Miracle-dz/UniFAR-FTUs huggingface dataset:
Nonlinear control logic for an actuator to morph a wing: Design and experimental validation

This paper describes the design of a double loop fuzzy logic position and torque controller for wing morphing using brushed DC motors as actuators. The DC motor is used in this application as an actuator to change the shape of a wing upper surface. To morph the wing with these actuators, a mechanical system coupled to the actuators is integrated in the wing. The fuzzy logic technique is used to design two controllers: one for the position and the other for the torque, to control the position and the torque of the each actuator. The controllers are validated numerically with Matlab/Simulink software, followed by a physical implementation of the control and experimental validation setup in the PRICE-PAIDOUSSIS wind tunnel. The physical implementation is realized using a programmable power supply, the CPX400. The actuators are connected to the output of the power supply and the output of the torque controller, which is the command signal (voltage), is sent to the input of the programmable power supply. In addition to the design of the fuzzy controllers (position and current controller), their performance is compared to that of a Proportional Integral Derivative controller designed and experimentally tested in a previous approach.
Correlation between Angiographic in-Stent Restenosis and Post-procedural Glycosylated Hemoglobin Level in Diabetic Patients underwent Percutaneous Coronary Intervention with Drug eluting Stent

Background: Diabetes mellitus is a common, complex, and chronic metabolic disorder act as an important modifiable risk factor for cardiovascular disease and has been shown to be an independent predictor for in-stent restenosis after percutaneous coronary intervention.Objectives: To determine the influence of HbA1c level on the frequency of in-stent restenosis in diabetic patients after elective percutaneous coronary intervention.Patients and Methods: 89 diabetic patients with recurrent ischemia had history of previous percutaneous coronary intervention and stented coronary arteries with drug eluting stent were admitted to the Iraqi Center for Heart Diseases for elective coronary catheterization with or without percutaneous coronary intervention in period between April 2013 and March 2014. All patients were evaluated thoroughly. 26 patients were excluded for different reasons. 63 patients were assessing for stent patency during catheterization. 29 patients with patent stents. 34 patients with in-stent restenosis were investigated with HbA1c level. Diabetes mellitus was defined as fasting blood sugar concentration â‰¥126 mg/dl, random blood sugar â‰¥200 mg/dl with suggestive symptoms or positive history of diabetes mellitus with diet control or use an oral hypoglycemic agent(s) or insulin at the time of admission. Patients with in-stent restenosis were categorized into two groups based on their HbA1c level, good glycemic control (HbA1c â‰¤ 7%) and poor glycemic control (HbA1c>7%). Results: Males represent 19 (55.9%) and females represent 15 (44.1%) of diabetic patients with in-stent restenosis. In table 2, 27 (79.45%) diabetic patients with poor glycemic control more likely to have in-stent restenosis than 7 (20.6%) patients with good glycemic control, P.value < 0.005. In table 4 in-stent restenosis more likely to occur in non-proximal left anterior descending artery after elective PCI in 20 out of 27 patients with poor glycemic control, P.value < 0.005. Conclusions: Our study reveals that there is a correlation between poor glycemic control and increased frequency of in-stent restenosis of drug eluting stents in diabetic patients. Poor glycemic controlled diabetic patients are more liable for in-stent restenosis of drug eluting stents after intervention in non-proximal left anterior descending artery.
Simulation on Automated Reconstruction of Urban 3D Object using Laser Range Finder (LRF) Data

In this paper, we described an approach for 3D object reconstruction using simulated laser range finder (LRF) data. For the purpose of automatic registration of multiple views of LRF data without apriori knowledge of the views, such as location and direction, planar faces are extracted from the LRF data, and by automatically identifying the corresponding pairs of planar faces, the spatial relationships (the rotation matrixes and the shift vectors) between the views are estimated. To extract planar faces reliably from erroneous LRF data, the MDL (minimum description length) principle is used. In registrating multiple views, two steps-local and global registration-are used to find transformations to avoid the accumulation of registration errors between all the views.
Provisional Outcomes of Affordable Custom Wheelchair Seating for an Individual with Cerebral Palsy: Case Report

