Miracle-dz/UniFAR-FTUs huggingface dataset:
Incorporating Detectability into Analyses of Population Trends Based on Hawk Counts: A Double-Observer Approach

Abstract. Counts of migrating raptors are done worldwide and are seen as a useful tool for hawk-population management. Rigorous monitoring of animal abundance, however, requires an evaluation of the detectability associated with the survey methods. Incorporating detectability into abundance estimates has never been done in the case of counts of migrating hawks. The goal of this study was to evaluate the extent to which variation in weather and raptor behavior can affect the detectability of migrating hawks and, consequently, the assessment of long-term population trends. We used a double-observer approach to evaluate detection probability at the Observatoire d'oiseaux de Tadoussac in Québec, Canada. We then did a population-viability analysis, adjusted for detectability, on historical raw counts to evaluate how detectability affects the assessment of extinction probability of diurnal raptors' populations. The detectability of migrating raptors ranged between 75% and 90% and was influenced mainly by weather and flight altitude. High-flying hawks were easier to detect against a cloudy sky than against a blindingly sunny sky. Optimal detection probability was associated with hawks flying at eye level. Probability of detection was higher for larger hawks and for hawks migrating in a cluster. No observer effects were found. No differences were found in the quasi-extinction probability of a species when detectability was accounted for, but this could be the result of the highly variable weather conditions experienced at our maritime site coupled with short time series. We suggest repeating our study at both maritime and continental monitoring sites if our results are to be generalized.
Metabolic inhibitors induce symplastic movement of solutes from the transport phloem of Arabidopsis roots

The distribution of the phloem-mobile fluorescent probe carboxyfluorescein (CF) within the primary root of Arabidopsis thaliana was imaged using a confocal laser scanning microscope (CLSM) and the tissue and subcellular distribution of the probe was shown to be influenced by treatment with a number of metabolic inhibitors. Sodium azide completely inhibited the phloem transport of CF into the treated region of root. Treatment with both CCCP and probenecid induced the lateral movement of CF from the transport phloem to the adjacent cell layers, and the probe accumulated in the cytoplasm of the pericycle, endodermis, cortex, and epidermis. This lateral transfer of CF was restricted to the pericycle in the presence of plasmo-lysing concentrations of sorbitol. Ultrastructural investigations demonstrated the presence of a plasmodesmatal pathway leading from the sieve element-companion cell complex (SE-CC) out into the cortex. The results are consistent with the operation of this symplastic pathway under conditions of metabolic energy reduction and are discussed in relation to the regulation of plasmodesmatal conductance in the transport phloem.
Prototype Development And Testing of A Power Electronics Converter For Green Energy Using dSPACE

Green energy like Solar, Wind etc. which includes green electricity, is clean energy. In this case we use solar cell. It is produced with little-to-no environmental impact and does not dispense greenhouse gases into the air that contribute to global warming, the way fossil fuels do. By observing this advantages this paper presents a simulation modeling for hardware development of single-phase inverter using dSPACE DS1202 controller board for photovoltaic application. The controller acquired the advantage of linking the simulated model in MATLAB/SIMULINK environment to a prototype. It generates the pulse-width modulation signals for the switching of the Mosfet switches. The controller managed to stabilize 50 Hz sinusoidal ac output voltage of the inverter. The result obtained is near to expected ones, it suggests that the developed control system exhibits a good performance. Thus, it justified that the develop control strategy can be translated into the inverter prototype by utilizing the dSPACE platform.
FITTING DRUG CONCENTRATION DATA ACCORDING TO ITS CREDIBILITY: DETERMINING THE ASSAY ERROR PATTERN

Many methods have been used to fit a pharmacokinetic model to the serum level data. Unity weighting, weighting by the reciprocal of the measured concentration (or of its squared value), the use of a constant coefficient of variation, and others have been employed. Use of various weighting schemes has often been regarded as an art, in order to get the smallest sum of squares of the residuals, the "best" fit.
Effect of Image Compression with Frame Size and DCT compression using Local Binary Pattern

