Miracle-dz/UniFAR-FTUs huggingface dataset:
Multiple Mini-Interview Performance And First Semester Achievement In A Baccalaureate Respiratory Care Program

Success in an undergraduate respiratory care program requires that students demonstrate skills that although not traditionally assessed in the admissions process, are indicative of success in the clinical environment. Attributes like critical and interpersonal skills, empathy, and self-appraisal are competencies developed by different yet integrated intellectual processes and contribute significantly to the overall perception of intelligence. However, despite limited efficacy in predicting rate of attrition in an undergraduate clinical program such respiratory care, traditional admissions criteria continue to focus solely on objective indicators of academic ability. The purpose of this quantitative case study was to investigate the utility of the multiple miniinterview (MMI) as an adjunct method of selecting candidates to a small cohort-based baccalaureate respiratory care program. The MMI is a method of student assessment designed to more accurately evaluate non-cognitive skills inherent to successful clinicians during the admissions process. A three-station MMI was integrated into the 2016 cohort admission process at the participating institution. Data including performance on the MMI, course achievement, and rate of attrition in the first semester of core respiratory care curriculum were recorded. Data for sixty-nine students across three separate cohort groups were collected and analyzed. Results of this study indicated a significant relationship between both total MMI points and MMI rank and achievement in the introductory clinical component of this program (r (23) =. 528, p= . 007 and r (23) = . 509, p= . 009, respectively). A logistic regression analysis revealed that a
Investigation of load-balancing for a network of Suns

With the advent of networked and distributed operating systems we no longer depend on one centralised computer for our processing power. One recent issue that has not been addressed within our network of Sun workstations is known as load balancing. This feature gives the ability to distribute the offered workload among the available computers, to improve system performance and to ensure that machines do not remain idle while others are overloaded. This report studies the c lb load balancing system that has been developed for use within our environment. clb uses an apparently new method, the initial placernent of users, rather than the more familiar, but complex methods of initial placement of processes and process migration. clb has proven to be useful in distributing the system workload among the available hosts, and will help to smooth out the peak periods of workload. A novel feature of clb is that it can make suggestions about the configuration of the system's fixed resources.
Discrete gauge symmetries in string theory

A la hora de construir modelos de fisica de particulas a menudo se emplean simetrias discretas por razones fenomenologicas, como prohibir acoplos indeseados o peligrosos, o explicar y reproducir las matrices de masa y de mezcla de los fermiones en fisica del sabor. Si bien cumplen con su labor fenomenologica, desde el punto de vista de teoria de campos, estas simetrias discretas no estan suficientemente motivadas a un nivel fundamental. Ademas, hay indicios de que en una teoria cuantica que incluye tambien gravedad las simetrias globales (continuas o discretas) son violadas, por lo que las simetrias exactas de la naturaleza deberian ser simetrias locales o gauge. Esto motiva el estudio de las simetrias gauge, en especial las discretas, en Teoria de Cuerdas, la cual es una de las propuestas mas prometedoras para una teoria completa de gravedad cuantica. El objetivo de esta tesis es estudiar diversos mecanismos que llevan a la aparicion de simetrias gauge discretas en teoria de cuerdas, principalmente en compactificaciones a cuatro dimensiones, aunque tambien se exploran diversas generalizaciones, como compactificaciones a dimensiones diferentes de cuatro, o en teoria de cuerdas supercriticas.
Parallelization and Optimization of Pedestrian Detection Software on NVIDIA GPGPU using CUDA-C

The future of the computation is the Graphical Processing Unit, i. e. the GPU. The graphics cards have been shown in the pasture of image processing and accelerated interpretation of 3D scenes, and computational capability that these GPUs acquire, they are rising into immense parallel computing units. It is quite simple to program any graphics processor to execute universal parallel tasks. But after understanding the various architectural features of the graphics processor, it can be used to execute other demanding tasks as well. In this paper, the use CUDA (Compute Unified Device Architecture) can fully utilize most tremendous power of these GPUs. CUDA is most popular parallel computing architecture of NVIDIA. It enables dramatic increases in computing performance, by harnessing the power of the GPU. In this, the sequential software of the famous image processing problem, the pedestrian detection[1] and parallelize it to run on GPUs and increase the performance of that software. We have presented a new pedestrian detector that improves in speed and quality of the pedestrian detection. By efficiently handling different scales and transferring computation from the test time to training time, detection speed is improved
Reconstructing genome-scale metabolic models with merlin : the Ashbya gossypii case study

