Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards Semantic Analysis of Training-Learning Relationships within Human-Machine Interactions

In this article First-Order Predicate Logic (FOL) is employed for analysing some relationships between human beings and machines. Based on FOL, we will be conceptually and logically concerned with semantic analysis of traininglearning relationships in human-machine interaction. The central focus is on formal semantics and its role in the ‘relationship’ between human beings and machines. The analysed relationships between a human being and a machine will support our thoughts on and contemplations over the HowNess of establishing formal semantics within humanmachine interaction.
Explaining tomato fruit growth by a multi-scale model on regulation of cell division, cell growth and carbohydrate dynamics

A multi-scale approach to model tomato fruit growth is proposed, in order to account for the interaction between gene functioning and growth conditions, and, ultimately, to explain the fruit phenotype of various genotypes in diverse growth environments. There is particular focus on: (I) cell division regulated by cell cycle genes, (II) cell expansion as influenced by polyploidy resulting from endoreduplication and carbohydrate and water dynamics. The growth processes at gene, cell and tissue, fruit and plant scale have been identified and included in the model. Sub-populations of cells differing in age are considered to act as sinks competing for carbohydrates. The key cell cycle genes of tomato were incorporated into an existing model of the gene regulatory network of the cell cycle. This model was modified to simulate endoreduplication. Moreover, the modelled cell cycle process was made sensitive to temperature and assimilate supply. The multi-scale approach required that a simulation could only proceed if a calculation task at a neighbouring scale had been performed. Preliminary model results indicate that cell number and ploidy level were very important in determining fruit growth. Subsequently, in the cell expansion phase, growth rate was limited by assimilate supply which in the end determined the realized fruit size. Observations at gene, cell and tissue scale are in progress in order to calibrate and validate the model, to enable reliable prediction of cell division and expansion of cells in tomato fruit tissues at contrasting conditions of temperature and carbohydrate supply.
The Method for Removing Rain in Multiple Images

The outdoor vision system under the condition of rain weather, especially when the intensity of rain is relatively high, the contrast of the images obtained is low and unclear which resulting in serious degradation. The traditional way to remove the rain is restricted by its strength, and the result is not satisfactory. According to the feature about that the vision system can obtain a plurality of consecutive different degraded images in a short time, this paper deals with multiple images to achieve the recovery. And according to the dynamic characteristics of rain and snow, the direction, strength, and shape of rain lines or snow lines are not fixed. It is difficult to establish a unified physical model in the spatial domain, but they are not affected by their dynamic characteristics in the frequency domain. This paper analyzes from the perspective of frequency domain, uses wavelet multi-level decomposition and wavelet fusion method to determine the specific layer of rain noise and formulates a fusion rule based on the degree of rain noise pollution. A certain number of layers of continuous degraded images are wavelet-fused to achieve the purpose of removing rain (snow). The simulation results show that the method proposed in this paper has satisfactory recovery results and is not subject to noise intensity.
The Dynamic Connections between Theory and Qualitative Approach

This paper takes stock of the role of theory in the humanities away from the usual notion that it has no place in qualitative inquiry. The paper then maps the broader view of qualitative approach in an academic writing, it goes further to diffuse some misunderstandings, analyses the specifics of qualitative research, and outlines some practical significances of theory in the humanities as a paradigm, or that which may inform our understanding of the phenomenon under exploration. The use of theory in an academic writing is seen as that which underpins research design, as a lens which may emerge from studies usually viewed as new knowledge. Some recommendations were made on how best to use a theory when reporting qualitative inquiry.
Does it Matter Who I Work For and Who I Work With? The Impact of Owners and Coworkers Birthplace and Race on Hiring and Wages

