Miracle-dz/UniFAR-FTUs huggingface dataset:
18F autoradiography With the Mimosa-28: Characterization and Application

Autoradiography (AR) is a technique used to record the spatial distribution of a radiotracer into an ex-vivo tissue slice. Within the section, the radioactive molecules emit charged particles from specific binding sites. These particles pass through the tissue before being detected by a sensor. AR gives the distribution of a radioactive molecule with a spatial resolution of approximately one hundred microns. In this article, we investigated the feasibility of AR with a CMOS-APS sensor using radioactive isotope <sup>18</sup>F. This sensor works in digital mode by collecting charges. It presents a linear response with isotope <sup>18</sup>F for activity between 1 kBq and 1 MBq. The detection efficiency is 44,0 ± 0.5% for this range of activity with a spatial resolution of 144 ± 3 <inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> by using the absorber edge method. The Mimosa-28 sensor performs AR imaging with a rose leaf and a mouse brain section which has a thickness of <inline-formula> <tex-math notation="LaTeX">$50~\mu \text{m}$ </tex-math></inline-formula> and an activity of 4 kBq in the slice.
Improving Adversarial Neural Machine Translation for Morphologically Rich Language

Generative adversarial networks (GAN) have great successes on natural language processing (NLP) and neural machine translation (NMT). However, the existing discriminator in GAN for NMT only combines two words as one query to train the translation models, which restrict the discriminator to be more meaningful and fail to apply rich monolingual information. Recent studies only consider one single reference translation during model training, this limit the GAN model to learn sufficient information about the representation of source sentence. These situations are even worse when languages are morphologically rich. In this article, an extended version of GAN model for neural machine translation is proposed to optimize the performance of morphologically rich language translation. In particular, we use the morphological word embedding instead of word embedding as input in GAN model to enrich the representation of words and overcome the data sparsity problem during model training. Moreover, multiple references are integrated into discriminator to make the model consider more context information and adapt to the diversity of different languages. Experimental results on German<inline-formula><tex-math notation="LaTeX">$\leftrightarrow$</tex-math></inline-formula>English, French<inline-formula><tex-math notation="LaTeX">$\leftrightarrow$</tex-math></inline-formula>English, Czech<inline-formula><tex-math notation="LaTeX">$\leftrightarrow$</tex-math></inline-formula>English, Finnish<inline-formula><tex-math notation="LaTeX">$\leftrightarrow$</tex-math></inline-formula>English, Turkish<inline-formula><tex-math notation="LaTeX">$\leftrightarrow$</tex-math></inline-formula>English, Chinese<inline-formula><tex-math notation="LaTeX">$\leftrightarrow$</tex-math></inline-formula>English, Finnish<inline-formula><tex-math notation="LaTeX">$\leftrightarrow$</tex-math></inline-formula>Turkish and Turkish<inline-formula><tex-math notation="LaTeX">$\leftrightarrow$</tex-math></inline-formula>Czech translation tasks demonstrate that our method achieves significant improvements over baseline systems.
Changes in peritoneal myeloid populations and their proinflammatory cytokine expression during infection with Listeria monocytogenes are altered in the absence of γ/δ T cells

Evidence that γ/δ T cells play a broad, immunoregulatory role has been accumulating steadily. We show here that myeloid cells are disregulated after peritoneal infection with Listeria monocytogenes in mice lacking γ/δ T cells. Inflammatory populations of neutrophils and monocytes recruited to the site of infection remained longer. Intracellular cytokine analysis showed that frequencies of myeloid cells producing interleukin‐12 and tumor necrosis factor α were higher and remained elevated longer after infection in mice genetically deficient in γ/δ T cells. In vivo dye‐tracking studies indicated that the majority of inflammatory monocytes differentiated into resident tissue macrophages in situ. In vitro experiments confirmed that monocytes harvested from mice lacking γ/δ T cells were defective in their maturation process. This evidence suggests that γ/δ T cells promote differentiation in the monocyte/macrophage lineage. These cells are important for bactericidal activity, inflammatory cytokine production, clearance of inflammatory neutrophils, and ultimately, antigen presentation to T cells. Regulation of monocyte/macrophage differentiation may underlie a broad segment of the phenotypic alterations that have been reported in mice lacking γ/δ T cells.
Design and Analysis of Adaptive Graph-Based Cancelable Multi-Biometrics Approach

