Miracle-dz/UniFAR-FTUs huggingface dataset:
INVESTIGATING THE PSS AND STATCOM SIMULTANEOUS OPERATION IN TRANSIENT STABILITY OF POWER SYSTEMS

Power system stability is necessary to guaranty its right operation. In early years using FACTS devices as a one of effective methods for improving the performance of system controllability and power transmission limitations is presented. Considering the non linear characteristic of power system the linear methods are not convenient for designing the stabilizers. In this paper, the non linear method of power system is considered for simultaneous designing of power system stabilizer (PSS) and static synchronous compensator (STATCOM). Moreover, simultaneous designing of power system stabilizer (PSS) and static synchronous compensator (STATCOM) is represented by PSO algorithm. Comparing this algorithm with other intelligent algorithms existing in Condor four-machine system, Indicates the more efficiency of this algorithm.
Partitioning of Genotype-Environment Interaction in Sugarcane (Saccharum spp.): Variance Component Analysis

Genotype-environment (GE) interaction in sugarcane (Saccharum spp.) is very important under Ethiopian agroecological and climatic conditions. However, yield trials conducted in Ethiopia are customarily handled using fixed models which consider the crop year and location effects as fixed. The study was conducted to partition and compare the relative importance of the components GE interaction and estimate the repeatability of yield trials using both fixed and mixed models. Forty-three genotypes along with the six commercial varieties were evaluated over four crop years and across five locations using simple lattice design. Data of yield, yield components and yield qualities were collected and subjected to analysis of variance (ANOVA) and variance component analysis. Variance component analysis indicated large and highly significant estimates of genotypic and Genotype-Location-Crop year (GLC) interaction effects for all yield traits thereby suggesting strong genotypic effect and excess crossover interaction, respectively. Regarding to the relative importance of the components of the genotype-environment (GE) interaction, genotype effect was more important for cane yield components and yield quality traits than others while GLC interaction was more important for cane and sugar yields than other components. Generally, the variance component and broad sense heritability estimates revealed the effect of GLC interaction was prevalent. It implicated a substantial selection gain could be attained from conducting variety trials across locations and over crop years under Ethiopian agro-climatic conditions. Moreover, the heritability estimates obtained from GLC and GE models indicated better repeatability of the experiments in which the later model showed overestimation of broad sense heritability values. Thus, we recommend the use of GLC model in sugarcane METs conducted across locations and repeated over crop years.
Tracking Algorithm for Estimating the Orientation Angles of the Object Based on the Signals of Satellite Radio Navigation System

In the article, the theory of optimal filtering of information processes is used to synthesize optimal one-stage estimation algorithm for the object orientation angles using the signals of the satellite navigation system. The article also provides equations of optimal filtering, as well as their representation in the form of the tracking system comprising of an orientation angles discriminator and a smoothing filter. The synthesized algorithm has no tracking systems for the phases of the received signals (or phase differences) and the procedures for resolving the ambiguity of phase measurements that enhance its noise immunity while maintaining high precision in estimating the orientation angles. The article provides expressions for the calculation of the Cramer-Rao lower limit for the dispersion errors matrix for estimating object orientation angles when receiving signals of an arbitrary number of navigation satellites. The results of the simulation of the synthesized system are provided in the study.
Dynamic Simulations of a Novel RF MEMS Switch

