Miracle-dz/UniFAR-FTUs huggingface dataset:
Safety of herbal remedies.

Kava-kava, ginseng, St. John’s wort, green tea, just to name a few. Herbs and natural remedies—what’s it all about? Over 20,000 herbal and other natural products are available in the United States. Between 1990 and 1997, the use of herbal products increased 380% and an estimated $27 billion was spent in 1997 on alternative medicine. One report indicated that 60 million Americans over the age of 18 years have used herbs for general health maintenance (Eisenberg et al., 2000). There are several factors contributing to the increased use of herbal remedies: the perception that herbs are natural and safe; the use of herbal remedies as an alternative to the high cost of prescription drugs; family history of use of home remedies; media mass marketing; and misleading claims of efficacy (Durant & Wang, 2000). During this growth period, concerns have been raised about adequate research supporting efficacy claims and lack of uniform product standardization (Eisenberg, et al.). A comparison of natural plant chemicals and pharmaceuticals shows they often work on the same physiologic pathways and are effective for the same principles. One big difference is that phytochemicals work along several circuits simultaneously and naturally where the pharmaceutical is a single substance that works on one or two circuits. It’s the difference between a bullet and a shotgun blast, according to Dr. James Duke (1998). Pharmaceuticals are bullets. They are precision-targeted, yet have no regard for how they might disrupt the rest of the body. Herbs are shotgun blasts that contain thousands of naturally active phytochemicals. Some herbs will help with a correctly diagnosed ailment, others will help with undiagnosed and unknown problems, and still others are just plain good for you and you might need them anyway. The German government has established a panel of experts called the Commission E, that have evaluated more than 300 medicinal plants specifically to give doctors and consumers therapeutic guidance in how to safely and most effectively use herbs. The entire collection of reviews has been translated into English by the American Botanical Council and gathered into a book. These German Commission E Monographs have quickly become a standard reference for herbal remedies (Blumenthal, Klein & Hall, 1998). It is important to acknowledge that some herbal products have pharmacologically active chemical constituents, and, in essence, are drugs. Herbal products cannot be discounted as “natural” or nontoxic entities as many consumers believe. Although selected products may have therapeutically beneficial effects, many can cause adverse effects and drug interactions similar to those experienced with conventional agents (Durant & Wang, 2000). The effects from herbal remedies can be divided into intrinsic and extrinsic effects. Intrinsic effects are due to dose-related toxicity, interactions with other substances, and idiosyncratic reactions. Extrinsic effects are due to lack of standardization, substitution, and misidentification or mislabeling. Complementary Therapies
Laboratory Directed Research and Development Modeling Conformational Ensembles of Proteins and Complexes Summary of Proposal

nor their employees, makes any warranty, express or implied, or assumes any liability or responsibility for accuracy, completeness or usefulness of any information, apparatus, product or process disclosed, or represents that its use will not infringe privately owned rights. Mention of any product, its manufacturer, or suppliers shall not, nor it is intended to imply approval, disapproval, or fitness for any particular use. A royalty-free, non-exclusive right to use and disseminate same for any purpose whatsoever, is expressly reserved to the United States and the University. Abstract We propose to develop a computational method to build challenging, high impact protein structures into medium to low resolution crystallography, SAXS and nano-crystallography data, and provide insight into conformational dynamics. The program will provide structural biology researchers with a tool of major scientific potential while enhancing the lab's mission readiness in data analysis and scientific computing.
Thaitement antipsychotique et syndrome du QT long acquis médicamenteux

la prévalence est élevée (entre 0,5 et 1 % de la population selon les études). Le suivi au long cours de cette affection constitue une des activités les plus importantes des services de psychiatrie, l’omnipraticien étant confronté au quotidien à la surveillance des traitements antipsychotiques. L’utilisation depuis 40 ans des neuroleptiques, et plus récemment des antipsychotiques atypiques, a considérablement amélioré le pronostic spontané de la maladie, dont le cours était autrefois surtout asilaire. Ces médicaments ont largement contribué au mouvement de réhabilitation sociale des patients, à l’allègement de leur souffrance morale et de la détresse fréquente de leur entourage.
Modelling calving and sliding of Svalbard outlet glaciers

