Miracle-dz/UniFAR-FTUs huggingface dataset:
MFFA based Optimal Location and Capacity of UPFC for Improving the Loadability of Power System

In this article, a Modified Firefly Algorithm (MFFA) based optimal location and sizing of unified power flow controller (UPFC) to progress the dynamic stability is projected. At this point, the maximum power loss bus is acknowledged at the most auspicious location for fixing the UPFC, as the generator outage disturbs the power flow constraints like power loss, voltage and active and reactive power flow. An FFA (Firefly algorithm) is explored with the help of gravitational search algorithm (GSA). The projected algorithm progresses the loadability of power scheme with UPFC. Haphazard movement factor of firefly algorithm is enhanced by hybridizing the GSA with FFA. In outmoded firefly algorithm, the subsequent movement of firefly is hinge on the movement factor that is dogged by haphazardly so the best movement of firefly is prospect to fails by the dissemination of haphazard number. Therefore, the best location for placing and capability of UPFC can severable to identify precisely. In this article, a GSA based modified optimization algorithm is utilized to regulate the optimal haphazard movement factor of fireflies. Therefore, the optimal location and capability of UPFC is dogged competently if associated with traditional FFA. Lastly, the projected work is applied in MATLAB/Simulink and the optimal location and capacity of UPFC is scrutinized as per the variation of voltage, power loss and power balance of the network. To validate our anticipated method, we complete replications on an IEEE 30-bus power scheme. The solutions we have attained designate that installing UPFC in the location augmented by MFFA can meaningfully improve the loadability of power scheme by reducing the overloaded lines and the bus voltage edge violations.
Genome sequence reveals selection sweeps in farmed Atlantic Salmon

The introduction of wild Atlantic salmon into captivity, and their subsequent selection for production traits, has caused phenotypic differences between cultured fish and their wild counterparts. Identification of the underlying genetic differences offers the opportunity to improve animal breeding and illuminate early biological consequences of domestication. We analyse whole-genome sequence from populations of both farmed and wild European Atlantic salmon to identify genomic regions that exhibit signatures of selection. We identify 71 regions with markedly reduced heterozygosity in farmed populations, some of which contain genes previously implicated in selection of livestock. Finally, we identify a 250 Kb region on chromosome 20 with both low diversity in farmed populations and high divergence from wild salmon populations. The region of interest is immediately upstream of versican core protein like, which is involved in the correct migration of neural crest cells. The results described begin to catalog the genes likely to be have preferentially impacted by the onset of domestication and selection in this important aquaculture production species.
Lessons from the Study of Covalent Dimers of the Alzheimer’s Disease-Associate Amyloid β-Protein

Alzheimer’s disease (AD) is a brain disorder that first manifests in the form of intermittent memory problems and then progresses to dementia and ultimately death. Although the precise cause of AD remains obscure evidence from multiple sources indicate that the amyloid β-protein (Aβ) plays a key role [1]. Aβ comprises a family of proteins with a common core of ~30 amino acids. These peptides are amphipatic in nature and are prone to self-associate and certain aggregates of Aβ are toxic to nerve cells. Aβ of various sequences, but most particularly those that extend C-terminal to alanine 42, are found in the tell-tale amyloid plaques which litter the brains of individuals who die with AD. Several mutations within the Aβ sequence cause early onset AD and are believed to increase the formation of toxic Aβ assemblies. However, such mutations are very rare and most cases of AD occur in individuals with the normal Aβ sequence
Basis for Symmetric Matrix Data Gravity Interpretation

Gravity method has tremendously pervaded the field of geophysical exploration and thus discussed in this work. The basis for symmetric matrix data gravity interpretation is proposed. A symmetric matrix representation is discussed and optimistically forms a veritable tool for gravity data interpretation. The fundamental law of gravitational attraction is essential in delineating gravity data interpretation and the gravity effect or anomaly representation is evidently expressed by a finite difference matrix in the discussion. A computational extension can be done based on the symmetric matrix representation with available gravity data.
SYNTHESIS OF THINNED LINEAR ANTENNA ARRAYS WITH FIXED SIDELOBE LEVEL USING REAL-CODED GENETIC ALGORITHM

In this paper, we propose an optimization method based on real-coded genetic algorithm (GA) with elitist strategy for thinning a large linear array of uniformly excited isotropic antennas to yield the maximum relative sidelobe level (SLL) equal to or below a fixed level. The percentage of thinning is always kept equal to or above a fixed value. Two examples have been proposed and solved with different objectives and with different value of percentage of thinning that will produce nearly the same sidelobe level. Directivities of the thinned arrays are found out and simulation results of different problems are also compared with published results to illustrate the effectiveness of the proposed method.
Set Membership identi!cation of nonlinear systems

