam- (RIB-) based radioactive lanthanoid into tumors in a mouse model of prostate carcinoma. Thermally hydrocarbonized porous silicon (THCPSi) wafers were implanted with 159Dy at the facility for radioactive ion beams ISOLDE located at CERN, and the resulting [159Dy]THCPSi was postprocessed into particles. The particles were intratumorally injected into mice bearing prostate cancer xenografts. The stability of the particles was studied in vivo, followed by ex vivo biodistribution and autoradiographic studies. We showed that the process of producing radionuclide-implanted PSi particles is feasible and that the [159Dy]THCPSi particles stay stable and local inside the tumor over seven days. Upon release of 159Dy from the particles, the main site of accumulation is in the skeleton, which is in agreement with previous studies on the biodistribution of dysprosium. We conclude that THCPSi particles are a suitable platform together with RIB-based radiolanthanoids for theranostic purposes as they are retained after administration inside the tumor and the radiolanthanoid remains embedded in the THCPSi.
Influence of sudden stratospheric warmings on the polar vortex enhancement related to energetic electron precipitation

<p>The northern polar vortex experiences considerable inter-annual variability, which is also reflected to tropospheric weather. Recent research has established a link between polar vortex variations and energetic electron precipitation (EEP) from the near-Earth space into the polar atmosphere, which is mediated by EEP-induced chemical changes causing ozone loss in the mesosphere and stratosphere. However, the most dramatic changes in the polar vortex are due to sudden stratospheric warmings (SSW), a momentary breakdown of the polar vortex associated to enhanced planetary wave convergence and meridional circulation. Here we consider the influence of SSWs on the atmospheric response to EEP in 1957-2017 using combined ERA-40 and ERA-Interim re-analysis data and geomagnetic activity as a proxy of EEP. We find that the EEP-related enhancement of the polar vortex and other associated dynamical responses are seen only during winters when a SSW occurs, and that the EEP-related changes take place slightly before the SSW onset. We show that the atmospheric conditions preceding SSWs favor enhanced wave-mean-flow interaction, which can dynamically amplify the initial polar vortex enhancement caused by ozone loss. These results highlight the importance of considering SSWs and sufficient level of planetary wave activity as a necessary condition for observing the effects of EEP on the polar vortex dynamics. </p>
Refugee Health: A Gender Comparison in Health Care Access

Research suggests that Canada's newly arrived immigrant and refugee communities tend to be healthier than the domestic population, and that their health declines over time. Studies examining immigrant and refugee health primarily focus on how barriers associated with language, the settlement experience, culture, and systemic processes impede the utilization of health services among refugee men and women respectively. However, without the benefit of a gender comparison, such studies fail to identify the variation in health needs and differences in health-seeking between refugee men and women, and are thus limited in their capacity to improve service utilization. Drawing from exiting literature on refugee health status pre-migration and during resettlement, this paper implicates the role of health care reform processes in exploring the gender differences in access and health-seeking. A postcolonial feminist epistemology is advanced as a means to include the voices of refugees and other marginalized groups in future research and practice in order to encourage substantive change.
Software Architecture Knowledge Management: Theory and Practice

A software architecture manifests the major early design decisions, which determine the systems development, deployment and evolution. Thus, making better architectural decisions is one of the large challenges in software engineering. Software architecture knowledge management is about capturing practical experience and translating it into generalized architectural knowledge, and using this knowledge in the communication with stakeholders during all phases of the software lifecycle. This book presents a concise description of knowledge management in the software architecture discipline. It explains the importance of sound knowledge management practices for improving software architecture processes and products, and makes clear the role of knowledge management in software architecture and software development processes. It presents many approaches that are in use in software companies today, approaches that have been used in other domains, and approaches under development in academia. After an initial introduction by the editors, the contributions are grouped in three parts on "Architecture Knowledge Management", "Strategies and Approaches for Managing Architectural Knowledge", and "Tools and Techniques for Managing Architectural Knowledge". The presentation aims at information technology and software engineering professionals, in particular software architects and software architecture researchers. For the industrial audience, the book gives a broad and concise understanding of the importance of knowledge management for improving software architecture process and building capabilities in designing and evaluating better architectures for their mission- and business-critical systems. For researchers, the book will help to understand the applications of various knowledge management approaches in an industrial setting and to identify research challenges and opportunities.
Nomogram for predicting the overall survival of cervical cancer patients with nonsurgical treatment

