Miracle-dz/UniFAR-FTUs huggingface dataset:
Data-mining experiments on a hydroelectric power plant

This study presents some data-mining experiments applied to electric power systems with the aim of extracting knowledge from historical data produced by the supervision, control and data acquisition system of a hydroelectric plant in Brazil. In the first experiment, statistical analysis is performed on discrete events such as Boolean events, alarms, commands, set-points and analogue quantities as electrical frequency, to display relevant aspects of the electrical system operation. Next, the results of an experiment performed on discrete events from associations describing relationships patterns among items in a database are presented. In the third experiment, a decision tree is used to reveal relationships among several analogue variables as: the relationship between the downstream water level and generated power, for example. In the fourth experiment, a decision tree is designed to detect if the hydro generator operation is violating any constraint imposed by its capability curve, also indicating which limit is extrapolated. These experiences contribute to successfully show the data-mining applicability to power systems, to improve the management of hydroelectric power plants operation, maintenance and planning, besides also contributing to establish a culture of its usage in the electrical industry.
Design and Implementation of the Ephemerizer System

This thesis describes the system design and implementation of the secure Ephemerizer System that was first introduced by Radia Perlman in 2005. The system is designed to enable users to keep data for a finite period of time before making the data unrecoverable by destroying the keys with which the data was encrypted. The task of the Ephemerizer System service is to create, advertise, and destroy keys required for the Ephemerizer System's functionalities.We designed the Ephemerizer System Service's security by placing the sensitive key management modules into a Trusted Computing Base (TCB). Our compartmentalized approach distributes security requirements at different sensitivity levels into different protection domains. In our approach, we implement the trusted protection domain (our TCB) on a tamper-resistant Javacard.We placed the key storage database into the partly trusted protection domain to improve scalability and availability of the Ephemerizer System. The partly trusted protection domain requires memory isolation and other security mechanisms provided by the underlying operating system. We implemented several mechanisms on the TCB, such as the signature engine, cryptographic modules, the on-card expiration validator, and on-card time verification. We make the Ephemerizer System available to users as a web service and expose it though a uniform API. This approach enables the seamless integration of the Ephemerizer System into business processes on heterogeneous platforms.
The Unintended Consequences of High-Stakes Testing

Chapter 1 Introduction Chapter 2 Chapter 1: Looking through Multiple Lenses: Historical and Contemporary Perspectives of Testing Chapter 3 Chapter 2: How Testing Shapes the Curriculum Chapter 4 Chapter 3: The Impacts of Testing on Teaching Practices Chapter 5 Chapter 4: Truth or Consequences: Preparing for the Tests Chapter 6 Chapter 5: Testing and Student Motivation Chapter 7 Chapter 6: No Child Left Untested: The Impact on Special Populations Chapter 8 Chapter 7: Missing the Mark: Testing and Student Retention Chapter 9 Chapter 8: Who Will Teach? Testing and the Teaching Profession Chapter 10 Chapter 9: Stepping up to the Plate: Symbols of Testing Chapter 11 Chapter 10: Reforming the Reform Chapter 12 Chapter 11: Putting the Pieces Together
The Primal Blueprint

"The Primal Blueprint" is a simple, flexible plan to help you look and feel your best without struggling or suffering, by adapting the simple lifestyle practices of our hunter-gatherer ancestors into modern life. Sisson presents the compelling premise that you can reprogram your genes in the direction of weight loss, health, and longevity by following 10 immutable Primal Blueprint lifestyle laws validated by two million years of human evolution. Weight loss is largely about insulin; moderate your production by eliminating sugar and grains, and you will lose the excess body fat you desire even while eating delicious, satisfying foods. Plus you will improve your energy level, reduce inflammation, and eliminate disease risk. Eating meat, eggs, and a generally high-fat diet not only is healthy but is the key to effortless weight loss, a healthy immune system, and boundless energy. Slowing down your typical cardiovascular workouts, and incorporating brief, intense strength sessions and occasional all-out sprints can produce fitness benefits far superior to workouts that are longer and more grueling - and can eliminate the risk of burnout.
Coaching tools for high-performance driving

