Miracle-dz/UniFAR-FTUs huggingface dataset:
On the limiting behaviour of needlets polyspectra 1

This paper provides quantitative Central Limit Theorems for nonlinear transforms of spherical random fields, in the high-frequency limit. The sequences of fields that we consider are represented as smoothed averages of spherical Gaussian eigenfunctions and can be viewed as random coefficients from continuous wavelets/needlets; as such, they are of immediate interest for spherical data analysis. In particular, we focus on so-called needlets polyspectra, which are popular tools for non-Gaussianity analysis in the astrophysical community, and on the area of excursion sets. Our results are based on Stein–Malliavin approximations for nonlinear transforms of Gaussian fields, and on an explicit derivation on the high-frequency limit of their variances, which may have some independent interest. Résumé. Dans cet article on prouve un TCL pour des fonctionnelles nonlinéaires de champs aléatoires sur la sphère avec bornes en variation totale dans le sens de la limite en haute fréquence. Les suites de champs aléatoires que l’on considère sont des moyennes régularisées de fonctions propres gaussiennes sur la sphère qui peuvent être vues comme des coefficients aléatoires d’ondelettes/needlets continues. En particulier on se concentre sur le polyspectre en needlets lequel est un outil couramment utilisé dans l’analyse de la nongaussianité en astrophysique et dans le domaine des ensembles de niveau. Nos résultats sont basés sur des approximations de type Stein–Malliavin pour des fonctionnelles nonlinéaires de champs gaussiens ainsi que sur le calcul explicite de la limite en haute fréquence de leur variance, ce qui pourrait constituer un résultat ayant un interêt en lui même. MSC: 60G60; 62M15; 42C15
Determinants of Fisher ’ s Choice of Fishing Activity along the Volta Lake in Yeji , Ghana

The study examined factors that influence people’s decision to engage in the fishery-related activities in Yeji, a major inland fishing town in Ghana. A total of 304 respondents were randomly selected and interviewed using semi-structured questionnaire. The analysis was done using the Ordered Probit Model and descriptive statistics. The study revealed that fishers in Yeji depend on the small-scale fisheries as their source of livelihood. The Ordered Probit regression analysis showed that the likelihood to engage in the fishery-related activities was significantly influenced by factors such as fishers’ level of education, average daily catch, gear ownership (boat), credit access, fishing experience, income and household size. The study revealed that lack of credit access as affirmed by majority (82%) of the respondents as the major challenge faced in the study areas. It is concluded that the fisheries sub-sector has the potential to boost economic growth, reduce poverty and ensure household food security in Yeji. It is therefore recommended that Ghana government through the Fisheries Commission should put in place sustainable measures and strategies that would ensure availability of fishing nets and boats for rural poor fishers.
Nutrient requirement of Kadaknath chicken during the finisher phase to optimize the growth and economic performance

The present experiment was carried out after completion of an earlier experiment of nutrient requirement of Kadaknath chicken during starter phase (0-6 weeks) was continued for finisher phase (7-14 weeks) to optimize the growth and economic performance. The 270 Kadaknath chickens were distributed into five treatment groups having three replicates containing 18 birds in each. The different dietary treatment groups were viz., control group A: birds fed diet CP18%, ME2700 kcal/kg, Methionine0.38%, Lysine0.85%; B: birds fed diet CP17%, ME2900 kcal/kg, Methionine0.45%, Lysine0.95%; C: birds fed diet CP18%, ME3000 kcal/kg, Methionine0.45%, Lysine0.90%; D: birds fed diet CP 19%, ME3100 kcal/kg, Methionine0.40%, Lysine1.00%; E: birds fed diet CP20%, ME3200 kcal/kg, Methionine0.38%, Lysine1.10%. The live body weight and weight gain in treatment groups C, D and E were significantly (P<0.01) higher as compared to control group at the 14 week. The feed intake and feed conversion ratio showed non-significant differences among all treatment groups. The treatment group D was recorded highest live body weights and lowest cost of production rupees per kg live body weights as compared to other treatment groups. The results of the present experiment suggested that Kadaknath birds fed with finisher diet containing a CP-19%, ME3100 kcal/kg, Methionine0.40%, Lysine1.00% from 7 to 14 week of age recorded better growth performance and lowest cost of production of Kadaknath chicken.
Canadian Research : Coherence in Teacher Education Programming for Inclusion

