Miracle-dz/UniFAR-FTUs huggingface dataset:
Text-Speak: Its Influence on the English Spelling Skills

This study aimed to determine the perceived influence of texting on the English spelling skills of the Teacher Education students of the West Visayas State University – Janiuay Campus (WVSUJC). It likewise aimed to determine the significant differences on the influence of texting on the English spelling skills of the students when they were grouped as to sex, course and year level and to ascertain the significant relationship between the students’ perceived influence of texting and their performance in English spelling. This study utilized the descriptive method in describing how texting or text messaging influenced the English spelling ability of WVSU-JC Teacher Education students. Two hundred five (205) randomly selected Teacher Education students were utilized as respondents of the study. Researchermade instruments such as English spelling test and a questionnaire checklist that described the influence of texting on the English spelling skills of the students were used to gather data. Means and standard deviation were used to describe the influence of texting on the English spelling skills of the students. The t-test and ANOVA were used to assess the significant differences on the influence of texting on the respondents’ English spelling skills and Pearson’s-r correlation was used to test the significant relationship between the students’ perceived influence of texting and their performance in English spelling. Results revealed that there was no significant relationship between the Teacher Education students’ perceived influence of texting and performance on their English spelling test and that texting moderately influence the English spelling skills of the Teacher Education students when the respondents were taken as an entire group and as to sex, course and year level. The English spelling skills of the Teacher Education students were good when the respondents were taken as an entire group and when the respondents were grouped as to sex, course and year level. The t-test results revealed no significant difference on the influence of texting on the English spelling skills of Teacher Education students when they were grouped as to sex and course; however, when they were grouped as to year level, there was a significant difference on the English spelling skills of the respondents. Pearson’s-r correlation results showed that there was no significant relationship between the Teacher Education students’ perceived influence of texting and performance on their English spelling test.
Genetic polymorphisms of GSTM1 and GSTT1 genes and endometrial cancer in Basrah, South of Iraq

The genes glutathione S- transferase M1 (GSTM1) and GSTT1 involved in phase II metabolism catalyse glutathione – mediated reduction of exogenous and endogenous electrophiles. A case control study was designed to identify the association between polymorphisms at GSTM1 and GSTT1 genes and endometrial cancer risk. While there was a lack of association between GSTM1 null genotype with the risk of endometrial cancer, the null genotype of GSTT1 had a 5.7 fold increased risk toward endometrial cancer (OR=5.76; 95% CI = 2.07-15.97). Both GSTM1, GSTT1 null genotype increased risk to about 3 fold. When stratified according to different grades of endometrial cancer the GSTM1 was more representative in grade III (OR=2.6), the association becomes stronger when the GSTT1 gene was also null (OR= 4.6).
Performance Comparison of GA, DE, PSO and SA Approaches in Enhancement of Total Transfer Capability using FACTS Devices

In this paper the performance of meta-heuristics algorithms such as GA (Genetic Algorithm), DE (Differential Evolution), PSO (Particle Swarm Optimization) and SA (Simulated Annealing) for the problem of TTC enhancement using FACTS devices are compared. In addition to that in the assessment procedure of TTC two novel techniques are proposed. First the optimization algorithm which is used for TTC enhancement is simultaneously used for assessment of TTC. Second the power flow is done using Broyden - Shamanski method with Sherman - Morrison formula (BSS). The proposed approach is tested on WSCC 9 bus, IEEE 118 bus test systems and the results are compared with the conventional Repeated Power Flow (RPF) using Newton Raphson (NR) method which indicates that the proposed method provides better TTC enhancement and computational efficacy than the conventional procedure.
Study of statistical properties of hybrid statistic in coherent multi-detector CBC Search

In this article, we revisit the problem of coherent multi-detector search of gravitational wave from compact binary coalescence with Neutron stars and Black Holes using advanced interferometers like LIGO-Virgo. Based on the loss of optimal multi-detector signal-to-noise ratio (SNR), we construct a hybrid statistic as a best of maximum-likelihood-ratio(MLR) statistic tuned for face-on and face-oﬀ binaries. The statistical properties of the hybrid statistic is studied. The performance of this hybrid statistic is compared with that of the coherent MLR statistic for generic inclination angles. Owing to the single synthetic data stream, the hybrid statistic gives low false alarms compared to the multi-detector MLR statistic and small fractional loss in the optimum SNR for a large range of binary inclinations. We have demonstrated that for a LIGO-Virgo network and binary inclination (cid:15) < 70 ◦ and (cid:15) > 110 ◦ , the hybrid statistic captures more than 98% of network optimum matched ﬁlter SNR with low false alarm rate. The Monte-Carlo exercise with two distributions of incoming inclination angles namely, U [cos (cid:15) ] and more realistic distribution proposed in [1] are performed with hybrid statistic and gave ∼ 5% and ∼ 7% higher detection probability respectively compared to the two stream multi-detector MLR statistic for a ﬁxed false alarm probability of 10 − 5 .
Merging of Ground-Based and Satellite-Derived Data of Surface Solar Radiation in City of Tirana, Albania

