Miracle-dz/UniFAR-FTUs huggingface dataset:
Treatment of Neck Pain: Noninvasive Interventions: Results of the Bone and Joint Decade 2000–2010 Task Force on Neck Pain and Its Associated Disorders

Study Design. Best evidence synthesis. Objective. To identify, critically appraise, and synthesize literature from 1980 through 2006 on noninvasive interventions for neck pain and its associated disorders. Summary of Background Data. No comprehensive systematic literature reviews have been published on interventions for neck pain and its associated disorders in the past decade. Methods. We systematically searched Medline and screened for relevance literature published from 1980 through 2006 on the use, effectiveness, and safety of noninvasive interventions for neck pain and associated disorders. Consensus decisions were made about the scientific merit of each article; those judged to have adequate internal validity were included in our best evidence synthesis. Results. Of the 359 invasive and noninvasive intervention articles deemed relevant, 170 (47%) were accepted as scientifically admissible, and 139 of these related to noninvasive interventions (including health care utilization, costs, and safety). For whiplash-associated disorders, there is evidence that educational videos, mobilization, and exercises appear more beneficial than usual care or physical modalities. For other neck pain, the evidence suggests that manual and supervised exercise interventions, low-level laser therapy, and perhaps acupuncture are more effective than no treatment, sham, or alternative interventions; however, none of the active treatments was clearly superior to any other in either the short- or long-term. For both whiplash-associated disorders and other neck pain without radicular symptoms, interventions that focused on regaining function as soon as possible are relatively more effective than interventions that do not have such a focus. Conclusion. Our best evidence synthesis suggests that therapies involving manual therapy and exercise are more effective than alternative strategies for patients with neck pain; this was also true of therapies which include educational interventions addressing self-efficacy. Future efforts should focus on the study of noninvasive interventions for patients with radicular symptoms and on the design and evaluation of neck pain prevention strategies.
A Cloud-Connected Autonomous Driving System

Current autonomous driving systems are designed in terms of ego-vehicle, specifically a self-driving vehicle locates itself, perceives the environment, plans plausible paths, and executes actions to safely reach a given goal location all by itself. The systems are complex, expensive, power-consuming and moreover information isolated. In this paper, we propose a Cloud-Connected Autonomous Driving System (CCADS) in terms of traffic network. Self-driving vehicles share data with all other running self-driving cars via the traffic network cloud, and traffic network plays a central role in the CCADS. It analyzes traffic data and manages all the self-driving vehicles to achieve high efficiency and safety traffic environment. The self-driving vehicles are remaining locally autonomous but globally controlled. The proposed CCADS consists of two parts: cloud side and vehicle side. Cloud side keeps collecting and monitoring real-time vehicles and traffic infrastructure data, and the traffic scheduling module dynamically plans safe trajectory task for many vehicles at the same time given traffic status. Vehicle side sends position, velocity and other valuable data to cloudside and executes trajectory task to get to goal location. The proposed autonomous driving system considers network delay, fault tolerance, and network security. We implement the system in a park scene, and verify its system functionality, fault tolerance, and traffic schedule. Experiments show that our system could work robustly and safely.
Data clustering using stochastic block models

It has been shown that community detection algorithms work better for clustering tasks than other, more popular methods, such as k-means. In fact, network analysis based methods often outperform more widely used methods and do not suffer from some of the drawbacks we notice elsewhere e.g. the number of clusters k usually has to be known in advance. However, stochastic block models which are known to perform well for community detection, have not yet been tested for this task. We discuss why these models cannot be directly applied to this problem and test the performance of a generalization of stochastic block models which work on weighted graphs and compare them to other clustering techniques.
A modified Dubins method for optimal path planning of a Miniature Air Vehicle converging to a straight line path

This paper presents a Dubins model based strategy to determine the optimal path of a Miniature Air Vehicle (MAV), constrained by a bounded turning rate, that would enable it to fly along a given straight line, starting from an arbitrary initial position and orientation. The method is then extended to meet the same objective in the presence of wind which has a magnitude comparable to the speed of the MAV. We use a modification of the Dubins' path method to obtain the complete optimal solution to this problem in all its generality.
Wavelet-based image denoising using a Markov random field a priori model