Background: Surgery is an important treatment for cervical cancer, but some patients choose not to operate on the primary site. The purpose of this study was to establish nomogram for predicting overall survival (OS) in nonsurgical cervical cancer on the primary site(NSCC) patients by using cases in the public database.Methods: All patients diagnosed between 2004 and 2015 were randomly divided into training (n=4283) or validation (n=1832) cohort. Cox regression analysis was used on the training cohort to select independent prognostic factors to construct nomogram for predicting 3- and 5-year OS. In two cohorts, receiver operating characteristic curve (ROC), Harrell’s concordance index (C-index), calibration curves and decision curve analysis (DCA) were used to evaluate the accuracy and the reliability of the model. We made a risk stratification system based on the model and performed Kaplan-Meier survival analysis on the risk level.Results: In the training set, ten clinicopathological factors were significantly correlated with survival outcomes and were included in the nomogram. In the training cohort and validation cohort, the C-index, ROC and calibration plots exhibited an excellent consistency between actual OS and model predictions. DCA indicated great clinical benefit. Compared with FIGO staging, nomogram's evaluation effect is superior.Conclusions: Age, histological type, grade, tumor size, extension, lymph node involvement, distant metastasis, lymph node removed, chemotherapy and radiotherapy were independent prognostic factors for OS in NSCC patients. The model showed more satisfactory accuracy and clinical practicability than FIGO staging system, and may provide integration and improvement for therapeutic decisions.
Heartbeat based fault diagnosis for mobile ad-hoc network

The problem of identifying faulty mobiles in ad-hoc networks is considered. Current diagnostic models were designed for wired network. For the suitability to multi-hop ad-hoc network this paper considers the problem of achieving distributed diagnosis in arbitrary topology networks in dynamic fault environments. In order to diagnose the state of the wireless adhoc network, diagnostic tasks are assigned to all mobiles and the outcomes of these tasks are compared. We describe a new distributed self-diagnosis protocol for wireless adhoc networks that is able to identify crash and value faults in a finite amount of time. Heartbeat based mechanisms have been used to detect the failure and recovery events. It is assumed that the mobiles can change their states at any time provided the network remains connected and the frequency with which events can occur on a node has an upper limit. This is characterized and quantified by deriving a minimum state holding time. The algorithm DDMAN is compared with a similar algorithm FHB given in paper [5] and is shown to produce shorter average diagnostic latency with comparable message complexity under a more realistic fault model.
Anne Boleyn

Anne Boleyn (b. 1501–d. 1536), Henry VIII’s second wife, is an endlessly fascinating historical figure about whom we know very little with certainty, yet who has inspired countless works, both fictional and nonfictional. The significant events of her life and death—Henry VIII’s courtship and the momentous historical ruptures that followed, the birth of Elizabeth I, Anne’s beheading on charges of adultery and treason (not witchcraft, as is commonly thought)—are documented. Her life before Henry, much of it spent as a lady-in-waiting in the courts of some of the most influential women in Europe—can only be speculatively reconstructed. Her activities as Henry’s queen, including her support of the cause of reform, has only recently been carefully pieced together. Very little exists in Anne’s own words. Seventeen of Henry’s love letters to her survive, but only two letters that may be from Anne to Henry remain, and one is almost certainly inauthentic. Beyond these and some inscriptions in prayer books, most of our information about Anne’s personality and behavior is secondhand: Cavendish’s memoirs of Cardinal Wolsey, which credits Anne with Wolsey’s downfall; the far from unbiased reports of Eustace Chapuys and other foreign ambassadors; Constable Kingston’s descriptions of her behavior in the Tower; and various “eyewitness” accounts of what she said and did at her trial and her execution. Yet despite the absence of Anne’s own voice among the relics of the period, she is undoubtedly the most famous of Henry’s wives. She has been the focus of numerous biographies, movies and plays, a much-watched television series, and an ever-growing mountain of historical fiction. Internet sites are devoted to her, and she appears as a subject of feminist art. Throughout these different genres, and depending on whether or not the account is friendly or antagonistic, radically different pictures of Anne emerge. For supporters of Katherine of Aragon, Henry’s first wife, she was an ambitious schemer. For Catholic propagandists like Nicholas Sander, she was a six-fingered, jaundiced erotomaniac, who slept with butlers, chaplains, and half of the French court. For Elizabethan Lutherans, she was the unsung heroine of the Protestant Reformation. For the Romantics, particularly in painting, she was the hapless victim of a king’s tyranny. In postwar movies and on stage and television, Anne has been portrayed as both a spirited rebel and a cold manipulator. Who is the “real” Anne? While some accounts can be definitively disputed or confirmed, many more remain contested territory. Thus, any responsible bibliography must take account, as this one tries to, of radically competing perspectives on the elusive, compelling Anne Boleyn.
Multi-drug Resistant (MDR) and Extended Spectrum β-lactamase (ESBL) Producing Salmonella species isolated from fresh chicken liver samples

