Miracle-dz/UniFAR-FTUs huggingface dataset:
Detecting motifs in biological networks by local concentration

: Studying the topology of biological networks by using statistical means has become a major ﬁeld of interest in the last decade. One way to deal with that issue is to consider that networks are built from small functional units called motifs , which can be found by looking for small subgraphs whose numbers of occurrences in the whole network of interest are surprisingly high [4]. Some of the existing methods compute a huge number of random networks with the same degree distribution as the biological one [4], but seem not to be tractable for motifs on more than four vertices. Others [2,5] rely on a sampling algorithm and the calculation of a Z-score. Nevertheless, the distribution of the number of small subgraphs is more heavy-tailed than a gaussian and therefore those methods may lead to false positives. Another issue is that a small graph can appear as over-represented in a network because it contains an over-represented subgraph, which is in fact the biological relevant structure. Moreover, Dobrin and al. [1] show that the motifs in the yeast transcriptional regulatory network aggregate. For both reasons, we will consider a new deﬁnition of a motif: given a small graph m and an occurence in the network of one of its subgraphs m ′ , we will look for an over-representation of the number of occurences of m extending the given occurence of m ′ . In other words, a motif will be deﬁned by a local over-representation rather than by a global one. In order to avoid time-consuming simulations, we also use a mixture model on graphs as the null model. The parameters of the mixture are estimated using new results on bayesian mixture models for graphs [3]. That approach allows us to developp a statistic which detects motifs avoiding false positives and with a signiﬁcant improvement in terms of running time. We apply it to the Yeast gene interaction data and show that the known biologically relevant motifs are found again and
Predictive value of CONUT score combined with serum CA199 levels in postoperative survival of patients with pancreatic ductal adenocarcinoma: a retrospective study

Background The preoperative controlling nutritional status (CONUT) score and serum carbohydrate antigen 199 (CA199) levels are individually correlated with the prognosis of pancreatic ductal adenocarcinoma (PDAC). The objective of this study aimed to investigate the efficacy of CONUT score and CA199 (CONUT-CA199) combination in predicting the prognosis of PDAC patients undergoing radical surgery. Methods We retrospectively analyzed the preoperative CONUT scores and serum CA199 levels of 294 patients with PDAC who underwent radical resection at the Affiliated Hospital of Southwest Medical University between March 2012 and July 2019. Patients were divided into four groups on the basis of their preoperative CONUT scores and serum CA199 levels: CONUTlow/CA199low (1), CONUTlow/CA199high (2), CONUThigh/CA199low (3) and CONUThigh/CA199high (4). The prognostic effects were compared among the groups. Results CONUThigh was more frequent in patients with positive peripancreatic infiltration and Clavien–Dindo classification of ≥IIIa (P < 0.001). Kaplan–Meier analysis revealed obvious difference in overall survival (OS) and recurrence-free survival (RFS) among patients with PDAC having CONUT-CA199 scores of 1, 2, 3 and 4 (P < 0.001). Peripancreatic infiltration, lymph node metastasis, pTNM stage, CONUT score, serum CA199 levels and CONUT-CA199 classification were found to be the independent prognostic factors for OS and RFS in multivariate analyses. In time-dependent receiver operating characteristic (ROC) analyses, the area of the CONUT-CA199 score under the ROC curve (AUC) was higher than that of the preoperative CONUT score or serum CA199 levels for the prediction of OS and RFS. Conclusion CONUT-CA199 classification may be more effective in predicting the postoperative prognosis of PDAC patients.
New Keynesian Phillips Curve and Inflation Dynamics in Brazil: An Identification-Robust Econometric Analysis

