Miracle-dz/UniFAR-FTUs huggingface dataset:
Ontogenetic Changes in the Bell Morphology and Kinematics and Swimming Behavior of Rowing Medusae: the Special Case of the Limnomedusa Liriope tetraphylla

Swimming animals may experience significant changes in the Reynolds number (Re) of their surrounding fluid flows throughout ontogeny. Many medusae experience Re environments with significant viscous forces as small juveniles but inertially dominated Re environments as adults. These different environments may affect their propulsive strategies. In particular, rowing, a propulsive strategy with ecological advantages for large adults, may be constrained by viscosity for small juvenile medusae. We examined changes in the bell morphology and swimming kinematics of the limnomedusa Liriope tetraphylla at different stages of development. L. tetraphylla maintained an oblate bell (fineness ratio ≈ 0.5–0.6), large velar aperture ratio (Rv ≈ 0.5–0.8), and rapid bell kinematics throughout development. These traits enabled it to use rowing propulsion at all stages except the very smallest sizes observed (diameter = 0.14 cm). During the juvenile stage, very rapid bell kinematics served to increase Re sufficiently for rowing propulsion. Other taxa that use rowing propulsion as adults, such as leptomedusae and scyphomedusae, typically utilize different propulsive strategies as small juveniles to function in low Re environments. We compared the performance values of the different propulsive modes observed among juvenile medusae.
Characterization of Epiphytic Bacterial Communities from Grapes, Leaves, Bark and Soil of Grapevine Plants Grown, and Their Relations

Despite its importance in plant health and crop quality, the diversity of epiphytic bacteria on grape berries and other plant parts, like leaves and bark, remains poorly described, as does the role of telluric bacteria in plant colonization. In this study, we compare the bacterial community size and structure in vineyard soils, as well as on grapevine bark, leaves and berries. Analyses of culturable bacteria revealed differences in the size and structure of the populations in each ecosystem. The highest bacteria population counts and the greatest diversity of genera were found in soil samples, followed by bark, grapes and leaves. The identification of isolates revealed that some genera – Pseudomonas, Curtobacterium, and Bacillus – were present in all ecosystems, but in different amounts, while others were ecosystem-specific. About 50% of the genera were common to soil and bark, but absent from leaves and grapes. The opposite was also observed: grape and leaf samples presented 50% of genera in common that were absent from trunk and soil. The bacterial community structure analyzed by T-RFLP indicated similarities between the profiles of leaves and grapes, on the one hand, and bark and soil, on the other, reflecting the number of shared T-RFs. The results suggest an interaction between telluric bacterial communities and the epiphytic bacteria present on the different grapevine parts.
Reliability of Organic Field‐Effect Transistors

In this article, we review current understanding of the reliability of organic field‐effect transistors, with a particular focus on degradation of device characteristics under bias stress conditions. We discuss the various factors that have been found to influence the operational stability of different material systems, including dependence on stress voltage and duty cycle, gate dielectric, environmental conditions, light exposure, and contact resistance. A key question concerns the role of extrinsic factors, such as oxidation or presence of moisture, and that of intrinsic factors, such as the inherent structural and electronic disorder that is present in thin organic semiconductor films. We also review current understanding of the microscopic defects that could play a role in charge trapping in organic semiconductors.
Efficient Synthesis and Bioactivity of Novel Triazole Derivatives

