Miracle-dz/UniFAR-FTUs huggingface dataset:
Transition from acute to chronic postsurgical pain: risk factors and protective factors

Most patients who undergo surgery recover uneventfully and resume their normal daily activities within weeks. Nevertheless, chronic postsurgical pain develops in an alarming proportion of patients. The prevailing approach of focusing on established chronic pain implicitly assumes that information generated during the acute injury phase is not important to the subsequent development of chronic pain. However, a rarely appreciated fact is that every chronic pain was once acute. Here, we argue that a focus on the transition from acute to chronic pain may reveal important cues that will help us to predict who will go on to develop chronic pain and who will not. Unlike other injuries, surgery presents a unique set of circumstances in which the precise timing of the physical insult and ensuing pain are known in advance. This provides an opportunity, before surgery, to identify the risk factors and protective factors that predict the course of recovery. In this paper, the epidemiology of chronic postsurgical pain is reviewed. The surgical, psychosocial, socio–environmental and patient-related factors that appear to confer a greater risk of developing chronic postsurgical pain are described. The genetics of chronic postsurgical pain are discussed with emphasis on known polymorphisms in human genes associated with chronic pain, genetic studies of rodent models of pain involving surgical approaches, the importance of developing accurate human chronic postsurgical pain phenotypes and the expected gains for chronic postsurgical pain medicine in the post-genomic era. Evidence is then reviewed for a preventive multimodal analgesic approach to surgery. While there is some evidence that chronic postsurgical pain can be minimized or prevented by an analgesic approach involving aggressive perioperative multimodal treatment, other studies fail to show this benefit. The transition of acute postoperative pain to chronic postsurgical pain is a complex and poorly understood developmental process, involving biological, psychological and social–environmental factors.
Anti-de Sitter-type 2+1 spacetime of a charged rotating mass

The exact charged rotating solution of 2+1 Einstein-Maxwell equations with $\Lambda$ term is obtained and its properties outlined. It generalizes the Cataldo-Cruz-del Campo-Garc{\'\i}a relativistic charged massive black hole on the 2+1 anti-de Sitter cosmological background. We show that rotating solutions correspond to inhomogeneous field equations, thus presence of sources in 2+1 Maxwell's equations cannot be identified with existence of a charge distribution. Instead, these sources are related to the 2+1 Machian 2-form field, and the overall Lagrangian structure of the rotating system is reconstructed.
Facial appearance is a cue to oestrogen levels in women

Although many accounts of facial attractiveness propose that femininity in women's faces indicates high levels of oestrogen, there is little empirical evidence in support of this assumption. Here, we used assays for urinary metabolites of oestrogen (oestrone-3-glucuronide, E1G) and progesterone (pregnanediol-3-glucuronide, P3G) to investigate the relationship between circulating gonadal hormones and ratings of the femininity, attractiveness and apparent health of women's faces. Positive correlations were observed between late follicular oestrogen and ratings of femininity, attractiveness and health. Positive correlations of luteal progesterone and health and attractiveness ratings were marginally significant. Ratings of facial attributions did not relate to hormone levels for women wearing make-up when photographed. There was no effect of sex of rater on the relationships between oestrogen and ratings of facial appearance. These findings demonstrate that female facial appearance holds detectable cues to reproductive health that are considered attractive by other people.
The Geography of Online Dating Fraud

This paper presents an analysis of online dating fraud’s geography. Working with real romance scammer dating profiles collected from both proxied and direct connections, we analyse geographic patterns in the targeting and distinct characteristics of dating fraud from different countries, revealing several strong markers indicative of particular national origins having distinctive approaches to romance scamming. We augment IP geolocation information with other evidence about the dating profiles. By analysing the resource overlap between scam profiles, we discover that up to 11% of profiles created from proxied connections could be assigned a different national origin on the basis of text or images shared with profiles from direct connections. Our methods allow for improved understanding of the origins of dating fraud, beyond only direct geolocation of IP addresses, with patterns and resource sharing revealing approximate location information which could be used to target prevention campaigns.
An Influence Diagrams Structure Learning Method Based on Genetic Algorithm

Influence diagrams have been widely applied to decision analysis and uncertain inference in many domains. Learning IDs aided by computer is an active research area. An ID structure learning algorithm is presented in this paper by comparing genetic algorithm. Experimental results show that this algorithm is more automatic and works exactly as well as the result of experts.
The impact of autonomic dysfunction on peri‐operative cardiovascular complications

