Miracle-dz/UniFAR-FTUs huggingface dataset:
Contributions for the Standardisation of a SDN Northbound Interface for Load Balancing Applications

Software-Defined Networking (SDN) is a new paradigm that is emerging in networking. It has the goal to contribute to deal with the inherent complexity of today’s networks. The main concept behind SDN is the separation of the control plane from the data plane, centralizing the control plane of the network devices in a server or SDN controller. OpenFlow emerged as the first widely adopted protocol for the communication between the centralized control plane and the data plane, known as the Southbound Interface (SBI). Its success has led SDN to the spotlight. The Northbound Interface (NBI) is the Application Programming Interface (API) for the communication between the control plane and the application layer. This interface provides an abstraction to network application developers, making it possible to implement the desired functionalities without concerns regarding the low-level details of the underlying infrastructure. This has resulted in a more efficient, higher level, network application development process. But, unlike the SBI, there is not yet an accepted open standard for the NBI, which makes SDN applications lose interoperability, leading to a fragmented framework. The implementations of the NBI for specific domains will help define a broader standard, considering a wider range of domains, that will facilitate SDN widely adoption. In this paper, we discuss the standardisation of the NBI and extend the Floodlight controller to provide a relevant NBI for load balancing applications. We developed programs to access this interface and evaluated the system in a typical data center network topology in a real environment.
Signal transfer of visual stimuli to V4 occurs in gamma-rhythmic, pulsed information packages

Summary Selective visual attention allows the brain to focus on behaviorally relevant information while ignoring irrelevant signals. As a possible mechanism, routing by synchronization was proposed: neural populations sending attended signals align their gamma-rhythmic activities with receiving populations, such that spikes from the senders arrive at excitability peaks of the receivers, enhancing signal transfer. Conversely, the non-attended signals arrive unaligned to the receiver’s oscillation, reducing signal transfer. Therefore, visual signals should be transferred through periodically pulsed information packages, resulting in a modulation of the stimulus content within the receiver’s activity by its gamma phase and amplitude. To test this prediction, we quantified gamma phase-specific stimulus content within neural activity from area V4 of macaques performing a visual attention task. For the attended stimulus we find enhanced stimulus content reaching its maximum near excitability peaks, with effect magnitude increasing with oscillation amplitude, establishing a functional link between selective processing and gamma activity.
ACUTE PANCREATITIS – A CLINICAL OVERVIEW ANAESTHESIA TUTORIAL OF THE WEEK 73

Self assessment • List 5 common causes of pancreatitis. What percentage of episodes are left unexplained despite investigation? • What are the characteristics features of the pain in acute pancreatitis? • Which radiological investigation is most useful? When should it be performed? What features of this investigation can be regarded as severe prognostic indicators? • A patient with severe acute pancreatitis is likely to have an unstable circulation what monitoring and measures can be taken to correct this? • What organisms commonly cause local pancreatic infection as a complication of pancreatitis? • Name three potential methods of reducing infection in pancreatitis? • Does surgery have a role in the management of severe acute pancreatitis?
A Capacitively Coupled Chopper Instrumentation Amplifier

This work focuses an Eddy Current (EC) NonDestructive Testing (NDT) system that uses Magneto-Resistive (MR) sensors to inspect metallic test subjects. Low-frequency magnetic signals are used for higher penetration depths, resulting in low-frequency signals that are processed by an Application Specific Integrated Circuit (ASIC). The ASIC has a pre-amplifier that presents a very significant flicker noise, that impairs measurements. The pre-amplifier is the focus of this work and is the target of improvements, such as the implementation of Chopper Stabilization to reduce flicker noise. The pre-amplifier is configured in a Capacitively Coupled Chopper Amplifier topology and due to chopper modulators, the input DC components are up-modulated and pass through the input capacitors of the amplifier capacitive feedback. These DC components cause the saturation of the amplifier. A DC Servo Loop (DSL) is added to cancel input DC by means of negative feedback. The pre-amplifier was designed in AMS 0.35 μm CMOS technology and has a simulated gain of 20 dB, presenting an Input-Referred Noise (IRN) of 6 nV/ √ Hz at 100 Hz and noise floor of 4 nV/ √ Hz. The pre-amplifier also presents an attenuation of 60 dB of DC signals, allowing the removal of DC components up to 200 mV.
Overload Mitigation SIPS Based on DC Model Optimization and PMU Technology

