Miracle-dz/UniFAR-FTUs huggingface dataset:
What is your diagnosis?

DOI: 10.4274/jtgga.galenos. 2018.2018. 0149 Address for Correspondence: Selçuk Sarıkaya e.mail: drselcuksarikaya@hotmail.com ORCID ID: orcid.org/0000-0001-6426-1398 Received: 06 January, 2019 Accepted: 27 January, 2019 A 53-year-old female patient was admitted to Hacettepe University Faculty of Medicine, Department of Urology outpatient clinic with dysuria, swelling in the left inguinal region, and severe urinary incontinence symptoms. Informed consent was gained from the patient before the study. The patient had stress-type urinary incontinence and a history of midurethral sling surgery 10 years ago due to her symptoms. Incontinence symptoms reduced in the first three postoperative months but there was recurrence afterwards. The patient had hypertension but no other comorbidities. According to the physical examination, there was grade I-II cystocele and vaginal atrophy. The Bonney stress test was positive and there was erosion in the left inguinal region due to the previous sling operation. Ultrasonography revealed abscess formation and mesh erosion in the left inguinal region. The same findings were observed with computed tomography. Afterwards, cystometry was performed; the maximum vesical capacity was 637 mL and the maximum vesical pressure was 33 cm H2O. Simultaneously, cystography revealed urine leakage while standing and there were no trabeculations. The uroflowmetry result was normal and there was no residual volume. The abscess formation was thought to be as a result of the mesh inflammation. Mesh excision, abscess drainage, and fascial transobturator sling operation was planned for the patient. During the operation, an approximately 4 cm-diameter mass due to mesh inflammation was excised from the left inguinal region, reaching to the retropubic area (Figure 1).
Desaturation-Induced Brightness in Face Color Perception

The distinctiveness of perception of face from nonface objects has been noted previously. However, face brightness is often confounded with whiteness in the beauty industry; few studies have examined these perceptual differences. To investigate the interactions among face color attributes, we measured the effect of saturation on brightness and whiteness in both uniform color patches and face images to elucidate the relationship between these two perceptions. We found that, at constant luminance, a uniform color patch looked brighter with an increase in saturation (i.e., the Helmholtz–Kohlrausch effect occurred), while in contrast, brightness of a facial skin image looked less bright with increased saturation (i.e., contrary to the Helmholtz–Kohlrausch effect), which suggested this interaction of color attributes was influenced by top-down information. We conclude that this inverse effect of saturation on brightness for face images is not due to face recognition, color range of the skin tone, the luminance distribution, or recognition of human skin but due to the composite interactions of these facial skin factors in higher order recognition mechanisms.
Hydroclimatic variations reveal differences in carbon capture in two sympatric conifers in northern Mexico

Background Forest ecosystems are considered among the largest terrestrial carbon sinks. The dynamics of forest carbon depend on where the carbon is stored and its responses to environmental factors, as well as the physiology of the trees. Thus, threatened forest regions with high biodiversity have great scientific importance, such as the Sierra Madre Occidental in Mexico. A comparative analysis of tree species can expand the knowledge of the carbon cycle dynamics and ecological processes in this region. Here, we examined the growth, wood density, and carbon accumulation of two threatened species (Pseudotsuga menziesii and Cupressus lusitanica) to evaluate their hydroclimatic responsiveness. Methods The temporal variations in the carbon accumulation patterns of two co-occurring species (P. menziesii and C. lusitanica) and their sensitivity to the local climate were studied using dendroecological techniques, X-ray densitometry, and allometric equations. Results The results show that the annual carbon accumulation in C. lusitanica is positively associated with the temperature during the current fall, while the carbon accumulation in P. menziesii is correlated with the rainfall during the winter of the previous year. The climatic responses are associated with the intra-annual variations of wood density and ring widths for each species. The ring width was strongly correlated with carbon accumulation in C. lusitanica, while the mean wood density was linked to carbon accumulation in P. menziesii. Discussion This study has implications for the carbon accumulation rates of both species, revealing differences in the carbon capture patterns in response to climatic variations. Although the species coexist, there are variation in the hydroclimatic sensitivity of the annual carbon sequestered by trunks of trees, which would be associated with tree-ring width and/or wood density, i.e., directly by anatomical features. The results are relevant to analyze the response to the variability of climatic conditions expected in the near future of the tree communities of Sierra Madre Occidental. Therefore, this study provides a basis for modeling the long-term carbon budget projections in terrestrial ecosystems in northern Mexico.
A New Era for Rotational Atherectomy: An Australian Perspective

