Miracle-dz/UniFAR-FTUs huggingface dataset:
THE APPLICATION OF DATA MINING METHODS FOR THE PROCESS OF DIAGNOSING DISEASES

Today, the medical field has a large amount of medical information that requires proper processing and further use in the diagnosis and treatment of various diseases. The development of computer technology provides tremendous opportunities for collecting, processing, managing and researching medical information to better understand the complex biological processes of life and help solve the problem of diagnosis and treatment in medical institutions. Accurate diagnosis and proper treatment provided to patients is one of the main tasks of medical care. Therefore, data mining techniques, which are part of knowledge discovery in databases, are becoming popular tools for medical researchers. The use of these tools makes it possible to identify and use patterns and relationships between numerous variables and to predict specific disease and treatment outcomes. This paper describes the application of data mining methods for the process of diagnosing diseases. To improve the effectiveness of the methods of data mining for the process of diagnosing diseases, a procedure for assessing the informativeness of heterogeneous diagnostic indicators on the basis of a theoretical information approach has been proposed. The results of diagnosing are described on the basis of revealing the relationship between the supply of magnesium and the risk of somatic diseases with the use of intelligent data analysis.
Inflation Targeting and World Monetary Shocks: Evidence from Developing Economies

The paper assesses the co-movement of local and foreign interest rate for developing countries with a full-fledged inflation targeting framework during and after the 2008 financial crisis. A panel linear optimizing monetary model is estimated by the fixed effects with spatial correlation standard errors over quarterly span from Q12007 to Q2 2019. The results suggest that inflation targeters are highly vulnerable to external monetary shocks, even after years of notable efforts to de-dollarization and complete shift towards a full-fledged inflation targeting. From a regime evaluation prospective, the inflation targeters’ response to world monetary shocks is compared to that of a group of fixed exchange rate rule economies and managed exchange rate countries with other monetary regimes. The findings provide evidence that inflation targeting countries are not different in their interest rate response to world monetary shocks compared to non-inflation targeting countries’, and instead of having more flexibility, inflation targeters show stronger reaction to world monetary shocks. These results are found robust when generated out from different subsamples and under assumptions of strict and flexible inflation targeting and policy inertia. The findings indicate that adopting inflation targeting as a framework for monetary policy does not by itself support the overall macroperformance and independence of monetary policy or force continuing commitment to the inflation targeting conditions.
TRENDS , PERFORMANCE AND GENERAL OPERATION OF THE GRAPHIC PROCESSING UNIT.

A computer graphics card is an additional peripheral that enhances the performance of rendered graphics. Recently, there has been an increasing interest in general purpose computation on graphics hardware. The ability to work independently alongside the CPU as a coprocessor is interesting but not motivating enough to learn how to apply problems to the graphics domain. This paper analyzes the overall architecture of the GPU and its performance.
Ozone effects on root-disease susceptibility and defence responses in mycorrhizal and non-mycorrhizal seedlings of Scots pine (Pinus sylvestris L.).

Interactions between ozone and biotic stress caused by a pathogen, Heterobasidion annosum (Fr.) Bref. , in mycorrhizal [Hegeloma crustuliniforme (Bull, ex St. Am.) Quel. ] and non-mycorrhizal Scots pine seedlings were investigated using a semi-axenic model system. Ozone exposure (200 nl 1-1 , 8 h d-1 for 28 d) increased disease incidence significantly, but mycorrhizal infection completely prevented this negative effect. The presence of the pathogen on the root systems was necessary for the induction of changes in the soluble and wall-bound secondary compounds of roots and needles; ozone alone did not induce such changes. Mycorrhizal infection appeared to have a dampening effect on the induction of these compounds. H. annosum induced a significant accumulation of the two pine stilbenes both locally and systemically in the more susceptible seedlings. In these seedlings ozone had a significant positive effect on the accumulation of both stilbenes in the roots, but it reduced pinosylvin and had no effect on pinosylvin 3-methyl ether in the needles. The catechin content of the roots decreased in the same infected seedlings, but to a larger degree upon ozone treatment. One compound of as yet unknown structure accumulated gradually in the infected roots over the experimental period, and could thus be associated with resistance. Its accumulation was little affected by ozone treatment. Among the root cell wall-bound phenolics analyzed, only lignin-like material showed significant changes. The presence of the pathogen was again necessary for induction, but ozone had an inhibitory effect on this response. Pure pinosylvin applied through the hypocotyls of excised seedlings was shown to be phytotoxic, with the needles displaying discoloration and wilting as observed after pathogenic inoculation, and being characterized by a lower chlorophyll content and increased transpiration. Accumulation of pinosylvin in the needles was detected at amounts comparable to those found in the main experiment.
A quantitative comparison of the precipitation behavior of lignin from sweetgum and pine kraft black liquors

