Miracle-dz/UniFAR-FTUs huggingface dataset:
Survival study of leukoplakia malignant transformation in a region of northern Spain

Background Oral leukoplakia is the most common potentially malignant disorder (PMD) of the oral cavity. The objectives of this study are to determine the clinicopathologic features in a group of patients with oral leukoplakia of Northern Spain (Galicia), determining the factors associated to clinical risk and analyzing the malignant transformation of these patients. Material and Methods We included 85 patients. We recorded sex and age, habits like alcohol and tobacco, size, clinical appearance, site, number of lesions, and presence or absence of dysplasia. We assess the association between risk factors and transformation and developed a logistic regression analysis. Finally we used the Kaplan-Meier and log-rank test for the survival analysis. Results 7 patients (8.2%) had malignant transformation. The mean follow-up of the patients was 4.13 years versus 5.58 years of those who developed carcinoma. Only location and initial dysplasia have a statistically significant relationship with malignant transformation, but when applied the long rank test only the presence of dysplasia remains statistically significant(P<0,026). Oral Cancer Free Survival was 81.9% (0.150) at 11 years for the group without dysplasia. Conclusions We found that the presence of dysplasia is the only risk factor that is statistically related to the development of a carcinoma. Key words:Leukoplakia, oral cancer and oral precancer, follow-up, malignant transformation.
Fusion of heterogeneous remote sensing images by credibilist methods. (Fusion d'images de télédétection hétérogènes par méthodes crédibilistes)

With the advent of new image acquisition techniques and the emergence of high-resolution satellite systems, remote sensing data to be exploited have become increasingly rich and varied. Their combination has thus become essential to improve the process of extracting useful information related to the physical nature of the observed surfaces. However, these data are generally heterogeneous and imperfect, which poses several problems in their joint treatment and requires the development of specific methods. It is in this context that falls this thesis that aimed at developing a new evidential fusion method dedicated to heterogeneous remote sensing images processing at high resolution. In order to achieve this objective, we first focus our research, firstly, on the development of a new approach for the belief functions estimation based on Kohonen’s map in order to simplify the masses assignment operation of the large volumes of data occupied by these images. The proposed method allows to model not only the ignorance and the imprecision of our sources of information, but also their paradox. After that, we exploit this estimation approach to propose an original fusion technique that will solve problems due to the wide variety of knowledge provided by these heterogeneous sensors. Finally, we study the way in which the dependence between these sources can be considered in the fusion process using the copula theory. For this reason, a new technique for choosing the most appropriate copula is introduced. The experimental part of this work isdevoted to land use mapping in case of agricultural areas using SPOT-5 and RADARSAT-2 images. The experimental study carried out demonstrates the robustness and effectiveness of the approaches developed in the framework of this thesis.
Survey of memory streaming techniques for virtual machine in cloud environment

Cloud computing in these days is the top most area of research because of the major concerns as reducing costs, and also scalability and flexibility of in computing services. The performance of cloud environment is depends upon virtual machines and its memory management. This paper surveys the various memory streaming techniques managed by hypervisor to improve the performance, scalability of virtual machines and optimum utilization of resources and ultimately reducing cost. Researchers are doing research to collect the hypervisor memory management techniques like live migration, cloning, page sharing, read cache and many more to do the memory streaming for virtual machines in cloud environment. If all the memory management techniques clubbed together then in both public and private cloud environment one can scale virtual infrastructure rapidly with reducing memory requirement and overhead.
Real or Fake: Mobile Device Drug Packaging Authentication

Shortly, within the member states of the European Union a serialization-based anti-counterfeiting system for pharmaceutical products will be introduced. This system requires a third party enabling to track serialized and enrolled instances of each product from the manufacturer to the consumer. An alternative to serialization is authentication of a product by classifying it as being real or fake using intrinsic or extrinsic features of the product. Thereby, one approach is packaging material classification using images of the packaging textures. While the basic feasibility has been proven recently, it is not clear if such an authentication system works with images captured with mobile devices. Thus, in this work mobile drug packaging authentication is investigated. The experimental evaluation provides results on single- and cross-sensor scenarios. Results indicate the principal feasibility and acknowledge open issues for a mobile device drug packaging authentication system.
Serum ghrelin response to long-term regular exercise is not related to dynamic lung volumes in mild to moderate asthma

