Miracle-dz/UniFAR-FTUs huggingface dataset:
NUMERICAL SIMULATION OF HEAT TRANSFER IN A FALLING LIQUID FILM WITH ALLOWANCE FOR HEAT CONDUCTION IN HEATERS

Simulation of heat transfer in a liquid film flowing down a plate with a local heat source taking into account the heat flux redistribution in the heater has been carried out. Some numerical calculations for the adjoint problem in the two-dimensional steady case have been made. The calculated heat flux distribution along the local heat source is a monotone decreasing convex downwards function. This is due to the heat flux from the lower hotter part of the heater to its upper part. The optimum location of a heat flux sensor has been calculated to obtain maximum accuracy of measurements. It has been found that the heat transfer coefficient value calculated is between the values obtained when the boundary conditions q = const and T = const are satisfied.
The Sustainable Cultivation of Mexican Nontoxic Jatropha Curcas to Produce Biodiesel and Food in Marginal Rural Lands

The objective of this study is to identify Mexican nontoxic ecotypes of Jatropha curcas with potential for a sustainable agriculture practice to produce biodiesel and food products through a methodology and criteria of sustainability. In a rural region of Morelos state in central México, nine Mexican ecotypes of Jatropha curcas were evaluated in an experimental plantation with minimal water resources and fertilization. The experimental trial was assessed in terms of (1) toxicity, (2) growth and survival of the plants, (3) yield of seed, (4) residual biomass production, (5) oil characteristics for biodiesel production, (6) nutrimental properties of the seeds, and (7) changes in the chemical properties of the soil. Finally, two outstanding nontoxic ecotypes were identified as the most suitable for the establishment of Jatropha curcas crops to produce biodiesel and, at the same time, for food products using the de-oiled endosperm cake, for energy production from the residual biomass and for improvement of soil properties in marginal lands of rural regions of Morelos state.
Influence of mobile devices categories on the usability of some mobile websites

This research is an experimental investigation into the influence of mobile devices categories on the usability of some mobile websites. Mobile websites investigated include: CNN, Google, Facebook, Yahoo and Flickr mobile websites representing news, search, service, portal, and media sharing website categories respectively. The mobile devices used include: iPhones, smartphone with physical keypad and iPad representing touch screen mobile phones (TSMP), non-touch screen mobile phones (NTSMP) and tablet PCs respectively. The objective is to investigate some mobile usability issues that may be encountered when using these three most popular mobile devices to access the five websites with the view to finding their influence on the usability of the websites and make some useful recommendations as to their usage. Fifteen important usability issues were identified from literature review and fifteen hypotheses that agreed with these usability issues were formulated. Usability tests were carried out using remote usability testing and qualitative evaluation method. Altogether, 75 usability tests were carried out by fifteen users for the five mobile websites using the three categories of mobile devices. Results indicate that all the three mobile device categories recorded high to very high usability with the five categories of mobile websites because very small usability issues were found in them, indicating that mobile devices categories have little or no influence on the five mobile websites. Based on the investigations carried out, touch screen phones are recommended for news websites and tablet PCs for search websites, service websites, portal websites and media sharing websites. Smartphones with physical keyboard are not convenient for browsing websites.
Low-scale leptogenesis in the scotogenic neutrino mass model

The scotogenic model proposed by Ernest Ma represents an attractive and minimal example for the generation of small Standard Model neutrino masses via radiative corrections in the dark matter sector. In this paper, we demonstrate that, in addition to neutrino masses and dark matter, the scotogenic model also allows to explain the baryon asymmetry of the Universe via low-scale leptogenesis. First, we consider the case of two right-handed neutrinos (RHNs) N1,2, for which we provide an analytical argument why it is impossible to push the RHN mass scale below M1min∼1010 GeV, which is identical to the value in standard thermal leptogenesis in the type-I seesaw scenario with the same washout strength. Then, we present a detailed study of the three-RHN case based on both an analytical and a numerical analysis. In the case of three RHNs, we obtain a lower bound on the N1 mass of around 10 TeV. Remarkably enough, successful low-scale leptogenesis can be achieved without any degeneracy in the RHN mass spectrum. The only necessary condition is a suppression in the N1 Yukawa couplings, which results in suppressed washout and a small active neutrino mass of around 10-12 eV. This leads to the fascinating realization that low-scale leptogenesis in the scotogenic model can be tested in experiments that aim at measuring the absolute neutrino mass scale.
A Comparative Nature Inspired Load Balancing Algorithms in a Cloud Computing Environment

