Miracle-dz/UniFAR-FTUs huggingface dataset:
Map Reduce Framework Driven Apriori Algorithm Base Model of Opinion Mining for drug Review

Big data which is modern buzz word of computer science society is showing its presence in almost all the trades including medical domain. The mounting trend of blogging the opinions and feedbacks of used drug is turned to be good tool for researchers and patients to take confirmation of advantageous and disadvantageous about the consumption of drugs. The data extracted from blogs about various drugs and symptoms is a huge and turned to be a big data. So extracting use full information forma such data is a challenging task to data mining research community. Applying opinion mining concepts on map reduce frame work for drug review can lead to a useful platform to extract and answer needs of research community. We propose a map reduce framework driven apriori base model form retrieving information about various drugs and symptoms. The proposed work is extension to our previous work (1) on opinion mining of drug reviews. The proposed model is tested on WebMD blog reviews which shown the good results.
The GROMOS biomolecular simulation program package

We present the newest version of the GROningen MOlecular Simulation program package, GROMOS96. GROMOS96 has been developed for the dynamic modelling of (bio)molecules using the methods of molecular dynamics, stochastic dynamics, and energy minimization as well as the path-integral formalism. An overview of its functionality is given, highlighting methodology not present in the last major release, GROMOS87. The organization of the code is outlined, and reliability, testing, and efficiency issues involved in the design of this large (73 000 lines of FORTRAN77 code) and complex package are discussed. Finally, we present two applications illustrating new functionality: local elevation simulation and molecular dynamics in four spatial dimensions.
Visual Segmentation of “Simple” Objects for Robots

The ability to automatically segment a “simple”object of any size from its background is important for an active agent (e.g. a robot) to interact effectively in the real world. Recently, we proposed an algorithm [14] to segment a “simple”object in a scale invariant manner given a point anywhere inside that object. However, we did not provide a strategy to select a point inside a “simple”object in [14]. In this paper, we propose a new system that automatically selects the points inside different “simple”objects in the scene, carries out the segmentation process for the selected points, and outputs only the regions corresponding to the “simple”objects in the scene. The proposed attention mechanism for the segmentation problem utilizes, for the first time, the concept of border ownership [17].
NCSS: an effective and efficient complex network community detection algorithm

Community Detection has significant theoretical and practical importance. Global community detection algorithms can achieve high precision, but with worst-case time complexity. Local community detection algorithms mostly have low precision with poor stability. In this paper, a NCSS algorithm is proposed based on node centrality and the structural strength between nodes and local communities in a complex network. The NCSS algorithm ranks core nodes based on global information about the complex network. It then creates initial communities, which can overcome the instability disadvantage of random initial nodes in other local community detection algorithms. During the community-expansion process, the NCSS algorithm calculates only the structural relationship strength between the margin node and related local communities, thus reducing time complexity. Comprehensive experiments are conducted based on different benchmark networks and real complex networks. Typical global community algorithms and local community detection algorithms are selected for comparison. On real networks, the precision of the NCSS algorithm is increased by 6\% on average. On benchmark networks, the precision can be increased by as much as 18\%.
Economic impact of pharmacist interventions on correction of stress-related mucosal damage prophylaxis practice

Introduction Stress-related mucosal damage (SRMD) is described as the damage of gastric mucosa due to physiological stress that is a very common complication in critically ill patients. SRMD prophylactic medications are widely prescribed all over the world, while numerous studies have revealed that a large percentage of patients admitted to non-intensive care unit (ICU) services do not need to receive these medications. The aim of this study was to determine the frequency and type of medication errors and the economic impact of clinical pharmacist intervention on stress ulcer prophylaxis (SUP). Methods This prospective interventional study was conducted on adult patients admitted to internal, surgical, and critical care units at two large academic medical centers over 6 months. Risk factors of stress ulcer were recorded daily during hospital stay, and appropriateness of SUP administration was assessed according to the American Society of Health-System Pharmacists (ASHP) criteria. An intervention was performed by a clinical pharmacist in the case of contradictions. The rate of inappropriate SUP and the economic impact of a pharmacist intervention were recorded. Results In this study, 178 out of 219 (81.2%) patients received prophylactic treatments. Averagely, prophylactic therapy was compatible with standard treatment guidelines in 67.1% of cases. The implementation of ASHP guideline by a clinical pharmacist resulted in a cost saving of >18,000 USD monthly in this study, which would result in an estimated cost saving of >216,000 USD annually. Conclusion Although treatment guidelines are available for the prophylaxis of SRMD, failure to observe these guidelines could increase the cost of treatment and adverse effects. The clinical pharmacists’ intervention in order to implement standard protocols has a significant impact on the reduction of unintended mistakes in prescribing prophylaxis, as well as significant cost savings.
Computation with Spiking Neurons

