Miracle-dz/UniFAR-FTUs huggingface dataset:
Two Japanese kindreds occurring endometrial cancer meeting new clinical criteria for hereditary non‐polyposis colorectal cancer (HNPCC), Amsterdam Criteria II

Hereditary non‐polyposis colorectal cancer (HNPCC), also called Lynch syndrome, is an autosomal dominantly inherited disorder of cancer susceptibility. Patients with HNPCC exhibit an increased risk for HNPCC‐associated extracolonic tumors such as cancer of the endometrium. HNPCC is associated with germline mutations in DNA mismatch repair (MMR) genes: hMLH1, hMSH2 and hMSH6.
Arterial baroreflex resetting during exercise: a current perspective

Within the past 20 years numerous animal and human experiments have provided supportive evidence of arterial baroreflex resetting during exercise. In addition, it has been demonstrated that both the feedforward mechanism of central command and the feedback mechanism associated with skeletal muscle afferents (the exercise pressor reflex) play both independent and interactive roles in the resetting of the arterial baroreflex with exercise. A fundamental alteration associated with baroreflex resetting during exercise is the movement of the operating point of the reflex away from the centring point and closer to the threshold, thereby increasing the ability of the reflex to buffer hypertensive stimuli. Recent studies suggest that central command and the cardiopulmonary baroreceptors may play a role in this movement of the operating point on the baroreflex–heart rate and baroreflex–blood pressure curve, respectively. Current research is focusing on the investigation of central neural mechanisms involved in cardiovascular control, including use of electrophysiological and molecular biological techniques in rat and mouse models to investigate baroreflex resetting as well as use of state of the art brain imaging techniques in humans. However, the purpose of this review is to describe the role of the arterial baroreflex in the regulation of arterial blood pressure during physical activity from a historical perspective with a particular emphasis on human investigations.
Security Provisioning in Cloud Environments using Dynamic Expiration Enabled Role based Access Control Model

In cloud environment the role based access control (RBAC) system model has come up with certain promising facilities for security communities. This system has established itself as highly robust, powerful and generalized framework for providing access control for security management. There are numerous practical applications and circumstances where the users might be prohibited to consider respective roles only at certain defined time periods. Additionally, these roles can be invoked only on after pre-defined time intervals which depend on the permission of certain action or event. In order to incarcerate this kind of dynamic aspects of a role, numerous models like temporal RBAC (TRBAC) was proposed, then while this approach could not deliver anything else except the constraints of role enabling. Here in this paper, we have proposed robust and an optimum scheme called Dynamic expiration enabled role based access control (DEERBAC) model which is efficient for expressing a broad range of temporal constraints.
TreeBASIS Feature Descriptor and Its Hardware Implementation

This paper presents a novel feature descriptor called TreeBASIS that provides improvements in descriptor size, computation time, matching speed, and accuracy. This new descriptor uses a binary vocabulary tree that is computed using basis dictionary images and a test set of feature region images. To facilitate real-time implementation, a feature region image is binary quantized and the resulting quantized vector is passed into the BASIS vocabulary tree. A Hamming distance is then computed between the feature region image and the effectively descriptive basis dictionary image at a node to determine the branch taken and the path the feature region image takes is saved as a descriptor. The TreeBASIS feature descriptor is an excellent candidate for hardware implementation because of its reduced descriptor size and the fact that descriptors can be created and features matched without the use of floating point operations. The TreeBASIS descriptor is more computationally and space efficient than other descriptors such as BASIS, SIFT, and SURF. Moreover, it can be computed entirely in hardware without the support of a CPU for additional software-based computations. Experimental results and a hardware implementation show that the TreeBASIS descriptor compares well with other descriptors for frame-to-frame homography computation while requiring fewer hardware resources.
Evaluating QoE in Cognitive Radio Networks for Improved Network and User Performance

The Cognitive Radio (CR) technique is widely recognized as a promising solution to the spectrum scarcity problem. Previously, extensive research focused on resource allocation (RA) algorithms, targeting the optimization of the MAC layer network performance; these papers assume an unrealistic queue model where the backlog is unchanging over time. The packet level performance of any Secondary Network (SN) is challenging to evaluate due to the highly variable resource availability. However, some level of guaranteed performance is vital to the success of CR technique, because user Quality of Experience (QoE) depends heavily on it. We develop a packet level network performance evaluation platform for CR to evaluate the effect of key factors controlling the QoE. We use QoE as a unified evaluation metric combining both loss and delay. This allows us to evaluate the effect of performance for users with different service requirements, and allows us to expose the limitation of existing RA schemes. We further demonstrate that QoE informed RA schemes can significantly compensate poor quality performance with limited cost.
A research of the bandwidth of a mode-matching MEMS vibratory gyroscope

