Miracle-dz/UniFAR-FTUs huggingface dataset:
Growing media in organic seedling production

Sebze fideleri ozellesmis ticari fideliklerde uretilmektedir. Torf, fide uretiminde en yaygin kullanilan yetistirme ortamidir. Organik tarimda, 834/2007 sayili AB yonetmeligine gore organik tohum ve bitki materyali kullanilmalidir. Ancak, torfun sinirli bir dogal kaynak olmasi ve organik tarimin surdurulebilirligi yaklasimi nedeni ile kullanimina dair kisitlama tavsiyesi olmasina ragmen, yonetmelikte torfun yetistirme ortami olarak kullanilmasina iliskin herhangi bir kisitlama yoktur. Aslinda, Isvicre Organik Tarim Ureticileri Federasyonu Standartlari, bitkisel uretim materyallerinin uretiminde %70'den fazla olmayacak sekilde torfun kullaniminin sinirlandirilmasini onermektedir. Bu nedenle, son yirmi yildir farkli yan urunlerin veya kompostun tek basina ya da torf ile karisimi seklinde kullanimi uzerine pekcok arastirma yapilmistir. Hazirlanan bu derleme, organik fide uretiminde torf alternatiflerini ve bunlarin farkli sebze turleri uzerindeki etkilerini ortaya koyan arastirmalari bir araya getirmeyi amaclamistir.
Insulin like growth factors and growth hormone deficiency.

Insulin-like growth factors (IGFs) are polypeptides that act as endocrine mediators of growth hormone (GH)-induced actions. They also function in a paracrine and autocrine manner to regulate cell growth differentiation apoptosis and transformation. The IGF system is a complex network comprised of two growth factors (IGF-I and -II) cell surface receptors (IGF-IR and -IIR) high affinity binding proteins (IGFBP) IGFBP proteases as well as several other IGFBP-interacting molecules which regulate and propagate IGF actions in several tissues. The clinical use of measurements of IGF-I has been focused primarily on diagnosing or excluding GH deficiency (GHD) and monitoring GH therapy. IGF-I and IGF-BP3 are being widely used for evaluation of the diagnosis of GHD. Owing to the limitations of GH stimulation tests there has been a gradual shift from GH-based approaches to those utilizing IGF for the diagnosis of GHD. However the use of IGF-l or IGF-BP3 in the diagnosis of GHD in children is a matter of controversy because of variable sensitivity and specificity of these tests. (excerpt)
The Angular Two-Point Correlation Function for the FIRST Radio Survey

The FIRST (Faint Images of the Radio Sky at Twenty centimeters) survey now covers 1550 deg2 of sky, where 07h16 ≲ α≲ 17h40 and 28°. 3 ≲ δ ≲ 42°. This yields a catalog of 138,665 sources above the survey threshold of 1 mJy, about one-third of which are in double-lobed and multicomponent sources. We have used these data to obtain the first high-significance measurement of the two-point angular correlation for a deep radio sample. We find that the correlation function between 0. °02 and 2° is well fitted by a power law of the form Aθγ, where A ≈ 3 × 10–3 and γ ≈ -1.1. On small scales (θ < 0.°2), double and multicomponent sources are shown to have a larger clustering amplitude than that of the whole sample. Sources with flux densities below 2 mJy are found to have a shallower slope than that obtained for the whole sample, consistent with there being a significant contribution from starbursting galaxies at these faint fluxes. The cross-correlation of radio sources and Abell clusters is determined. A preliminary approach to inferring spatial information is outlined.
Random generation of embedded graphs and an extension to Dobrushin uniqueness (extended abstract)

We design a generation algorithm for a problem which a&es in computational chemistry: the random generation of models of amorphous strutures. Such structures can be modeled as graphs which see embedded in d-space. The algorithm uses the well known approach of simulating a rapidly-mixing Markov chain. Gur analysis of the Mixing rate is based on Dobrushin uniqueness. The structure of the problem forces us to extend the basic method and find an alternative to Dobrushin’s condition which is more appropriate for our problem. This extension appears to be of more general interest.
Improved RFID Authentication Protocol Based on Randomized McEliece Cryptosystem

