Miracle-dz/UniFAR-FTUs huggingface dataset:
[Left ventricular diastolic function in normal pregnancy. A prospective study using M-mode echocardiography and Doppler echocardiography].

BACKGROUND AND OBJECTIVE During pregnancy many substantial changes occur in the cardiovascular system. Aim of this study was to examine how physiological preload alterations influence left ventricular haemodynamic parameters. PATIENTS AND METHODS During the 9th, 24th and 33rd weeks of pregnancy and 8 weeks after childbirth 36 patients underwent echocardiographic studies. 36 young not pregnant women (25 +/- 7 years) served as controls. The following Doppler echocardiographic parameters were measured: peak early diastolic flow velocity (VE, ms); acceleration (AT; ms) and deceleration time (DT; ms) of flow velocity in early diastole; peak late diastolic flow velocity (VA; m/s) and isovolumetric relaxation time (IVRT; ms). In all women the left ventricular muscle mass index (LVMMI), fractional shorting (FS; %) and the ratio between septum and posterior ventricular wall were calculated. RESULTS During pregnancy all women showed an elevation of the left ventricular muscle mass index (LVMMI: from 66 +/- 6 to 100 +/- 9 g/m2; p < 0.01) and a decrease of fractional shortening (FS: from 38 +/- 4 to 31 +/- 3%). All patients developed a relevant diastolic dysfunction: reduced early diastolic flow velocity (VE: from 0.89 +/- 0.11 to 0.83 +/- 0.19 m/s; P < 0.01), reduced E/A ratio (1.7 +/- 0.4 to 1.2 +/- 0.4; P < 0.01), prolonged IVRT (72 +/- 12 to 114 +/- 12 ms; P < 0.01) and deceleration time (DT: to 189 +/- 17 to 227 +/- 18 ms; P < 0.01). Eight weeks after childbirth all parameters of left ventricular systolic and diastolic functions were normal. CONCLUSION Preload alterations during normal pregnancy lead to reversible physiological left ventricular hypertrophy. Furthermore, we found a short-time reduction of systolic function just before childbirth and a significant alteration of the left ventricular diastolic filling pattern (abnormal relaxation pattern). While left ventricular systolic function was normal in all patients one week after childbirth, left ventricular hypertrophy and left ventricular diastolic dysfunction persisted for nearly two months.
Position Resolved In-Situ X-Ray Observation of Recrystallization and Its Description by Self-Organized Criticality

A novel X-ray diffraction method, allowing the position resolved imaging of a polycrystalline specimen using the diffracted radiation, was applied for in situ investigation of recrystallization of cold-rolled copper. A large area of the specimen could be observed simultaneously, yielding information about nucleation and growth of many individual crystallites. The recrystallization process showed a stochastic behavior which can be described by the model of self-organized criticality.
Neutralization of Adenoviruses: Kinetics, Stoichiometry, and Mechanisms

Kinetic curves for neutralization of adenovirus type 2 with anti-hexon serum revealed no lag periods even when the serum was highly diluted or when the temperature was lowered to 4°C, thus indicating a single-hit mechanism. Multiplicity curves determined with anti-hexon serum displayed a linear correlation between the degree of neutralization and dilution of antiserum. Neutralization values experimentally obtained under steady-state conditions fully fitted a single-hit model based on Poisson calculations. Quantitation of the amount
Comparative study on SIFT and SURF face feature descriptors

Feature refers to some relevant information which is present on images or faces. Feature extraction used to extract those features from the face. Among that bulk of keypoints, only robust features are detected by using feature descriptors. This paper analyzes 2 robust feature detector and descriptors are: Scale-Invariant Feature Transform (SIFT) and Speeded Up Robust Features (SURF). These two robust feature descriptors are invariant to scale changes, blur, rotation, illumination changes and affine transformation. SIFT is an algorithm used to extract the features from the images. SURF is an efficient algorithm is same as SIFT performance and reduced in computational complexity. SIFT algorithm presents its ability in most of the situation but still its performance is slow. SURF algorithm is same as SIFT with fastest one and good performance.
Geology of the Caloris Basin, Mercury: A View from MESSENGER