Triazole pesticides are organic nitrogen-containing heterocyclic compounds, which contain 1,2,3-triazole ring. In order to develop potential glucosamine-6-phosphate synthase (GlmS) inhibitor fungicides, forty compounds of triazole derivatives were synthesized in an efficient way, thirty nine of them were new compounds. The structures of all the compounds were confirmed by high resolution mass spectrometer (HRMS), 1H-NMR and 13C-NMR. The fungicidal activities results based on means of mycelium growth rate method indicated that some of the compounds exhibited good fungicidal activities against P. CapasiciLeonian, Sclerotinia sclerotiorum (Lib.) de Bary, Pyricularia oryzae Cav. and Fusarium oxysporum Schl. F.sp. vasinfectum (Atk.) Snyd. & Hans. at the concentration of 50 µg/mL, especially the inhibitory rates of compounds 1-d and 1-f were over 80%. At the same time, the preliminary studies based on the Elson-Morgan method indicated that the compounds exhibited some inhibitory activity toward glucosamine-6-phosphate synthase (GlmS). These compounds will be further studied as potential antifungal lead compounds. The structure-activity relationships (SAR) were discussed in terms of the effects of the substituents on both the benzene and the sugar ring.
The Effectiveness of Acupuncture in Prevention and Treatment of Postoperative Nausea and Vomiting - A Systematic Review and Meta-Analysis

Background Acupuncture therapy for preventive and treatment of postoperative nausea and vomiting(PONV), a condition which commonly present after anaesthesia and surgery is a subject of growing interest. Objective This paper included a systematic review and meta-analysis on the effect of different type of acupuncture and acupoint selection in PONV prevention and treatment. Methods Randomised controlled trials(RCTs) comparing acupuncture with non-acupuncture treatment were identified from databases PubMed, Cochrane, EBSCO, Ovid, CNKI and Wanfangdata. Meta-analysis on eligible studies was performed using fixed-effects model with RevMan 5.2. Results were expressed as RR for dichotomous data, with 95%CI. Results Thirty RCTs, 1276 patients (intervention) and 1258 patients (control) were identified. Meta-analysis showed that PC6 acupuncture significantly reduced the number of cases of early vomiting (postoperative 0-6h) (RR=0.36, 95%CI 0.19,0.71; P=0.003) and nausea (postoperative 0-24h) (RR=0.25, 95%CI 0.10,0.61; P=0.002), but not early nausea (postoperative 0-6h) (RR=0.64, 95%CI 0.34,1.19; P=0.150) and vomiting (postoperative 0-24h) (RR=0.82, 95%CI 0.48,1.38; P=0.450). PC6 acupressure significantly reduced the number of cases of nausea (RR=0.71, 95%CI 0.57,0.87; P=0.001) and vomiting (RR=0.62, 95%CI 0.49,0.80; P=0.000) at postoperative 0-24h. PC6 electro-acupoint stimulation significantly reduced the number of cases of nausea (RR=0.49, 95%CI 0.38,0.63; P<0.000) and vomiting (RR=0.50, 95%CI 0.36,0.70; P<0.000) at postoperative 0-24h. Stimulation of PC6 with other acupoint(s) significantly reduced the number of cases of nausea and vomiting (RR=0.29, 95%CI 0.17,0.49; P<0.000) at postoperative 0-24h. Stimulation of other acupoint(s)(non PC6) also significantly reduced the number of cases of nausea and vomiting (RR=0.63, 95%CI 0.49,0.81; P=0.000) at postoperative 0-24h. However, the quality of study was generally low in studies of PC6 combined with other acupoint(s) and other acupoint(s). Details of blinding were not reported in most reports. Conclusions Besides PC6, PC6 combined with other acupoint(s) and other alternative acupoint(s) might be beneficial in prevention and treatment of PONV, the evidence justifies future high-quality studies.
Physically Active Lessons Improve Lesson Activity and On-Task Behavior: A Cluster-Randomized Controlled Trial of the “Virtual Traveller” Intervention

