Miracle-dz/UniFAR-FTUs huggingface dataset:
Colonization of barley (Hordeumvulgare) withSalmonellaenterica andListeria spp.

Colonization of barley plants by the food-borne pathogens Salmonella enterica serovar typhimurium and three Listeria spp. ( L. monocytogenes , L. ivanovii , L. innocua ) was investigated in a monoxenic system. Herbaspirillum sp. N3 was used as a positive control and Escherichia coli HB101 as a negative control for endophytic root colonization. Colonization of the plants was tested 1–4 weeks after inoculation by determination of CFU, speciﬁc PCR assays and ﬂuorescence in situ hybridization (FISH) with ﬂuorescently labelled oligonucleotide probes in combination with confocal laser scanning microscopy (CLSM). Both S. enterica strains were found as endophytic colonizers of barley roots and reached up to 2.3 (cid:1) 10 6 CFUper g root fresh weight after surface sterilization. The three Listeria strains had 10-fold fewer cell numbers after surface sterilization on the roots and therefore were similar to the results of nonendophytic colonizers, such as E. coli HB101. The FISH/CSLM approach demonstrated not only high-density colonization of the root hairs and the root surface by S. enterica but also a spreading to subjacent rhizodermis layers and the inner root cortex. By contrast, the inoculated Listeria spp. colonized the root hair zone but did not colonize other parts of the root surface. Endophytic colonization of Listeria spp. was not observed. Finally, a systemic spreading of S . enterica to the plant shoot (stems and leaves) was demonstrated using a speciﬁc PCR analysis and plate count technique.
When Your Outcomes Become My Rewards: Individual Differences in the Neural Representation of Others’ Outcomes Drives Prosociality (or Antisociality)

Contemporary theories of prosociality suggest the mesolimbic dopamine reward circuit may play a critical role in enabling prosociality during social decision-making. One implication is that people who find good outcomes for others to be rewarding should incorporate this signal during decision-making, and variance in the strength of this signal should lead to variations in decision-making. The degree to which others’ outcomes were experienced as rewarding was estimated through the modelling of outcome-period BOLD activity in a social decision-making task. Variation in reward to others’ outcomes moderated decision-making and related to established metrics of empathy, suggesting that the degree to which others’ outcomes will be rewarding to the self are incorporated during decision-making. The ability of the reward system to represent others’ outcomes may be an exaptation of the reward system in hypersocial animals, though, how others’ outcomes are represented in the reward system can promote either prosocial or antisocial behaviour.
MFGMTS: Epsilon Constraint-Based Modified Fractional Grey Wolf Optimizer for Multi-Objective Task Scheduling in Cloud Computing

ABSTRACT Optimization of computing resources in cloud computing requires a scheduling algorithm so that the user-requested tasks can be scheduled effectively. In addition to the efficiency, the adopted task scheduling algorithms must meet the user requirements. Although there are many algorithms for task scheduling, the algorithms that define multiple objectives with considered trade-off are rare. This paper proposes a multi-objective optimization algorithm, Modified Fractional Grey Wolf Optimizer for Multi-Objective Task Scheduling (MFGMTS) in cloud computing environment. The objectives, execution time, execution cost, communication time, communication cost, energy consumption, and resource utilization are computed using epsilon-constraint and penalty cost function. This newly considered constraint minimizes the fitness function, to provide optimal task scheduling. The algorithm is motivated by Fractional Grey-Wolf Optimization (FGWO) with a modification in the position update, where an additional term is incorporated using the combination of alpha and beta solutions. The algorithm is compared with the existing Particle Swarm Optimization, Genetic Algorithm (GA), Grey Wolf Optimizer, and FGWO to analyze the performance efficiency. It can attain minimum values of 0.186243, 0.174782, 0.016045, 0.087023, 0.012259, and 0.564528, regarding execution time, communication time, execution cost, communication cost, energy consumption, and resource utilization.
Learning Approaches to Beam Selection for Hybrid Analog Beamforming

