Miracle-dz/UniFAR-FTUs huggingface dataset:
Komplikationen, subjektive Zufriedenheit und sexuelles Erleben nach geschlechtsangleichender Operation bei Mann-zu-Frau-Transsexualität

Übersicht: Es liegen nur wenige aktuelle Forschungsergebnisse zu ge-schlechtsangleichenden Operationen vom Mann zur Frau vor. In der vorliegenden Studie wird das Ziel verfolgt, Komplikationen, subjektive Zufrieden-heit und Sexualleben nach der Operation zu untersuchen. Hierzu wurden retrospektiv die Akten von 106 operierten Mann-zu-Frau-Transsexuellen ausgewertet. 52 Patientinnen füllten darüber hinaus einen Katamnese-bogen mit Fragen zu unterschiedlichen Aspekten der Geschlechtsanglei-chung aus. Wundheilungsstörungen und Meatusstenosen sind die häufigs-ten leichten Komplikationen. Bei etwa 20% der operierten Personen treten schwerere Komplikationen auf. Etwa 80% der Patientinnen sind mit ihrer Lebenssituation nach der Operation zufrieden, mehr als 90% mit dem Ergebnis der Operation. Hingegen sind nur 60% der Patientinnen mit ihrem Sexualleben nach der Operation zufrieden. Etwa 75% nehmen sexuelle Kon-takte auf, eine Orgasmusfähigkeit ist bei 89% gegeben. Schlüsselwörter
Comparison of Different-Image Fusion Techniques in Wavelet Domain

This paper reviews comparison of different image fusion methods in transform domain. Image fusion is defined as a process of fetching up entire relevant information through multiple photographs and integrating into a single image. This combined image has all the relevant information and is more accurate and informative than any of the original images. The key objective of image fusion is to create a one photograph through all the pertinent data from many images. Hence, compared to any previous photograph, the current one provides a more precise illustration of the arena. The fused picture become more useful and has wide range of application in different areas, so fusion of image is very necessary to find minute information which is present on different picture. The purpose of this paper is to create fused images based on different image fusion techniques and compare the results. Additionally, this paper also provides measurements of quality of the fused images by using two quality indicators namely Peak Signal to Noise Ratio (PSNR), and Mean Square Error (MSE).
Forecasting Time-Varying Correlation using the DCC Model

Hedging strategies have become more and more complicated as assets being traded have become more interrelated to each other. Thus, the estimation of risks for optimal hedging does not involve only the quantification of individual volatilities but also include their pairwise correlations. Therefore a model to capture the dynamic relationships is necessary to estimate and forecast correlations of returns through time. Engle’s dynamic conditional correlation (DCC) model is compared with other models of correlation. Performance of the correlation models are evaluated in this paper using only the daily log returns of the closing prices from January, 2000 to February, 2010 of the Peso-Dollar Exchange Rate and Philippine Stock Exchange index. Ultimately, Engle’s DCC model is adopted because of its consistency with expectations. Though generally negative, correlation between these two returns is not really constant as the results indicated. The forecast evaluation of the models was divided into in-sample and out-of-sample forecast performance with short-term (i.e., 22-day, 60-day, and 125-day) and medium-term (250-day and 500-day) rolling window correlations, or realized correlations, as proxies for the actual correlation. Based on the root mean squared error and mean absolute error, the integrated DCC model showed optimal forecast performance for the in-sample correlation patterns while the mean-reverting DCC model had the most desirable forecast properties for dynamic long-run forecasts. Also, the Diebold-Mariano tests showed that the integrated DCC has greater predictive accuracy in terms of the 3-month realized correlations than the rest of the models.
High Data Rate Wireless Communication Test bed Frameworks- Insights into Design Aspects

With the explosive expansion of wireless communication and its continuously evolving systems, design of emerging solutions require appropriate mechanisms of testing, validation and verification. In this respect, a frequently adopted option is design of test beds to validate algorithms and implementation aspects. Some of the currently available test beds have evolved into reliable platforms of design formulation and validation. Here, we provide certain insights into the design of test beds related to high data rate wireless systems with focus on multi input multi output (MIMO) based systems. We review some of the relevant details of a few known designs and outline certain issues and challenges related to design of test beds that serve as proof of concept platforms for emerging technologies. KeywordsDSP, FPGA, MIMO, MU-MIMO, LTE, Wireless
CO2 ABATEMENT AND TRADE WITH ECONOMIC GROWTH IN THE LONG TERM: EXPERIMENTAL ANALYSIS