One of the primary issues in cloud computing is implementation of a novel load balancing approach. The demanding thirst for optimal performance of the system is creating research interest in this area. Many Load Balancing algorithms that aim to enhance the overall system performance have been proposed. In this paper, we survey a special group of Load balancing algorithms that have taken inspiration from nature. We provide an overview of the current trends in the field by discussing and comparing these algorithms. KeywordsCloud computing, Load balancing, swarm Intelligence
Improving Survival Prediction Using a Novel Feature Selection and Feature Reduction FrameworkBased on the Integration of Clinical and Molecular Data

The accurate prediction of a cancer patient's risk of progression or death can guide clinicians in the selection of treatment and help patients in planning personal affairs. Predictive models based on patient-level data represent a tool for determining risk. Ideally, predictive models will use multiple sources of data (e.g., clinical, demographic, molecular, etc.). However, there are many challenges associated with data integration, such as overfitting and redundant features. In this paper we aim to address those challenges through the development of a novel feature selection and feature reduction framework that can handle correlated data. Our method begins by computing a survival distance score for gene expression, which in combination with a score for clinical independence, results in the selection of highly predictive genes that are non-redundant with clinical features. The survival distance score is a measure of variation of gene expression over time, weighted by the variance of the gene expression over all patients. Selected genes, in combination with clinical data, are used to build a predictive model for survival. We benchmark our approach against commonly used methods, namely lasso- as well as ridge-penalized Cox proportional hazards models, using three publicly available cancer data sets: kidney cancer (521 samples), lung cancer (454 samples) and bladder cancer (335 samples). Across all data sets, our approach built on the training set outperformed the clinical data alone in the test set in terms of predictive power with a c.Index of 0.773 vs 0.755 for kidney cancer, 0.695 vs 0.664 for lung cancer and 0.648 vs 0.636 for bladder cancer. Further, we were able to show increased predictive performance of our method compared to lasso-penalized models fit to both gene expression and clinical data, which had a c.Index of 0.767, 0.677, and 0.645, as well as increased or comparable predictive power compared to ridge models, which had a c.Index of 0.773, 0.668 and 0.650 for the kidney, lung, and bladder cancer data sets, respectively. Therefore, our score for clinical independence improves prognostic performance as compared to modeling approaches that do not consider combining non-redundant data. Future work will concentrate on optimizing the survival distance score in order to achieve improved results for all types of cancer.
Detecting Activity Patterns from Smart Card Data

During the past decades, the modelling of transport demand by activity based methods has gained considerable attention from the scientific community. Such demand models offer a greater modelling flexibility than traditional models, by modelling transport demand as a phenomenon which emerges from the desire to perform activities at different locations, as opposed to more traditional models where an origin destination demand matrix of trips is distributed over different routes and modes. One of the drawbacks of the activity based paradigm is that data related to activities is more difficult to collect than traffic counts. Modern technologies, such as smart card ticketing systems and smart phones, allow us to collect more detailed accounts of the movements of individual passengers. This gives us the possibility to analyse consecutive journeys and therefore the time a passenger spends in a certain location. This information can be very useful from an activity based modelling perspective. In this paper we take an exploratory approach to derive important activity time intervals from smart card data. We apply a clustering algorithm on the intervals observed at individual stations to detect which time intervals capture enough activities. We then construct a tree-based labelling algorithm that allows us to label the activities and analyse activity chains of individual passengers. We count pairs of consecutive activity labels, visualise the results as a network and calculate which triplets of consecutive activities occur most often. Using this approach, we are able to identify activity patterns that differ from the typical time windows associated with home-work activities.
Efficacy of bacterin-, outer membrane protein- and fimbriae extract-based vaccines for the control of Salmonella Enteritidis experimental infection in chickens