We develop two artificial neural network models which use ‘spiking’ neurons to perform recognition and memory tasks. The first task studied is that of recognising spoken words. We present a network built from approximately 1000 biologically plausible integrate-and-fire neurons which was developed as the winning solution to an academic competition posed by John Hopfield and Carlos Brody. The network recognises a vocabulary of ten words, regardless of the speed at which they are spoken (‘time-warp invariance’). The network employs two key mechanisms: transient equality in the firing rates of subsets of neurons, and the inducement of synchrony among groups of weakly-connected neurons. In the remainder of the thesis we study an autoassociative memory. The network consists of a single layer of spiking neurons with recurrent time-delay connections. Each neuron is built from a number of coincidence detector subunits, and can be thought of as an approximation to a binary ‘sigma-pi’ unit. The network stores and recalls spatiotemporal spike sequences (patterns of neural activity over time). When stimulated with a noisy or incomplete version of a stored memory, the network will ‘clean up’ the memory and, if periodic spike sequences are used, repeatedly replay the corrected, completed memory. Unlike most memory models, the system is able to simultaneously recall more than one stored memory, using a single population of neurons. We explore the capacity properties of this ‘Concurrent Recall Network’. Using a mapping from real numbers to spatiotemporal spike sequences, we extend the Concurrent Recall Network into a line attractor memory. In this mode of operation, it is able not only to store individual memories (point attractors) but also a continuum of memories (a line attractor). After training, the network can stably recall the spike sequence corresponding to any point along the attractor. Furthermore, by applying a global ‘velocity control’ signal to all neurons in the network, we can cause the recalled state to drift along the attractor in a controlled fashion. Finally, we demonstrate the ability of the Concurrent Recall Network to store multiple line attractors, recall different positions along each attractor concurrently and independently move along each attractor.
Exploring Factors Influencing Antenatal Care Visit Dropout at Government Health Facilities of Dhanusha District, Nepal

Background: High maternal mortality rate is still a major public health issue in resource poor countries. In Nepal, the regional socio-economic disparity explicitly reflects inequalities in maternal health service utilization and differences in maternal mortality rate. Only about 50% of pregnant women complete four antenatal care visits. Nearly 80% delivery is still conducted at home in absence of trained health worker among Terai/Madheshi dalits communities in Nepal. The present study intended to explore the factors influencing antenatal care visit dropout at government health facilities of Dhanusha district in Nepal. Methods: This is a descriptive cross sectional study. A total sample of 206 women who had received at least 1st ANC check up from the government health facility during March 2014 to March 2015 were selected using multistage sampling procedure. Interview method was adopted and semi-structure questionnaire was used to gather the study data. Data analysis was carried out in SPSS 20. Ethical clearance was taken from Nepal Health Research Council Ethical Review Board. Results: Out of total 206 respondents 104 (49.52%) of respondents have completed four ANC visits and 106 (50.47%) respondents have not completed four ANC visits. The study confirmed the significant association of antenatal visit dropout with respondents education (OR= 2.22, 95% CI= 1.264-3.917), economic status (OR= 2.37, 95% CI= 1.264-4.462, dissatisfaction with the health service provided at public health facilities (OR=17.48, 95% CI=8.764-34.88), dissatisfaction with the information provided during ANC visit (OR= 0.167, 95% CI=0.092-0.303) and unreceptive attitude of health worker (OR=3.766, 95% CI=2.095-6.769) as major hindering factors among respondents for not attending four ANC visit at government/public health facilities in Dhanusha district of Nepal. Conclusion: The study suggests promotion of positive attitude and behavior of health workers towards clients and building trust on government health facilities from health care provider side are equally important to increase antenatal service utilization among rural pregnant women.
A Split Second of Celebration

Recently I was sitting in a brainstorming session in Alabama coming up with ideas for future community based participatory research (CBPR) and heard a comment that made my heart and soul leap for joy! The session was not a typical one where a bunch of academic types with terminal degrees like PhDs, MDs, or JDs sit around the table and review the literature on issues of interest, then strategize and plan out ideas and write a research proposal for future funding. Usually the person leading the efforts is thinking about how this grant will fit into their own academic career goals. Or sometimes, administrators at the university will see a grant proposal which can enhance funding for departments and individuals within the University. So a Dean or a Chair or Division head may send the proposal to certain faculty member to pursue. Even if it is a grant where community partners are required, the community may not initiate the plan; they are usually pulled in after discussions have gone on at the academic level with a variety of players.
Responders vs. Non-Responders to a Mail Survey: Are They Different?