Objective: Emergence of antibiotic resistance among microbes contaminating the fresh meat and meat products is a global public health concern as they can be easily transmitted to humans through their consumption and contact. The current study aimed to isolate and identify Salmonella sp. from fresh chicken liver samples and determine their antibiotic susceptibility patterns with special emphasis on multidrug resistance (MDR) and extended spectrum beta-lactamase (ESBL) production. Results: Out of 200 samples analyzed, 61 (30.5%) samples harbored Salmonella species among which 15 (7.5%) samples showed the presence of Salmonella Typhi isolates. A significant association was noted in the incidence of Salmonella with various factors pertaining to the butchers such as age, sex and literacy rate. Salmonella isolates were highly sensitive to amikacin (82.0%) and least sensitive to tetracycline (3.3%). All the isolates were resistant to colistin. Moreover, 56 isolates were identified as multidrug-resistant. The total number of ESBL producers reported among Salmonella isolates was 29 (47.5%). The study reported the presence of antibiotic-resistant Salmonella species in fresh chicken liver samples sold in Bharatpur metropolis suggesting a need of serious attention by the concerned authorities. Keywords: Salmonella , Fresh chicken liver samples, Antibiotic Susceptibility Test, Multi-drug Resistance, Extended Spectrum β-lactamase
Design of high-resolution photodiode readout circuitry for a bio-implantable continuous glucose sensing chip

Glucose sensors are useful for monitoring and control of blood-sugar concentration for diabetic patients. There are many challenges in their wide-spread use and effectiveness in control of the disease. This work is a step towards achieving in vivo continuous long-term glucose monitoring using the optical near-infrared based glucose sensing principle. The thesis investigates and arrives at an architecture for the readout circuitry of such a sensor system. The goal is that the realized CMOS chip together with the optical sensing devices realized in Silicon-on-Insulator technology will form a single-implantable solution. The advantage is the long-term monitoring due to non-usage of chemical reagents. The thesis work addresses the read-out circuit requirements for a photodiode as part of such a sensor. The design of a high-resolution current-input sigma-delta ADC is discussed which targets to achieve 16-bit resolution for a photo-diode signal in the range of 100nA-10? A. Various optimizations for specifications such as noise, accuracy and energy-efficiency both at circuit and system level are addressed. The chip has been realized in a TSMC 0.18? m process. The initial measurements show the functionality of the ADC and its performance using the test set-up developed. A proof of concept of the optical-electrical interface with a photodiode shows the application of the circuit.
A CPW-fed Broadband Swastik Shape PIFA for WiMAX (3.5 GHz) Application

A cpw-fed Swastik shape Broadband planar inverted f antenna (PIFA) for WiMAX application has been proposed. Broadband operation (3.27 GHz to 4.02 GHz) is achieved by proper broadband matching at both the resonances (resonance due to even mode and resonance due to odd mode) due to modified cpw feed. Proposed antenna was simulated using HFSS based on finite element method with genetic algorithm optimization technique. Finally, the proposed antenna was fabricated and some performance parameters were measured to validate against simulation results. The design procedures and employed tuning techniques to achieve the desired performance are presented.
A scoping study to identify hazard data needs for addressing the risks presented by nanoparticles and nanotubes

In 2003, the Royal Society (RS) and Royal Academy of Engineering (RAEng) were asked by the Government to assess the opportunities and uncertainties concerning nanoscience and nanotechnology. In their report they defined nanoscience in terms of the scale at which material properties differed from the same material in larger scale, they pointed out that there were many nanotechnologies rather than one, and they emphasised the difference between hazard (the potential to cause harm) and risk (a quantification of the likelihood of such harm occurring), and pointed to the importance of dose to the target in determining the latter. They recognised the fundamentally important roles that these technologies were likely to play in the world economy, and pointed out that relatively few of them implied hazard to humans or the environment. In discussing hazards, they recognised that (i) nanoparticles (NP) and nanotubes (NT) posed the greatest concerns (ii) that there were substantial knowledge gaps relating to the hazard (and risks) of these materials and (iii) emphasis should be placed on research into human health and environmental effects of these materials, with a view to guiding regulation. They set out a risk based approach for research, in terms of the identification of hazard and a structured approach to determining likely exposure to the identified hazard. The Government accepted this, viewing it as ian essential step to regulating in a proportionate way any risks from these materials”. DEFRA has commissioned the Institute of Occupational Medicine (IOM) to prepare this scoping study
Impact of Atmospheric Correction on Land Cover Classification of the Topographic Chart
 SC-24-V-C (Petrolina) Using Google Earth Engine and Landsat-8 images