Among the embedded systems which were quickly developed during the last years and that were used in various domains (e.g. access control, health, .) we can cite radio frequency identification (RFID). In this paper, we propose an improved mutual authentication protocol in RFID systems based on the randomized McEliece cryptosystem. The McEliece cryptosystem is not only very fast, but it is resistant to quantum computing and it does not require any crypto-processor. Our work includes a comparison between the improved protocol and dierent existing protocols based on error-correcting codes in terms of security and performance. Security and privacy properties are proved, and the performance of the proposed authentication protocol is analysed in terms of storage requirement, communication cost and computational cost.
Pilot optimization and channel estimation for multiuser massive MIMO systems

This paper proposes novel pilot optimization and channel estimation algorithm for the downlink multiuser massive multiple input multiple output (MIMO) system with K decentralized single antenna mobile stations (MSs), and time division duplex (TDD) channel estimation which is performed by utilizing N pilot symbols. The proposed algorithm is explained as follows. First, we formulate the channel estimation problem as a weighted sum mean square error (WSMSE) minimization problem containing pilot symbols and introduced variables. Second, for fixed pilot symbols, the introduced variables are optimized using minimum mean square error (MMSE) and generalized Rayleigh quotient methods. Finally, for N = 1 and N = K settings, the pilot symbols of all MSs are optimized using semi definite programming (SDP) convex optimization approach, and for the other settings of N and K, the pilot symbols of all MSs are optimized by applying simple iterative algorithm. When N = K, it is shown that the latter iterative algorithm gives the optimal pilot symbols achieved by the SDP method. Simulation results confirm that the proposed algorithm achieves less WSMSE compared to that of the conventional semi-orthogonal pilot symbol and MMSE channel estimation algorithm which creates pilot contamination.
Variable‐Color Light‐Emitting Diodes Using GaN Microdonut arrays

Microdonut-shaped GaN/Inx Ga1-x N light-emitting diode (LED) microarrays are fabricated for variable-color emitters. The figure shows clearly donut-shaped light emission from all the individual microdonut LEDs. Furthermore, microdonut LEDs exhibit spatially-resolved blue and green EL colors, which can be tuned by either controlling the external bias voltage or changing the size of the microdonut LED.
The fusion of large scale classified side-scan sonar image mosaics

This paper presents a unified framework for the creation of classified maps of the seafloor from sonar imagery. Significant challenges in photometric correction, classification, navigation and registration, and image fusion are addressed. The techniques described are directly applicable to a range of remote sensing problems. Recent advances in side-scan data correction are incorporated to compensate for the sonar beam pattern and motion of the acquisition platform. The corrected images are segmented using pixel-based textural features and standard classifiers. In parallel, the navigation of the sonar device is processed using Kalman filtering techniques. A simultaneous localization and mapping framework is adopted to improve the navigation accuracy and produce georeferenced mosaics of the segmented side-scan data. These are fused within a Markovian framework and two fusion models are presented. The first uses a voting scheme regularized by an isotropic Markov random field and is applicable when the reliability of each information source is unknown. The Markov model is also used to inpaint regions where no final classification decision can be reached using pixel level fusion. The second model formally introduces the reliability of each information source into a probabilistic model. Evaluation of the two models using both synthetic images and real data from a large scale survey shows significant quantitative and qualitative improvement using the fusion approach.
cite2vec: Citation-Driven Document Exploration via Word Embeddings

Effectively exploring and browsing document collections is a fundamental problem in visualization. Traditionally, document visualization is based on a data model that represents each document as the set of its comprised words, effectively characterizing what the document is. In this paper we take an alternative perspective: motivated by the manner in which users search documents in the research process, we aim to visualize documents via their usage, or how documents tend to be used. We present a new visualization scheme - cite2vec - that allows the user to dynamically explore and browse documents via how other documents use them, information that we capture through citation contexts in a document collection. Starting from a usage-oriented word-document 2D projection, the user can dynamically steer document projections by prescribing semantic concepts, both in the form of phrase/document compositions and document:phrase analogies, enabling the exploration and comparison of documents by their use. The user interactions are enabled by a joint representation of words and documents in a common high-dimensional embedding space where user-specified concepts correspond to linear operations of word and document vectors. Our case studies, centered around a large document corpus of computer vision research papers, highlight the potential for usage-based document visualization.
Power enhancement of microwave oscillator using a high-Q spiral-shaped DGS resonator