System integrity protection schemes (SIPS) supported by phasor measurement unit (PMU) technology are based on the concept of collecting information from remote stations, sending the information to a central concentrator that executes a decision-making algorithm and initiates specialized actions to prevent the spread of system disturbance. This paper gives application of overload mitigation SIPS. Described protection scheme is based on a mixed integer linear programming (MILP) optimization of the DC power flow model whose objective is to maximize total load on the observed part of the network. Inaccuracy of the used DC model and the actual state is replaced by using the PMU technology. In this way, the influence of reactive power that is ignored in the DC model power flow model calculation is replaced in real-time with real synchronized measurements. Described SIPS is tested on IEEE 14 busbar test system. Conducted simulations indicate that developed optimization algorithm can mitigate potential element overloads with extremely high accuracy by using load shedding methods. Example on real part of Croatian power transmission network is given at the end of paper. This specific analysis demonstrates benefits of using SIPS based on synchro phasors in real world.
Skull R-CNN: A CNN-based network for the skull fracture detection

Skull fractures, following head trauma, may bring several complications and cause epidural hematomas. Therefore, it is of great signiﬁcance to locate the fracture in time. However, the manual detection is time-consuming and laborious, and the previous studies for the automatic detection could not achieve the accuracy and robustness for clinical application. In this work, based on the Faster R-CNN, we propose a novel method for more accurate skull fracture detection results, and we name it as the Skull R-CNN. Guiding by the morphological features of the skull, a skeleton-based region proposal method is proposed to make candidate boxes more concentrated in key regions and reduced invalid boxes. With this advantage, the region proposal network in Faster R-CNN is removed for less computation. On the other hand, a novel full resolution feature network is constructed to obtain more precise features to make the model more snesetive to small objects. Experiment results showed that most of skull fractures could be detected correctly by the proposed method in a short time. Compared to the previous works on the skull fracture detecion, Skull R-CNN signiﬁcantly reduces the less false positives, and keeps a high sensitivity.
Adapting State-of-the-Art Named Entity Recognition and Disambiguation Frameworks for Handling Clinical Text

The Named Entity Recognition and Disambiguation (NERD) task concerns with recognizing entity mentions in textual documents (e.g., recognizing names for diseases and disorders in clinical notes and in the free-text contents associated to electronic health records), and then associating the recognized entities to unambiguous entries in a given knowledge base (i.e., associate the recognized diseases to speciﬁc entries in the UMLS meta-thesaurus). NERD over clinical documents is particularly challenging due to issues such as the frequent usage of discontinuous entity mentions, the use of domain-speciﬁc abbreviations, or insufﬁcient contextual information. In this paper, we describe simple adaptations over existing state-of-the-art entity linking systems, developed for processing newswire documents, in order to adequately handle clinical text. We report on experiments with a well-known dataset in the area (e.g., with data from previous SemEval challenges on the analysis of clinical text), showing that existing NERD systems can easily be adapted to perform well on this particular domain.
Sustainability of Sheep and Goat Production Systems under United Arab Emirates’ Aridland Constraints

Sheep and goat production systems in the UAE within scarce natural resource constraints represent an ideal setting for studying input-use economic efficiency (production and allocative). Despite the importance of this subsector in the UAE, no reliable cross-sectional data was ever disseminated. The research objectives are to: obtain the baseline information on the existing small-ruminant farms in UAE; identify the responsiveness of output to percentage changes in inputs, rank the prominent inputs with the greatest impact on output level; and determine the corresponding allocative efficiency for the most significant inputs. A cross-section field survey that covered 661 mixed farms, with major sheep and goat production activities, was conducted in three areas of Al-Ain, the Western Region, and Abu Dhabi during 2012. Cobb-Douglas double-logarithmic production function approach was applied to estimate the important economic derivatives. A multidisciplinary approach was implemented to better understand the integration of biological and economic perspectives of the issue. Results indicated inefficiency of the inputs utilized for sheep and goats separately; where all of the inputs used in sheep production were overutilized, whereas those used in goat production were two underutilized, one overutilized, with only one input close to economic-use optimality. Study beneficiaries include strategic-decision makers and individual sheep and goats producers. © 2013 Published by Elsevier B.V. Selection and/or peer review under responsibility of Asia-Pacific Chemical, Biological & Environmental Engineering Society
Use of Superconductors in the Excitation System of Electric Generators Adapted to Renewable Energy Sources YBCO superconducting magnets for low speed synchronous generators

This thesis studies the general use of hightemperature superconducting materials in the transverse flux excitation system for low speed electrical generators, in particular the use of YBCO superconductors. First, an electro-thermal coupled model for simulation of bulk superconductors and its hysteretic magnetization was developed, tested and experimentally verified. The characteristics of high temperature superconductors under the influence of time-varying magnetic fields have been studied, specifically for the material YBCO, and their implication on joule losses, namely taking advantage of the electro-thermal model implemented in a finite element software. It was found that joule losses increase with the applied magnetic field and, in an almost linear dependency, with its frequency. Similarly, for better internal characteristics of the material, which provide better performance, higher losses are obtained. Regarding the two cooling techniques, and due to the characteristic hysteresis cycle of the material, it has been shown that Field Cooling has lower losses than Zero Field Cooling. Some temperature analyzes are done to support the results obtained.
Development and Analysis of Relational Behaviors in Soccer Robots