Cardiovascular autonomic neuropathy is frequently observed in patients with diabetes mellitus. As anaesthesia has a marked effect on peri‐operative autonomic function, the interplay between diabetic neuropathy and anaesthesia may result in unexpected haemodynamic instability during surgery. The objective of this literature review was to examine the association of cardiovascular autonomic neuropathy with peri‐operative cardiovascular complications. We searched PubMed for articles with search elements of autonomic dysfunction [MeSH] AND anaesthesia [MeSH] AND complications [MeSH]. Depending on the type of anaesthesia, the presence of cardiovascular autonomic neuropathy in surgical patients can markedly affect peri‐operative haemodynamics and postoperative recovery. Pre‐operative testing of the extent of autonomic dysfunction in particular populations, like diabetics, may contribute to a reduction in haemodynamic instability and cardiovascular complications. Non‐invasive diagnostic methods assessing autonomic function may be an important tool during pre‐operative risk assessment.
1RXS J062518.2+733433: A new intermediate polar

We report the identification of the cataclysmic variable 1RXS J062518.2+733433 as an intermediate polar. The orbital period of the system is determined to be $283.0\pm0.2$ min from the radial velocity variation of ${\mathrm H\alpha}$, measured in an extensive set of time-resolved spectra. Differential optical photometry obtained over a base line of three weeks reveals the presence of coherent variability with a period of $19.788\pm0.002$ min, which we suggest to be the white dwarf spin period. The power spectrum of our photometry also contains a strong signal near the spectroscopically-determined orbital period. The emission lines in 1RXS J062518.2+733433 display a complex multicomponent structure. In the trailed spectrogram of He I λ 6678 we detect a narrow component with a radial velocity semi-amplitude of $\simeq$140 kms, consistent with a possible origin on the irradiated face of the secondary. The absence of eclipses gives an upper limit on the binary inclination of $i\la60^\circ$.
Cyclo-, Magneto-, and Bio-Stratigraphic Constraints on the Duration of the CAMP Event and its Relationship to the Triassic-Jurassic Boundary

Early Mesozoic tholeiitic flood basalts of the Central Atlantic Magmatic Province (CAMP) are interbedded throughout much of their extent with cyclical lacustrine strata, allowing Milankovitch calibration of the duration of the extrusive episode. This cyclostratigraphy extends from the Newark basin of the northeastern US, where it was first worked out, to Nova Scotia and Morocco and constrains the outcropping extrusive event to less than 600 ky in duration, beginning roughly 20 ky after the Triassic-Jurassic boundary, and to within one pollen and spore zone and one vertebrate biochron. Based principally on the well-known Newark astronomically calibrated magnetic polarity time scale with new additions from the Hartford basin, the rather large scatter in recent radiometric dates from across CAMP (>10 m.y. ), centering on about ∼200 m.y. , is not likely to be real. Rather, the existing paleomagnetic data from both intrusive and extrusive rocks suggest emplacement of nearly all the CAMP within less than 3 m.y. of nearly entirely normal polarity. The very few examples of reversed magnetizations suggest that some CAMP activity probably occurred just prior to the Triassic-Jurassic boundary. Published paleomagnetic and 40 Ar/ 39 Ar data from the Clubhouse Crossroads Basalt are reviewed and with new paleomagnetic data suggest that alteration and possible core misorientation could be responsible for the apparent differences with the CAMP. The Clubhouse Crossroads Basalt at the base of the Coastal Plain of South Carolina and Georgia provides a link to the volumetrically massive volcanic wedge of seaward dipping reflectors present in the subsurface off the southeastern US that may be part of the same igneous event, suggesting that the CAMP marks the formation of the oldest Atlantic oceanic crust.
Rj (rj) genes involved in nitrogen-fixing root nodule formation in soybean

It has long been known that formation of symbiotic root nodules in soybean (Glycine max (L.) Merr. ) is controlled by several host genes referred to as Rj (rj) genes, but molecular cloning of these genes has been hampered by soybean’s complicated genome structure and large genome size. Progress in molecular identification of legume genes involved in root nodule symbiosis have been mostly achieved by using two model legumes, Lotus japonicus and Medicago truncatula, that have relatively simple and small genomes and are capable of molecular transfection. However, recent development of resources for soybean molecular genetic research, such as genome sequencing, large EST databases, and high-density linkage maps, have enabled us to isolate several Rj genes. This progress has been achieved in connection with systematic utilization of the information obtained from molecular genetics of the model legumes. In this review, we summarize the current status of knowledge of host-controlled nodulation in soybean based on information from recent studies on Rj genes, and discuss the future research prospects.
A Low Power 2 GHz Unity Gain Frequency with 154 PSRR CMOS OTA

In this paper a novel high frequency CMOS op-amplifier is proposed based on 0.18 µ CMOS technology. The proposed OP-Amp allows us to work not only at low voltage but also at high frequencies. The op-amp provides 39dB CMRR and 1.41 V/µs slew rate with 65o phase margin. To provide better performance a current buffer based compensate technique is used. As compared to conventional op-amp the proposed amplifier provides higher unity gain frequency. The proposed amplifier is simulated on electronics workbench and shows close agreement with theoretical approach.
Do differences in life‐history traits and the timing of peak mating activity between host‐associated populations of Chilo suppressalis have a genetic basis?