ABSTRACT. - Menao M.C. , Astolfi-Ferreira C.S. , Knobl T. & Ferreira A.J.P. 2013. Efficacy of bacterin-, outer membrane protein- and fimbriae extract-based vaccines for the con - trol of Salmonella Enteritidis experimental infection in chickens . Pesquisa Veterinaria Brasileira 33(3):326-330 . Departamento de Patologia, Faculdade de Medicina Veterinaria e Zootecnia, Universidade de Sao Paulo, Av. Prof. Dr. Orlando Marques de Paiva 87, Sao Paulo, SP 05508 270, Brazil. E-mail: ajpferr@usp.brThe efficacy of three vaccines was evaluated in chickens for the control of experimental infection with Salmonella Enteritidis (SE) phage type 4. The vaccines were produced with bacterin, outer membrane proteins (OMP) and fimbriae crude extract (FE). The chickens were vaccinated intramuscularly with two doses of each vaccine at 12 and 15 weeks of age. The chickens were then orally challenged with 10 9 CFU/chicken Salmonella Enteritidis phage type 4 at 18 weeks of age. Fecal swabs were performed for the recovery of shedding SE, and SE was recovered from the liver and spleen. Additionally, antibody titers were mea-sured in the serum by micro-agglutination test. The results indicated that the vaccine pro-duced with bacterin yielded better results and resulted in reduction of fecal shedding and organ invasion by SE after oral challenge, although no vaccine was 100% effective for the control of SE experimental infection.
Self-care Management and Education of Diabetic Clients

The roles and responsibilities of clients in managing non-communicable diseases (NCDs) remain vital. Diabetes mellitus is a chronic disease that affects people from underdeveloped, developing and developed countries despite stages of economic and social development. Diabetes self-management education (DSME) is an ongoing process of facilitating the knowledge, other skills necessary for self-care and incorporating the critical processes such as the needs affected goals and care guided by evidence-based standards. The overall goals of the article supported informed decision-making, self-care behaviors, problem-solving and collaborated with health care teams to improve clinical outcomes, enhanced health status and the quality of life living with diabetes. The self-care management model was designed to help clients living with the disease. The model provided supports and educated client on how to best adjust their lifestyle practices to sustain healthy living. The nursing process used as an assessment tool for designing the model. A client-friendly action plan and a simple take home card used to chart the way forward in managing self-care. Technology has influenced many lives, which can be motivational and allowed for more frequent contact between healthcare providers and clients and enhanced self-care management behaviors and treatment plans. The application of scientific knowledge can be broadened to clients, homes, and communities, and provided individualized care and just-in-
Commitment versus Flexibility in Enforcement Games

This paper studies the role of commitment in the design of enforcement mechanisms when enforcement can remedy harm from non-compliance. We consider a game between an enforcement authority ("enforcer") and an offender in which either the enforcer or the offender may act as a Stackelberg leader. The enforcer must choose whether to move first by committing to an enforcement strategy--thereby directly affecting the level of non-compliance; or rather let the offender make the first move--thereby calibrating the level of enforcement to the actual level of non-compliance. We show that the value of commitment to the enforcer depends on each player's responsiveness to a change in the other player's strategy choice. Commitment to an enforcement strategy is thus not always in the enforcer's interest.
FPGA IMPLEMENTATION OF MODIFIED REVERSIBLE BOOTH ALGORITHM