Ghrelin, a 28-amino-acid peptide, is known to be associated with obesity and diabetes, although no direct evidence is currently available regarding its role in asthma. The purpose of this study was to compare serum ghrelin between sedentary adult men with mild to moderate asthma (n=28) and healthy (n=15) subjects matched for age (38 ± 6 year), height (174 ± 7 cm) and BMI (32 ± 5.2 kg/m2) that participated in this study By accessible sampling. Asthma patients were divided into experimental (exercise) and control (no training) groups by randomly. At first, fating blood samples were collected in asthma and none-asthma participant in order to comparing serum ghrelin between them. Blood samples were repeated in experimental and control groups of asthma patients after an aerobic exercise program (60 min, 3 days/week for 3 months) for determine serum ghrelin response to exercise training. Spirometry test was performed before and after exercise program in two asthmatic groups. Statistical analysis was performed with the SPSS software version 15.0 using an independent paired t-test. At baseline, serum ghrelin levels were significantly higher in asthma patients in comparison to healthy subjects. Compared to pre-training, the ghrelin levels decreased (P<0.01) and respiratory functional increased (p˂0.05) significantly after exercise program in the experimental but not in the control groups. There were no correlations between serum ghrelin concentrations and spirometry markers in
A novel air writing recognition system using Raspberry Pi for the control and interaction of digital systems

In this work, a finger writing system was designed that displays the data written in the air without the need for an extra handheld device. It will be very useful for remote applications. Here a camera used to capture the finger movements. The captured images are processed by using open CV. This is an embedded based device, it has GUI. The hardware used for this device is Raspberry Pi board, UVC Driver Camera, Keyboard, Display Unit, Mouse and an SD card. SD Card is needed for loading the OS required for operating the Raspberry Pi. The Software used for this device is Linux OS, Open CV for image processing, and Qt for designing the GUI. The used webcam has the capability to capture 30 Frames per second. The writing speed depends on the Processor capability to process the images. One can save the images on the HTML page.
Impact of Food Intake on Nutritional Status, Serum Calcium and Serum Iron of Children from 0 to 5 Years in Abidjan

The aim of this study is to contribute to improve the nutritional status of children under 5 years old in six districts of the city of Abidjan (Abobo, Koumassi, Yopougon, Treichville, Marcory and Cocody). This study was conducted on a cohort of 480 children at the rate of 80 children per municipalities. The results showed a negative correlation (p <0.005) between the increase in macronutrient intake and prevalence of protein-energy malnutrition. The iron status of children is negatively affected by higher intakes of fiber, phytates and polyphenols (p <0.005). However, higher intakes of vitamin C and iron are associated with higher serum iron with respective positive correlation R2 = 0.903 for iron and R2 = 0.563 for vitamin C (p <0.005). Contrary to the serum iron, serum calcium concentrations remain constant regardless of the contributions in anti-nutritional factors and nutrients to improve it, such as vitamin C and calcium.
Editing of an Alpha-Kafirin Gene Family Increases, Digestibility and Protein Quality in Sorghum1[OPEN]

Single-consensus guide RNA partially reduces kafirin levels in Sorghum bicolor grain, leading to an increased proportion of non-kafirins and improved digestibility and protein quality. Kafirins are the major storage proteins in sorghum (Sorghum bicolor) grains and form protein bodies with poor digestibility. Since kafirins are devoid of the essential amino acid lysine, they also impart poor protein quality to the kernel. The α-kafirins, which make up most of the total kafirins, are largely encoded by the k1C family of highly similar genes. We used a clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9) gene editing approach to target the k1C genes to create variants with reduced kafirin levels and improved protein quality and digestibility. A single guide RNA was designed to introduce mutations in a conserved region encoding the endoplasmic reticulum signal peptide of α-kafirins. Sequencing of kafirin PCR products revealed extensive edits in 25 of 26 events in one or multiple k1C family members. T1 and T2 seeds showed reduced α-kafirin levels, and selected T2 events showed significantly increased grain protein digestibility and lysine content. Thus, a single consensus single guide RNA carrying target sequence mismatches is sufficient for extensive editing of all k1C genes. The resulting quality improvements can be deployed rapidly for breeding and the generation of transgene-free, improved cultivars of sorghum, a major crop worldwide.
Artificial mountain ape optimization algorithm for maximum power point tracking under partial shading condition

This paper introduces an artificial mountain ape optimization (A2MO) technique to track maximum power point in all the environmental conditions. This algorithm is able to locate global maximum power point over so many local maximum power points during partial shading conditions. It is very necessary to operate photovoltaic panel at maximum power point during any environmental condition. The proposed A2MO algorithm is simulated under MATLAB/SIMULINK environment for only one shading pattern. The results are compared with other two swarm intelligence based techniques ABC and PSO which strongly supports that the A2MO algorithm is best and superior amongst all existing MPPT techniques.
Effect of flexure hinge geometry on central deflection of piezo actuated diaphragm for micropump

