Miracle-dz/UniFAR-FTUs huggingface dataset:
A Stockholm Environment Institute briefing note for the European Parliament Temporary Committee on Climate Change

It is now beyond reasonable doubt that climate change is happening, that its cause is the rising concentration of greenhouse gases in the atmosphere, and that these greenhouse gases stem primarily from human activity. The Fourth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR4) included observations of the first effects of climate change. It also concluded that even the most stringent mitigation efforts would not avoid further impacts of climate change in the next few decades (IPCC, 2007). This makes adaptation essential, particularly in addressing near-term impacts. Yet mitigation remains crucial as well, for reliance on adaptation alone would lead to a level of climate change to which effective adaptation is no longer possible, or only at very high social, economic and environmental costs. Successful action on climate change therefore needs to include both mitigation and adaptation.
MAD 1 L 1 ( mitotic arrest deficient 1 like 1 )

MAD1L1 is coiled-coil protein that binds to improperly attached kinetochrore, what results in recruitment and interaction with MAD2L1, activation of the mitotic checkpoint complex, inhibition of the anaphase-promoting complex/cyclosome and cell cycle arrest. During interphase, MAD1L1 regulates mitosis entrance at nuclear pore complexes (MAD2L1-dependent mechanism) and Golgi apparatus-related functions (MAD2L1-independent mechanism). Alterations in MAD1L1 are associated with chromosomal instability, aneuploidy, and cancer susceptibility. The present review contains data on MAD1L1 DNA, RNA, protein encoded and function.
PERCEPTION AND ATTITUDINAL BEHAVIOR OF LECTURERS ’ IN THE USE OF INFORMATION AND COMMUNICATION TECHNOLOGY TOOLS IN TEACHING / LEARNING IN MICHAEL OKPARA UNIVERSITY OF AGRICULTURE UMUDIKE

The study investigated perception and attitudinal behavior of lecturers in the use of ICT in classroom teaching and learning in Michael Okpara University of Agriculture, Umudike. A structured questionnaire was administered on a 5 point Likert-type questions to 120 of the 550 lecturers following simple random technique. The collected data were analyzed by finding means of respondents’ feelings and hypothesis with correlation coefficient. The means showed that ICT facilities are not frequently used in classroom teaching/learning by the lecturers (x̅ = 2.20). However, multimedia projector (x̅ = 3.49) and computer (x̅ = 3.36) were mostly used. The lecturers perception (x̅ = 3.05) was positive and their attitudinal behavior (x̅ = 2.89) was negative in the use of ICT in classroom. The correlation coefficient (r) was 0.373 and significant at 5% critical alpha level. It implies that there was a positive significant relationship between perception of ICT and attitude of the lecturers in the use of ICT. We advised that lecturers should put in more effort in the use of ICTs order than the multimedia and computer in classroom teaching/learning.
Pre-Trained Text Representations for Improving Front-End Text Processing in Mandarin Text-to-Speech Synthesis

In this paper, we propose a novel method to improve the performance and robustness of the front-end text processing modules of Mandarin text-to-speech (TTS) synthesis. We use pre-trained text encoding models, such as the encoder of a transformer based NMT model and BERT, to extract the latent semantic representations of words or characters and use them as input features for tasks in the front-end of TTS systems. Our experiments on the tasks of Mandarin polyphone disambiguation and prosodic structure prediction show that the proposed method can signiﬁcantly improve the performances. Speciﬁ-cally, we get an absolute improvement of 0.013 and 0.027 in F1 score for prosodic word prediction and prosodic phrase prediction respectively, and an absolute improvement of 2.44% in polyphone disambiguation compared to previous methods.
Aalborg Universitet Enabling Smart Grid Features by Enhanced Utilization of Actual Advanced Metering Infrastructure

