Miracle-dz/UniFAR-FTUs huggingface dataset:
Nitrate uptake by heterotrophic bacteria and the diversity of bacterial nitrate assimilation genes in marine systems

This study focused on the development of molecular methods to assay the diversity and abundance of groups of heterotrophic bacteria that are capable of aerobic NO3 assimilation. The variability of the abundance and diversity of populations of heterotrophic bacteria capable of NO3 utilization was studied in relation to patterns of bacterial NO3 uptake as indicated by N uptake experiments. A PCR primer set that could be used to selectively amplify a fragment of the nasA gene (assimilatory nitrate reductase) from heterotrophic bacteria was designed. Results suggest that nine groups of heterotrophic bacterial nasA genes are common and widely distributed in oceanic environments. N tracer experiments conducted in the Barents Sea and in the South Atlantic Bight indicate that bacteria assimilate, on average, between 15 and 40 % of the available NO3. These results suggest that bacteria play a larger role in NO3 utilization than previously hypothesized and that bacterial uptake of NO3 should not be ignored in estimates of new production. In the Barents Sea Marinobacter sp. nasA gene abundance, measured via a SYBR Green real-time PCR assay, was positively correlated with NO3, showing a two-fold increase in concentration relative to total bacteria at 80 m compared to 5 m. Compared to other variables tested, NO3 is the best predictor, by a factor of 10, of the variability associated with nasA community structure (assayed via T-RFLP) across the different water masses sampled in the Barents Sea. Studies conducted in the Skidaway River estuary in the South Atlantic Bight indicated a strong correlation, across seasons, between Marinobacter sp. nasA gene abundance and the magnitude of bacterial NO3 uptake. Of the different variables assayed, NO3 uptake rate was the best predictor, by a factor of 15, of the variability associated with nasA community structure. The finding that NO3 availability and patterns of NO3 utilization are positively correlated with nasA community structure variability and the abundance of particular groups of nasA genes, indicates that patterns of NO3 supply, in the marine environment, are sufficiently important to be a factor in regulating bacterial communities. INDEX WORDS: Nitrate uptake, N, PCR, Q-PCR, T-RFLP, nasA, Heterotrophic bacteria, Marine bacteria, Nitrogen cycle, estuary NITRATE UPTAKE BY HETEROTROPHIC BACTERIA AND THE DIVERSITY OF BACTERIAL NITRATE ASSIMILATION GENES IN MARINE SYSTEMS
Effects of Temperature and Rainfall Variability on the Net Income of Cereal Crops in Togo: Semi- Parametric Approach

This paper analyses the economic effects of temperature and rainfall variability on the net income of the main cereal crops in Togo based on a semi-parametric specification of the Ricardian model. The model provides a flexible functional form of the non-linear relationship between farmers' net income and climatic variables and evaluates the effect of climate variability on the net income of these crops. Using data from the National Agricultural Census in Togo, temperature and rainfall data from spatial interpolation over all prefectures and soil type data for each locality, the results of the semi-parametric estimates reveal a complex non-linear relationship of temperature and rainfall variability on the net income POLICY BRIEF Effects of Temperature and Rainfall Variability on the Net Income of Cereal Crops in Togo: SemiParametric Approach
Optimal time for adjuvant therapy initiation in breast cancer patients: A single center experience

Introduction. This retrospective study evaluates the association between the time of chemotherapy initiation and disease free survival in regard to breast cancer subtypes and stage at diagnosis. Material and Methods. The study included a total of 1075 breast cancer patients, stages I – III, treated at Oncology Institute of Vojvodina, Serbia (from 2010 to 2012; n = 617). The gathered data included prognostic factors used in everyday practice. Patients were divided into three groups according to the interval between surgery and chemotherapy (≤ 30, 31 – 60, ≥ 61 days). Disease free survival was calculated. Results. Among the 617 patients, the 5-year disease free survival estimate was similar: 81.5%, 81.0%, 84.6% (log-rank test, p = 0.728) regarding the time of adjuvant chemotherapy initiation: ≤ 30 days, 31 – 60, and ≥ 61 days, respectively. The study showed that 85% of our breast cancer patients started adjuvant chemotherapy within 3 months after definitive surgery. In multivariate analysis, independent prognostic factors for disease free survival were nodal status and tumor size. The 5-year disease free survival estimate was 85.8% (p = 0.001) for patients with luminalA subtype (Estrogen +, Progesterone high, human epidermal growth factor receptor 2 ̶, Ki-67 < 20%) with a median follow-up of 62,7 months; for patients with luminal-B (Luminal B (human epidermal growth factor receptor 2 –) Estrogen +, human epidermal growth factor receptor 2 ̶ , either Ki-67 high or Progesterone low, Luminal B (human epidermal growth factor receptor +) Estrogen +, human epidermal growth factor receptor 2 +, any Ki-67, any Progesterone) 78.3% (p = 0.534) with a median follow-up of 55.9 months; for patients with triple negative breast cancer it was 73.4% with a median follow-up of 58,1 months, and for patients with human epidermal growth factor receptor 2+ it was 77.1% (p = 0.448) with a median follow-up of 55.5 months. Conclusion. Early initiation of adjuvant chemotherapy is particularly important in patients with advanced-stage breast cancer at diagnosis, and those with trastuzumab-treated triple-negative breast cancer and human epidermal growth factor receptor 2-positive tumors.
UNIVERSIDADE FEDERAL DO AMAZONAS INSTITUTO DE CIÊNCIAS BIOLÓGICAS PROGRAMA DE PÓS-GRADUAÇÃO EM IMUNOLOGIA BÁSICA E APLICADA AVALIAÇÃO DA RESPOSTA Th17 EM PACIENTES