A novel electrostatic force feedback approach is presented for extending the bandwidth of a mode-matching vibratory microgyroscope. A 0.02 Hz mode-mismatch gyroscope is achieved by applying a DC voltage of 26 V to the squeeze-film combs to adjust the stiffness of the sense mode. Sweep-frequency tests demonstrate that the open loop frequency response is close to a one-order system with a bandwidth of 7.9 Hz, which agrees well with the theoretical simulation. Moreover, both experiment and simulation results show that the bandwidth can be extended to about 94Hz from 7.9Hz after adopting an electrostatic force feedback control.
The Motivation of Tourism Photography Online Sharing

The online sharing of tourism photography has been a widespread phenomenon in recent years. However, few studies empirically analyzed the motivation of why tourists share photos online. From the perspective of aesthetic experience theory and self-determination theory, two extrinsic motivations (i.e. destination attractiveness and destination uniqueness) and three intrinsic motivations (i.e. self-presentation, relationship maintenance and entertainment) are proposed as antecedents. Using the data collected from 269 domestic tourists in Xiamen, we find that both extrinsic and intrinsic motivations have a positive impact on the intention. Specifically, destination uniqueness, relationship maintenance and entertainment have significant effects on online sharing intention.
An Energy-Efficient Collaborative Ground Vibration Measurement Scheme Based on Compressed Sensing and Belief Propagation

Wireless sensor networks (WSNs) can provide crucial and real-time information in many crisis response and management scenarios. For example, in volcano monitoring and the rapid reporting of aftershock information, WSNs detect the ground vibration and transmit the information sufficiently fast to help people survive the disaster. However, the processing and transmission of ground vibration data present a heavy burden for the small nodes of WSNs, and a single sensor node cannot provide accurate results for ground vibration detection. In this paper, we present a promising energy-efficient collaborative ground vibration measurement scheme based on efficient compressed sensing method and belief propagation method using the difference in the signal strength to distribute wireless communication load among sensor nodes, improve the detection probability, and extend the lifetime of this system. The performance was studied via theoretical analysis and simulation experiments, and the results indicated that the system could reconstruct the seismic signal even with a low measurement count; other benefits included decreased energy consumption of the sensor nodes and a considerably increased detection probability because of the proposed belief propagation method.
Le projet voluformes : un exemple de modelisation declarative avec controle spatial

Une des techniques de generation de scenes employee en synthese d'images consiste a provoquer le developpement de formes a partir d'un ou plusieurs germes, selon des regles de construction. Ce type de techniques n'est vraiment interessant que si l'on a un minimum de controle sur les formes que l'on obtient. Un moyen de controler la croissance est d'indiquer des zones de l'espace ou les formes peuvent se developper: nous parlons de controle spatial. Nous decrivons d'abord les techniques de modelisation declarative que nous avons utilisees pour mettre en uvre le controle spatial tridimensionnel: elles sont basees sur la generation de parallelepipedes permettant a l'utilisateur de creer un ensemble de contraintes spatiales. L'ebauche d'une scene est obtenue a partir d'une description constituee de proprietes. Un vocabulaire de placement, de taille, de forme, d'orientation, tant absolu que relatif, est etudie. Les methodes permettant de passer automatiquement d'une description litterale a une proposition de valeurs sont presentees. Nous decrivons ensuite la croissance, sous controle spatial, de structures d'objets appeles cellulons et nous situons ce type de croissance par rapport aux applications de croissance actuellement developpees. Une bibliotheque d'evaluation spatiale fournit des tests de validite pour les cellulons proposes par le mecanisme de production. Nous decrivons enfin le logiciel voluformes constitue de deux modules. Le premier, voluboites, permet d'obtenir une ebauche de scene constituee de parallelepipedes engendres par les techniques de modelisation declarative. Dans le second module, voluscenes, on definit des applications qui assurent la croissance de structures de cellulons, croissance soumise au controle spatial de l'ebauche. Parmi ces applications, citons celles qui permettent de creer des scenes visualisees par des images en couleurs representant des grottes et des paysages desertiques imaginaires. Voluformes permet aussi de definir de nouvelles applications de croissance
MCMC for parameters estimation by Bayesian approach

This article discusses the parameter estimation for dynamic system by a Bayesian approach associated with Markov Chain Monte Carlo methods (MCMC). The MCMC methods are powerful for approximating complex integrals, simulating joint distributions, and the estimation of marginal posterior distributions, or posterior means. The Metropolis-Hastings algorithm has been widely used in Bayesian inference to approximate posterior densities. Calibrating the proposal distribution is one of the main issues of MCMC simulation in order to accelerate the convergence.
Explorer Autoencoding Variational Interference for Topic Models

