Miracle-dz/UniFAR-FTUs huggingface dataset:
Deployment and Scheduling of Wireless Sensor Networks for Air Pollution Monitoring. (Déploiement et Ordonnancement de Réseaux de Capteurs Sans Fil pour le Suivi de la Pollution de l'Air)

Wireless sensor networks (WSN) are widely used in environmental applications where the aim is to sense a physical phenomenon such as temperature, humidity, air pollution, etc. In this context of application, the use of WSN allows to understand the variations of the phenomenon over the monitoring region and therefore be able to take adequate decisions regarding the impact of the phenomenon. Due to the limitations of its traditional costly monitoring methods in addition to its high spatial and temporal variability, air pollution is considered as one of the main physical phenomena that still need to be studied and characterized. In this thesis, we consider three main applications regarding the use of WSN for air pollution monitoring: 1) the construction of real time air quality maps using sensor measurements; 2) the detection of pollution threshold crossings; and 3) the correction of physical models that simulate the pollution dispersion phenomenon. All these applications need careful deployment and scheduling of sensors in order to get a better knowledge of air pollution while ensuring a minimal deployment cost and a maximal lifetime of the deployed sensor network. Our aim is to tackle the problems of WSN deployment and scheduling while considering the specific characteristics of the air pollution phenomenon. We propose for each application case a new efficient approach for the deployment of sensor and sink nodes. We also propose a WSN scheduling approach that is adapted to the case of physical models’ correction. Our optimization approaches take into account the physical nature of air pollution dispersion and incorporate real data provided by the existing pollution sensing platforms. As part of each approach, we use integer linear programming to derive optimization models that are well adapted to solving small and medium instances. To deal with large instances, we propose heuristic algorithms while using linear relaxation techniques. Besides our theoretical works on air pollution monitoring, we design from scratch and deploy in the Lyon city a cost-effective energy-efficient air pollution sensor network. Based on the characteristics of our monitoring system in addition to real world air pollution datasets, we evaluate the effectiveness of our deployment and scheduling approaches and provide engineering insights for the design of WSN-based air pollution monitoring systems. Among our conclusions, we highlight the fact that the size of the optimal sensor network depends on the degree of the variations of pollution concentrations within the monitoring region.
Monocular Visual-Inertial-Pressure Fusion for Underwater Localization and 3D Mapping. (Conception d'une charge utile basée vision pour la localisation autonome d'un robot sous-marin et la cartographie de précision)

This thesis addresses the problem of real-time 3D localization and mapping in underwater environments.In the underwater archaeology field, Remotely Operated Vehicles (ROVs) are used to conduct deep-seasurveys and excavations. Providing both accurate localization and mapping information in real-time iscrucial for manual or automated piloting of the robots. While many localization solutions already existfor underwater robots, most of them rely on very accurate sensors, such as Doppler velocity logs or fiberoptic gyroscopes, which are very expensive and may be too bulky for small ROVs. Acoustic positioningsystems are also commonly used for underwater positioning, but they provide low frequencymeasurements, with limited accuracy.In this thesis, we study the use of low-cost sensors for accurate underwater localization. Our studyinvestigates the use of a monocular camera, a pressure sensor and a low-cost MEMS-IMU as the onlymeans of performing localization and mapping in the context of underwater archaeology.We have conducted an evaluation of different features tracking methods on images affected by typicaldisturbances met in an underwater context. From the results obtained with this evaluation, we havedeveloped a monocular Visual SLAM (Simultaneous Localization and Mapping) method, robust to thespecific disturbances of underwater environments. Then, we propose an extension of this method totightly integrate the measurements of a pressure sensor and an IMU in the SLAM algorithm. The finalmethod provides a very accurate localization and runs in real-time. In addition, an online dense 3Dreconstruction module, compliant with a monocular setup, is also proposed. Two lightweight and compactprototypes of this system have been designed and used to record datasets that have been publiclyreleased. Furthermore, these prototypes have been successfully used to test and validate the proposedlocalization and mapping algorithms in real-case scenarios.
Elements Failure Robust Compensation in 2D Phased Arrays for DOA Estimation With M-ary PSK Signals