Abstract: One of the major methods of data collection used in both formative and outcome evaluations and descriptive studies is the survey method. With survey methods, the issues of generalizability and representativeness of the data are crucial, particularly when response rates are low. A common survey method is the use of mailed questionnaires. However, even when care is taken to select potential respondents randomly, the validity of the responses depends on the willingness of all sectors of the population to respond. In most instances, no effort is made to follow up individuals who do not respond, to ensure that they do not differ on substantive issues from individuals who have responded. The authors describe the process of following up university students who chose not to respond to a mail survey of their life-styles and drug-use patterns, and a comparison of this group with a group of students who did respond to the initial request.
Microseismicity and faulting geometry in the Gulf of Corinth (Greece)

SUMMARY During the summer of 1993, a network of seismological stations was installed over a period of 7 weeks around the eastern Gulf of Corinth where a sequence of strong earthquakes occurred during 1981. Seismicity lies between the Alepohori fault dipping north and the Kaparelli fault dipping south and is related to both of these antithetic faults. Focal mechanisms show normal faulting with the active fault plane dipping at about 45° for both faults. The aftershocks of the 1981 earthquake sequence recorded by King et al. (1985) were processed again and show similar results. In contrast, the observations collected near the western end of the Gulf of Corinth during an experiment conducted in 1991 (Rigo et al. 1996), and during the aftershock studies of the 1992 Galaxidi and the 1995 Aigion earthquakes (Hatzfeld et al. 1996; Bernard et al. 1997) show seismicity dipping at a very low angle (about 15°) northwards and normal faulting mechanisms with the active fault plane dipping northwards at about 30°. We suggest that the 8‐12 km deep seismicity in the west is probably related to the seismic‐aseismic transition and not to a possible almost horizontal active fault dipping north as previously proposed. The diVerence in the seismicity and focal mechanisms between east and west of the Gulf could be related to the diVerence in the recent extension rate between the western Gulf of Corinth and the eastern Gulf of Corinth, which rotated the faults dipping originally at 45° (as in the east of the Gulf ) to 30° (as in the west of the Gulf ).
Experimental study on auto-focusing and ranging based on light-field imaging technique

In this paper, we present an auto-focusing and ranging method which is based on light-field imaging spatial refocusing principles and simulation algorithm. The clearest image could be chosen among the refocused image sequences by using image-resolution evaluation functions when we select the window of the object whose distance needs to be measured. Finally, we measure an object on the scene with the auto-focusing and ranging method and analyze its range and accuracy. The experimental results show that the auto-focusing and ranging method could obtain distance information of different objects using one-shooting light-field image and then measure the distances of two or more objects in one scene.
NONLINEARITY IN SITE RESPONSE -NONLINEAR VOLUMETRIC MECHANISM

Dry soil tends to resist isotropic compressive stress because contact forces between soil particles are mobilized during compression. However, when the dry soil is subject to tension, volumetric stretching (expansive) strain will be mobilized and eventually soil particles will lose contacts among themselves with no isotropic stress mobilized in the soil. In the field, gravity provides static compression stress in the soil. When subjected to a vertical motion, the confining pressure may increase or decrease depending on the change in volumetric strain induced by the vertical motion. When the motion is small, the mechanism may be approximated by a linear volumetric mechanism. However, when the motion becomes sufficiently large, the change in the confining pressure will cause volumetric strain beyond the limit where there will be no compressible stress. In this manner, the dry soil can exhibit nonlinear volumetric mechanism during earthquakes. The analysis of the asymmetric vertical motion with a peak acceleration of 4.0g recorded during the 2008 Iwate-Miyagi Inland, Japan, earthquake suggests that this type of nonlinearity in site response can result in significantly high peak acceleration in vertical motion.
Iranian high risk regions due to esophageal cancer: spatial analysis of cancer registry data