Multimodal biometric systems provide prospective advantages over traditional unimodal systems and are employed diversely for numerous applications. However, issues of data privacy and identity-theft emerges with the extensive use of these systems. To address these issues we propose a multimodal cancelable biometric system based on realtime Deep Feature Unification (DFU). For this, keys-based generic feature extraction is introduced to achieve revocability and dimensionality reduction. Non-invertibility is obtained through random projection of Key Deep features to Query Deep features. Proposed adaptive graph-based fusion process not only extracts complementary information across multiple modalities but also generates multimodal Unified template. The cross diffusion of normalized and optimal graphs ensure the unlinkability and robustness to dynamic environment. Proposed biometric system is assessed over benchmark datasets and shows promising performance against state-of-the-art methods. Average DI and EER achieved by proposed method are 10.35 and 0.12, respectively. Further, robustness against adversary attacks is demonstrated.
Flexible Spiking CPGs for Online Manipulation During Hexapod Walking

Neural signals for locomotion are influenced both by the neural network architecture and sensory inputs coordinating and adapting the gait to the environment. Adaptation relies on the ability to change amplitude, frequency, and phase of the signals within the sensorimotor loop in response to external stimuli. However, in order to experiment with closed-loop control, we first need a better understanding of the dynamics of the system and how adaptation works. Based on insights from biology, we developed a spiking neural network capable of continuously changing amplitude, frequency, and phase online. The resulting network is deployed on a hexapod robot in order to observe the walking behavior. The morphology and parameters of the network results in a tripod gait, demonstrating that a design without afferent feedback is sufficient to maintain a stable gait. This is comparable to results from biology showing that deafferented samples exhibit a tripod-like gait and adds to the evidence for a meaningful role of network topology in locomotion. Further, this work enables research into the role of sensory feedback and high-level control signals in the adaptation of gait types. A better understanding of the neural control of locomotion relates back to biology where it can provide evidence for theories that are currently not testable on live insects.
Combining search strategies to improve performance in the calibration of economic ABMs

Calibrating agent-based models (ABMs) in economics and ﬁnance typically involves a derivative-free search in a very large parameter space. In this work, we benchmark a number of search methods in the calibration of a well-known macroeconomic ABM on real data, and further assess the perfor- mance of ”mixed strategies” made by combining different methods. We ﬁnd that methods based on random-forest sur- rogates are particularly efﬁcient, and that combining search methods generally increases performance since the biases of any single method are mitigated. Moving from these observations, we propose a reinforcement learning (RL) scheme to automatically select and combine search methods on-the-ﬂy during a calibration run. The RL agent keeps exploiting a spe- ciﬁc method only as long as this keeps performing well, but explores new strategies when the speciﬁc method reaches a performance plateau. The resulting RL search scheme outperforms any other method or method combination tested, and does not rely on any prior information or trial and error procedure.
Detection of Salmonella spp. carriers using invA gene amplification in equine feces.

In questo studio sono state condotte delle indagini mediante PCR (polymerase chain reaction) e metodiche di isolamento convenzionali al fine di: 1) individuare il gene invA di Salmonella spp. in feci di cavalli e muli, 2) valutare la rapidita e la sensibilita di identificazione mediante test PCR rispetto all’esame colturale per un possibile utilizzo come metodica diagnostica convenzionale 3) stabilire la frequenza dello stato di portatore di Salmonella spp. in base al sesso, eta e specie negli equidi. Nel 2009, sono stati raccolti 100 campioni di feci da 76 cavalli (67 stalloni e 9 fattrici) e 24 muli (16 stalloni e 8 fattrici) provenienti da differenti distretti dell’Urmia, in Iran, nel nord-ovest della provincia dell’Azerbaijan. In base alle fasce di eta la frequenza di distribuzione, fino a 4, 6, 8, 10 e oltre 10 anni, e risultata rispettivamente pari a 7, 24, 37, 19 e 13 soggetti. I campioni di feci raccolti sono stati utilizzati per effettuare l’isolamento di Salmonella mediante tecniche colturali comunemente in uso. Le colonie sospette sono state identificate tramite test biochimici. I campioni sono stati sottoposti ad arricchimento in un apposito brodo prima di procedere all’estrazione del DNA ed alla amplificazione tramite PCR utilizzando primer specifici per il gene invA di Salmonella. I prodotti di PCR sono stati visualizzati mediante elettroforesi in gel di agarosio all’1,2%. Utilizzando le tecniche colturali tutti i campioni hanno dato esito negativo, mentre con la PCR la presenza del batterio e stata confermata in tre campioni di feci (3%), ottenute da cavalli stalloni di eta compresa fra 6 ed 8 anni. Questi risultati indicano che, rispetto alle altre tecniche attualmente in uso, la PCR rappresenta un metodo altamente sensibile e rapido per l’identificazione di Salmonella in campioni fecali di equidi.
Identification of resistance genes to barley covered smut and mapping of the Ruh1 gene using Ustilago hordei strains with defined avirulence genes