In current scenario, reversible logic has emerged as a promising technology having its applications in low power CMOS, quantum computing, nanotechnology, and optical computing. The classical set of gates such as AND, OR, and EXOR are not reversible. The reversible logic operations do not erase (lose) information and dissipate very less heat. Thus, reversible logic is likely to be in demand in high speed power aware circuits. Reversible circuits are of high interest in low power CMOS design, the research work describes the design of booth recoding multiplier using reversible gates such as Feynman gate, Toffoli gate, Peres gate. It is used to accelerate the multiplication speed with reduced power consumption. The resultant multiplier circuit shows better performance than others and can be used in the systems requiring very high performance. Hence the performance parameters of reversible logic gates are: Quantum cost, Garbage output, Gate count. This is simulated and verified using Xilinx 14.5, and is implemented on FPGA Spartan 6 kit.
Local Lie derivations on von Neumann algebras and algebras of locally measurable operators

Let $\mathcal{A}$ be a unital associative algebra and $\mathcal{M}$ be an $\mathcal{A}$-bimodule. A linear mapping $\varphi$ from $\mathcal{A}$ into an $\mathcal{A}$-bimodule $\mathcal{M}$ is called a Lie derivation if $\varphi[A,B]=[\varphi(A),B]+[A,\varphi(B)]$ for each $A,B$ in $\mathcal{A}$, and $\varphi$ is called a \emph{local Lie derivation} if for every $A$ in $\mathcal{A}$, there exists a Lie derivation $\varphi_{A}$ (depending on $A$) from $\mathcal{A}$ into $\mathcal{M}$ such that $\varphi(A)=\varphi_{A}(A)$. In this paper, we prove that every local Lie derivation on von Neumann algebras is a Lie derivation; and we show that if $\mathcal M$ is a type I von Neumann algebra with atomic lattice of projections, then every local Lie derivation on $LS(\mathcal M)$ is a Lie derivation.
Incorporating International Capital Ownership into the GTAP Model: Results for Asia-Pacific Trade Liberalisation

In this paper, some major modifications are made to the existing GTAP structure and database to incorporate a long-run closure in which changes in the ownership of capital stocks are determined endogenously and income earned on endowment commodities accrues to the owners of those endowments. This long-run closure assumes that in the long run all economies are growing at a common steady-state rate of growth, determined by the rate of population and technological growth. In order to ensure valid comparative statics the underlying growth rate in the database must equal this steady-state rate of growth. Shocks are imposed to equate the growth rates of capital across regions and thus create a steady-state database. Once the GTAP model and database have been modified, they are then used to simulate the long-run effects of Asia-Pacific trade liberalisation on welfare and gross national product. It is found that the foreign ownership of assets does have a significant effect on the projected outcome of trade liberalisation in the Asia-Pacific region.
EFFICACY OF ECOFRIENDLY MANAGEMENT PRACTICES AGAINST CHILLI (Capsicumannuum L.) LEAF CURL COMPLEX

Chilli (Capsicum annuum L.) is an important cash crop of Sri Lanka and vulnerable to the Chilli leaf curl complex problem. The problem is serious to dry zone especially to the Batticaloa district of Sri Lanka. As the causal organism of this problem is virus, particularly difficult to control in open field due to the widespread presence, wide host range and population of white flies. Disease management may include vector control either directly by pest repellents, poisonous applied substance to the pest or indirectly by the natural balance in the chilli ecosystem. A questionnaire survey and field study were conducted at the Kaluthavallai, Batticaloa and Agronomy farm of the Eastern University Sri Lanka respectively during August to November 2017 to examine the leaf curl complex incidence at the Batticaloa district. The questionnaire survey revealed that PC1 was highly preferred chilli variety by the farmers at this area and used numerous applications of chemical pesticides to control the leaf curl complex. The field experiment was conducted to select best eco friendly management practices against leaf curl complex versus different chilli varieties viz., MI2, PC1, Galkiriyagama, KA2 and MICH3. It was concluded from the field study that cow urine was the best treatment against chilli leaf curl complex problem at the Batticaloa district.
Local crustal imaging using distant high-magnitude earthquakes