Aim: The aim of this study was to identify the esophageal cancer (EC) high risk regions to evaluate changes of relative risks (RRs) for both genders by time in Iranian provinces. Background: EC is one of the public health problems in Iran. In spite of this fact, there is not comprehensive study estimating RRs across the Iranian provinces. Methods: In this cross-sectional study the data for EC cases were extracted from Ministry of Health and Medical Education (MOHME) including 30 provinces from 2004 to 2010. For estimating the model parameters, we used Bayesian approach by regarding spatial correlations of adjacent provinces. Results: The Northern half of Iran has high risk and other half has low risk. During the time, the range of RRs has decreased for both gender and also the dispersion of EC is decreasing for women but nearly is fixed for men. Conclusion: While RR has declined during the study, focusing on the Northern half of Iran as high risk regions is a considerable fact for policymakers.
Lawrence Berkeley National Laboratory Recent Work Title An Improved Adaptive Multi-Start Approach to Finding Near-Optimal Solutions to the Euclidean TSP Permalink

We present an “adaptive multi-start” genetic algorithm for the Euclidean traveling salesman problem that uses a population of tours locally optimized by the Lin-Kernighan algorithm. An all-parent cross-breeding technique, chosen to exploit the structure of the search space, generates better locally optimized tours. Our work generalizes and improves upon the approach of Boese et al. [2]. Experiments show the algorithm is a vast improvement over simple “multi-start,” i.e., repeatedly applying Lin-Kernighan to many random initial tours. Both for random and several standard tsplib [5] instances, it is able to find nearly optimal (or optimal) tours for problems of several thousand cities in a few minutes on a Pentium Pro workstation. We find these results are competitive both in time and tour length with one of the most successful TSP algorithms, Iterated Lin-Kernighan.
Fluid Structure Interaction

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Sudden infant death syndrome, prematurity and sleeping position

Sudden infant death syndrome (SIDS), an unexpected death of an infant which remains unexplained after a thorough investigation, is the commonest cause of postneonatal mortality in the developed world. Prematurely born infants are at an increased risk of SIDS, particularly if they are slept prone. It is, therefore, important to understand why infants die of SIDS and the effects of prone sleeping position on prematurely born infants. Possible mechanisms of SIDS include failure to arouse, infection and genetic predisposition. Impaired arousal has been described during prone sleeping and in infants exposed to maternal smoking. Infection is associated with an increase in both duration and depth of quiet sleep and arousability is depressed. Infants may be at an increased risk of SIDS because of mutations leading to genetic disorders capable of causing death or having polymorphisms that might predispose to death in critical situations. The prone position has physiological advantages for prematurely born infants with and without respiratory distress in the immediate neonatal period. The few data on convalescent babies demonstrate prone posture has an advantage in improving oxygenation in infants with BPD, but is associated with less spontaneous arousals and more central apnoeas. These data emphasize that practitioners must emphasize to parents the importance of sleeping their prematurely born infants supine at the high-risk age for SIDS.
A nonparametric comparison of the structure of two multiple-regression prediction situations

1. INTRODUCTION Suppose we have samples from two populations in which we wish to study the relationship between a response variable Y and the regressor variables Xl' X 2 ,. , X m , The question of interest is whether the two populations are "similar" with respect to predicting Y from the XIS. By this, however, we do not mean that the regression aoeffiaients must be similar; the observable variables may only be proxies for unobservable underlying variables, measured on different scales. Rather, we are concerned with the ordering of the XIS by importance. One way of establishing an ordering of the XIS is by performing a stepwise regression. This may be either forward selection or backward elimination, but we shall assume that once a variable is added it cannot later be dropped, or once eliminated it cannot be restored. Thus we produce a ranking of the XIS in each sample, and the similarity of the two populations can be measured by the corresponding rank correlation. As we see it, however, the standard rank correlation coefficients are not ideal for this purpose, because they give equal weight to all the observations. For example, suppose we have three regressors Xl' X 2 , X 3 , and in one sample the stepwise procedure selects them in precisely that order. Consider two cases for the order in the second sample: (a) Xl' X 3 , X 2 , and (b) X 2 , Xl' X 3. Either of these cases produces the same rank correlation by the usual methods. Surely, however, it is reasonable to say that case (a), where the two samples agree on the first regressor, represents more similarity between the samples than case (b), where they disagree on the first regressor and agree instead on the last. Thus we seek a rank correlation coefficient which gives ~ greater weight to the observations of low rank than those of high rank. II if max (R i l , R i2) ~ k T ki = lo otherwise , and Then T k is the number of regressors which the two regressions have in common at the k-th step. Intuitively, T k mea,sures the similarity of the two populations at the k-th step of the regressions. If the two populations were identical we would expect T = k k for k=l, . ,m as the most likely result. Alternatively, if …