Background: Rotational atherectomy (RA) has been used in percutaneous coronary intervention (PCI) for 30 years. With advances in technology, this observational study looks at how rates of RA have changed over the past decade in Australia in relation to PCI and coronary artery bypass graft (CABG) rates. Methods: Retrospective analysis of RA, PCI, and CABG rates per Australian state from Australian Government Department of Human Services’ data on Medicare items from 2007 to 2017 was carried out. Results: There were 149 RA procedures in 2007, increasing to 452 in 2017. Rotational atherectomy accounted for 0.67% of PCI procedures in 2007, increasing to 1.48% in 2018 (+0.81%, 95% confidence interval [CI] = [0.64%-0.91%]; P < .001). Most of this increase has come from procedures in New South Wales (441% increase). Australian PCI rate increased from 22 301 to 30 480. Rate of CABG decreased from 5418 to 5206. Conclusions: From 2007 to 2017, rates of RA trebled in Australia. This is despite stable rates of PCI and a fall in rates of CABG. There are several clinical explanations for this trend.
Lobaplatin Inhibits Prostate Cancer Proliferation and Migration Through Regulation of BCL2 and BAX

Lobaplatin is a diastereometric mixture of platinum (II) complexes, which contain a 1,2-bis (aminomethyl) cyclobutane stable ligand and lactic acid. Previous studies have showed that lobaplatin plays inhibiting roles in various types of tumors. However, the role of lobaplatin in prostate cancer remains unknown. Cell viability was detected by 3-(4,5-dimethyl-2-thiazolyl)-2,5-diphenyl-2-H-tetrazolium bromide assay. Cell proliferation was detected by cell colony formation assay. Cell migration and invasion were determined by transwell migration and invasion assay. Cell apoptosis was detected by flow cytometry. The messenger RNA and protein expression levels were detected by quantitative real-time polymerase chain reaction and Western blot. Lobaplatin treatment inhibits cell viability, cell proliferation, cell migration, and invasion, while promotes cell apoptosis of prostate cancer cell lines DU145 and PC3. Meanwhile, lobaplatin treatment regulates apoptosis by downregulation of BCL2 expression and upregulation of BAX expression levels. Our study suggests lobaplatin inhibits prostate cancer proliferation and migration through regulation of BCL2 and BAX expression.
A third-order ΔΣ modulator using second-order noise-shaping dynamic element matching

A multibit /spl Delta/-/spl Sigma/ modulator is an attractive way of realizing a high-accuracy, high-speed, and low-power data converter. However, the overall resolution of the modulator is determined by the internal digital-to-analog conversion (DAC) linearity. Methods for high-order noise shaping, noise-shaping dynamic element matching (NSDEM), have been proposed in order to overcome this drawback. However, a real implementation has not been realized until now. This paper presents the actual circuit configuration of a tree-structured NSDEM (TNSDEM) technique, which is applied to a multibit /spl Delta/-/spl Sigma/ DAC and analog-to-digital converter (ADC) using a nine-level internal DAC. This is the first report of a /spl Delta/-/spl Sigma/ ADC and DAC using the second-order NSDEM method. The test chip of the third-order /spl Delta/-/spl Sigma/ ADC realizes a signal bandwidth of 100 kHz and a dynamic range of 79 dB in the ADC and 80 dB in the DAC. The test chip only consumes 9.6 mW in the ADC and 5.2 mW in the DAC with a 2.7 V power supply.
A statistical approach to place recognition in SLAM