13 Introdução . 13 Aspectos imunológicos . 15 Considerações Finais . 23 Referências . 25 ARTIGO ORIGINAL . 30 Decreased RNA expression of interleukin 17A in skin of leprosy . 30 Abstract . 30. 30 Introduction . 31 Methods . 32 Results . 34 Discussion . 39 Acknowledgments . 41 References . 42 ANEXOS . 45
International Conference On Electronics Engineering and Computer Science ICEECS-2013

Telepresence is the science and art of creating visual collaboration environments, networks, and strategies that duplicate in-person meeting experiences as completely as possible in both internal and external business communications. Effectively leveraging telepresence as an organizational and collaborative strategy can improve productivity and effectiveness by enhancing business communication, collaboration, and reducing physical travel. The purpose of this paper is to help users to understand this new technology and how it is able to provide immediate and deep solution to complex and demanding needs of today’s organization for reducing cost, improving productivity and realizing their environmental responsibilities Keywords-Telepresence, Video Conferencing, Communication, Hardware, CISCO.
Introduction Research Progress of Ascendens Mucronatum and Its Application in Kunming

The hybrid clone breeding and conventional seedling,resistance,phenology,growth rhythm and Introduction and extension adaptability of Ascendens Mucronatum are summarized.At present the introduction range of which is longitude 102 °~122 °,latitude 24 °~39 °,where the soil salinity 0.2%,pH value 8.5,the average annual temperature of 14.5~21.9 ℃,extreme low temperature of not lower than-20 °. It is the vast geographical area Ascendens Mucronatum could grow normally,and performance stable.The introduction and cultivation of Ascendens Mucronatum clones are tested in Kunming and the results show that they have a strong ecological adaptability and resistance in Kunming as well and have become a new type of of Water Tolerant Tree species in Kunming.This paper further discussed issues as to establish Ascendens Mucronatum quality seedling nursery base in Kunming and to improve the ability of asexual reproduction through constructing a demonstration forest of Ascendens Mucronatum etc.
An attempt at ragged-right typesetting

Plain TEX (as well as L A TEX) provides the command \raggedright to typeset text unjustiﬁed , that is, only the left margin is straight, the right margin varies in its length and looks ragged. The command gives good results for narrow columns, for example, when it is applied in marginal notes and short quotations. However, its output addresses only the English tradition. For wider measures it produces the ragged-right output that is called “Rauhsatz” in German and not the more demanding “Flattersatz”. In this article we examine what recommendations are formulated by a German typographer to typeset text in “Flattersatz” and then make an attempt to capture these recommendations in TEX macros.
Topology Based Routing Protocols (TBRPs) for Ad Hoc Networks

– A selection of routing protocols explicitly tailored to this area has been developed and several output tests are made on the amount of routing protocols. FANET has the specific characteristics of mobile ad hoc networks (MANETs) and their subclasses, such as ad hoc vehicular area networks (VANETs) and sea ad hoc networks (SANETs). Details of the grouping, explanations and comparative analyses of relevant FANET routing protocols based on topology are given. The significance of this study is its value in offering a thorough overview of the existing routing protocols based on topology and objectively contrasting them according to various restrictions depending on main criteria and in this particular field of research, the presentation of the state of the art improved.
SuperB: Superior Behavior-based Anomaly Detection Defining Authorized Users’ Traffic Patterns

