Miracle-dz/UniFAR-FTUs huggingface dataset:
A New Method for Computing the Delay Margin for the Stability of Load Frequency Control Systems

Open communication is an exigent need for future power systems, where time delay is unavoidable. In order to secure the stability of the grid, the frequency must remain within its limited range which is achieved through the load frequency control. Load frequency control signals are transmitted through communication networks which induce time delays that could destabilize power systems. So, in order to guarantee stability, the delay margin should be computed. In this paper, we present a new method for calculating the delay margin in load frequency control systems. The transcendental time delay characteristics equation is transformed into a frequency dependent equation. The spectral radius was used to find the frequencies at which the root crosses the imaginary axis. The crossing frequencies were determined through the sweeping test and the binary iteration algorithm. A one-area load frequency control system was chosen as a case study. The effectiveness of the proposed method was proven through comparison with the most recent published methods. The method shows its merit with less conservativeness and less computations. The impact of the proportional integral (PI) controller gains on the delay margin was investigated. It was found that increasing the PI controller gains reduces the delay margin.
Buffer’s ionic strength on the chaperone-like activity (CLA) of silkworm small heat shock protein: sHSP19.9 and sHSP20.8

Small heat-shock proteins (sHSPs), an abundant and ubiquitous family of molecular chaperones, can effectively prevent irreversible aggregation of non-native proteins by forming soluble complex. The CLA of sHSPs is usually determined by the capacity to suppress thermally or chemically induced protein aggregation. Various factors can effectively influence the CLA, and among them the ionic strength of the preparation and working buffer is an important factor. The study deals with the effect of ionic strength of buffer on the CLA of two silkworm sHSPs: namely sHSP19.9 and sHSP20.8 against the thermally-induced aggregation of BLC, a non-native protein. The study clearly revealed that sHSP19.9 required high ionic strength (more NaCl concentration) in reaction buffer to prevent irreversible aggregation of BLC. On the other hand, such high ionic strength condition is not necessary for sHSP20.8 but it influences the activity in some context.
Giving the Expectancy‐Value Model a Heart

Over the past decade, research in consumer behavior has debated the role of emotion in consumer decision making intensively but has offered few attempts to integrate emotion-related findings with established theoretical frameworks. This manuscript augments the classical expectancy-value model of attitude with a dimensional model of emotion. An experiment involving 308 college students who face actual purchase decisions shows that predictions of attitudes, behavioral intentions and actual behavior can be improved through the use of the augmented model for both hedonic and utilitarian products. The augmented model has theoretical implications for marketing scholars as well as practical uses for marketers.
Channel Replacement Therapy for Cystic Fibrosis

Epithelial monolayers act as barriers to the movement of small solute molecules – including both inorganic ions and drugs – between body compartments. Ions traverse epithelial apical and basolateral membranes via a combination of tightly regulated ion-specific transporters and channels. Compromised function of any component leads to electrolyte and fluid imbalances resulting in morbidity and potentially, mortality. In the case of cystic fibrosis (CF) the defect lies in various genotypes that result in suboptimal synthesis, folding, transport, or gating of the CF transmembrane conductance regulator (CFTR; an anion channel that has other reported cellular functions). Many of the current therapies involve palliative interventions that address infections, inflammation, nutrition and mucus viscosity issues in patients. While these approaches have increased the life span of CF patients by reducing the rate of decline in lung functions or other health issues, none of them addresses the underlying cause of the disease at the cellular or tissue level, namely reduced anion conductance that sets the chemiosmotic driving force for both paracellular and transcellular fluid movement.
Investigation of the Impact of Non-Oil Revenue on Economic Growth in Nigeria

