Miracle-dz/UniFAR-FTUs huggingface dataset:
Aterotrombotik hastal›klarda güncel bir sorun-aspirin direnci: Tan›m›, oluflum mekanizmalar›, laboratuvar

Aspirin (asetilsalisilik asit), aterotrombotik kardiyovasküler olaylar›n önlenmesinde kullan›lan güçlü bir antiagregand›r. Ancak aspirinin antiagregan etkinli¤i tüm hastalarda ayn› düzeyde görülmemekte ve baz› hastalar aspirinden yararlanamamaktad›r. Bu hastalar klinik olarak aspirin direnci olan hastalar veya aspirine yan›ts›z hastalar olarak adland›r›lmaktad›r. Aspirin direnci; kanama zaman›, optik agregometri, PFA-100 (trombosit ifllev inceleyicisi), Ultegra-RPFA (h›zl› trombosit ifllev testi), aktive p›ht›laflma zaman›, tam kan agregometrisi, trombosit agregasyon oran›, ak›m sitometrisi, kan veya idrar tromboksan B2 düzeyi ve trombosit yüzey proteinlerinin ölçümü gibi yöntem ve cihazlar ile belirlenebilmektedir. Oluflum mekanizmalar› henüz tam olarak ayd›nlat›lamam›fl olup bu konuda çok say›da araflt›rma yürütülmektedir. Aspirin direncinin klinik kardiyovasküler olaylarda art›fla yol açabilece¤ine iflaret eden çal›flmalar yay›nlanmaktad›r. Bununla birlikte aspirin direnci olan hastalarda tedavi alternatifleri üzerinde veya aspirin direnci saptanan olgularda majör kardiyovasküler olay riskini azaltacak medikal tedaviler üzerinde henüz yeterli bilgi bulunmamaktad›r. (Anadolu Kardiyol Derg 2007; 7 Özel Say› 2; 20-6) Anahtar kelimeler: Aspirin, aspirin direnci, platelet fonksiyon testleri ÖZET Burak Pamukçu, Hüseyin Oflaz, Y›lmaz Niflanc›
DNA-Based Rapid Methods for the Detection of Foodborne Pathogens.

The reports of foodborne illnesses are increasing and rapid, sensitive and reliable methods to detect and identify foodborne microorganisms are needed. This review encompasses a description of recent technologies upon which DNA detection methods are based. This review also provides current information on hybridization assays developed or under study for application in food microbiology. Literature pertaining to some of the most common foodborne microorganisms, including Salmonella spp. , Shigella spp. , Listeria spp. , Escherichia coli , and Yersinia enterocolitica is emphasized.
Targeted Therapy in Liver Tumor: Study on Nanoparticle Assisted with Porous Liver Model

The high performance of Microwave ablation (MWA) is measured by the successful coagulate of the target tissues with less effect on the surrounding healthy tissues. To achieve this goal, the precious porous liver model is used for simulation to investigate how the performance improves when two key properties, thermal and electrical conductivity, have been changed. The investigation of selected nanoparticle, Carbon Nanotube (CNT), also has been included. The result has shown that increased thermal and electrical conductivity of target tissue in the porous liver promotes a higher heating rate and lower maximum temperature when compared with the normal porous liver tissue condition. The MWA performance improved when the selected nanoparticle CNT was included, producing an improved lesion shape with a short tail when compared with normal tissues. In summary, this study gives the necessary aspect for knowledge of enhancing the MWA process and can be used as a guideline to enhance the MWA efficacy.
A Graph Theoretic Model for Semantic Annotation of Articulated Shape-Parts using Zernike Moment based Features

In this paper, we attempt to solve the problem of automated semantic part annotation for articulated objects. This kind of problem is more challenging than standard object detection, object segmentation and pose estimation tasks because semantic parts of articulated objects often have similar appearance andvarying positions. To tackle these challenges, we build a graph theoretic decomposition model to represent the structural composition of semantic parts. We determine features of decomposed shape-parts using Zernike moments and these features undergo ANN based training process to generate shape-annotation model. Our experiment is conducted on well-known MPEG-7 shape data set. The performance of our proposed model is compared with human perception based annotation and the experimental results indicate that our model is capable of achieving promising performance.
Unravelling diverse roles of strigolactones in stimulating plant growth and alleviating various stress conditions: A review