This paper describes a new method for the suppression of noise in images via the wavelet transform. The method relies on two measures. The first is a classic measure of smoothness of the image and is based on an approximation of the local Holder exponent via the wavelet coefficients. The second, novel measure takes into account geometrical constraints, which are generally valid for natural images. The smoothness measure and the constraints are combined in a Bayesian probabilistic formulation, and are implemented as a Markov random field (MRF) image model. The manipulation of the wavelet coefficients is consequently based on the obtained probabilities. A comparison of quantitative and qualitative results for test images demonstrates the improved noise suppression performance with respect to previous wavelet-based image denoising methods.
DETECTION OF ACCRETION X-RAYS FROM QS Vir: CATACLYSMIC OR A LOT OF HOT AIR?

An XMM-Newton observation of the nearby “pre-cataclysmic” short-period (Porb = 3.62 hr) binary QS Vir (EC 13471-1258) revealed regular narrow X-ray eclipses when the white dwarf passed behind its M2–4 dwarf companion. The X-ray emission provides a clear signature of mass transfer and accretion onto the white dwarf. The low-resolution XMM-Newton EPIC spectra are consistent with a cooling flow model and indicate an accretion rate of yr−1. At 48 pc distant, QS Vir is then the second nearest accreting cataclysmic variable known, with one of the lowest accretion rates found to date for a non-magnetic system. To feed this accretion through a wind would require a wind mass-loss rate of yr−1 if the accretion efficiency is of the order of 10%. Consideration of likely mass-loss rates for M dwarfs suggests this is improbably high and pure wind accretion unlikely. A lack of accretion disk signatures also presents some difficulties for direct Roche lobe overflow. We speculate that QS Vir is on the verge of Roche lobe overflow, and that the observed mass transfer could be supplemented by upward chromospheric flows on the M dwarf, analogous to spicules and mottles on the Sun, that escape the Roche surface to be subsequently swept up into the white dwarf Roche lobe. If so, QS Vir would be in a rare evolutionary phase lasting only a million years. The X-ray luminosity of the M dwarf estimated during primary eclipse is LX = 3 × 1028 erg s−1, which is consistent with that of rapidly rotating “saturated” K and M dwarfs.
Placental Score and Neonatal Outcome: A Clinical and Pathologic Study

Placentas from 60 infants were studied fresh by phase contrast microscopy and by conventional histologic methods and the findings correlated to the fetal outcome. Placental diagnosis by conventional methods did not correlate with the course of pregnancy, fetal outcome, Apgar score at birth or infant's weight. A scoring system for pathologic findings of the syncytium, stroma and capillary structures, as seen by phase contrast microscopy, was devised and correlated to fetal outcome. A combined pathology of high score was the outstanding finding in fetal morbidity and mortality while low-grade single abnormalities did not appear to be critical. Hypoplasia of the syncytium was a predominant finding in fetal death but was never present when the neonatal course was normal. Ischemia of the terminal villi was associated, in a significant number of cases, with respiratory distress syndrome (RDS) of the newborn. Edema, as a sole finding of low score was quite common in infants whose neonatal course was normal. The question is raised as to whether this is an early sign of intrauterine fetal distress even in the absence of overt clinical manifestations. Since 100% of infants with a placental score of 0 had a normal uncomplicated neonatal course while 50% of those with a placental score of 5 or more died and 36% had RDS, it is suggested that the placental score, as described in this study, may prove to be a valuable prognostic tool in evaluating the newborn's adaptation to extrauterine life.
Scheduling sequential or parallel hard real-time pre-emptive tasks upon identical multiprocessor platforms. (Ordonnancement de tâches temps réel dures préemptives séquentielles ou parallèles sur plateformes multiprocesseur identique)