We present a dynamic analysis of a novel RF MEMS switch utilizing the dynamic pull-in phenomenon. We study this phenomenon and present guidelines about its mechanism. We propose to utilize this phenomenon to design a novel RF MEMS switch, which can be actu- ated by a voltage load as low as 40% of the traditionally used static pull-in voltage. The switch is actuated us- ing a combined DC and AC loading. The AC loading can be tuned by altering its amplitude and/or frequency to reach the pull-in instability with the lowest driving voltage and fastest response speed. The new actuation method can solve a major problem in the design of RF MEMS switches, which is the high deriving voltage re- quirement. In this work, we propose a novel RF MEMS switch that can be actuated by a voltage load as low as 40% of the static pull-in voltage. The new actuation method is based on the dynamic pull-in phenomenon, in which the switch is brought to pull-in by a voltage lower than the static pull-in voltage. The dynamic pull-in phenomenon has been previously reported and analyzed for switches actuated by a step voltage (2,3) and various ramping rates (2). Both studies (2,3) indicate that the dynamic Figure 1: A schematic of an electrically actuated mi- crobeam. pull-in voltage can be as low as 91% of the static pull- in voltage. In the presence of squeeze-film damping, the dynamic pull-in voltage is shown to approach the static pull-in voltage (3). Here, we propose to actuate the switch using a combined DC and AC loading. The AC loading can be tuned by altering its magnitude or frequency to reach the pull-in instability with the lowest driving voltage and fastest response speed. In (4-7), we presented a model, which predicts the static pull-in phenomenon. In (8), we utilized pertur- bation methods to predict the dynamic behavior of res- onators undergoing small motions near the equilibria. In (6,7), we developed a reduced-order model to simu- late the static and dynamic behaviors of resonators and switches undergoing small or large motions. In this pa- per, we use the reduced-order model in (6,7) to simu- late the dynamic behavior of the proposed RF MEMS switch. We utilize a shooting technique (9) and long- time integrations of the equations of motion to predict periodic motions. This approach can be applied to a wide range of loadings and initial conditions, and hence it can be used to study the 'global' dynamics of switches (unlike the model presented in (8), which is based on perturbation methods and applicable for small motions near the equilibria). We use the global approach to demonstrate the new actuation method.
Diversity analysis of green gram (Vigna radiata (L.) Wilczek)through morphological and molecular markers

: Twenty-three genotypes of green gram ( Vigna radiata (L.) Wilczek) were collected to determine the extent of genetic diversity through morphological characters as well as random amplified polymorphic DNA (RAPD), inter-simple sequence repeat (ISSR), and simple sequence repeat (SSR) fingerprinting results. Analysis of variance revealed significant mean square values that indicated a substantial degree of genetic variability among the genotypes. Significant genetic variance was observed for days to 50% maturity, days to maturity, plant height (cm), number of branches/plant, number of pods/plant, pod length (cm), 1000-seed weight (g), seed yield/plant (g), biological yield (g), and harvest index (%) during cultivation in three different environments. Hierarchical Euclidean and cluster analysis based on 10 morphological characteristics grouped all 23 genotypes into three divergent clusters. RAPD (15), ISSR (13), and SSR (10) markers produced a total of 216 bands, of which 190 exhibited polymorphism. The similarity coefficients were significant for all markers; however, they were higher in ISSR than in RAPD or SSR. In the UPGMA dendrogram based on the combined morphological, RAPD, ISSR, and SSR results, the 23 genotypes were divided into three main clusters. The present study revealed that morphological and molecular markers may be successfully utilized for determining genetic diversity and relationships in green gram genotypes and could be used in green gram breeding programs.
EXISTENCE OF POSITIVE SOLUTION FOR A NONLINEAR THREE-POINT BOUNDARY VALUE PROBLEM

The existence of positive solution is obtained for the following nonlinearthree-point boundary value problem\begin{equation*}\left\{\begin{array}{l}u^{\prime \prime }(t)+a(t)f(u(t))=0,\quad t\in (0,1) \\[12pt]\beta u(0)-\gamma u^{\prime }(0)=0,\quad u(1)=\alpha u(\eta ),%\end{array}%\right. \end{equation*}%where $$\beta ,\gamma \geq 0,0 0. $$
Empathising and systematising in children with and without autism spectrum disorder