Network anomalies are correlated to activities that deviate from regular behavior patterns in a network, and they are undetectable until their actions are defined as malicious. Current work in network anomaly detection includes network-based and host-based intrusion detection systems. However, most of them suffer from high false detection rates due to the base rate fallacy. To overcome such a drawback, this paper proposes a superior behavior-based anomaly detection system (SuperB) that defines legitimate network behaviors of authorized users in order to identify unauthorized accesses. We define the network behaviors of the authorized users by training the proposed deep learning model with time-series data extracted from network packets of each of the users. Then, the trained model is used to classify all other behaviors (we define these as anomalies) from the defined legitimate behaviors. As a result, SuperB effectively detects all anomalies of network behaviors. Our simulation results show that the proposed algorithm needs at least five end-to-end conversations to achieve over 95% accuracy and over 93% recall rate. Some simulations show 100% accuracy and recall rate. Our simulations use live network data combined with the CICIDS2017 data set. The performance has an average of less than 1.1% false-positive rate with some simulations showing 0%. The execution time to process each conversation is 85.20±0.60 milliseconds (ms), and thus it takes about only 426 ms to process five conversations to identify anomaly.
Agrobacterium tumefaciens-mediated transformation of highly regenerable cell suspension cultures in Dianthus acicularis

Summary A successful transformation procedure using Agrobacterium-mediated gene transfer was established for the bacterial wilt-resistant Dianthus species, D. acicularis. Highly regenerable cell suspension cultures derived from calli, which originated from leaf segments, were infected with A. tumefaciens strain EHA101 (pIG121Hm) and co-cultivated for 2 d. After selection on medium with 30 mg l–1 hygromycin, approximately five hygromycin-resistant plants were obtained from 1 g fresh weight of cell culture. For the production of hygromycin-resistant calli, addition of acetosyringone to the co-cultivation medium was indispensable, with an optimum concentration of 200 µM. Hygromycin-resistant calli and plantlets showed stable and uniform GUS expression, and integration of the GUS gene into the plant genome was also confirmed by Southern blot analysis.These transgenic plants had a normal morphology, and no somaclonal variation was observed in their level of ploidy.
An unusual new species of Trevesia from Vietnam and its implications on generic delimitation in Araliaceae

Trevesia vietnamensis J. Wen & P.K. L? c (Araliaceae) is described as an unusual new species from northwestern Vietnam. This species has 4? 5-merous flowers with a 4-5-locular ovary and palmately compound leaves and would thus fit well within Brassaiopsis morphologically. Phylogenetic analysis using the nuclear ribosomal ITS and the chloroplast ndhF and trnL-F sequences, however, clearly places the new taxon in Trevesia, defined to include species with 6-16-merous flowers with 6-16-locular ovaries, and palmately lobed simple leaves. The discovery of Trevesia vietnamensis thus blurs the generic boundary between Trevesia and Brassaiopsis. The phylogenetic analysis suggests a sister-species relationship between Trevesia vietnamensis and T. lateospina from northern Thailand, a finding supported by a shared morphological character? the presence of setose hairs on the inflorescences and young stems. Trevesia vietnamensis is restricted to two localities in northwestern Vietnam. It grows in limestone areas in valleys and on shady mountain slopes at 500-700 m in primary, tropical, monsoon, broad-leaved forests.
Constraint bubbles and affine regions

We propose to enhance the capability of standard free-surface flow simulators with efficient support for immersed bubbles through two new models: constraint-based bubbles and affine fluid regions. Unlike its predecessors, our constraint-based model entirely dispenses with the need for advection or projection inside zero-density bubbles, with extremely modest additional computational overhead that is proportional to the surface area of all bubbles. This surface-only approach is easy to implement, realistically captures many familiar bubble behaviors, and even allows two or more distinct liquid bodies to correctly interact across completely unsimulated air. We augment this model with a per-bubble volume-tracking and correction framework to minimize the cumulative effects of gradual volume drift. To support bubbles with non-zero densities, we propose a novel reduced model for an irregular fluid region with a single pointwise incompressible affine vector field. This model requires only 11 interior velocity degrees of freedom per affine fluid region in 3D, and correctly reproduces buoyant, stationary, and sinking behaviors of a secondary fluid phase with non-zero density immersed in water. Since the pressure projection step in both the above schemes is a slightly modified Poisson-style system, we propose novel Multigrid-based preconditioners for Conjugate Gradients for fast numerical solutions of our new discretizations. Furthermore, we observe that by enforcing an incompressible affine vector field over a coalesced set of grid cells, our reduced model is effectively an irregular coarse super-cell. This offers a convenient and flexible adaptive coarsening strategy that integrates readily with the standard staggered grid approach for fluid simulation, yet supports coarsened regions that are arbitrary voxelized shapes, and provides an analytically divergence-free interior. We demonstrate its effectiveness with a new adaptive liquid simulator whose interior regions are coarsened into a mix of tiles with regular and irregular shapes.
Accuracy of Image Transforms in Feature Extraction for Multimodal Biometric Systems