In simultaneous localisation and mapping (SLAM), a mobile robot needs to recognise previously visited locations in order to effectively tackle the problem of loop-closing. This paper presents a statistical approach for place recognition to be used in SLAM, that generates and stores reliable information of the mapped places. The method uses statistical properties of the topology of the features within an environment to construct a statistical signature that identifies places already seen by the robot. Place recognition is done by comparing the current statistical signature with those already acquired. A SLAM system incorporated with this algorithm, will be able to incrementally build a map, trace its trajectory whilst recognising previously visited locations using only range and bearing data. A key advantage of this scheme is its non-dependence on light intensity and robot pose. Simulations show that the proposed approach could improve the loop closing problem by accurately identifying previously visited locations. (6 pages)
High Level Architecture (HLA) Federation with Umbra and OPNET Federates

Network-centric systems that depend on mobile wireless ad hoc networks for their information exchange require detailed analysis to support their development. In many cases, this critical analysis is best provided with high-fidelity system simulations that include the effects of network architectures and protocols. In this research, we developed a high-fidelity system simulation capability using an HLA federation. The HLA federation, consisting of the Umbra system simulator and OPNET Modeler network simulator, provides a means for the system simulator to both affect, and be affected by, events in the network simulator. Advances are also made in increasing the fidelity of the wireless communication channel and reducing simulation run-time with a dead reckoning capability. A simulation experiment is included to demonstrate the developed modeling and simulation capability.
Robot programming with a genetic algorithm

Robot systems are an archetype of complex process control systems where valid production programs may have any number (>2) of process commands which are difficult to optimize with classical methods. Robot trajectories can be programmed automatically by a genetic algorithm, providing the algorithm will consider the order and varying lengths of trajectories. A genetic, adaptive, heuristic algorithm which is designed to optimize robot trajectories is described. Though the model presented is a general model for redundant structures and could represent any n-link structures, it was applied to a 3-link structure. The performance of the genetic algorithm shows characteristic improvements when compared with that of a hill-climb and random search algorithm. <<ETX>>
Packet Scheduling Distributed Online Weighted Algorithm on Inter-satellite Links

Satellite communication system includes inter-satellite links (ISL) for two terminals which are located in different coverage of two satellites. Proper mechanism of packet scheduling is needed to maximum the link efficiency after the ISL created. In this paper, a packet scheduling distributed online weighted algorithm on ISLs was advanced. This algorithm is fully taken into account to the limited loads and the real-time data transfer requirements of satellite communication system.
Detecting network intrusions by data mining and variable-length sequence pattern matching

Anomaly detection has been an active research topic in the field of network intrusion detection for many years. A novel method is presented for anomaly detection based on system calls into the kernels of Unix or Linux systems. The method uses the data mining technique to model the normal behavior of a privileged program and uses a variable-length pattern matching algorithm to perform the comparison of the current behavior and historic normal behavior, which is more suitable for this problem than the fixed-length pattern matching algorithm proposed by Forrest et al. At the detection stage, the particularity of the audit data is taken into account, and two alternative schemes could be used to distinguish between normalities and intrusions. The method gives attention to both computational efficiency and detection accuracy and is especially applicable for on-line detection. The performance of the method is evaluated using the typical testing data set, and the results show that it is significantly better than the anomaly detection method based on hidden Markov models proposed by Yan et al. and the method based on fixed-length patterns proposed by Forrest and Hofmeyr. The novel method has been applied to practical hosted-based intrusion detection systems and achieved high detection performance.
Generation and Application of Pseudorandom Sequences for Random Testing