Strigolactones (SLs) are carotenoid derived root exudates, recently classified as phytohormones, play important role in plant growth and development via complex signalling pathways, involving other phytohormones too. Based on relevant literature, this review evinces on role of SLs in stimulating the hyphal branching of AM fungi and various other plant development stages like seed germination, shoot branching, tillering, nodulation, root architecture, and highlights various researches carried out to support the role of SLs in regulating the plant growth under nutrient deficient conditions, drought and salt stress, ROS, temperature variations and, to some extent, biotic stresses for future agriculture. Versatile nature of SLs un-wraps various possibilities for their enactment in future agriculture, however, a more comprehensive knowledge on signalling and regulation mechanisms is required to exploit the full
Correlation of HIV progression with absolute CD4 T-Lymphocyte count and red blood cell indices among HIV-Positive patients on art and art-naive problem.

Background: Human immunodeficiency virus (HIV) is characterized by progressive damage to the body’s immune system which results in a number of opportunistic infections, immunological and haematological complications.The most important biomarkers of disease stage and progression in patients with an HIV infection are the CD4 count and viral load. However, red blood cell indices and some other haematological parameters reflect the degree of HIV disease progression. Aim: To Correlate HIV progression with CD4 T-Lymphocyte Count and Red Blood Cell Indices among HIV-Positive Patients on ART and ART-Naive. Methodology: The study was a cross sectional study conducted at Federal Teaching Hospital (FETHI), IdoEkiti. Two hundred samples were collected from consented HIV patients, grouped as one hundred (100) HIV positive subjects on ART, one hundred (100) HIV positive subjects ART naive. Each group was classified into three stages of HIV infection using their CD4 values according to Centers for Disease Control as follows: Stage-1 CD4 ≥ 500 cells/uL, Stage-2: CD4 200–499 cells/uL and Stage-3: CD4<200 cells/uL. Three milliliters (3ml) of whole blood was collected and dispensed into 5ml K2EDTA bottle for immediate analysis of haematological parameters using haematology analyzer, CD4 count was analyzed using flow cytometer and subjects sample were re-screening for HIV using serial algorithm method. Results: Mean values of RBC indices in CD4 stages<200 were lower compared to CD4 stages 200-499 and CD4 stages>500 among ART and ART-naive. There is significant difference (p<0.05) in red cell indices of ART and ART-naive. Conclusion: This study established correlation between absolute CD4 T-Lymphocyte count and red blood cell indices among HIV-positive patients on ART and ART-Naive as HIV-infection progresses.
How to create a transdisciplinary research project ? Strategic delta planning project set -

Transdisciplinary research (TR) = a team that works on (i),(ii),(iii)  (iv) Poster’s objective is to share our experiences of conducting TR research (upper part) and recommendations to keep it running (lower part of poster). Transdisciplinary research according to Pohl (2005) takes into account (a) the complexity of an issue, (b) science’s and society’s diverse perspectives on that issue, (c) involves non-scientists and members of different sicentific disciplines, and (d) aims for practically relevant knowledge that (e) can contribute to an improvement of the status quo. Our project is part of the Urbanising Deltas of the World Program, funded by the Dutch Organisation for Scientific Research (NWO). Project runs from 2014 to 2019, has a budget of ~0.9 million EU. Our project team consists of people working in acdemia (IHE Delft, Wageningen University, Delft University of Technology, Bangladesh University of Engineering Technology, Khulna University), applied research and environmental consultancy (WACC, CEGIS, Deltares, PBL, Bosch+Slabbers), and advocacy (IUCN Vietnam).
PHYSICAL TRAINING IMPROVES SWIMMING PERFORMANCE OF THE AFRICAN CLAWED FROG XENOPUS LAEVIS

ABSTP.ACT: The African clawed frog, Xenopus laevis, was studied in experiments designed to examine the effect of daily repetition of a locomotor task on the time required to perform that task. Frogs forced to swim a 1.5 m sprint on 18 consecutive days decreased the time required to swim that distance during the first few days of training to 70% of the initial value. Frogs forced to swim 51 m on 56 consecutive days decreased the time required to swim that distance an average of 0.72 s d-1. By the end of their training program the performance time averaged 70% of its initial value. Frogs trained for endurance accumulated less lactate in muscle than untrained frogs performing the same swimming task. Untrained frogs depleted muscle glycogen during exercise, while trained frogs had low concentrations of glycogen in muscle and did not deplete it during exercise. Neither training nor exercise affected liver glycogen concentration, heart mass, or muscle citrate synthase activity.
Financial Trading Strategy System Based on Machine Learning