This paper compares how well satellite versus weather station measurements of climate predicts solar irradiance. We evaluate and compare solar insolation estimation data provided by NASA satellites with data of measurements made by two ground meteorological stations in Albania. Most of the available radiation data are based on satellite data, which is calculated from sun radiation (satellite). However, there is a lot of uncertainty in these calculations. Thus there are significant deviations between satellite-based data and ground-measured data, Comparison of solar data measured by two weather stations situated in two different sites within the city of Tirana, Albania, showed an annual overestimation satellite data of around 14 kWh/m2 month compared with ground data. Another influencing fact is the area, which is considered for the data. Satellite-based data refers to large areas, ground-measured data are exact. Two ground weather stations considered in our study, even their annual average solar energy is the same, their distributions through the months is different. We presume that this is effect of different anthropogenic activity in two sites. It was found that values of monthly average hourly direct normal irradiation from the measurements and those estimated from the proposed method are in reasonable agreement, with a root mean square difference of 6.5 to 11.7% and a mean bias of -11.2%.
Genetic diversity analysis using microsatellite marker in Labeo gonius (Hamilton, 1822) from two reservoirs of Uttarakhand

The present study deals with the assessment of genetic diversity using microsatellite marker in the fish Labeo gonius from Nanak Sagar and Dhaura reservoirs of Uttarakhand having different morpho-edhaphic features and selfrecruiting populations of this fish. These reservoirs are distantly located and distinctly separated without any connection having negligible possibility of gene exchange with each other. Total 20 microsatellite primers were designed by using software Primer-BLAST and Primer-3 and all the designed microsatellite primers were screened in all 100 DNA samples of fish collected from both the reservoirs. Out of 20 microsatellite primers selected and screened 12 microsatellite loci were successfully amplified. After PCR amplification of microsatellite loci and performing native PAGE using amplified DNA samples as above, POP GENE Version 1.32 was used to calculate Nei’s observed heterozygosity, expected heterozygosity, Nei’s genetic diversity, Fixation index (Fis) and Shannon’s information index (SI) and genetic variability indices viz. Gene flow(Nm), the coefficients of genetic differentiation ( Fst & Gst) and Nei’s genetic distance. Overall Gst value (0.1601) recorded for L. gonius suggested the possibility of less gene exchange among the two stocks and indicated that 16.01% variation was attributable to interstock divergence, while 83.99% to individual differences within the stocks. Nei’s genetic diversity, calculated from the banding pattern of every primer, ranged from 0.4368 to 0.6922 with mean value of 0.5732 for specimens from Dhaura reservoir whereas it ranged from 0.5136 to 0.8243 with mean value of 0.6770 in specimens from Nanak Sagar reservoir. The observed and expected heterozygosities ranged from 0.4769 to 0.4981(mean value0.4901) and 0.5014 to 0.5267(mean value0.5169) respectively in L. gonius from Dhaura reservoir. The observed and expected heterozygosities ranged from 0.4641 to 0.5314 (mean value0.5046) and 0.4768 to 0.5682 (mean value0.5225) respectively in Nanak Sagar reservoir stock. Slightly better level of observed heterozygosity observed in fish from Nanak Sagar reservoir than Dhaura reservoir might be due to more differentiated stock of Nanak Sagar. Lesser value of observed heterozygosity compared to expected heterozygosity in fish from Dhaura reservoir might be possibly due to increased inbreeding in successive generations owing to small population size restricting desired germplasm exchange of appropriate genetic diversity. These observations indicated that the L. gonius stock of Nanak Sagar reservoir is genetically more diverse and differentiated as compared to its stock from Dhaura reservoir.
Evaluating Election Platforms: A Task for Fiscal Councils? Scope and Rules of the Game in View of 25 Years of Dutch Practice

In some countries - the Netherlands, UK and USA - the expected economic implications of election platforms of political parties are evaluated by independent economic institutions prior to the election. This paper analyzes the merits and limitations of this process, taking 25 years of Dutch experience as a point of reference. In particular in times of financial crisis and unsustainable public finance, evaluation of election platforms can serve as a disciplining device for unrealistic or (time) inconsistent promises by politicians. More in general, it can help political parties to credibly inform voters about the implications of their platforms, to design more efficient policies and to reach consensus on them. It can also create a level playing field for political parties not represented in the government, in particular those with limited resources for economic information and expertise. However, there may be adverse effects, in particular when trade-offs are presented in an unbalanced way or when the rules of the evaluation provide too much room for gaming and free lunches.
Dipeptidyl Peptidase-4 Inhibitors, a New Option for the Management of Type 2 Diabetes Mellitus