The generation and application of pseudorandom sequences for random testing that we provide for you will be ultimate to give preference. This reading book is your chosen book to accompany you when in your free time, in your lonely. This kind of book can help you to heal the lonely and get or add the inspirations to be more inoperative. Yeah, book as the widow of the world can be very inspiring manners. As here, this book is also created by an inspiring author that can make influences of you to do more.
Speed and Position Sensorless Control of Permanent Magnet Synchronous Motor in Matrix Converter and Voltage Source Converter Applications

In this thesis the sensorless control of a permanent magnet synchronous motor (PMSM) is studied. The study has two main purposes. The first is to find a simple and effective method to estimate the rotor position and angular speed of the PMSM. The second is to test the applicability of a matrix converter in sensorless PMSM drives. A matrix converter (MC) enables a direct frequency conversion without DC-link with energy storage. In this thesis two matrix converter topologies, direct and indirect, are studied. The vector modulation and the current commutation strategies of a matrix converter are described. Non-ideal properties of frequency converters such as dead times, overlapping times and voltage losses over semiconductors are disturbances for a control system and position estimator. These non-idealities are studied and the properties of a conventional voltage source inverter are compared to direct and indirect MC topologies. The rotor position and angular speed of the PMSM can be estimated by various methods. Estimators can be divided into model based estimators and signal injection estimators. Model based estimators calculate mechanical quantities using the mathematical representation of the motor. Injection methods usually exploit the saliency of the PMSM. Injected voltage creates currents which are modulated by the rotor position. The position information can be extracted from measured currents. In this thesis the best features of model based and injection estimators are combined. In the proposed hybrid method signal injection is used at low speeds and the transition to model based estimator is performed when the speed increases. The estimator methods used in the hybrid estimator are selected by a comparative analysis and simulations. The most important criteria in the selection of the estimator method in this thesis are: simple algorithm and no need for modification of the modulator software or frequency converter. The suitability of the proposed hybrid estimator is tested by simulations and experimental tests in various operating conditions. To test the performance of the matrix converter the experiments are carried out using both MC topologies and a conventional voltage source converter. The results obtained show that a matrix converter can be used in PMSM drives where the speed and position of the PMSM are not measured. The proposed estimator method is stable over the nominal speed range including the zero speed region with full load torque.
Multipath source routing in wireless ad hoc networks

We propose a new multipath routing protocol for ad hoc wireless networks-multipath source routing (MSR), which is based on DSR (dynamic source routing). MSR extends DSR's route discovery and route maintenance mechanism to deal with multipath routing. Based on the measurement of RTT, we propose a scheme to distribute load between multiple paths. The simulation results show that our approach improves the throughput of TCP and UDP and the packet delivery ratio, and reduces the end-to-end delay and the queue size, while adding little overhead. As a result, MSR decreases the network congestion quite well.
Semi autonomous mine detection system

CMMAD is a risk reduction effort for the AMDS program. As part of CMMAD, multiple instances of semi autonomous robotic mine detection systems were created. Each instance consists of a robotic vehicle equipped with sensors required for navigation and marking, countermine sensors and a number of integrated software packages which provide for real time processing of the countermine sensor data as well as integrated control of the robotic vehicle, the sensor actuator and the sensor. These systems were used to investigate critical interest functions (CIF) related to countermine robotic systems. To address the autonomy CIF, the INL developed RIK was extended to allow for interaction with a mine sensor processing code (MSPC). In limited field testing this system performed well in detecting, marking and avoiding both AT and AP mines. Based on the results of the CMMAD investigation we conclude that autonomous robotic mine detection is feasible. In addition, CMMAD contributed critical technical advances with regard to sensing, data processing and sensor manipulation, which will advance the performance of future fieldable systems. As a result, no substantial technical barriers exist which preclude - from an autonomous robotic perspective - the rapid development and deployment of fieldable systems.
A Deep Web Data Extraction and Application System Based on Cloud Technology