: This study investigated the time series role of non-oil revenue variables on economic growth in Nigeria. This study thus extends the literature in this area by employing cointegration methodology alongside error correction mechanism to investigate the impact of non-oil revenue on economic growth in Nigeria. The study employed annual observations from 1980 to 2013. The non-oil revenue variables analyzed are: agricultural revenue and manufacturing revenue. Results show that agricultural revenue, manufacturing revenue and interest rate have significant impact on economic growth in Nigeria. Results also show the existence of long-run equilibrium relationship and short run dynamic adjustment with speed of about 52% to restore equilibrium. The study concludes that non-oil revenue has the potential to unlock Nigeria’s economic morass an policy recommendations are provided.
The Economic Effects of Judicial Accountability : Some Preliminary Insights

Judicial independence is not only a necessary condition for the impartiality of judges, it can also endanger it: judges that are independent could have incentives to remain uninformed, become lazy or even corrupt. It is therefore often argued that judicial independence and judicial accountability are competing ends. In this paper, it is, however, hypothesized that they are not necessarily competing ends but can be complementary means towards achieving impartiality and, in turn, the rule of law. It is further argued that judicial accountability can increase per capita income through various channels one of which is the reduction of corruption. First tests concerning the economic effects of JA are carried out drawing on the absence of corruption within the judiciary as well as data gathered by the U.S. State Department as proxies. On the basis of 75 countries, these proxies are highly significant for explaining differences in per capita income.
Consumer Decision Making in Multi-channel Retail: the Effects of Online Channel Media Richness and Cross-channel Integration

While more and more retailers adopt multi-channel presence to communicate with online consumers, there still exists many differences in the level of channel integration, and accordingly, in the efficiency to reduce online transaction-specific uncertainty and promote online loyalty. This study first examines how online channel media richness affects consumers’ online loyalty directly and indirectly through perceptions of information privacy concern and deception and further investigates how cross-channel integration moderates that effects. Results show that online channel media richness not only alleviates consumers’ information privacy concern and perceived deception, but also enhances online loyalty. The moderating effects reveal that cross-channel integration complements online channel media richness in reducing information privacy concern and perceived deception, as well as strengthening online loyalty. Theoretical and practical implications of this study are discussed.
Laplace-domain analysis of fluid line networks with applications to time-domain simulation and system parameter identification.

Networks of closed conduits containing pressurised fluid flow occur in many different instances throughout the natural and man made world. The dynamics of such networks are dependent not only on the complex interactions between the fluid body and the conduit material within each fluid line, but also on the coupling between different lines as they influence each other through their common junctions. The forward modelling (time-domain simulation), and inverse modelling (system parameter identification) of such systems is of great interest to many different research fields. An alternative approach to time-domain descriptions of fluid line networks is the Laplace-domain representation of these systems. A long standing limitation of these methods is that the frameworks for constructing Laplace-domain models have not been suitable for pipeline networks of an arbitrary topology. The objective of this thesis is to fundamentally extend the existing theory for Laplace-domain descriptions of hydraulic networks and explore the applications of this theory to forward and inverse modelling. The extensions are undertaken by the use of graph theory concepts to construct network admittance matrices based on the Laplace-domain solutions of the fundamental pipeline dynamics. This framework is extended to incorporate a very broad class of hydraulic elements. Through the use of the numerical inverse Laplace transform, the proposed theory forms the basis for an accurate and computationally efficient hydraulic network time-domain simulation methodology. The compact analytic nature of the network admittance matrix representation facilitates the development of two successful and statistically based parameter identification methodologies, one based on an oblique filtering approach combined with maximum likelihood estimation, and the other based on the expectation-maximisation algorithm.
VLT/X-shooter spectroscopy of the GRB 090926A afterglow

