Miracle-dz/UniFAR-FTUs huggingface dataset:
Cloning and Characterization of a Pseudo-Response Regulator 7 (PRR7) Gene from Medicago Sativa Involved In Regulating the Circadian Clock

The plant lowering process represents the transition from vegetative to productive growth, and is controlled by complicated innergenetic regulation and the external environment. Flowering is closely related to the heading date and maturity crops, and has been studied for hundreds of years [1]. Currently, studies on Arabidopsis thaliana have revealed ive pathways, the vernalization, photoperiod, gibberellin, autonomous, and endogenous pathways [1]. Initially, it was discovered that day length, namely photoperiod, could be perceived by higher plants and impacted their lowering. Over these years, different models have been put forward to explain the relationship between lowering and photoperiod [2,3]. Recently, a growing number of genes have been characterized as effectors of the natural condition or internal regulatory network, which has enhanced our knowledge of the regulators mediating the lowering pathway and plant circadian clock.
An Efficient Algorithm for Sign Language Recognition

Sign language is the only tool of communication for the person who is not able to speak and hear anything. Sign language is a boon for the physically challenged people to express their thoughts and emotion. In this paper, a novel sceme of sign language recognition has been proposed for identifying the alphabets in sign language. 10 different spatial domain features ahs been extracted and used for recognition task. Backpropagation neural network is used for classification of features. Results obtained shows a good accuracy of this system in recognizing the alphabets. Keywords—ASL,ISL,JSL DCT, Self organizing Map, Camshift
Non-Small Cell Lung Cancer Cells Induce Monocytes to Increase Expression of Angiogenic Activity 1

Tumors are dependent on angiogenesis for survival and propagation. Accumulated evidence suggests that macrophages are a potentially important source of angiogenic factors in many disease states. However, the role(s) of macrophages in non-small cell lung cancer (NSCLC) have not been determined. We hypothesized that monocyte-derived macrophages are induced by NSCLC to increase expression of angiogenic factors. To define the role of macrophage-tumor cell interaction with respect to angiogenesis, human peripheral blood monocytes (PBM) were cocultured with A549 (human bronchoalveolar cell carcinoma) or Calu 6 (human anaplastic carcinoma) NSCLC cells. The resultant conditioned medium (CM) was evaluated for angiogenic potential and for expression of angiogenic factors. We found that endothelial cell chemotactic activity (as a measure of angiogenic potential) was significantly increased in response to CM from cocultures of PBM/NSCLC compared with PBM alone, NSCLC alone, or a combination of NSCLC and PBM CM generated separately. Subsequent analysis by ELISA reveals markedly increased CXC chemokine expression, with a lesser increase in vascular endothelial growth factor, in CM from PBM/NSCLC coculture. Neutralizing Ab to angiogenic CXC chemokines blocked the increase in endothelial cell chemotaxis. Furthermore, with separately generated CM as a stimulus, we found that macrophages are the predominant source of increased CXC chemokine expression. Finally, we found that NSCLC-derived macrophage migration-inhibitory factor is responsible for the increased expression of macrophage-derived angiogenic activity. These data suggest that the interaction between host macrophages and NSCLC cells synergistically increases angiogenic potential, and that this is due to an increased elaboration of angiogenic CXC chemokines. The Journal of Immunology,2001, 166: 7549–7555.
The effects of mobile electronic device use in influencing pedestrian crossing behaviour

Mobile phone distraction is a global issue in road safety perspective especially involving the pedestrians. A lot of research findings had suggested that the use of mobile phone increase the risk for pedestrians while crossing the road, but there have been very few studies that could explain the said threat in Malaysia’s situation. This study aims to identify the distracted pedestrian behaviour via the video recording method. More than 300 samples were observed as involved in mobile phone distractions while crossing the roads from a total of approximately 1,500 analysed samples. The study also found that the highest mode of distraction observed among pedestrians was the “handheld usage” (conversing) as compared to the “hands-free” and “application usage” modes. In addition, the distractions had significantly affected the time to cross and the observed road users who were involved in “application usage” took longer time to cross. These results provide a prevalence material that may be useful in the development of countermeasures.
Deposited in DRO : 13 August 2018 Version of attached le :