There are so many Deep Webs in Internet, which contains a large amount of valuable data, This paper proposes a Deep Web data extraction and service system based on the principle of cloud technology. We adopt a kind of multi-node parallel computing system structure and design a task scheduling algorithm in the data extraction process, in above foundation, balance the task load of among nodes to accomplish data extraction rapidly; The experimental results show that cloud parallel computing and dispersed network resources are used to extract data in Deep Web system is valid and improves the data extraction efficiency of Deep Web and service quality.
The Power of "E": Using e-Portfolios to Build Online Presentation Skills

The "e" in e-portfolio makes a powerful statement. It divides the electronic portfolio from its paper counterpart, and in that separation it unlocks new opportunities for teaching and learning. In particular, a Web-based e-portfolio can become a vehicle for raising awareness of Web conventions and for fostering multimedia literacy, ultimately boosting students' online presentation skills. The power of e-portfolios, however, cannot be fully captured by their differences from paper portfolios; e-portfolios also present a valuable foil for social Web spaces, such as Facebook profiles, MySpace accounts, and blogs and Web sites created primarily for the purpose of sharing personal information with a social network. In contrast to these online environments, e-portfolios provide academic and professional Web spaces. Much of the power inherent in e-portfolios thus lies not only in their potential to build technology and Web publishing skills, but also, and more importantly, in their ability to advance students' knowledge of how to apply those skills effectively in academic and professional contexts.
CREF: An Editing Facility for Managing Structured Text

Abstract : This paper reports work in progress on an experimental text editor called CREF, the Cross Referenced Editing Facility. CREF deals with chunks of text, called segments, which may have associated features such as keywords or various kinds of links to other segments. Text in CREF is organized into linear collections for normal browsing. The use of summary and cross-reference links in CREF allows the imposition of an auxiliary network structure upon the text which can be useful for 'zooming in and out' or 'non-local transitions'. Although it was designed as a tool for use in complex protocol analysis by a 'Knowledge Engineer's Assistant,' CREF has many interesting features which should make it suitable for a wide variety of applications, including browsing, program editing, document preparation, and mail reading.
Scene recognition for mine rescue robot localization based on vision

一个新景色识别系统基于模糊逻辑被介绍并且隐藏 Markov 模型(唔) 那能在紧急情况期间在矿营救机器人本地化被使用。 系统使用单眼用的照相机获得机器人定位的矿环境的全向的图象。 由采用集中包围差别方法，突出的本地图象区域作为自然里程碑从图象被提取。 这些里程碑被使用组织唔到代表机器人的景色，并且模糊逻辑策略被用来匹配景色和里程碑。 由这样，本地化问题，是在系统的景色识别问题，能被变换成评估问题唔。 这些技巧的贡献让系统有能力在规模， 2D 旋转和观点处理变化。 实验的结果也证明系统在静态、动态的矿环境有识别和本地化的更高的比率。
Hamon: An Activity Recognition Framework for Health Monitoring Support in Home Environments

Nowadays, technology advances accelerate the quality and type of services provided for health care and especially for monitoring health conditions. Sensors have become more powerful to sense different physiological signs and have the ability to be worn on the human body using wireless communication modules. A variety of software tools have been developed to help in processing a variance list of vital signs by analyzing and visualizing data generated by multiple sensors. In this thesis, we introduced a Health signs and Activity recognition MONitoring framework (Hamon). Hamon, of German origin meaning a home protector, is designed to be an enabling prototype for health monitoring applications. Using off-the-shelf sensors, we implemented an activity detection framework for detecting five types of activity: falling, lying down, sitting, standing, and walking. The framework collects and analyzes sensory data in real-time, and provides different feedback to the users. In addition, it can generate alerts based on the detected events and store the data collected to a medical sever. Context information such as the weather condition, the type of activity, and physiological data collected such as the heart rate, is also integrated in the framework. A number of challenges have been addressed in this thesis including: the design and the implementation of the framework, the selection and the implementation of the activity recognition algorithm, and the classification method used for detection.