Abstract The development of host races, genetically distinct populations of the same species with different hosts, is considered to be the initial stage of ecological speciation. Ecological and biological differences consistent with host race formation have been reported between water‐oat and rice‐associated populations of Chilo suppressalis. In order to confirm whether these differences have a genetic basis, we conducted experiments to determine the extent to which various life‐history traits and the time of peak mating activity of these populations were influenced by the species of host plant larvae were raised on. Individuals from each population were reared for three consecutive generations on either water‐oat fruit pulp or rice seedlings. Descendants of both populations had higher larval survival rates, shorter larval developmental periods, higher pupal weight, and longer adult forewings, when reared on water‐oats than when reared on rice. The time of peak of mating activity differed between the descendants of each population, irrespective of whether they were raised on water‐oats or rice. These results indicate that although some life‐history traits of host‐associated populations of C. suppressalis are influenced by the host plant larvae are raised on, time of peak mating activity is not. Because it is a stable, objective, phenotypic trait, further research on difference in the time of peak mating activity between host‐associated populations of C. suppressalis should be conducted to clarify the mechanism responsible for host race formation in this species.
Dynamic Gaits and Control in Flexible Body Quadruped Robot

Legged robots are highly attractive for military purposes such as carrying heavy loads on uneven terrain for long durations because of the higher mobility they give on rough terrain compared to wheeled vehicles/robots. Existing state-of-the-art quadruped robots developed by Boston Dynamics such as LittleDog and BigDog do not have flexible bodies. It can be easily seen that the agility of quadruped animals such as dogs, cats, and deer etc. depend to a large extent on their ability to flex their bodies. However, simulation study on step climbing in 3D terrain quadruped robot locomotion with flexible body has not been reported in literature. This paper aims to study the effect of body flexibility on stability and energy efficiency in walking mode, trot mode and running (bounding) mode on step climbing. Keywords— Simulation, stability margin, flexible body, dynamic gait
An Image-Based Radiosity Representation

We present a geometry-independent radiosity representation which stems from image-based methodologies. Our image-based representation is inspired by the concept of layered depth images. To construct the radiosity function we render shaded depth images and warp them into the representation. This enables us to alter Keller’s instant radiosity algorithm to a view-independent variant, allowing interactive viewing of complex scenes without relighting every frame. Image warping is done on the host CPU, while graphics hardware is exploited for rendering the images. Our approach differs from the traditional finite element methods since no a priori meshing, nor an explicit form factor evaluation needs to be performed. The geometry independence ensures a reliable rendering time and memory usage, which are more dependent on image resolution rather than scene complexity. It also implies that lighting information is decoupled from scene representation, thereby avoiding the restriction to planar surfaces and issues such as discontinuity meshing.
Hydrogen Detection With a Gas Sensor Array – Processing and Recognition of Dynamic Responses Using Neural Networks

An array consisting of four commercial gas sensors with target specifications for hydrocarbons, ammonia, alcohol, explosive gases has been constructed and tested. The sensors in the array operate in the dynamic mode upon the temperature modulation from 350°C to 500°C. Changes in the sensor operating temperature lead to distinct resistance responses affected by the gas type, its concentration and the humidity level. The measurements are performed upon various hydrogen (17-3000 ppm), methane (167-3000 ppm) and propane (167-3000 ppm) concentrations at relative humidity levels of 0-75%RH. The measured dynamic response signals are further processed with the Discrete Fourier Transform. Absolute values of the dc component and the first five harmonics of each sensor are analysed by a feed-forward back-propagation neural network. The ultimate aim of this research is to achieve a reliable hydrogen detection despite an interference of the humidity and residual gases.
Web based learning: A research on assessing its effectiveness in contrast to traditional classroom learning environment

Corporates invest tremendous amount of finance in training workforce. This amount comprises of cost to trainer, infrastructure and time taken to train the workforce. Internet technologies have significantly affected our industries (Gabriele Piccol, 2001) where many industries have started using these internet technologies for providing virtual learning environment. This paper attempts to demonstrate the difference between two learning environments: traditional classroom environment and web based virtual learning environment. To demonstrate the fact the study has selected two groups, where one group participates in traditional learning environment and the other group participates in web based virtual learning environment. The performance of both the groups are noted and analysed.
Inverse estimation of ventricular Purkinje tree pathways from sequences of depolarization