The scheduling of tasks on a hard real-time system consists in finding a way to choose, at each time instant, which task should be executed on the processor so that each succeed to complete its work before its deadline. In the uniprocessor case, this problem is already well studied and enables us to do practical applications on real systems (aerospace, stock exchange etc.). Today, multiprocessor platforms are widespread and led to many issues such as the effective use of all processors. In this thesis, we explore the existing approaches to solve this problem. We first study the partitioning approach that reduces this problem to several uniprocessor systems and leverage existing research. For this one, we propose a generic partitioning algorithm whose parameters can be adapted according to different goals. We then study the semi-partitioning approach that allows migrations for a limited number of tasks. We propose a solution with restricted migration that could be implemented rather simply on real systems. We then propose a solution with unrestricted migration which provides better results but is more difficult to implement. Finally, programmers use more and more the concept of parallel tasks that can use multiple processors simultaneously. These tasks are still little studied and we propose a new model to represent them. We study the possible schedulers and define a way to ensure the schedulability of such tasks for two of them
The Energy Source for Bioluminescence in an Isolated System.

I and II where k $ Oor n $ 2 are the similitudes. For by (17), Y' = i renders H infinite. Then by the last of equations (13), the pre-images of the minimal lines Y' = =i must make H infinite. But we know by (17) that y' = i are infinite roots of H. Thus the minimal lines y' must be converted into the minimal lines Y' = =i by the collineation (2) (unless the field of force has constant slope =4:i which possibility is excluded from consideration). Therefore any such collineation is necessarily a similitude. As it is evident that similitudes do preserve the systems'Sk, it follows that the proof of the Theorem of Section 5 is complete.
Beyond Books: The Extended Academic Benefits of Library Use for First-Year College Students

The purpose of this paper was to investigate whether there are relationships between first-year college students’ use of academic libraries and four academic outcomes: academic engagement, engagement in scholarly activities, academic skills development, and grade point average. The results of regression analyses suggest students’ use of books (collection loans, e-books, and interlibrary loans) and web-based services (database, journal, and library website logins) had the most positive and significant relationships with academic outcomes. Students’ use of reference services was positively associated with their academic engagement and academic skills, while enrollment in library courses was positively associated with grade point averages.
RETRIEVAL BASED ON COMPRESSED CAMERA SENSOR FINGERPRINTS

Image retrieval is the process of finding images from a large collection, satisfying a user-specified criterion. Contentbased retrieval has been the traditional paradigm, in which one wishes to find images whose content is similar to a query. In this paper we explore a novel criterion for image search, based on forensic principles. We address the problem of retrieving all the photos in a collection that have been acquired by a specific device which is presented to the system as a query. This is an important forensic problem, whose solution could be very useful for detecting improper usage of pictures. We do not rely on metadata such as Exif headers because they can be unavailable, or easily manipulated, and in most cases cannot identify the specific device. We rely instead on a forensic tool called Photo Response NonUniformity (PRNU), which constitutes a reliable fingerprint of a camera sensor. We examine recent advances in compression of such fingerprints, which allow to address the previously unexplored image retrieval problem on large scales.
A Novel and Advanced Data Mining Model based Hybrid Intrusion Detection Framework

An Intrusion can be defined as any practice or act that attempt to crack the integrity, confidentiality or availability of a resource. This may contain of a deliberate unauthorized attempt to access the information, manipulate the data, or make a system unreliable or unusable. With the expansion of computer networks at an alarming rate during the past decade, security has become one of the serious issues of computer systems. IDS, is a detection mechanism for detecting the intrusive activities hidden among the normal activities. The revolutionary establishment of IDS has attracted analysts to work dedicatedly enabling the system to deal with technological advancements. Hence, in this regard, various beneficial schemes and models have been proposed in order to achieve enhanced IDS. This paper proposes a novel hybrid model for intrusion detection. The proposed framework in this paper may be expected as another step towards advancement of IDS. The framework utilizes the crucial data mining classification algorithms beneficial for intrusion detection. The Hybrid framework would henceforth, will lead to effective, adaptive and intelligent intrusion detection. DOI: http://dx.doi. org/10.11591/telkomnika.v13i2. 7045
An 8 W GaAs Class-AB amplifier for operation in envelope tracking systems

In this paper an 8 W GaAs HEMT power amplifier for operation in envelope tracking systems is presented. The application targeted is UMTS downlink operation with a peak-to-average ratio of about 7 dB. By varying the drain bias voltage between 5 V and 12 V the compression point can be shifted in the required area. Power-added efficiency is more than 45 % in this area and above 52 % in the area of average output power of a UMTS signal. Gain can be kept above 14 dB in this operation mode with a variation of 3 dB.
A palatable diet for producing experimental folate deficiency in man.