—This paper investigates the applicability of deep and machine learning techniques to perform beam selection in the uplink of a mmWave communication system. Speciﬁcally, we consider a hybrid beamforming setup comprising an analog beamforming (ABF) network followed by a zero-forcing baseband processing block. The goal is to select the optimal conﬁguration for the ABF network bsed on the estimated angles-of-arrival (AoAs) and received powers. To that aim, we consider three machine/deep learning schemes: k-nearest neighbors (kNN), support vector classiﬁers (SVC), and the multilayer perceptron (MLP). We conduct an extensive performance evaluation to assess the impact of using the Capon or MUSIC methods to estimate the AoAs and powers, the size of the training dataset, the number of beamformers in the codebook, their beamwidth, or the number of active users. Computer simulations reveal that performance, in terms of classiﬁcation accuracy and sum-rate, is very close to that achievable via exhaustive search.
Cognitive-Psychoeducative Therapy Compared to Bilbliotherapy in Bipolar Disorder: A Controlled Group Therapy Study

der Clinical Global Impression (CGI)-Skala die PatientInnen der KPT-Gruppe signifi-kant besser ab als die der BT-Gruppe. In beiden Gruppen zeigt sich eine signifikante Reduktion der Anzahl der Krankheitsepisoden (in der BT-Gruppe allerdings nur für die manischen Episoden) und der Anzahl und Dauer sta-tionärer Krankenhausaufenthalte. Außerdem konnten in beiden Gruppen positive Auswirkungen auf Krankheitskonzepte und eine Reduktion psychosozialer Beeinträch-tigungen gezeigt werden. Schlussfolgerungen: Therapieformen sind wirksam in der Vorbeugung mani-scher Episoden, während nur die KPT-Gruppe auch einen Einfluss auch auf die Verhinderung depressiver Episoden sowie insgesamt eine höhere Wirksamkeit zeigte.
Bumbometer digital crowd game: collaboration through competition in entertainment events

The use of mobile devices, especially smartphones, is widespread across all social strata and age groups, helping to ensure faster access from anywhere, data collection, and more regular and frequent control to aid urban, environmental, and social management. In this scenario, the entertainment industry has benefited from this pow­ erful individual technological resource in cultural and sporting events. In this way, this work presents a proposal for interaction and engagement in entertainment events in a more prosperous and more technological way, through the development of a collaborative and competitive mobile­web crowd game, intended for enhancing interaction between the crowd and as a unified group, whether physically co­located or online. The application, called Bum­ bometer, uses motion sensors during an interactive dynamic with the crowd applying concepts from Mobile Crowd Sensing and User eXperience. We conducted two experimental studies to evaluate the proposed technology, the first in a real scenario of a folk cultural festival and the second in a controlled environment, simulating an event considering a scenario in which users were geographically distant. The results indicate that people feel immersed and engaged during the interaction through the proposed game, which reinforces the statement that the game meets an increasingly growing need to use technologies to ensure more significant interaction and audience immersion at crowd entertainment events
FloCon: Flow Conservation Framework for Monitoring SDN Networks

 Abstract — Software Defined Networks (SDN) is a new concept of network architecture. It intends for being more flexible and simplifies the management in networks respect the existing ones. All these aspects are possible because the separation of control plane (controller) and data plane (switches). OpenFlow is the most important protocol for SDN networks that provides the communication between control and data plane. Due the existence of an interface, it is possible to deploy monitoring tools to obtain the network status and retrieve a statistics collection. Therefore, achieve the most accurate statistics depend on the strategy to monitor the network. In this paper we describe an optimization for the traffic monitoring in SDN networks. Moreover, it decreases the number of monitoring queries to improve the network traffic and also it reduces the overload. The experiments shown that the results of monitoring with and without the optimization demonstrate the feasibility of our proposal. Finally, the conclusions and future challenges are presented.
Performance Analysis On Decision Tree Algorithms