This paper investigates the effect of firm owners and coworkers on hiring patterns and wages. Firstly, I explore the potential mechanisms generating their interrelation. Using a search model where social networks reduce search frictions, I develop the theoretical implications of social ties between owners and workers for individual labor market outcomes. In the model, wages are derived endogenously as a function of the efficiency of the social ties of current employees. Firms decide whether to fill their vacancies by posting their offers or by using their current workersâ€™ connections. As a result, individuals with a more efficient connection tend to receive higher wages. These findings highlight the potential importance of social connections and social capital for understanding employment opportunities and wage differentials. Secondly,using a unique matched sample from an employer-employee administrative database and a survey of characteristics of small firm owners, I analyze the impact of the birthplace of employers and individual coworkers (native versus immigrant) on firm hiring patterns and average log wages. First, I explore the effect of owner type on the composition of new hires. The results show that firms with immigrant owners are more likely to hire immigrant workers. Moreover, among immigrant owners, this prevalence is especially strong for Hispanic and Asian workers. I also find that the probability that a new hire is a native, non-Hispanic white or black is higher for native firms. Second, I estimate the impact of owners and coworkers place of birth on wage differentials across worker types, controlling for workersâ€™ human capital. The results illustrate that much of the difference between the log annual wage of immigrants and natives comes from immigrantsâ€™ propensity to work in non-native owned firms, which pay the lowest average wages. Interestingly, though, native workers holding a job in immigrant firms are paid less than immigrant workers. The paper concludes by discussing the extent to which the empirical findings can account for the model.
Phytoplankton Development in a Highly Eutrophic man-made Lake From the Pampa plain of Argentina - a functional Approach

The phytoplankton structure and dynamics were analysed in relation to abiotic variables inPaso de las Piedras Reservoir, Argentina. Phytoplankton driving forces were explored using a functionalapproach. A total of 15 functional groups were identified among which D, P, H1, F, J and C were the mostimportant. A Canonical variate analysis indicated that the categorization of the species in functional groupsand its relationship with the temporal species clustering was not a random result. In the redundancy analysis, temporal ordination dynamics of functional groups was well described by the distribution of samples. Remarkable shifts in composition and biomass of phytoplankton occurred in agreement with changes in temperature, N:P ratio and transparency. The group succession could be summarized as: P/J (early summer)→P/ H1 (late summer)→P (early autumn)→P/F (late autumn)→C (early winter)→D (late winter)→Y (early spring)→D (early spring)→P (late spring). The majority of the associations detected were typical of eutrophichypertrophic systems. With the exception of H1, the groups that most contribute to biovolume were those characteristics of mixed aquatic environments, i. e. , non-stratifying lakes or deep, well-mixed epilimnia of stratifying lakes. The diversity indices, in terms of functional groups, were low, meaning that a small number of traits were present and/or that there was an inequitable distribution.
Analysis of Movie Opinion in Twitter Using Dynamic Convolutional Neural Network Algorithm

The movie has unique characteristics. When someone writes an opinion about a movie, not only the story in the movie itself is written, but also the people involved in the movie are also written. Opinion ordinary movie written in social media primarily Twitter.To get a tendency of opinion on the movie, whether an opinion is likely positive, negative or neutral, it takes a sentiment analysis. This study aims to classify the sentiment is positive, negative and neutral from opinions Indonesian language movie and look for the accuracy, precision, recall, and f-measure of the method used is Dynamic Convolutional Neural Network. The test results on a system that is built to show that Dynamic Convolutional Neural Network algorithm provides accurate results better than Naive Bayes method, the value of accuracy of 80,99%, the value of precision 81,00%, recall 81,00%, f-measure 79,00% while the value of the resulting accuracy Naive Bayes amounted to 76,21%, precision 78,00%, recall 76,00%, f-measure 75,00%. Keywords— sentiment analysis, movie opinion, twitter, Dynamic Convolutional Neural Network  ISSN (print): 1978-1520, ISSN (online): 2460-7258 IJCCS Vol. 12, No. 1, January 2018 : 1 – 10 2
Research about Listeria Sp., Salmonella Sp. And Others Contamination Indicators to Milk's and Cheese's Samples Sale in the South of Minas Gerais State