Energy Hub is expected to be one of the most effective methods to address the integrated system with multiple energy carriers. In this work, an Energy Hub scheduling method is proposed, which could not only meet various energy load demands but also address the transmission line loss and voltage stability influences. The proposed method is then evaluated by case studies, where the electricity network and thermal network are implemented on the Real Time Digital Simulator (RTDS). The proposed scheduling method is run online with real-time monitoring of the whole system operation status. Results show that the proposed Energy Hub scheduling method is able to reduce the hub operating cost while improving the overall voltage profile.
Secure Routing in Mobile Ad-Hoc Networks: Attacks and Solutions

Spontaneous deployment, autonomous and distributed nature, infrastructure-less networking, ease of scalability and geographical independence make mobile ad hoc networks (MANETs) an appealing choice for use in a variety of critical applications. However, inherent characteristics of MANETs such as open wireless medium, lack of centralized authority, dynamic topology and limited physical security make them vulnerable to a variety of network layer attacks. Internal nodes may launch a variety of attacks by compromising the routing mechanism to carry out various kinds of packet forwarding misbehaviors during data transmission which directly affects Quality of Service (QoS) of the network. Therefore, it is imperative to improve the routing mechanism in order to develop a cooperative and trusted environment among the mobile nodes for secure and reliable communication in the network.
Information Flow and Price Discovery in Canadian and U . S . Stock Markets

In this paper, we consider the dynamics and complexity of price discovery of the same underlying assets traded in synchronous markets in two different countries. We extend the existing literature by studying the complex but realistic market conditions that are not jointly considered before: (1) Each country’s market is exposed to both internal and external shocks of different sizes. (2) Information channels may be complex and vary over the trading day. (3) Each market may absorb external shocks with a unique (long or short) lag. (4) Sampling data across different frequencies may be necessary to avoid data truncation. Therefore, we propose a new approach and a new dynamic price discovery measure to study price discovery. In this paper, we use this research strategy to examine the 109 stocks listed and traded in both the Canadian and U.S. markets across intraday data of different frequencies from minute-by-minute to the end-of-day. We find the different behaviors of the two markets in incorporating innovations from within and across the markets, different information transmission channels across the markets, the dynamics for innovations to be absorbed in these markets, and distinguishable features of the information efficiency across a range of key market characteristics. This paper offers some fresh insight to the complexity and dynamics of price discovery. JEL Codes: C5, F3, G1
Intragenic ampli fi cation of PAX 5 : a novel subgroup in B-cell precursor acute lymphoblastic leukemia ?

Claire Schwab,* Karin Nebral,* Lucy Chilton, Cristina Leschi, Esmé Waanders, Judith M. Boer, Markéta Žaliová, Rosemary Sutton, Ingegerd Ivanov Öfverholm, Kentaro Ohki, Yuka Yamashita, Stefanie Groeneveld-Krentz, Eva Froňková, Marleen Bakkus, Joelle Tchinda, Thayana da Conceição Barbosa, Grazia Fazio, Wojciech Mlynarski, Agata Pastorczak, Giovanni Cazzaniga, Maria S. Pombo-de-Oliveira, Jan Trka, Renate Kirschner-Schwabe, Toshihiko Imamura, Gisela Barbany, Martin Stanulla, Andishe Attarbaschi, Renate Panzer-Grümayer, Roland P. Kuiper, Monique L. den Boer, Hélène Cavé, Anthony V. Moorman, Christine J. Harrison, and Sabine Strehl, on behalf of the International Berlin-Frankfurt-Münster (I-BFM) Study Group
Metadata of the chapter that will be visualized in SpringerLink

We describe a new deep generative architecture, called Dynamic Gated Graph Neural Networks (DGGNN), for extracting a scene graph for an image, given a set of bounding-box proposals. A scene graph is a visually-grounded digraph for an image, where the nodes represent the objects and the edges show the relationships between them. Unlike the recently proposed Gated Graph Neural Networks (GGNN), the DGGNN can be applied to an input image when only partial relationship information, or none at all, is known. In each training episode, the D-GGNN sequentially builds a candidate scene graph for a given training input image and labels additional nodes and edges of the graph. The scene graph is built using a deep reinforcement learning framework: states are partial graphs, encoded using a GGNN, actions choose labels for node and edges, and rewards measure the match between the ground-truth annotations in the data and the labels assigned at a point in the search. Our experimental results outperform the state-of-the-art results for scene graph generation task on the Visual Genome dataset.
TEACHING WRITING ANALYTICAL EXPOSITION TEXT BY USING TEAM WORD-WEBBING TECHNIQUE