: Most of the times, large information exist in the database images requires large storage area and the processing time. To reduce storage and processing time, images sizes can be compressed. By compressing the image sizes, there will be loss of information. Due to loss of information, sometimes face recognition algorithms failed to recognize the subjects of the images. Also major issue is compressed images to be decompressed while using in face recognition. Decompressing a compressed image requires a considerable amount of resources like time, processing power, large memory. So, the face recognition systems would benefit by avoiding this full decompression. That means, the face recognition is implemented with the images in the compressed mode, so that to increase computation speed and overall performance of a face recognition system. The contribution made here is the development of unique method of reducing the frame size for face recognition in place of DCT and DWT transformation techniques.
Modeling Brain Microarchitecture with Deep Representation Learning

Models of neural architecture and organization are critical for many tasks in neuroscience. However, building these models in an automated, data-driven manner within and across varied brain regions still remains a challenge. In this work, we leverage the power of deep learning to build a rich model of neural microarchitecture across multiple, diversiﬁed brain areas. We then use low-rank matrix factorization to project the model’s features onto an interpretable, lower-dimensional space. Our results show that the subsequent embeddings possess biologically meaningful structure which makes them useful in the study of brain structure at multiple scales. We demonstrate the use of this approach in the discovery of microstructural patterns and motifs within brain areas, as well as in revealing relationships between multiple heterogeneous brain regions.
CRITICAL SUCCESS FACTOR OF BUILDING INFORMATION MODELLING IMPLEMENTATION IN FACILITIES MANAGEMENT – AN OVERVIEW

Building Information Modelling (BIM) is considered as the solution for information handling within facilities management. This paper aims to investigate the current literature for critical success factors (CSFs) of BIM implementations, construct a compilation, and distinguish gaps related to factors of BIM implementation. Hundreds of articles were searched using keywords identified from the literature review. Endless series of article abstract reviews resulted in 33 articles selected for the compilation. CSF constructs were then identified using content analysis methodology and an inductive coding technique. A subsequent critical analysis identified gaps in the literature base. The most significant finding is the lack of research that has focused on the identification of CSFs from the perspectives of key stakeholders. Additionally, it appears that the most widely cited CSFs comprehended around the factors of people, process and little detail on specific implementation tactics. There is a need to focus future research efforts on the study of CSFs as they apply to the perspectives of key stakeholders and to ensure that this stakeholder approach is also comprehensive in its coverage of CSFs. One of the key limitations of this research is the occurrence of duplication in the frequency analysis of the success factors, which led to secondary research being the primary methodology for a large number of the articles cited. This research provides a comprehensive compilation of all previously identified BIM implementation success factors through a clear, structured methodological approach.
Effects of Curcumin Supplementation on Viability and Antioxidant Capacity of Buffalo Granulosa Cells under In Vitro Culture Conditions

The current study was conducted to investigate the possible protective effect of curcumin supplementation on buffalo granulosa cells (GCs) under in vitro culture condition. Buffalo ovaries were collected from local abattoir in physiological saline solution and transported directly to laboratory. Follicular fluid containing GCs and cumulusoocyte-complexes were aspirated from antral follicles with diameter 2-8 mm. The collected GCs were seeded (Approximately 375,000 viable cells) in an 8-well culture plate containing tissue culture medium-199 (TCM-199) and kept at 37 °C in a humidified atmosphere of 5% CO2. The curcumin was supplemented to TCM media at levels of 1, 2.5, 5 and 10 μM for 24 and 48 h at 37 °C or kept without treatment as control group. The viability of cells was determined using the trypan blue test. Intracellular reactive oxygen species (ROS) level was assessed by measuring the fluorescent intensity of 6-carboxy-2′,7′-dichlorodihydro fluorescein diacetate (H2DCFDA). In addition, mitochondrial activity of GCs was determined. The results of the present study indicated that the viability of GCs under culture conditions was significantly decreased in groups treated with 1, 2.5, 5 and 10 μM curcumin (86.0%, 86.26%, 83.0% and 74.0%, respectively) compared to control group (93.60 %). The two groups of granulosa cells cultured with 2.5 and 5 μM curcumin recorded greater level of mitochondrial activity than the groups cultured with 1 μM and 10 μM curcumin. Moreover, there was a significant increase in ROS level in group cultured with 10 μM curcumin, compared to control and other experimental groups. The enzyme activity of catalase (CAT), superoxide dismutase (SOD), glutathione (GSH) and 1, 1-diphenyl-2-picrylhydrazyl (DPPH) was increased after treating in vitro cultured granulosa cells with 5 μM of curcumin. However, the enzymatic activity of CAT, SOD, GSH and DPPH was declined significantly 48 h post-curcumin treatment. In conclusion, supplementation of curcumin at low concentration (2.5 μM) for 24 h to in vitro cultured GCs improved intracellular metabolic activity and antioxidant protective system, whereas it could not sustain this action for 48 h. Moreover, supplementation of curcumin at high concentration and for long duration may negatively affect viability of GCs under in vitro culture condition via induction of oxidative stress.
Dual Image Dielectric Guide (DIDG) for Polarization Diversity Applications at Millimeter Wave Frequency

