Miracle-dz/UniFAR-FTUs huggingface dataset:
Estudo comparativo entre antlmoniato de meglumina, isotianato de pentamidina e sulfato de aminosidine, no tratamento de lesões cutâneas primárias causadas por Leishmania (viannia) braziliensis

With the aim of comparing the therapeutic efficacy, tolerability and toxicity of meglumine antimoniate, aminosidine sulphate andpentamidine isethionate, a field study was conducted on randomized treatment of patients with primary cutaneous leishmaniasis due to Leishmania (Viannia) braziliensis (L(V)b), in Cone de Pedra, BA, from October 1992 up to January 1993- Forty six patients were treated and distributed into three groups, two with 15 and one with 16 subjects. All patients were submitted to clinical examination, histopatological and immunological investigations, as diagnostic criterium. All patients were treated by intramusculaiy route. Group 1 received pentamidine 4mg/kg/every 2 days, for 8 applications; Group 2 recieved aminosidine 20 mg/kg/day, for 20 days, and Group 3 recieveid meglumine lOmg Sln/kg/day, for 20 days. Failure of therapy was defined as ulceration of the skin lesion four months after treatment. Such failure occurred in five cases as follows: two cases in patients of group 1 one case in patients of group 2, and two cases in group 3, after the first year of follow up. In the evaluation after three years we rewied fifteen patients, five in each group; except for one in Group 3, all of them were cured. Statistical significance of the results beetween the three schedules used was not verified.
Enfermedades periodontales asociadas a la infección del virus de inmunodeficiencia adquirida, reporte de lesiones orales y corporales

Since the beginning of the infection by the Human Immune-deficiency Virus (HIV) epidemic the involvement of the oral cavity, periodontal tissues and cutaneous tissues has been observed. Severe forms of the disease have occurred in individuals with this infection, among them; Gingival Linear Erythema, Ulcerative Necrotizing Gingivitis (UNG), ulcerative necrotizing periodontitis (UNP), besides pathologies such as Candidiasis, hairy leukoplakia and Kaposi’s sarcoma among other; and seborrheic dermatitis, folliculitis, xerosis, and molluscum contagiosum as cutaneous diseases. There is a disposition towards chronic periodontitis among these patients and the UNP is an infection characterized by gingival necrosis, invasion of the papillae, bleeding and pain. The incidence of oral lesions has been correlated to the clinical features, demographic, immunological and viral parameters. Diverse periodontal and corporal lesions in a male 21 years old with the presumptive diagnosis of HIV/AIDS and UNG/UNP are reported in the present communication. This patient assisted at the Periodontia Graduate Clinic at the Universidad Autonoma de Guadalajara, Jalisco. In
Illustrated Essentials in Orthopedic Physical Assessment

Chapter 1 Diagnostic Instrumentation Chapter 2 Cardinal Signs and Symptoms Chapter 3 Cervical Spine Chapter 4 Shoulder Chapter 5 Elbow Chapter 6 Forearm, Wrist, and Hand Chapter 7 Thoracic Spine Chapter 8 Lumbar Spine Chapter 9 Pelvis Chapter 10 Hip Chapter 11 Knee Chapter 12 Leg, Ankle, and Foot Chapter 13 Malingering Glossary of Abbreviations* Cross Reference Tables for Tissue or Area Examined Index
Load reduction based on a stochastic disturbance observer for a 5 MW IPC wind turbine