This paper assesses inflation determinants in Brazil by using identification-robust methods for the estimation of a New Keynesian Phillips curve (NKPC). Specifically, we utilize a procedure based on the generalized Anderson-Rubin (AR) statistic, proposed by Dufour et al. (2010a). Two hybrid NKPC specifications are investigated: one based on the assumption of rational expectations and one based on direct survey-based measures of inflation expectations. The results show that only the NKPC with market-based inflation expectations yielded point estimates for the Calvo parameter and for the average duration of prices, in line with the evidence obtained from the microdata. Also, the effects of expected inflation were statistically greater than those of past inflation only in the rational expectations model. In both models, there was no evidence of a significant effect of real marginal cost on current inflation.
Peerless Distributed Malware Detecting in Mobile Networks with Heterogeneous Devices

: In this project, we formulate an analytical model to characterize the spread of malware in mobile networks and to deploying an efficient defense system to protect and helps infected nodes. Using a compartmental model, we derive the system parameters or network conditions under which the mobile networks may reach a malware free equilibrium. Here we analyze in that mobile network how to distribute the signatures that is based on content. Which helps to detect the corresponding malware and disable further propagation used to minimize the infected nodes, here we propose the Encounter based distributed algorithm to achieve optimal solution. We show that the distributed algorithm achieves the optimal solution, and performs efficiently in realistic environments.
Functional diversity of five species of arbuscular mycorhizal fungi in symbiosis with Allium cepa L

The ability of arbuscular mycorrhizal (AM) to improve plant growth is largely study but due to their large distribution across agro-ecolycals region in the world, more work still necessary to understand their functioning according to their origin, host plant and strain. Nursery experiments were conducted to study the response of Onion (Allium cepa L.) plant to the inoculation of five arbuscular mycorrhizal (AM) from Cameroon and England. Onion plants grown in pots in sterilized soil/sand substrate were inoculated with Glomus hoï, Glomus clarum, Glomus intraradices, Glomus sp. and Gigaspora margarita provided by the Department of Biological Sciences, University York, England and the Soil Microbiology Laboratory of the Biotechnology Centre, University of Yaoundé I Cameroon. A total of 90 pots made up with 5 pots in 3 replications each corresponding to each AM strains and the control were range in green house condition and watered every day with sterilized water until harvest. Samples of root and shoot were collected for root lengh, nitrogen, phosphorus, plant biomass measurement and acid phosphatase activity determination. Data were analyzed using SAS system for differences between means and correlation between parameters. Results indicate that G. clarum, G. intraradices and G. hoï increased the root length and stimulated the acid phosphatase activity of roots from 62 to 86% as compared to the control without inoculation. All the fungi species enhanced the root surface from 70 to 118% over the control. G. clarum improved nitrogen and phosphate uptake by 35 and 290 mg/plant respectively, and thus, enhanced the dry weight of onion bulbs by 83% compared to uninoculated treatment at 90 days after planting. Acid phosphatases and root length are indicated parameters for such study.
Culture and Consumption: Values derived from attributes of Japanese Food

The Japanese immigrants in Brazil represent the second biggest Japanese descendent group out of Japan. The sushi and sashimi awakened the curiosity of Brazilian people generating a growing consumption of Japanese cuisine in many Brazilian restaurants. In order to analyse the culture consumption deployed from this habit, this article has the objective to identify the values linked to the attributes pointed by the consumers of Japanese food. The research applies the methodology of Theory of Means End Chain MEC. Within this perspective, product attributes allow the consumer to achieve certain benefits that are linked to a higher level, allowing the ranking of personal values. The laddering technique provided the construction of an implication matrix and the hierarchical value map, to confirm the main elements of such behavior. The survey results showed values such as openness, exciting life, satisfaction, pleasure, happiness, self-esteem and friendship. These values are important for the restaurant marketing actions.
Intracycle speed and coordination vs fatigue in swimming

Intracycle speed variations have been widely studied. However, few studies have focused on the fatigue effect on such intra-cycle speed in freestylers. The aim of this study was to analyse such effects. Hence, a synchronized speedmeter connected with a video camera was used and 17 swimmers were recorded with and without fatigue conditions. A complete cycle, four phases average speed and arms coordination were analysed in both conditions. There is a correlation of the average speed with phases 1 and 3 speed in both genders with and without fatigue. Also phase 2 speed in male and phase 4 in female swimmers are related to the average speed with fatigue. Coordination is related to the phase 4 in female swimmers with fatigue. Summarizing, the whole analysis of the partial speed and the coordination index gives us relevant information about intracycle kinematic responses of freestyle swimmers.
Uso actual de las tecnologías de información y comunicación en la educación médica