In the paper the problem of identifying nonlinear dynamic systems, described in nonlinear regression form, is considered, using ! nite an d n oise-corrupted measuremen ts. Most methods inthe literature are based onthe estimationof a model withina ! n itely parametrized model class describing the functional form of involved nonlinearities. A key problem in these methods is the proper choice of the model class, typically realized by a search, from the simplest to more complex ones (linear, bilinear, polynomial, neural networks, etc.). In this paper an alternative approach, based on a Set Membership framework is presented, not requiring assumptions on the functional form of the regression function describing the relations between measured input and output, but assuming only some information on its regularity, given by bounds on its gradient. In this way, the problem of considering approximate functional forms is circumvented. Moreover, noise is assumed to be bounded, in contrast with statistical methods, which rely on assumptions such as stationarity, ergodicity, uncorrelation, type of distribution, etc., whose validity may be di3cult to test reliably and is lost in presence of approximate modeling. In this paper, necessary and su3cient conditions are given for the validation of the considered assumptions. An optimal interval estimate of the regression function is obtained, providing its uncertainty range for any assigned regressor values. The set estimate allows to derive an optimal identi! cation algorithm, giving estimates with minimal guaranteed Lp error onthe assign ed domainof the regressors. The properties of the optimal estimate are investigated and its worst-case Lp identi! cation error is evaluated. The presented approach is tested and compared with other nonlinear methods on the identi! cation of a water heater, a mechanical system with input saturation and a vehicle with controlled suspensions.
Conformal Frame Dependence on Cosmological Observations in Scalar-Tensor Theories of Gravity

Cosmological observations provide more accurate values both for the background evolution of the Universe and for the structure formation. These values are given by the so-called dark energy equation of state, ω, and the growth index parameter, γ. From these observed parameters, one can reconstruct the model functions in scalar-tensor gravity theories. However, there is a long-standing debate about the (in)equality between conformally transformed frames in scalar-tensor gravity models and some cosmological observables have been shown to be frame independent and others frame dependent. We focus on the cosmological evolutions of the frame-dependent observables, which are functions of the frame-independent parameter, the redshift. Thus, if one measures the cosmological parameters ω and γ from the frame-dependent cosmological observables in one specific frame, then all of the other observables should also be interpreted in that frame with the same cosmological parameters obtained from that measurement. If one analyzes the same observables in another frame, then the obtained cosmological parameters should be different from those of the original frame. This explicitly shows the frame dependence of cosmological observables. Also, our method provides a model-independent analysis of scalar-tensor theories of gravity models about various observables in both frames.
Forensic Analysis of Spy Applications in Android Devices

Smartphones with Google’s Android operating system are becoming more and more popular each year, and with this increased user base, comes increased opportunities to collect more of these users’ private data. There have been several instances of malware being made available via the Google Play Store, which is one of the predominant means for users to download applications. One eﬀective way of collecting users’ private data is by using Android Spyware. In this paper, we conduct a forensic analysis of a malicious Android spyware application and present our ﬁndings. We also highlight what information the application accesses and what it does with that information. We then provide our ﬁndings on how Google’s Play Protect service handles this spyware application. Lastly, we oﬀer a simple framework that forensic investigators can follow for performing mobile application analysis.
ECC Encryption and Decryption Using Iterated Knapsack Algorithm

This paper proposes a secure method for message encryption and decryption by combining the elliptic curve analog of the El-Gamal Public key cryptosystem with the Iterated Knapsack Algorithm. A comparison of the proposed method with the existing methods shows that this method is more efficient in terms of computational complexity. AMS Subject Classification: 11Z05, 11T71
Equilibrium Moisture and Thermodynamic Properties on DesorptionProcess of Jatropha Seeds

The equilibrium moisture content of Jatropha oilseeds was determined by the static method for different conditions of temperature and relative humidity. A diversity of mathematical models were fitted to the experimental data. The model that best fitted the data was used to calculate the thermodynamic properties enthalpy and entropy change, integral isosteric heat and the Gibbs free energy change in the desorption process. These properties were used to discuss the theory application of enthalpy-entropy compensation. The modified Henderson's model was considered adequate to represent and estimate the equilibrium moisture in the desorption process of Jatropha oilseeds. Equilibrium moisture content of Jatropha oilseeds is directly proportional to the relative humidity. Enthalpy and entropy changes were found to be positive, indicating that the desorption of Jatropha oilseeds is an endothermic and irreversible process. A negative change of free energy was obtained, indicating the spontaneous nature of the desorption process in Jatropha oilseeds for conditions evaluated.
A Review of the Healthcare-Management (Modeling) Literature Published in M&SOM