Control and operation systems of wind turbines must primarily ensure the fully automatic operation of wind turbines in a constantly changing environment. Economic efficiency charges the control system to ensure that the highest possible efficiency is achieved and the mechanical loads caused by disturbances are minimized. The ability of an observer, in this case a Kalman filter (Kf), to estimate non-measurable states from a set of measurements using a model of the plant suggests the idea of extending the model of the plant by a model of the disturbance. Disturbance states thus can be reconstructed and an easy-to-determine quasi-disturbance-feedforward controller can be used to reject them. This method is called Disturbance-Accommodating Control (DAC). In this paper, Dryden’s turbulence model-which shapes a white noise signal via a form filter to meet spectrum conditions - and an inverse notch filter to model the rotational sampling effect are used for each blade, in contrary to the hitherto used deterministic disturbance models or the simple random walk models for stochastic turbulence. Measurement- and model-uncertainties are described as uncorrelated white noise. With this approach, the requirements of the Kf derivation are met and quantitative measures for the Kf process noise covariance matrix are available especially for the disturbance. The simplified tuning process and the high potential for load reduction are demonstrated for the NREL 5 MW Wind turbine. The reduction by a factor of 4.4 of the standard deviation of the flapwise root bending moment shows the high potential of this stochastic DAC approach. A parameter study to determine the influence of the turbulence spectrum bandwidth and to identify the dependency of the stochastic DAC approach on uncertainties of the process noise covariance matrix was performed. The study shows that the Kf is robust against a wide spectrum of parameter variations. Only if the time constant of the Dryden filter is significantly reduced, the performance is decreased.
DEVELOPMENT OF DIGITAL LITERACY AMONG STUDENTS AND POTENTIAL RISKS OF DIGITAL DEMENTIA

Přispěvek popisuje soucasne pojeti digitalni gramotnosti žaků a zabýva se možnými riziky tzv. digitalni demence. Dale je toto riziko davano do souvislosti s výsledky výzkumu, který zkoumal, jakým způsobem a k cemu použivaji žaci na zakladnich skolach Facebook.
WORK SKILLS NEEDED BY UNDERGRADUATES TO ENHANCE GOOD GOVERNANCE IN RIVERS STATE

The study investigated work skills needed by undergraduates to enhance good governance in Rivers State. Two research questions were posed and hypotheses were formulated to guide the focus of the study. The population of the study consists of 29 instructors drawn from three universities in Rivers State. No sample was taken considering the manageable size of the population. A self-developed instrument was used to elicit information from the respondents. Three experts validated the instrument. Test-retest method was adopted to determine the reliability of the instrument. Mean and standard deviation was used to answer the research questions while ANOVA statistical tool was employed to test the hypotheses. The finding revealed 10 technical skills needed by undergraduates of motor vehicle mechanic unit to maintain ignition system to enhance good governance, 10 technical skills needed by undergraduates of motor vehicle mechanic unit to maintain and repair fuel system of modern motor vehicle to enhance good governance in Rivers State. Based on these findings, recommendations were made that government should ensure regularly supply modern tools and equipment of motor vehicle to university workshops as to update the skills of the student, also the undergraduates should be practically trained for the period of 18 months in the motor vehicle industries to pave way for better understanding of the work skills needed to repair ignition and fuel system among others.
Development, Implementation and Pre-clinical Evaluation of Medical Image Computing Tools in Support of Computer-aided Diagnosis: Respiratory, Orthopedic and Cardiac Applications

Over the last decade, image processing tools have become crucial components of all clinical and research efforts involving medical imaging and associated applications. The imaging data available to the radiologists continue to increase their workload, raising the need for efficient identification and visualization of the required image data necessary for clinical assessment. Computer-aided diagnosis (CAD) in medical imaging has evolved in response to the need for techniques that can assist the radiologists to increase throughput while reducing human error and bias without compromising the outcome of the screening, diagnosis or disease assessment. More intelligent, but simple, consistent and less time consuming methods will become more widespread, reducing user variability, while also revealing information in a more clear, visual way. Several routine image processing approaches, including localization, segmentation, registration, and fusion, are critical for enhancing and enabling the development of CAD techniques. However, changes in clinical workflow require significant adjustments and re-training and, despite the efforts of the academic research community to develop state-of-the-art algorithms and high performance techniques, their footprint often hampers their clinical use. Currently, the main challenge seems to not be the lack of tools and techniques for medical image processing, analysis and computing, but rather the lack of clinically feasible solutions that leverage the already developed and existing tools and techniques, as well as a demonstration of the potential clinical impact of such tools. Recently, more and more efforts have been dedicated to devising new algorithms for localization, segmentation or registration, while their potential and much intended clinical use and their actual utility is dwarfed by the scientific, algorithmic and developmental novelty that only result in incremental improvements over already algorithms. In this thesis, we propose and demonstrate the implementation and evaluation of several different methodological guidelines that ensure the development of image processing tools — localization, segmentation and registration — and illustrate their use across several medical imaging modalities — X-ray, computed tomography, ultrasound and magnetic resonance imaging — and several clinical applications: • Lung CT image registration in support for assessment of pulmonary nodule growth rate and disease progression from thoracic CT images. • Automated reconstruction of standing X-ray panoramas from multi-sector Xray images for assessment of long limb mechanical axis and knee misalignment.
Does the Halting Necessary for Hardware Trace Collection Inordinately Perturb the Results