So as to stabilize the atmospheric greenhouse gas concentrations at tolerable levels, global emissions should dramatically be reduced soon within this century. To achieve this end, a long term global cooperation and developing country participation is essential. In this paper, we take the “Contraction and Convergence” framework first proposed by the CSE (Center for Science and Environment) of India as one possible treaty and investigate the long term abatement and trading behavior of countries with economic growth. Dynamic simulation based economic experiments is the method. Seven countries with potential buyers and sellers trade permits in the global market for 25 years. For each simulated year, asks and bids of the countries /regions are collected and permit prices are set at the equilibrium price. In the first treatment, annual national quotas expire each year and the countries cannot save their allowances. In the second treatment, the countries are allowed to transfer quota surplus /deficit up to 30 /20 percent of their annual emissions to the next year. One hypothesis is that, neither the developed nor the developing countries will make sufficient timely reductions and they will create unanticipated costs for their economies as the quota prices increase over the years. An implication of this result is global cooperation being threatened under more stringent reduction requirements and increasing costs of compliance.
Simulation from Schematics: Dorsal Stream Processing and the Perception of Implied Motion

Schematic language (e.g., prepositions) and depictions (e.g., line drawings) reduce the rich detail of the visual world to a coarser level of description. We investigated how these schematic forms may be represented in the brain. Recent neural evidence suggests that such representations may be computed in the dorsal pathway of the visual system, the same pathway involved in processing motion, including simulated motion in static scenes. Drawing on this association, we examined the stimulus conditions and mental sets that give rise to simulation, and by hypothesis, representations in the dorsal stream. Simulated motion was evident for scenes that were highly schematic, as opposed to highly realistic (Experiment 1), and when realistic scenes were processed schematically (Experiment 2). The results suggest that dorsal stream representations capture the schematic aspects of visual experience, rather than more fine-grained information. In affording simulation, these representations may facilitate certain types of reasoning and inference.
Taming Tsunami of Data by Principles of Inventory Management

Challenges with exponential growth of electronic data are being recognized in the world. Such challenges have been observed symmetrical to the challenges of human population growth and physical inventory growth in industrialized world. A policy frame work for selective retention of data has been presented to challenge existing paradigm of “Digitize all, Store all, for ever” . Parallels are drawn from principles of material inventory management for maintaining narrow band of data for perennial cost benefits and availability of data with high quality. An approach based of 25/25 principle is also presented to make immediate beginning.
Synthesis of Novel Fluorine-Free Salts for Battery Electrolytes

Nowadays lithium-ion batteries (LIBs) are the dominant power sources of portable electronic devices such as mobile phones, laptops and cameras. Although recently their applications have extended to areas of electromobility and hybridization of vehicle, cost and safety issues remain as big obstacles for a smoother implementation. One particularly problematic aspect of conventional LIBs is the electrolytes which typically composed of fluorinated lithium salts (e.g. LiPF6) and organic solvents. While the former is meta-stable at room temperature, quite expensive to synthesis and unsafe in the presence of moisture, the latter have high vapor pressure and are also flammable. Therefore, design and development of more stable salts and electrolytes are highly desirable, especially in the light of increased use of battery technology in e.g. electric vehicles (EVs). In order to mitigate the challenges with the current fluorine containing electrolytes, a concerted effort was set out on the synthesis and evaluation of a new class of fluorine-free lithium and sodium salts based on pseudo-delocalized concept. Four different electrolyte concepts include: aqueous, solid state, water-in-bisalt (WiBS) and ionic liquid based, containing these anions were proposed for lithium-ion and sodium-ion batteries for the first time. In this thesis, ten novel non-fluorinated lithium and sodium electrolyte salts based on pyridinium and ammonium pseudo-delocalized concept were synthesized and fully characterized by analytical methods such as NMR, mass spectroscopy and elemental analysis. Further, it was also attempted to present the applied synthetic methods for other pseudo-delocalized anions based on imidazolium and ammonium salts and highlight the challenges and limitations which persist during the synthesis processes of these salts.
Framing ‘Rational Use of Medicines’: Comparative Content Analysis of Turkish Public and Private Sector’s Health Communication Campaigns

Irrational use of medicines is a global and multi-causal public health issue. This paper aims to examine how the rational use of medicines (RUM) has been promoted to persuade publics in Turkish public and private sector‟s health communication campaigns. To this end, a comparative content analysis of various messages designed by Turkish national health agencies (Turkish Ministry of Health, Turkish Ministry and Labour and Social Security), hospitals, and pharmaceutical companies has been conducted. This study revealed that, loss frame and individual responsibility are mainly applied by these parties in framing their messages, wherein consumers are the key audience. Nevertheless, a wider range of audiences and stakeholders have also been targeted by the government agencies. On the other hand, this paper also discusses public vs. private interest served on these messages according to the campaign rationales, and also attributed responsibility of the irrational use of medicine.
DOM_CLASSI: An Enhanced Weighting Mechanism for Domain Specific Words Using Frequency Based Probability