Topic models are one of the most popular methods for learning representations of text, but a major challenge is that any change to the topic model requires mathematically deriving a new inference algorithm. A promising approach to address this problem is autoencoding variational Bayes (AEVB), but it has proven difficult to apply to topic models in practice. We present what is to our knowledge the first effective AEVB based inference method for latent Dirichlet allocation (LDA), which we call Autoencoded Variational Inference For Topic Model (AVITM). This model tackles the problems caused for AEVB by the Dirichlet prior and by component collapsing. We find that AVITM matches traditional methods in accuracy with much better inference time. Indeed, because of the inference network, we find that it is unnecessary to pay the computational cost of running variational optimization on test data. Because AVITM is black box, it is readily applied to new topic models. As a dramatic illustration of this, we present a new topic model called ProdLDA, that replaces the mixture model in LDA with a product of experts. By changing only one line of code from LDA, we find that ProdLDA yields much more interpretable topics, even if LDA is trained via collapsed Gibbs sampling.
The contribution of strategic management accounting in supply chain outcomes and logistic firm profitability

Article history: Received September 10, 2018 Accepted October 25 2018 Available online October 27 2018 In the current decade, with an increase in e-commerce, the logistics activities have grown rapidly. However, the logistics industry of the Malaysian country is declining, as the ranking of this industry has shown downfall continuously during the past few years. The decrease in logistics industry performance reduces the contribution in a Gross Domestic Product (GDP). Therefore, to address this issue, the primary objective of this study was to examine the role of strategic management accounting practices to enhance the profitability of the Malaysian logistics firms. Questionnaires were adopted to collect the primary data and they were distributed among the employees of the logistics companies. All the questionnaires were distributed through area cluster sampling technique. Partial least square (PLS) structural equation modelling (SEM) was used to analyze the collected data. The results indicate that strategic management accounting practices had a significant positive relationship with supply chain outcomes and supply chain outcomes had a significant positive relationship with the profitability of the logistics companies. Finally, this is one of the pioneer studies, which examined the impact of strategic management accounting practices on the outcome of the logistics firms. Canada ensee Growing Science, by the authors; lic 9 © 201
Immunocytochemical analysis of the dopamine system in the forebrain and midbrain of Raja radiata: Evidence for a substantia nigra and ventral tegmental area in cartilaginous fish

The distribution of dopamine‐containing cell somata and fibers in the forebrain and midbrain of a cartilaginous fish, Raja radiata, was investigated by means of antibodies directed against dopamine. Many small dopamine immunoreactive neurons are distributed throughout the telencephalon, including the olfactory bulbs. Within the diencephalon and particularly in the hypothalamus, i.e., in the nucleus preopticus, nucleus suprachiasmaticus, the paraventricular organ, lateral hypothalamic area, recessus mamillaris, and nucleus tuberculi posterioris, numerous cell somata stain for dopamine. In the mesencephalon, two distinct cell masses are found, which on the basis of their immunoreactivity for dopamine and their location, may be homologous to the substantia nigra and ventral tegmental area of other vertebrates, Dopamine immunoreactive fibers are found in the glomeruli of the olfactory bulbs, in ventral portions of the telencephalon, where a dense dopaminergic plexus innervates the area superficialis basalis and striatum, and in the diencephalon, where the inferior lobe is the most densely innervated structure. In the mesencephalon, the dopamine immunoreactive fibers are confined predominantly to the periventricular zone and lateral portions of the tectum.
Robot skill learning, basis functions, and control regimes

A computational, constructive theory of tunable, open loop trajectory skills is presented. A skill is a controller whose outputs achieve any of a family of tasks in a space characterized by n parameters, n>1. Learning consists of a search for the best skill output generation scheme. An interpretation process maps skill outputs into sequences of commands for the plant by using basis functions. It is claimed that appropriate basis functions can speed up the learning process and overcome the limitations of a linear trajectory tuning algorithm. A skill learning algorithm and experiments done with various basis functions for a one-dimensional throwing task are described. Table lookup alternatives and whether modifications might make them feasible in this domain are considered. <<ETX>>
ANALISIS DAN PERANCANGAN SISTEM PENUNJANG KEPUTUSAN WARGA MISKIN PENERIMA SKTM PADA PEMERINTAH KOTA JAMBI

Abstract Poverty Reduction Coordination Team (TKPK) is a part of the Regional Development Planning Board (Bappeda) Jambi City which always fix in the improvement of public services in every field, especially in the field of Social and Cultural Government is in touch with the public interest one of them, the acceleration of poverty in the city of Jambi.Certificate of Not Able (SKTM) is one of the government programs in handling poverty in Jambi City, in SKTM there is still a phenomenon where citizens who are financially or not included in the category of poor but get SKTM because there is no system that helps in the selection of citizens poor who will get social assistance. In this research resulted decision support system to be used in the selection of poor recipient SKTM by using the calculation of Method SAW (Sample Additive Weighting) by utilizing basic criteria of poverty of Jambi City that is aspect of income, residence, food, clothing, health, and social education Keywords: Poor people, TKPK, SKTM, Decision Support System, SAW.
An electricity market with a probabilistic spinning reserve criterion