It is known that children with autism are insufficient in building empathy. A part of the difficulties in social interaction may originate from the lack of empathy. This research consists of two studies. First study is adaptation of the “Child Empathy Systemizing Quotient” (EQ-SQ) to Turkish culture which is prepared considering the behaviour characteristics of children in the Autism Spectrum Conditions (ASC) group, and realizing its validity and reliability. This research is conducted with 760 children with typical development processes, aged 9 – 16. The findings show that the Turkish EQ-SQ is a valid and reliable tool. The second study is conducted with 112 children, 32 of them having ASC and 80 not. Through this quotient, the empathy and systematizing abilities of children with ASC are compared with their peers who demonstrate typical development processes. The EQ-SQ levels of the participants are evaluated with their mothers and their demographical values are taken from the mothers. In line with the findings in the literature, the empathy skills of children diagnosed with ASC are significantly lower than children with typical development processes. Among the children with typical development processes, females’ empathy skills are shown to be significantly higher than males .
Deep Architectures for Automatic Emotion Recognition Based on Lip Shape

Deep belief networks are used in this paper in order to initialize a feed-forward neural network, used for classification of emotions based on lip shape. Deep architectures are trained in a layer-wise greedy manner during the unsupervised training phase, whereas the neural network is trained during the supervised training phase, using the images from the reference database. Four distinctive, universally recognizable emotional states with the highest recognition rates have been selected from the reference database and further processed. Even with a small amount of training data, encouraging results were achieved in comparison to the results obtained by human classification, as well as the results obtained by using previously developed algorithms.
Nano Drug Delivery and Targeting for the Treatment of Gastric Cancer : A Review

Gastric cancer, or stomach cancer, is a malignancy (unrestrained growth of abnormal tissue) of the lining of the stomach. Nanoparticles, part of Nano medicine can be either used as an imaging agent or therapeutic agent in different cancer therapeutics which includes gastric cancer as well. The use of nanoparticles in gastric cancer treatment could ease up the side effects of chemotherapy and increase the efficacy of treatment. There are different existing drugs which are used in gastric cancer treatment. One of the leading players to treat gastric cancer is 5Fluorouracil, which has played a pivotal role to treat gastric cancer over the last few years. There are other anticancer agents like taxanes, platinum derivatives, and antimetabolites and so on that has also been used to treat gastric cancer. Though these agents have several cytotoxic effects on human but they are still in use. The aim of this study is to review various literatures and learn in detail about the various advances in Nano targeted drug delivery systems for the treatment of gastric cancer.
Acid treatment effects on the stable isotopic signatures of fossils

Abstract: Prior to geochemical analyses, fossil bones and teeth are often extracted from any surrounding lithified sediments using chemical techniques such as immersion in acid. As stable isotope analysis becomes more commonplace in palaeoecological investigations, it is important to consider what effects these chemical preparation techniques may have on any subsequent isotopic data and to constrain these effects as quantitatively as possible. This study aims to elucidate these effects, as it is vital that variability in a data set should not be introduced as a result of protocols used during sample preparation; in addition, it defines the most effective and viable method of carbonate removal for processing bulk fossil samples without causing alteration of their stable isotopic signatures. Various strengths of two weak acids commonly used during palaeontological preparation were tested to evaluate their effects on the δ15N and δ13Corg isotopic signatures of the vertebrae of a large Eocene fossil fish. Changes in the isotopic values occurred over time regardless of which acid was used, each causing a variable response in both δ15N and δ13Corg isotopic values. Without careful monitoring of the acidification process in a controlled environment, any resulting data could therefore confound interpretation. Based on these experiments, it is recommended that 2 m acetic acid be used for the pretreatment of fossils prior to the acquisition of N and C isotope data where carbonate removal is necessary.
The influence of water jet diameter and bone structural properties on the efficiency of pure water jet drilling in porcine bone