The information Age has created great opportunities and challenges. Information is continuously increasing day by day with flood of online reviews, blogs, chat and news. The users increasingly use social media sites to connect and share sentiments related to events and products anywhere and anytime. Twitter is one of the top most social media site. Twitter is considered as important source of information in sentiment analysis applications. Domain specific words all have the same polarity class in sentiwordnet. Therefore, identification of such words is required for sentiment classification. This paper aims to create the domain specific classifier to update the sentiment polarity and increase the classification accuracy.
Interrelation of the attitude to time, proactive coping behavior, and burnout syndrome among teachers of the higher school

The article is devoted to the study of interrelations of the attitude to time, proactive copying behavior and burnout syndrome among teachers of the higher school. Today, the system of the higher education in Russia is at the stage of intensive development and reformation. Professional activity of the higher school teachers belongs to the most psychologically tensed kinds of social activity, and is among occupations with the highest risk of the burnout syndrome. The results of this research have shown that professional burnout among teachers was expressed in a moderate degree. Their copying strategy of “avoidance” is associated with a negative attitude to the past. Proactive copying behavior and low level of burnout are connected with the positive assessment of the present and future time.
Should I stay or should I go? Multiple option valuation based on LSMC for life insurance contracts

Life insurance contracts typically possess various embedded options. We focus on common options with early exercise features such as paid-up options, resumption options, surrender options and combinations among them. Contrary to the existing literature, showing these options value little under a deterministic-term structure, we demonstrate the situation changes dramatically whenever stochastic interest rates are introduced. With two stochastic sources (asset and interest rates), deriving optimal stopping strategies for multiple options becomes complex. Therefore, in this paper, an extension of the least squares Monte Carlo method (LSMC) is developed to allow valuation of these multi-feature options.
The Social Dynamics of Stigma∗

The dynamics of social stigma are explored in the context of diffusion models. Our focus is on exploring the dynamic process through which the behavior of individuals and the interpersonal relationships among them influence the macrosocial attitude towards the stigma. We find that a norm of tolerance is best promoted when the population comprises both those whose conduct is driven by compassion for the stigmatized and those whose focus is on conforming with others in their social networks. A second finding is that less insular social networks encourage destigmatization when most people are compassionate but it is instead more insularity that promotes tolerance when society is dominated by conformity. ∗The first author would like to thank Phil Manning for many stimulating lunch conversations on Goffman and sociological theorizing in general. Jim Chriss has provided valuable insights into the literature on social interaction and influence. We thank the discussants and the participants for their comments at the 7th Northeast Ohio Economics Workshop (Cleveland State University), International Congress on Agent Computing (George Mason University), and 43rd Eastern Economic Association Meetings (New York). The comments of Marcos Fernandes were particularly helpful. Finally, we owe a special thanks to Hugh MacMullan of Wharton Computing for his technical support during the simulation stage of the project. †Department of Economics, Cleveland State University, Cleveland, OH 44115; m.chang@csuohio.edu ‡Patrick T. Harker Professor, Deparment of Business Economics & Public Policy, The Wharton School, University of Pennsylvania, Philadelphia, PA 19104; harrij@wharton.upenn. edu
Intra-Horizon Risk

The concepts of tracking error and value-at-risk (VaR) are widely adopted as risk management measures within the investment community. However, they are not free of criticism. For example, both tracking error and VaR have been criticized widely in the literature for the lack of information they provide about tail risk. One of the key assumptions underlying both tracking error and VaR is that security or portfolio returns are Normally distributed. The distributions of return observed in markets – particularly at higher frequencies such as daily or intra-day – are nonNormal; they exhibit fat tails and often skew. The use of a measure that relies upon the Normal distribution therefore underestimates the size of the possible loss to the extent that the actual distribution deviates from Normal. Various measures have been proposed to resolve that issue.
Bioelectrochemical Upgrading of Anaerobic Digestion Biogas

Synopsis The objective of this presentation is to review the potential of bioelectrochemical systems (BES) to increase the anaerobic digestion biogas methane (CH4) content in a process termed “biogas upgrading”. The presentation includes the following: a) brief introduction to anaerobic digestion with focus on biogas composition; b) technologies for carbon dioxide (CO2) capture, conversion and valorization; c) brief review of BES with focus on factors affecting BES performance; d) brief review of two current studies highlighting the effect of pre-enriched biocathode inoculum and hydrogen sulfide (H2S) on biocathodic conversion of CO2 to CH4; and e) summary of observed methanogenic BES performance and remaining challenges needed to be addressed before such systems are considered for industrial applications.
Pharmacodynamic Study on Removing Blood Stasis and Stopping Bleeding for Extracts of Euonymus fortunei and Euenymus hederaceus