The reconstruction of genome-scale metabolic networks is an iterative process where information obtained from several data sources is combined to construct a preliminary set of reactions and boundaries. This process encompasses several steps, such as genome annotation; identification of the reactions; determination of the reaction stoichiometry; compartmentation and assignment of localization; determination of the biomass composition; determination of energy requirements; and finally definition of additional constraints [1]. merlin is a software tool, developed in-house, that implements semi-automatically several of these steps. merlin performs functional genomic annotations of lists of genes. merlin retrieves information of each homologue and automatically scores the results, allowing the user to change the selection, and dynamically (re-)annotate the genome. Afterwards, merlin allows the user to use KEGG metabolic data to build the reaction set expedites the transition from genome-scale data to SBML metabolic models, allowing the user to have a preliminary view of the biochemical network [2]. Although Ashbya gossypii has been known in the scientific community for 80 years (mainly as a plant pathogen) and in the industrial community for near 20 years (as a riboflavin producer), interest in this microorganism increased as a result of the publication of its genome sequence in 2004. A. gossypii grows well in waste vegetable oils and thus a cheap, environmental friendly culture medium can be designed for growth and metabolite production. Taking advantage of these unique features, the development of a genome–scale metabolic model will help to develop A. gossypii as a cell factory organism.
Semantic Web Standards for Publishing and Integrating Open Data

The World Wide Web Consortium (W3C) as the main standardization body for Web standards has set a particular focus on publishing and integrating Open Data. In this chapter, the authors explain various standards from the W3C’s Semantic Web activity and the–potential–role they play in the context of Open Data: RDF, as a standard data format for publishing and consuming structured information on the Web; the Linked Data principles for interlinking RDF data published across the Web and leveraging a Web of Data; RDFS and OWL to describe vocabularies used in RDF and for describing mappings between such vocabularies. The authors conclude with a review of current deployments of these standards on the Web, particularly within public Open Data initiatives, and discuss potential risks and challenges.
A 30–40 GHz CMOS Receiver Front-End with 5.9 dB NF and 16.5 dB Conversion Gain for Broadband Spectrum Sensing Applications

A broadband receiver front-end with low noise figure and flat conversion gain response is presented in this paper. The receiver front-end is a part of the broadband spectrum sensing receiver and processes 30–40 GHz of broad input spectrum followed by down-conversion to DC-10 GHz of IF signal. The proposed work is comprised of a low noise amplifier (LNA), on-chip passive Balun, down conversion mixer, and output buffer. To achieve front-end target specification over 10 GHz input bandwidth, the stagger-tuned LNA is employed and the down conversion mixer is loaded with a 3rd-order LC ladder low pass filter. The prototype chip was implemented in 45 nm CMOS technology. The chip achieves 10.3–16.5 dB conversion gain, 5.9 dB integrated NF, and −11 dBm IIP3 from 30 to 40 GHz. The chip is realized within 0.42 mm 2 and consumes 96 mW from a 1.2 V supply.
Capturing the spatio-temporal continuity for video semantic segmentation

In recent years, image semantic segmentation based on a convolutional neural network has achieved many advances. However, the development of video semantic segmentation is relatively slow. Directly applying the image segmentation algorithms to each video frame separately may ignore the temporal region continuity inherent in videos. In this study, the authors propose a novel deep neural network architecture with a newly devised spatio-temporal continuity (STC) module for video semantic segmentation. Particularly, the architecture includes an encoding network, an STC module, and a decoding network. The encoding network is used to extract a high-level feature map. The STC module then uses the high-level feature map as input to extract the STC feature map. For decoding, they use four dilated convolutional layers to obtain more abstract representation and a deconvolutional layer to increase the size of the representation. Finally, they fuse the current feature representation and the previous feature representation and get the class probabilities. Thus, this architecture receives a sequence of consecutive video frames and outputs the segmentation result of the current frame. They extensively evaluate the proposed approach on the CamVid and KITTI datasets. Compared with other methods, the authors’ approach not only achieves competitive performance but also has lower complexity.
Perbandingan Algoritma A* dan Dijsktra dalam Pencarian Kecamatan dan Kelurahan di Bandar Lampung