Lignin is a by-product of the pulp and paper industry that can be precipitated by acidification from black liquor as a potential feedstock for valuable green materials. Precipitation and quantification of lignin from softwood black liquors have been documented and commercialized with well-established methods; however, applying those methods to the precipitation of lignin from hardwood black liquors has produced low lignin yields. A need to understand the main differences between hardwood and softwood lignin precipitation prompted the current investigation. Multiple black liquor samples from sweetgum and pine pulping were obtained at different times of standard kraft cooks. Two lignin fractions were precipitated from each of these black liquors, one at pH 9.5 and one at pH 2.5. Detailed lignin and carbohydrate material balances were performed around each of the sample sets, starting with the wood and ending with precipitated lignin fractions. For all conditions tested, the amount and purity of pine lignin precipitated were superior to sweetgum lignin. The maximum recovery for sweetgum lignin was 69.7%, while for pine lignin, it was 90.9%.
Patterns of contemporary phenotypic selection and flower integration in the hummingbird‐pollinated Nicotiana glauca between populations with different flower–pollinator combinations

We studied six populations of the hummingbird-pollinated Nicotiana glauca to determine if the marked differences in the degree of floral-pollinator mismatch between populations promote divergences in the pattern of pollinator-mediated phenotypic selection on single traits and on the evolution of complexes of many interacting floral traits. We found evidence that flower phenotype is being shaped by pollinator-mediated phenotypic selection, since corolla length was consistently under contemporary directional or stabilizing selection. Weak directional selection for longer corollas was found in two populations with low flower–pollinator mismatch; much stronger directional selection was detected for shorter corollas in two populations with high flower–pollinator mismatch; finally, the remaining two populations with intermediate flower–pollinator mismatch showed stabilizing selection for corolla length. N. glauca populations differed in every flower character measured but variations in pollinator-mediated selection among populations were only observed for corolla length. Multiple covariation among traits was favoured, as suggested by the predominately functional patterns of integration and selection of complexes of many interacting floral traits. This was consistent with the patterns of correlational selection exhibited by four of the six populations, where corolla length was under significant selection in combination with corolla width, style length or stamen length. Overall floral integration was relatively high in all populations but phenotypic integration patterns were not clearly accounted by the degree of flower–pollinator mismatch or type of phenotypic selection, suggesting that trait covariation at the entire flower level is not explained by the current scenario of pollinator-mediated selection.
Development of an Adaptive Neuro-Fuzzy Inference Strategy (ANFIS) for speed control of Induction Motor

— The paper proposes to develop an Adaptive Neuro Fuzzy Inference Strategy (ANFIS) to control the speed of an induction motor. Speed control of an induction motor is significant aspect to produce maximum torque and efficiency. Induction motors exhibit highly non-linear properties, makes it difficult to control. Artificial Neural Network (ANN), Fuzzy logic based controllers are potential candidates for such applications, due to their flexible nature of operation. The basic structure of the ANFIS coordination controller consists of fuzzification, knowledge base, neural network and de-fuzzification. The fuzzification unit converts the crisp data into linguistic variables, as inputs to the rule based block. The set of rules are written on the basis of previous knowledge / experiences in rule based block and are provided to neural network block. Back propagation algorithm is used to train neural network to select proper set of rule base. After rules are selected and fired, control signal is obtained and the optimal outputs are generated. The output of the ANN unit is applied to the de-fuzzification unit and the linguistic variables are converted back into crisp form. By comparing ANFIS controller with other models, it is evident that the addition of learning algorithm to the control system will reduce the rise time and improves performance.
E-government Readiness Assessment for Government institutions in Burundi

Electronic government (E-government) refers to the use of Information and Communication Technology, and specifically the Internet, as a tool to achieve better government. Indeed, Information and Communication Technology have been introduced in the government sector in the past two (2) decades in an attempt to achieve greater operational efficiency and effectiveness and e-government development is one of the most important factors of public sector rationalization, as well as faster countries' development. Given the growing development of e-government strategies worldwide, the Government of Burundi has also recently taken several measures by introducing e-government services for ensuring easy access to government information and success. The paper has then assessed the e-government readiness of several Government institutions in Burundi. The paper has used a qualitative approach and a framework provided by the European Commission to assess the e-readiness of public institutions. Several interviews with key respondents and an extensive desk review were conducted to ensure an effective data collection process. Hence, the paper revealed that Burundi has one of the lowest e-readiness rate worldwide and comes in at the low end of most of the rankings. The major causes being the lack of political will and the development level of the country. E-government being a good governance reform, the Government of Burundi must ensure a proper political will and sound administrative activities to make the journey to an implementation of e-government more effective.
Effect of Compost, Farmyard Manure and/or Chemical Fertilizers on Potato Yield and Tuber Nutrient Content