In this paper, a microwave oscillator using a high-Q spiral-shaped defected ground structure (DGS) resonator is proposed. The DGS resonator can be modeled by using the parallel LRC circuit of the transmission line to reject the RF signal at the resonant frequency. The high Q-factor of the spiral-shaped DGS provides high carrier output power and low phase noise. The output power is obtained as 14.2 dBm at 2.438 GHz with 2.0 V DC supply and 24 mA current consumption. It can be seen that the Q- factor of spiral-shaped DGS is 14, the phase noise is observed about -120 dBc/Hz at the 1 MHz offset and DC to RF conversion ratio is calculated 52.8%. The microwave oscillator using a DGS is fabricated on RT Duroid substrate using ATF13786 GaAs MESFET. A considerable enhanced output power was produced using the spiral-shaped DGS developed here.
Coordinated relay beamforming for amplify-and-forward two-hop interference networks

Relaying is a promising technique to extend coverage and improve throughput in wireless networks, but its performance is degraded in the presence of co-channel interference. In this paper, we consider coordinated relay beamforming to suppress interference and improve the date rates of two-hop interference networks. We first propose optimal coordinated relay beamforming algorithms to characterize the achievable rate region and maximize the sum-rate. By imposing a constraint on the desired signals, a low-complexity iterative algorithm is then proposed to maximize the sum-rate. Through performance comparison, we show that the proposed relaying strategy provides a promising tradeoff between complexity and performance. To further reduce design complexity, we propose a new interference management scheme, interference neutralization, to cancel the interferences over the air at the second hop. We show that this scheme yields a closed-form solution for the beamforming design and provides good performance especially at high signal-to-noise ratio (SNR).
When Arousal Influences Ad Evaluation and Valence Does Not (and Vice Versa)

This research examines, across 2 studies, the interplay between the valence and arousal components of affective states and the affective tone of a target ad. In the first study, music was used to induce a pleasant or unpleasant mood, while controlling for arousal. Participants were subsequently exposed to an ad that either had a positive-affective tone or was ambiguous in its affective tone. As predicted, the valence of the affective state colored the evaluation of the ad in a mood-congruent direction, but this coloring effect occurred only when the ad had an ambiguous-affective tone. In the second study, the target ad had a clear positive or negative affective tone, and the valence and arousal dimensions of the mood state were manipulated independently. As predicted, the arousal dimension, but not the valence dimension, influenced ad evaluation. Ad evaluations were more polarized in the direction of the ad's affective tone under high arousal than under low arousal. This effect was more pronounced for self-referent evaluations (e.g., “I like the ad”) than for object-referent evaluations (e.g., “The ad is good”), favoring an attributional explanation—the excitation transfer hypothesis—over an attention-narrowing explanation—the dynamic complexity hypothesis. Taken together, the results of the 2 studies stress the important contingency of the affective tone of the ad, when examining the effects of the valence and arousal dimensions of a person's affective state on ad evaluation. The results also provide additional insights into how and when affect serves as information in judgment processes.
D=4 chiral string compactifications from intersecting branes

Intersecting Dp-branes often give rise to chiral fermions living on their intersections. We study the construction of four-dimensional chiral gauge theories by considering configurations of type II D(3+n)-branes wrapped on nontrivial n-cycles on T2n×(R2(3−n)/ZN), for n=1, 2, 3. The gauge theories on the four noncompact dimensions of the brane world-volume are generically chiral and nonsupersymmetric. We analyze consistency conditions (RR tadpole cancellation) for these models, and their relation to four-dimensional anomaly cancellation. Cancellation of U(1) gauge anomalies involves a Green–Schwarz mechanism mediated by RR partners of untwisted and/or twisted moduli. This class of models is of potential phenomenological interest, and we construct explicit examples of SU(3)×SU(2)×U(1) three-generation models. The models are nonsupersymmetric, but the string scale may be lowered close to the weak scale so that the standard hierarchy problem is avoided. We also comment on the presence of scalar tachyons and p.
Concepts extraction from unstructured Polish texts: A rule based approach