In this paper, a dual polarized dielectric waveguide is proposed for polarization diversity applications in millimeter wave frequency. The waveguide consists of a squarish dielectric slab attached to two orthogonal vertical and horizontal conductor walls. These walls act as image planes resulting in dual polarized mono-mode region with the same propagation constant for Ey11 and Ex11 modes. Additionally, two sets of planar transitions exploiting the conductor walls are designed to excite the orthogonal modes as well as provide hybrid circuit integration. The transitions bandwidth (BW) is 3GHz covering 27 to 30 -GHz millimeter wave frequency band. Measured insertion loss of the proposed guide integrated with transition in each side is around 2.7 dB. Isolation between the two orthogonal modes is measured better than 15 dB. Simulated and measured propagation constant of the proposed guide are well-matched.
Atividade antimicrobiana de óleos essenciais de condimentos frente a amostras de Escherichia coli isoladas de aves e bovinos

ABSTRACT The discussed issue about replacing the use ofantibiotics in animal feed (growth promoters) requires emergingalternatives. To meet the needs of microbial inhibitors in thesefoods, the essentials oils (EOS) constitute potential alternativesunder evaluation. In this study it was evaluated the antimicrobialactivities of EOs from Oreganum vulgare (oregano), Thymusvulgaris (thyme), Lippia graveolens (Mexican oregano), Cinnamomum zeylanicum (cinnamon), Zingiber officinale (ginger), Salvia officinalis (sage), Rosmarinus officinalis (rosemary) and Ocimum basilicum (basil) against Escherichiacoli strains isolated from poultry (n=43) and cattle faeces (n=36). The minimum inhibitory concentration (MIC) and minimumbactericidal concentration (MBC) were determined for eachisolate by using the broth microdilution technique, from themaximum concentration of 6400 μ g mL -1 of each OE tested.Antimicrobial activity was observed on the essential oils oforegano, mexican oregano, thymus and cinnamon. For allstrains tested, regardless of their origin, the OES more and lesseffective as antimicrobial activity were oregano and cinnamon,respectively. These results confirm the antimicrobial potentialof some EOs, which deserve further research, addressing theaddition of essential oils in poultry and cattle feeding.
Phytoplankton diversity during the spring bloom in the northwestern Mediterranean Sea

Abstract The section of the Liguro-Provençal basin north of the Balearic Islands is one of the most productive sites in the whole Mediterranean Sea, with intense phytoplankton bloom lasting about 2 months in late winter-early spring. The phytoplankton species composition of the area was investigated using light and electron microscopy to analyze bottle and net samples collected at several stations in spring 2000 and 2003. Serial dilution cultures established from bottle samples were also examined. A total of 168 phytoplankton taxa was identified, consisting of 73 Coscinodiscophyceae, 47 Dinophyceae, 25 Coccolithophyceae and 4 Prymnesiophyceae, 5 Prasinophyceae, 3 Chrysophyceae, 2 Cryptophyceae, 2 Dictyochophyceae, 1 Euglenophyceae, 1 Pelagophyceae, 1 Choanoflagellidea, 1 Filosea and 3 incertae sedis. We also provided a brief taxonomic description and original micrographs for 25 of the smallest and/or less known species identified in the study area, which may go undetected during routine microscopical analysis of fixed samples. Among these, 10 species were recorded for the first time in the Mediterranean Sea, confirming the need of detailed studies to reveal the biodiversity and biogeography of Mediterranean phytoplankton.
Green Synthesis and Antibacterial Activities of Silver Nanoparticles Using Extracellular Laccase of Lentinus edodes