The behaviour of Low Voltage (LV) grids is undergoing a transition from a load leaded passive role to a more active one [1], arising technical challenges such as sudden voltage dips and swells, bidirectional power flows, etc. Besides, these events are not automatically reported at the Distribution System Operator (DSO) control center, and mitigation actions (in case of abnormal conditions or outages) take relatively long time and a lot of manpower [2]. However, the undergoing deployment of Advanced Metering Infrastructures (AMI) in Europe appears promising for addressing these operational challenges. Nevertheless, the actual performance of the existing AMI is given by an architecture mainly designed for billing purposes, where the potential of the systems is not fully exploited. This paper aims to provide, an overview of the actual architecture, performance and utilization of the AMI. Additionally, alternative approaches on the utilization of actual AMI are discussed, in the frame of the ongoing research project PSO-RemoteGrid, in concordance with the needs reported by DSOs in Europe. Practical aspects such as the required system architecture supporting the implementation of smart grid functionalities are also discussed. This paper aims to increase the awareness of smart grid actors on existing capabilities and unused potential of current AMI.
Functional expression of the catalytic domains of two cysteine proteinases from Trypanosoma congolense

The catalytic domains of two closely related cysteine proteinases (CP1 and CP2) from Trypanosoma congolense, referred to as C1 and C2, were expressed as proforms in Escherichia coli (C1) and in the baculovirus system (C1 and C2). While the bacterial expression system did not allow recovery of active C1, the baculovirus system led to secretion of inactive zymogens which could be processed at acidic pH into mature enzymes. Active C1 and C2 were purified from serum-free culture supernatants by anion-exchange chromatography and characterised. Their kinetic parameters and pH activity profiles confirmed the relatedness between C2 and native CP2 (congopain). These properties also underline major functional differences between C1 and C2, that appear to relate to discrete but essential sequence differences. It is likely that these two enzymes perform distinct roles in vivo, in the parasite and/or in the host-parasite relationships. q 2001 Australian Society for Parasitology Inc. Published by Elsevier Science Ltd. All rights reserved.
Reconciling tensions and tradeoffs between supply side network actors as Tourism Brand Making : the case of Burren Eco-Tourism Network

In this paper we will explore how a destination brand is brought into being (after Onyas and Ryan, 2015) through the “dynamic processes and practices that take place between the context-bound interconnected actors” (Saraniemi and Kylanen (2011, 136). As such we consider the destination brand as co-constructed by the many and varied actors operating within the destination. We position our work at the nexus of three academic discussions. One, we have the emergent significance given to the supply side of destination brand (Bregoli, 2013) success, where actions of destination ‘stakeholders’ are recognised as key to the successful delivery of a coherent brand experience to the end consumer. However, rather than take the brand as pre-given to which stakeholders must adhere, we consider the brand as co-created, involving many tradeoffs and tensions between actor mindsets and actions. Two, we consider Baerenholdt et al (2004) who suggest that tourism studies should pay attention to the practicing and performing, and that the production and consumption practices create spatiality. This counters the more traditional view where tourism destination research has tended to privilege a static view of destinations. In taking a constructivist approach we instead consider how destinations have become understood as “socio-culturally constructed spaces that actively shape their own future” (Saraniemi and Kylanen 2011, 138). Three, we consider the brand as an outcome of network activities rather than pre-given entities. These include suppliers and consumers, and not just the latter, but also non-human actors such as standards and certification process, training programmes and including an array of symbolic and discursively loaded media content (Nakassis, 2012). Importantly this position does not privilege any one actor over another and points instead to the relations between actors and their configuration within the network, which hold together constellations of characteristics and meanings. Further, this process is not viewed as predeterminable, or as a fait accompli on the part of the brand ‘sponsor’. Instead, the process is likely to be characterised by disagreements between market actors, which steer the ‘realisation of the brand’ in differing directions, triggering adjustments within the assemblage, which leaves the outcome open to multiple adjustments (Onyas and Ryan, 2015).
Study of the Factors Affecting P / E Coefficient Given Type of Industry ( Growth Rate and Payout Ratios ) in Tehran Stock Exchange