F OR many years, it has been believed that folate deficiency on a nutritional basis could not be produced in man because of folate synthesis by the bacterial flora of the intestine. ’ Indeed, no hematologic abnormalities were noted in human volunteer subjects after subsisting on a synthetic diet2 of vitamin free casein, Crisco,#{174} dextrimaltose, a mineral mixture, cod liver oil concentrate and a supplementary vitamm mixture containing no folic acid for eighteen months. This diet contained 14 to 17 g. of folate activity per day as measured by S. lactis R. ’ Iii 1961 an abstract3 appeared which stated: “A study has been made of four patients fed on an artificial liquid diett which appears to provide a complete replacement of all known dietary requirements except folic acid. Estimation has shown that its folic acid content is less than 0.5 sg. /kg. (Fleming, A., personal communication). On such a diet, individuals showed an abnormal excretion of FIG1u after 4-5 weeks. A further patient fed on the same diet with the addition of foods containing 2-5
A comparison between capsule endoscopy and double balloon enteroscopy using propensity score-matching analysis in patients with previous obscure gastrointestinal bleeding

Abstract Background: Recently, diagnosis of obscure gastrointestinal bleeding (OGIB) has improved greatly due to introduction of capsule endoscopy (CE) and double balloon enteroscopy (DBE). However, the efficacy of CE over DBE in patients with previous OGIB remains unclear. This study aimed to compare, in terms of diagnostic yield, the efficacy of DBE with that of CE in patients with previous OGIB. Patients and methods: We enrolled 223 consecutive patients with previous OGIB who were treated between May 2007 and March 2012. We retrospectively evaluated the respective diagnostic yields of CE and DBE in patients with previous OGIB using propensity score-matching analysis. We compared the diagnostic yield of CE with that of DBE. Results: The diagnostic yields were 41.9% in DBE group and 11.6% in CE group, respectively (p < .01). On logistic regression analysis, DBE was significantly superior to CE after matching (Odds ratio [OR], 4.25; 95% confidence interval [CI], 1.43–12.6; p < .01), even after adjustment for propensity score (OR, 5.65; 95% CI, 1.56? 20.5; p < .01). Conclusions: Our results indicate that DBE might be more useful and perhaps safer than CE in achieving a positive diagnosis in patients with previous OGIB.
Effect of TRH and TSH on Circulatory Glucose and Fatty Acids Responses in Hypoinsulenemic Male Dwarf Goats

Diabetes mellitus or hypoinsulinemia was induced successfully in the male dwarf goats aged be-tween 2 - 3 years with 2 consecutive administrations of streptozotocin. A comparable group of intact control goats was also maintained. In ruminants including goats unlike non-ruminants, insulin generally displays ineffectiveness or resistance in their biochemical setup to facilitate gluco-neogenesis, the only source of glucose in these animals. In present study almost in the absence of insulin through induced hypoinsulinemia the effects of thyrotropin releasing hormone (TRH) (30 μg/kg body weight) and thyroid stimulating hormone (TSH) (2.5 μg/kg body weight) on circulatory glucose and different fatty acid fractions were studied in insulin resistant ruminant model. Fatty acid fractions were estimated by gas chromatography. Both TRH and TSH administration lowered glycemia in insulin deficient goats compared to the controls but significantly with TSH dose only. In intact goats the detectable circulating long chain fatty acids (LCFAs) fractions of lauric, myristic, palmitic, stearic, oleic and linoleic acid were undetected except linoleic acid in the hypoinsulinemic state, however were found restored following TRH and TSH administrations and some of LCFAs; stearic (6417%), oleic (1676%) and linoleic acid (1225%) increased exceptionally with TSH dose. In Intact goats however the hormones variedly increased the fractions. The volatile fatty acid fractions (VFAs) of formic, acetic, propionic, iso-butyric, n-butyric, iso-valeric, n-valeric, iso-caproic, n-caproic and heptanoic acid were detected in the goats. The most VFAs fractions markedly increased in hypoinsulinemic goats compared to the control goats following TRH and TSH infusion. These results have indicated that endogenously stimulated thyroid hormones with TRH and TSH in insulin deficient state inhibit the mechanisms of utilizing the fatty acids in glucose production. Therefore the study reveals thyroid hormones inhibitory effects on gluconeogenesis in insulin resistance and hyperglycemia.
Considerations in developing a scalable wind power forecasting solution