: In data mining, classification is one of the most widely use technique for medical diagnosis, fraud detection, artificial intelligence, sales and production, plant classification etc. Various algorithms have been implemented till now to build a decision tree which is a classification technique. Decision tree algorithms like ID3, C4.5, VFDT, RDT used widely because of its easy implementation and analysis is much simple. In this paper we are highlighting on performance evolution of these algorithms i
The Andes and the Southeast Paciﬁc Cold Tongue Simulation

: Current climate models signiﬁcantly overestimate precipitation and temperature over the southeast Paciﬁc. Previousstudiesshow thattheAndesinﬂuencethe southeastPaciﬁcclimate, but becausetheyarea narrowmountain range, these effects are not well represented with the smoothing in low-resolution climate models. We hypothesize that the ele- vation of the Andes in low-resolution climate models is too low, allowing too much airﬂow across the mountains. Using the Community Earth System Model (CESM) version 1.2. 2 with a slab-ocean setting, we blocked the low-level airﬂow across the mountains by adjusting the height of the Andes. Our results show that using higher Andes in the model enhances the anticyclonic motion and increases the subsidence of air in the southeast Paciﬁc. The evaporative cooling from the strengthened surface wind and the radiative cooling from the formation of low-level clouds lower the sea surface temperature (SST) in the southeast Paciﬁc. The enhanced descent over the southeast Paciﬁc inhibits precipitation. We also performedasensitivitytest, varyingtheelevationof theAndesfrom0 to 6km,andanalyzedtheresultingenergybudgetand climate in both hemispheres. An increase of the elevation of the Andes causes the energy ﬂux equator (EKE) to shift northward, as a result of the decrease of the energy absorption in the Southern Hemisphere. Our research suggests that the Andes act as a barrier in maintaining the climate over the southeast Paciﬁc Ocean, and this effect is not well represented in low-resolution climate models.
Microbiota in early pregnant uterine cavity of URSA

35 Background: The majority of unexplained recurrent spontaneous abortion (URSA) was related to 36 immune abnormalities. Inappropriate changes of microbiota could cause immune disorders. 37 However, the role of uterine cavity microbiota in URSA has not be elucidated and few related 38 studies are available for reference. 39 Methods: Using the double-lumen embryo transfer tubes to collect uterine cavity fluid samples 40 from pregnant women in their first trimester. 16S rRNA sequencing was conducted to analysis the 41 composition and abundance of the microbiota in samples. 42 Results: We enrolled 10 URSA cases and 28 induced miscarriage cases in their early pregnancy. 43 Microbial communities were detected in all samples of URSA group (100%, n = 10) vs. none of 44 control group (0%, n=28). Two most dominant microbes are Lactobacillus and Curvibacter . 45 Conclusions: This study showed Lactobacillus and Curvibacter dominated colonizing in uterine 46 cavity of URSA patients during early pregnancy and associated with URSA. Changes of dominant 47 microbiota will lead to bad pregnancy outcome. 48 several studies associated with infertility, endometriosis, chronic endometrial polyps and dysfunctional menstrual bleeding(14, 15). It also was the dominated microbiota in the vagina. And Brown et al. found that reduced relative with premature cervical dilation(16). We compared the cases and found that the gestational week of embryo damage of URSA patients uterine cavity the bacteria later than others. This may indicate Firmicutes - Lactobacillus embryo We did not find Lactobacillus colonized control group we thought only unpregnant uterine
Collaborative and Secure Sharing of Healthcare Records Using Attribute-Based Authenticated Access