This project aimed to develop new tools to present and analyze data collected from racecars for the purpose of driver coaching. The tools developed are designed to quickly bring pertinent information to the surface and to further analyze the data for information that is not readily apparent. The working environment for the project was the Barber Dodge Pro Series, an entry-level professional racing series. A data viewer program called DataWizard was developed as a test-bed for new coaching tools, based on interviews, observations and feedback at Barber Dodge events. A method of track segmenting was developed as a new framework for organizing racecar data. Data from each lap is broken up by the section, turn, straight and brake zone, greatly improving the speed and ease of navigating though the data. A summary of vital statistics is created for each segment to bring key information to the surface. Two methods of displaying information about the driving line were also developed. One uses color overlaid on a track path to depict the path radius, the other method uses icons to mark turn-in, track-out and apex points along a track path. A racing GPS system was tested and suggestions are made as to how GPS data can be utilized along with data already commonly collected. Thesis Supervisor: John Heywood Title: Sun Jae Professor of Mechanical Engineering
Respiratory Tract Disorders Associated with Changes of the Mucous Membrane in Workers often Exposed to Pathological and Toxic Factors

This article is investigating changes in the mucous membrane of the respiratory tract in workers who are often exposed to pathological and toxic factors. Research methods and materials: Air sampling was performed by aspirator and gas analyzer. Collected air was checked for chemical composition. Results and discussions: Air sampling of the working area detected toxic substances such as dust, soot and toxic gases: SO2, N2O5, N2O4, NO2, N2O, CO and H2S. Concentrations of these toxic substance and gases varied from 0.06-15.8 mg/m3. Mechanisms of toxic effects causing occupational disorders by various substances and chemicals described. Conclusions: Respiratory tract disorders including chronic bronchitis, allergic bronchitis, chronic obstructive pulmonary disease and lung cancer in workers exposed to pathological and toxic factors have been described.
A modified OAM Mach-Zehnder interferometer for displacement measurement

In this study, a modified OAM Mach-Zehnder (M-Z) interferometer for displacement measurement has been proposed and experimentally proved, where two conjugate OAM beams propagate on two arms respectively. The traditional M-Z OAM interferometer was modified by introducing a reflection module in the reference arm. As a result, the optical path shift mismatched reflections on two arms is eliminated, which improves the quality of the petal-like pattern produced by the interference between two conjugate OAM beams. And a significant rotation angle of the petal-like pattern vs. the tiny displacement of the tested object can be clearly observed. By accurately measuring the rotation angle of the petal-like pattern, a tiny displacement ranging from 50 to 800 nm with resolution of ~50 pm has been measured successfully.
Orofacial Abscess due to Candida dubliniensis: An Extensive Infection Caused by A Rare Yeast

Candida dubliniensis is a pathogenic yeast which is rarely encountered in clinical practice. An 83-year-old HIV-negative woman with numerous medical co-morbidities presented with a dental abscess which was preceded by a long- standing toothache. The right side of her face was swollen from the preauricular to the malar and submandibular regions. A computed tomography scan revealed a masseteric abscess with air pockets extending to the right temporalis muscle. She underwent two separate incision and drainage procedures, performed one week apart. A yeast which formed branched pseudohyphae with thick-walled triplet terminal chlamydospores was cultured from her pus specimen. The yeast was identified biochemically as C. dubliniensis. However, before any antifungal agent could be administered, the patient succumbed to her illness.
Macular Thickness and Its relation with Age and Gender in Healthy Eyes Using Cirrus-HD Optical Coherence Tomography