Abstract Covered smut of barley (Hordeum vulgare), caused by Ustilago hordei, is a seed-borne disease. To identify and map disease resistance genes, current Canadian barley cultivars, parents of six barley mapping populations, and four differentials namely ‘Hannchen’ (Ruh1), ‘Excelsior’ (Ruh2), ‘Plush’ (Ruh6), and ‘Odessa’ (universal susceptible), were evaluated. Six mated combinations of U. hordei sporidial lines harbouring known alleles of virulence (avr) and avirulence (Avr) genes were used in the evaluation. Most of the barley cultivars carried the Ruhl resistance gene, but some also had Ruh2 or Ruh6. Many cultivars showed resistance to a U. hordei sporidial mating of genotype (avr1/avr1 avr2/avr2 avr6/avr6), virulent on ‘Hannchen’, ‘Excelsior’, and ‘Plush’. The resistance indicated the presence of novel avirulence gene(s) corresponding to a postulated resistance gene(s) in these cultivars. Fifty-six doubled-haploid lines from the mapping population ‘Harrington’/TR306 were inoculated with a sporidial mating of genotype SMI (Avr1/Avr1 avr2/avr2 avr6/avr6), avirulent on ‘Hannchen’ (Ruhl) but virulent on ‘Excelsior’ (Ruh2) and ‘Plush’ (Ruh6). ‘Harrington’ (ruh1) was susceptible to this fungal genotype possessing Avrl and TR306 (Ruhl) was resistant. Based on field and greenhouse tests, barley lines segregated 27 resistant to 29 susceptible, which was not significantly different from a I: I ratio (X 2 = 0.07, P = 0.79); this indicated the presence of the single major resistance gene Ruhl in TR306. Ruhl mapped to the short arm of chromosome I (7H) between markers iPgd1A and BCD 129 on the ‘Harrington’/TR306 map.
Measurement-Based Optimal DER Dispatch With a Recursively Estimated Sensitivity Model

This paper presents a measurement-based method to determine distributed energy resource (DER) active- and reactive-power setpoints that minimize bus voltage deviations from prescribed reference values, bus active- and reactive-power deviations from desired setpoints, as well as cost of DER outputs. Central to the proposed method is the estimation of a linear sensitivity model from synchronized voltage and power-injection data collected from distribution-level phasor measurement units installed at only a subset of buses in the distribution system. As new measurements become available, the linear sensitivity model is updated via the recursive weighted partial least-squares estimation method. The estimated sensitivity model is then embedded as an equality constraint in a convex quadratic optimization problem, which can be solved via, e.g., the alternating direction method of multipliers. Numerical simulations involving the IEEE 33-bus distribution test system illustrate key benefits of the proposed method, including (i) eliminating the need for an accurate offline system model, (ii) adapting to online network-topology and operating-point changes, and (iii) being robust against delays potentially attributed to communication, computation, and actuation. Additional numerical simulations involving larger test systems demonstrate computational scalability.
Grouping of determinate local tomato varieties on the basis of cluster analysis

The purpose of this paper is to classify the genetic proximity of a collection of 49 local determinant tomato accessions based on 18 quantitative indicators evaluated. By hierarchical cluster analysis they are grouped into 5 clusters. The classifications will increase the objectivity in the evaluation of accessions and the opportunity for application of different directions in the selection of tomatoes.
The Influence of Tacit & Explicit Knowledge, Learning Organization, Service Innovation, Employee Performance, Towards Competitive Advantage: A Customer-Basedapproach During the Pandemic Covid-19 in Indonesia