This study reports the multi-step mutagenesis of Lentinus edodes towards optimization of the production of laccase and novel application of laccase in the biosynthesis of silver nanoparticles (AgNPs) which could be used to develop an eco-friendly method for the rapid biosynthesis of AgNPs. The wild strain of L. edodes was subjected to UV irradiation at 254 nm and the resultant viable mutant was further treated with acridine orange, a chemical mutagen. The strains were evaluated for the production of laccase and the crude laccase of the UV mutant (UV 10 ) was used for the green synthesis of AgNPs. The particles were characterized by UV-Visible spectroscopy, Fourier transform infrared (FTIR) spectroscopy and scanning electron microscopy (SEM). Laccase activities of wild, UV 10 and UV 10 ACR 8 strains of L. edodes were obtained as 2.6, 10.6 and 2.8 U/ml/min respectively after 7 days of fermentation, showing laccase yield improvement of 4.08-fold for UV 10 mutant. UV-Visible spectroscopy indicated the formation of AgNPs at absorption band of 430 nm. FTIR result indicated that proteins were responsible for AgNP synthesis, while SEM analysis confirmed the formation of walnut-shaped nanoparticles with size range of 50-100 nm. The biosynthesized nanoparticles revealed effective inhibition against clinical isolates of Escherichia coli , Pseudomonas aeruginosa and Klebsiella pneumoniae . To the best of the authors’ knowledge, this result represents the first report on the biosynthesis of AgNPs using L. edodes metabolite . The report adds to the growing relevance of L. edodes as potential industrially viable organism, used for diverse biotechnological applications.
MIGRATION ROUTES OF STEPPE EAGLES BETWEEN ASIA AND AFRICA: A STUDY BY MEANS OF SATELLITE TELEMETRY

Abstract We trapped 16 Steppe Eagles (Aquila nipalensis) on migration and on their wintering grounds and fitted them with satellite transmitters, 15 of them in Saudi Arabia and one in South Africa. Seven of the 14 Steppe Eagles trapped in Arabia in autumn did not migrate to Africa but spent the winter in the Arabian Peninsula. One adult migrated to southern Africa. The other six wintered in northeastern Africa, in some cases north of Bab-el-Mandeb, the straits at the southeastern end of the Red Sea, which they had crossed to reach the African continent. On their spring migration all eagles wintering in Africa migrated via the Suez, Egypt–Eilat, Israel, area at the northern tip of the Red Sea. This loop migration around the Red Sea is probably caused by east winds that blow from October until April, making the return migration difficult via Bab-el-Mandeb. This finding should help to explain the difference in eagle numbers between spring and autumn at such migration bottlenecks as Eilat, Suez, and Bab-el-Mandeb. Unlike eagles coming from Sudan and Ethiopia, eagles wintering in southern Africa must make a considerable detour of over 1200 km to complete this loop. The increase in Steppe Eagles overwintering in Arabia has probably contributed to the decline in the number of birds passing through Eilat in spring during recent years. Rutas Migratorias de Aquila nipalensis entre Asia y África: Un Estudio por Medio de Telemetría Satelital Resumen. Atrapamos 16 águilas (Aquila nipalensis), incluyendo aves migratorias e invernantes (15 en Arabia Saudita y una en Sud África) y les colocamos transmisores satelitales. Siete de las 14 águilas atrapadas en Arabia durante el otoño no migraron hacia África, sino que invernaron en la Península Arábica. Aparte de un adulto que migró hacia el sur de África, las restantes seis invernaron en África oriental, en algunos casos al norte de los estrechos al extremo sureste del Mar Rojo (Bab-el-Mandeb) los cuales cruzaron para alcanzar el continente africano. Durante la migración primaveral, todas las águilas que invernaron en África migraron vía Suez y vía el área de Eilat, alrededor del extremo norte del Mar Rojo. La migración alrededor de este cuerpo de agua siguiendo una ruta diferente a la invernal, es probablemente causada por el viento que provenie del este entre octubre y abril, dificultando la migración de retorno vía Bab-el-Mandeb en febrero y marzo. Este descubrimiento debe ayudar a explicar la diferencia en los números entre primavera y otoño en sitios como Eilat, Suez y Bab-el-Mandeb, que actúan como cuellos de botella. La migración siguiendo dos rutas diferentes significa un desvío considerable de 1200 km para aquellas águilas que invernan en el sur de África, pero no para las que vienen desde Sudán y Etiopía. El incremento de aves que inviernan en Arabia probablemente ha contribuido durante los últimos años a la disminución en los números de aves que pasan a través de Eilat en primavera.
Database Intrusion Detection using Role and User Level Sequential Pattern Mining and Fuzzy Clustering