Vallot, D. 2017. Modelling calving and sliding of Svalbard outlet glaciers. Spatio-temporal changes and interactions. Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 1606. 82 pp. Uppsala: Acta Universitatis Upsaliensis. ISBN 978-91-513-0170-9. Future sea level rise associated to global warming is one of the greatest societal and environmental challenges of tomorrow. A large part of the contribution comes from glaciers and ice sheets discharging ice and meltwater into the ocean and the recent worldwide increase is worrying. Future predictions of sea level rise try to encompass the complex processes of ice dynamics through glacier modelling but there are still large uncertainties due to the lack of observations or too coarse parameterisation, particularly for processes occurring at the glacier interfaces with the bed (sliding) and with the ocean (calving). This thesis focuses on modelling these processes from two marine-terminating glaciers in Svalbard, Kronebreen and Tunabreen. By inverting three years of high temporal resolution time-series of surface velocities on Kronebreen, basal properties are retrieved with the ice flow model Elmer/Ice in Paper I. Results suggest that surface melt during the summer greatly influences the dynamics of the following season and that sliding laws for such glaciers should be adapted to local and global processes changing in space and time. The subglacial drainage system, fed by the surface melt, is modelled in Paper II during two melting seasons. Results show different configurations of efficient and inefficient drainage systems between years and the importance of using a sliding law dependent on spatio-temporal changes in effective pressure. The interaction with the ocean is incorporated in Paper III by combining a series of models, including an ice flow model, a plume model and a particle model for discrete calving and compares the output with observations. Results show the importance of glacier geometry, sliding and undercutting on calving rate and location. However, more observations and analytic methods are needed. Timelapse imagery placed in front of Tunabreen have been deployed and a method of automatic detection for iceberg calving is presented in Paper IV. Results show the influence of the rising plume in calving and the front destabilisation of the local neighbourhood.
SISTEM INFORMASI KEGIATAN AKADEMIK UNTUK AKREDITASI PROGRAM STUDI BERBASIS WEB STUDI KASUS PROGRAM STUDI MANAJEMEN SUMBERDAYA PERAIRAN - IPB

One of the activities Tridharma in Education / Teaching, not apart than the role of the use of information technology. It also affects the emerging and the tendency of students and alumni of the college came again alma mater, in addition to a meeting with the lecturers in college, just to meet with the brothers of his class, but the fact that there are currently alumni seeking information about the ratings accreditation almameternya. Information on the rank of accreditation is very necessary because some companies or agencies that housed the college graduates has made the rank of accreditation as one part / indicators to notice the quality of job seekers to see the condition of his alma mater in advance, also occur when prospective freshmen who want to enter a university to ask about accreditation ranked universities. In this regard, to rank the accreditation of the university in this program of study that is necessary to rank the quality assessment of the implementation of its accreditation with the capacity Tridharma program conducted by the National Accreditation Board of Higher Education (BAN-PT). Determining the level of accreditation ratings of a particular course is based on an assessment of the evidence relating to the standards set by BAN-PT. Evidence written report is required and prepared by the study program to be accredited, verified and validated through field visits or assessment by a team of assessors. To apply information technology in the process of implementation of accreditation by the assessor and assist and facilitate the drafting team accreditation, it places a computerized system. In this research study using a waterfall methodology, system design uses a data flow diagram. The research resulted in the main menu which consists of a Master Menu consists of Lecturers and Employees, Menu and Menu
Multimodal Biometrics Recognition from Facial Video via Deep Learning

Biometrics identification using multiple modalities has attracted the attention of many researchers as it produces more robust and trustworthy results than single modality biometrics. In this paper, we present a novel multimodal recognition system that trains a Deep Learning Network to automatically learn features after extracting multiple biometric modalities from a single data source, i.e., facial video clips. Utilizing different modalities, i.e., left ear, left profile face, frontal face, right profile face, and right ear, present in the facial video clips, we train supervised denosing autoencoders to automatically extract robust and non-redundant features. The automatically learned features are then used to train modality specific sparse classifiers to perform the multimodal recognition. Experiments conducted on the constrained facial video dataset (WVU) and the unconstrained facial video dataset (HONDA/UCSD), resulted in a 99.17% and 97.14% rank-1 recognition rates, respectively. The multimodal recognition accuracy demonstrates the superiority and robustness of the proposed approach irrespective of the illumination, non-planar movement, and pose variations present in the video clips.
Technology of texture feature extraction based on wavelet

The texture is a kind of district feature,is a kind of description of distribution for image each space that resembles.Because the texture can make use of the image information well,regardless from theoretically or the common sense it should become the important theory to describe and identify the image.Compared with other image feature at the same time,it can look after both sides of the mac-roscopic kind and the micro configuration,for this reason texture analysis becomes the important means in image analysis.It is applied in many fields such as weather cloud diagram analysis,the satellite far feels image analysis,the robot sense of vision,industry supervises and control,a view analysis,assistance the medical treatment,biology organizes and cell's photo analysis and military target analysis.
Does artificial grass affect the competitive balance in major league soccer