Abstract Objective: Despite the diversity of antidiabetic medication currently available, less than half of the patients with type 2 diabetes meet the therapeutic targets recommended by the guidelines: HbA1c <7%, or even <6.5%. This study aimed to investigate the efficacy and safety of sitagliptin in patients with type 2 diabetes mellitus, with inadequate glycemic control, as well as the effects on cardiovascular risk factors. Material and method: The study included 348 patients, 161 men (46.3%) and 187 women (53.7%), with mean age of 56.1 ± 6.2 years, who started treatment with sitagliptin, combined with either metformin, sulphonylurea or both. Results and discussions: Sitagliptin improved glycemic control reducing average HbA1c with 1.1%; the average weight decreased with 1.7 kg after 24 weeks of treatment, and the lipid profile improved significantly. Conclusions: Sitagliptin offers a new therapeutic option in patients with type 2 diabetes mellitus, with the advantage of a single dose oral administration.
Modeling the permeability evolution of microcracked rocks from elastic wave velocity inversion at elevated isostatic pressure

[1] A key consequence of the presence of microcracks within rock is their significant influence upon elastic anisotropy and transport properties. Here two rock types (a basalt and a granite) with contrasting microstructures, dominated by microcracks, have been investigated using an advanced experimental arrangement capable of measuring porosity, P wave velocity, S wave velocity, and permeability contemporaneously at effective pressures up to 100 MPa. Using the Kachanov (1994) noninteractive effective medium theory, the measured elastic wave velocities are inverted using a least squares fit, permitting the recovery of the evolution of crack density and aspect ratio with increasing isostatic pressure. Overall, the agreement between measured and predicted velocities is good, with average error less than 0.05 km/s. At larger scales and above the percolation threshold, macroscopic fluid flow also depends on the crack density and aspect ratio. Using the permeability model of Gueguen and Dienes (1989) and the crack density and aspect ratio recovered from the elastic wave velocity inversion, we successfully predict the evolution of permeability with pressure for direct comparison with the laboratory measurements. We also calculate the evolution of the crack porosity with increasing isostatic pressure, on the basis of the calculated crack density, and compare this directly with the experimentally measured porosity. These combined experimental and modeling results illustrate the importance of understanding the details of how rock microstructures change in response to an external stimulus when predicting the simultaneous evolution of rock physical properties.
COMPUTER BASED TRAINER FOR SIGNAL AND SYSTEMS UNDERGRADUATE STUDENTS

University students demand many exercises for practicing during their undergraduate courses. Although there are many resources where they can find proposed exercises, specially for basic courses, these resources include a fixed and limited set of proposed exercises. The students usually want to repeat similar exercises till they are sure they have the skill to solve it. Additionally they demand fast feedback about their trials. With the development of the European Higher Education Area, the work of the students must be assessed and this could be seen as a higher workload for the instructors, so the development of tools that help in the assignment and assessment of students work is necessary. Here, a tool that automatically generates thousands of numerical and wording variations of the same exercise and automatically assesses the solution given by the student is presented. The selected exercise is the convolution of two signals, a basic exercise for Signals and Systems undergraduate course for Electrical and Electronic Engineering students. Wording variations of the exercise include discrete time and continuous time signals, to find the output of a linear and invariant system for a given input and different presentations of the signals (analytic expressions, graphical or tabulated representation for the time span where the signals have non zero values). Both wording and numerical variations are obtained from a single seed. The remainders of division of the seed by different divisors are calculated and used to obtain a large set of variations of the exercise. One of these remainders is used to group the variations of the exercise by difficulty grade. The teacher can use this tool to automatically assign personalized exercises for each student that attends his/her course. This personalized assignment makes the cheating among students more difficult than when the same exercise is assigned to all the students. The teacher can be sure that all the assignments are in the same difficulty group. Moreover, this tool automatically grades the solution given by the student, so can be used as an assessment tool by the teacher. The basic algorithm to generate the variations in this exercise could be extended to almost all typical exercises in Signal and Systems course.
Intentional Control of Type I Error Over Unconscious Data Distortion: A Neyman–Pearson Approach to Text Classification