The present study discusses the factors affecting pricing earnings per share (Growth Rate & Payout Ratios) given type of industry. For hypothesis test of the study, the panel data model which is a combination of two sectional and time series data methods, and Eviews software were used. In this respect, share valuation methods based on assets and base of profitability and other common methods were studied. One of the main ways of valuation which is often used by analysts, price-earnings (P/E) coefficient. Dependent variable of the study, P/E, has been prepared in two forms of historical and prediction. The factors affecting price-earnings ratio include rate of payment of capital gains (b) and return rate ® and growth rate of dividend (g). It goes without saying that price to earnings ratio changes directly with rate of payment of capital gains and growth rate and, vice versa, with return rate. The results obtained in predicted P/E, due to inefficiency of predictions in Iranian inefficient market, led to rejecting the hypotheses that there is a relationship between P/E and growth rate and dividend percentage, and type of industry. But, in historical P/E, the hypothesis 1 saying that there is a significant relationship between dependent variable and dividend percentage was supported. There is no significant relationship between historical P/E and growth rate (gr).
FOR ELMINATING HEMATOLOGIC CANCER STEM CELLS IN VIVO AND FOR PREVENTING HEMATOLOGIC CANCER RELAPSE

(71) Applicant: Commissariat a L'Energie Atomique et aux Energies Alternatives (CEA), Paris (FR) (72) Inventors: Stéphane Prost, Malabry (FR); Marek Kirszenbaum, Vanves (FR); Mikael Le Dantec, Paris (FR); Philippe Rousselot, Paris (FR); Philippe Leboulch, Charlestown, MA (US) (73) Assignee: Commissariat a L'Energie Atomique et aux Energies Alternatives (CEA), Paris (FR) Subject to any disclaimer, the term of this patent is extended or adjusted under 35 U.S.C. 154(b) by 0 days. (*) Notice:
Loop gain measurements

There is no doubt that the loop gain T(jf) plays a central role in negative feedback, so it is important to have this parameter at hand during the phases of a design process. If the circuit of interest is available in textbook form, with the error amplifier modeled by a dependent source of gain av in the case of an op amp, or of gain gm in the case of a transistor, then we find T(jf) as the return ratio of said source [1]. But what if the error amplifier is shown at the transistor level (as when we wish to simulate it via SPICE), or is available in its physical form (as when we wish to perform bench measurements)? We no longer have access to any internal dependent-source model, so we need some other means for finding T(jf).
Profile and Reference Values for Body Fat and Skeletal Muscle Mass Percent at Females, Aged from 18.0 to 69.9, Measured by Multichannel Segmental Bioimpedance Method: Serbian Population Study

Profile and standards for the diagnostics of percent of body fat and muscles were defined on a sample of 1924 women from the Republic of Serbia, aged 18.0 to 69.9, where the body structure of subjects was measured by applying multichanne l segmental bioimpedance. Total sample was divided into six age groups, for the purpose of the definition of standard with regard s to age. When it comes to body fat percentage results have shown that the average value of the total sample was 28.51 ±9.26 %, and between the range of 23.81 and 39.94 % for age groups 18.0-19.9 yr and 60.0-69.9 yr, respectively. Regression analysis results have shown t t the constant of body fat percentage increase by trend of 3.417 % per decade, and that 25.1 % of mutual variance trend was explained by the model, with prediction error of 4.55 %. With regards to the percentage of skeletal muscles in the body, the results have shown that the average value of the total sample was 39.30 ±5.25 %, and within the range of 42.25 to 32.58 % for age groups 18.0-19.9 yr and 60.0-69.9 yr, respectively. Regression analysis results have shown that the constant of the skeletal muscles decrease by tend of -2.016 % per decade and that the model explained 23.8 % of mutual variance trend with prediction error of 8.08 %.
Gestational weight gain and the association with offspring growth and obesity