DOES THE HALTING NECESSARY FOR HARDWARE TRACE COLLECTION INORDINATELY PERTURB THE RESULTS? Myles G. Watson Department of Computer Science Master of Science Processor address traces are invaluable for characterizing workloads and testing proposed memory hierarchies. Long traces are needed to exercise modern cache designs and produce meaningful results, but are difficult to collect with hardware monitors because microprocessors access memory too frequently for disks or other large storage to keep up. The small, fast buffers of the monitors fill quickly; in order to obtain long contiguous traces, the processor must be stopped while the buffer is emptied. This halting may perturb the traces collected, but this cannot be measured directly, since long uninterrupted traces cannot be collected. We make the case that hardware performance counters, which collect runtime statistics without influencing execution, can be used to measure halting effects. We use the performance counters of the Pentium 4 processor to collect statistics while halting the processor as if traces were being collected. We then compare these results to the statistics obtained from unhalted runs. We present our results in terms of which counters are affected, why, and what this means for trace-collection systems.
Efficient deep learning of 3D structural brain MRIs for manifold learning and lesion segmentation with application to multiple sclerosis

Deep learning methods have shown great success in many research areas such as object recognition, speech recognition, and natural language understanding, due to their ability to automatically learn a hierarchical set of features that is tuned to a given domain and robust to large variability. This motivates the use of deep learning for neurological applications, because the large variability in brain morphology and varying contrasts produced by different MRI scanners makes the automatic analysis of brain images challenging. However, 3D brain images pose unique challenges due to their complex content and high dimensionality relative to the typical number of images available, making optimization of deep networks and evaluation of extracted features difficult. In order to facilitate the training on large 3D volumes, we have developed a novel training method for deep networks that is optimized for speed and memory. Our method performs training of convolutional deep belief networks and convolutional neural networks in the frequency domain, which replaces the time-consuming calculation of convolutions with element-wise multiplications, while adding only a small number of Fourier transforms. We demonstrate the potential of deep learning for neurological image analysis using two applications. One is the development of a fully automatic multiple sclerosis (MS) lesion segmentation method based on a new type of convolutional neural network that consists of two interconnected pathways for feature extraction and lesion prediction. This
Analysis of UXSS exploits and mitigations in Chromium

​2 Background ​3 Overview ​4 Bug Reports Analyzed ​5 Distribution Over Time ​5 Analysis Of Bugs ​6 Class 1. [16 items] Blink: abusing parser initiated javascript: URI page loads ​6 Description ​6 Hardening Measures ​6 Reports ​6 Class 2. [6 items] Blink: missing or incorrect usage of cross-origin access checks ​8 Description ​8 Hardening Measures ​8 Reports ​8 Class 3. [10 items] Blink and V8: incorrect context used ​9 Description ​9 Reports ​10 Class 4. [11 items] Navigation: isNavigationAllowed() bypass, missing or bypassed ScriptForbiddenScope, etc ​11 Description ​11 Hardening Measures ​11 Reports ​12 Class 5. [8 items] Extensions API: leak of a function or an object and use of an arbitrary or a hijacked createContext ​12 Description ​12 Reports ​13 Class 6. [3 items] V8: missing or incorrect usage of access check ​14 Description ​14 Reports ​14
Performance Analysis of Mobile WiMAX System using Forward Error Correction and Space Time Coding Techniques