ABSTRACT This article addresses the challenges in classifying textual data obtained from open online platforms, which are vulnerable to distortion. Most existing classification methods minimize the overall classification error and may yield an undesirably large Type I error (relevant textual messages are classified as irrelevant), particularly when available data exhibit an asymmetry between relevant and irrelevant information. Data distortion exacerbates this situation and often leads to fallacious prediction. To deal with inestimable data distortion, we propose the use of the Neyman–Pearson (NP) classification paradigm, which minimizes Type II error under a user-specified Type I error constraint. Theoretically, we show that the NP oracle is unaffected by data distortion when the class conditional distributions remain the same. Empirically, we study a case of classifying posts about worker strikes obtained from a leading Chinese microblogging platform, which are frequently prone to extensive, unpredictable and inestimable censorship. We demonstrate that, even though the training and test data are susceptible to different distortion and therefore potentially follow different distributions, our proposed NP methods control the Type I error on test data at the targeted level. The methods and implementation pipeline proposed in our case study are applicable to many other problems involving data distortion. Supplementary materials for this article, including a standardized description of the materials available for reproducing the work, are available as an online supplement.
CFD analysis of drag and convective heat transfer of individual body segments for different cyclist positions

This study aims at investigating drag and convective heat transfer for cyclists at a high spatial resolution. Such an increased spatial resolution, when combined with flow-field data, can increase insight in drag reduction mechanisms and in the thermo-physiological response of cyclists, related to heat stress and hygrothermal performance of clothing. Computational fluid dynamics (steady Reynolds-averaged Navier-Stokes) is used to evaluate the drag and convective heat transfer of 19 body segments of a cyclist for three different cyclist positions. The influence of wind speed on the drag is analysed, indicating a pronounced Reynolds number dependency of the drag, where more streamlined positions show a dependency up to higher Reynolds numbers. The drag and convective heat transfer coefficient (CHTC) of the body segments and the entire cyclist are compared for all positions at racing speeds, showing high drag values for the head, the legs and the arms and high CHTCs for the legs, the arms, the hands and the feet. The drag areas of individual body segments differ markedly for different cyclist positions whereas the convective heat losses of the body segments are found to be less sensitive to the position. CHTC-wind speed correlations are derived, in which the power-law exponent does not differ significantly for the individual body segments for all positions, where an average value of 0.84 is found. Similar CFD studies can be performed to assess drag and CHTCs at a higher spatial resolution for applications in other sport disciplines, bicycle equipment design or to assess convective moisture transfer.
Two-Period Resource Duopoly with Endogenous Intertemporal Capacity Constraints

This paper analyzes the strategic firm behavior within the context of a two-period resource duopoly model in which firms face endogenous intertemporal capacity constraints. Firms are allowed to invest in capacity in between two periods in order to increase their initial endowment of exhaustible resource stocks. Using this setup, we find that the equilibrium price weakly decreases over time. Moreover, asymmetric distribution of initial resource stocks leads to a significant change in equilibrium outcome, provided that firms do not have the same cost structure in capacity additions. It is also verified that if only one company is capable of investment in capacity, the market moves to a more concentrated structure in the second period.
Implementation of a GPS Reference Network for Precise Real Time Positioning in Recife, Brazil

Dr. Veronica M.C. Romao works in the field of satellite positioning since 1982, after studying Geodesy at the UFPE in Recife and at the UFPR in Curitiba. Dr. Romao spent four years at the Institut fur Erdmessung, where she received her Ph.D. in 1995. She is Professor at the Departamento de Engenharia Cartografica at UFPE in Recife since 1984. Her research interest focuses on the application of GPS for cadaster and GIS.
Type2 Diabetes susceptible loci PPARγ2 is not associated with Type1 Diabetes at age of ~30 In Bangladeshi healthy people.

Type 2 diabetes mellitus (T2DM) has become a global public health problem. In Bangladesh the disease has taken a turn of epidemic. This type of diabetes is known as silent killer disease affecting cardiovascular system especially heart and brain, eyes, kidney, nervous system and lower limbs. Genetic factors, sedentary habits, food habit and aging are the risk factors for the disease. In this study it was observed whether type 2diabetes susceptible loci PPARγ2 gene is associated with type 1diabetes. For this study 32 healthy male volunteers (age: 27±5) were included. Genomic DNA was extracted from the blood by Chelax method. For PPARγ2 Pro12Ala polymorphism analysis, PCR followed by Restriction digestion was done and subsequently products were visualized on 2% agarose gel after electrophoresis. Out of 32 subjects 26 (81.25%) were homozygous for Pro/Pro genotype, 6(11.75%) heterozygous for Pro/Ala heterozygous and none for Ala/Ala homozygous allele. No correlation between the polymorphism and age, BMI, systolic blood pressure, diastolic blood pressure, HDL cholesterol, LDL cholesterol, triglycerides, Random blood sugar, Glycosylated hemoglobin was observed. It can be concluded from the findings that, polymorphism in PPARγ2 gene is not associated with type 1diabetes and at the age group of ~30 it is not also associated with type 2 diabetes may be due to onset of type2 diabetes is above 40 age. *Corresponding Author: Abdullah Al Emran  emran_geb@yahoo.com