Background. Physically active lessons have not often been assessed with randomized controlled trials. Aims. Evaluate the effects of the “Virtual Traveller” (VT) intervention delivered using classroom interactive whiteboards on physical activity, on-task behavior, and student engagement. Methods. Participants were 219 children aged 8 to 9 years from 10 schools in Greater London, assessed in a cluster-randomized controlled trial between March 2015 and May 2016. For 6 weeks, intervention children received 10-minute VT sessions three times a week during math and English lessons (VT group: n = 113). Children in control schools received regular teaching (COM group: n = 106). Outcomes were school-day, weekend-day, and lesson-time sedentary behavior (SB), light physical activity (LPA) and moderate-to-vigorous physical activity (MVPA), and on-task behavior and student engagement, assessed at baseline (T0), 2 weeks (T1), and 4 weeks (T2) during the VT intervention and 1 week (T3) and 3 months (T4) postintervention using multilevel modeling. Results. VT pupils engaged in significantly more school-day MVPA at T1 only, with no other significant differences between groups in overall school-day or weekend-day activity. VT pupils engaged in significantly less SB and more MVPA during lesson time than COM pupils. More on-task behavior was shown in VT pupils than COM pupils but there was no difference in student engagement. Discussion. VT reduced sedentary behavior and increased physical activity during lesson time but not across overall school or weekend days. VT improved on-task behavior but had no effect on student engagement. Conclusion. Physical activity can be integrated into teaching using interactive whiteboards with no detriment to educational outcomes.
Filter Bank Multicarrier Modulation Schemes for Future Mobile Communications

Future wireless systems will be characterized by a large range of possible uses cases. This requires a flexible allocation of the available time-frequency resources, which is difficult in conventional orthogonal frequency division multiplexing (OFDM). Thus, modifications of OFDM, such as windowing or filtering, become necessary. Alternatively, we can employ a different modulation scheme, such as filter bank multi-carrier (FBMC). In this paper, we provide a unifying framework, discussion, and performance evaluation of FBMC and compare it with OFDM-based schemes. Our investigations are not only based on simulations, but are substantiated by real-world testbed measurements and trials, where we show that multiple antennas and channel estimation, two of the main challenges associated with FBMC, can be efficiently dealt with. In addition, we derive closed-form solutions for the signal-to-interference ratio in doubly-selective channels and show that in many practical cases, one-tap equalizers are sufficient. A downloadable MATLAB code supports reproducibility of our results.
Title Linguistically Informed Tweet Categorization for OnlineReputation Management

Determining relevant content automatically is a challenging task for any aggregation system. In the business intelligence domain, particularly in the application area of Online Reputation Management, it may be desirable to label tweets as either customer comments which deserve rapid attention or tweets from industry experts or sources regarding the higher-level operations of a particular entity. We present an approach using a combination of linguistic and Twitter-specific features to represent tweets and examine the efficacy of these in distinguishing between tweets which have been labelled using Amazon’s Mechanical Turk crowdsourcing platform. Features such as partof-speech tags and function words prove highly effective at discriminating between the two categories of tweet related to several distinct entity types, with Twitterrelated metrics such as the presence of hashtags, retweets and user mentions also adding to classification accuracy. Accuracy of 86% is reported using an SVM classifier and a mixed set of the aforementioned features on a corpus of tweets related to seven business entities.
Using a foot mounted accelerometer to detect changes in gait patterns

The purpose of this study is to investigate how data from a foot mounted accelerometer can be used to detect motor pattern healthy subjects performed walking trails under two different conditions; normal and stiff ankle walking. Lower body kinematic data were collected as well as accelerometer data from both feet. An algorithm is presented which quantifies relevant swing phase characteristics from the foot accelerometer. Peak total acceleration during initial swing was significantly higher in the stiff ankle condition (M = 33.10, SD = 5.12) than in the normal walking condition (M = 29.47, SD = 5.75; t(7) = 4.32, p = . 003, two-tailed). There was a large effect size (eta squared = 0.853). Time between peak acceleration during initial swing to foot strike was significantly shorter in the stiff ankle condition (M = 0.42, SD = 0.02) than in the normal condition (M = 0.44, SD = 0.03; t(7) = -2.54, p = . 039, two- tailed). There was a large effect size (eta squared = 0.693). Simple to process metrics from tri-axial accelerometer data on the foot show potential to detect changes in ankle kinematic patterns.
Title Experience of developing an openflow SDN prototype formanaging