Constant modulus algorithm (CMA) has been widely used in direction of arrival (DOA) estimation for constant modulus signals. However, CMA fails completely when dealing with array elements failure. In this paper we devise an algorithm to solve CMA fault-tolerance deficiency. The compensation of failed elements in 2D arrays is achieved by a Replace, Replicate, Reconstruct and Remove (4R) algorithm. The 4R-2D-CMA starts by replacing a failed-element signal by the nearest operating array element signal, then, after computing the covariance matrix, the corrupted rows and columns corresponding to failed elements in both elevation and azimuth are replicated from their Centro-symmetric counterparts to correct the covariance distortion. Replication step takes advantage of a special structure of two perpendicular Centro-symmetric arrays producing a Centro-Hermitian matrix. Afterwards, a 2D-CMA algorithm is used for decomposition to produce azimuth and elevation directions matrices. After decomposition, a linear phase correction is used before the covariance matrix is reconstructed. Finally, a second decomposition is used to obtain final DOAs. The number of constant modulus (CM) sources is estimated from a robust spectrogram analysis. Results for an SNR of −3 dB with 11% of elements failure show almost full recovery and hence prove the effectiveness of the novel approach.
Dualities for Intuitionistic Modal Logics

We present a duality for the intuitionistic modal logic IK introduced by Fischer Servi in [10, 11]. Unlike other dualities for IK, the dual structures of the duality presented here are ordered topological spaces endowed with just one extra relation, that is used to define the set-theoretic representation of both 2 and 3. We also give a parallel presentation of dualities for the intuitionistic modal logics I2 and I3. Finally, we turn to the intuitionistic modal logic MIPC, and give a very natural characterization of the dual spaces for MIPC introduced in [2] as a subcategory of the category of the dual spaces for IK introduced here.
Bayesian Analysis of Information and Net Order Flow in a Learning Model of Pricing

We develop a microstructure model which seeks to describe the way in which private information is incorporated into price via a bayesian learning process used by market agents. A novel innovation is the description of a dynamic latent process for the information arrival process which can be extracted from observed order flow variables by developing various filtering techniques. We also describe how a boundedly rational learning process by which agents use aggregated trade data to infer this latent process can be used to set prices. The implication of this specification is that it allows us to examine how various microstructure parameters including the probability of informational trading, the spread attributable to information asymmetry and the degree of information asymmetry vary over time. We adopt Bayesian MCMC methods to directly estimate the structural parameters and test the implications of the model. In relation to modelling trading behaviour, net order flow seems to be well described by a process in which the information state variable follows a simple Markovian process. This is achieved in part by modelling the probability of an information event as time varying.
[A comparative study of the in-vitro solubility and availability of magnesium from various sources for cattle].

: Magnesium (Mg) is often added to the feed of cattle to meet the dietary requirements of this element. Magnesium oxide (MgO) is usually used. However, if the supplemented MgO does not dissolve in the rumen, it will not be effective. The solubility of eight preparations of MgO was measured with three different in vitro methods. Particle size and origin varied among the eight preparations. Solubility in vitro ranged from hardly soluble (MgO-C) to highly soluble (MgO-A). In an experiment with four cows with rumen fistulas (4 x 4), the solubility of the MgO preparations in vitro was found to parallel their solubility in the rumen and their urinary excretion. It was concluded that not only the amount of MgO added to the ration is important but also the solubility of the MgO.
Development of a strategic model of customer relationship management for the pharmaceutical industry of Bangladesh

Recent academic and practitioner studies have implied that customer relationship management (CRM) provided improved business opportunity yet it has received sundry performance reviews in the present literature. The pharmaceutical industry, in Bangladesh, is in the midst of fundamental changes. Situational regulations have been placed for decades that minimize pressure from competitor companies, and application of modern information technologies that improved the customer knowledge about better service, force the pharmaceutical companies to build relationship with their key customers, such as physicians. This research explored the affiliation among CRM philosophy acceptance, market orientation and relationship marketing, and the subsequent impact on business relationships and relationship performance. A strategic model was developed based on the literature and information obtained through interviews. Key words: Customer relationship management (CRM), hospital pharmacy, physician
Attention based Term Weighting for App Retrieval