Purpose of the Study : To provide a normative data for macular thickness in healthy Iraqi eyes using Zeiss cirrus HD-OCT and to determine the effects of age and gender on their measurements. Materials and Methods : Two hundred healthy adult volunteers (≥20 years), four hundred eyes underwent macular cube scanning using Zeiss cirrus-HD OCT. Macular thickness from all 9 regions of the Early Treatment Diabetic Retinopathy Study map was documented for each subject. Variations in macular thickness by age and gender were determined. Results: The mean age of volunteers was 37±10.4 (range 21-67)years. The mean of central foveal thickness was 254.6±17.3Mm, the mean macular thickness was 279.0 ± 10.7 Mm, and the macular volume was 10.0 ± 0.4 mm3.Females were found to have a significantly thinner macula (P< 0.001) than males in all 9 ETDRS regions except outer inferior quadrant. Central foveal thickness was found to have very weak correlation with age which was not statistically significant. All other macular regions, mean macular thickness and volume showed statistically significant nonlinear reduction with age(p value<0.001) .
Pursuing Geoengineering for Atmospheric Restoration

Geoengineering is fraught with problems, but research on three approaches could lead to the greatest climate benefits with the smallest chance of unintentional environmental harm. The authors propose a model for thinking about geoengineering based on the concept of restoration, suggesting the term “atmospheric restoration. ” Under this model geoengineering efforts are prioritized based on three principles: to treat the cause of the disease itself, to reduce the chance of harm, and to prioritize activities with the greatest chance of public acceptance.Based on these principles, the authors propose three forms of geoengineering that could provide the greatest climate benefits with the smallest chance of unintentional harm to the environment. Forest protection and restoration is an opportunity available now. The other two, industrial carbon removal and bioenergy linked to carbon capture and storage, need extensive research to make them effective and to reduce their costs. These options will be cheaper than most forms of geoengineering and will provide many additional benefits, including improved air and water quality, national security, balance of trade, and human health.Our climate is already changing, and we need to explore at least some kinds of carbon-removal technologies, because energy efficiency and renewables cannot take CO2 out of the air once it’s there. Some scientists increasingly argue that we need to do research on sunshade technologies as a backup plan if climate change starts to accelerate dangerously. This argument has merit. However, the sooner we invest in and make progress on reducing greenhouse gas emissions today and promote ways to restore the atmosphere through carbon-scrubbing technologies in the future, the less likely we are ever to need global sunshades. The principle of atmospheric restoration should guide us in curing climate change outright, not in treating a few of its symptoms.
Long Channel MOS Transistor

This chapter contains sections titled: Introduction Layout and Cross-Section of Physical Structure Static Drain Current Model Threshold Voltage ( V T ) Based Model Memelink-Wallinga Graphical Model Channel Length Modulation Channel Potential and Field Distribution Along Channel Carrier Transit Time EKV Drain Current Model ACM and BSIM5 Models PSP Model HiSIM (Hiroshima University STARC IGFET Model) Model Benchmark Tests for Compact DC Models References
A novel thin chip scale packaging of the RF-MEMS devices using ultra thin silicon

In this paper, as ultra thin silicon substrate was used as packaging substrate, we proposed ultra thin chip size RF-MEMS packaging technology that has vertical feed-through for low loss, as reduced the parasitic capacity. Thin silicon wafer with 50um thickness was fabricated to achieve short electric path, low loss and lightweight. And then via holes with the diameter of 60um were fabricated and was filled by the RIE and electroplating process. Also, the wafer level bumps were fabricated for simple, low cost, and fine patterning process. The measured S-parameter of packaged CPW(Co-planner waveguide) has the reflection loss of under -19 dB and the insertion loss of -0.54 to -0.67 dB.
Proceedings of the 1st international conference on Embedded networked sensor systems