ABSTRACT Potatoes (Solanum tuberosum L.) cv. Cara were cultivated over two years in an experimental plot at the University of La Laguna, Tenerife, Spain. Treatments consisted of fertilizing with single supply or binary combinations of commercial sheep manure compost, farmyard manure, ammonium nitrate and multicote (17-17-10 NPK coated fertilizer). A control without fertilizers was included to give ten treatments with four replications each, following a randomized blocks statistical design. Fertilizer rates were determined to supply 168 kg of N ha−1, in accordance with normal rates of N used by farmers. Each fertilizer of binary combinations supplied 50% of N. A rotation with lupin (Lupin us albus) preceded potato plantation. At flowering, lupin was cut and left on the soil as green manure. Potatoes were sown one month after cutting lupin. In both years of the assay, soil samples were taken twice from each treatment, the first sampling after cutting lupin, and the second 3 months after potato planting. All the measured soil parameters (pH, organic matter, total N, and available P, K, Ca and Mg) were within the ranges suited for potato development. Treatments did not affect these ranges. Potato yields were similar in all the treatments during the first year of cultivation, although in the second year potatoes that received ammonium nitrate, multicote, compost plus multicote or farmyard manure plus multicote gave significantly higher yields than those subjected to the other treatments. Control potatoes were the least productive in 1997. No clear behaviour of nutrient concentrations in tubers (N, P, K, Ca, Mg, Cu, Fe, Mn and Zn) was detected in relation to treatments. On the other hand, no correlations were observed among the studied parameters of the soils and/or the tubers.
Effect of K-Modulus Method on JPEG Compression and Hill Cipher Encryption

—Data compression reduces the data storage size, whereas encryption provides security for the images which are placed on the transmission channel. This paper presents use of K-Modulus transformation to transform the pixels in the image into multiples of predefined integer value. The division of the whole image by that integer will guarantee that the new image is surely less in size from the original image but the correlation between the pixels will be high.K-MM is used along with JPEG to increase the compression ratio and PSNR value, which would have been less if used without it. For image encryption we used Hill Cipher algorithm which is one of the symmetric key algorithms that have several advantages in data encryption.
Research on the Relationship Between FinTech Attention and Its Sector Returns

With the development and application of Internet technology, investors usually use Internet search engine to investigate the corporation and related information before making investment decision. As a result, Internet search engine has become an indicator of investors’ attention. This paper uses FinTech Baidu index derived from Baidu public platform to measure investors' attention, as well as FinTech index from Shenzhen stock exchange, whose index code is 399699. SZ. The index data covers a date range from June 9, 2017 to June 30, 2019. Empirically, this paper discusses the impact of online attention on the stock returns of financial science and technology sector. A vector auto-regressive (VAR) model is built to reveal the correlation between Fintech investor attention and its sector returns. Furthermore, the granger causality, impulse response and variance decomposition are analyzed. Granger causality test result indicates that FinTech investor attention is the granger cause of the stock returns of Fintech sector, and conversely the stock returns of Fintech sector are not the cause of FinTech investor attention. That is, FinTech online attention has a certain impact on the stock returns of Fintech sector. Impulse response indicates that the impact of FinTech online attention is positive, but the effect lasts in a short term. The conclusions play an important role for investors to understand the hotspot attention on FinTech which is a new emerging market investment opportunity, and provide a general knowledge about the relation between Fintech attention and market returns.
Pregnancy Rate and Blood Progesterone Concentrations on the Previous Day and the Day of Frozen Embryo Transfer in Parous Recipient Cows of Japanese Black

