Miracle-dz/UniFAR-FTUs huggingface dataset:
Modified peek formula for calculating positive DC Corona inception electric field under variable humidity

The corona on conductors is of importance for ultra-high voltage transmission. Humidity in air is an important factor of affecting corona inception electric field. Due to long distances of the ultra-high voltage direct current (dc) transmission, the transmission line crossing a high humidity area is inevitable, and thus the humidity should be taken into account in evaluation of the corona inception electric field of positive dc conductor. In this work a modification of Peek formula of calculating the corona inception electric field of positive dc conductor has been performed for taking into account the effect of air humidity. Using the modified Peek formula, the corona inception electric fields for the conductors with different radii under different humidity are calculated and compared with the reported experimental results. Reasonable agreement between calculated results and the experiments is obtained, which shows that the modified Peek formula is a good one for the effective and easy calculations of the corona inception electric field of positive dc conductor under different humidity.
ANTIFUNGAL INVESTIGATIONS ON PLANT ESSENTIAL OILS. A REVIEW

Plant essential oils are potential source of antimicrobials of natural origin. Essential oils and extracts obtained from many plants have recently gained a great popularity and scientific interest. Consumer demand for natural preservatives has increased, whereas the safety aspect of chemical additives has been questioned. The plant oil has been reported to have antibacterial, antifungal, antiviral, antiparasitic and antidermatophytic properties. It is now considered as a valuable source of natural products for development of medicines against various diseases and also for the development of industrial products. The present review is a compilation of updated information on plant essential oils with antifungal properties.
Coupling matrix synthesis for lossy filters by optimization using Fréchet distance

A new cost function definition based on the Fréchet distance used in the process of coupling matrix synthesis by optimization is proposed. Such a definition finds a kind of similarity by direct comparison of an ideal - tuned filter response (template) and filter response obtained from optimized coupling matrix. The numerical experiments of coupling matrix optimizations using proposed cost function for two different sets of scattering parameters, one from ideal simulated filter response and second one as measurement of physical lossy filter, show very good results in sense of optimization time, convergence and accuracy.
Development of an Evapotranspiration Data Assimilation Technique for Streamflow Estimates: A Case Study in a Semi-Arid Region

Streamflow estimates are substantially important as fresh water shortages increase in arid and semi-arid regions where evapotranspiration (ET) is a significant contribution to the water balance. In this regard, evapotranspiration data can be assimilated into a distributed hydrological model (SWAT, Soil and Water Assessment Tool) for improving streamflow estimates. The SWAT model has been widely used for streamflow estimations, but the applications combining SWAT and ET products were rare. Thus, this study aims to develop a SWAT-based evapotranspiration data assimilation system. In particular, SWAT is gridded at Hydrologic Response Unit (HRU) level to incorporate gridded ET products acquired from the remote sensing-based ETMonitor model. In the modeling case, Gridded SWAT (GSWAT) shows a good agreement of streamflow modeling with the original SWAT. Such a scant margin between them is due to the modeling domain mismatch caused by different HRU delineations. In the ET assimilation case, we carry out a synthetic data experiment to illustrate the state augmentation Direct Insertion (DI) method and a real data experiment for the upper Heihe River Basin. The results demonstrate the benefits of the ET assimilation for improving hydrologic processes representations. In the future, more remotely sensed data can be assimilated into the data assimilation system to provide more reliable hydrological predictions.
Recognizing Tweet Relevance with Profile-specific and Profile-independent Supervised Models

In the 2017 TREC (Text Retrieval Conference) Real-Time Summarization (RTS) track, we explored supervised methods for identifying relevant tweets based on a user’s interest proﬁle. We primarily focused on two approaches: proﬁle-speciﬁc and proﬁle-independent. For proﬁle-speciﬁc, we trained a model for each interest proﬁle with features spe-ciﬁc to the target proﬁle.
econstructing the epidemic history of HIV-1 circulating recombinant forms RF 07 BC and CRF 08 BC in East Asia : The relevance of genetic diversity and hylodynamics for vaccine strategies

HIV-1 CRF07 BC and CRF08 BC are closely related circulating recombinant forms (CRFs) with serious public health consequences in China. The temporal and spatial dynamics of these CRFs were determined by estimating their times of divergence, using phylogenetic and Bayesian coalescent methods. Studies of the timelines of CRF07 BC and CRF08 BC trace the expansion of these strains back their origins to Yunnan province. The present study highlights the relevance of incorporating evolutionary and molecular epidemiological analyses into an in-depth understanding of the genesis of HIV epidemic, providing inforIV-1 irculating recombinant form (CRF)
Smart grid health monitoring via dynamic compressive sensing