IPTV is a method of delivering TV content to endusers that is growing in popularity. The implications of poor video quality may ultimately be a loss of revenue for the provider. Hence, it is vital to provide service assurance in these networks. This paper describes our experience of building an IPTV Software Defined Network testbed that can be used to develop and validate new approaches for service assurance in IPTV networks. The testbed is modular and many of the concepts detailed in this tutorial may be applied to the management of other end-to-end services. Keywords—Software Defined Networking, Monitoring, IPTV
Allocating resources in cloud using CloudAnalyst

Cloud Computing is a recent technology which is used to deliver the computing resources as a service over Internet inorder to facilitate the execution of tasks that involve in large-scale computation. A data center (DC) is a basis for the provision of cloud services which is composed of networked computers and storage that use to organize process, store and disseminate huge data. The cloud environment utilizes both computing and networking resources for the dynamic provisioning of resources, configuration and reconfiguration, and optimization of resources allocation. This helps to maximize the utilization of the data center and to minimize the cost for running user request in the cloud. In the proposed work, CloudAnalyst tool is used for creating Data Centers and userbase and inturn virtual machines (VM's) can be created for the data centers. In the proposed work, service broker's policies are analyzed for allocating resources efficiently.
The four pillars of nanopositioning for scanning probe microscopy

Scanning probe microscopy (SPM) is a key enabling technology for science and engineering on the nanometer scale. In SPM, control of motion on the nanometer and subnanometer scale down to the size of a single atom, referred to as nanopositioning, plays a pivotal role. This dissertation considers the problem of nanopositioning for SPM, more specifically lateral nanopositioning, and focuses on four key technological elements that form the foundation of a typical feedback control loop in lateral nanopositioning for SPM. These four elements, termed pillars, are the sensor, the scanner, the controller and the scan trajectory. We first review the existing sensing technologies on the nanometer scale and show that non-contact sensing with subnanometer precision over a high bandwidth remains an open problem in applications where optical interferometry cannot be used, for example because of its form factor and cost. We propose a new displacement transducer that is based on using spintronic magnetoresistive sensors to detect changes in a high-gradient magnetic field at the pole of a micromagnetic dipole. We quantify the resolution of the displacement transducer, introduce a new model for multilayer giant magnetoresistance sensors that are subject to highly non-uniform fields, and present a performance and scalability study. Experimental results demonstrate the resolution of 600 pm over 1 MHz with noise floor of 0.5 pm/ p H z and range of more than 10 μm which is a remarkable figure given the low cost, small form factor and noncontact nature of the sensor, rendering it comparable to optical transducers at a fraction of their form factor and cost. We next review the existing SPM scanner designs, most of which are limited by the inherent trade-off between the range of operation and the scan speed. To tackle this issue, we propose a dual-stage scanner design in which two scanners, a short-range scanner and a large-range scanner, are serially linked to decouple the requirements on the scan range and speed. Subsequently, we present a custom-design short-range scanner that is optimized for high-speed operation along a single axis and features electromagnetic actuation to enable highly linear motion and the use of advanced feedback controllers. Experimental results are presented in which the short-range scanner is incorporated in a custombuilt dual-stage nanopositioning system that is used for large-range as well as real-time atomic force microscopy (AFM) imaging. A significant attention is devoted to feedback control for nanopositinoing.
AIS Electronic