3 Abstract: A study was done in 112 milk samples and milk derivative samples, being 46 homemade cheese (QC) and industrialized cheese (QI) and 66 raw milk (LC) and pasteurized milk (LPC), in order to quantify mesophilics aerobics (AM), positive coagulase Staphylococci (SCP), MPN of totals coliforms (CT) and fecals (CF) and a research was made on E. coli, Salmonella sp. , Pseudomonas aeruginosa and Listeria sp. For Listeria, the FDA official methodology was adopted including cold enrichment stage (45 days /4°C) and microaerofilic system. Count averages of AM for QI (4.88x109 CFU g-1) were significantly different (P <0.05) from QC. SCP counting showed 47.83% (QC) and 34.78% (QI) which exceeded default value. Averages (MPN g-1) for CT were 2.39x105 (QC) and 2.48x105 (QI); and for CF was 1.67x105 (QI). E. coli was detected in QC: 78.26% and in QI: 60.87%, Salmonella sp. was isolated in QI: 8.70% and P. aeruginosa was isolated in 100% of QC and QI. Listeria sp. was isolated before and after of cold enrichment and it was identified L. innocua 6a, 6b, 4ab and untypable. In the milk sampling the positivity for E. coli was 75.76% (LC), 39.39% (LPC) and 12.12% with isolation of Salmonella sp in LPC. It was concluded by the results that both milk and cheese were disqualified for consumption for offering potential risks to public health.
A Study on Ethical Investment Behaviour among Malaysian General Insurance Fund Managers

The purpose of this paper is to investigate the Ethical investment behaviour and predictors which is relatively new field of study among a General Insurance Fund Manager in Malaysia in order to refine in an ethical behavioural scope. A questionnaire-based survey was used to collect data from fund managers and insurance asset managers who are working in all 52 companies of general insurance in Malacca and Negeri Sembilan states of Malaysia. Throughout this research, there were three major aspects investigated namely personal, social and demographic factors of General Insurance Fund Managers who were involved in investment activities. However, the major findings showed that social factors had played the biggest effect in conducting ethical investment behaviour in the insurance industry. Hence, other factors, for example, personal factor and demographic factor had significantly affected the General Insurance Fund Manager’s ethical investment behaviour and had directly given greater impacts to the performance of a socially responsible investment. Nonetheless, the implications of this study would be able to assist general insurance fund managers to determine the right directions and intentions of placing the funds and to manage it in an ethical manner. This study could also be used as a benchmark for specific investment activities because an ethical source was a main criterion to manage the clients’ funds and income in a good way. Furthermore, the findings offered valuable insights to policy makers in general insurance and to the consumers on the significance of the results.
End-to-End Considerations in Unification of High-Performance IO

The performance of modern distributed storage and computing frameworks considerably depends on the IO performance of the many storage and network devices involved. Fortunately, these IO devices have undergone a rapid transformation in the past decade and are now capable of delivering multi-Gigabits/sec bandwidths and ultra-low IO latencies. However, in contrast to IO devices, the performance improvements of single CPU have stalled in the same time period. Hence, the traditional notion of a single fast CPU connected to multiple slow devices no longer holds. Yet, IO stacks are still designed to optimize the CPU time by executing multiple services and routines on a fast CPU while a slow IO operation is in progress. This situation has led to a CPU-IO performance gap, where the CPU’s inability to keep up with the execution of thick software stacks and OS routines during a fast IO operation on high-performance network and storage devices limits the performance delivered to data-crunching applications. Multiple research efforts from industry as well as academia have been launched to improve this situation by reducing the hardware and software overheads by providing better IO interfaces, efficiently managing IO resources, and leveraging manycore CPUs for IO processing. However, these efforts exclusively either target the network or the storage stack but not the combination of both. In this thesis, we address this performance gap and advocate to take a holistic approach towards managing resources, data flows, and devices (network or storage) to form end-to-end data flows in a distributed setting. We first quantify the software and OS overhead in IO operations and and argue to reduce it by building upon the high-performance networking principle. The general philosophy of the principle is to recognize and separate the slow control setup from the fast data access path, and involve CPU/OS in the former only selectively in managerial roles. In the thesis framework, we extend the separation philosophy from networks to storage devices by identifying common themes in the evolution of their software stacks. After identifying common high-performance IO properties, we make a case to unify the network and storage stacks. We then design and build a proof of concept FlashNet, a unified software IO stack that uses highperformance networking abstractions and semantics to access remote storage. In accordance with the original separation philosophy, FlashNet allows the allocation and translation of both
Anionic Polysaccharides From Phototrophic Microorganisms Exhibit Antiviral Activities to Vaccinia Virus