This article constitutes a literature review on teacher education for inclusion. The review examines related Canadian and international research from a policy perspective and argues for reconsidering the concept of inclusion in teacher education programming to further advance the learning experiences of those who come from diverse backgrounds. The review sheds light on the existing views, beliefs, and policy practices of those involved in teacher education and attends to the processes of translating inclusion policy principles into the practices of practitioners situated in various school contexts. Further, the review examines issues of funding along with the organizational and instructional strategies that would promote teacher education for inclusion in Ontario and beyond. A concluding summary and implications for future research are offered.
Biological and economic performance of feedlot lambs feeding on diets with different energy densities 1

The objective of this study was to evaluate performance, carcass dressing and gross profit margin of lambs of different genotypes finished in feedlot with diets containing two levels of energy (2.40 Mcal/kg dry matter DM or 2.90 Mcal/kg DM). Fifty-four non-castrated lambs of the following genotypes were used: Santa Inês, F1 Dorper × Santa Inês and F1 Santa Inês × undefined breed at approximately 150 d of age averaging 22.6 kg of live body weight. Lambs subjected to the diet containing 2.90 Mcal/kg DM stayed in feedlot for a shorter period of time. Moreover, they showed lower intake of dry matter and water in addition to greater daily weight gain and corporal score. There was interaction of feed conversion, carcass dressing yield and gross profit margin. The Dorper × Santa Inês lambs showed similar feed conversion in the two diets. However, Santa Inês lambs and Santa Inês × undefined breed lambs showed better feed conversion with the diet containing 2.90 Mcal/kg DM. The carcass dressings of the Santa Inês × undefined breed lambs were similar for both diets. Furthermore, the carcass dressing values were higher for the Santa Inês and Dorper × Santa Inês which received the diet with higher energy density. The gross profit margin is higher for Dorper × Santa Inês lambs in relation to genotype Santa Inês × undefined breed lambs when subjected to the diet with 2.40 Mcal/kg DM.
Recommender System for Items in Dota 2

Dota 2 is one of several multiplayer online battle arena games that have recently become extremely popular. A central feature of Dota 2 is that players select and purchase items that are used in the game and the selections strongly affect the outcome of the game. Item recommendations and purchase predictions in Dota 2 turn out to be interesting problems due to the many factors affecting the choice of items and due to the frequency by which items are purchased throughout the game. We present three recommender systems for recommending which items a player might buy throughout a match, based on commonly used purchasing strategies. These systems are a rule-based system, a logistic regression based system, and a logistic regression based system enhanced with clustering. Knowing only the player's hero and inventory items, the first two systems are able to predict the purchases by highly skilled players with accuracies ranging from 66.5% to 87.1%, depending on the hero where accuracy is defined as recommended items that were actually purchased in the next 5 min of the game. For the third system, the players are clustered by purchasing strategy which in turn group players by role and play style. Adding the clustering feature to the second version of the recommender system only improve the results slightly. The reason for this could be that the items in the player's inventory are already a strong indicator of a player's role and play style both of which were used to develop the first two recommender systems. An important question for future work is how the recommendations could be useful in practice for human or AI players.
CEP Discussion Paper No 1586 December 2018 The Effect of the Brexit Referendum Result on Subjective Well-being Georgios Kavetsos Ichiro Kawachi