The person with cerebral palsy has a range of functional limitations which can restrict activities of daily living. Sitting for extended periods is a pertinent issue to address. Custom seating orthosis combined with a wheelchair could reduce issues associated with long-term sitting in this population. The custom seating system for a child with cerebral palsy GMFCS Level IV was provided and outcome measures which measured functional grasping and seat pressure distribution was evaluated while the patient was seated in a traditional wheelchair as well as the custom seating wheelchair.Time to complete tasks while seated in the custom seating wheelchair was longer in duration than when seated in the traditional wheelchair, however, pressure was reduced in pressure prone areas and distributed more across pressure tolerant areas. The custom seating system provided to this patient evidences the utility and usefulness of a customized orthotic intervention for the wheelchair intervention. Additional accommodation to the custom seating could posit differences in outcomes as would an increase in study participants.
CMAC-based fault diagnosis of power transformers

Dissolved gas analysis (DGA) is one of most useful techniques to detect the incipient faults of power transformer. However, the identification of the faulted location by the traditional method is not always an easy task due to the variability of gas data and operational natures. In this paper, a novel CMAC-based method is proposed for the fault diagnosis of power transformers. By introducing the IEC std. 599 to generate the training data, and using the characteristic of self-learning and generalization, like the cerebellum of human being, a CMAC-based fault diagnosis scheme enables a powerful, straightforward, and efficient fault diagnosis. With application of this scheme to published transformers data, the diagnoses demonstrate the new scheme with high accuracy and high noise rejection abilities. Moreover, the results also proved the ability of multiple incipient faults detection.
Rate adaptation for video telephony in 3G networks

In this paper, we address challenges to packet switched video telephony (PSVT) in 3G wireless networks such as High Speed Packet Access (HSPA), and propose a technique which can improve PSVT service in 3G wireless networks. In HSPA, temporary decrease in available bandwidth can occur based on the user’s location in the cell and/or system loading conditions. This can result in significant increase in observed packet latency, potentially resulting in dropped packets at the receiver. To overcome this problem we describe a feedback based rate adaptation scheme. The proposed scheme is capable of adapting the video encoder bitrate to the varying channel bandwidth and hence minimize the packet latency. The novelty of our proposed approach is that the algorithm matches encoded source rate to varying channel conditions without making any piecewise constant bitrate (CBR) assumptions on the channel. In the proposed scheme the observed throughput is monitored on the uplink (i.e. from sending mobile to the network) and on the downlink (i.e. network to the receiving mobile). The desired target data rate is determined based on these observed throughput. Based on the source variability and the desired target data rate, the algorithm controls the encoding time and packet size (e.g. bytes) of video frames scheduled for transmission. We present simulation results of the proposed approach, based on approved specifications and common simulation conditions adopted in 3GPP and ITU. We show that the one-way delay can be significantly reduced by providing timely feedback of observed throughput from receiving mobile to the sending mobile. By using such a feedback message once every 200 ms, we show that 95 percentile of the packets were delivered with a one-way delay under 250 ms. We also show that our proposed algorithm is capable of graceful degradation based on available system resources and user’s location in the cell.
Stigma, inclusion and India’s Mental Healthcare Act 2017