The aim of the present study was to characterise anti-vaccinia virus activities of anionic exopolysaccharides TK V3 isolated from cyanobacterium Arthrospira platensis and an exopolysaccharide isolated from the rhodophyt Porphyridium purpureum, respectively. These substances have previously been shown to be active against other enveloped viruses. We determined the in vitro inhibition of GFP-expressing vaccinia virus replication of 50% at a concentration of 0.65 µg/ ml for EPS and of 0.78 µg/ml for TK V3. Substances also had an antiviral effect against ectromelia virus which is a most distinct orthopoxvirus genetically and the causative agent of mousepox. Anti-vaccinia virus and anti-ectromelia virus activities were demonstrated to increase with decreasing multiplicity of infection. Furthermore, non-toxic reduction of vaccinia virus in ovo replication was shown. Using time-of-addition assays, inhibition of viral entry by polyanionic substances was verified. EPS and TK V3 derived from phototrophic microorganisms represent novel anti-orthopoxvirus substances.
Structural Safety Monitoring of High Arch Dam Using Improved ABC-BP Model

The establishment of a structural safety monitoring model of a dam is necessary for the evaluation of the dam’s deformation status. The structural safety monitoring method based on the monitoring data is widely used in traditional research. On the basis of the analysis of the high arch dam’s deformation principles, this study proposes a structural safety monitoring method derived from the dam deformation monitoring data. The method first analyzes and establishes the spatial and temporal distribution of high arch dam’s safety monitoring, overcoming the standard artificial bee colony (ABC) algorithm’s shortcoming of easily falling into the local optimum by adopting the adaptive proportion and average Euclidean distance afterwards. The improved ABC algorithm is used to optimize the backpropagation (BP) neural network’s initial weight and threshold. The application example proves that ABC-BP model’s improvement method is important for the establishment of a high arch deformation safety monitoring model and can effectively improve the model’s fitting and forecasting ability. This method provides a reference for the establishment of a structural safety monitoring model of dam and provides guidance for the establishment of a forecasting model in other fields.
Ameliorative Effect of the Flavonoid Rich Fraction of Monodora myristica (Gaertn) Dunel Seed Extract against Carbon Tetrachloride-Induced Hepatotoxicity and Oxidative Stress in Rats

The study investigated the protective effect of the flavonoid rich fraction (FRF) of M. myristica on carbon tetrachloride induced hepatotoxicity and oxidative stress in experimental animals. Wistar albino rats of both sexes were maintained on 1.0 ml/kg b.wt of carbon tetrachloride to induce hepatotoxicity and oxidative stress. Added to this, the animals received FRF at a dose of 250 or 500 and 100 mg/kg b.wt of silymarin for 8 days. At the end of the experiment, levels of serum hepatic enzyme biomarkers (SGOT, SGPT and SALP) as well as lipid peroxidation product (MDA) and total bilirubin were significantly raised in the CCl4 treated groups. Conversely, CCl4 administration elicited obvious decline in enzymatic antioxidants activities and non-enzymatic antioxidants (GSH, CAT, SOD, vitamin C, vitamin E) co-administration with FRF of M. myristica at varying doses as well as silymarin substantially decreased the elevated levels of the serum hepatic enzyme biomarkers as well as MDA in the CCl4 treated groups in a dose dependent manner. Additionally, FRF of M. myristica exhibited reversal potential on CCl4 toxicity at the tested doses as its administration resulted to a pronounced increase in GSH, SOD and CAT levels. Histopathological results demonstrate that FRF of M. myristica is effectual in the amelioration of hepatic damage and oxidative stress arising from CCl4 induced hepatotoxicity. These results establish the effectiveness of the flavonoids of M. Myristica in the amelioration of hepatic damages arising from CCl4-induced toxicity which is manifest by the bioaccumulation of free radicals in our animal models.
Enhancing the Activity of Peroxisome Proliferator- Activated Receptors(PPAR) Activity through Natural Ligand Binding in Diabetes: SubstantialComputational Approach