It is our great pleasure to welcome you to the first ever ACM Conference on Embedded Networked Sensor Systems; in short form, ACM SenSys'03, which takes place in Los Angeles on November 5-7, 2003.This conference, the first of a planned series of annual meetings with a highly selective, single-track technical program and a hands-on research exhibition, has been established to serve as the premier forum covering research on systems issues in the emerging area of embedded, networked sensors. These systems, consisting of intelligent, communicating sensors and actuators, have the potential to revolutionize a wide array of application areas by exploiting fundamental innovations in computing, networking and communication.This conference is intended to involve multiple fields, including wireless communication, networking, operating systems, architecture, low-power circuits, distributed algorithms, data processing, scheduling, sensors, energy harvesting, and signal processing. SenSys provides a cross-disciplinary venue for researchers in which to address the rich space of networked sensor system design issues, and to interact and exchange recent results.An exciting and high quality technical program was put together by David Culler and Mani Srivastava, with the help of an exceptional panel of experts in the form of the technical program committee members. We were most fortunate to have David and Mani as Program Chairs to launch SenSys on a path of academic excellence and practical relevance; we express our sincere thanks to both of them.We also have an exceptional student poster session on very timely topics put together by Bhaskar Krishnamachari and Sylvia Ratnasamy, and a very rich set of demonstrations planned for the demo session arranged by John Heidemann and Fabio Silva. We thank them all for an excellent job and these two very important contributions to the program.A number of panels and social events will provide opportunities for discussions, debates and exchange of information among conference participants.
Controller Backup and Replication for Reliable Multi-domain SDN

Software defined networking (SDN) is considered to be one of the most promising paradigms in the future. To solve the scalability and performance problem that a single and centralized controller suffers from, the distributed multi-controller architecture is adopted, thus forms multi-domain SDN. In a multi-domain SDN network, it is of great importance to ensure a reliable control plane. In this paper, we focus on the reliability problem of multi-domain SDN against controller failure from perspectives of backup controller deployment and controller replication. We firstly propose a placement algorithm for backup controllers, which considers both the reliability and the cost factors. Then a controller replication mechanism based on shared data storage is proposed to solve the inconsistency between the active and standby controllers. We also propose a shared data storage layout method that considers both reliability and performance. Besides, a fault recovery and repair process is designed based on the controller backup and shared data storage mechanism. Simulations show that our approach can recover and repair controller failure. Evaluation results also show that the proposed backup controller placement approach is more effective than other methods.
Evolutionary Frequency of the Available Human Coronavirus Genomes

Background. A novel, human-infecting coronavirus causing CoVID-19 was first identified in Wuhan, China in late December, 2019. Within a short span of time more the virus has recorded more than 1 million deaths world-wide. This study is designed to address the overall evolutionary process of the novel Coronavirus complete genomes. Addressing the complexity and huge population size, network-based approaches are used in mapping samples to their reported locations. Results. Total of 473 complete human-coronavirus genomes representing 20 different countries are studied including 17 states from the United States and samples collected from the Cruise-diamond princess. The phylodynamic network of global-scale is classified into five clusters contained two clusters U1 and U2 of the USA samples. Cluster B is a shared cluster of China and the USA while A and C are of diverse nature. We found that Chinese samples aggregated in cluster A and B which aided in retaining the homogeneous viral genomic pool. In contrast, samples from the USA and Spain were split into distinct clusters indicating multiple port entries and a possibility in implying a delay in quarantine measures. Among the samples from the USA, we found that sequences reported from Washington and Virginia are scattered indicating evolutionary diversity.Conclusion. This report provides insight into the transmission pattern of CoV2 which is complicated to evaluate exclusively through conventional surveillance means. Our data not only identify the transmission network but also suggest that the severity of the disease is linked to the spatial diversity of infection.
Análise comparativa da influência dos espaços de cores na segmentação multi-classe de Whole Slide Imaging do câncer de mama utilizando deep learning