The electrical activation of the heart is a complex process that is essential for the understanding and treatment of several cardiac dysfunctions, such as ventricular tachycardia. Patient-specific local activation times (LAT) are usually obtained using electro-anatomical maps, however unveiling the underlying fast pathways formed by the Purkinje network remains a complex problem. We present a method based on differential geometry to estimate from a set of endocardium LATs, the locations on the endocardium with a potential number of Purkinje myocardial junctions, and the corresponding Purkinje branching structure. We evaluate our method on biophysical simulations using several Purkinje configurations. LAT errors of estimated Purkinje trees are in the order of 6 ms.
Design and Implementation of the Hardware Platform for Antenna Arraying Combinations

This paper develops a FPGA-Based hardware platform on which antenna arraying combinations can be realized. The hardware platform consists of four units, i.e., intermediate frequency signals receiver, intermediate frequency signal output, frequency synthesizer and FPGA. The strategy is implemented through designing with a proper choice of chips and peripheral circuits for each unit. The designed units are tested separately in the first place and then integrated and tested as a system. The proposed system is capable of effectively processing four analog signals of intermediate frequency and generating the corresponding digital signals for digital signal processing unit. The system is also capable of outputting the combined signal in terms of analog signal of intermediate frequency as required. The effectiveness of antenna arraying combinations and other signal processing algorithms can be realized on the designed system.
Notes About a More Aware Dependency Parser

In this paper I explain the reasons that led me to research and conceive a novel technology for dependency parsing, mixing together the strengths of data-driven transition-based and constraint-based approaches. In particular I highlight the problem to infer the reliability of the results of a data-driven transition-based parser, which is extremely important for high-level processes that expect to use correct parsing results. I then briefly introduce a number of notes about a new parser model I'm working on, capable to proceed with the analysis in a "more aware" way, with a more "robust" concept of robustness.
Physical limits to the validity of synthesis models - The Lowest Luminosity Limit

In this paper we establish a necessary condition for the application of stellar population synthesis models to observed star clusters. Such a condition is expressed by the requirement that the total luminosity of the cluster modeled be larger than the contribution of the most luminous star included in the assumed isochrones, which is referred to as the Lowest Luminosity Limit (LLL). This limit is independent of the assumptions on the IMF and almost independent of the star formation history. We have obtained the Lowest Luminosity Limit for a wide range of ages (5 Myr to 20 Gyr) and metallicities (Z = 0 to Z = 0.019) from the Girardi et al. (2002) isochrones. Using the results of evolutionary synthesis models, we have also obtained the minimal cluster mass associated with the LLL, M m i n , which is the mass value below which the observed colors are severely biased with respect to the predictions of synthesis models. We explore the relationship between M m i n and the statistical properties of clusters, showing that the magnitudes of clusters with mass equal to M m i n have a relative dispersion of 32% at least (i.e., 0.35 mag) in all the photometric bands considered; analogously, the magnitudes of clusters with mass larger than 10 x M m i n have a relative dispersion of 10% at least. The dispersion is comparatively larger in the near infrared bands: in particular, M m i n takes values between 10 4 and 10 5 M O . for the K band, implying that severe sampling effects may affect the infrared emission of many observed stellar clusters. As an example of an application to observations, we show that in surveys that reach the Lowest Luminosity Limit the color distributions will be skewed toward the color with the smallest number of effective sources, which is usually the red, and that the skewness is a signature of the cluster mass distribution in the survey. We also apply our results to a sample of Globular Clusters, showing that they seem to be affected by sampling effects, a circumstance that could explain, at least partially, the bias of the observed colors with respect to the predictions of synthesis models. Finally, we extensively discuss the advantages and the drawbacks of our method: it is, on the one hand, a very simple criterion for the detection of severe sampling problems that bypasses the need for sophisticated statistical tools; on the other hand, it is not very sensitive, and it does not identify all the objects in which sampling effects are important and a statistical analysis is required. As such, it defines a condition necessary but not sufficient for the application of synthesis models to observed clusters.
A fast rectangular spreading technique in global placement

Cell shifting is an efficient technique of removing overlap and accelerating the convergence of quadratic placement approach. However, this technique does not take the cells' spreading direction into consideration. In our implement of cell shifting, the four corners of the rectilinear region tend to be less occupied by cells, thereby reducing the utilization of the whole region. To solve this problem, in this paper, we present a cell shifting aware of spreading direction of cells, rectangular spreading, to drive cells to spread in a rectangular contour. It can afford placement with better distribution of cells in four corners. Besides, we give a detailed description of our implement of cell shifting.
A P2P virtual core-network architecture for next-generation mobility networks

We propose a new virtualized Peer-to-Peer (P2P) core-network architecture where each user gets its own private copy of the core network. This enables higher security and novel services, that cannot be deployed in today's architecture. We describe the new architecture in detail, presenting some of its many advantages and novel services. Lastly, we discuss some architectural options and their tradeoff by analyzing voice-call traffic in a large U.S. cellular network provider.