Purpose India’s Mental Healthcare Act 2017 provides a right to mental healthcare, revises admission and review procedures, effectively decriminalises suicide and has strong non-discrimination measures, among other provisions. The purpose of this paper is to examine Indian mental health professionals’ views of these changes as they relate to stigma and inclusion of the mentally ill. Design/methodology/approach The authors held nine focus groups in three Indian states, involving 61 mental health professionals including 56 psychiatrists. Findings Several themes relating to stigma and inclusion emerged: stigma is ubiquitous and results in social exclusion; stigma might be increased rather than remedied by certain regulations in the 2017 Act; stigma is not adequately dealt with in the legislation; stigma might discourage people from making “advance directives”; and there is a crucial relationship between stigma and education. Practical implications Implementation of India’s 2017 Act needs to be accompanied by adequate service resourcing and extensive education, including public education. This has commenced but needs substantial resources in order to fulfil the Act’s potential. Social implications India’s mental health legislation governs the mental healthcare of 1.3bn people, one sixth of the planet’s population; seeking to use law to diminish stigma and enhance inclusion in such a large country sets a strong example for other nations. Originality/value This is the first study of stigma and inclusion since India’s 2017 Act was commenced and it highlights both the potential and the challenges of such ambitious rights-based legislation.
Recurrence Is a Noticeable Cause of Rifampicin-Resistant Mycobacterium tuberculosis in the Elderly Population in Jiangxi, China

Setting: Rifampicin-resistant tuberculosis (RR-TB) in elderly people in Jiangxi Province, China. Objective: To investigate the incidence of RR-TB and risk factors in elderly people within a hospital setting in China. Design: Retrospective cohort study. Methods: A comparative study was performed to analyze RR-TB and rifampicin-susceptible TB (RS-TB). The 15-locus mycobacterial interspersed repetitive unit-variable number of tandem repeats (MIRU-VNTR) method was used to distinguish between relapse and reinfection. Results: Twenty-three recurrent cases occurred in 151 elderly patients with RR-TB, and 24 recurrent cases occurred in 466 elderly patients with RS-TB during this period. TB recurrence was significantly different in the RR-TB and RS-TB groups (OR = 0.35, 95% CI: 0.14–0.88; χ2 = 5.28, P = 0.03). Comparing the risk factors for RR-TB and RS-TB, we found that educational level, age, and pulmonary cavity were inextricably linked to RR-TB in elderly patients. Furthermore, pulmonary cavity, HIV status, and alcohol consumption were associated with recurrence in elderly RR-TB patients. Conclusions: Recurrence is an important source of RR-TB in the elderly population. It is necessary to promptly treat tuberculosis patients, prevent the spread of AIDS, and reduce alcohol intake to control recurrent RR-TB in the elderly population.
The Q-Block Method of Indexing Q Typologies

William Stephenson's Q methodology has a marked advantage of bringing both system and depth into communication studies. Some communication researchers have been dismayed by its use with relatively small numbers of people, in some cases with only one person. This has raised the question of how the system and enrichment of Q can be combined with the precision of properly applied sample survey research methodology. Stephenson devoted a chapter in his book The Study of Behavior to such considerations. Direct applications of Stephenson's Q techniques may not be economically feasible for large sample survey research due to their complexity and time needed for administration and analysis. However, Stephenson suggests "that certain kinds of facts which questionnaires may seek to study can be reached along Q technique lines. " He outlines one method. This paper presents an elaboration in detail of such a method. Specifically, the paper examines and presents a questionnaire technique which has utility in assigning people to Q typologies. It is a technique which can be readily applied in large sample survey research. The method involves the construction of "Q blocks," which are comparable in one sense to a series of small individual Q sorts. Detailed knowledge of a stable Q typology factor structure is necessary for construction of these Q blocks. This knowledge can be derived from direct application of Q techniques to a smaller, usually structured sample from the population in which the researcher is interested.
A QoS-aware Model for Cloud Storage Environment

Nowadays, the administration of resources and application scheduling in a large-scale cloud storage environment is a formidable task, especially in dynamic changing scenario both in storage providers and consumers requirement sides. In order to meet the challenge of dynamic change characteristic in cloud storage application, this paper presents a new QoS-aware approach to match individual applications to most appropriate cloud storage nodes based on their particular attribute matrix, such as capacity, response time, I/O throughput, availability and user requirements etc. The experimental results illustrate that our QoS-aware method can achieve better performance than existing random scheduling algorithm in terms of load balance, response time and I/O throughput.
An application of neural networks in adaptive information retrieval

