The effect of different positions during non-stress test on maternal hemodynamic parameters, satisfaction, and fetal cardiotocographic patterns

Maternal position is one of the most important factors to be considered during Non-Stress Test (NST). It should be a part of practice guidelines, where the appropriate maternal position reduces test-related errors and false-positive results. This study aimed to investigate the effect of different maternal positions during NST on maternal hemodynamic parameters, satisfaction, and fetal Cardiotocographic (CTG) pattern. A quasi-experimental research design was conducted at NST clinic, outpatient department/ Maternal and Children hospital at Najran city, Saudi Arabia. The study comprised a convenience sample of 118 low-risk pregnant women in their third trimester of pregnancy. Data was collected from January to June 2020. All women were assessed in the three different positions; supine, left lateral, and semi-fowler position concerning CTG pattern, maternal hemodynamic parameters, and satisfaction. The study results indicated a higher Fetal Heart Rate (FHR), increased accelerations, and fetal movement in the left lateral position, followed by a semi-fowler position compared to the supine position with statistically significant differences. No statistically significant differences (P>0.05) were observed regarding FHR variability and NST reactivity in the three positions. In addition, there were statistically significant differences (P<0.05) between the different maternal positions regarding maternal heart rate, systolic Blood pressure (BP), diastolic BP, and maternal satisfaction. The current study concluded that left lateral and semi-fowler positions were associated with a more favorable CTG pattern, maternal hemodynamic parameters, and satisfaction than the supine position. Left lateral and semi-fowler positions during the NST test should be standardized to reduce practical variations among health care providers, which, in turn, may reduce the need for unnecessary, expensive, and even hazardous interventions. La position de la mère est l'un des facteurs les plus importants à prendre en compte lors du test sans stress (NST). Cela devrait faire partie des directives de pratique, où la position maternelle appropriée réduit les erreurs liées aux tests et les résultats faussement positifs. Cette étude visait à étudier l'effet de différentes positions maternelles pendant le NST sur les paramètres hémodynamiques maternels, la satisfaction et le schéma cardiotocographique fœtal (CTG). Une conception de recherche quasi-expérimentale a été menée à la clinique du NST, au service de consultation externe / à l'hôpital maternel et infantile de la ville de Najran, en Arabie saoudite. L'étude comprenait un échantillon de convenance de 118 femmes enceintes à faible risque dans leur troisième trimestre de grossesse. Les données ont été recueillies de janvier à juin 2020. Toutes les femmes ont été évaluées dans les trois postes différents; position couchée, latérale gauche et semi-fowler concernant le schéma CTG, les paramètres hémodynamiques maternels et la satisfaction. Les résultats de l'étude ont indiqué une fréquence cardiaque fœtale (FCF) plus élevée, des accélérations accrues et des mouvements fœtaux en position latérale gauche, suivis d'une position semi-fowler par rapport à la position couchée avec des différences statistiquement significatives. Aucune différence statistiquement significative (P> 0,05) n'a été observée concernant la variabilité FHR et la réactivité du NST dans les trois positions. De plus, il y avait des différences statistiquement significatives (P <0,05) entre les différentes positions maternelles concernant la fréquence cardiaque maternelle, la tension artérielle systolique (TA), la TA diastolique et la satisfaction maternelle. L'étude actuelle a conclu que les positions latérales gauches et semi-fowler étaient associées à un modèle CTG plus favorable, des paramètres hémodynamiques maternels et une satisfaction que la position couchée. Les positions latérales gauche et semi-fowler pendant le test NST doivent être standardisées pour réduire les variations pratiques entre les prestataires de soins de santé, ce qui, à son tour, peut réduire le besoin d'interventions inutiles, coûteuses et même dangereuses

Minimal-memory realization of pearl-necklace encoders of general quantum convolutional codes

Quantum convolutional codes, like their classical counterparts, promise to offer higher error correction performance than block codes of equivalent encoding complexity, and are expected to find important applications in reliable quantum communication where a continuous stream of qubits is transmitted. Grassl and Roetteler devised an algorithm to encode a quantum convolutional code with a "pearl-necklace encoder." Despite their theoretical significance as a neat way of representing quantum convolutional codes, they are not well-suited to practical realization. In fact, there is no straightforward way to implement any given pearl-necklace structure. This paper closes the gap between theoretical representation and practical implementation. In our previous work, we presented an efficient algorithm for finding a minimal-memory realization of a pearl-necklace encoder for Calderbank-Shor-Steane (CSS) convolutional codes. This work extends our previous work and presents an algorithm for turning a pearl-necklace encoder for a general (non-CSS) quantum convolutional code into a realizable quantum convolutional encoder. We show that a minimal-memory realization depends on the commutativity relations between the gate strings in the pearl-necklace encoder. We find a realization by means of a weighted graph which details the non-commutative paths through the pearl-necklace. The weight of the longest path in this graph is equal to the minimal amount of memory needed to implement the encoder. The algorithm has a polynomial-time complexity in the number of gate strings in the pearl-necklace encoder.Comment: 16 pages, 5 figures; extends paper arXiv:1004.5179v

Menopause Anxiety and Depression; How Food Can Help?