App retrieval aims to select and rank relevant mobile apps to the textual queries users input, which is the key function for app search engines. As the terms in a query often play different roles in app retrieval, many term weighting schemes have been proposed to distinguish the importance of different terms in the query. However, most current term weighting schemes leverage only literal statistics information in texts, while neglecting user intentions implied in queries. Considering that the category of apps can reﬂect users’ search intention to some extend, this paper proposes an attention based GRU-RNN network to learn the weight of each term by training on the data app category label. To the best of our knowledge, we are among the ﬁrst to use attention-based deep networks to learn term weights for app retrieval. Experimental results show the effectiveness of our method, which achieves a 3 . 5% better nDCG@10 than baselines.
NEBULAE USING WISE DATA

We present various infrared two-color diagrams (2CDs) using WISE data for asymptotic giant branch (AGB) stars and Planetary Nebulae (PNe) and investigate possible evolutionary tracks. We use the sample of 5036 AGB stars, 660 post-AGB stars, and 2748 PNe in our Galaxy. For each object, we cross-identify the IRAS, AKARI, WISE, and 2MASS counterparts. To investigate the spectral evolution from AGB stars to PNe, we compare the theoretical model tracks of AGB stars and post-AGB stars with the observations on the IR 2CDs. We find that the theoretical dust shell model tracks can roughly explain the observations of AGB stars, post-AGB stars, and PNe on the various IR 2CDs. WISE data are useful in studying the evolution of AGB stars and PNe, especially for dim objects. We find that most observed color indices generally increase during the evolution from AGB stars to PNe. We also find that Fe0.9Mg0. 1O dust is useful to fit the observed WISE W3-W4 colors for O-rich AGB stars with thin dust shells.
TSGA10 Expression Status in Breast Cancer: The Role of Microenvironmental Changes

Background: Testis-specific gene antigen (TSGA10) mainly involves in spermatogenesis and embryogenesis. In the new defined roles, being a tumor suppressor agent or a cancer/testis antigen (CTA) is still unclear for this protein. The current study aimed to examine exact role of TSGA10 as a tumor suppressor or CTA in breast cancer and evaluate the role of microenvironment on its expression. Methods: This study evaluated the expression of TSGA10 and hypoxia-inducible factor 1α (HIF-1α) in two different breast cancer cell lines (MCF-7 and MDA-MB23) as well as their control (MCF10A) using real-time PCR. Moreover, expression of the mentioned genes evaluated in samples obtained from tumoral tissues with two types of controls: paired (tumor-free margin) and unpaired (healthy individuals). Also, in order to asses TSGA10 levels in the tumoral tissues, western blotting was performed. Furthermore, to evaluate the role epigenetic changes on TSGA10 expression, breast cancer cell lines were treated with a histone deacetylase inhibitor (HDACI) as well as H2O2 for oxidative stress induction. Results: The current study evaluated 36 patients diagnosed with breast cancer as well as 10 healthy controls. According to the results, it was shown that 35 (97.7%) and 1 (2.8%) of patients were diagnosed with ductal and lobular carcinomas respectively. The TSGA10 levels in the tumoral samples showed 1.38±0.014-fold decrease and 1.41±0.127-fold increase compared with their paired (P<0.001) and unpaired (P<0.001) controls respectively. Moreover, results of blotting in tumoral tissues expressed significant decrease in TSGA10 levels in comparison to the paired controls (P<0.01). Among the cell lines, TSGA10 expression in MCF-7 and MDA-MB23 cells had 4.9±0.283 and 4.21±0.163 folds of decrease in normoxic and 4.7±. 0.283 and 7.1±0.141 folds of expression reduction in hypoxic condition respectively (all P<0.0001). Furthermore, the results showed that HIF-1α expression was up-regulated in both normoxic (P<0.01) and hypoxic (P<0.01) conditions. Also, TSGA10 expression increased up to 7.39±0.156 folds in MCF-7 cells after HDACI treatment (all P<0.01). However, MDA-MB23 cells firstly experienced a decrease and then a notable increase in TSGA10 expression (all P<0.01). Conclusion: Results of current study showed that TSGA10 seems to be tumor suppressor, however, further studies are necessary.
Effects of University-Industry Interaction on Firm’s Innovation: Empirical Evidence from Brazilian Firms