In this study I present cause for concern that Major League Soccer teams with an artificial grass (AG) home playing surface may possess an advantage over visiting teams used to playing on grass. I develop a theoretical model predicting the outcomes we should observe if teams with AG possess a competitive advantage. Using match-level data from the 2011–2014 Major League Soccer regular seasons, I find that conditional on attendance, distance traveled, and the difference in talent between the two teams, AG is uncorrelated with the final outcome of a match and the number of goals scored by each team. This suggests that AG does not affect the competitive balance in Major League Soccer.
What Guides the Guidance? An Empirical Examination of the Dynamic Disclosure Theory

I develop and explore a new dimension of earnings guidance – guidance consistency. Contrary to the conventional wisdom that managers make an independent guidance decision each period, I find empirical support for the dynamic disclosure theory, which argues that managers consider past and future guidance when they decide on current guidance. Once I account for past guidance in a logistic model, several known guidance determinants are no longer significant in explaining management guidance decisions. In contrast, past guidance remains significant both statistically and economically across various specifications, suggesting that management guidance decisions are largely predetermined. Moreover, the guidance consistency measure is more robust than the conventional frequency-based “habitual” variable in explaining future guidance. The results still hold in a Heckman selection model and after propensity score matching, mitigating the concern that guidance consistency is merely driven by firms operating in stable environments.
Spiritualität - Sozialwissenschaftliche Perspektiven

Abstract Spirituality is a contentious concept in the social sciences. This is above all due to the increasing number of different definitions of spirituality that are used in the field. Some scholars argue that given this heterogeneity, spirituality is not an analytic concept. Scholars use the concept to denote forms of belief that are not part of conventional religiosity. Therefore, spirituality refers to transformations of religion in modern societies. This paper shows that spirituality is generally defined in relation to religion or religiosity. Thus, different concepts of spirituality can be distinguished according to the way they draw the boundaries between religiosity and spirituality. This approach reveals the most important communalities and differences of different perspectives on spirituality as a scientific concept which allows a better assessment of empirical results from research on spirituality.
3G WCDMA Mobile Network DoS Attack and Detection Technology

Currently, there has been a 3G mobile networks data traffic explosion due to the large increase in the number of smartphone users. Unlike a traditional wired infrastructure, 3G mobile networks have limited wireless resources and signaling procedures for complex wireless resource management. And mobile network security for various abnormal and malicious traffic technologies was not ready. So Malicious or potentially malicious traffic originating from mobile malware infected smart devices can cause serious problems to the 3G mobile networks, such as DoS and scanning attack in wired networks. This paper describes the DoS security threat in the 3G mobile network and proposes a detection technology. Keywords—3G, WCDMA, DoS, Security Threat
THE EFFECT OF COLLABORATIVE ASSESSMENT IMPLEMENTATION IN COOPERATIVE LEARNING TO IMPROVE THE STUDENTS’ MATHEMATICAL DISPOSITION AND SELF REGULATED LEARNING

The implementation of a good learning assessment is not only regarded as teacher’s activity but also as collaboration between teacher and students. This research aims to analyze the difference of students’ mathematical disposition and self regulated learning as well as their effects toward the students’ achievement. The population of this research was the students of mathematics department of mathematics and natural sciences faculty Semarang State University in the academic year 2012/2013 who took Calculus subject. We randomly selected three classes among five classes available. Two classes were treated as experiment classes while the other was the control class. The data was analyzed using two ways analysis of variance and multiple linear regressions. The result of testing the hypothesis 1, hypothesis 2, hypothesis 4, and hypothesis 5 were rejected, while the hypothesis 3 was accepted. The conclusion of this research was that the implementation of collaborative assessment in cooperative learning in order to improve the students’ mathematical disposition and self regulated learning has not been effective yet.
WiFi emission-based vs passive radar localization of human targets

In this paper two approaches are considered for human targets localization based on the WiFi signals: the device emission-based localization and the passive radar. Localization performance and characteristics of the two localization techniques are analyzed and compared, aiming at their joint exploitation inside sensor fusion systems. The former combines the Angle of Arrival (AoA) and the Time Difference of Arrival (TDoA) measures of the device transmissions to achieve the target position, while the latter exploits the AoA and the bistatic range measures of the target echoes. The results obtained on experimental data show that the WiFi emission-based strategy is always effective for the positioning of human targets holding a WiFi device, but it has a poor localization accuracy and the number of measured positions largely depends on the device activity. In contrast, the passive radar is only effective for moving targets and has limited spatial resolution but it provides better accuracy performance, thanks to the possibility to integrate a higher number of received signals. These results also demonstrate a significant complementarity of these techniques, through a suitable experimental test, which opens the way to the development of appropriate sensor fusion techniques.
Household energisation in rural South Africa: A systems approach towards energy access