Abstract The purpose of this research was to investigate whether or not the use of “Team Word-Webbing Technique” effective in teaching writing analytical exposition text at the eleventh grade students of SMAN 1 Sungai Ambawang in academic year 2016/2017. This research applied a quasi-experimental design. The population of this research was XI IPA 2 as the experimental group and XI IPA 1 as the control group. The data was collected by using measurement technique with written test as the tool of collecting data. The research findings showed that the mean score of pre-test in the experimental group was 30.25, while the mean score of post-test was 66.71. On the other hand, the mean score of pre-test in the control group was 28.15, while mean score of the post-test was 56.03. The computation result by using t-test showed the value of t-test was 6.34 with df 62 in the significance degree of 5%, t-table was 1.99897, it meant that t-test was higher than t-table. Furthermore, the effect size of treatment was 0.65 which was classified as “moderate”. Thus, the significant difference could be interpreted that the use of team word-webbing technique was effective in improving the students’ ability in writing analytical exposition text. Keywords: Analytical Exposition Text, Teaching Writing, Team Word-Webbing.
Forecasting the Ionospheric f 0 F 2 Parameter One Hour in Advance Using Recurrent Neural Network

It is difficult to forecast the state of ionosphere because the time-varying characteristics. Using recurrent neural network (RNN) one hour ahead prediction of the critical parameter of ionospheric F2 layer (f0F2) is realized. The prediction model is developed based on 11 years (from 2005 to 2016) of data measured from ionospheric vertical stations in China. By analyzing time series correlation of f0F2 and solar-terrestrial and geomagnetic activities, several parameters are selected as inputs. Though training the RNN model, the forecasting values one hour ahead can be obtained. For this time-series problem, the predicted ability of RNN is better than Artificial Neural Network (ANN) and the autocorrelation method by comparing the results of three different algorithms.
Outplanted Acropora cervicornis enhances the fish assemblages of Southeast Florida

4 Introduction . 5 Methodology . 9 Data Analysis . 13 Results . 15 Total Fish Abundance . 15 Species Richness . 18 Grazers . 20 Discussion . 22 Acknowledgements . 26 References . 28 Appendices . 38
A CONCEPTUAL FRAMEWORK FOR IOT-BASED HEALTHCARE SYSTEM USING CLOUD COMPUTING

Patient monitoring systems are gaining their importance as the fast-growing global elderly population increases demands for caretaking. These systems use wireless technologies to transmit vital signs for medical evaluation. The aim of the project is to provide a better health care to people from house in more economic and pertinent friendly manner. The need of home based health monitoring system is increased now days because health care cost is increasing exponentially in last few decades. In the proposed home based health monitoring system using android smart phone includes the aspects of acquisition of medical parameters like Body temperature, Pulse rate and ECG. Processing of a collected data using ARM7 (LPC2148) processer and processed data is then displayed on doctors or relatives android mobile phones. Also the data can be displayed on personal computer. The system is utilizing a low cost component to transmit data like ECG to physician for monitoring; diagnosis and patients care at significantly low cost, regardless of patient’s location.
The EU Air Quality Framework Directive : Shaped and Saved by Interaction ? Project Deliverable No . D 21 , Final Draft ( January 2003 )

Although the development of EU air quality policy started in the 1980s, the 1996 Air Quality Framework Directive (FD) is an important legal milestone in the EU’s fight against air pollution. The Directive itself did not create any precise air quality objectives, but rather it set out a framework and basic principles for ambient air quality monitoring and management. These were to go into effect once daughter directives for specific pollutants had been adopted. So the main reason to describe it as being a milestone is found in these subsequent daughter directives, which have both broadened the scope of EU policy in this area in terms of substances covered and introduced far more stringent air quality limit values than previously applied. The first daughter directive targets sulphur dioxide, nitrogen dioxide, particulate matter and lead, and was adopted in 1999. The second directive targets benzene and carbon monoxide, and was adopted in 2000. The third directive targets ground-level ozone and was adopted in late 2001. As it makes sense to see the 1996 Directive and the subsequent daugher directive as different facets of the same basic institutional entity, a reference in the rest of the paper to the Air Quality FD also includes the daughter directives. The Air Quality FD is the institution focused upon in this paper.
Program Committee (Alphabetical Order)