We study the environment and intervening absorbers of the gamma‐ray burst GRB 090926A through analysis of X‐shooter optical spectra of its afterglow taken ∼22 hr after the trigger. The spectrum shows that the ISM in the GRB host galaxy at z = 2.1071 is rich in absorption features, with two components contributing to the line profiles. In addition to the ground state lines, we detect several excited absorption features. No host galaxy emission lines, molecular absorption features nor diffuse interstellar bands are detected in the spectrum. The line of sight of GRB 090926A presents four weak intervening absorption systems in the redshift range 1.24<z<1.95. The Hydrogen column density associated to GRB 090926A is logNH/cm−2 = 21.60±0.07, and the metallicity of the host galaxy is in the range [X/H] = 4.2×10−3−1.4×10−2 with respect to the solar values, i.e., among the lowest values ever observed for a GRB host galaxy. A comparison with galactic chemical evolution models has suggested that the host of GRB090926.
Analysis of fatigue in firefighters: foot clearances over stair edges and validation of a novel means for metabolic data collection

19 INTRODUCTION 19 Metabolic Cost of Firefighting 21 Facepiece Issues 23 METHODS 24 Facepiece Modifications 24 Testing protocols 28 Positive pressure testing 28 Metabolic data testing 29 RESULTS 33 Positive pressure testing 33 Metabolic data testing 34 DISCUSSION 40 CONCLUSIONS 42 CHAPTER 3: ANALYSIS OF FOOT CLEARANCES IN FIREFIGHTERS DURING ASCENT AND DESCENT OF STAIRS 43
Bayesian Nonparametric Hawkes Processes

Models based on temporal point processes [4, 10] are well-fitted to capture the dynamics of continuously generated streams of data, for which the classical i.i. d. assumption clearly does not hold. Among these, approaches based on Hawkes Processes (HPs) [11] have been shown to be particularly suitable to model the inherent self-excitatory nature of many real-world domains like sequences of user-generated content, (e.g., tweets [14, 5]), their behaviour (e.g., online learning patterns [15], popularity [16]) or interactions in social networks (e.g., sharing a post [7, 8]).
Benchmarks for Overlapping Community Detection Algorithms

Recent studies on networks obtained from different domains such as social networking sites, internet / web-pages, proteinprotein interaction networks etc., have shown that they share many common properties. One of the common properties of all these real networks is that they follow a community structure where the set of nodes with common interest are grouped together. The nodes within a group interact with each other very frequently and have relatively less interaction with the nodes of the other groups. The other essential property observed about these communities is that they have an overlapping nature, where some nodes can be members of more than one community. Several overlapping community detection algorithms like GCE and CFinder were proposed to detect the overlapping nature of communities of a given network. This requires performance comparison of these algorithms on a set of networks with known community structure or in other words a set of benchmark networks. There are different types of benchmark networks. In this work we studied the existing commonly used benchmark, namely, the LFR benchmark. The actual problem of this LFR benchmark is that it can create a network in which every node belongs to at least one community i.e, membership is at least one. But in real networks such as social or biological or computer networks, some nodes may not belong to any community(i.e., zero membership) but still have sparse interactions with the other nodes that are either members of any community or nodes like them(these are actually called the homeless nodes or orphan nodes). We have extended the presently existing LFR benchmark with orphan nodes. In our experiments we have observed that in some cases extended LFR benchmark (benchmark with orphan nodes or ELFR) is 5% better than the normal LFR benchmark.
One promising approach to overcome the limitations associated with the Smagorinsky model is to use dynamic models where C s will be problem dependent

In this work, we present a localized form of the dynamic eddy viscosity model for computationally efficient and accurate simulation of the turbulent flows governed by Euler equations. In our framework, we determine the dynamic model coefficient locally using the information from neighboring grid points through a test filtering process. We then develop an optimized Gaussian filtering kernel, using a consistent definition with respect to the test filtering ratio, which gives full attenuation at the grid cut-off wave number. A systematic a-posteriori analysis of our model is performed by solving two 3D test problems: (i) incompressible Taylor-Green vortex flow and (ii) compressible shear layer turbulence induced by KelvinHelmholtz instability to show the wide range of applicability of the proposed localized dynamic model. We demonstrate that the proposed dynamic model is robust and provides a better estimation of the inertial range turbulence dynamics than other numerical models tested in this study.
Development and Validation of a Y-Chromosome STR Genotyping System , Y-PLEX TM 12 , for Forensic Casework