The long-term and short-term volatilities of financial market, combined with the complex influence of linear and nonlinear information, make the prediction of stock price extremely difficult. This paper breaks away from the traditional research framework of increasing the number of explanatory variables to improve the explanatory ability of multifactor model and provides a new financial trading strategy system by introducing Light Gradient Boosting Machine (LightGBM) algorithm into stock price prediction and by constructing the minimum variance portfolio of mean-variance model with Conditional Value at Risk (CVaR) constraint. The new system can capture the nonlinear relationship between pricing factors without specific distributions. The system uses Exclusive Feature Bundling to solve the problem of sparse high-dimensional feature matrix in financial data, so as to improve the ability of predicting stock price, and it can also intuitively screen variables with high impact through the factor importance score. Furthermore, the risk assessment based on CVaR in the system is more sufficient and consistent than the traditional portfolio theory. The experiments on China’s stock market from 2008 to 2018 show that the trading strategy system provides a strong logical basis and practical effect for China’s financial market decision.
A Study on Positive and Negative impacts of Wearable Technology using Neutrosophic Cognitive Map Approach

: A word technology becomes Smaller, Smarter and integrated into everything. The term Wearable Technology is a category of technological devices that can be used by consumers and also track the information’s associated with privacy, health and fitness issues. Some other type of wearable gadgets is a small notion of sensors to capture photos and synchronize with phones. Wearable Technology has been beneficial in various fields such as medicine, media, business, artificial Intelligence and rehabilitation etc., but there is always a drawback behind every development because a coin has two sides. The generalized concept of Fuzzy Cognitive Map which is Neutrosophic Cognitive Map (NCM) technique is to deal the concept of indeterminacy instead of merely positive and negative influences which was introduced by Florentin Samarandache and W.B. Vasantha Kandasamy. In this research work NCM has been discussed to study the Boon and Bane of Wearable Technology.
An Optimal Channel Selection Policy Based on POMDP for Maximizing Secondary User Performance in Cognitive Network

: In the absence of primary users, cognitive radio allows the secondary users to access the “underutilized” primary user band. Whenever the PU need of its bands, SU is interrupted from its data transmission. Periodic Spectrum Sensing (PSS) scheme degrades the QoS of the SU by interrupting its data transmission over the entire PU band. To alleviate this problem, the PU band is divided into two sub bands. One for continuous spectrum sensing and the other for SU data transmission, Based on this band division two schemes are proposed, a delay oriented continuous spectrum sensing (DO-CSS) scheme and throughput oriented continuous spectrum (TO-CSS) scheme. In the DO-CSS scheme, the average SU transmission delay is reduced by proper selection of bandwidth for spectrum sensing within each frame. In the TO-CSS scheme the achievable average throughput of the SU is maximized by choosing the optimal sensing bandwidth within multiple adjacent frames. The throughput is further improved by using an optimal sensing channel selection policy based on partially observable markov decision process.
Protein-Bound Iodine and Protein Concentration in Plasma and Pericardial Fluid of Metamorphosing Anuran Tadpoles