This paper discusses the effect of flexure hinge geometry on piezo actuated diaphragms for the micropump application. Use of flexure hinges in the diaphragm is one of the approaches to increase the diaphragm central deflection, selection of proper flexure hinges for out-of-plane application is important. COMSOL analysis is used to study the effect of flexure hinge geometry on the central deflection and stress distribution in the diaphragm. Rectangle hinge, circular cut-out hinge and corner fillet flexure hinges were chosen with a constant width of 1.5mm and 2mm length. In the present investigation, the central deflection of the diaphragm with different flexure hinges are studied and compared with a plane diaphragm with respect to actuating voltage. The simulation result shows that the maximum deflection is obtained from circular cut-out flexure diaphragm i.e. 9. 35μm. Whereas stress distribution in circular flexure hinge diaphragm is more compared to rectangular flexure hinge diaphragm, which may lead to failure. Therefore rectangular flexure diaphragm has the advantage of minimum stress concentration with higher deflection compared to corner fillet and circular flexure. The deflection of rectangle flexure hinge diaphragm is 8. 65μm which is 64% more compared to plane diaphragm.
Software defect distribution prediction model based on NPE-SVM

During the prediction of software defect distribution, the data redundancy caused by the multi-dimensional measurement will lead to the decrease of prediction accuracy. In order to solve this problem, this paper proposed a novel software defect prediction model based on neighborhood preserving embedded support vector machine (NPE-SVM) algorithm. The model uses SVM as the basic classifier of software defect distribution prediction model, and the NPE algorithm is combined to keep the local geometric structure of the data unchanged in the process of dimensionality reduction. The problem of precision reduction of SVM caused by data loss after attribute reduction is avoided. Compared with single SVM and LLE-SVM prediction algorithm, the prediction model in this paper improves the F-measure in aspect of software defect distribution prediction by 3%∼4%.
Field Implementation and Trial of Coordinated Control of WIND Farms

This paper demonstrates, with live field experiment, the potential of increasing wind farm production through minimising wake effects by curtailing upstream wind turbines. Two 2 MW turbines from the SMV (Le Sole de Moulin Vieux) wind farm are used for this purpose. The farm is equipped with state of the art LiDARs (Light Detection And Ranging) for measuring wind characteristics, up to a frequency of 1 Hz. Simulations are performed using WindPRO for wake effects prediction. Optimised curtailment strategies are simulated for finding optimum curtailment settings of the upstream turbine. Results based on real time data are compared with simulated results. It is found that simulations are mostly in good agreement with field results, with a maximum difference of 1.5%. Analysis shows that a gain of up to 11.5% is possible in downstream turbine production, using a hard curtailment strategy by reducing power of the upstream turbine by about 17%. In this experiment, the combined production of the two turbines decreased with the hard curtailment strategy, indicating that the upstream turbine must be optimally curtailed for avoiding any production loss. To the best knowledge of the authors, this is the first practical implementation of LiDAR based coordinated control strategies in an operating wind farm.
Forward forecast of stock prices using LSTM neural networks with statistical analysis of published messages

The article presents a new approach that combines two separate fields of stock exchange analysis. The aim of proposed solution is to support investors in their decisions and recommend to buy the assets which provide the greatest profits. To achieve this goal, decisive algorithms have been developed using artificial neural networks and technical analysis, which were used along with statistics that refer to the occurrence of single words in the fundamental analysis. Based on this, a model was prepared that in response gives a recommendation for future increases. The system consists of two algorithms. The first of them uses the LSTM (Long Short-Term Memory) artificial neural network. As inputs, information about the current closing price as well as technical analysis indicators along with the value of the current volume were used. The output has been specified as the closing price on the following day. In order to improve the response from the ANN (Artificial Neural Network), statistics of the occurrence of words in publications from last week were used. Subsequent signals gained much more importance if the volume of all transactions was much larger than the moving average of the last 15 periods and if the words that appeared in the last publication caused earlier increases. Additional information for the system are also data that come from Google Trends. This allows to verify the trend of interest and whether the published messages are important.
Blood-based analyses of cancer: Circulating myeloid-derived suppressor cells – is a new era coming?