Using water jets in orthopedic surgery to drill holes in bones can be beneficial due to the absence of thermal damage and the always sharp cut. To minimize operating time and the volume of water that is used, the efficiency (volume of removed bone per added volume of water) of the water jet should be maximized. The goal was to study the effect of the open trabecular bone structure on the efficiency for different water jet diameters. 86 holes were drilled in porcine tali and femora submerged in water with nozzles of 0.3, 0.4, 0.5 and 0.6mm at 70MPa during 5 s and a standoff distance of 8 mm. MicroCT scans were made to measure the removed bone volume and the bone structural properties Trabecular Spacing (Tb.Sp.), Trabecular Thickness (Tb.Sp.) and Bone Volume Fraction (BV/TV). Pearson’s correlation tests (p < 0.05, 95% confidence interval) were performed for each water jet diameter using the bone structural property as an independent factor and the efficiency as a dependent factor. No significant differences were found between the nozzle diameters in the material removal rates per added volume of water. The efficiency decreased for an increase in Tb.Th. and BV/TV for nozzles of 0.3, 0.4 and 0.5 mm. The 0.6mm nozzle showed less influence of the Tb.Th. and BV/TV. The Tb.Sp. has no influence on the efficiency of a water jet. The total volume of added water combined with the Tb.Th. or BV/TV is a leading measure for the volume of bone material that is removed, which provides freedom in the development of water jet instruments as the nozzle diameter, pressure and jet time can be chosen in accordance to the maximum operating time requirements or dimensional limitations of a design.
Energy dependence of slope parameter in elastic nucleon-nucleon scattering

The diffraction slope parameter is investigated for elastic proton-proton and proton-antiproton scattering based on all the available experimental data at low and intermediate momentum transfer values. Energy dependence of the elastic diffraction slope is approximated by various analytic functions. The expanded “standard” logarithmic approximations with minimum number of free parameters allow description of the experimental slopes in all the available energy range reasonably. The estimations of asymptotic shrinkage parameter are obtained for various domains based on all the available experimental data. Various approximations differ from each other both in the low energy and very high energy domains. Predictions for diffraction slope parameter are obtained for elastic proton-proton scattering from NICA up to future collider (FCC/VLHC) energies, for proton-antiproton elastic reaction in FAIR energy domain for various approximation functions.
Life table of the entomophagous ladybird Serangium parceseto-sum Sicard ( Coleoptera : Coccinellidae ) by feeding on Bemisia tabaci ( Genn . ) ( Homoptera : Aleyrodidae ) as prey at two different temperatures and plant species

Serangium parcesetosum Sicard (Col., Coccinellidae) seems to be a specialist predator of whiteflies. However, the knowledge about its life table parameters with the cotton whitefly, Bemisia tabaci (Genn.) (Hom., Aleyrodidae) as prey was insufficient on the influence of temperature, prey species and plant species on its biology in the literature. Therefore, in the present work, development, mortality, sex ratio, longevity and reproduction of S. parcesetosum were studied in the laboratory at 18 ± 1 °C and 30 ± 1 °C on cotton and cucumber leaves. S. parcesetosum was able to develop and reach adult stage at both temperatures and plant species tested. Temperature, prey’s host plant species and sex of the predator had influenced the mean developmental duration of all stages of the predator. Total developmental duration at 18 °C was a mean of 43.4 ( ) and 42.4 ( ) days as well as 45.2 ( ) and 43.4 ( ) days, while at 30 °C, it valued a mean of 17.2 ( ) and 16.2 ( ) days as well as 15.9 ( ) and 15.1 ( ) days on cotton and cucumber, respectively. Total mortality percentage of S. parcesetosum during development from egg to adult was also affected by temperature and plant species, where it was higher at 18 °C than 30 °C on both plant species, and it was higher on cotton than on cucumber at both temperatures. The sex ratio ( : ) of S. parcesetosum was 1 : 0.9 and 1 : 0.8 at 18 °C, while at 30 °C, it valued 1 : 1.1 on cotton and cucumber, respectively. Longevity of S. parcesetosum varied significantly according to temperature, prey’s host plant species and sex of the adults, and it was significantly longer at 18 °C than 30 °C for both sexes on both plant species and it was for females significantly longer than males. Temperature and plant species had significantly influenced pre-oviposition, oviposition and postoviposition periods of S. parcesetosum. At 18 °C, adult females began oviposition 13 and 17 days after emergence with a mean total fecundity of 52.4 and 24.7 eggs/ on cotton and cucumber, respectively, while at 30 °C, they began oviposition after 6 and 7 days, where the mean total fecundity was on cotton not expected with only 31.0 and on cucumber 97.7 eggs/ .
Signature Verification System using Gaussian Mixture Model and Longest Common SubSequences