"Knowledge is a power", as knowledge sharing become a fundamental power. Managing knowledge effectively and efficiently, will transformed the knowledge into tacit to explicit knowledge through socialization, externalization, and internalization. The knowledge has to managed to gain competitive advantage. An innovation strategy is needed to put the knowledge into the best practices, to access and disseminate the knowledge to boost the employee performance. In Indonesia, the telecommunications services provider companies are already implemented the knowledge management. Nowadays the rapid development of information and communication leads the telecommunications service industry to conduct their service innovation in communication and information in advanced. Moreover, fiercely competition urges the players to maintain their sustainability on delivers the best service innovation to the customers, especially during the emergence of situations of the of COVID-19 pandemic, when vulnerable and problematic panic consumers has become a regular basis to solved. Keywords: Tacit Knowledge, Explicit Knowledge, Service Innovation, Employee Performance, Competitive Advantage DOI: 10.7176/IKM/10-4-02 Publication date: May 31 st 2020
Status and Changes of Ohio River Fish Assemblages around William H. Zimmer Power Plant, Moscow, Ohio

ABSTRACT As a great river, the Ohio is an important natural resource. It is crucial that we understand the implications that human disturbances are having on the biological integrity of this ecosystem. By monitoring current conditions and the health of this ecosystem, we may be able to identify causes of degradation and potentially determine the stability of the ecosystem to human and natural alterations. In this study, we analyzed fish data collected in 1982–1986 and 2001–2005 to characterize the current fish assemblage around William H. Zimmer Power Plant, Moscow Ohio and investigate any long-term (past 20 years) and short-term (past 5 years) effects of disturbance in this area. During these two 5-year study periods, over 30,000 individuals were collected comprising 12 families and 60 species. We found that many metrics of the Ohio River Fish Index have improved over the past 20 years and the fish assemblages have remained stable over the past 5 years. Despite apparent stability, we found a decrease in invertivores and detritivores over the past 20 years and a declining trend in the Shannon-Weiner Diversity Index over the past five years. Data suggest a potential negative trend in the biological integrity of this area. The need for more data concerning the possible negative impacts of human disturbance on fish assemblages in this area of the river is apparent.
Molecules and Morphology are Concordant in Discriminating Among Populations of Cave Cockroaches in the Genus Paratemnopteryx Saussure (Blattodea: Blattellidae)

Abstract Past taxonomic studies of cockroaches in the genus Paratemnopteryx Saussure (Blattodea: Blattellidae) indicate the presence of different races of P. stonei Roth from cave populations in northeastern Australia. Morphometric analyses were carried out to investigate the morphological variation among individuals from four cave regions, including representatives of each of the races previously noted. Published canonical discriminant analyses, and additional cluster analyses, presented in this article, indicate morphological discontinuities among the populations. In addition, specimens collected from one region, although morphologically similar to P. stonei, are regarded as representing a new species of Paratemnopteryx. To investigate the utility of molecular data at the population and species level for this genus, we sequenced the second internal transcribed spacer (ITS2) region of nuclear ribosomal DNA. Sequences were obtained from 14 individual cockroaches used in the morphometric analyses. The size of the ITS2 gene region was 504–592 bp, with a mean G+C content of 52.3%. We found that the ITS2 data supported the existence of at least three races of P. stonei, and the new species of Paratemnopteryx. We concluded that the ITS2 region is useful for taxonomic discrimination at the population and species level within Paratemnopteryx, and can help throw light on the evolution of cave dwelling species.
Extreme Wages, Performance and Superstars in a Market for Footballers

We study the determinants of superstar wage effects, asking whether productivity or popularity-based explanations are more appropriate. We use longitudinal wage and performance data for workers (players) and firms (teams) from a particular market for sports talent: Major League Soccer (MLS) in the United States. We find evidence that the top earners, whose annual salaries are mostly not accounted for by their past MLS performances, when compared alongside other footballers, are paid more because they attract significantly higher stadium attendances and thus revenues. There is no evidence that higher residual salary spending by the teams affects their relative performance in football terms, or that the amounts the teams spend on actual talent affect attendances. Taken together, these results suggest that a popularity-based explanation of superstar wage effects is appropriate among the top earners in this labour market.
Allelopathic Potential of Wild Radish (Raphanus raphanistrum)1