Abstract Progress in cancer treatment made by the beginning of the 21st century has shifted the paradigm from one-size-fits-all to tailor-made treatment. The popular vision, to study solid tumors through the relatively noninvasive sampling of blood, is one of the most thrilling and rapidly advancing fields in global cancer diagnostics. From this perspective, immune-cell analysis in cancer could play a pivotal role in oncology practice. This approach is driven both by rapid technological developments, including the analysis of circulating myeloid-derived suppressor cells (cMDSCs), and by the increasing application of (immune) therapies, the success or failure of which may depend on effective and timely measurements of relevant biomarkers. Although the implementation of these powerful noninvasive diagnostic capabilities in guiding precision cancer treatment is poised to change the ways in which we select and monitor cancer therapy, challenges remain. Here, we discuss the challenges associated with the analysis and clinical aspects of cMDSCs and assess whether the problems in implementing tumor-evolution monitoring as a global tool in personalized oncology can be overcome.
OVERVIEW AND LITERATURE SURVEY ON ROUTING PROTOCOLS FOR COGNITIVE RADIO NETWORKS

Cognitive radio (CR) technology is introduced to solve the problem of spectrum underutilization in wireless networks by opportunistically exploiting portions of the spectrum temporarily vacated by licensed primary users. Cognitive radio networks (CRNs) comprises of cognitive, spectrum easy moving devices which are efficient of changing their configurations depending upon the spectral environment which they use. This capacity opens up the likeliness of designing flexible and dynamic spectrum access strategies. In this paper, we present a survey of recent routing protocols in Cognitive Radio Networks (CRNs). We start by listing routing challenges as well as propose the classification of routing protocols followed by a comprehensive survey of different routing techniques. The main purpose of the survey is to provide exhaustive and critical study on the current routing schemes in order to bring out new open issues as well as being utilized to either improve the existing routing techniques or to develop new routing solutions.
Proactive Planning and Execution Strategies with Multiple Hypotheses

In order to enhance the behavior of autonomous service robots, we are exploring multiple paradigms for their planning and execution strategy (the way of interleaving the planning, selection and execution of actions). In this paper we focus on continuous proactive planning with multiple hypotheses in order to continuously generate multiple solution-plans from which an action can potentially be selected when required. To illustrate the concepts, we develop how it can be used for autonomous navigation in dynamic environments. For this purpose we present and analyze the tests we realized with several instantiations. We also discuss several aspects and concerns about the proposed strategy, and how integrating more semantic information could enhance the capabilities of service robots for real-world applications.
Toward a Political Ecology in Early South India: Preliminary Considerations of the Sociopolitics of Land and Animal Use in the Southern Deccan, Neolithic through Early Historic Periods

The archaeology of southern India has long been dominated by cultural-historical paradigms, which have more recently become reliant on environmental stimuli to explain ''culture change. '' This interpretive framework has created a relatively fixed set of relationships between the environment and past human societies that oversimplifies issues of agency and causation in largely deterministic terms. At issue here is a lack of adequate treatment for the sociopolitical complexity of human-environment relationships. In this essay we examine the relationships between emerging social differences and both stable and dynamic aspects of land use throughout the South Indian Neolithic (3000–1200 B.C.), Iron Age (1200–500 B.C.), and Early Historic (500 B.C.–A.D. 500) periods in the southern Deccan region of South India. In an effort to contextualize land use in wider sociopolitical realms, we focus on the empirical components of three aspects of the archaeological record—animal use, agricultural regimes, and monument production and maintenance—through a lens of political ecology. Accepting that land use is socially and culturally mediated, we suggest how sociopolitical distinctions emergent during these periods could be viewed in relation to the production of a landscape that differentially included wild and domesticated animals, cultivars, water reservoirs, irrigation agriculture, and monumental architecture. In this sense, we argue that the landscape itself could be seen as a social product through which sociopolitical differences were experienced and perceived, and that the historical development of the landscape is both the artifact and medium of sociopolitics in early South India. As such, the determinants of social history remain in social and cultural fields of action, though not removed from the ecological-material world of which people are a part.
Sinusoidal modulation with higher harmonics limitation

Sinusoidal modulation techniques are highly applied in the power electronics converters technology and generate harmonic distortion in the load side. The harmonic components generate many problems such as interference with control signals. This paper presents the study results of the carrier based, sinusoidal, modulation method performed for the three-phase, three-wire voltage source inverter. As a result of the carrier based modulation strategy, the output voltage higher harmonics components in the spectrum are observed. They are connected with a carrier signal and with other harmonics sources, e.g. non-linearity load. Using the fluctuation of the switching frequency in the digital modulation system the higher harmonic components of the inverter output voltage can be actively limited. Presented results of the carrier base modulation strategy with the switching frequency fluctuation are selected issues of the control system with the use of a FPGA device. The amplitudes of the output voltage frequency components are reduced in the system with the linear fluctuation of the switching frequency and in the system with the sinusoidal fluctuation of the switching frequency. The results of the sinusoidal modulation method with two kinds of the switching frequency fluctuation used in the voltage source inverter were analyzed and compared.