The adoption of standard CGIF by CG tools will enable interoperability between them to be achieved, and in turn lead to the interoperability between CG tools and other tools. The integration of ISO Common Logic’s standard CGIF notation in the Amine platform is presented. It also describes the first steps towards full interoperability between the Amine CG tool (through its Synergy component) and CharGer, a representative CG tool that supports similar interoperability and for process (or ‘active’) knowledge as well as declarative knowledge. N-adic relations are addressed as well as semantic compatibility across the two tools. The work remarks on the successes achieved, highlighting certain issues along the way, and offering a real impetus to achieve interoperability.
Discussion of artificial intelligence application in medical imaging

[收稿日期] 2018-07-11 [接受日期] 2018-08-02 [基金项目] 国家重点研发计划政府间项目(2016YFE0103000), 上海市科学技术委员会基金项目(17411952400), 上海市卫生计划生育委员 会智慧医疗项目(2018ZHYL0101). Supported by National Key Research and Development Program of China for Intergovernmental Cooperation (2016YFE0103000), Project of Science and Technology Commission of Shanghai Municipality(17411952400), and Shanghai Health Planning Commission Smart Medical Project (2018ZHYL0101). [作者简介] 萧 毅,博士,副教授、副主任医师,硕士生导师. E-mail: cz-xiaoyi@smmu.edu. cn 通信作者(Corresponding author). Tel: 021-63587668, E-mail: liushiyuan@smmu.edu. cn 刘士远 海军军医大学(第二军医大学)长征医院影像医学与核医学科主任,博士生导师。 中 华放射学分会候任主任委员、中国医学影像人工智能产学研用创新联盟理事长。 擅长胸部疾病特别是 肺癌的影像学诊断。 主要研究方向:(1)早期肺癌筛查,肺癌的早期诊断及鉴别诊断,中晚期肺癌 的综合介入治疗;(2)肺部机遇性感染的基础和临床研究;(3)慢性阻塞性肺部疾患的功能影像学 研究;(4)分子影像学;(5)人工智能技术在医学影像学中的应用。 承担科技部重大项目、国家自 然科学基金重点项目及面上项目、上海市科学技术委员会重大项目等 40 余项课题。 发表论文 500 多 篇,获国家发明专利授权 12 项,获中华医学奖、军队科技进步奖、上海市科技进步奖等奖项 10 余 项。 主编、副主编专著 20 余部,参编各类专著或教科书 30 余部。
From Single to Multiple: Research on Brand Building and Marketization of School Wushu Events

Wushu is an excellent traditional national sport in China. In recent years, with the development of modern Wushu, the marketization of Wushu competitions has gradually appeared on the agenda and been put into practice. For the developed countries with market economy, sports industry has become the main sector of national economy, even the pillar industry of national economy in many European and American countries. The combination of the various actions in martial arts makes them resistant to attack and defense. Martial arts competitions have therefore appeared in the public eye. There are many aspects of martial arts events that need to be improved and improved. One of the questions is how to form a distinctive Chinese martial arts event brand in the future to better develop and expand its influence and market. This paper examines the existing problems on the basis of grasping the development clues by combing the evolution of martial arts events.
Polarization-Resolved Modulation Response of Vertical-Cavity Surface-Emitting Lasers

The small-signal modulation response of verticalcavity surface-emitting lasers (VCSELs) is studied numerically, based on the spin-flip model. A detailed characterization of the influence of various parameters, such as the dichroism, the birefringence, the spin-flip rate and the noise level is done. The analysis is performed in regions of the parameter space where the operating conditions, in the absence of modulation, are such that there is either stable single linear polarization, or bistability of two orthogonal linear polarizations or polarization instability. In the instability region the intensities of the orthogonal polarizations display anticorrelated self-sustained oscillations that result in a complex small-signal modulation response, exhibiting multiple resonance peaks with frequencies that vary with the injection current and the spin-flip rate. In contrast, in parameter regions where there is stable single polarization the modulation response of the total intensity is as that of a single-mode laser, exhibiting a conventional single-resonance peak, and is almost not influenced by the value of the spin-flip rate. Polarization mode-hopping results in a distortion of the polarization-resolved modulation response at low frequencies.
Various Techniques Used In Defect Segmentation and Disease Inspection in Fruits and Vegetables: A Survey