The Caloris basin, the youngest known large impact basin on Mercury, is revealed in MESSENGER images to be modified by volcanism and deformation in a manner distinct from that of lunar impact basins. The morphology and spatial distribution of basin materials themselves closely match lunar counterparts. Evidence for a volcanic origin of the basin's interior plains includes embayed craters on the basin floor and diffuse deposits surrounding rimless depressions interpreted to be of pyroclastic origin. Unlike lunar maria, the volcanic plains in Caloris are higher in albedo than surrounding basin materials and lack spectral evidence for ferrous iron-bearing silicates. Tectonic landforms, contractional wrinkle ridges and extensional troughs, have distributions and age relations different from their counterparts in and around lunar basins, indicating a different stress history.
High-Throughput Screening Identifies Cardiac Glycosides as Potent Inhibitors of Human Tissue Kallikrein Expression: Implications for Cancer Therapies

Purpose: Human tissue kallikreins (KLK) comprise a subgroup of 15 homologous secreted serine proteases. Primarily known for their clinical use as cancer biomarkers (e.g., PSA), KLKs have recently been directly implicated in cancer-related processes, including invasion, angiogenesis, and tumor growth regulation. Therefore, the identification of compounds that would modulate expression of KLKs might be of considerable therapeutic value. Experimental Design: A cell-based high-throughput screening (HTS) of three small molecule libraries (∼4,500 compounds) was undertaken; KLK expression in the breast cancer cell line MDA-MB-468 was assessed with sensitive ELISAs. Results: The initial screening resulted in 66 “putative hits” that decreased KLK5 expression by at least 50% over control. Secondary screening and mini-dose-response assays resulted in 21 “validated hits. ” These 21 compounds were clustered in only three distinct functional families and were further analyzed in vitro to determine their effectiveness (IC50s). Hits that failed to show dose-responsiveness or interfered with the viability of the cells were excluded. Multiple members of the cardiac glycoside family were found to be novel inhibitors of KLK expression, acting at low concentrations (10-50 nmol/L). Furthermore, members of the same family induced marked decreases in c-MYC and c-FOS expression, in a dose-dependent manner that correlated the KLK inhibition, suggesting a transcriptional mechanism of regulation of KLK expression. Conclusions: We conclude that cardiac glycosides can dramatically suppress the transcription of KLKs and that these effects may be linked to proto-oncogene (c-myc/fos) expression. These findings may partially explain the recently realized antineoplastic actions of cardiac glycosides.
Parallel iterative compilation: using MapReduce to speedup machine learning in compilers

Research has proved that machine learning and iterative compilation techniques can be profitable when applied to compilers to improve the optimizations they perform on programs. Unfortunately, these techniques are hampered by the long training times they require. This paper shows that parallel execution of multiple training runs can be naturally mapped on the MapReduce programming model and is effective in reducing execution times for iterative compilation. The presented technique allows parallel execution on multiple identical worker nodes or on a single machine by splitting its resources. Experimental results show that an almost-linear speedup can be obtained.
AccuRate: Constellation Based Rate Estimation in Wireless Networks

This paper proposes to exploit physical layer information towards improved rate selection in wireless networks. While existing schemes pick good transmission rates, this paper takes a step further towards computing the optimal bit rate. The main idea is to capture the channel behavior through symbol level dispersions, and "replay" these dispersions on different rate encodings of the same packet. The "replay" action can be emulated at the receiver without requiring the transmitter to send the packet at every other rate. The maximum successful rate is likely to be the optimal rate of the received packet, and assuming that the channel remains coherent, the same rate can be prescribed for the next transmission. We design, implement, and evaluate this idea over a small testbed of USRP hardware and GNURadio software. Our proposal, called AccuRate, predicts a packet's optimal rate 95% of times when the packet is received correctly. When the packet is received in error, AccuRate computes its optimal rate with 93% accuracy. In terms of throughput, we show that AccuRate improves over the state-of-the-art scheme SoftRate by around 10%, and is reasonably close to the optimal.
The Study of the Etch Characteristics of the HfAlO 3 Thin Film in O 2 /BCl 3 /Ar Plasma