In the field of amphibian metamorphosis it has commonly been assumed that changes occur in the circulating levels of thyroid hormones during metamorphosis and that similar changes occur at the tissue level, causing metamorphic changes (Etkin and Gilbert 1968). Quantitative changes in the circulating hormones are said to occur during anuran larval development (Etkin 1964, 1968), with evidence coming from the histology and cytology of the pituitary and thyroid, I131 uptake by the thyroid, thyroid hormone concentration in the thyroid, and studies on tadpoles immersed in various concentrations of thyroid hormones. The immersion studies on thyroidectomized and hypophysectomized animals by Etkin (1935, 1964) demonstrated that the amount of thyroid hormone available externally had to be markedly increased at metamorphic climax in order to reproduce normal metamorphosis. Etkin (1935) assumed that thyroxine concentration in tadpole blood is directly proportionate to that in the surrounding medium. Yet it appears from the work of Saxen et al. (1957a, 1957b) that, although PBIz31 released by the thyroid was increased at metamorphic climax, the total amount released was not sufficient to drastically increase the amount of PBI in anuran larvae tissue at climax. Not until after metamorphic climax is there a significant rise in hormone concentration in the whole animal. Further, the PBI levels of froglets are twice as high 4 weeks after metamorphosis as the levels observed during metamorphic climax. The present study was undertaken to determine whether the circulating levels of thyroid hormones change in anuran metamorphosis, as has been presumed, and whether such changes must be made in every tadpole before normal metamorphosis occurs. An attempt is also made to determine the relationship between blood and the other body components. Pericardial fluid was chosen because sufficient amounts could be obtained from the same animals in which plasma PBI determinations were performed and because the amount of blood contamination present was very low.
IoT-Botnet Detection using Long Short-Term Memory Recurrent Neural Network

— IoT (Internet of Things) provides unique identifiers and the facility to convey data across a network without requiring human-to-computer or human-to-human interaction. It is one of the most fast-evolving technologies nowadays. The positive influence of the IoT toward governments, citizens, and businesses is being significant. IoT comes with significant security concerns that need to be addressed. One of the serious security threats in network security is IoT-Bot. In past years many techniques are being practiced to detect IoT-Bot in a network. This paper explains the detection of IoT-botnet using a deep learning-based LSTM RNN (Long Short-Term Memory Recurrent Neural Network) model. The accuracy of this model is then compared with the SVM (Support Vector Machine), LR (Linear Regression), and KNN (K-Nearest Neighbors) model. UNSW-NB15 dataset is used for training and testing the model. The dataset contains 9 types of attack categories. The accuracy of this proposed model is very high. This can further be extended to work in real-time botnet detention. Wireshark can be used to collect real-time network traffic and detect IoT-Bot in a network.
Stimulation of Innate Immune Cells Induced by Probiotics: Participation of Toll-Like Receptors

Objective: The present work aimed to study the functionality of macrophages from different locations (peritoneum, spleen and Peyer´s patches) when they were stimulated with probiotics microorganisms: Lactobacillus casei CRL 431 and Lactobacillus paracasei CNCM I-1518 or a Probiotic Fermented Milk (PFM) through Toll-Like Receptors (TLRs), prior challenged with agonists or antagonists of TLRs. Methods: BALB/c mice received in the drinking water, the probiotic bacteria (L. casei CRL 431 and L. paracasei CNCM I-1518) or the PFM. We focused our investigation mainly on the phagocytic activity of macrophages from peritoneum, spleen and Peyer’s patches and cytokine production were evaluated prior challenged with TLR2 and TLR4 agonists or antagonists. The microbicidal activity of macrophages and against an infection with Salmonella typhimurium was also studied. To assess the role of TLR in probiotic stimulation, we evaluated the phagocytic activity, cytokine production and Immunoglobin G (IgG) anti-OVA in C57BL/6 knockout mice to MyD88, TLR2 and TLR4. Results: In BALB/c mice, the best effect in the phagocytosis assay was obtained with the probiotic bacteria L. casei CRL 431, this effect was reinforced with TLR2 agonist. The production of different cytokines (IL-10 and IL-6) was improved with the probiotic treatments and this production was ameliorated with TLRs agonists. The antimicrobial activity was increased with L. casei CRL 431 and L. paracasei CNCM I-1518, TLR2 and TLR4 antagonists had a negative effect on microbicidal activity. The administration of probiotic bacteria or PFM improved the host response against S. typhimurium controlling the infection during the first hours post-infection. In C57BL/6 knockout mice, phagocytic activity was significantly diminished in comparison to wild type mice and the probiotic bacteria or PFM administration was not able to improve this activity. The IL-10 production was increased at a concentration of 108 cells/ml of L. casei CRL 431 in TLR2-/- and TLR4-/-, but not in MyD88-/- mice. The administration of probiotic bacteria or PFM did not play a stimulating effect in the systemic immune response against to OVA antigen in knockout mice. Conclusions: Probiotics modulate the different signaling pathways of innate immune cells through the TLRs. The macrophages activation depends on location of them and that different probiotic strains of Lactobacilli can evoke different intensity of responses. The data suggest that probiotic not only promote a major expression of TLRs but also use these receptors via the innate immune cells as macrophages to stimulate and modulate the immune response.
Diversity of Acidophilic Bacteria and Archaea and their Roles in Bioremediation of Acid Mine Drainage