Jumlah kecamatan dan kelurahan yang ada di Kota Bandar Lampung adalah 20 Kecamatan dan 126 Kelurahan. Teknologi Sistem Informasi Geografis (SIG) telah berkembang pesat. SIG dibuat dengan menggunakan informasi yang berasal dari pengolahan sejumlah data, yaitu data geografis. Tujuan dari penelitian ini adalah mengembangkan SIG untuk mencari rute terpendek kecamatan dan kelurahan di Kota Bandar Lampung dengan menggunakan algoritma A* dan Dijkstra serta melakukan analisis perbandingan dari kedua algoritma tersebut. Hasil penelitian menunjukkan bahwa antara Algoritma A* dan Dijkstra menghasilkan jarak yang sama pada saat pengujian. Namun terdapat perbedaan waktu proses pencarian rute terpendek. Pada jarak 2 km, algoritma A* lebih cepat dibandingkan dengan algoritma Dijkstra dengan waktu rata-rata yang dibutuhkan selama 159 ms dan 369 ms secara berturut-turut.
Stability of spatial patterns in water chemistry across temperate ecoregions

Human activity has polluted freshwater ecosystems across the planet, harming biodiversity, human health, and the economy. Improving water quality depends on identifying pollutant sources in river networks, but pollutant concentrations fluctuate in time. Continuous monitoring of many points in river networks is expensive, impeding progress in developing countries where water quality is degrading fastest. In this study, we analyzed 4523 water chemistry time series of ten parameters ( NO 3 − , PO 4 3 − , TP, DOC, SO 4 2 − , Cl−, Na+, Ca2+, Mg2+, K+) across four temperate ecoregions in France (ca. 560 000 km2). We quantified the spatial stability of water chemistry across the monitoring stations using rank correlations between instantaneous concentrations and water quality metrics derived from 6-year time series (2010–2015). The strength of this rank correlation represents how well a water quality evaluation metric can be characterized with a single sampling for a given water quality parameter. Results show that a single sampling captured a mean of 88% of the spatial variability of these parameters, across ecoregions with different climate and land-use conditions. The spatial stability resulted both from high spatial variability among sites and high temporal synchrony among time series. These findings demonstrate that infrequent but spatially dense water sampling can achieve two of the major goals of water quality monitoring: identify pollutant sources and inform ideal locations for conservation and restoration interventions.
A Fully Integrated LDO With 50-mV Dropout for Power Efficiency Optimization

This brief presents, a fully integrated low-dropout regulator (LDO) with 50-mV dropout voltage for high power efficiency, with a LDO-self-supplied differential error amplifier (EA) for higher power supply rejection (PSR), and a coupled transient enhancement unit for fast transient response. With 50-mV dropout voltage, the LDO can achieve 94.4% power efficiency in the full load condition. The LDO is fabricated in a standard 28-nm bulk CMOS process with 0.0086-mm2 active area. It features a 288-MHz unity-gain bandwidth (UGB) at 20-mA load current, while consuming a quiescent current of 33 ${\mu }\text{A}$ . With such high bandwidth and the coupled transient enhancement unit, the proposed LDO achieves 270-ps response time for a 0-to-20-mA load transient with 100-ps edge time. The self-supplied EA helps to achieve a PSR of −30 dB even with only 50-mV dropout. The ultra-fast response, small area, and high efficiency features make the proposed LDO very suitable for working as distributed point-of-load regulators in a digital system.
Volatile Profiling and Essential Oil Yield of Cymbopogon citratus (DC.) Stapf Treated with Rhizosphere Fungi and Some Important Fertilizers