Healthcare systems throughout the world are under pressure to widen access, improve efficiency and quality of care, and reduce inequity. Achieving these conflicting goals requires innovative approaches, utilizing new technologies, data analytics, and process improvements. The operations management community has taken on this challenge: more than 10% of articles published in M&SOM in the period from 2009 to 2018 has developed analytical models that aim to inform healthcare operational decisions and improve medical decision-making. This article presents a review of the research published in M&SOM on healthcare management since its inception 20 years ago and reflects on opportunities for further research.
Computation of Three-Dimensional Electromagnetic Fields for an Augmented Reality Environment

Augmented reality is predestined for visualization of electromagnetic fields in air or inside transparent matter. Real existing objects are studied and invisible electromagnetic fields are added as virtual objects. Hence, experts as well as students are able to connect electromagnetic fields easily with studied objects. They can concentrate on physical effects instead on reading figures. Here, an easy to use augmented reality environment for three-dimensional electromagnetic fields is presented.
Land use and vegetation cover on native symbionts and interactions with cowpea

Fungos micorrizicos arbusculares (FMA) e rizobios sao componentes importantes dos agroecossistemas e respondem a interferencia antropica. O objetivo deste trabalho foi estudar comunidades nativas desses microrganismos em solo coletado sob floresta nativa, quatro areas de pasto (Brachiaria brizantha, Panicum maximum, Arachis pintoi e Stylosanthes guianensis) e uma area de pousio apos lavoura de milho, em interacao com o feijao caupi (Vigna unguculata). O caupi cresceu em casa de vegetacao ate o florescimento, distribuido ao acaso em funcao do solo, com cinco repeticoes. A esporulacao e a colonizacao radicular por FMA foram mais baixas no solo das areas de Panicum e floresta. No solo da floresta e com Stylosanthes, o caupi nao nodulou e apresentou menor desenvolvimento. Dentre as areas antropizadas o efeito foi variavel, com estimulo a multiplicacao e simbiose desses microrganismos, exceto nas areas de Panicum e Stylosanthes. Ao substituir a vegetacao nativa de floresta por pasto ou lavoura predominam a multiplicacao dos FMA e os rizobios nativos. Entretanto, o efeito e sua magnitude dependem da especie vegetal cultivada, com reflexo sobre a especie vegetal em sucessao, a exemplo do caupi.
Rain on the rangelands: how intense is it?

Sub-daily rainfall intensity has a significant impact on runoff and erosion rates in northern Australian rangelands. It is therefore important to accurately represent sub-daily rainfall intensity in rangeland systems models (e.g. GRASP), which are used to investigate management impacts on runoff and soil erosion processes. We describe a new equation to calculate daily maximum 15-minute rainfall intensities (I15) for any location in Australia, using readily available daily rainfall and climate data. The new I15 model accounted for 46% (P < 0.01) of the variation in observed daily I15 for an independent validation data set derived from 67 Australia-wide pluviograph stations and represented both geographical and seasonal variability in I15. The model also accounted for 70% (P < 0.01) of the variation in the observed historical trend in I15 for the full record period (average record period was 37 years) of 73 Australia-wide pluviograph stations. The new I15 equation represents a significant improvement on the existing equation incorporated in GRASP, which needs to be calibrated for a given location.
Effect of selected feed additives to improve growth and health of dairy calves

The aim was to evaluate the effect of different feed additives on intake, performance, and fecal consistency index (FCI) of dairy calves from 6–60 d of age and its residual effect 15 d after weaning. Fifty Holstein calves (38 ± 1.0 kg BW) were fed 5 L/d of milk plus starter feed until weaning, and corn silage and concentrate after weaning. The treatments were: control (CON), monensin (MON; 30 mg/kg of starter), probiotic E. faecium (PROB; 70 mg/kg of starter), essential oils (EO; 300 mg/kg of starter), or PROB + EO (EOPROB). Fecal score and dry matter intake (DMI) were measured daily, and animals were weighed every 15 d. A DNA extraction from feces was performed to identify the presence of microorganisms (E. coli, Hafnia, Shiguella, Lactobacillus spp, Enterococcus spp, and Enterococcus faecium NCIMB 10415) by PCR. Two 72-h digestibility trials were performed at days 20–28 and 50–56, by total fecal collection. The DMI before weaning was greater for EO (903.0 g/d) compared with MON (794.3 g/d) and EOPROB (783.1 g/d). The FCI decreased during pre-weaning for EO and MON. Average daily gain (ADG) and feed efficiency (FE) did not differ among treatments before weaning. After weaning, DMI and FCI did not differ among treatments. The EO had greater ADG (917.5 g/d) compared with CON (615.8 g/d) and PROB (592.6 g/d). The FE improved with EO (0.72 g/g) over CON (0.36 g/g), MON (0.49 g/g), and PROB (0.36 g/g). The PCR results showed absence of E. faecium NCIMB 10415 in animals fed PROB and CON. Animals fed PROB had greater intake of CP and NDF than animals fed EOPROB. The EO can be added to the dairy calf ration to improve fecal score and increase DMI. The pre-weaning FCI decrease with MON and increase with PROB.
Research on Serving the Development of Regional Economy Innovation by Intellectual Properties in Universities

