Miracle-dz/UniFAR-FTUs huggingface dataset:
Utjecaj kalcizacije tla na mineralnu ishranu krumpira (Solanum tuberosum L.)

Acid soils represent one of the most limiting factors of agricultural production in the World. The basic strategy for mitigation negative effects of acid soils is lime aplication. The aim of this experiment was to determine the effect of soil liming on mineral composition of potato cv. Victoria. Experiment was set up as radomized complete block design. Treatments were represented as natural acid soil and soil limed with CaCO3. Plants were grown untill bloom. At the end of te experiment mineral composition (concentrations of N, P, K,Ca and Mg) of leaves was determined. Soil liming significantly increasedconcentrations of P, K, and Ca in the leaf dry matter (DM), while concentrations of N and Mg did not significantly differ between plants grown in acid and limed soil.
Fast 3-D Imaging Algorithm Based on Unitary Transformation and Real-Valued Sparse Representation for MIMO Array SAR

Multiple-input multiple-output (MIMO) array synthetic aperture radar (SAR) with array antennas distributed along the cross-track direction can obtain 3-D scene information of the surveillance region. However, the cross-track resolution is unacceptable due to the length limitation of the MIMO antenna array. The superresolution algorithms within the framework of compressive sensing (CS) have been introduced to recover the cross-track signal because of its inherent spatial sparsity. The existing sparse recovery algorithms for 3-D SAR are attempted to find the sparse solution in the complex domain directly, which requires a very high computational complexity. To overcome this problem, a new fast 3-D imaging algorithm based on real-valued sparse representation is proposed in this paper. In this new algorithm, unitary transformation can be employed to transform the sparse signal recovery model of uniform/nonuniform MIMO array SAR from the complex domain to the real domain. Thus, a real-valued reweighted $\ell _{2,1}$ -norm minimization model is established. In addition, a modification of the fast iterative shrinkage-thresholding algorithm (FISTA) is used to reconstruct the 3-D image for further improving the computational efficiency. Moreover, the theoretical analysis of computational complexity of the proposed algorithm is derived when compared with an existing complex domain algorithm. Finally, numerical simulations and MIMO array SAR real experimental results are illustrated to validate that the proposed algorithm can reduce the computational complexity significantly in terms of CPU time while still maintaining the inherent advantages of superresolution and robustness against the noise.
A hybrid spur compensation technique for finite-modulo fractional-N phase-locked loops

A finite-modulo fractional-N PLL utilizing a low-bit high-order DeltaSigma modulator is presented. A 4-bit 4th-order DeltaSigma modulator performs deterministic 16-modulo fractional-N operation with less spur generation and negligible quantization noise. Further spur reduction is achieved by charge compensation in the voltage domain and phase interpolation in the time domain, which significantly relaxes the dynamic range requirement of the charge pump compensation current. A 1.8 - 2.6 GHz fractional-N PLL is implemented in 0.18 mum CMOS. The prototype PLL consumes 35.3 mW in which only 2.7 mW is consumed by the digital modulator and compensation circuits.
A Novel Hybrid Excitation Flux Reversal Machine for Electric Vehicle Propulsion

A novel hybrid excitation flux reversal machine (HEFRM) is developed for application in electric vehicle propulsion. The proposed machine has a simple reluctance rotor and a stator with conventional ac armature windings and concentrated dc field windings. Besides, there are also permanent magnets (PMs) on the stator teeth. The PMs on each tooth have the same polarity, and the PMs on the adjacent two teeth have different polarities. In this paper, the feasible slot–pole combinations and equivalent circuits of the HEFRM are introduced, and the influences of several key design parameters such as rotor slot number, ratio of field winding to total winding, ferromagnetic pole arc, stator slot opening ratio, and rotor slot opening ratio on torque density and power factor are investigated by finite-element algorithm. Moreover, to verity the advantages of the hybrid excitation, the torque–speed envelop and power factor–speed envelop of the proposed HEFRM are compared to that of its solely PM excited counterpart. Finally, an HEFRM prototype is built and tested to validate the theoretical analysis.
Analysis of locking policies in database management systems