- This work focuses on the developing and analyzing relational behaviors between autonomous robots, in a team of robotic soccer. It is described a way to model the environment that evolves a match of robotic soccer and to model the actions and behaviors that a robot must perform, based on Petri Nets. The problems of relational behaviors are described, such as communication, synchronization and commitment. It’s introduced a new model that deals with all these features. Two different kinds of passes were developed, short and long, on which are were two analyses: qualitative, using the Petri Nets properties, and quantitative, using Markov Chains.
SAVIOR: Securing Autonomous Vehicles with Robust Physical Invariants

Autonomous Vehicles (AVs), including aerial, sea, and ground vehicles, assess their environment with a variety of sensors and actuators that allow them to perform speci ﬁ c tasks such as navigating a route, hovering, or avoiding collisions. So far, AVs tend to trust the information provided by their sensors to make navigation decisions without data validation or veri ﬁ cation, and therefore, attackers can exploit these limitations by feeding erroneous sensor data with the intention of disrupting or taking control of the system. In this paper we introduce SAVIOR: an architecture for securing autonomous vehicles with robust physical invariants. We implement and validate our proposal on two popular open-source controllers for aerial and ground vehicles, and demonstrate its effectiveness.
Interface C´erebro-Computador (BCI) no Paradigma de Imagiologia Motora

Brain-Computer Interfacing is a very active research ﬁeld at the moment, attempting to create a direct channel of communication between the brain and a computer. This is especially important for patients that are ”locked in”, as they have limited motor function and thus require an alternative means of communication. One way of controlling a Brain-Computer Interface (BCI) is through the imagination of motor tasks, which produce measurable changes on the ongoing Electroencephalogram (EEG), such as the so called Event-Related Desynchronization (ERD). Traditionally, ERD is measured through the estimation of EEG signal power in speciﬁc frequency bands. In this thesis, a new method based on the phase information from the EEG channels, through the Phase-Locking Factor (PLF), is proposed. Both feature types were tested in real data obtained from 6 voluntary subjects, who performed 7 motor tasks in an EEG session. The features were classiﬁed using Support Vector Machine (SVM) classiﬁers organized in a hierarchical structure. The results show that the PLF features are better, with an average accuracy of ≈ 86%, against an accuracy of ≈ 70% for the band power features. Although more research is still needed, the PLF measure shows promising results for use in a BCI system.
Topology Estimation of a Camera Network Using Sparse Methods

— This work studies the topological representation of multi-camera, non-overlapping, vigilance systems, through graphs, using data from pedestrian's trajectories. The topological information of a system is very useful for the re-identification problems. By knowing the possible paths in an environment, when a pedestrian disappears from the image of a camera, the number of possible places where he could reappear decreases, making the problem easier to solve. The nodes of the graphs that we want to obtain will be the entry and exit zones of the fields of view of the cameras and the links represent the possible paths in the considered environment. The thesis proposes an automatic estimation method of sparse graphs. For that, we use the data of the verified paths in the environment. These data may contain errors and, consequently, not all the links verified in it will be true. The proposed method uses these data and assigns weights to all the links verified in it, based on the number of occurrences for each path and the similarity of feature vectors associated with each pedestrian, at the moments of entry and exit of the fields of view of the cameras. The proposed method was tested using data generated by a simulator. We performed tests in the presence of a fixed noise in the feature vectors and for several values of the percentage of errors of missed detections and of false positives.
Fostering the use of Electronic Health Record data for better clinical management and patient safety: Methodology for the evaluation of early warning scores to predict in hospital sudden cardiac arrest

Early Warning Scores (EWS) are weighted scoring systems to activate emergency teams or direct patients to an Intensive Care Unit based on deterioration of vital signs or other physiological parameters. Some patients that have an in-hospital Sudden Cardiac Arrest (SCA) are known to deteriorate hours before the event. The National EWS (NEWS) was recently implemented in two hospitals managed by José de Melo Saúde however the applicability of NEWS on such context was not evaluated nor tested against other systems to predict SCA. Therefore, this thesis will start by identifying evidence based methods to predict in-hospital SCA, then assess completeness of EHR data based on EWS parameters and finally compare the performance of NEWS to other relevant EWSs using different methods to evaluate binary classifiers and interpreting its meaning for unbalanced data. The overall objective was to improve methods to evaluate and choose an EWS to predict in-hospital SCA. The proposed approach was applied to a database with 26367 patients and 39340 episodes observations from the Hospital CUF Infante Santo, 9 of which had a SCA. To compare NEWS against Cardiac Arrest Risk Triage on performance of prediction of SCA, Receiver Operating Characteristic (ROC), Precision Recall and other metrics were used. Results showed that almost all parameters were recorded in less than 60% of the episodes and that performance of EWSs should be determined for specific thresholds and tolerated tradeoffs, using metrics that take into account prevalence, instead of misleading commonly used summary metrics like area under the ROC.
Public Information System about the Air Quality in Lisbon