Background: Traditional medicines have been potential in regulating blood glucose control, leading to herbal treatment to manage diabetes from long time. Diabetes is proving to be a major problem throughout the world in the recent years. In spite of synthetic medications available in the market, to reduce the ill effects of diabetes and its secondary complications, herbal formulations are preferred due to less side effects and low cost. Objective: The present study attempts in studying antidiabetic property of an unexploited plant, Exacum pedunculatum, belonging to Gentianaceae family, from the Western Ghats of India. Methodology: The dried plant material was subjected to extraction for isolating compounds which was purified to obtain biguanide compound and screened in silico to study the antidiabetic nature of the compound. Result: Promising phytochemicals are present in the extract of the plant. Exacum pedunculatum which was further studied in silico for the drug activity. The experiment showed that the bioactive compound isolated from the selected plant showed higher activity than the drug molecule (Metformin) available in the market. Conclusion: As diabetes is a multifactorial disease leading to several complications, and demands a multiple therapeutic approach; medicinal plants are being looked up once again for the treatment of diabetes. There is a need for conducting clinical research in herbal drugs, developing simple bioassays for biological standardization, pharmacological and toxicological evaluation, and developing various animal models for toxicity and safety evaluation. It is also important to establish mechanism of action of the active components from these plant extracts.
Computing the accuracy of complex non-random sampling methods: The case of the Bank of Canada's Business Outlook Survey

A number of central banks publish their own business conditions survey based on non-random sampling methods. The results of these surveys influence monetary policy decisions and thus affect expectations in financial markets. To date, however, no one has computed the statistical accuracy of these surveys because their respective non-random sampling method renders this assessment non-trivial. This paper describes a methodology for modeling complex non-random sampling behaviour, and computing relevant measures of statistical confidence, based on a given survey's historical sample selection practice. We apply this framework to the Bank of Canada's Business Outlook Survey by describing the sampling method in terms of historical practices and Bayesian probabilities. This allows us to replicate the firm selection process using Monte Carlo simulations on a comprehensive micro-dataset of Canadian firms. We find, under certain assumptions, no evidence that the Bank's firm selection process results in biased estimates and/or wider confidence intervals.
OPTIMIZATION OF A LOUVERED FIN HEAT EXCHANGER WITH INDIVIDUALLY VARIABLE LOUVER ANGLES

In this study, a round tube and fin geometry with individually varying louver angles is analyzed. The thickness of the fin was neglected. Any interactions between the optimal louver angles and the fin thickness are hence not c aptured. A laminar and steady calculation was performed, with symmetric boundary conditions. For the Reynolds number on the hydraulic diameter (Re Dh ) of 535 that was studied, a Von Karman vortex street is present behind the last tube row of heat exchanger. The steady calculation is hence only an approximation o f the reality, but is shown to give reasonable results. An ordinar y kriging response surface model was used to explore the enti re parameter space. Updates to the model were made on the basis of improving the Pareto front, visualizing the trad eoff between heat transfer and pressure drop. It is shown that t he use of individually varying louver angles allows increasin g the Colburn j factor by 1.3% for the same friction fact or, with respect to the optimal uniform louvered fin configu ration.