It is shown how a neural network can be used in the design of an adaptive information retrieval system. A two-layer neural network is used to implement a linear retrieval system, and a three-layer neutral network is used to implement a bilinear retrieval system. The results of this preliminary investigation strongly suggest that neural networks are useful tools for developing adaptive information retrieval systems. <<ETX>>
Modeling of L2 Cache Behavior for Thread-Parallel Scientific Programs on Chip Multi-Processors ∗

It is critical to provide high performance for scientific programs running on a Chip MultiProcessor (CMP). A CMP architecture often has a shared L2 cache and lower storage hierarchy. The shared L2 cache can reduce the number of cache misses if the data are commonly shared by several threads, but it can also lead to performance degradation due to resource contention. Sometimes running threads on all cores can cause severe contention and increase the number of cache misses greatly. To investigate how a thread’s performance varies when it runs together with other threads on different cores, we develop an analytical model to predict the number of misses on the shared L2 cache, especially for thread-parallel numerical codes. We assume that the parallel threads work on homogeneous tasks and share a fully associative L2 cache. Stack processing technique and circular sequences are used to analyze the L2 trace to predict the number of compulsory misses, capacity misses on shared data, and capacity misses on private data, respectively. It is the first work to predict the number of L2 misses for threads that
Comparison of the muscle pattern variability during treadmill walking (fixed and self-pace) and overground walking of able-bodied adults

Study purpose: The purpose of the study was to understand whether treadmill walking (fixed and self-paced) exhibits sufficiently similar motor patterns to overground walking to justify its use as a rehabilitation modality in the recovery of normal walking function. The study compared the activity patterns of five lower-limb muscle groups (Hamstrings, Quadriceps, Tibialis Anterior, Gastrocnemius and Soleus) while walking on a Traditional Treadmill (FPT), a Self-Paced Treadmill (SPT) and during Overground Walking (OG). The Variance Ratio (VR), which quantifies cycle-to-cycle repeatability, was used as the primary comparator with a higher VR indicating greater variability across cycles. Eleven able-bodied adults participated (mean age 27.8 years, weight 72.3 kg, 5 female). Major findings: The VR observed during FPT walking (0.22) was higher than both the SPT (0.18) and OG (0.20) walking but these differences were not statistically significant (F=1.23, P=0.3). Interpretation: Counter intuitively, FPT walking created a more variable pattern of muscle activity than SPT, possibly by constraining the natural tendency to vary speed. The similarity between SPT and OG suggests this form of treadmill walking may have better training specificity than FPT walking for functional gait recovery. This possibility should be tested in future statistically powered trials including clinical populations. Conclusion: Differences in muscle activity variability, while not statistically significant, suggests that SPT walking may offer a more specific training experience than fixed pace for gait rehabilitation.
Impact of Frame Loss Aspects of Mobile Phone Networks on Forensic Voice Comparison

The analysis of mobile phone speech recordings can play an important role in criminal trials. However it may be erroneously assumed that all mobile phone technologies, such as the Global System for Mobile Communications (GSM) and Code Division Multiple Access (CDMA), are similar in their potential impact on the speech signal. In fact these technologies differ significantly in their design and internal operation. This study investigates the impact of an important aspect of these networks, namely Frame Loss (FL), on the results of a forensic voice comparison undertaken using a Bayesian likelihood ratio framework. For both networks, whenever a frame is lost or irrecoverably corrupted, it is synthetically replaced at the receiving end using a history of past good speech frames. Sophisticated mechanisms have been put in place to minimize any resulting artefacts in the recovered speech. In terms of accuracy, FL with GSMcoded speech is shown to worsen same-speaker comparisons, but improve different-speaker comparisons. In terms of precision, FL negatively impacts both sets of comparisons. With CDMA-coded speech, FL is shown to negatively impact the accuracy of both same- and different-speaker comparisons. However, surprisingly, FL is shown to improve the precision of both sets.
Speech coding using nonstationary sinusoidal modelling and narrow-band basis functions