We present recently developed solution allowing extraction of concepts from unstructured Polish texts with special focus on correct morphological forms of obtained concept names. As Polish is a highly inflected language, detected names need to be transformed following Polish grammar rules. We propose a user-friendly method for specification of transformation patterns, which is based on a simple annotations language. Annotations prepared by a user are compiled into transformation rules. During the concept extraction process the input document is split into sentences and the rules are applied to sequences of words comprised in sentences. Recognized strings forming concept names are aggregated at various levels and assigned with scores. We report also results of initial experiments performed on a medical text.
Cophylogeny Reconstruction via an Approximate Bayesian Computation

Despite an increasingly vast literature on cophylogenetic reconstructions for studying host–parasite associations, understanding the common evolutionary history of such systems remains a problem that is far from being solved. Most algorithms for host–parasite reconciliation use an event-based model, where the events include in general (a subset of) cospeciation, duplication, loss, and host switch. All known parsimonious event-based methods then assign a cost to each type of event in order to find a reconstruction of minimum cost. The main problem with this approach is that the cost of the events strongly influences the reconciliation obtained. Some earlier approaches attempt to avoid this problem by finding a Pareto set of solutions and hence by considering event costs under some minimization constraints. To deal with this problem, we developed an algorithm, called Coala, for estimating the frequency of the events based on an approximate Bayesian computation approach. The benefits of this method are 2-fold: (i) it provides more confidence in the set of costs to be used in a reconciliation, and (ii) it allows estimation of the frequency of the events in cases where the data set consists of trees with a large number of taxa. We evaluate our method on simulated and on biological data sets. We show that in both cases, for the same pair of host and parasite trees, different sets of frequencies for the events lead to equally probable solutions. Moreover, often these solutions differ greatly in terms of the number of inferred events. It appears crucial to take this into account before attempting any further biological interpretation of such reconciliations. More generally, we also show that the set of frequencies can vary widely depending on the input host and parasite trees. Indiscriminately applying a standard vector of costs may thus not be a good strategy.
Estimating campaign benefits and modeling lift

In assessing the potential of data mining based marketing campaigns one needs to estimate the payoff of applying modeling to the problem of predicting behavior of some target population (e.g. attriters, people likely to buy product X, people likely to default on a loan, etc). This assessment has two components: a) the financial estimate of the campaign profitability, based on cost/benefit analysis and b) estimation of model accuracy in the targeted population using measures such as lift. We present a methodology for initial cost/benefit analysis and present surprising empirical results, based on actual business data from several domains, on achievable model accuracy. We conjecture that lift at T (where T is the target frequency) is usually about sqrt(1/T ) for a good model. We also present formulae for estimating the entire lift curve and estimating expected profits.
Treatment of lung cancer using volumetric modulated arc therapy and image guidance: A case study