—The electronic health records are a widely utilized system in electronic health. It offers an efﬁcient way to share patient health records among those in the medical industry, such as physicians and nurses. The barrier that currently overshadows the effective use of electronic health records is the lack of security control over information ﬂow where sensitive health information is shared among a group of people within or across organizations. This study highlights authorization matters in cooperative en-gagements with complex scenarios in the collaborative healthcare domain. The focus is mainly on collaborative activities that are best accomplished by organized groups of healthcare practitioners within or among healthcare organizations with the objective of accomplishing a speciﬁc task (a case of patient treatment). In this study, we ﬁrst investigate and gain a deep understanding of insider threat problems in the collaborative healthcare domain. Second, an authorization schema is proposed that is suitable for collaborative healthcare systems to address the issue of information sharing and information security. The proposed scheme is based on attribute-based authentication, which, is a way to authenticate users by attributes or their properties. Finally, we evaluate the security of the proposed scheme to ensure our proposed scheme is unforgeable, coalition resistant, and traceable as well as it providers conﬁdentiality and anonymity.
Determining Bidirectional Ground Motions for Nonlinear Response History Analysis of Buildings at Far-Field Sites

The current practice for selecting bidirectional ground motions (GM pairs) to conduct nonlinear response history analysis (RHA) of multistory buildings is restricted to those with a symmetric plan. To overcome such limitations, we propose selecting GM pairs to be consistent with a pair of target spectra defined along the structural axes, enabling a unique azimuth to be determined for each GM pair. We develop two new target spectra: (1) the s-GCMS for two horizontal components of GM and (2) the CMS-UHS Composite Spectrum. Based on nonlinear RHAs of buildings with both symmetric and unsymmetric plans, the CMS-UHS Composite Spectrum is shown to be the best alternative to the current practice of utilizing multiple CMSs, because it provides accurate demands with minimal computational effort and can be easily constructed using existing PSHA tools.
Disentangling the Dimensions of Phonetic Variation: First Steps towards an Explanatory and Exploratory Research Tool in Phonetics

In this paper, we present first evidence for a potential application of novel speech technological methods as a valuable tool for basic phonetics research. We describe a research program aiming at identifying the complex phonetic realizations underlying various dimensions of phonetic variation. This will be addressed with the help of recent approaches in unsupervised voice conversion and waveform generation. Con-cretely, we present a model for disentan-gling speakers’ voice qualities and their linguistic-phonetic content, which can then be used to perform voice conversion across different dimensions of phonetic variation. The resulting signals are then “audible versions” of the phonetic dimensions of interest, and lend themselves to straightforward phonetic interpretation.
Lexi Con-Text Understanding the Context of a Sentence

—Natural Language Processing is one of the evolving ﬁelds given the ever growing amount of textual data and the need to analyze it. One of the important aspects of Natural Language Processing is computing the similarity between different sentences. Sentence similarity task has wide applications ranging from AI and chat bots to Plagiarism Analysis as well as for removal of duplicate entries. Although it has many applications the different approaches that exists to compare sentences are very naive, most to these methods compute similarity based on common keywords between them. Such a method tends to falter in most cases apart from having very less accuracy. It is essential to also consider the semantics of the sentences apart from matching keywords while making the comparison. We propose an approach for comparing the sentences by considering their underlying context. The comparison is made based on syntactic as well as semantic analysis of the sentences through the use of word embeddings to give better results.
EXTRACTING WORDS’ POLARITY WITH DEFINITION AND EXAMPLES

-Text analytics are not only the need of readers but are also helpful for the researchers of opinion mining. During reading there are a lot of words which are not understandable for the readers, so the readers require a dictionary then. Finding a particular word in a dictionary takes quite some time, and the reader may very well be distracted. So there is a need of such analytics that user can find out definitions, examples on the spot. The authors propose a work which can not only save the readers’ time, but also provides a way through which the readers will not lose their attention. This work also provides the lists of classifieds words with respect to positive, negative, objective and neutral polarities which are very helpful for opinion mining. After experimental results using WordNet dictionary, 75% definitions & 44% examples of user reviews, 92% definitions & 65% examples of politics domain, 92% definitions & 58% examples of sports domain and 87% definitions & 52% examples of medicine domain have been extracted.
An ultra-flexible 3-channel receive-only coil array for 3T magnetic resonance imaging made of coaxial transmission line resonators