Typing of Y-STRs offers certain advantages over the use of autosomal STRs for obtaining a male profile in the presence of a much larger quantity of female DNA such as, the differential extraction of sperm and epithelial cells is not necessary, analysis of azoospermic semen samples, estimating the number of male contributors in a rape case with multiple perpetrators, rapid exclusion of suspects, and simplified interpretation due to single allele profile per individual for most loci (1). However, Y-STR analysis has limitations also, which include; the product rule cannot be applied across the loci since majority of the male specific region on Y-chromosome does not undergo recombination and the profiles among paternal relatives cannot be distinguished. This leads to a lower power of discrimination and increased population substructure than are observed for autosomal loci (1, 2). In spite of the above limitations, Y-STRs have proven useful in resolving a number of forensic cases (3 – 6).
Investigation of seal performance in a 4-α double-acting Stirling cycle heat-pump/refrigerator

Concerns about the environmental impact of refrigerants used in vapour-compression heatpumps and refrigerators, have prompted the Stirling-Cycle Research Group at the University of Canterbury to investigate the feasibility of low-cost Stirling-cycle machines that use air as the refrigerant. Seal development is a key part of the research programme, and a series of experiments has been carried out in order to ascertain the suitability of a system using low-cost rubbing seals. Investigations have been based on a Stirling-cycle heat-pump using a wobble-yoke kinematic mechanism in a 4-α double-acting (Siemens) configuration. An automotive-type piston arrangement was employed, using Low Wear Rate Polymer (LWRP) seal-rings. The experiments highlighted some of the weaknesses of the 4-α double-acting configuration in terms of seal behaviour. While reasonable performance was attained, the difficulty of achieving adequate sealing during pressure reversal across the piston means that other configurations may be more suitable for Stirling-cycle heat-pump/refrigerator machines.
Energy Efficient, Distributed Clustering Approach for Ad Hoc Wireless Sensor Network

: With the increasing growth in assorted applications for resource-limited Wireless Sensor Networks (WSN), the requirement for reliability and efficiency in security mechanisms for them has increased a lot but its implementation is a non-trivial task. Limitations in processing speed, power of battery, bandwidth and memory consisting the applicability of existing cryptography algorithms for WSNs. Ad hoc sensor networks are ad hoc networks that are characterized by decentralized structures and ad hoc deployment. Sensor networks have all the basic parameters of ad hoc networks but to different degrees – for example, much lower mobility and much more stringent energy requirements. In this paper the pragmatic analysis on the energy consumption and optimization issues are underlined. This work analyzes the existing state of research and evaluates the issues in development of techniques in wireless sensor networks related to energy harvesting and optimization.
Haematological and Serum Biochemical Analyses of Wild Male Blackrats , Rattusrattus ( Linnaeus , 1758 )

The present study focuses to evaluate the haematological and biochemical profile of wild black rats. In this study, the estimated values of Rattusrattus with respect to age were compared. A total of 40 black wild rats (20 each from youngs and adults) were collected. Blood samples were then collected from the caudal vein of anaesthetized rats.Haematological parameters such as haemoglobin (Hb), total erythrocyte count (TEC), total leucocyte count(TLC), packed cell volume (PCV), mean corpuscular volume (MCV), mean corpuscular haemoglobin (MCH) and mean corpuscular haemoglobin concentration (MCHC) and the serum biochemical parameters like protein, albumin, globulin, glucose and cholesterol were measured and each parameter was expressed as mean±SE in both young and adult rats and compared according to the age group using t-test. In haematological findings, all parameters namely RBC, Hb, MCV (p<0.001) and MCHC, PCV (p<0.01) and WBC (p˂0.5) reveal significant difference between young and adult rats. But, no significant difference was observed in MCH.The biochemical parameters such as total protein, cholesterol, glucose (p˂ 0.001), and globulin (p˂0.01) reveal significant difference where ass no significant difference was recorded in albumin between youngs and adults. The findings would be helpful to establish a baseline value and to draw conclusive remarks as to the health status of Rattusrattus.
LARYNGEAL ADJUSTMENT IN THE PRODUCTION OF VOICELESS CONSONANTS : II . PHYSICAL MODELLING