This paper addresses the problem of reliability-constrained market-clearing in pool-based electricity markets with unit commitment. In general, probabilistic reliability criteria that implicitly set the reserve requirement are defined by the loss-of-load probability and by the expected load not served. As the computation of such metrics is complicated by their nonlinear and combinatorial nature, we introduce the notion of hybrid metrics based on the probabilities of loss-of-load due to single and double generation outages only. The reliability-constrained market-clearing problem can then be formulated as a mixed-integer linear program and solved with large-scale commercial solvers. Numerical tests with data from the IEEE Reliability Test System indicate that the new method is computationally efficient and produces market-clearing results with the desired probabilistic characteristics.
Targeting Abdominal Adiposity and Cardiorespiratory Fitness in the Workplace.

PURPOSE The prevalence of numerous chronic metabolic diseases is increasing worldwide with considerable personal and societal consequences. The aim of our study was to test the hypothesis that assessment of waist circumference (WC) and of cardiorespiratory fitness (CRF) could be relevant clinical targets of a simple preventive approach designed to improve cardiometabolic risk (CMR) profile at the workplace. METHODS A total of 787 employees participated in a pilot project of the "Grand Défi Entreprise. " This challenge involved a 3-month in-house competition to favor peer support in the adoption of healthier lifestyle habits. For that purpose, the participating companies offered a comprehensive cardiometabolic/cardiorespiratory health assessment performed at the workplace with a mobile risk assessment unit before and after the contest (nutrition/physical activity (PA) questionnaires, resting blood pressure (BP), anthropometric measurements, lipid profile, and submaximal treadmill test). RESULTS At baseline, more than 43% of workers were considered sedentary or moderately inactive (<3.5 h·wk of physical activity). Furthermore, the proportion of subjects in the high-risk category of nutritional quality index (NQI) was high (49%). After 3 mo, NQI and PA level improved. Reductions in WC (-4.2 ± 4.0 cm, P < 0.0001), in heart rate at a standardized submaximal workload (-4 ± 10 bpm, P < 0.0001) as well as in resting systolic (-6 ± 11 mm Hg) and diastolic (-4 ± 7 mm Hg) blood pressure were also observed. Improvements in WC and CRF were associated with improvements in the CMR profile. CONCLUSION Results of this study show the added value of measuring/targeting WC and CRF as a relevant approach to reduce CMR at the workplace. Results also suggest that putting in place a permissive "in-house ecosystem" within the company is relevant to promote the adoption of healthier lifestyle habits.
Modèle bayésien pour l'analyse multimodale d'environnements dynamiques et encombrés : application à l'assistance à la conduite en milieu urbain

La perception de l'environnement constitue un prerequis fondamental pour l'extension des systemes d'assistance actuels aux situations complexes de conduite induites par le milieu urbain. En particulier, le nombre et la dynamique des acteurs de la circulation rendent la poursuite multicible peu fiable, et par consequent le controle du vehicule impossible. Cette these presente une representation alternative de l'environnement du vehicule , qui evite les prises de decision prematurees de la poursuite multicible. Nous utilisons pour cela les grilles d'occupation de maniere originale. En particulier ces grilles portent sur l'espace d'etat des acteurs de la circulation (position et vitesse relative au vehicule), et sont egocentrees. L'absence de notion d'objet en tant que tel dans les grilles d'occupation permet de contourner les difficultes de la poursuite multi-objet. Un filtrage temporel inspire des filtres bayesiens est egalement ajoute a l'estimation des grilles pour prendre en compte la dynamique de l scene. Le document illustre de maniere incrementale les qualites de notre representation sur de nombreux exemples. Nous commencons par illustrer l'estimation statique de grille, lorsqu'un puis plusieurs capteurs fournissent une unique puis plusieurs observations. Par statique, nous entendons sans prise en compte de la dynamique de la scene. Le document illustre de manere incremantale les qualites de notre representation sur de nombreux exemples. Nous commencons par illustrer l'estimation statique de grille, lorsqu'un puis plusieurs capteurs fournissent une unique puis plusieurs observations. Par statique, nous entendons sans prise en compte de la dynamique temporelle de la scene. L'estimation dynamique est ensuite illustree en suivant la meme progression. Enfin, l'interet de cette representation dans le contexte automobile est montree par l'implementation d'un algorithme d'evitement de collisions sur le Cycab. Le controle du Cycab est alors effectue sans qu'aucune decision sur les objets n'ait ete prise.