Las tecnologias de informacion y comunicacion siguen en constante desarrollo y su aplicacion se ha generalizado. La educacion medica no es ajena a este fenomeno por lo que es importante que tanto profesores como alumnos adopten estas herramientas para conseguir un proceso ensenanza-aprendizaje de calidad. Con este objetivo, se realizo una revision bibliografica actualizada de los conceptos mas relevantes con el tema y de uso actual en la educacion medica. Se puede apreciar una tendencia a la incorporacion de las nuevas tecnologias en la educacion medica rompiendo con los esquemas tradicionales de transmision de conocimientos. Los estudiantes deberan utilizar la computadora como un medio de investigacion, para obtener, generar e intercambiar informacion cientifica mas actualizada y continuar su proceso de educacion medica.
Antioxidant Properties and Alpha-Amylase Inhibition of Wild Blackberry Leaf

In this study, the possible antioxidant properties of ethanolic extract of wild blackberry leaves were investigated by using antioxidant assays including DPPH • scavenging and β-carotene bleaching method. The leaf extract was showed DPPH radical scavenging activity at the 100 μg/mL and above concentrations and inhibited lipid peroxidation at the high concentrations. The natural compounds known as potential antioxidants such as phenolics, flavonoids were also determined. Total phenolic content was determined using FolinCiocalteu method and was found to be 186.05±1.46 μg of gallic acid equivalents. Total flavonoid content was studied using AlCl3 reagent and was determined as 19.39±0.83 μg of quercetin equivalents. The different concentrations of leaf extract had α-amylase inhibitory activity in the range of 21 44 %. The observed inhibition effect against α-amylase could be due to phenolic contents of the plant. In conclusion, the leaves of wild blackberry may be used as a natural antioxidant source in both food and nutritional applications.
Integrity and Confidentiality for Skypilot Port Communication

: Wireless communication offers the benefits of low cost, rapid deployment, shared communication medium, and mobility, while at the same time has many security and privacy challenges. Dynamic Encryption Scheme, when used between two parties of communication, the former packets are coded as retransmission sequence, where as the retransmitted packet is marked as “1” and the other is marked as “0. ” During communication, the retransmission sequence is generated at both sides to update the dynamic encryption key. If retransmission sequence is missed or misjudged it would prevent the adversary from achieving the keys. The basic idea of dynamic secret is that the legitimate users dynamically generate a shared symmetric secret key utilizing the inevitable transmission errors and other random factors in wireless communication. At Chennai Port Trust the confidential information such as trading, banking transaction are communicated using wireless medium which utilizes unlicensed frequency, thus demanding for the secure transfer of data . The current scheme does not give appreciable performance thus demanding for a better secure and integrated communication. The problem with data transmission is mitigated by using Elliptic Curve Cryptography (ECC) algorithm which is being used for encryption and decryption. No node in between can read or views the data. Any node in between, which tries to read this information will not be able to do so because, the information will be encrypted using ECC. Therefore communication is secured as the data cannot be viewed while it passes through the intermediate nodes. Hence by this scheme secure communication is assured for the SkyPilot Port Communication.
REAL-TIME OPINION MINING OF TWITTER DATA USING FLUME AND HADOOP

— Today every internet user have a social account on which they share their opinions and communicate to each other. In all social sites Twitter is very popular on sharing the various user opinions towards a particular field. These twitter data is unstructured in nature so its hard to process with traditional tools. And also social websites like twitter , facebook, etc generates petabytes of data every day so storing these amount of data is also important. In these paper we proposed hadoop which is an open source framework used to stored and process huge amount of structured and unstructured data. In these we also propose various hadoop ecosystems which is used to fetch real time tweets and analyzing these data in efficient manner. Here we have used dictionary based approach for analysis for which we have implemented hive queries through which we can analysis these complex twitter data to check polarity of the tweets based on the polarity dictionary through which we can say that which tweets have negative opinion or positive opinion. Also we can perform some optimization to enhance query performance in hive.
Simulation-based team training in paediatric units