In this study, thin films using gate insulator of MOSFET were etched in inductively coupled plasma. The etch characteristics of the thin films has been investigated by varying /Ar gas mixing ratio, a RF power, a DC bias voltage and a process pressure. As the concentration increases further, was redeposited. As increasing RF power and DC bias voltage, etch rates of the thin films increased. Whereas, as decreasing of the process pressure, etch rates of the thin films increased. The chemical reaction on the surface of the etched the thin films was investigated with X-ray photoelectron spectroscopy (XPS). These peaks moved a binding energy. This chemical shift indicates that there are chemical reactions between the thin films and radicals and the resulting etch by-products remain on the surface.
THE THREE-DIMENSIONAL STRUCTURE OF THE BASAL BODY FROM THE RHESUS MONKEY OVIDUCT

The structure of the oviduct basal body has been reconstructed from serial, oblique, and tangential sections This composite information has been used to construct a three-dimensional scale model of the organelle The walls are composed of nine equally spaced sets of three tubules, which run from base to apex pitched to the left at a 10°–15° angle to the longitudinal axis. The transverse axis of each triplet set at its basal end intersects a tangent to the lumenal circumference of the basal body at a 40° angle (triplet angle). As the triplet set transverses from base to apex, it twists toward the lumen on the longitudinal axis of the inner A tubule; therefore, the triplet angle is 10° at the basal body-cilium junction. Strands of fibrous material extend from the basal end of each triplet to form a striated rootlet. A pyramidal basal foot projects at right angles from the midregion of the basal body. In the apex, a 175 mµ long trapezoidal sheet is attached to each triplet set. The smaller of the two parallel sides is attached to all three tubules while the longitudinal edge (one of the equidistant anti-parallel sides) is attached to the C tubule. The sheet faces counterclockwise (apex to base view) and gradually unfolds from base to apex; the outside corner merges with the cell membrane.
Induction of compact decision trees for personalized recommendation

We propose a method for induction of compact optimal recommendation policies based on discovery of frequent item-sets in a purchase database, followed by the application of standard decision tree learning algorithms for the purposes of simplification and compaction of the recommendation policies. Experimental results suggest that the structure of such policies can be exploited to partition the space of customer purchasing histories much more efficiently than frequent itemset discovery algorithms alone would allow.
Elasticutor: Rapid Elasticity for Realtime Stateful Stream Processing

Elasticity is highly desirable for stream systems to guarantee low latency against workload dynamics, such as surges in arrival rate and fluctuations in data distribution. Existing systems achieve elasticity using a resource-centric approach that repartitions keys across the parallel instances, i.e., executors, to balance the workload and scale operators. However, such operator-level repartitioning requires global synchronization and prohibits rapid elasticity. We propose an executor-centric approach that avoids operator-level key repartitioning and implements executors as the building blocks of elasticity. By this new approach, we design the Elasticutor framework with two level of optimizations: i) a novel implementation of executors, i.e., elastic executors, that perform elastic multi-core execution via efficient intra-executor load balancing and executor scaling and ii) a global model-based scheduler that dynamically allocates CPU cores to executors based on the instantaneous workloads. We implemented a prototype of Elasticutor and conducted extensive experiments. We show that Elasticutor doubles the throughput and achieves up to two orders of magnitude lower latency than previous methods for dynamic workloads of real-world applications.
Family caregiving during healthy aging and illness.