BACKGROUND: Anxiety and depression are reported as two major frequent and chief complaints among peri-menopausal women in several societies. AIM: The objective of the study was to study the effect of using two dietary supplements to beat depression and anxiety associated with menopause. SUBJECTS AND METHODS: Sixty-six volunteers’ menopausal women participated on the study for 8 weeks, 35 subjects consumed daily cookies prepared mainly from soya flour and flaxseed, and 31 females consumed daily a blend composed mainly of raw unroasted peanut and raw sesame. Follow-up was performed with menopause rating scale, anxiety score, depression score, and biochemical parameters. RESULTS: Soya cookies were rich in plant-based protein and total phenols while blend was a good source of unsaturated fatty acid. Blend consumers showed significant percentage reduction in beck anxiety score and beck depression score after intervention, more than cookies consumers group. The anthropometrics parameters were statistical significant changed on both groups, more on the group who consumed the soya cookies. Soya cookies demonstrated an anti-inflammatory effect, while blend had an antioxidant and anti-inflammatory effects as was shown on the serum assay of interleukin-6 and malondialdehyde as an inflammatory marker and an antioxidant marker, respectively. CONCLUSION: From the results, it can be concluded that the supplementation of products enriched with unsaturated fatty acid was more beneficial to slow down the psychological menopause symptoms than natural estrogen rich product consumption

On Using Machine Learning to Identify Knowledge in API Reference Documentation

Using API reference documentation like JavaDoc is an integral part of software development. Previous research introduced a grounded taxonomy that organizes API documentation knowledge in 12 types, including knowledge about the Functionality, Structure, and Quality of an API. We study how well modern text classification approaches can automatically identify documentation containing specific knowledge types. We compared conventional machine learning (k-NN and SVM) and deep learning approaches trained on manually annotated Java and .NET API documentation (n = 5,574). When classifying the knowledge types individually (i.e., multiple binary classifiers) the best AUPRC was up to 87%. The deep learning and SVM classifiers seem complementary. For four knowledge types (Concept, Control, Pattern, and Non-Information), SVM clearly outperforms deep learning which, on the other hand, is more accurate for identifying the remaining types. When considering multiple knowledge types at once (i.e., multi-label classification) deep learning outperforms na\"ive baselines and traditional machine learning achieving a MacroAUC up to 79%. We also compared classifiers using embeddings pre-trained on generic text corpora and StackOverflow but did not observe significant improvements. Finally, to assess the generalizability of the classifiers, we re-tested them on a different, unseen Python documentation dataset. Classifiers for Functionality, Concept, Purpose, Pattern, and Directive seem to generalize from Java and .NET to Python documentation. The accuracy related to the remaining types seems API-specific. We discuss our results and how they inform the development of tools for supporting developers sharing and accessing API knowledge. Published article: https://doi.org/10.1145/3338906.333894

Tyrosinase inhibition: conformational analysis based studies on molecular dynamics calculations of bipiperidine based inhibitors.

Two series of variably N-substituted biperidines were synthesized by condensing various acid chlorides, alkyl halides and anhydrides with 1,4-bipiperidine. The new compounds were tested as tyrosinase inhibitors and a structure-activity relationship (SAR) study was carried out. Potent inhibition was observed in the case of the 4'-methylbenzyl substitution on this atom (IC50 = 1.72 microM) with this compound being a lead for future drug design. Additionally, calculations of the important QSAR molecular descriptors were done on the biperidine analogues after their 2 ps molecular dynamics (MD) simulations using molecular mechanics force field (MMFF) approaches. Using MD simulations potential and total energies were calculated for the energy minimized models of bipiperidine and the most active analogs 2, 3, 4, 6, 8 and 10

Authenticated key agreement mediated by a proxy re-encryptor for the Internet of Things

International audienceThe Internet of Things (IoT) is composed of a wide range of heterogeneous network devices that communicate with their users and the surrounding devices. The secure communications between these devices are still essential even with little or no previous knowledge about each other and regardless of their resource capabilities. This particular context requires appropriate security mechanisms which should be wellsuited for the heterogeneous nature of IoT devices, without pre-sharing a secret key for each secure connection. In this work, we first propose a novel symmetric cipher proxy re-encryption scheme. Such a primitive allows a user to delegate her decryption rights to another with the help of a semi-trusted proxy, but without giving this latter any information on the transmitted messages and the user's secret keys. We then propose AKAPR, an Authenticated Key Agreement mediated by a Proxy Re-encryptor for IoT. The mechanism permits any two highly resource-constrained devices to establish a secure communication with no prior trust relationship. AKAPR is built upon our proposed proxy re-encryption scheme. It has been proved by ProVerif to provide mutual authentication for participants while preserving the secrecy of the generated session key. In addition, the scheme benefits from the lightness of our proxy re-encryption algorithm as it requires no expensive cryptographic operations such as pairing or modular exponentiatio

Stable characteristic evolution of generic 3-dimensional single-black-hole spacetimes

We report new results which establish that the accurate 3-dimensional numerical simulation of generic single-black-hole spacetimes has been achieved by characteristic evolution with unlimited long term stability. Our results cover a selection of distorted, moving and spinning single black holes, with evolution times up to 60,000M.Comment: 4 pages, 3 figure

Gravitational wave extraction and outer boundary conditions by perturbative matching

We present a method for extracting gravitational radiation from a three-dimensional numerical relativity simulation and, using the extracted data, to provide outer boundary conditions. The method treats dynamical gravitational variables as nonspherical perturbations of Schwarzschild geometry. We discuss a code which implements this method and present results of tests which have been performed with a three dimensional numerical relativity code

Boosted three-dimensional black-hole evolutions with singularity excision

Binary black hole interactions provide potentially the strongest source of gravitational radiation for detectors currently under development. We present some results from the Binary Black Hole Grand Challenge Alliance three- dimensional Cauchy evolution module. These constitute essential steps towards modeling such interactions and predicting gravitational radiation waveforms. We report on single black hole evolutions and the first successful demonstration of a black hole moving freely through a three-dimensional computational grid via a Cauchy evolution: a hole moving ~6M at 0.1c during a total evolution of duration ~60M