Pediatric obesity is a key public health concern in the United States. We studied the association between gestational weight gain (GWG) and offspring growth and obesity risk across three developmental periods thought to be associated with obesity in later life. Mother-child pairs from the Maternal Health Practices and Child Development pregnancy cohort and were followed from <26 weeks gestation to 16 years postpartum. GWG was calculated as a ratio of observed to expected gain based on the 2009 Institute of Medicine GWG guidelines and women were classified as gaining below, within, or above the guidelines as inadequate, adequate, and excessive, respectively. We also studied GWG z-scores which account for prepregnancy BMI and are uncorrelated with gestational length. At birth, 8, 18, and 36 months, offspring weight-for-age z-scores (WAZ) were calculated, as well as body-mass-index-for-age z-scores (BMIZ) at these ages and 10 and 16 years. In accordance with current recommendations, z-scores were calculated based on the 2006 WHO growth standards for children <24 months and the 2000 CDC growth references for children ≥24 months. Child obesity was defined as a BMI ≥95th percentile at 36 months, 10 and 16 years. Compared to adequate, excessive GWG was associated with heavier weight at birth, slower infant growth, and greater risk for obesity at 36 months. At 10 and 16 years, higher GWG was associated with a greater risk of adolescent obesity. Inadequate GWG was associated with lower weight at birth and rapid weight gain from birth to 18 months, but not obesity risk. Children with rapid infant weight gain were more likely to be obese at 10 and 16, but not 3 years. GWG may exert a lasting influence on child growth and may lead to persistent obesity in this low-income sample of black and white mothers and their children. Limiting excessive GWG may impact the intergenerational cycle of obesity, making the findings of this dissertation relevant to public health.
Using a Mathematical Graph Framework for Visualization of Inheritance Patterns in Commercial Plant Pedigrees

The use of pedigrees in plant breeding allows breeders to target specific crosses to maximise the potential of developing varieties with desirable yield and resistance properties. The ability to predict inheritance of genes that facilitate resistance to pathogens or other commercially important characteristics is of benefit to experimental plant genetics and commercial plant breeding programmes. Tracking of this information by traditional phenotyping or molecular techniques is often expensive and time consuming, especially in industrial settings where, due to time constraints relating to growing seasons, many thousands of plant lines may need to be screened quickly and efficiently every year. While statistical analysis can be used to predict transmission of genes to progeny there is a cognitive limitation trying to conceptualise large pedigree structures. A combination of visual and statistical analysis would allow researchers and breeders to gain a better understanding of the transmission of genetic elements within a pedigree based framework. By developing such a framework we hope to develop tools that allow users to uncover patterns and associations within experimental datasets when combined with their specialist domain knowledge. Using a unique and extensive pedigree, genotypic and phenotypic dataset covering UK elite barley (Hordeum vulgare L.) germplasm derived from genome wide association studies (GWAS) [1,2], we discuss the challenges of visualizing the transmission of alleles and detail a prototype interactive visualization tool to allow predictions relating to patterns of transmission of desirable alleles through breeding programmes. The availability of these unique and real datasets gathered over the last 30 years should allow us to create a prototype system and make predictions based on this for lines for which we do not have data, focussing on characters such as Mlo and Mla mildew resistance or visual traits such as rachilla hair or aleurone colour.
Development of India’s first integrated expert urban flood forecasting system for Chennai