Monitoring air pollution and the appropriate action to restrain the anthropogenic emissions of chemicals into the atmosphere, has been something that has concerned public health officials and the citizens themselves more and more. The monitoring is currently, in its vast majority, made by stations of a fixed nature with few points of data collection. The use of mobile atmospheric monitoring stations integrated on a network of public buses creates the possibility of monitoring at various points of a city taking advantage of its mobility. URBISNET is a project aiming to assemble a low cost pollution monitoring network, built on a top of a wireless sensor network installed on the public bus fleet of Lisbon. One of the challenges that this system has, is storing, analysing and publicly publishing the captured data. If this last step is done on the Internet, then it has the potential to substantially increase social awareness and public involvement in environmental sustainability. This work focused on estimating maps of the atmospheric pollutants and their main characteristics based on samples collected under the URBISNET project. Data collected from the atmospheric pollutants on the last decade is analysed to define the main characteristics for the geostatistical model. Also, synthetic data is presented and analysed concerning the quality of the algorithms used. A comparison between these values and data generated with a Callpuff model is presented. An analysis is also made to the parallel performance of the Ordinary Kriging implementation made. Finally, the accesss times to the webpage created are shown and compared. The evaluation made to the implemented work proved the correct operation of its features and a very satisfactory performance by them.
X-ray Resonant Exchange Scattering: Polarization Dependence and Correlation Functions

The cross section for X-ray resonant exchange scattering is reformulated in terms of linear polarization states perpendicular and parallel to the scattering plane, a basis particularly well suited to synchrotron X-ray diffraction experiments. The explicit polarization dependence of the terms is calculated for the electric dipole and quadrupole contributions. This expression, in turn, is rewritten in an orthonormal basis to highlight the dependence of the cross section on each component of the magnetic moment. This has the benefit of providing an empirically useful expression for the cross section. Diffraction patterns from a few simple magnetic structures are calculated. Finally, the correlation function measured at each resonant harmonic is derived.
The changes of v, ?3, 4, 1 integrins expression and osteopontin their ligands in murine estrous cycle

فده : لوكلوم تيمها هب هجوت اب هنلا رد نيرگتنيا ياه لوكلوم نيا نايب يوگلا رد يفاك تاعلاطا مدع و ينيزگ اه لوكلوم نيا يسررب سورتسا هخرچ فلتخم لحارم رد سورتـسا هـخرچ فلتخم لحارم يط شوم رتمودنا رد اه يرورض هب رظن م ي دسر . شور و داوم اه : شوم قيقحت نيا رد هعلاطم دروم تاناويح داژن غلاب ياه NMRI دادعت 15 نس اب رس 6 8 دـندوب هتفه . تم ،سورتسا ،سورتساورپ سورتسا هخرچ فلتخم لحارم ادتبا يد و سورتسا لولـس يسررب قيرط زا سورتسا يـسانش دش نييعت لانيژاو ريمسا . شوم س لقادح دادعت هب اه هباج اب هلحرم ره رد سأر ه هرـهم يياج و هدـش هتشـك يـندرگ ياـه زا يتفاب هنومن
Swiping right for love?

In order of measuring the relationship between Tinder intensity and self-esteem, the Tinder Intensity Scale was developed in this present study. The scale was developed with help from exploratory factor analysis (EFA) measuring dimensionality and Cronbach's alpha testing the interrelations between the scale items. The EFA found that the Tinder Intensity Scale (Cronbach’s alpha 0.75) consists of two dimensions, one measuring frequency and emotional connection and the other measured dating behavior, such as being the first one to contact a match. The index-scores were used to measure the relationship between the self-esteem score and Tinder Intensity Scale and the scales’ two dimensions. The findings of this study suggest that the relationship between self-esteem and Tinder intensity is rather weak for both men and women, but slightly higher for men’s dating behavior and self-esteem. A reason for this could be due to the low intensity on Tinder in this sample. For future research, it is suggested to examine the relationship on a larger sample. Another suggestion is to determine causality between Tinder use and self-esteem by doing a longitudinal study, where self-esteem is measured pre-Tinder usage and after using Tinder.