mediciNe & HealtH/RHode islaNd family Caregivers are inextriCably nested in health care. Upon return home after an important physician visit, a patient may encounter questions from a spouse or other loved one. For many patients, family members provide direct accompaniment to the physician and actively participate in informed consent and other clinical decisions; for some, the caregiver is a designated legal proxy decision-maker. There is variety in how these patient-caregiver relationships form and develop over time; some individuals clearly identify who will help long before the help is needed whereas others are forced to recruit family caregivers amidst an unexpected and urgent crisis. Be it routine, a crisis or advanced care planning, there are always opportunities to enhance the process of patient, caregiver and clinician working together. The Institute for Healthcare Improvement (IHI) proposes that all initiatives to enhance quality should concurrently address three facets of a “Triple Aim,” including: “better care for individuals, better health for populations, and lower per capita costs. ” In Rhode Island, estimates suggest that there are over 100,000 individuals providing substantive unpaid family caregiving, translating into millions of dollars of free health care to the seriously ill. Any quality initiative targeting an illness, such as post-stroke rehabilitation, or an environment, such as hospital service use, must attend to the role of the family caregiver as an essential component of improving health care quality. The question is: what opportunities currently exist for better integration of family caregivers into routine health maintenance and acute patient care settings? Enhancing patient care by incorporating family caregivers must address the public health context of caregiving, including health risks for family caregivers, and caregivers’ instrumental needs. There is growing concern that the chronic stressors associated with protracted family caregiving pose health risks. Specifically, Family caregivers report worse health than non-caregivers, engage in fewer healthFamily caregiving during Healthy aging and illness
Replication of biotemplates for the development of highly efficient biomimetic optical metamaterials and devices

Biomimetics involves the implementation of ideas and concepts from nature in different technoscientific fields. Aiming at the further development of biomimetic optical metamaterials and devices, we devised the conformal-evaporated-filmby- rotation (CEFR) technique to fabricate inorganic replicas of biotemplates with high reliability and fidelity at the micro- and nano-scales. Some potential applications include high-sensitivity chemical sensors and biosensors, textured coatings for solar cells and other energy-harvesting structures, environmental sensors, high-speed motion detectors, surveillance systems, cameras for image-guided surgeries, as well as for many clinical treatments that can be controlled by implanted light-delivery devices. Moreover, we demonstrated the successful conformal coating of the external surface of a MEMS comb resonator by the CEFR technique, thereby extending application to microelectronics.
Bridging the Capacity Gap Between Interactive and One-Way Communication

We study the communication rate of coding schemes for interactive communication that transform any two-party interactive protocol into a protocol that is robust to noise. Recently, Haeupler (FOCS '14) showed that if an $\epsilon > 0$ fraction of transmissions are corrupted, adversarially or randomly, then it is possible to achieve a communication rate of $1 - \widetilde{O}(\sqrt{\epsilon})$. Furthermore, Haeupler conjectured that this rate is optimal for general input protocols. This stands in contrast to the classical setting of one-way communication in which error-correcting codes are known to achieve an optimal communication rate of $1 - \Theta(H(\epsilon)) = 1 - \widetilde{\Theta}(\epsilon)$. In this work, we show that the quadratically smaller rate loss of the one-way setting can also be achieved in interactive coding schemes for a very natural class of input protocols. We introduce the notion of average message length, or the average number of bits a party sends before receiving a reply, as a natural parameter for measuring the level of interactivity in a protocol. Moreover, we show that any protocol with average message length $\ell = \Omega(\mathrm{poly}(1/\epsilon))$ can be simulated by a protocol with optimal communication rate $1 - \Theta(H(\epsilon))$ over an oblivious adversarial channel with error fraction $\epsilon$. Furthermore, under the additional assumption of access to public shared randomness, the optimal communication rate is achieved ratelessly, i.e., the communication rate adapts automatically to the actual error rate $\epsilon$ without having to specify it in advance. This shows that the capacity gap between one-way and interactive communication can be bridged even for very small (constant in $\epsilon$) average message lengths, which are likely to be found in many applications.
Visual Encoding of Dissimilarity Data via Topology-Preserving Map Deformation