Quantitative analysis of locking mechanisms and of their impact on the performance of transactionnal systems have yet received relatively little attention. Although numerous concurrency mechanisms have been proposed and implemented, there is an obvious lack of experimental as well as analytical studies of their behaviour and their influence on system performance. We present in this paper an analytical framework for the performance analysis of locking mechanisms in transactionnal systems based on hierarchical analytical modelling. Three levels of modelling are considered: at level 1, the different stages (lock request, execution, blocking) transactions of through during their life-time are described; the organization and operations of the CPU and I/O resources are analysed at level 2; transaction's behaviour during their lock request phase is analysed at modelling level 3. This hierarchical approach is applied to the analysis of a physical locking scheme involving a static lock acquisition policy. A simple probabilistic model of the transaction behaviour is used to derived the probability that a new transaction is granted the locks it requests given the number of transactions already active as a function of the granularity of the database. On the other hand, the multiprogramming effect due to the sharing of CPU and I/O resources by transactions is analysed using the standard queueing network approaches and the solution package QNAP. In a final step, the results on the blocking probabilities and the multiprogrammin effect are used as input of a global performance model of the transactionnal system. Markovian analysis is used to solve this model and to obtain the throughput of the system as a function of the data base granularity and other parameters. The results obtained provide a clear understanding of the various factors which determine the global performance, of their role and improtance. They also raise many new issues which can only be solved by further extensive experimental and analytical studies and show that two particular topics deserve special attention: the modelling of transaction behaviour and the modelling of locking overheads.
Symposium on structural properties for determining mechanisms of toxic action. October 18-20, 1988, Duluth, Minnesota. Proceedings.

In a one-year follow-up study, 444 blood histamine determinations were performed in 163 patients with solid malignant tumours. Compared with normal subjects, blood histamine levels were significantly lower in patients with unresected primary tumours (30.7 + 19.9 ngml -), metastases (34.1 + 17.1 ngml -), or both (24.5+12.8ngml-1). By contrast, after successful tumour resection, histamine blood levels were nearly normal (52.1 + 18.4 ng ml -, versus 59.6 + 22.6 in control patients). Stability of the histamine blood levels was associated with stability of the disease. A progressive decrease in histamine blood levels preceded clinical relapse or detection of metastasis. In patients with consecutive histamine blood levels which were
Circulating Resonant Current Between Integrated Half-Bridge Modules With Capacitor for Inverter Circuit Using SiC-MOSFET

This paper proposes a method to suppress the resonant current circulating between integrated half-bridge modules with phase-leg capacitors in two legs. This circuit configuration has the advantage of low stray inductance between power semiconductor devices and dc-link capacitors (phase-leg capacitors). This paper presents an analysis of the equivalent circuit for the circuit configuration that suggests that the dc-link capacitor current will increase depending on the relationship between resonant and switching frequencies. The capacitor current was experimentally evaluated under pulse-width modulation operation at switching frequencies up to 100 kHz using SiC-mosfet s. As a result, the resonant current may occur in the dc side when the resonant frequency between phase legs was close to either the fundamental or the third harmonic of the switching frequency. In order to suppress the circulating resonant current, a graphite bus bar is applied to the phase-connecting bus bar. Using the graphite bus bar, the capacitor current can be reduced by 35% without any influence from the ac-side output current.
A Crowdsourcing Framework for Collecting Tabular Data

In crowdsourcing, human workers are employed to tackle problems that are traditionally difficult for computers (e.g., data cleaning, missing value filling, and sentiment analysis). In this paper, we study the effective use of crowdsourcing in filling missing values in a given relation (e.g., a table containing different attributes of celebrity stars, such as nationality and age). A task given to a worker typically consists of questions about the missing attribute values (e.g., What is the age of Jet Li? ). Although this problem has been studied before, existing work often treats related attributes independently, leading to suboptimal performance. In this paper, we present T-Crowd, which is a crowdsourcing system that considers attribute relationships. Particularly, T-Crowd integrates each worker's answers on different attributes to effectively learn his/her trustworthiness and the true data values. The attribute relationship information is used to guide task allocation to workers. Our solution seamlessly supports categorical and continuous attributes. Our extensive experiments on real and synthetic datasets show that T-Crowd outperforms state-of-the-art methods, improving the quality of truth inference and reducing the monetary cost of crowdsourcing.
Domestic cooking methods affect nutrient, phytochemicals, and flavor content in mushroom soup