We study the effect of the Brexit referendum result on subjective well-being in the United Kingdom. Using a quasi-experimental design, we find that this outcome led to an overall decrease in subjective well-being in the UK compared to a control group. The effect is driven by individuals who hold an overall positive attitude towards the EU and shows little signs of adaptation. Subjective well-being of those with a very negative attitude towards the EU increases in the short-run but turns negative, possibly due to unmet expectations. Using three different measures of socio-economic connection between the UK and other European countries, we generally do not find evidence supporting the presence of spillover effects of the Brexit referendum result on subjective well-being of individuals in other EU countries.
THE LEVEL AND PERSISTENCE OF ANTIBIOTIC RESISTANT STRAINS OF BACTERIA IN WASTEWATER BEFORE , DURING AND AFTER TREATMENT AT A MUNICIPAL WASTEWATER TREATMENT PLANT IN STELLENBOSCH

Wastewater treatment plants (WWTPs) are designed to remove/decrease conventional pollution parameters from the wastewater influent, so that the final effluent (run off) does not compromise the receiving surface water source. However, as hospital and clinical effluent may form part of the initial influent at a WWTP, bacteria may be exposed to various antibiotics or pharmaceuticals throughout the various stages of primary, secondary and tertiary processes utilised to remove or reduce the level of pollutants. Numerous studies have then indicated that WWTPs have become potential reservoirs for antibiotic resistant bacteria (ARB) and due to ineffective treatment practices, antibiotics are being released into the environment. Consequently, research has shown that relatively low concentrations of these compounds still promotes the development of bacterial resistance, which potentiates the rapid spread of ARB in the environment. The primary aim of this study was thus to identify and trace the antibiotic resistant strains of Staphylococcus aureus (S. aureus), Escherichia coli (E. coli) and Klebsiella pneumoniae (K. pneumoniae) throughout the Stellenbosch WWTP. This was done in order to determine the persistance of the ARB organisms at the various stages of treatment and to ascertain which identification and antibiotic resistance detection methods are ideal for the routine application and detection of these organisms. The first phase of the project thus focussed on the identification of the target organisms (S. aureus, E. coli and K. pneumoniae) using the Matrix-assisted laser desorption/ionization Time of Flight Mass Spectrometry (MALDI-TOF MS), VITEK 2 identificaiton system and 16S rRNA polymerase chain reaction analysis. Two litres (L) of wastewater were collected for three cycles from the WWTP in Stellenbosch at the influent, aeration tank, secondary settling tank and effluent sites. MALDI-TOF MS positively identified 63% (44/70) of the target organisms to the species level from all cycles. In contrast the 16S rRNA amplification followed by amplicon sequencing positively identified 99% (69/70) of the target bacteria from all cycles to species level. However, the VITEK 2 identification system positively identified to species level an average of 83% (58/70) of the target bacteria from all cycles. Cochran’s Q test probability analysis for the identification of E. coli was then equal to 0.00091, K. pneumoniae was equal to 0.000081 and S. aureus probability analysis was equal to 0.049787. This then resulted in the rejection of the null hypothesis and acceptance of the alternative hypothesis, which states that, there is a significant difference between the three identification techniques in identifying a particular species of the target bacteria to species level. Based on these results obtained it is therefore recommended that 16S rRNA gene sequencing technique can be utilised for the
International Conference on Sustainable Energy and Resource Use in Food Chains , ICSEF 2018 , 17-19 October 2018 , Paphos , Cyprus Low temperature gasification of poultry litter in a lab-scale fluidized reactor