Global phases are seismic waves that travel through the earth’s core before emerging at the surface. Traditionally, global phases are used to obtain subsurface information up to 1 Hz. A recent study, however, found that signal present in the coda of strong, distant earthquakes contains higher frequencies. Quantitative analysis of the coda of earthquakes, of at least mag-nitude 6, shows that frequencies of, on average, 3 Hz can be found, with the most promising results coming from P- and PKIKP-phases. By autocorrelating the coda of these phases an estimate of the zero-oﬀset reﬂection response below a seismic station can be retrieved. The method allows to successfully delineate basins in both Argentina and the United States. Even higher frequencies, up to 8 Hz, are used at speciﬁc stations, that have been active for an extended period of time (≥ 8 years). Again the method succeeds in retrieving structural information below these stations. The results of both studies are conﬁrmed by existing lit-erature as well as Ambient Noise Seismic Interferometry (ANSI) studies. ANSI is a method, which retrieves the reﬂection response below a station by applying seismic interferometry to ambient noise. Advantages are that the method is computationally cheap and fast and that it is a passive measurement thus requiring low-eﬀort. A disadvantage, however, is the unpredictability of earthquakes, which means that the exact duration the stations have to be active is unknown. Instead, the station will have to record over a prolonged amount of time, during which suitable earthquakes should occur. Research into the upper crustal structure, in particular, may ben-eﬁt from the method. For example, the depth of a sedimentary basin can be discovered and imaged using this method. This gives important constraints, e.g. for geothermal prospecting.
Microstructure and Tribological Properties of Self-Lubricating FeS Coating Prepared by Chemical Bath Deposition Coating Technique

The FeS solid lubricating coatings were prepared on the AISI 5140 steel by chemical bath deposition (CBD) coating technique at various temperatures from 30 to 90 °C. The influence of temperature on microstructure, microcracks, and tribological properties was characterized and studied by X-ray diffraction (XRD), scanning electron microscope (SEM), and energy dispersive spectrometry (EDS). The results show that the coating mainly consists of FexSy (FeS, FeS2, and Fe1−xS), and has a chrysanthemum-shaped (CS) morphology composed of the FeS crystal petals. The CS particles nucleate at about 30 °C, rapidly grow and reach a peak thickness at about 50–70 °C, and finally disappear and are replaced by disordered thick petals at 90 °C. The wear resistance of the steel was improved obviously after introducing of FeS coatings, owing to that the coatings can provide better lubrication and improve the wear resistance.
H 1 N 1 ( SwineFlu ) Induced Pneumonia and Respiratory Failure Leading to Death in a Patient with Acute Myeloblastic Leukaemia : Case Report

H1N1 is an influenza A virus which is a member of the orthomyxoviridea family. Severe influenza A virus (H1N1) infection is associated with risk factors such as pregnancy, immunosuppression and obesity. Acute Myeloblastic Leukaemia (AML) is the most common acute leukaemia in adults. Immunosuppressed patients, such as those with AML, are more susceptible to infection with influenza and infection-associated complications. The case is here presented of a patient with AML where pneumonia and acute respiratory distress syndrome (ARDS) due to H1N1 infection during chemotherapy led to death on the 3rd day of treatment.
Confidence intervals for the between group variance in the unbalanced one-way random effects model of anaylsis of variance

A confidence interval for the between group variance is proposed which is deduced from Wald'sexact confidence interval for the rtio of the two variance components in the one-way random effects model and the exact confidence interval for the error variance resp.an unbiased estimator of the error variance. In a simulation study the confidence coeffecients for these two intervals are compared with the confidence coefficients of two other commonly used confidence intervals. There the confidence interval derived here yields confidence coefficiends which are always greater than the prescriped level.
Exploring the Role of Size in Use Behaviour of Knowledge Management System: An Australian Study

This paper reports a recent study investigating the role of business size in use behaviour of knowledge management system. A knowledge management system use behaviour model was developed from Ventatash et al.’s 1 unified theory of acceptance & use of technology model, and the developed model was tested by quantitative analysis of a collected dataset in Western Australia via partial least square (PLS) approach. The results of this study indicate there are no significant relation between business size and the use of knowledge management system. This is contrary to the traditional literature on information systems which generally reports that size does matter in information systems/information technology adoption and diffusion. The implications of the study are highlighted and future research directions are discussed.