Abstract Sustainable improvement in the yield of aromatic plants for essential oil production is the need of time. For this many technologies are employed today by the farmers. However use of rhizosphere fungi seems to be highly economical, user friendly and sustainable, hence this approach is considered in the present investigation. For present study lemon grass seedlings were raised in plastic pots containing soil inoculated with rhizosphere fungi. The effect of rhizosphere fungi on essential oil content revealed that there was enhancement in the range of 0.1 to 0.8 per cent. The variation was differing from species to species but highest was in Trichoderma viride and lowest in Aspergillus terreus. The treatment of different fertilizers showed significant effect on quantitative expression of essential oil composition of Cymbopogon citratus. The results showed maximum contents of citral a, citral b and Linalool in the treatment of T. viride. Maximum geraniol and geranyl acetate content was recorded in A. niger treated plant. The present study confirmed that T. viride is more efficient than the other rhizosphere fungi in enhancing oil, citral a, citral b and linalool content in C. citratus which may be exploited on commercial level.
Rapid Somatic Embryogenesis of Citrus reticulata Blanco cv. Madu in an Air-Lift Bioreactor Culture

Embryogenic cell (EC) growth and proliferation as well as somatic embryo induction were examined in a bioreactor culture using Murashige and Skoog basal medium particularly for the influence of 6-benzyladenine (BA) concentration, initial cell density and aeration rate. Embryogenic callus was induced from seeds of Citrus reticulata Blanco cv. Madu. The cell suspension in a 3-L bioreactor exhibited maximum cell growth following the addition of 1.5 mg/l of BA. The fresh weight (FW) of the cells after 28 days of growth was found to increase from an initial of 5.5 g cell culture to 57.3 g, a 10.4-fold increase and the maximum growth rate (GR) of the cells (0.33 g/day) was attained by the 7 th day of culture. In the cell density experiment, ECs at a concentration of 5.5 g/l constituted the most effective inoculum, reaching the highest GR of ECs (0.52 g/day), again by the 7 th day of culture. In the aeration experiment, the highest EC GR of 2.6 g/daywas obtained at the maximum aeration rate of 1.5 vvm (air volume medium/ volume/min). After 28 days of somatic embryogenesis, 79% of ECs became somatic embryos, of which 29% were at cotyledonary stage.
A Facile Way To Improve Pt Atom Efficiency for CO Oxidation at Low Temperature: Modification by Transition Metal Oxides

It is very challenging to improve the catalytic activity of Pt-based catalysts since the strong CO chemisorption on Pt inhibits oxygen activation leading to poor activity at low temperature. Here, we report that introducing MOx (M = Fe, Co, Ni) to modify Pt catalysts (0.5 wt % Pt/CeO2) is a facile way to improve catalytic activity for CO oxidation at ambient temperature. The chemical state of Pt and the reducibility of doped MOx dominate the activity for CO oxidation. The electron-deficient Pt due to the strong interaction between Pt and MOx leads to the weaker CO adsorption strength. Meanwhile, the higher reducibility of FeOx and CoOx extends the reaction routine due to the improved activity of oxygen with the help of the redox cycle between FeOx/CoOx and CeO2. However, the stability of catalyst depends on the ability to recover consumed oxygen, and the reversible compensation of consumed oxygen species makes CoOx/Pt/CeO2 and NiOx/Pt/CeO2 remain stable with time on stream. Our study shows that CoOx is a .
Detection and classification of P waves using Gabor wavelets

The wavelet transform of an ECG with a complex Gabor filter can be changed to two representations where the real and imaginary part are combined in a nonlinear way to an energy signal and a phase signal. The energy signal is used to detect and localize P waves, whereas the phase signal is used to classify the P waves as monophasic, M-shaped or biphasic. <<ETX>>
Import and Export Price Equations for Manufactures