WiMAX is a wireless broadband solution that offers a rich set of features with a lot of flexibility in terms of deployment options and potential service offerings. Broadband access not only provides faster web surfing and quicker file downloads but also enables several multimedia applications such as real-time audio and video streaming, multimedia conferencing and interactive gaming. WiMAX (Worldwide Interoperability for Microwave Access) technology is designed to accommodate both fixed and mobile broadband applications. User demands are growing and the available spectrum is limited. This problem can be overcome by WiMAX. WiMAX supports high data rates. The performance of mobile WiMAX system can be enhanced by using channel and space-time coding techniques. The BER (bit-error rate) can be reduced by using better channel coding techniques. In this paper, mobile WiMAX system using LDPC (Low Density Parity Check) and Turbo coding is simulated. STBC and STTC techniques are also employed to analyze the bit-error rate.
Modélisation multidimensionnelle des tableaux de bord prospectifs

L'informatique decisionnelle vise a accroitre la flexibilite et la reactivite des organisations face aux changements impliques par l'introduction des nouvelles technologies de l'information et de la communication. C'est un concept generique mettant en cause des concepts plus vastes de Data Warehouses (entrepots de donnees), tableaux de bord, etc. L'entrepot de donnees correspond a une collection de donnees extirpees de bases de donnees. Les bases de donnees (BD) alimentant l'entrepot sont multi-sources, distribuees et heterogenes, traduisant soit une diversite de technologies et d'acces, soit une diversite de perception et de representation. Alors que les premiers tableaux de bords etaient elabores dans un cadre etroit de donnees comptables, ceux-ci ont ensuite evolue vers l'exploitation de donnees multi-origines, d'ou leur integration dans des environnements de Data Warehouses. Nous avons enfin la toute derniere generation qui nous vient des USA (par Robert S. Kaplan et David P. Norton), a savoir les tableaux de bords prospectifs (Balanced Scorecards ou BSC), ensemble de mesures directement liees a la vision et la strategie d'entreprise, et organisees selon quatre axes : les finances, les clients, les processus operationnels et l'apprentissage. Nous nous interessons dans cet article a la construction de tableaux de bord prospectifs dans des environnements de Data Warehouses.
Sap R/3 System: A Client/Server Technology

From the Publisher: This book presents the basic principles of this technology and how they are applied in the SAP R/3 System: What is client/server computing? Basic technical principles of client/server systems The technical architecture of the R/3 System Application development using the ABAP/4 Development Workbench The business applications of the R/3 System Experience gained from real-world implementations of the R/3 System This book is based on R/3 Release 3.x, which has undergone extensive expansion in both business features and use of technology. Topics covered include: Component software with OLE, CORBA2, etc. Object-oriented concepts Use of online information services Electronic commerce on the WWW (World Wide Web) SAP's Data Warehouse concept The new R/3 System graphical user interface Development of multilingual applications Automatic load distribution during dialog and background processing R/3 memory management for the runtime environment SAP database administration R/3 release optimization The new features of the ABAP/4 Development Workbench SAP Business Workflow Application interfaces Distributed applications using ALE (Application Link Enabling) Implementation using the Business Engineering Workbench New client reports from Yamaha, Seattle Times and others
Caller Identification System in the Internet Environment

The Caller Identiication System is a security system designed to strengthen the security measures already present in the SNU(Seoul National University) local area network. It is a system made up of two main components and they are (1) an Extended TCP Wrapper(ETCPW) and (2) a Caller Identiication Server(CIS). The Extended TCP Wrapper(ETCPW) is, as its name suggests, a TCP Wrapperr1] with extra features added to it. The original TCP Wrapper was able to store information only about the immediate requester machine. The ETCPW , on the other hand, records and provides information on the complete route (starting from home-base to last machine used) taken by each user in the system. The other component, that is CIS, provides the network route of each user to the ETCPW so that ETCPW can check that user's identity. The one great advantage of the Caller Identiication System is that if a cracker has managed to invade a system, despite the added security measures, we are able to retrieve information (using post-mortem analysis) on that hacker's route, which will eventually lead us to his or her home machine.
A Key Sentences Based Convolution Neural Network for Text Sentiment Classification