We present an efficient technique for topology-preserving map deformation and apply it to the visualization of dissimilarity data in a geographic context. Map deformation techniques such as value-by-area cartograms are well studied. However, using deformation to highlight (dis)similarity between locations on a map in terms of their underlying data attributes is novel. We also identify an alternative way to represent dissimilarities on a map through the use of visual overlays. These overlays are complementary to deformation techniques and enable us to assess the quality of the deformation as well as to explore the design space of blending the two methods. Finally, we demonstrate how these techniques can be useful in several-quite different-applied contexts: travel-time visualization, social demographics research and understanding energy flowing in a wide-area power-grid.
LAGRANGIAN COHERENT STRUCTURES IN NONLINEAR DYNAMOS

Turbulence and chaos play a fundamental role in stellar convective zones through the transport of particles, energy, and momentum, and in fast dynamos, through the stretching, twisting, and folding of magnetic flux tubes. A particularly revealing way to describe turbulent motions is through the analysis of Lagrangian coherent structures (LCSs), which are material lines or surfaces that act as transport barriers in the fluid. We report the detection of LCSs in helical MHD dynamo simulations with scale separation. In an Arnold–Beltrami–Childress flow, two dynamo regimes, a propagating coherent mean-field regime and an intermittent regime, are identified as the magnetic diffusivity is varied. The sharp contrast between the chaotic tangle of attracting and repelling LCSs in both regimes permits a unique analysis of the impact of the magnetic field on the velocity field. In a second example, LCSs reveal the link between the level of chaotic mixing of the velocity field and the saturation of a large-scale dynamo when the magnetic field exceeds the equipartition value.
Inflammation in Atherosclerosis and Other Conditions: A Response to Danger

In the last few years atherosclerosis has been recognized as an inflammatory process. Assessment of low-grade inflammation with indexes like C-reactive protein (CRP) is considered indicative and potentially predictive for this disease. On the other hand, in a large number of clinical studies, a grade of microinflammation has been found to be associated with numerous other processes that may be directly, indirectly or not related to atherosclerosis. The most interesting finding these studies have yielded is that innate immunity is activated in various, previously unexpected, conditions. This phenomenon is better explained by the application of a recently proposed immune activation mechanism, namely, the ‘danger model’. It seems that many conditions related to metabolic or homeostatic stress or to pro-atherosclerotic and pre-diabetic dysfunctions, established atherosclerosis or diabetes, but also other early tissue injury – like renal, pulmonary or connective tissue – and several exogenous stimuli, constitute ‘danger signals’ that induce inflammation which interacts with and complicates the above-mentioned processes. On this basis the complex relationships between CVD risk factors, atherosclerotic process, other tissue injury and inflammation is examined. The practical application of this hypothesis, namely the new clinical use of CRP as a sensitive – although not specific for atherosclerosis – index of low-grade inflammatory activity as well as to the atherosclerosis treatment are also discussed.
COMPARITIVE STUDY OF DIMENSION REDUCTION TECHNIQUES FOR MOOD DETECTION

The expression recognition system is closely related to face recognition where a lot of research has been done and a vast array of algorithms has been introduced. The mood detection system can also be considered as a special case of a pattern recognition problem and many techniques are available. In the designing of a Mood Detection System, we can take advantage of these resources and use existing algorithms as buildin g blocks of our system. In this research work comparative study of mood detection techniques namely Principal Component analysis (PCA), PCA with Fisher face is done. The major part of this paper will explore and compare that the combination of PCA and Fisher face is more optimized than former technique. The experiments have been performed on real time database to figure out the performance of desired algorithm in terms of recognition rate and computational time. There are five different moods which are to be recognized are: Happy, Disgust, Angry, Sad and Surprise.
Design and Application Spaces for IPv6 over Low-Power Wireless Personal Area Networks (6LoWPANs)

This document investigates potential application scenarios and use cases for low-power wireless personal area networks (LoWPANs). This document provides dimensions of design space for LoWPAN applications. A list of use cases and market domains that may benefit and motivate the work currently done in the 6LoWPAN Working Group is provided with the characteristics of each dimension. A complete list of practical use cases is not the goal of this document. This document is not an Internet Standards Track specification; it is published for informational purposes.