Consumerization of IT refers to privately-owned IT resources, such as devices or software that are used for business purposes. The effects of consumerization are considered to be a major driver that redefines the relationship between employees (in terms of consumers of enterprise IT) and the IT organization. While there has been extensive debate on these matters in practice, IS research has not developed a clear theoretical understanding of the phenomenon. We present a theory and practice review, where the existing literature on consumerization is reviewed and a clear definition of the concept is developed. This study contributes to a theoretical understanding of IT consumerization in relation to fundamental aspects of IS. Our analysis shows, first, which distinct aspects of IS are affected by consumerization. Secondly, we provide an overview over major advantages and disadvantages for employees and organizations by conducting a systematic analysis of current literature available on the topic.
Reduced flight-to-light behaviour of moth populations exposed to long-term urban light pollution

The globally increasing light pollution is a well-recognized threat to ecosystems, with negative effects on human, animal and plant wellbeing. The most well-known and widely documented consequence of light pollution is the generally fatal attraction of nocturnal insects to artificial light sources. However, the evolutionary consequences are unknown. Here we report that moth populations from urban areas with high, globally relevant levels of light pollution over several decades show a significantly reduced flight-to-light behaviour compared with populations of the same species from pristine dark-sky habitats. Using a common garden setting, we reared moths from 10 different populations from early-instar larvae and experimentally compared their flight-to-light behaviour under standardized conditions. Moths from urban populations had a significant reduction in the flight-to-light behaviour compared with pristine populations. The reduced attraction to light sources of ‘city moths' may directly increase these individuals' survival and reproduction. We anticipate that it comes with a reduced mobility, which negatively affects foraging as well as colonization ability. As nocturnal insects are of eminent significance as pollinators and the primary food source of many vertebrates, an evolutionary change of the flight-to-light behaviour thereby potentially cascades across species interaction networks.
Arabic Word Recognition Using HMM-a Character Based Approach without Explicit Segmentation

This paper presents the IfN’s Offline Handwritten Arabic Word Recognition System. The system uses Hidden Markov Models (HMM) for word recognition, and is based on character recognition without explicit segmentation. The first part of this paper deals with databases for word recognition systems, and in particular, the IFN/ENIT database. The second part gives a short description of the pre-processing, normalisation, and feature extraction methods needed for this system. The final part gives a practical approach to the HMM-Recogniser used in our system and some results are presented. Index Terms : Offline Handwritten Recognition, Arabic Word Recognition, Segmentation, Hidden Markov Models, Competition, Database. Résumé : Cet article présente le système de reconnaissance des mots manuscrits arabes développé au sein du Laboratoire IfN. Le système utilise les techniques des Modèles Cachés de Markov (MMC ou Hidden Markov Model HMM) pour la reconnaissance des textes, et est basé sur la reconnaissance de caractères sans segmentation explicite. La première partie de cet article traite l’importance des bases de données pour les systèmes de reconnaissances. La deuxième partie contient une courte description du prétraitement, de la normalisation, et des méthodes d’extraction des caractéristiques images requises pour ce système. La partie principale présente une approche pratique du HMM utilisé dans notre système. Mots-clés : Reconnaissance off-line des mots manuscrits, Manuscrits arabes, Segmentation, Modèles Cachés de Markov, Competition, Bases de données.
Stopping the rise of HIV among adolescents globally

Purpose of review Adolescents, in particular those that are most disenfranchised, are increasingly at risk of acquiring HIV and, when acquiring HIV, have worse outcomes than adults. This article reviews the recent approaches to combination prevention aiming to optimize the HIV prevention and HIV treatment continua. Recent findings There are dramatic sociodemographic differences in the HIV epidemics in low and middle-income countries (young women in sub-Saharan Africa) compared with high-income countries (predominantly gay, bisexual, transgendered youth, especially black and Latino youth). Researchers and clinicians are designing developmentally tailored interventions that anticipate youths’ engagement with mobile technologies and build on the common features of evidence-based interventions that predate the use of antiretroviral therapies (ARV) for prevention and treatment. Summary Evidence-based HIV prevention and treatment programs that are cost-effective need to be broadly diffused globally. Substantial investments must be made in understanding how to implement programs, which have clinically meaningful impact and continuously monitor intervention quality over time.