It is known that mapping land cover through remote sensing techniques is not a trivial procedure and it requires a high level of knowledge of the processing techniques adopted. The Brazilian Annual Land Use and Land Cover Mapping MapBiomas is a project focused on the generation of land use and land cover classifications of the Brazilian biomes through Landsat satellite images. However, the fact that surface reflectance data provided for Landsat-8 are not orthorectified until the conclusion of this paper lead to the use of top-of-the-atmosphere (TOA) reflectance data by the project to proceed with the classifications. Since atmospheric effects may interfere with the quality of the data, it’s necessary to investigate which data best fit the classifications. Thus, after the selection of the SC-24-V-C (Petrolina) topographic chart, belonging to the Caatinga biome, three classifications were generated: one in TOA reflectance and the others with atmospheric correction from FLAASH and QUAC algorithms. The classifications were generated in the Code Editor of Google Earth Engine (GEE) based in an empirically defined decision tree. The accuracy assessment for the TOA classifications as well as those originated by FLAASH and QUAC showed, respectively, Tau values of 54.13%, 39.13% and 58.10%, Kappa values of 49.24%, 34.08% and 52.97%, and overall accuracy of 61.78%, 49.28% and 65.08%. This showed a better adjustment of QUAC-corrected data to the context of the chart compared to the other data. The TOA data differed by approximately 4% less than the data corrected by QUAC, which highlights its indispensability, as long as new adjustments are made in the decision tree parameters. When compared by class, the coefficients showed a high variation, although the data atmospherically corrected presented, generally, higher values of accuracy compared to the data without atmospheric correction.
A Survey of Stochastic processes in Wireless Sensor Network: a Power Management Prospective

A wireless sensor network consist of large number of low cost, low computational and limited power sensors. Routing is a process which consumes lot of WSN nodes power. On the other hand WSN nodes have limited power, therefore it is required to intelligently design and select the routing algorithm for the WSN field. This will increase the node and the network life. Statistical tools are quite famous for the decision making procedure in artificial intelligence, self-learning and neural network. A huge research has been done in the recent era on power management and energy efficient protocols to improve the efficiency of the WSN. This survey is focusing on the stochastic process based power management algorithms for the WSN field. Famous power efficient routing algorithms hierarchical structures and format are discussed in this survey
Finite difference time domain analysis of photonic band gap structures in one and two dimensions

Dielectric and magnetic structures which inhibit the propagation of light for a given frequency range at any angle of incidence are said to have a photonic band gap (PBG). By placing defects inside of these PEG structures, useful devices can be constructed including micro-cavity lasers and nanometer scale waveguides. This thesis is concerned with the evaluation of these PBGs in order to obtain an understanding of how they work, as well as developing new methods to evaluate them. The photonic band gap configurations are modeled with the Finite Difference Time Domain (FDTD) method in one and two dimensions. By modeling these structures in the time domain, the finite amount of time that it takes to establish the photonic band gaps may be observed. Also, methods using the Fast Fourier Transform in combination with the FDTD algorithm are capable of determining the frequency spectrum of a structure with little computation time.
Designing Network On-Chip Architectures in the Nanoscale Era

Going beyond isolated research ideas and design experiences, Designing Network On-Chip Architectures in the Nanoscale Era covers the foundations and design methods of network on-chip (NoC) technology. The contributors draw on their own lessons learned to provide strong practical guidance on various design issues. Exploring the design process of the network, the first part of the book focuses on basic aspects of switch architecture and design, topology selection, and routing implementation. In the second part, contributors discuss their experiences in the industry, offering a roadmap to recent products. They describe Tileras TILE family of multicore processors, novel Intel products and research prototypes, and the TRIPS operand network (OPN). The last part reveals state-of-the-art solutions to hardware-related issues and explains how to efficiently implement the programming model at the network interface. In the appendix, the microarchitectural details of two switch architectures targeting multiprocessor system-on-chips (MPSoCs) and chip multiprocessors (CMPs) can be used as an experimental platform for running tests. A stepping stone to the evolution of future chip architectures, this volume provides a how-to guide for designers of current NoCs as well as designers involved with 2015 computing platforms. It cohesively brings together fundamental design issues, alternative design paradigms and techniques, and the main design tradeoffsconsistently focusing on topics most pertinent to real-world NoC designers.