The authors present simulation results for several variants of speech modeling using sinusoids for voiced sounds and a representation by sinusoids or narrowband basis functions (NBBFs) for unvoiced regions. In most of the experiments the frequency range up to 4 kHz has been subdivided into 17 frequency groups (critical bands) equispaced according to a Bark scale. The goal of the simulations was to obtain some conclusions about suitable parameters extracted from the short-time spectrum of the input signal and their transmission for a speech coder working at medium-to-low bit rates. Best results were obtained from a relatively simple scheme using harmonically related sinusoids for voiced frames and straightforward NBBF modeling for unvoiced frames. No phase parameters were needed for synthesis. A novel pragmatic amplitude-correction approach called peak assignment yielded a clear quality improvement. <<ETX>>
Constraint logic programming and scheduling problems

Classical approaches for the resolution of combinatorial problems are of two kinds: exact methods or approximate ones. Scheduling problems enter in this framework. Up to now, operational research tools were proposed to consider such problems. Recently, new resolution methods were developed. This is the case for the family of stochastic methods or genetic algorithms. But, real life problem that come from the industrial environment require more flexible tools. This is the purpose of constraint logic programming approach. It allows one to ally versatility and efficiency. We will show in this paper, why this new generation of tools seems to be interesting for solving scheduling problems.
Value as a Determiner of Subjective Probability

This study explored the manner in which the desirability of an event influences its judged probability. Ss gave probability estimates for each of 5 events, only one of which could occur. Monetary payoffs, ranging from lose $5 to win $5, were contingent upon which event did occur. Desirability was found to bias probability estimates in a complex manner which varied systematically between Ss and between estimation trials. In general, it made estimates less reasonable. Rewards for accuracy did not reduce value biases. Instead, they encouraged ``risk-reducing pessimism. '' Individual differences were an important source of variance. Some Ss were consistently optimistic. Others were quite pessimistic.
Robust Security System for Critical Computers

Among the various means of available resource protection including biometrics, password based system is most simple, user friendly, cost effective and commonly used, but this system having high sensitivity with attacks. Most of the advanced methods for authentication based on password encrypt the contents of password before storing or transmitting in physical domain. But all conventional cryptographic based encryption methods are having its own limitations, generally either in terms of complexity, efficiency or in terms of security. In this paper a simple method is developed that provide more secure and efficient means of authentication, at the same time simple in design for critical systems. Apart from protection, a step toward perfect security has taken by adding the feature of intruder detection along with the protection system. This is possible by merging various security systems with each other i.e password based security with keystroke dynamic, thumb impression with retina scan associated with the users. This new method is centrally based on user behavior and users related security system, which provides the robust security to the critical systems with intruder detection facilities.
SP0098 CRYSTAL ARTHROPATHIES: IS THERE A ROLE FOR MRI?

The plain radiographic features of gout are well known. However, the sensitivity of plain radiographs alone for the detection of signs of gout is poor in acute disease. Dual-energy computed tomography (DECT) and ultrasonography fill the gap for early and specific detection. However, there are instances in which MRI of the painful joints was already acquired. Therefore, it is crucial to know the imaging findings of gout in MRI. MRI per se is not suitable for imaging the calcified bone or soft tissue calcifications. However, there are special techniques such as gradient echo sequences or susceptibility-weighted imaging (SWI) to visualize calcifications. Furthermore, the inflamed joint with all its characteristics such as synovitis, tenosynovitis, and erosions is easily accessible by MRI. Specific findings in the differentiation of RA, PsA, and gout are presented. The presentation will be case-based, and participants will have the opportunity to test their knowledge. Disclosure of Interests: Kay-Geert Hermann Paid instructor for: MSD, AbbVie, Novartis, but less than 10.000€