​ —With an increased need for security in organisations around the world, it becomes necessary to have in place a system that is mostly foolproof, in order to prevent duping and unauthorised access to sensitive information. Each individual can be distinguished from another with biometric attributes, like the face, ﬁngerprint and iris scan. There exist two kinds of systems that employ varying numbers of these traits for veriﬁcation and recognition-unimodal and multimodal. Unimodal systems employ one trait, hence allowing easy misuse and duping. Multimodal systems, however, employ two or more of these traits. They allow access to a person only if they show a match all of the traits that exist for them in the database. In our project, we carried out fusion of four attributes-face, ﬁngerprint, knuckle print and iris scan, in order to exhibit veriﬁcation. We applied different transforms to the attributes and compared the results.
SYMPOSIUM: NUTRIENT UPTAKE ACROSS THE MAMMARY GLAND Amino Acid Transport Systems in Bovine Mammary Tissue 1

Nutrient provision to the lactating mammary gland involves three factors: blood nutrient concentration, blood flow, and cellular uptake. This paper reviews uptake of amino acids by bovine mammary tissue relative to interorgan blood flows, red blood cell contribution, arteriovenous differences, specific mammary amino acid transport systems, and glutathione and ~/-glutamyl transpeptidase. Recent studies with ruminant amino acid blood fluxes and the role of the red blood cell in providing nitrogenous substrates to tissues have brought to light new considerations of nutrient availability to mammary tissue. Previous studies measured arteriovenous differences to quantitate net amino acid uptake. These studies are considered relative to seven specific and separate amino acid transport systems, some of which have been identified in bovine mammary tissue. Uptake of sulfur amino acids by mammary tissue has been of interest because it appeared that insufficient quantities were provided during lactation. Glutathione, a tripeptide, may be a principle source of cysteine to mammary tissue via mechanisms involving ~,-glutamyl transpeptidase, glutathione, and red blood cells. The paper considers these mechanisms in relationship to amino acid transport systems.
Machine Learning for Multiple Stage Heart Disease Prediction

According to the Centers for Disease Control and Prevention (CDC), heart disease is the number one cause of death for men, women, and people of most racial and ethnic groups in the United States. More than one person dies every minute and nearly half a million die each year from it, costing billions of dollars annually. Previous machine learning approaches have been used to predict whether patients have heart disease. The purpose of this work is to predict the five stages of heart disease starting from no disease, stage 1, stage 2, stage 3, and advance condition or severe heart disease. We investigate different potential supervised models that are trained by machine learning algorithms and find out which of these models has better accuracy. In this paper, we describe and investigate five machine learning algorithms (SVM, LR, RF, GTB, ERF) with hyper parameters that maximize classifier performance to show which one is the best to predict the stage at which a person is determined to have heart disease. We found that the LR algorithm performs better compared to the other four algorithms. The experiment results show that LR performs the best with an accuracy of 82%, followed by SVM with an accuracy of 80% when all five classifiers are compared and evaluated for performance based on accuracy, precision, recall, and F measure. This predication can facilitate every step of patient care, reducing the margin of error and contributing to precision medicine. Lastly, this paper aims to improve heart disease prediction accuracy, precision, recall and F measure using UCI heart disease dataset. For this, multiple machine learning approaches were used to understand the data and predict the chances of heart disease in a medical database.
Les kystes ovariens dans l'espèce bovine 2. Rappels physiologiques et étio-pathogénie.

RESUME : Les nombreuses recherches echographiques relatives notamment a la dynamique de la croissance folliculaire et au kyste ovarien ont permis de mieux en preciser la pathogenie. Cette alteration du processus normal de la croissance folliculaire peut concerner les follicules en phase de recrutement, de croissance mais surtout en phase pre-ovulatoire durant particulierement les phases pubertaire et du post-partum.
Recent developments and ongoing trials in transplant oncology

Over the past two decades since the introduction of the Milan criteria, the field of transplant oncology has undergone a rapid development with a rising proportion of liver transplantations being performed for oncological indications. For many patients with liver tumours, transplantation represents the only chance for cure. However, many challenges remain, such as the adequate patient selection, management of post‐transplant recurrence and refinement of neoadjuvant treatment protocols. This review provides an overview of the current state of the art of liver transplantation for oncological indications such as hepatocellular carcinoma, cholangiocarcinoma, colorectal liver metastasis and metastatic neuroendocrine tumours. We also summarize the ongoing research and explore future trends. Clinical trials are currently studying new diagnostic modalities, innovative pharmacological treatments, novel surgical techniques, downstaging regimens and new indications for liver transplantation. These emerging results will continue to shape the field of transplant oncology and provide us with the necessary tools to better select, treat and follow patients with liver tumours qualifying for liver transplantation.