Objective:To investigate the effects of Euonymus fortunei.extract(EF) and E.hederaceus extract(EH) on removing blood stasis and stopping bleeding.Method:Kunming mice were randomly divided into eight groups:EH and EF treatment(32.0,16.0,8.0 g·kg-1,ig) groups,aspirin(100 mg·kg-1,ig) group and control group,ig,the anticoagulant effect of EH and EF was observed by measuring blood coagulation time in mice with capillary tube method.In another study,Kunming mice randomly divided into nine groups:EH and EF treatment(32.0,16.0,8.0 g·kg-1,ig) groups,Fufang Fufangteng mixture(bainianle)(5.2 g·kg-1,ig)group,model group and control group,to observe the changes of WBC,RBC,Hb level.Wistar rats were randomly divided into nine groups:EH and EF treatment(32.0,16.0,8.0 g·kg-1,ig) groups,Fufang Dansen tablet(0.6 g·kg-1,ig)group,model group and control group.Rat model of acute blood stasis syndrome was established to observe the influence of EF and EH on hemorheological parameters.Result:Under the doses of EH(32.0,16.0 g·kg-1) and EF(32.0 g·kg-1),the experiments showed that EH and EF could significantly extend the clotting time;Under the doses of EF(32.0,16.0 g·kg-1),EF and bainianle could increase the WBC,RBC count and HB value significantly in hemopenia mice;Under the doses of EH(32.0,16.0 g·kg-1),EH could reduce the parameters of hemorheology in rats with acute blood stasis syndrome,including whole blood viscosity,plasma viscosity,rigidity index of RBC,and EH(32.0 g·kg-1) could reduce HCT,erythrocyte sedimentation rate(ESR),the content of TC and TG.Under the doses of EF(32.0,16.0 g·kg-1),EF could reduce the parameters of hemorheology in rats with acute blood stasis syndrome,including whole blood viscosity,plasma viscosity,ESR,whole blood reduced viscosity,and EF(32.0 g·kg-1) could reduce rigidity index of RBC,aggregation index of RBC,HCT,ESR and the content of TG.Conclusion:Both extracts have the effects of activationg blood circulation and removing blood stasis.
Axiomatizing Timed Automata with Deadlines

It is known that the usual timed bisimulation fails to be a congruence for timed automata with deadlines – a variant of timed automata where component synchronization is delayable, and time progress is controlled by deadlines on transitions instead of invariants on locations. Recently, we found the coarsest congruence relation that is included in timed bisimulation for timed automata with deadlines. In the present paper we provide an algebraic proof system for direct derivation of such relation by syntactic manipulation. We establish that the proof system is sound and complete.
The cross-country pattern of corruption

This paper investigates and explains the cross-country pattern in the 1999 corruption index from Transparency International. The economic part of the model has four variables: the level and growth of real income per capita, the inflation rate, and the economic freedom index. The economic transition from poor to rich strongly reduces corruption, while periods of high inflation increase corruption. The cultural part of the model uses a set of dummies for “cultural areas”, and the Gastil index for democracy. Both parts offer satisfactory explanations and interact. However, the (relative) difference between GDP levels within the same cultural area is smaller than the (relative) difference between levels of corruption. The interaction therefore points to something different from culture: the inherent seesaw dynamics of corruption.
( H 7 N 9 ) AND I TS P OTENTIAL TO THE P

In the spring of 2013, the novel emerging influenza A (H7N9) virus has shocked China, and caused 134 human infections with 45 deaths in its first influenza season. In the winter of 2013-2014, the virus stroke China again and has caused 273 cases with 108 deaths (as of April 27 th ). The H7N9 outbreak has raised the concern of the next influenza pandemic. In this chapter, we briefly described the epidemiology of the H7N9 outbreak, and discussed the origin and diversity of the virus genome. Several models, including dynamic reassortments and genetic tuning models regarding the virus genesis, establishment and evolution were addressed. Moreover, we estimated and predicted the transmission routes of the H7N9 virus in China by means of big data. The co-circulation of H7N9 and varied subtypes of avian influenza viruses within poultry in China was described and discussed, as it is important for the establishment of the unpredictable HxNy influenza virus. Based on investigation of the molecular epidemiology of the H7N9 virus, the complete shutdown of the live poultry markets and firmly control of live poultry trade in China and Asian countries are called for to minimize avian influenza virus infections.
Analyzing Visualization and Dimensionality-Reduction Algorithms

In order to find patterns among high dimensional data sets in scientific studies, scientists use mapping algorithms to produce representative two-dimensional or three-dimensional data sets that are easier to visualize. The most prominent of these algorithms is the t-Distributed Stochastic Neighbor Embedding algorithm (t-SNE). In this project, we create a metric for evaluating how clustered a data set is, and use it to measure how the perplexity parameter of the t-SNE algorithm affects the clustering of outputted data sets. Additionally, we propose a modification in which improved how well randomness is preserved in outputted data sets. Finally, we create a separate metric to test whether a group of points contains one or multiple clusters in a data set of centered clusters.