This work proposes a novel method based on compressive sensing homotopy to dynamically track power line parameters with voltage phasor angle data from phasor measurement units (PMUs). In the literature, compressive sensing has already been successfully applied to locate multiple fault lines in power systems. Our solution substantially extends this work to the case where power line parameters are to be tracked in real time using phasor angle data from a subset of all buses. The new method offers a better performance both in locating the error lines and tracking the changes of line impedances.
Extension of Range of MINRES-CN Algorithm

MINRES-CN is an iterative method for solving systems of linear equations with conjugate-normal coefficient matrices whose conspectra are located on algebraic curves of a low degree. This method was proposed in a previous publication of author and KH. D. Ikramov. In this paper, the range of applicability of MINRES-CN is extended in new direction. These are conjugate normal matrices that are low rank perturbations of Symmetric matrices. Examples are given that demonstrate a higher efficiency of MINRES-CN for this class of systems compared to the well-known algorithm GMRES.
The path back: oaks ( Quercus spp.) facilitate longleaf pine ( Pinus palustris ) seedling establishment in xeric sites

Understanding plant-plant facilitation is critical for predicting how plant community func- tion will respond to changing disturbance and climate. In longleaf pine (Pinus palustris Mill.) ecosystems of the southeastern United States, understanding processes that affect pine reproduction is imperative for conservation efforts that aim to maintain ecosystem resilience across its wide geographic range and edaphic gradients. Variation in wildland fire and plant-plant interactions may be overlooked in "coarse filter" restoration management, where actions are often prescribed over a variety of ecological conditions with an assumed outcome. For example, hardwood reduction techniques are commonly deemed neces- sary for ecological restoration of longleaf pine ecosystems, as hardwoods are presumed competitors with longleaf pine seedlings. Natural regeneration dynamics are difficult to test experimentally given the in- frequent and irregular mast seed events of the longleaf pine. Using a long- term, large- scale restoration ex- periment and a long- term monitoring data site at Eglin Air Force Base, Florida (USA), this study explores the influence of native fire- intolerant oaks on longleaf regeneration. We test for historical observations of hardwood facilitation against the null hypothesis of competitive exclusion. Our results provide evidence of hardwood facilitation on newly germinated longleaf pine seedlings (<2 yr old) after two mast seeding events (1996, 2011). Using regression- tree and Kaplan-Meier survival analyses, we found that deciduous oak midstory density was the most significant variable associated with longleaf pine seedling survival rates in the first 2 yr after germination. We found that as few as 43 oak midstory stems ha −1 were sufficient to facilitate seedling survival, but as many as 1400 stems ha −1 maintained facilitation without competitive exclusion of seedlings. We found that 1.5- yr- old pine seedlings were more moisture stressed under more open canopy conditions when compared to those immediately adjacent to a midstory oak canopy. Rec- ognition that deciduous oaks are important facilitators of longleaf seedling establishment on xeric sites represents a significant departure from conventional wisdom and current management practices that has largely focused on competitive exclusion. This points to a critical role of a deciduous oak midstory of moderate densities for long- term ecosystem resilience in xeric longleaf pine ecosystems in light of climate uncertainty.
Spatiotemporal Patterns Induced by Cross-Diffusion in a Three-Species Food Chain Model

This paper focuses on a three-species Lotka–Volterra food chain model with cross-diffusion under homogeneous Neumann boundary conditions. The known results indicate that no spatiotemporal patterns happen in the corresponding reaction–diffusion system. When some cross-diffusion terms are introduced in the system, the existence of nonconstant positive steady-states as well as the Hopf bifurcation is studied. Our result shows that cross-diffusion plays a crucial role in the formation of spatiotemporal patterns, that is, it can create not only stationary patterns but also spatially inhomogeneous periodic oscillatory patterns, which is a strong contrast to the case without cross-diffusion.
Survey on Web Image Re-Ranking Using Query-Specific Semantic Signatures

: In today’s world accessing of an image using search engine is a important task, but getting a relevant image is a complex task. To improve the result of web-based image search image re-ranking is effective way. In web based image search like google, bing use text query or query keyword to retrieve the images. From this pool of images user select one image as query image and remaining images re-ranked based on their visual similarities. A main contend is , the similarities of visual features do not well correlate with semantic meanings of images which understand users’ search purpose. Commonly used social multimedia websites like Photo bucket, flicker, Amazon is used to retrieve images in such a large network is very useful but also very monotony or challenging process because there exists lots of information such as images, text and network structure. It also takes more time and the retrieved contents are not exactly always same. novel internet image search require user only click on one image as query and images from the remaining images retrieved by text based search are re-ranked based on visual and texture feature. In Novel image re-ranking framework, offline learns different visual semantic spaces for different query keywords through keyword expansions. At the online stage, images are re-ranked by comparing their semantic signatures obtained from the visual semantic space specified by the query keyword.
CFD prediction of unsteady wicket gate-runner interaction in Francis turbines: A new standard hydraulic design procedure