E-mail address: xyz@abc.com. DIVERSITY OF ACIDOPHILIC BACTERIA AND ARCHAEA AND THEIR ROLES IN 1 BIOREMEDIATION OF ACID MINE DRAINAGE 2 3 Fashola, Muibat Omotola, 1 Ngole, Veronica, 2 Babalola, Olubukola Oluranti 1 4 1. Department of Biological Sciences, Faculty of Agriculture, Science and Technology 5 North-West University, Mafikeng Campus, Private Bag X2046 Mmabatho 2735 6 2. Department of Crop Sciences, Faculty of Agriculture, Science and Technology 7 North-West University, Mafikeng Campus, Private Bag X2046 Mmabatho 2735 8 9 10 . 11 ABSTRACT 12 13 Aims: To show the potential of acidophilic bacteria and archaea in bioremediation of acid mine drainage. The Mining industry generates wealth, but its long term adverse effects, which include acid mine drainage (AMD), cannot be overlooked. Acid mine drainage occurs as a result of biological and chemical oxidation of sulphide containing minerals with consequent production of acidic metal rich effluents. AMD is a serious environmental pollution problem in both active and abandoned mines worldwide, resulting in continual contamination of surface and groundwater resources with heavy metals. Acidophilic bacteria and archaea have been known to contribute to the accentuation of this problem by speeding up the reaction time for biological oxidation of sulphide containing mineral waste rock. The dominant metal present in AMD is iron with high sulphate content; the iron may be present in either ferrous or ferric form or both depending on the water pH. Reduction of these two important constituents by generating alkalinity through chemical or biological means has been reported to have a significant effect in AMD impacted water. The metabolic activities of the acidophilic bacteria and archaea through ferric iron and sulphate reduction, a natural attenuation process, also help in remediating this pollution problem by generating alkalinity that immobilizes metals thereby reversing the reactions responsible for the genesis of AMD. This article reviews the various groups of the acidophilic prokaryotic microorganisms and their metabolic activities that help in remediating the problem of AMD in gold mines.
Pecan Production Responds to Root Carbohydrates and Rootstock

The problematic alternate-bearing characteristic of pecan [Carya illinoensis (Wangenh.) C. Koch] has prompted an investigation of the role of rootstock and carbohydrate concentrations in tree organs in relation to nut production. Six years of data on the influence of open-pollinated pecan rootstocks on in-shell nut production by 80- year-old trees of ‘Stuart’ of ‘Schley’ scion cultivars provide evidence that rootstocks may influence yield, yield efficiency, and alternate bearing and that yield is closely associated with January root starch concentrations. Several “superior” trees, possessing greater-than-average nut yields and less-than-average alternate-bearing intensity, were identified as candidates for improved pecan rootstocks, indicating a projected frequency of ≈5% for the occurrence of superior rootstocks.
Capsaicin Is a Negative Allosteric Modulator of the 5-HT3 Receptor

In this study, effects of capsaicin, an active ingredient of the capsicum plant, were investigated on human 5-hydroxytryptamine type 3 (5-HT3) receptors. Capsaicin reversibly inhibited serotonin (5-HT)-induced currents recorded by two-electrode voltage clamp method in Xenopus oocytes. The inhibition was time- and concentration-dependent with an IC50 = 62 μM. The effect of capsaicin was not altered in the presence of capsazepine, and by intracellular BAPTA injections or trans-membrane potential changes. In radio-ligand binding studies, capsaicin did not change the specific binding of the 5-HT3 antagonist [3H]GR65630, indicating that it is a noncompetitive inhibitor of 5-HT3 receptor. In HEK-293 cells, capsaicin inhibited 5-HT3 receptor induced aequorin luminescence with an IC50 of 54 µM and inhibition was not reversed by increasing concentrations of 5-HT. In conclusion, the results indicate that capsaicin acts as a negative allosteric modulator of human 5-HT3 receptors.