Majority of the present-day organizations store and use data on large scale for their functioning. Often this data is private and essential, and unauthorized access to the data can have serious financial and legal repercussions. While it is easier to capture malicious activities perpetrated by an external agent, it is relatively harder to detect transactions committed by company employee with some malicious intent. This is due to the awareness of the employee about the company database structure along with their authorized access privileges. We propose a novel intrusion detection system called user and role-level cluster-based intrusion detection system (URCIDS). We analyze the user behavior at role and user level, to check if the transaction under consideration is in accordance to the regular behavior of the user. We flag transactions that violate the general access pattern followed by the user. A detailed experimental analysis shows that we are able to gain a higher accuracy than most of the state-of-the-art methodologies proposed in this field of study.
The Development of Blended Learning Model using Edmodo to Train Student Critical Thinking Skills on Impulse-Momentum Topic

This study aims to determine the effect of developing blended learning models on students' critical thinking skills on impulse and momentum. The research method used in this study is ADDIE. The population in this study is class X MIA SMAN 4 Serang City. The sample of this study amounted to 31 students from class X MIA 2 as an experimental class using a blended learning model and 30 students from class X MIA 3 as a control class using a cooperative model. The test used in this study was eight essays in the form of representatives of one question indicator. These results indicate an increase in students' critical thinking skills after being given treatment that is by using a blended learning model. A large increase is evidenced by the N-Gain value in the experimental class that is 0.60 in the medium category and 0.23 in the low category in the control class. The average value of pretest and posttest is 5.27 and 9.77 in the control class, while in the experimental class is 5.65 and 16.61. These results show that there is an influence on the development of blended learning models for critical thinking skills on the momentum and impulses.
PERFORMANCE LIMITS OF GAUSSIAN CHANNELS WITH QUANTIZED FEEDBACK

This thesis studies the performance limits of Gaussian channels with quantized feedback. The channel capacity of a channel with additive white Gaussian noise was already studied by Shannon and is well known as Shannon capacity. The problem of optimal compression of a source was also mathematically formulated by Shannon in his rate distortion theory. These two aspects are combined in this thesis, as the channel output should be quantized. We show that a rate-distortion optimal compression of the channel output maximizes the mutual information only in the scalar case, but is generally suboptimal in the vector case. We show that the information bottleneck method provides a framework for quantizers which maximize the mutual information. By means of some selected channels we discuss the differences in mutual information and quantify those. We show that the difference is primarily determined by the eigenvalues of the channel. It is known that perfect feedback does not increase the channel capacity, but the error probability is substantially decreased for finite blocklengths. The performance of such systems with a noisy feedback channel breaks down, i.e., no positive rate is achievable. In this thesis, we study schemes with quantized channel output and quantized feedback, and we derive equations for the achievable rate and error probabilities of such systems. Here different quantization of channel output and feedback corresponds to noisy feedback. Furthermore, we present a scheme where the receiver has the quantized feedback as side-information to achieve positive rates. iii