This paper presents a new system for the consistent determination of import and export prices of manufactured products for use in the world trade block of the OECD INTERLINK model. It uses a system design which directly couples the bilateral determinants of export prices with the bilateral determinants of import prices. The results, however, will be obtained without the need for specific bilateral information other than the bilateral exchange rate. The model allows for price discrimination between different markets for the same exporter and features less than full pass-through of exchange rate movements into import prices . Cet article presente un nouveau systeme coherent de determination de prix a l'importation et a l'exportation de produits manufactures pour le bloc du commerce exterieur du modele mondial INTERLINK de l'OCDE. Dans sa conception, ce systeme met en relation directe les determinants bilateraux des prix a l'importation et a l'exportation. Les resultats sont cependant obtenus sans que des donnees bilaterales autres que celles relatives aux taux de change ne soient necessaires. Le modele fait, pour chaque exportateur, une discrimination selon les differents marches et est caracterise par une reaction non totale des prix a l'importation aux variations de taux de change .
Quasi Semi-Border Singularities

We obtain a list of simple classes of singularities of function germs with respect to the quasi m-boundary equivalence relation, with m ≥ 2 . The results obtained in this paper are a natural extension of Zakalyukin’s work on the new non-standard equivalent relation. In spite of the rather artificial nature of the definitions, the quasi relations have very natural applications in symplectic geometry. In particular, they are used to classify singularities of Lagrangian projections equipped with a submanifold. The main method that is used in the classification is the standard Moser’s homotopy technique. In addition, we adopt the version of Arnold’s spectral sequence method, which is described in Lemma 2. Our main results are Theorem 4 on the classification of simple quasi classes, and Theorem 5 on the classification of Lagrangian submanifolds with smooth varieties. The brief description of the main results is given in the next section.
Maintaining Strong Consistency Semantics in a Horizontally Scalable and Highly Available Implementation of HDFS

The Hadoop Distributed Filesystem (HDFS) is the storage layer of Hadoop, scaling to support tens of petabytes of data at companies such as Facebook and Yahoo. One wellknown limitation of HDFS is that its metadata has been stored inmemory on a single node, called the NameNode. To overcome NameNode’s limitations, a distributed file system concept based on HDFS, called KTHFS, was proposed in which NameNode’s metadata are stored on an inmemory replicated distributed database, MySQL Cluster.In this thesis, we show how to store the metadata of HDFS NameNode in an external distributed database while maintaining strong consistency semantics of HDFS for both filesystem operations and primitive HDFS operations. Our implementation supports MySQL Cluster, to store the metadata, although it only supports a readcommitted transaction isolation model. As a readcommitted isolation model cannot guarantee strong consistency, we needed to carefully design how metadata is read and written in MySQL Cluster to ensure our system preserves HDFS’s consistency model and is both deadlock free and highly performant. We developed a transaction model based on taking metadata snapshotting and the careful ordering of database operations. Our model is general enough to support any database providing at least readcommitted isolation level. We evaluate our model and show how HDFS can scale, while maintaining strong consistency, to terabytes of metadata.
Chromatinization of Escherichia coli with archaeal histones

Nucleosomes restrict DNA accessibility throughout eukaryotic genomes, with repercussions for replication, transcription, and other DNA-templated processes. How this globally restrictive organization emerged from a presumably more open ancestral state remains poorly understood. Here, to better understand the challenges associated with establishing globally restrictive chromatin, we express histones in a naïve bacterial system that has not evolved to deal with nucleosomal structures: Escherichia coli. We find that histone proteins from the archaeon Methanothermus fervidus assemble on the E. coli chromosome in vivo and protect DNA from micrococcal nuclease digestion, allowing us to map binding footprints genome-wide. We provide evidence that nucleosome occupancy along the E. coli genome tracks intrinsic sequence preferences but is disturbed by ongoing transcription and replication. Notably, we show that higher nucleosome occupancy at promoters and across gene bodies is associated with lower transcript levels, consistent with local repressive effects. Surprisingly, however, this sudden enforced chromatinization has only mild repercussions for growth, suggesting that histones can become established as ubiquitous chromatin proteins without interfering critically with key DNA-templated processes. Our results have implications for the evolvability of transcriptional ground states and highlight chromatinization by archaeal histones as a potential avenue for controlling genome accessibility in synthetic prokaryotic systems.