Abstract The effects of different cooking methods, including autoclaving, microwaving, sous vide, and stewing, on the nutritional quality of mushroom (Hypsizygus marmoreus) soup were investigated. The results showed that all four cooking methods increased the polysaccharide, polyphenol, and amino acid levels compared to uncooked soup. Stewing increased protein content with the other cooking methods showing no change when compared with uncooked soup. Sous vide increased nucleotide content with the other methods decreasing nucleotide levels, and this method was also the best for increasing polyphenol and flavor compounds. Autoclaving generated the highest levels of polysaccharides. In summary, each method had a characteristic effect on mushroom soup properties, and cooking improved the nutritional value of mushrooms by the increase in releasing macro‐ and micronutrients.
A flexible procedure for formulating probability distributions on the unit interval with applications

Abstract In this paper, we present a flexible mechanism for constructing probability distributions on a bounded intervals which is based on the composition of the baseline cumulative probability function and the quantile transformation from another cumulative probability distribution. In particular, we are interested in the (0, 1) intervals. The composite quantile family of probability distributions contains many models that have been proposed in the recent literature and new probability distributions are introduced on the unit interval. The proposed methodology is illustrated with two examples to analyze a poverty dataset in Peru from the Bayesian paradigm and Likelihood points of view.
Stock liquidity, firm size and return persistence around mergers and acquisitions announcement

The paper examines market liquidity and size of 396 US firms engaged in mergers and acquisitions (M&amp;A). The announcement-period returns are estimated using Carhart’s four-factor model and estimated using two regression specifications. The results suggest that the return continuation depends on the degree of liquidity and the firm size. The positive and significant cumulative abnormal returns (CARs) under both the specifications with exception to the acquiring firms are found. Under the generalized autoregressive conditional heteroskedasticity (GARCH) model due to Glosten et al. (1993), hereafter, GJR-GARCH, the pre-event CARs are significant and persistent in contrast to the estimation based on the ordinary least squares (OLS) regression. This suggests possible leakage of information prior to an event announcement and further lends support to the contract theory of information asymmetry and signalling. It is also found that the target firms exhibit positive and significant post-event CARs for the mid-cap stocks. Whereas, for the acquirer firms, the post-event CARs for the small trading volume stocks are positive and significant. The results are robust to bootstrapping simulations.
Development of a 3D Printed Neuroanatomy Teaching Model

Gross anatomy has been seen as one of the basic bodies of knowledge that must be mastered as part of medical training. Likewise, neuroanatomy has been seen as foundational to clinical neurosciences. However, Neuroanatomy is different from gross anatomy and this is due to the complexity of the central nervous system, moreover, some of its structures cannot be dissected or demonstrated in anatomy cadaveric lab. The use of anatomical models in medical curricula has been reported as an effective way in teaching and learning anatomy. They have been used to replace cadaveric material when the latter is difficult to acquire, or when the anatomical structures cannot be dissected like the brain ventricles for instance, moreover they have the privilege of visualizing the structures in a 3 dimensional modality. The goal of this study was to create a 3 D printed neuroanatomy model in order to complement the University of Ottawa anatomy models’ library, and help medical students visualize the pathway of different nervous tracts on a 3 D simulation model.To assist with this, 2D images of slices of the cerebrum, brainstem, cervical, thoracic, and lumbar spinal cord were downloaded online to be imported to Adobe Photoshop CC 2015. The images were manually converted to black and white, and separated into different layers to export each components separately into Tinker CAD (online software). The different components were then assembled on Tinker CAD to create 3D printer compatible files. The files were printed using white ABS on a Replicator 2X MakerBot printer at the library of University of Ottawa.
An improved approximation algorithm for multiway cut