O diagnóstico em estágios iniciais normalmente resulta em um prognóstico melhor nos casos de câncer. Atualmente, a análise histopatológica e o padrão ouro para o diagnóstico, estadiamento e definição do tratamento de neoplasias de mama. Contudo, a técnica possui algumas restrições que dificultam o processo de análise pelo patologista, como diferentes protocolos de coloração, variações de coloração nas lâminas, e sobreposição de tecidos. Assim, a representação computacional das cores pode exercer uma influência significativa no comportamento dos modelos convolucionais. Desta forma, este estudo propõe uma análise comparativa da influência de quatro espaços de cores (RGB, HSV, YCrCb e LAB) para a segmentação multi-classe de Whole Slide Imaging (WSI) do câncer de mama. A metodologia proposta e composta por uma etapa de pré-processamento das WSI, data augmentation e multi- segmentação utilizando a arquitetura convolucional U-Net com uma ResNet-50 pré-treinada como codificador. Os resultados obtidos demonstram que o espaço de cores HSV apresentou de maneira geral índices melhores para a segmentação das WSI utilizando a metodologia proposta neste estudo.
Through-silicon via based 3D IC technology: Electrostatic simulations for design methodology

Two parallel methods of simulation have been developed in order to evaluate the electrostatic impact that a through-silicon via (TSV) may have on a 65 nm MOS transistor. The first model is based on the finite element method (FEM) and the second one is related to electric component models (SPICE language). Both approaches are then compared and discussed. The SPICE model has been calibrated on the numerical one, so that it can be used for more complex devices - here, an inverter - and more systematic investigations. A range of 3D-compatible design rules have been defined. By integrating these new data on a complete 3D design methodology, we are able to design and layout simple logic circuitries based on a 2-stratum 3D architecture.
Numerical modelling of multiple standing column wells for heating and cooling buildings

A model for simulating clusters of standing column wells (SCWs) for use in geothermal heating and cooling systems is described in this paper. The model is three-dimensional, dynamic and solves the governing equations using a finite volume discretisation scheme with a fully implicit algorithm. The slower-acting field equations are solved using a wider time interval than that used for the faster-acting well equations and the two sets of equations are coupled through the field equation source terms. A groundwater bleed feature is incorporated. The model is applied to two evaluative test cases the first of which involves heating only and the second, heating and cooling. Results of the applications suggest that SCWs can deliver substantially higher rates of heat transfer than conventional closed loop borehole heat exchanger arrays especially when groundwater bleed is operational. An important practical consequence of this is that far less geotechnical drilling is needed when using SCWs than is the case with closed loop arrays.
Transition and flow-induced scattering of acoustic modes in ducts

The propagation of unsteady disturbances in ducts of slowly-varying geometry, such as those typical of an aero-engine, can be successfully modelled using a multiple scales approach. The multiple-scales approach has a number of distinct advantages over full numerical methods. Previous authors have validated the accuracy and usefulness of the multiple scales approach by comparing with results obtained using the finite element method, using realistic aero-engine configurations. Cut-on cut-off transition of acoustic modes in hard-walled ducts with irrotational mean flow is well understood. However, previous finite-element simulations of this phenomenon appear to indicate the possibility of energy scattering into neighbouring modes at large Helmholtz numbers. In this thesis, an attempt is made to explain such scattering phenomena in slowly varying aero-engine ducts using multiple-scales techniques. In order to model modal scattering a good understanding of cut-on cut-off transition is necessary. Here, the well known single turning point is revisited, and our understanding of cut-on cut-off transition is extended to include an analysis of a double turning point. Then using a similar apparatus, modal scattering in the case where a mode undergoes cut-on cut-off transition is investigated. It is found that, for sufficiently high frequencies, a mechanism exists whereby a propagating incident mode can be scattered into neighbouring modes provided that a mean flow exists within the duct. An asymptotic analysis of this mechanism is presented and, by solving numerically a composite solution, results in a duct of rectangular cross section are obtained. The energy distribution of the incident and neighbouring scattered modes reveals an interaction and exchange of energy with the mean flow. This work now allows greater insight as well as more accurate and fast computations of high frequency mode propagation in slowly-varying hard walled ducts using multiple-scales approaches.