District heating networks are commonly addressed in the literature as one of the most effective solutions for decreasing the greenhouse gas emissions from the building sector. These systems require high investments which are returned through the heat sales. Due to the changed climate conditions and building renovation policies, heat demand in the future could decrease, prolonging the investment return period. The main scope of this paper is to assess the feasibility of using the heat demand – outdoor temperature function for heat demand forecast. The district of Alvalade, located in Lisbon (Portugal), was used as a case study. The district is consisted of 665 buildings that vary in both construction period and typology. Three weather scenarios (low, medium, high) and three district renovation scenarios were developed (shallow, intermediate, deep). To estimate the error, obtained heat demand values were compared with results from a dynamic heat demand model, previously developed and validated by the authors. The results showed that when only weather change is considered, the margin of error could be acceptable for some applications (the error in annual demand was lower than 20% for all weather scenarios considered). However, after introducing renovation scenarios, the error value increased up to 59.5% (depending on the weather and renovation scenarios combination considered). The value of slope coefficient increased on average within the range of 3.8% up to 8% per decade, that corresponds to the decrease in the number of heating hours of 22-139h during the heating season (depending on the combination of weather and renovation scenarios considered). On the other hand, function intercept increased for 7.8-12.7% per decade (depending on the coupled scenarios). The values suggested could be used to modify the function parameters for the scenarios considered, and improve the accuracy of heat demand estimations. © 2017 The Authors. Published by Elsevier Ltd. Peer-review under responsibility of the Scientific Committee of The 15th International Symposium on District Heating and Cooling.
CSI data Generation data Learned features Outputs Generation Stage Features Learning Stage Task Stage !

We build CSI-Net, a unified Deep Neural Network (DNN), to learn representation of WiFi signals. Using CSI-Net, we jointly solved two body characterization problems: biometrics estimation (including body fat, muscle, water and bone rates) and person recognition. We also demonstrated the application of CSI-Net on two distinctive pose recognition tasks: the hand sign recognition (fine-scaled action of the hand) and falling detection (coarse-scaled motion of the body). Code has been made publicly at https://github.com/geekfeiw/CSI-Net.
CHL1 suppresses tumor growth and metastasis in nasopharyngeal carcinoma by repressing PI3K/AKT signaling pathway via interaction with Integrin β1 and Merlin

Deletion of Chromosome 3p is one of the most frequently detected genetic alterations in nasopharyngeal carcinoma (NPC). We reported the role of a novel 3p26.3 tumor suppressor gene (TSG) CHL1 in NPC. Down-regulation of CHL1 was detected in 4/6 of NPC cell lines and 71/95 (74.7%) in clinical tissues. Ectopic expressions of CHL1 in NPC cells significantly inhibit colony formation and cell motility in functional study. By up-regulating epithelial markers and down-regulating mesenchymal markers CHL1 could induce mesenchymal-epithelial transition (MET), a key step in preventing tumor invasion and metastasis. CHL1 could also cause the inactivation of RhoA/Rac1/Cdc42 signaling pathway and inhibit the formation of stress fiber, lamellipodia, and filopodia. CHL1 could co-localize with adhesion molecule Integrin-β1, the expression of CHL1 was positively correlated with Integrin-β1 and another known tumor suppressor gene (TSG) Merlin. Down-regulation of Integrin-β1 or Merlin was significantly correlated with the poor survival rate of NPC patients. Further mechanistic studies showed that CHL1 could directly interact with integrin-β1 and link to Merlin, leading to the inactivation of integrin β1-AKT pathway. In conclusion, CHL1 is a vital tumor suppressor in the carcinogenesis of NPC.
ANGELA NEGRÃO TORRES GOMES.pdf'

Warning messages serve a critical role in informing and persuading consumers to understand the risks associated with certain behaviors. The literature suggests that compliance with warning messages is greater when individuals understand that they may be at risk. Previous research shows that incidental emotions impact on individuals’ judgment of risk, through cognitive appraisals tendencies. However, most of the specific emotions studied are of negative valence. Therefore, there is a lack of studies investigating how incidental positive emotions may differentially affect compliance with warning messages. This research proposes that incidental future-oriented positive emotions (i.e., hope), when compared to incidental past-oriented positive emotions (i.e., pride), are more likely to increase compliance with warning messages through self-risk perception. Risk is the perception of vulnerability that a negative event can happen in the future, along with the perceived severity of the negative event, and we propose that self-risk perception may be increased when individuals’ mind-set is more future-focused. Study 1 tests our predictions checking the temporal focus of positive emotions as expressed in emotion-elicitation essays and demonstrating that incidental hope, compared to pride, shows higher levels of self-risk perception when exposed to a health-care warning ad (STDs), which in turn increases compliance intention with the ad appeal. Study 2 replicates the previous finding in another health-care domain (hepatitis). Study 3 shows that the impact of temporal focus on risk and compliance is contingent to the emotion-focused orientation, and the opposite effect is observed when temporal focus is not associated with specific emotions. Finally, study 4 provides initial evidence that warning messages framed in gain perspective may increase the risk perception and compliance of those in the pride focused orientation, whereas those in the hope focused orientation demonstrated a higher risk perception and compliance intention when exposed to loss framed warning messages. This study contributes theoretically to research on temporal construal level and risk-taking behavior and to the cognitive appraisal tendencies of positive emotions.
Factors influencing consumer usage of E-banking services through mobile phones : The Chingola District perspective ( Conference ID : CFP / 228 / 2017 )