Background: Medically justifiable practice of health care requires collaboration between the health professionals involved, who must have excellent professional knowledge and practical training in teamwork. In recent decades, healthcare providers have undergone simulation training in realistic patient situations demanding complex decision-making and teamwork. The training was based on experiences with “Crew Resource Management” (CRM) used in civil aviation.
Influencing Factors for Illegal Driving Behaviors of Rural Bus Drivers

Received: 26 June 2019 Accepted: 21 October 2019 To improve the safety management of rural buses, this paper attempts to identify the factors affecting the drivers’ behavioral features and their illegal driving behaviors. From the perspective of driver psychology, the safety incentive (SI) index was introduced to improve the theory of planned behavior (TPB) model. Then, the authors verified the improved TPB model for the illegal driving behaviors of rural bus drivers. In addition, the influence mechanisms of several factors on the illegal driving behaviors were fully analyzed, namely, attitude toward the behavior (AB), subjective norm (SN), perceived behavioral control (PBC), and the SI. The results show that the rural bus drivers have not developed a correct understanding of illegal driving behaviors; the attitudes of families, friends and passengers can indirectly affect the driving behaviors; the PBC of the driver has a direct or an indirect influence on the illegal driving behaviors; the SI, as the additional index, has a significant inhibitory effect on illegal driving behaviors. Finally, it is advised to improve the safety management of rural buses by improving education and publicity, supervising the whole driving process, and perfecting the SI system.
HAEMATOLOGICAL PARAMETERS DYNAMICS OF DEVELOPING GALLUS

The blood parameters of 12 broiler chickens (Gallus gallus domesticus) were determined at the ages of 1, 3, 5 and 7 weeks old, for follow-up of the developmental dynamics in their haematological profile. Blood samples were collected from chickens at 7, 21, 35 and 49 days intervals. Total number of WBC, RBC, PCV, Hb, MCV, MCH, MCHC together with absolute count of differential leucocytes (neutrophils, monocytes, eosinophils, lymphocytes and basophils) was determined. Significant age effects (p<0.05) was observed on RBC, PCV, Hb, MCV, MCH, MCHC and WBC. With increasing age, Hb, PCV, MCV, MCH and WBC increased significantly and RBC decreased significantly (p<0.05), while MCHC and differential leucocyte count had no significant variation (p>0.05). Advancement of age led to increasing body weight. There was a high correlation between body weight and some blood parameters of the broiler chicken. Weight accounted for 19.79 %, 11.87 %, 37.49 %, 36.09 %, 34.92 % and 25.77 % of the variations in PCV, Hb, RBC, WBC, MCV and MCH respectively. Age therefore has effects on the haematological parameters and also determines the body weight of broiler chicken (Gallus gallus domesticus).
Artificial Intelligence-Based Eyefeature Imaging for Early Diabetes Aided Diagnostics

Background: Current blood glucose level detection-based diabetes clinical diagnosis requires continuous invasive blood collection and causes great harm to the human body. Fundus-imaging based diabetes diagnosis requires a complex and expensive system for detection. Methods: In this paper, an artificial intelligence (AI)-based eye feature imaging system is proposed to acquire high definition sclera images, extract eye features, and assess the statistically significant association between eye features and diabetes. Results: With the AI system, eye feature images of177 subjects (include 127 diabetics and 50 general controls) were analyzed, and the accuracy of diabetes diagnosis obtained was >84.9% from the sclera images of patients showing “Yellow Area”, “Gray Speck”, “Spot”, “Hillock”, and “Moon Halo” in their sclera. Moreover, as the levels of triglyceride in the diabetics increased, “Yellow Area” features intensified in both size and color. Conclusion: This study provides a noninvasive, simple, and low cost method for early diabetes diagnostics and complication risk assessment, which is of vital importance in clinical medicine.
A Stochastic Approach to Estimate Uncertainty in Pollutant Concentrations in an Archetypal Chilean House