At present, a sound intellectual property management and service system have not been established yet in Chinese colleges and universities. Meanwhile, the lost of existing intellectual property in universities due to small amount, low conversion rate, low technology content and weak brand awareness, hinders the positive effect of intellectual property and affects its transformation and application in China. This article introduces the current problems with intellectual property in universities and gives some countermeasures to promote the use of intellectual property in universities for a better regional economic service.
CAPITAL BUDGETING: THE ROMANIAN UNIVERSITY PROFESSORS' POINTS OF VIEW

This study aims at validating the points of view of the Romanian finance univer- sity professors regarding capital budgeting. The study is original and important in the same time, taking into consideration that their opinions, due to their vocation of educators, may represent the starting point for debates on the most suitable methods and techniques used in the practice of this field. It can be noticed that the dominant points of view converge to the recommendations of the main reference works in the domain of corporate finance. Hence, indicators like net present value, internal rate of return or profitability index are the most preferred. Among the techniques of risk quantification, the sensitivity analysis is considered as the most suitable, followed by the Monte Carlo method and the scenarios technique. As for the discount rate used for the investment projects analysis, the most numerous respondents recommend the weighted average cost of capital. Secondly, this study brings some insights on the profile of the university professors with competences in the field of capital budgeting. We can derive the conclusion that their education level is high, most of them having accomplished their university studies with a curricula adequate to the principles of a market economy. More than half of the respondents also have investments consultancy activities.
Major Qualifying Projects ( All Years ) Major Qualifying Projects April 2019 Performing Binary Classification of Contests Profitability for Draftkings

In this Major Qualifying Project, we worked alongside the online daily fantasy sports company DraftKings to build an algorithm that would predict which of the company’s contests would be profitable for them. Namely, our goal was to detect contests at risk of not filling to their maximum number of entrants by four hours before the contest closed. We combined categorical and numerical header data provided by DraftKings for hundreds of thousands of previous contests using modern data science techniques such as ensemble methods. We then utilized parameter estimation techniques such as linear regression and the Kalman Filter to model the time series data of entrants into a given contest. Finally, we fed these parameters and the predictions they generated, alongside the header data previously mentioned, into a Random Forest algorithm that provided our final prediction as to whether a contest would fill or not. The algorithm we developed outperformed previous methodologies involving only portions of the aforementioned data.
Evaluation of executive and cognitive functions in bipolar patients and their family members

: Background: Bipolar disorder is a debilitating psychiatric disorder characterized by recurrent depression, manic, and hypomanic episodes. Examination and comparison of executive and cognitive functions in bipolar patients and their family members has not been addressed in Iran so far. The aim of the present study was to examine executive and cognitive functions in bipolar patients and their family members. Materials and Methods: In this cross-sectional study, 50 patients with bipolar disorder, 50 of their family members, and 50 healthy controls were included. The Young Mania Rating Scale, Beck Depression Inventory, Tower of London task, Wisconsin Card Sorting Task, Trail Making Test, Ruler Drop method, Four- Choice task, and general intelligence test were used to examine executive and cognitive functions of the participants. Results: Executive and cognitive functions in patients with a bipolar disorder were significantly lower than those in the other groups ( P <0.01), but there was no significant difference in executive and cognitive functions between family members of the patients and healthy controls. Conclusion: According to the results of the present study, executive and cognitive functions have been destroyed in patients with bipolar disorder, but their family members have normal executive and cognitive functions.
Reconfigurable Antenna with Elevation and Azimuth Beam Switching

A reconfigurable microstrip antenna is proposed for low-cost adaptive beam-switching applications. A small patch-slotring structure is used as the radiating element where an asymmetrical arrangement of p-i-n diodes is employed to switch the pattern in four directions. The antenna provides pattern switching of 65 and 45 in its fundamental mode for the elevation and azimuth planes, respectively. By maintaining the resonant frequency and beamwidth as relatively constant, beam switching is realized using a single feed point.
Numerical Solution of Stochastic Model with Risk Measures via Finite Element Method

In this paper we investigate the use of finite element method (FEM) as a numerical solution of the partial differential equations arising in finance. First the Black-Scholes equation with transaction cost measure and Portfolio risk measure is established. The FEM is then used to transform the differential equation into an algebraic system of equations and to discretize the continuous domain of the problem by means series of simple geometric forms called finite elements, for which the governing relations on the entire continuous domain are valid on each element. Under some assumptions, the approximate solution in the entire continuous domain of the problem is obtained by means of trial function also called the form functions.