Given an undirected graph with edge costs and a subset of k nodes called terminals, a multiway cut is a subset of edges whose removal disconnects each terminal from the rest. Multiway Cut is the problem of finding a multiway cut of minimum cost. Previously, a very simple combinatorial algorithm due to Dahlhaus, Johnson, Papadimitriou, Seymour, and Yannakakis gave a performance guarantee of 2(1? 1k). In this paper, we present a new linear programming relaxation for Multiway Cut and a new approximation algorithm based on it. The algorithm breaks the threshold of 2 for approximating Multiway Cut, achieving a performance ratio of at most 1.5? 1k. This improves the previous result for every value of k. In particular, for k=3 we get a ratio of 76<43.
Germination Ecology of Milkweedvine (Morrenia odorata)

The germination of milkweedvine (Morrenia odorata Lindl. ♯3 MONOD) seed at 20 or 25 C was unaffected by a 12-h photoperiod. The 12-h photoperiod, however, decreased germination by 50% at 15 C. No germination occurred at 35 C regardless of photoperiod. By alternating 35 C for 12 h with 20 C for 12 h, the germination percentage was 57%. Seedling growth was maximum at alternating temperatures of 30/20 C. Optimum pH for germination and seedling growth was 7 and germination did not occur at pH levels below 6. Seed germination declined steadily at osmotic stress below −0.12 MPa; no germination occurred at −0.5 MPa. Seedling growth was not influenced by osmotic stress down to −0.18 MPa. Germination percentages of seeds kept under aerated water and nonaerated water were similar, but the seedling growth was greater in aerated water. Seedling emergence was maximum from depths of 0.5 to 2.5 cm, but no seedling emerged from 0 or 10 cm. Planting depth was negatively correlated (r = −0.7) with shoot growth but positively correlated (r = +0.98) to root growth.
TTIP: Mehr als Handelsliberalisierung

Seit uber einem Jahr verhandeln die EU und die USA uber das groste Freihandelsabkommen der Geschichte – die beiden Regionen stehen fur rund ein Drittel des Welthandels. Von der Transatlantischen Handels- und Investitionspartnerschaft (TTIP) wird die deutsche Wirtschaft aufgrund ihres hohen Offenheitsgrads erheblich profitieren. Fur die deutsche Exportindustrie sind die USA weltweit Exportziel Nummer zwei - rund 8 Prozent der deutschen Warenexporte werden fur den US-Markt hergestellt. Etwa 600.000 Arbeitsplatze hangen schatzungsweise direkt oder indirekt an den deutschen Warenexporten in die USA. Auf Bundeslandebene ergeben sich aber signifikante Unterschiede, sowohl hinsichtlich der Intensitat der Verflechtung mit den USA als auch hinsichtlich der Struktur der Exporte. Die geschatzten okonomi-schen Auswirkungen sind sowohl fur die Verbraucher als auch fur die Wirtschaft positiv. Sie ergeben sich aus einem Abbau der bereits recht niedrigen Zolle, was aber aufgrund des grosen Handelsvolumens allein fur den Industriewarenhandel Einsparungen von schatzungsweise 3,5 Milliarden Euro ermoglichen wird. Vor allem aber winken Wohlstandsgewinne durch die kostenreduzierende Verringerung von nicht-tarifaren Barrieren (Unterschiede bei Regulierungen, Produktstandards), die im EU-US-Handel durchschnittlich wie ein Zoll von etwa 20 Prozent wirken. [. ]
Feeling Stressed or Strained? A Biophysical Model for Cell Wall Mechanosensing in Plants