Existing research treated all sentences in the text on an equal basis during the training process and did not consider that key sentences tend to have a stronger influence. We propose a Convolutional Neural Network text sentiment classification model based on the key sentences enhancement. The proposed model can identify key sentences in the text and generate text representation based on these key sentences to reduce noise and improve the accuracy of the model sentiment classification. The experiment results show that the proposed model improves the accuracy of the text sentiment classification compared with other classic text sentiment classification models.
Automatische multimodale Verkehrsmoduserkennung und Situationserfassung mit Hilfe von Fuzzy-Regeln

Im Verkehrsmanagement ist die Erfassung von verschiedenen Bewegungsinformationen sowohl bei Personen, z.B. anhand der Geschwindigkeit aus Smartphone-Sensoren oder aus digitalen Bildsequenzen von Ausenkameras, als auch bei Fahrzeugen und anderen Objekten von groser Bedeutung. Dadurch konnen verschiedene Verkehrssituationen besser analysiert und/oder gefahrliche Verkehrssituation vorausgesagt werden. Auserdem konnen verkehrsmittelangepasste Informationen und Applikationen angeboten werden. Diese Aufgabe ist mit technischen beziehungsweise kognitiv-ahnlichen Erkennungsprozessen verbunden. Die vollautomatische Entscheidung, ob eine Datensequenz von mobilen Geraten wie GPS-Positionen oder G-Sensor- Daten zu einem Fusganger, zu einem Fahrzeug- oder zu einem Bus-, Bahnpassagier gehoren, ist nicht immer eindeutig. Die Realisierung anhand des Geschwindigkeitsprofils ohne weitere Informationen (z.B. Karteninformationen) ist immer noch eine technische Herausforderung. Eine Multi-Mode-Erkennung ist noch schwieriger und wurde noch nicht realisiert. Dabei wechselt eine Person seinen Verkehrsmodus (Fusganger ! Bahn ! Fahrrad) innerhalb eines Datensatzes. Die vorliegende Arbeit konzentriert sich in erster Linie auf die Untersuchung von Smartphone- Sensordaten und macht Vorschlage, wie verschiedene Bewegungsmodi mit Fuzzy-Regel als Bewegungsmodus-Klassifikatoren erkannt werden konnen. Abschliesend gibt sie einen Ausblick auf mogliche zukunftige Applikationen.
Improving the Use of Information Systems for Hospital Management Using Balanced Scorecard Framework

Hospital management teams receive voluminous data from variety of sources; these teams are unable to extract these data into the essential information for strategic decisions. It is as a result of this that this study is using a framework called the Balanced Scorecard (BSC), the development of an iterative prototyping system, user survey and focus group methods based on BSC to improve the use of information systems for Hospital management at Suntreso Government hospital. The study described in this paper has analyzed performance management tools like the Baldrige, the lean and balanced scorecard. The main focus is on the balanced scorecard management tool as a result of the numerous advantages it has over the others. The study used Balanced Scorecard (BSC) as part of a management control system for implementing strategies in Suntreso Government Hospital. A case study was conducted using the maternity and children’s ward unit to measure innovations. Data was collected from DHMIS at the hospital before and after the end of the study, the information prototyping software developed, displays graphical relationships between key indicators like the length of stay, the average waiting time which shows progress in the PSUs. The results of the study is that SGH has adopted the concept, PSUs now formulate their plans using BSC, focus groups are satisfied with ease of access and the format of the information prototyping system. The study identified problems for the two patients units, then solutions were proposed to the management unit. That is using the balanced scorecard framework, a proposed information prototype system to check the average length of stay, the average waiting time, complication rate among others was provided.