In South Africa, household electrification has improved significantly since the dawn of independence, with the current national electrification rate at 87%. However, poor households in rural communities, informal urban settlements and low-income urban Townships still rely heavily on traditional fuels to meet their basic energy needs. The majority of these households are energy poor, as they tend to expend a higher proportion (> 10%) of their disposable income on energy services. The continued use of traditional fuels is associated with health challenges including asphyxiation, upper and lower respiratory complications, and mortality. Notwithstanding the benefits of household electrification in rural areas, there is a great need to consider other cheaper alternative energy sources, as the cost of electricity tends to limit its use. Household “energisation” instead of “electrification” has the potential to provide households with access to clean renewable energy sources at minimal cost. Effective household energisation employs a systems approach towards a more comprehensive energy access strategy of meeting households' energy needs using a suite of locally available renewable energy carriers. Energy options available for rural communities are assessed using a ‘systems thinking’ approach.
Detection Performance of a Forward Scatter Radar Using a Crystal Video Detector

The forward scatter radar (FSR) configuration is especially appealing for the detection of low-observable targets since it provides well-known properties for the radar cross section, which includes enhancements with respect to the monostatic and/or moderate bistatic configurations, as well as robustness to the target material and detailed geometrical characteristics. Due to the separation of a transmitter and a receiver, it is customary to use a detection scheme based on a square-law envelope detector followed by an appropriate matched filter, which we address as a crystal video detector (CVD) based on traditional terminology. This paper provides an accurate analytical expression for the detection performance of the FSR target detection using the CVD in terms of both the probability of false alarm <inline-formula><tex-math notation="LaTeX">$(P_{{\rm{fa}}})$</tex-math></inline-formula> and the probability of detection <inline-formula><tex-math notation="LaTeX">$(P_{{\rm{d}}})$</tex-math></inline-formula> in order to support performance prediction and FSR system design. The derived expressions are validated by comparison to Monte Carlo simulations under two different geometrical scenarios. Moreover, the comparison of the CVD performance to an ideal optimum detector (upper bound for the FSR achievable detection performance) shows the geometrical conditions, where the CVD suffers significant detection losses so that alternative detectors should be investigated. Finally, to remove the need to operate the CVD with a fixed detection threshold, two fully adaptive detectors are derived, based on the structure of the CVD scheme, which are shown to provide a constant false alarm rate (CFAR). The performance of these CFAR detectors in terms of <inline-formula><tex-math notation="LaTeX">$P_{{\rm{fa}}}$</tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX">$P_{{\rm{d}}}$</tex-math></inline-formula> are provided in closed form and validated through Monte Carlo simulations, showing quite small losses with respect to the fixed-threshold CVD. The application to real data acquired by a passive FSR based on frequency-modulated signals is used to show the practical effectiveness and consistency.
Effect Of body bias and temperature on snapback for a SOI-LDMOS transistor

In this paper we have addressed the effect of body bias (both forward and reverse bias) and temperature on snapback voltage in a Silicon On Insulator Lateral Diffused MOS (SOI-LDMOS) transistor for the first time. Controlled simulation experiments have been carried out on a representative LDMOS structure to develop physical insight regarding the effect of body bias on the device characteristics. For temperature effect, only the temperature dependence of IDS-VDS characteristics has been presented. The simulation results are expected to be useful for developing analytical model capable of including bias and temperature dependences and validating prevailing models. The forward body bias assists the parasitic bipolar transistor to turn on in lower drain to source voltage and reduces snapback voltage from ∼ 50V to ∼20V for the dimension and parameters given in Table 1. However, the snapback voltage is increased slowly in reverse body bias. Depending on application, optimum snapback voltage may be tuned by varying the body bias. The snapback voltage hardly changed with the temperature variation from 250C to 1250C.
Aggregation of reversal invariant features from edge images for large-scale trademark retrieval

Trademark retrieval is of wide application in many fields and has motivated lots of researchers to study on it. In this paper, we proposed a pipeline of trademark retrieval method including three steps: extraction edge, split image into significant components and extract enhanced SIFT features. Our work firstly proposed extracting features from trademarks' edge images, which can obviously boost the retrieval performance. Moreover, we proposed a simple but effective algorithm which can split trademark images into several significant components, this step is important so as to tackle the local similarity problem in trademark retrieval task. Then we extract reversal invariant SIFT features from these components images with Fisher Vector (FV) aggregation step. We conducted our experiments on a large-scale and challenging trademark dataset METU v2, results show that our proposed method based on hand-craft features even outperform the methods based on deep learning methods (CNN mainly) and achieve the state-of-the-art performance.