In this paper, we present an attempt to describe flow past the glottis and to predict the pressure inside the vocal tract during phonation. Different theoretical models to describe the pressure distribution inside the whole vocal tract will be presented and compared. Theoretical models will be validated on ‘in-vitro’ measurements performed on a mechanical replica of the human phonatory system. Next, an application of this theoretical approach to the simulation of vowel-plosive-vowel (VCV) sequences is presented. It is shown that even using a very crude mechanical model for the vocal folds (such as a 1 or 2-mass model) one can already replicate some important features with a surprising accuracy. This will be illustrated by examples of predictions for the onset-offset glottal pressure and of the fundamental frequency of oscillation. Lastly, the simulations are compared to ‘in-vivo’ observations as e.g. presented in a companion paper.
SIW Circular Cavity Single Mode Filter With Triangle Probe

A novel substrate integrated waveguide (SIW) circular cavity using triangle probe are proposed in this paper. Prior to this research work, circular cavity resonator was used to achieve a miniaturization for the overall circuit size. The proposed filter provides single resonant mode, TE110. The resonant frequency of TE110 can be adjusted by varying the length and width of the SIW cavity. The proposed filter are designed to operate at frequency 3.75 GHz and implemented on Rogers 3210 substrate with thickness of 0.64 mm. The insertion loss in operating band is less than 0.6 dB and the return loss is better than 24 dB. Simulated result obtained using Ansoft HFSS software.
Synthesis of Silver Nanoparticles from Anagalis arvensis and Their Biomedical Applications

Background. Nanotechnology is promising field for generating new applications. A green synthesis of nanoparticles through biological methods using plant extract have a reliable and ecofriendly approach to improve our global environment. Methods. Silver nanoparticles (AgNPs) were synthesized using aqueous extract of Anagalis arvensis L and silver nitrate and were physicochemically characterized. Results. The stability of AgNPs toward acidity, alkalinity, salinity and temperature showed that they remained stable at room temperature for more than two months. The SEM and TEM analysis of the AgNPs showed that they have a uniform spherical shape with an average size in the range of 40–78 nm. Further 1-Dibhenyl-2-Picrylhydrazl radical in Anagalis arvensis L.mediated AgNPs showed a maximum activity of 98% at concentration of 200μg/mL. Hydrogen peroxide scavenging assay in Anagalis arvensis L. mediated AgNPs showed a maximum activity of 85% at concentration of 200μg/mL. Reducing power of Anagalis arvensis L.Ag NPs exhibited a higher activity of 330 μg/mL at concentration of 200 μg/mL. These NPs have cytotoxic effects against brine shrimp (Artemia salina) nauplii with a value of 53% LD 178. 04μg/mL. Conclusion. The AgNPs synthesized using Anagalis arvensis L. extract demonstrate a broad range of applications.
Understanding Charts in Research Papers : A Learning Approach

Academic research papers are a rich source of information, making them a prime target for computer knowledge mining. While much previous work has focused on reading text, papers often use graphical figures and charts to convey key points. The ability to automatically understand figures also has applications for accessibility. In this project, our goal is to understand figures in research papers by parsing them into a structured, computer-readable representation. We focus on reading line charts, a very common type of figure. We leverage computer vision and machine learning techniques including apprenticeship learning to enable our system to be robust to variation in chart design conventions. Our approach extends previous work by fully automating the pipeline from input papers to output results, by allowing reading of multiple variables plotted on the same axis, and by introducing a quantitative metric for evaluating data extraction.