Mechanical signals have recently emerged as a major cue in plant morphogenesis, notably influencing cytoskeleton organization, gene expression, protein polarity, or cell division. Although many putative mechanosensing proteins have been identified, it is unclear what mechanical cue they might sense and how this would occur. Here we briefly explain the notions of mechanical stress and strain. We present the challenges to understand their sensing by plants, focusing on the cell wall and the plasma membrane, and we review putative mechanosensing structures. We propose minimal biophysical models of mechanosensing, revealing the modes of mechanosensing according to mechanosensor lifetime, threshold force for mechanosensor dissociation, and type of association between the mechanosensor and the cell wall, as the sensor may be associated to a major load-bearing structure such as cellulose or to a minor load-bearing structure such as pectins or the plasma membrane. Permanent strain, permanent expansion, and relatively slow variations thereof are sensed in all cases; variations of stress are sensed in all cases; permanent stress is sensed only in the following specific cases: sensors associated to minor load-bearing structures slowly relaxing in a growing wall, long-lived sensors with high dissociation force and associated to major-load-bearing structures, and sensors with low dissociation force associated to major-load-baring structures behaving elastically. We also find that all sensors respond to variations in the composition or the mechanical properties of the cell wall. The level of sensing is modulated by the properties of all of mechanosensor, cell wall components, and plasma membrane. Although our models are minimal and not fully realistic, our results yield a framework to start investigating the possible functions of putative mechanosensors.
Branched polyethylene glycol/polypropylene micro-nanofiber nonwovens for fast liquid planar transmission

The speed of liquid planar transmission plays a key role in engineering applications, including baby wipes, wound dressings, and liquid filtration. This article reported a novel branched nonwoven consisting of melt-blown polyethylene glycol/polypropylene micro- and nanofibers. The formation mechanism of branched structures as well as the liquid planar transmission properties of the prepared polyethylene glycol/polypropylene micro-nanofibrous nonwovens was discussed in detail. The results showed that the diameter of melt-blown fibers could be controlled by changing the percentage of polyethylene glycol (0–15 wt%) and die temperature (230°C–250°C). Furthermore, micro- and nanofibers, which had three types of size: >2 μm, 800 nm–2 μm, and <800 nm, formed a three-level branched network, which greatly improved the liquid planar transmission capacity. This work suggested that the branched micro/nanofiber nonwovens could be employed in a wide range of potential engineering applications.
Short Communication: Community structure of prawns (Decapoda: Penaeidae and Palaemonidae) in mangrove inlets of Kuala Langsa, Aceh, Indonesia

Abstract. Faisal TM, Akbar H, Putriningtias A, Putra SA. 2019. Short Communication: Community structure of prawns (Decapoda: Penaeidae and Palaemonidae) in mangrove inlets of Kuala Langsa, Aceh, Indonesia. Biodiversitas 20: 1306-1311. The aim of this research is to describe the structure of prawn community that found at mangrove inlets of Kuala Langsa (Aceh, Indonesia). The survey was done in August 2018. Sampling sites were defined as arbitrarily. Scope netting (mesh size 1 cm and diameter 100 cm) was used to sample the prawn community. Samples were analyzed and stored at The Primary Laboratory of Universitas Samudra, Kota Langsa, Aceh. Five species of prawns from two families (i.e., Decapoda: Penaeidae and Palaemonidae) were found, i.e., Penaeus monodon, Penaeus indicus, Metapenaeus monoceros, Penaeus vannamei, Palaemon sp. The most dominance species found is M. monoceros, and the most infrequently species found is Palaemon sp. Prawn community between sampling sites are found in a high level of similarity, with medium diversity and evenness index, and no dominance indicated.
A data‐driven support strategy for a sustainable research software repository

We describe a sustainable strategy to support a large number of researchers with widely varying scientific software needs, which is a common problem for most centralized Research Computing Centers on university campuses. Changes in systems and hardware, coupled with aging software, often necessitates re‐compilation of existing software. The naive approach of re‐compiling all of the existing packages is not only counterproductive but may also become unrealistic, especially for small support teams such as Georgia Tech's PACE Team. Instead, we analyze job scheduling data to identify actively used software, then rank, and distribute them in three support tiers, which define the level of support we provide. The distribution of software into multiple tiers is a non‐trivial problem. We use a heuristic ranking algorithm that uses four metrics, namely the number of users, groups, jobs, and their collective runtimes. The results revealed a surprisingly small subset of software that is sufficient to support a very large portion of the overall research computing activity on campus. This approach allows us to make data‐driven strategic technical and policy decisions to provide high‐quality support for the software that really matters and sustain these services with a relatively small team in the long term.