Magnetic resonance imaging (MRI) is a well established technique in non-invasive medical imaging with high soft tissue contrast and the advantage of working without ionizing radiation. High-frequency coils are used to excite the nuclear spins as well as to receive the MR signal, which have their resonance frequency at the Larmor frequency of the examined atomic nuclei. A dynamic field of research in this context is the improvement of the achieved signal-to-noise ratio (SNR). For this purpose, several small coil elements can be combined to form a so-called ”array”. By using several coils, undesired couplings occur between them, which can be reduced to a minimum both by a well-thought-out arrangement of the elements (geometric decoupling) within the array and by an appropriate interface (preamplifier decoupling). In addition, the SNR increases if the coils are close to the area to be investigated. Standard coil arrays made of copper wire have a fixed soldered interface and are rigid. Due to the inelastic arrangement of the coil elements, good geometric decoupling is possible. The presented diploma thesis describes the development and construction of an ultra-flexible, 3-channel receive-only coil array for 3 Tesla magnetic resonance imaging. The array consists of three so-called coaxial coils, each with its own interface. In contrast to standard coils, coaxial cables are used as resonators. Through gaps of the inner and outer conductor, the dielectric becomes the capacitance and the entire structure resonates. There are only solder joints at the coil terminal, so this coil design is far more flexible than that of the standard coils, which have soldered capacitances inside the coil wire. If very thin coaxial cables are used, extremely flexible and also very light coils can be built with many new application possibilities for magnetic resonance imaging. One example is the Bracoil-project, which deals with the construction of a T-shirt-like array for breast MR. The flexible elements fit very well to the patient’s body shape.
FISS: function identification of subway stations based on semantics mining and functional clustering

In modern cities, the subway system plays an important role in carrying a large proportion of passenger transport. However, there still remain some issues on how to accurately identify the regional functions of subway stations. In this study, the authors propose an approach named FISS for identifying the functions of subway station regions based on semantics mining and functional clustering. First, they extract the passenger's travel patterns of each subway station based on the smart card transaction data and Shanghai subway network data and calculate the relative point of interest (POI) contents of each subway station by using Shanghai POI data, then feed the two above-mentioned results into latent Dirichlet allocation model for obtaining the mobile semantics and the location semantics separately. Furthermore, they carry out standardisation after combining the two semantics, then extract the functional characteristic vectors of subway stations by conducting sparse principal components analysis, and cluster these vectors by using the improved k -means algorithm. At last, they visualise the result after taking subway station's function identification by the interclass passenger flow transfer, the distribution of geographical function proportion and the similarity of inter-cluster. The results demonstrate the accuracy and efficiency of the proposed approach compared with other existing methods.
FLORAL CHARACTERS OF GERBERA ( Gerbera jamesonii ) AS AFFECTED BY FOLIAR APPLICATION OF HUMIC ACID AND CALCIUM CHLORIDE

: This study was conducted in lath house, Horticultural Department, College of Agriculture, University of Baghdad- Jadriya, Iraq during the spring and fall seasons of 2015 to investigate the influence of foliar application of humic acid and calcium chloride on “Yanara” gerbera cultivar. This study included two factors; humic acid spray (H) and calcium chloride spray (Ca). The first factor was represented by four levels which were; 0 (H 0 ), 5 (H 5 ), 7.5 (H 7.5 ) and 10 ml.l -1 (H 10 ) and four levels of calcium chloride; 0 (Ca 0 ), 50 (Ca 50 ), 100 (Ca 100 ) and 150 mg.l -1 (Ca 150 ). Data were recorded during spring and fall seasons. The experimental results showed that spraying plants with humic acid at 10 ml.l -1 and calcium chloride at 150 mg.l -1 (H 10 Ca 150 ) gave the highest values of flower number/plant (3.60 and 6.87), flower diameter (8.71 and 11.33 cm), vase life (11.90 and 11.34 day) for both seasons, respectively. The lowest values of these parameters were recorded with control treatment (H 0 Ca 0 ). It could be concluded that spraying plants with humic acid at H 10 and calcium chloride at Ca 150 had improved flower characteristics in gerbera plant cv. Yanara.