GE Energy Hydro has developed a new procedure for the CFD analysis of the unsteady rotor-stator interaction between the wicket gates and runner blades of Francis turbines. The results from the CFD calculations have been successfully validated by means of high quality unsteady pressure measurements on a model turbine performed at Ecole Polytechnique Federale de Lausanne. Due to the efficiency of the procedure and the available computational capacities, unsteady rotor-stator analyses are now routinely employed in the design of Francis runners.
Improving computing issues in Internet of Things driven e-health systems

The Internet of Things (IoT) progress shows a positive influence on all aspects of healthcare. Enabling access to high-quality healthcare to anyone, from anywhere are the main advantages of the IoT-driven e-health systems. Increasing numbers of medical devices and sensors and 24/7 monitoring of health parameters, consequently lead to enormous quantities and varieties of data. Having in mind the amounts of generated data and importance of on-time diagnosis and decision making as well as a significance of fast reactions in a case of detected abnormalities, transmitting all data to the Cloud for analysis may not be appropriate. For that reason, implementing a Fog computing, which realizes mini analytic processing centers at the edge of the network, appears as a better approach. This paper analyzes the manners and benefits of implementing Fog computing in the IoT-driven e-health systems. It is expected that the IoT and Fog computing together will revolutionize healthcare like nothing else before. Keywords—Internet of Things (IoT); e-health; Cloud; Fog computing
An overview on childhood obesity

___________________________________________________________________________________ Introduction: Childhood obesity is a modern epidemic situation and is the most frequent eating disorder. The importance of childhood obesity has driven many researchers to investigate and study its etiology, consequences, and interventions for managing it. Purpose: To review the factors which contribute to the development of childhood obesity, its consequences, and the interventions for managing the problem. Results: It follows from the review that childhood obesity is associated with the presence of genetic, behavioral, and environmental factors, while its consequences are connected with cardiovascular, gastrointestinal, and respiratory diseases. Certain psychosocial and endocrine disorders are also observed. Management of the problem can be achieved with targeted interventions in the context of the family, school and community environment. Conclusions: Childhood obesity is directly connected with the adoption of a sedentary lifestyle, a change in healthy eating habits, and reduced physical activity. Apart from the serious risks it causes to children, this problem considerably affects the cost of healthcare and social security systems.
Sildenafil for Male Erectile Dysfunction

Data Synthesis: Twenty-seven trials (6659 men) met the inclusion criteria. In results pooled from 14 parallelgroup, flexible as-needed dosing trials, sildenafil was more likely than placebo to lead to successful sexual intercourse, with a higher percentage of successful intercourse attempts (57% vs 21%; weighted mean difference, 33.7; 95% confidence interval [CI], 29.2-38.2; 2283 men) and a greater percentage of men experiencing at least 1 intercourse success during treatment (83% vs 45%; relative benefit increase, 1.8; 95% CI, 1.7-1.9; 2205 men). In data pooled from 6 parallel-group, fixed-dose trials, efficacy appeared slightly greater at higher doses. Treatment response appeared to vary between patient subgroups, although relative to placebo, sildenafil significantly improved erectile function in all evaluated subgroups. In trials with parallel-group design and flexible dosing, men randomized to receive sildenafil were less likely than those receiving placebo to drop out for any reason and no more likely to drop out due to an adverse event or laboratory abnormality. Specific adverse events with sildenafil included flushing (12%), headache (11%), dyspepsia (5%), and visual disturbances (3%); all adverse events were significantly less likely to occur with placebo. Sildenafil was not significantly associated with serious cardiovascular events or death.
Scaling of Trigate Junctionless Nanowire MOSFET With Gate Length Down to 13 nm

In this letter, we report the performance of high-κ /metal gate nanowire (NW) transistors without junctions fabricated with a channel thickness of 9 nm and sub-15-nm gate length and NW width. Near-ideal subthreshold slope (SS) and extremely low leakage currents are demonstrated for ultrascaled gate lengths with a high on-off ratio (Ion/Ioff) >; 106. For the first time, an SS lower than 70 mV/dec is achieved at LG = 13 nm for n-type and p-type transistors, highlighting excellent electrostatic integrity of trigate junctionless NW MOSFETs.
Deep‐biosphere consortium of fungi and prokaryotes in Eocene subseafloor basalts