The allelopathic potential of wild radish was evaluated in controlled environments by determining if an aqueous extract from oven-dried wild radish shoots suppressed germination and radicle growth of some crops and weeds common to the southeastern United States. In addition, phytotoxicity from topical applications of the aqueous extract was assessed, along with crop and weed suppression by soil incorporated, air-dried wild radish residues. Germination and radicle growth of all species were reduced by the extract compared with distilled water. However, topical applications of the aqueous extract failed to induce injury on any species by 7 d after treatment. Emergence and shoot fresh weight of the bioassay plants were reduced by wild radish residue incorporated into soil, with the level of suppression dependent on the quantity of residue incorporated. Sicklepod and prickly sida were extremely sensitive to incorporated wild radish residues, with > 95% fresh weight reduction at 0.5% (wt/wt) residue, compared with an untreated control. Conversely, yellow nutsedge showed a high degree of tolerance in all trials. Of the crops evaluated, cotton emergence and growth were most sensitive to incorporated wild radish residues. These data indicate that wild radish aqueous extract or incorporated residues (or both) suppress seed germination, radicle growth, seedling emergence, and seedling growth of certain crops and weeds and these responses are attributed to an allelochemical effect. Nomenclature: Prickly sida, Sida spinosa L. #3 SIDSP; sicklepod, Senna obtusifolia (L.) Irwin and Barneby # CASOB; wild radish, Raphanus raphanistrum L. # RAPRA; yellow nutsedge, Cyperus esculentus L. # CYPES; cotton, Gossypium hirsutum L. Additional index words: Allelopathy, Brassicaceae, cover crop, integrated weed management. Abbreviation: HAT, hours after treatment.
Surveys of diseases of winter wheat in England and Wales, 1976-1988.

Summary Samples from 300 – 400 randomly selected winter wheat crops were taken annually at growth stage 73 – 75 from 1976 to 1988 with the exception of 1983 and 1984. The number of samples from each region was proportional to the area of wheat grown in each region. The percentage of the area of the top two leaves affected by diseases, the severity of ear and stem base diseases and, in 6 years, the severity of take-all were recorded. Septoria tritici and Septoria nodorum were, on average, the most severe of the foliar diseases and eyespot (Pseudocercosporella herpotrichoides) was the most severe of the stem base diseases. Regional differences in levels of S. tritici, brown rust, sharp eyespot and nodal fusarium were significant. Cultivar resistance affected disease severity, and previous cropping patterns particularly affected take-all and eyespot. Eyespot and sharp eyespot were less severe in late- than in early-sown crops. The percentage of crops treated with a fungicidal spray increased from 14% in 1976 to over 90% between 1983 and 1985. Use of benzimidazole fungicides applied at growth stage 31 declined, while use of morpholines from flag leaf emergence onwards increased between 1985 and 1988.
Improved Sidelobe-Suppression Microstrip Patch Antenna Array by Uniform Feeding Networks

This article presents a design of a single-polarization, <inline-formula> <tex-math notation="LaTeX">$4\times 4$ </tex-math></inline-formula> microstrip patch antenna array, operating at the <inline-formula> <tex-math notation="LaTeX">$K_{a}$ </tex-math></inline-formula>-band. An integrated microstrip network with the aid of using feeding probes excites the antenna array. Simulation and measurement results show that the array operates in a wideband frequency range (return loss RL ≥ 15 dB) from 32 to 36.4 GHz with a low sidelobe level (SLL ≤ −15 dB). To obtain a wide bandwidth, each antenna is fed with a capacitive patch and enclosed by an integrated metallic cavity. Here, we show that an antenna array with an SLL could be achieved by mirroring and feeding the radiating elements with equal excitation. The design is also applicable to a dual-polarized antenna, as it does not only lower the sidelobe level but also improve the cross-polarization without increasing the circuit complexity. An antenna prototype has been realized with an experimental bandwidth better than 3 GHz and a sidelobe level of −15.6 dB. These excellent measured results prove that this method with a simple design approach is feasible for an antenna array with high suppression of sidelobe and cross-polarization.