Nowadays, human identifications are necessary for our routine activities such as entering any secure locations besides many other applications. To that end, higher security levels need with easier user interaction which can be achieved using bio-metric verification. Bio-metric verification helps us identify people based on their extracted physical or behavioural features. These features should have certain properties such as uniqueness, permanence, acceptability, collectability, and the cost to employ any bio-metric. HSV is one of the bio-metric verification which authenticates whether the signature is genuine or forged. In our study a new approach is proposed for online signature verification using classifier model and comparing techniques. The classifier model i.e., GMM is used to extract the physical and behaviour features. The comparison technique i.e., LCSS is used for comparing extracted features. The publicly available online handwritten signature data(MCYT-100 database) is used for experiments. The results obtained in the form of performance metric curves called FAR, FAR, EER, ROC curves. To know the performance of the verification system, it is compared with the widely used comparing technique called Dynamic TimeWarping. Our experiments show that GMM with the LCSS authenticate persons very reliably and with a performance better and matching with best comparing technique, DTW.
The management and governance of racial integration in public secondary schools in Gauteng

The main purpose of this paper was to establish the effectiveness of school management and governance structures in managing racial integration in public secondary schools. A qualitative study was conducted utilising Critical Race Theory (CRT) and Lewin’s Change Management Theory. A sample of grade 10 learners and educators, which included members of the School Management Team (SMT), School Governing Body (SGB), which representated the four previous education departments, was purposefully selected. Semi-structured, individual interviews and focus group discussions, including a questionnaire with open-ended questions, were used to gather data. The findings, obtained through content analysis, indicate that SMTs and SGBs experience difficulty in managing and governing racial integration in public schools due to the following: policy and practice issues, poor interrelationships, need for capacity building of educators, and on-going racial conflict. Based on the findings, recommendations are made on how SMTs and SGBs could effectively manage racial integration in public secondary schools. https://doi.org/10.19108/KOERS.83. 1.2325
THE INFLUENCE OF REGIONAL INSTITUTIONAL FACTORS ON THE CAPITAL STRUCTURE OF SPANISH SMEs

This paper analyses the role that institutional fac tors play in explaining differences in the capital structure of small and medium-sized enterprises (SMEs) across regions belonging to a single country. Specificall y, it studies the effect of the development of the fin ancial sector and of the economic situation on leve rag of firms. Furthermore, the standard firm-factor det erminants of debt, such as firm size, asset structu re, profitability, growth, business risk and age, and t he business sector of the firm are also incorporate d. This empirical study uses a sample of 638 SMEs represent ing every Spanish region for the period 1999-2007, and applies the panel data methodology. The results ggest that the capital structure depends on the regional financial sector and the regional economic situation which implies that institutional factors at regional level help to better explain financing dec isions of SMEs.
Estimation of the Mean of Truncated Exponential Distribution

Problem statement: In this study, the researcher considers the problem of estimation of the mean of the truncated exponential distribution. Approach: This study contracted with maximum likelihood and unique minimum variance unbiased estimators and gives a modification for the maximum likelihood estimator, asymptotic variances and asymptotic confidence intervals for the estimators. The properties of these estimators in small, moderate and large samples were investigated via asymptotic theory and computer simulation. Results: It turns out that the modified maximum likelihood estimator was more efficient than the others and exists with probability 1. Conclusion: The modified maximum likelihood estimator was always exist, fast and straightforward to compute and more likely to yield feasible values than the unique minimum variance unbiased estimator. Its variance was well approximated by the large sample variance of the other estimators.