This paper addresses the wind power forecasting problem from the standpoint of performance and solution requirements. These requirements stem from the need to trade wind power on real-time energy markets, the need for reliable and accurate forecasts, the ability to learn from new data as it becomes available, the ability of the solution to generalise and scale to a large number of wind farms, and the need to compute the solutions in real time. An analogs-based solution methodology is implemented and demonstrated to show potential in fulfilling the solution requirements. Analogs-based modelling represent a non-parametric modelling solution which exploit similarities in historical data with the current forecasting window. The methodology is applied to both local wind speed forecast correction and, subsequently, to wind farm power forecasting. Results for two wind farms in Europe are presented, confirming analogs as a viable and attractive solution methodology.
Low Power Testing Techniques for Ultra Power Based SoC System

To find the proper solutions for test power reduction strategy for parallel core-based SoC, in this paper, starting from the terminology and models for power consumption during test, The efforts to reduce the power consumption during normal function mode further exaggerated the power consumption problem during test. The state of the art in low-power testing is presented, various power reduction techniques proposed for all aspects of testing like external testing, Built-In Self-Test techniques, and the advances in LFSR techniques emphasizing low power. Further, all the available low-power testing techniques are strongly analyzed. To reduce the cost and time to market, the modular design approach is largely adopted for system-on-chip. Keywords-SoC System, low power, ultra power
Potentiation of Ca2+ signaling in endothelial cells by 11,12-epoxyeicosatrienoic acid.

Incubation of endothelium with an increased epoxyeicosatrienoic acid (EET) concentration specifically augments the endothelium-dependent relaxation ascribed to endothelium-derived hyperpolarizing factor in porcine coronary arteries (Weintraub et al., Circ Res 1997;81:258-267). Experiments were designed to test whether such sustained increased levels of EETs in the environment of endothelial cells alters Ca2+ signaling. Changes in cytosolic Ca2+ were monitored in cultured porcine aortic endothelial cells (PAECs) and in the human endothelial EA.hy926 cell line after incubation (or not) with 5 microM 11,12-epoxyeicosatrienoic acid (EET). Although the mobilization of intracellular Ca2+ induced by 2 microM thapsigargin was not affected significantly, EET treatment augmented the capacitative Ca2+ entry evoked by the Ca(2+)-ATPase) inhibitor in both cell types. Similar observations were obtained by using histamine as a stimulant in EA.hy926 cells. As assessed in PAECs, 2 micrograms/ml triacsin C, a known inhibitor of the incorporation of EETs into phospholipids, did not significantly affect the potentiating action of EETs on Ca2+ signaling in response to thapsigargin. However, in solvent-control cells, triacsin C significantly reduced both the mobilization of Ca2+ from intracellular stores and the capacitative Ca2+ entry provoked by thapsigargin. Thus the EET-potentiating effect overcomes the inhibitory action of triacsin C on Ca2+ signaling in endothelial cells. Taken together, these results demonstrate that sustained increases in EETs may amplify Ca2+ signaling. However, contrary to the EET-induced augmentation of endothelium-dependent relaxation in the porcine coronary artery, resistance of this novel action of EETs to triacsin C suggests that the mechanism involved does not depend on incorporation into phospholipids.