Background. Volumetric modulated arc therapy (VMAT) is a radiotherapy technique in which the gantry rotates while the beam is on. Gantry speed, multileaf collimator (MLC) leaf position and dose rate vary continuously during the irradiation. For optimum results, this type of treatment should be subject to image guidance. The application of VMAT and image guidance to the treatment of a lung cancer patient is described. Material and methods. In-house software AutoBeam was developed to facilitate treatment planning for VMAT beams. The algorithm consisted of a fluence optimisation using the iterative least-squares technique, a segmentation and then a direct-aperture optimisation. A dose of 50 Gy in 25 fractions was planned, using a single arc with 35 control points at 10° intervals. The resulting plan was transferred to a commercial treatment planning system for final calculation. The plan was verified using a 0.6cm3 ionisation chamber and film in a rectangular phantom. The patient was treated supine on a customised lung board and imaged daily with cone-beam CT for the first three days then weekly thereafter. Results. The VMAT plan provided slightly improved coverage of the planning target volume (PTV) and slightly lower volume of lung irradiated to 20 Gy (V20) than a three-field conformal plan (PTV minimum dose 85.0 Gy vs. 81.8 Gy and lung V20 31.5% vs. 34.8%). The difference between the measured and planned dose was −1.1% (measured dose lower) and 97.6% of the film passed a gamma test of 3% and 3mm. The VMAT treatment required 90s for delivery of a single fraction of 2 Gy instead of 180s total treatment time for the conformal plan. Conclusion. VMAT provides a quality dose distribution with a short treatment time as shown in an example of a lung tumour. The technique should allow for more efficient delivery of high dose treatments, such as used for hypofractionated radiotherapy of small volume lung tumours, and the technique may also be used in conjunction with Active Breathing Control, where fewer breath holds will be required.
A simple braking model for detecting incidents locations by smartphones

Recently, there have been strong demand and interest for developing methods to analyze driving data for extracting traffic safety information. In automobile research field, several methods for detecting sudden braking have been proposed; however, these methods cannot answer the question what is the causes of such sudden braking events. In previous research, we have proposed a method to estimate incidents locations which interfered with smooth driving by using smartphone, but the method just works for the cases of vehicle stop. In this paper, we propose a new braking model which can estimate incidents locations caused sudden braking for both cases of vehicle stop and non-stop. We take real world experiments in order to validate the incidents map result. The result shows that based on the proposed method, incidents map is accurately achieved.
PTS 50: Past, Present and Future, or Diauxie Revisited

Past: The title ‘PTS 50 or The PTS after 50 years' relies on the first description in 1964 of the phosphoenolpyruvate-dependent carbohydrate:phosphotransferase system (PTS) by Kundig, Gosh and Roseman [Proc Natl Acad Sci USA 1964;52:1067-1074]. The system comprised proteins named Enzyme I, HPr and Enzymes II, as part of a novel PTS for carbohydrates in Gram-negative and Gram-positive bacteria, whose ‘biological significance remained unclear'. In contrast, studies which would eventually lead to the discovery of the central role of the PTS in bacterial metabolism had been published since before 1942. They are primarily linked to names like Epps and Gale, J. Monod, Cohn and Horibata, and B. Magasanik, and to phenomena like ‘glucose effects', ‘diauxie', ‘catabolite repression' and carbohydrate transport. Present: The pioneering work from Roseman's group initiated a flood of publications. The extraordinary progress from 1964 to this day in the qualitative and in vitro description of the genes and enzymes of the PTS, and of its multiple roles in global cellular control through ‘inducer exclusion', gene induction and ‘catabolite repression', in cellular growth, in cell differentiation and in chemotaxis, as well as the differences of its functions between Gram-positive and Gram-negative bacteria, was one theme of the meeting and will not be treated in detail here. Future: At the 1988 Paris meeting entitled ‘The PTS after 25 years', Saul Roseman predicted that ‘we must describe these interactions [of the PTS components] in a quantitative way [under] in vivo conditions'. I will present some results obtained by our group during recent years on the old phenomenon of diauxie by means of very fast and quantitative tests, measured in vivo, and obtained from cultures of isogenic mutant strains growing under chemostat conditions. The results begin to hint at the problems relating to future PTS research, but also to the ‘true science' of Roseman.
Input Parameterization of the HVS Semantic Parser

The aim of this paper is to present an extension of the hidden vector state semantic parser. First, we describe the statistical semantic parsing and its decomposition into the semantic and the lexical model. Subsequently, we present the original hidden vector state parser. Then, we modify its lexical model so that it supports the use of the input sequence of feature vectors instead of the sequence of words. We compose the feature vector from the automatically generated linguistic features (lemma form and morphological tag of the original word). We also examine the effect of including the original word into the feature vector. Finally, we evaluate the modified semantic parser on the Czech HumanHuman train timetable corpus. We found that the performance of the semantic parser improved significantly compared with the baseline hidden vector state parser.