As policy makers strive to reduce the energy demands of houses by reducing infiltration rates, an unintended consequence could be a fall in the quality of indoor air with corresponding negative health effects at a population scale. Measuring pollutant concentrations in-situ is difficult, expensive, invasive, and time consuming and so the simulation of indoor conditions, using representative models of a housing stock, is a more common method of investigation. The AIVC asserts that fine particulate matter (PM2.5) from indoor sources poses the greatest risk to the health of occupants of dwellings. Accordingly, this paper uses a stochastic modelling approach to assess the relative influence of several sources of PM2.5 in the housing stock of Santiago, Chile. A single multi-zone archetype is modelled in CONTAM where model inputs are randomly varied between known limits to produce a distribution of mean PM2.5 concentrations over the heating season weighted by the time spent in the kitchen, living rooms, and bedrooms (PM . ). Ambient air is only exchanged by infiltration. Three sources of PM2.5 are investigated: a heater commonly found in Chile that burns wood or paraffin, the cooking of meals, and the toasting of bread. A range of data sources are used to inform environmental, geometric, physical, and pollutant data inputs, and a sensitivity analysis is used to rank them by their influence on the model output. The median PM . in Santiago houses over the heating season is predicted to be 107μg/m3: 90% credible intervals [5, 883μg/m3]. The WHO annual mean average threshold is exceeded in 77% of houses and so they could require remediation measures to protect occupant health. Cooking is shown to be the most important model input and so at-source interventions, such as a range hood, may be the most appropriate. The modelling approach can now be expanded to consider a more archetypes and pollutant sources, to give a better indication of the uncertainty in pollutant concentrations found in Chilean houses. The outputs can be used to inform future standards and guidelines for Chilean houses that simultaneously focus on energy demand reduction and occupant health.
THE MODERATING EFFECTS OF LEVERAGE AND OWNERSHIP STRUCTURE ON FIRM PERFORMANCE

This study investigates the effects of leverage and ownership structure as moderating effects between R&D expenditures and firm performance. Leverage is important for a firm to complete innovation and ensure the financial resources required to launch new products. Ownership structure has the capability to diversify their investments and encourage the invested companies to pursue the projects with prospects. The results indicate leverage and ownership structure moderated R&D expenditures and financial leverage based 336 information technology firms. A noteworthy result is that ownership structure has a positive effect on R&Dperformance relationship. However, leverage has a negative effect on the relationship between R&D and firm performance.
An overview on the prospective CDKs inhibitors as anti-cancer drugs : Review article

CDKs are members of serine/threonine kinase family and key enzymes in cell cycle progression and transcription and other major biological processes including neural differentiation and metabolism. Constitutive or deregulated hyperactivity of these kinases due to amplification, over expression or mutation of cyclins or CDK, contributes to proliferation of cancer cells, and irregular activity of these kinases has been reported in a wide variety of human cancers. Therefore, CDKs considered as attractive pharmacological targets for development of anticancer therapeutics. This review first summarizes the different functions of CDKs and the biological structure of CDKs, cell cycle and their role in cell cycle regulation. Then it focuses on CDKs inhibitors as anticancer and the different strategies in developing it, CDK2 inhibitors that inter clinical trials and CDK4/6 inhibitors that in the way of approval have been discussed. Future perspective of CDKs inhibitors as anticancer will be defined in the development of new target CDK1and CDK9 inhibitors. [Khulood H. Oudah, Nermin S. Abdou, Rabah A. T. Serya and Khaled A. M. Abouzid. An overview on the prospective CDKs inhibitors as anti-cancer drugs: Review article. J Am Sci 2017;13(4):6-23]. ISSN 1545-1003 (print); ISSN 2375-7264 (online). http://www.jofamericanscience. org. 2. doi:10.7537/marsjas130417.02.