Mobile banking is the latest and most innovative service offered by banks all over the world. It is a subset of electronic banking which underlies not only the determinants of the banking business but also the special conditions of mobile commerce. Mobile banking gives customers access at banking services at any time without the assistance of a bank employee. To this regard, a study was carried out to examine the factors influencing the usage of e-banking services through mobile phones with reference to ease of use, perceived usefulness and trust. A paper based questionnaire was designed and distributed to 50 customers of major banks in Chingola District of Zambia as a primary data collection method. All 50 questionnaires distributed were successfully returned and used for analysis yielding a 100% response rate. The results indicate that ease of use, perceived usefulness and trust have significant influence on consumer usage of e-banking services through mobile phones with perceived usefulness being the most significant of the three. The researcher recommends that banking institutions take necessary steps to extensively educate the consumers regarding mobile banking and other electronic banking services in order to reduce the resistance customers normally have towards services they are not fully aware of. Keywords—Ease of Use, Mobile Banking, Perceived Usefulness, Trust, Usage. The International Journal of Multi-Disciplinary Research
Process and resolution impacts on UK coastal wave predictions from operational global-regional wave models

UK coastal waters comprise a complex mix of embayments, areas with shallow bathymetry and strong tides. Recent developments in supercomputing capacity and wave model grid schemes make it possible to consider issuing wave forecasts for these waters, direct from configurations that have been more generically developed for global and regional forecast applications but also aim to adequately resolve the coastal zone. This study assesses how close the present generation of wave models run operationally at the Met Office are to achieving this aim, using a comparison against in-situ observations covering both offshore and coastal waters around the UK. The configurations tested are: a global wave model using a Spherical Multiple Cell (SMC) grid with refinement up to 3km resolution around the UK; a 7km regular grid model mainly designed for offshore forecasting for the northwest European continental shelf seas, but which incorporates the effects of mesoscale surface currents; and a 3-1.5km SMC grid model for UK waters including forcing by surface currents at a similar resolution. Increasing resolution and application of currents in the models yields little positive impact in the offshore zone; implying that the dominant source of error results from a combination of uncertainty in wind forcing and model source terms. In the coastal zone, the high resolution model including currents obtains the best overall results for significant wave height. For parameters with a higher sensitivity to the distribution of energy through the wave spectrum, such as peak and zeroupcrossing period, the skill of all models is generally poor in the coastal zone when using the simple metrics in this study. In relative terms, the skill achieved in the coastal zone lags performance offshore, implying the need to further develop the coastal component of such models and to discriminate between offshore and coastal observations when validating such configurations.
WP / 19 / 130 How Does Taxation Affect Hours Worked in EU New Member States ?

Hours worked vary widely across countries and over time. In this paper, we investigate the role played by taxation in explaining these differences for EU New Member States. By extending a standard growth model with novel data on consumption and labor taxes, we assess the evolution of trends in hours worked over the 1995-2017 period. We find that the inclusion of tax rates in the model significantly improves the tracking of hours. We also estimate the elasticity of hours (and its different margins) to quantify the deadweight loss introduced by consumption and labor taxes. We find that these taxes explain a large share of labor supply differences across EU New Member States and that the potential gains from policy actions are noteworthy. JEL Classification Numbers: E2, J22, H24