-Computer vision and machine learning are two young and promising technology. Paired together they have been in use for inspection, identification, object recognition and many more. Agricultural markets suffer heavily due to the loss caused by diseases. It can be easily prevented if only the farmers and cold storage owners knew what exactly the disease the product is suffering from. With the increasing reach of smartphone, digital cameras have been getting available to the masses. We are aiming to develop algorithms that can detect and estimate the diseases in vegetables and fruits. Such algorithms can be accommodated in smartphones and can potentially change the way the current inspection of the agricultural produces. Here we have tried to identify the key algorithms from recent work that could help us developing more advanced algorithms.
Correlation of Resting Heart Rate with the Severity and Complexity of Coronary Artery Disease: A Single-Center Retrospective Study

Background: We aimed to explore the association between resting heart rate (RHR) and the severity and complexity of atherosclerosis in coronary artery disease (CAD). Methods: Clinical and laboratory data of 388 patients who underwent coronary angiography were evaluated retrospectively. SYNTAX and Gensini scores were calculated based on angiographic findings. These scores which indicate the severity of atherosclerosis was calculated for all the patients. Patients were divided into three main groups according to RHR. Group 1 composed of patients with RHR ≤70 (n = 217), group 2 composed of patients with RHR between 70 and 89 (n = 133), and group 3 composed of patients with RHR ≥90 beats per min (bpm) (n = 38). Gensini and SYNTAX score values of the three study groups were compared. Also, Gensini score was tested for whether it showed a positive correlation with RHR and SYNTAX scores. Results: All patients had an average age of 61.3 years, and the mean for RHR was 72 bpm. Mean Gensini score in the general CAD population was 24.4 ± 22.5, and mean SYNTAX score was 13.6 ± 8.1 points. The Gensini and Syntax score values of the group 3 were significantly higher than that of the other two groups (59.8 ± 31.2, P < 0.001 and 26.0 ± 6.5, P < 0.001, respectively). There was a significant correlation with Gensini score and RHR, SYNTAX score, C-reactive protein (CRP), and left ventricular ejection fraction [(r = 0.725, P < 0.001), (r = 0.680, P < 0.001), (r = 0.543, P < 0.001), (r = −0.224, P < 0.001), respectively]. Conclusions: RHR is an effective easily available marker for the assessment of severity and complexity of CAD.
Pathways and challenges for efficient solar-thermal desalination

We review recent advances, limitations, and prospects of solar-thermal desalination for sustainable, low-cost water production. Solar-thermal desalination (STD) is a potentially low-cost, sustainable approach for providing high-quality fresh water in the absence of water and energy infrastructures. Despite recent efforts to advance STD by improving heat-absorbing materials and system designs, the best strategies for maximizing STD performance remain uncertain. To address this problem, we identify three major steps in distillation-based STD: (i) light-to-heat energy conversion, (ii) thermal vapor generation, and (iii) conversion of vapor to water via condensation. Using specific water productivity as a quantitative metric for energy efficiency, we show that efficient recovery of the latent heat of condensation is critical for STD performance enhancement, because solar vapor generation has already been pushed toward its performance limit. We also demonstrate that STD cannot compete with photovoltaic reverse osmosis desalination in energy efficiency. We conclude by emphasizing the importance of factors other than energy efficiency, including cost, ease of maintenance, and applicability to hypersaline waters.
Leishmania Vaccines Entered in Clinical Trials: A Review of Literature

Leishmaniasis is considered as a zoonotic infection and neglected tropical disease. Leishmania treatment is not totally successful and imposes high expenditures, especially in developing countries. Since the natural infection leads to the robust immunity in most of the human cases, many bodies of research have been focusing on Leishmania vaccines, being capable to control Leishmania infection. First generation vaccines (such as Leishmune® and CaniLeish®) have proved robust protective immunity in dogs. In human, recombinant vaccines, including Leish-F1 could confer some degrees of protective immunity against natural infection. Recently, ChAd63-KH DNA vaccine has been accomplished in providing prevention against Leishmania infection; however, this vaccine should be further evaluated in other clinical trials.