Blood progesterone (P) concentrations were determined on the previous day (6 days after onset of estrus; day 6) and the day of embryo transfer (7 days after onset of estrus; day 7) in recipients of Japanese Black beef cow to clarify the correlation between luteal function and pregnancy rate in the stepwise transfer method of frozen Japanese Black embryos. When the blood P concentrations on both day 6 and day 7 in the bovine recipients increased, the pregnancy rate also tended to increase. Pregnancy rates in the recipients with blood P concentration <2.5 ng/ml and ≥2.5 ng/ml on day 6 were 38.6% (17/44) and 60.7% (34/56), respectively, showing a significant (P<0.05) difference. The pregnancy rate in the recipients with blood P concentration <2.5 ng/ml on day 7 was 35.7% (10/28), while the corresponding rate was 56.9% (41/72) in the recipients with blood P concentration of ≥2.5 ng/ml, showing no significant difference. The pregnancy rate in the recipients in which blood P concentration was <2.5 ng/ml on day 6, and increased to ≥2.5 ng/ml on day 7 was low at 45.0% (9/20), while the rate in the recipients which showed blood P concentration of ≥2.5 ng/ml on both day 6 and day 7 was as high as 61.5% (32/52). The relationship between the blood P concentration and luteal development on day 6 corresponding to pregnancy rate was investigated by dividing corpus luteum (CL) into the following three groups by rectal palpation findings : favorably developing, poorly developing and cystic groups. The mean blood P concentration was 2.8 ng/ml in the favorably developing CL, whereas the levels were as low as 2.0 ng/ml and 2.1 ng/ml in the poorly developing CL and cystic CL, respectively. The pregnancy rate for the favorably developing CL was 55.3% (42/76) which tended to be higher than for the poorly developing CL, (44.4% (8/18)), and cystic CL, (16.7% (1/6)), respectively. These observations showed that a high pregnancy rate is achieved by selecting cows with blood P concentration of ≥2.5 ng/ml on day 6 and day 7 of embryo transfer.
THE POLICY OF TEACHER IN-SERVICE TRAINING (TST) IN INDONESIA

Teachers are one key element in the education system, particularly at schools. In fact, there is growing public awareness that no teachers, no formal education. There is no qualified education without the presence of professional teachers in sufficient number. One of the ways for teachers who were already employed to gain access to new developments in education is to receive TST. This article aims to; analyze the policy of TST, identify factors influencing effectiveness of TST, and develop of model TST in Indonensia. The study result shows that there are two paths of training and development of teaching profession in Indonesia; the first is professional training and the improvement of various teacher’s competencies; second is career training and development. The factors influencing the effectiveness of TST in Indonesia include suitability of teacher qualifications and competencies, mastery of education and teaching technologies, presentation of training program, and evaluation technique. Some things to be developed in the future to improve teacher quality in Indonesia includes high standard recruitment system, professional development by research-based, integration of technology in teacher education and professional development, and effective evaluation system.
Sweat lactate response during cycling at 30°C and 18°C WBGT

Sweat lactate reflects eccrine gland metabolism. However, the metabolic tendencies of eccrine glands in a hot versus thermoneutral environment are not well understood. Sixteen male volunteers completed a maximal cycling trial and two 60-min cycling trials [30°C = 30±1°C and 18°C = 18±1°C wet bulb globe temperature (WBGT)]. The participants were requested to maintain a cadence of 60 rev · min−1 with the intensity individualized at ∼ 90% of the ventilatory threshold. Sweat samples at 10, 20, 30, 40, 50 and 60 min were analysed for lactate concentration. Sweat rate at 30°C (1380±325 ml · h−1) was significantly greater (P<0.05) than at 18°C (632±311 ml · h−1). Sweat lactate concentration was significantly greater (P<0.05) at each time point during the 18°C trial, with values between trials tending to converge across time. During the 30°C trial, both heart rate (20, 30, 40, 50 and 60 min) and rectal temperature (30, 40, 50 and 60 min) were significantly higher than in the 18°C trial. Higher sweat lactate concentrations coupled with lower sweat rates may indicate a greater relative contribution of oxygen-independent metabolism within eccrine glands during exercise at 18°C. Decreases in sweat lactate concentration across time suggest either greater dilution due to greater sweat volume or increased reliance on aerobic metabolism within eccrine glands. The convergence of lactate concentrations between trials may indicate that time-dependent modifications in sweat gland metabolism occur at different rates contingent partially on environmental conditions.
Panjer Randomized Fibonacci Model and Dynamic Instabilities in Population Growth Models

Although Fibonacci’s numbers play an important role in modeling phenomena in a wide variety of subjects, their use as descriptors of population growth has clearly been rather restricted after the introduction of the Verhulst logistic model and its numerous modifications and extensions. In fact, in the very unrealistic Fibonacci model neither population extinction nor bounded growth are possible, only quasiexponential unbounded population growth can result. We present a modified model assuming that the number of direct offsprings of each ancestor is a Bernoulli random variable, hence with positive probability of 0 count, and thus accommodating both extinction and possible sustainable growth. We compare algebraic and numerical treatment of equations using the fixed point method in the framework of instabilities of numerical algorithms for finding roots of equations. On the othe hand, branching processes are natural models for random population growth in many situations. Here we use basic count models whose probability mass function satisfies Panjer iteration, and investigate randomly stopped sums and collective risk when the subordinator random variable and the summands are independent and identically distributed basic count random variables.