The deep biosphere of the subseafloor crust is believed to contain a significant part of Earth's biomass, but because of the difficulties of directly observing the living organisms, its composition and ecology are poorly known. We report here a consortium of fossilized prokaryotic and eukaryotic micro‐organisms, occupying cavities in deep‐drilled vesicular basalt from the Emperor Seamounts, Pacific Ocean, 67.5 m below seafloor (mbsf). Fungal hyphae provide the framework on which prokaryote‐like organisms are suspended like cobwebs and iron‐oxidizing bacteria form microstromatolites (Frutexites). The spatial inter‐relationships show that the organisms were living at the same time in an integrated fashion, suggesting symbiotic interdependence. The community is contemporaneous with secondary mineralizations of calcite partly filling the cavities. The fungal hyphae frequently extend into the calcite, indicating that they were able to bore into the substrate through mineral dissolution. A symbiotic relationship with chemoautotrophs, as inferred for the observed consortium, may be a pre‐requisite for the eukaryotic colonization of crustal rocks. Fossils thus open a window to the extant as well as the ancient deep biosphere.
Semi-Automated Transcription Generation for Pashto Cursive Script

Usually, a large amount of transcription data is required for training and benchmarking Optical Character Recognition (OCR) systems for new scripts like Pashto. In case of real image data; mostly the images are acquired through scanning. For supervised training scenarios, it is required to have a ground truth against the corresponding scanned images. Usually, the ground truth is created by transcribing the documents manually, which is an overwhelmingly laborious phase. This work introduces a semi-automated procedure for transcribing Pashto document images using a long short term memory (LSTM) network architecture. The process is applied for the transcription of 1000 images having Pashto ligatures and it improves the transcription performance to around three times of manual method.
Intrinsic Plagiarism Detection Using Latent Semantic Indexing and Stylometry

Plagiarism is growing increasingly for the last few years due to the rapid proliferation of information through the World Wide Web (WWW). In this paper, we present an integrated approach based on Latent Semantic Indexing (LSI) and Stylometry technique for intrinsic plagiarism detection. LSI is used for the term document matrix of dataset, whereas, stylometry is used for intrinsic approximation of human writing style. We have conducted a series of experiments to investigate the efficiency of dimensionality reduction (DR) parameter as the core for LSI technique in order to gain insights into its effects using a small corpus. Following that, we carried out comparative evaluation of our approach by using the LSI and Stylometry separately, and then applying them together. Our results show that the performance of the proposed approach was improved when an integrated approach consisting of LSI and stylometry was applied.
Pedestrian detection with an improved Adaboost

This paper focuses on improving the performance of Adaboost (Adaptive Boosting) by using weak classifiers that make classification with a confidence score. Single thresholds and nearest neighbor classifiers are used as base classifiers. The proposed method is applied to the problem of pedestrian detection in still images. Haar-like basic features are used to construct weak classifiers.
How Direct and Vicarious Experience Promotes Security Hygiene

This conference proceedings paper presents part of a larger study that is being prepared for publication in an academic journal. Elements are withheld from the printed version, but will be presented at the conference in Albany. Readers may contact the authors for more information. Keywords—computer security hygiene; security behaviors; compliance; direct experience; vicarious experience; SETA programs; protection motivation; PMT; threat; response; social influence; self-efficacy
Effect of ocean acidification on microbial diversity and on microbe-driven biogeochemistry and ecosystem functioning

The ocean absorbs about 25% of anthropogenic CO2 emissions, which alters its chem- istry. Among the changes of the carbonate system are an increase in the partial pressure of CO2 (pCO2) and a decline of pH; hence, the whole process is often referred to as 'ocean acidification'. Many microbial processes can be affected either directly or indirectly via a cascade of effects through the response of non-microbial groups and/or through changes in seawater chemistry. We briefly review the current understanding of the impact of ocean acidification on microbial diversity and pro- cesses, and highlight the gaps that need to be addressed in future research. The focus is on Bacteria, Archaea, viruses and protistan grazers but also includes total primary production of phytoplankton as well as species composition of eukaryotic phytoplankton. Some species and communities exhibit increased primary production at elevated pCO2. In contrast to their heterocystous counterparts, nitro- gen fixation by non-heterocystous cyanobacteria is stimulated by elevated pCO2. The experimental data on the response of prokaryotic production to ocean acidification are not consistent. Very few other microbial processes have been investigated at environmentally relevant pH levels. The poten- tial for microbes to adapt to ocean acidification, at either the species level by genetic change or at the community level through the replacement of sensitive species or groups by non- or less sensitive ones, is completely unknown. Consequently, the impact of ocean acidification on keystone species and microbial diversity needs to be elucidated. Most experiments used a short-term perturbation approach by using cultured organisms; few were conducted in mesocosms and none in situ. There is likely a lot to be learned from observations in areas naturally enriched with CO2, such as vents, upwelling and near-shore areas.