Floods are the most common and recurring natural hazards faced by humans since time immemorial. They pose a severe threat to the population, environment and economy in many places across the world, especially urban areas. Urbanization caused due to increasing migration into the floodplains has substantially increased the trend of devastation due to floods in a developing country like India. In Chennai and the surrounding suburban areas, torrential rainfall associated with low-pressure systems engulfed the city during December 2015, affecting more than 4 million people along with economic damages that cost around 3 billion USD. In view of the above-mentioned extreme event in Chennai, it was felt necessary that an expert system be designed for flood forecasting along with flood inundation maps and possible means of flood management through appropriate interventions for dealing with any such future events. The design of such a system involves the coupling of regional weather forecast model, tide forecast model, tidal flood model, urban overland flow model and storm-water drainage model. The proposed expert system is multidisciplinary in nature with the involvement of multiple institutions and organizations. With financial support from the Office of the Principal Scientific Advisor to the Government of India, New Delhi, the Indian Institute of Technology (IIT) Bombay, Mumbai took the lead in developing a fully automated and multi-component urban flood forecasting system, which is first of its kind in India, with active participation from the Indian Institute of Science (IISc), Bengaluru, IIT Madras, and Anna University, Chennai in partnership with the Ministry of Earth Sciences, Government of India (GoI) (India Meteorological Department (IMD), National Centre for Medium Range Weather Forecasting (NCMRWF), Noida, Integrated Coastal and Marine Area Management (ICMAM; now known as National Centre for Coastal Research (NCCR), Chennai), Indian National Centre for Ocean Information Services (INCOIS), Hyderabad), and Indian Space Research Organisation (ISRO) (National Remote Sensing Centre (NRSC), Hyderabad). The developed system is now being implemented and maintained in the Chennai Flood Warning System (C-FLOWS) designed by NCCR. The developed expert flood forecasting system has six major components which are connected to each other and all the connections are automated through real-time forecast, monitoring and datasharing. The components are: (a) regional weather forecasting modelling, (b) tide and storm-surge modelling, (c) monitoring of flows using sensors, (d) upstream hydrologic modelling, (e) flood modelling and (f) integration, data bank generation, and forecasting of flood inundation with visualization. Figure 1 presents the framework of the system.
Epidemiology of Gigantocotyle explanatum in naturally infected buffaloes

15 Abstract The Gigantocotyle explanatum, a digenetic trematode parasite infects the liver a nd bile duct of swamp buffaloes (Bubalusbubalis). The liver and bile duct of a total of 200 buffal oes were examined for the presence of Gigantocotyle explanatum by visiting local abattoirs of Rawalpindi and Islam bad, Pakistan. The histology of trematodes, collec ted from approximately 50 buffaloes, has been carried out fo r identification. The results of present study reve aled 25 percent Gigantocotyle explanatum infection in central Punjab. The correlation betwe en worm burden and area was found to be significant (p > 0.041) indicating the presence of trematode in all districts of study area with highe st average worm burden 472.7 in Sargodha followed by 329 in Faisalabad. The corr elation between worm burden and age was highly sign ifica t (p < 0.05) and correlation between worm burden and study area was also significant (p < 0.05). Furthermore it was fou nd that buffaloes having 22 year age have the highest worm burden. It was co ncluded that the Gigantocotyle explanatum is prevalent in central Punjab. Several factors like good canal system that provide excellent habitat for its secondary host, snail an d poor grazing management of animals being practiced in these areas should b e managed to control the trematode infections.
2 Simulation versus Reproduction for Avatar Eye-Gaze in Immersive Collaborative Virtual Environments

Using video technology in telecommunication systems poses spatial orientation problems because participants have a window onto each other’s space, rather than sharing one space. These problems can be overcome using immersive virtual reality in which remote participants are represented as avatars. Because of the challenges involved in capturing eye-gaze reliably and problems of loss in transmission, the simulation of eye-gaze behaviour has been attempted. We review the work on eye-gaze models for avatars and autonomous agents. These models infer eye-gaze from interactional states (e.g. speaking or listening). However, through reviewing detailed analyses of social interaction we identify eye-gaze practices that cannot be inferred from participants’ talk. We discuss the extent to which such practices constrain the prospects for the simulation of participants’ eye-gaze in telecommunication systems, and discuss some future work for better designing autonomous agents and representing avatars.