This paper investigates the university-industry interaction and its effect on the likelihood of product and process innovation, in a developing country. We argue that firms differ in the type and determinants of interactions with universities and these differences may result in different innovation outcomes. We collected and analyzed primary data from 325 firms that had any interaction with universities in previous years. Logistic regression results provide some support for our argument by demonstrating how different types of interaction result in different innovation outcomes.
Snakes in the City: Population Structure of Sympatric Gartersnakes (Thamnophis spp.) in an Urban Landscape

—Despite the intense challenges to wildlife presented by urbanization, many species continue to survive and even to thrive in these highly impacted landscapes. In the urban matrix of Denver, Colorado, USA, two snake species persist in restricted urban habitats near the limit of their geographic ranges: the Western Terrestrial Gartersnake (Thamnophis elegans) and the Plains Gartersnake (Thamnophis radix). We used nuclear microsatellite markers to assess the population genetic structure of three populations of both species living syntopically in this highly developed urban environment and one population of T. elegans in natural habitat. Our findings indicate strong population structure, limited migration between populations of each species, and evidence of inbreeding and a loss of genetic diversity, with these patterns more pronounced in T. radix. Additionally, we do not find evidence of increased hybridization between these species in such confined habitat patches. These results suggest that populations of long-lived vertebrate species may require intervention to escape long-term detrimental effects of habitat fragmentation and subsequent genetic isolation.
Viewscape Assessment Framework for Protecting the Views of Sacred Monuments: Comparative Study of Srirangam and Thanjavur Religious Towns

Sacred monuments represent layers of evolving traditional forms of architecture and city building that have together created a sense of place in our historic cities. Among the various sacred monuments Gopurams and Vimanams are significant landmark structures which form the image and identity for the historic temple towns of South India. Treating temple Gopuram and Vimanam as objects of worship inspired and influenced a variety of sacred activities and rituals performed in places around them. These sacred monuments have been built to be viewed and worshipped from far as well as near. The Gopurams, which once stood in centre of the settlement and dominated their surroundings, are now in danger of losing their visibility due to a variety of elements that obstruct the view. In the above context it is attempted to study the visual relationship between the sacred monuments and the places from where the views are available, so as to identify the most important views for protection. For this purpose, a review of literature related to assessment of quality views was undertaken. In order to protect the most important views, a ‘Viewscape Assessment Framework’ was used to assess the factors which affect (a) quality of views and, (b) quality of place from where the view is available The viewscape assessment framework was applied in case of two important sacred monuments with differing visual characteristics. Major findings of the study reveal that the significance of view of the sacred monument depends on viewing location, its physical characteristics, number of potential viewers, background and foreground elements of the viewscape. This study also emphasizes the use of ‘View Assessment Framework’ for identifying and protecting the views of sacred monuments.
Size and structure of two populations of spotted turtle (Clemmys guttata) at its western range limit

—Determining demographic properties for threatened and endangered species is paramount for crafting effective management strategies for at-risk populations. Collecting sufficient data to quantify population characteristics, however, is challenging for long-lived species such as chelonians. One such species in Illinois is the state-listed as Endangered Spotted Turtle (Clemmys guttata). While demographic data exist for populations from other extremes of the range of the species, no similar investigation has been published for Illinois, in which only two isolated populations remain extant. We used a long-term mark-recapture data set to analyze changes in sex and stage structure, abundance, and population growth between 1988 and 2016. Both populations exhibited a strong adult bias (76.5–90.6%) and an even adult sex ratio throughout the duration of the study. At one site the estimated population abundance increased, although there was a decreasing trend in the growth rate over time. Population size and growth rate remained relatively stable at the other site. Sex and stage distributions in the Illinois C. guttata populations were consistent with those of other populations, but the two populations are not experiencing the steep declines documented throughout the remainder of the range of the species despite threats from habitat limitations, subsidized mesopredator abundance, poaching, and traffic. We recommend increasing available habitat as the most effective strategy to reduce risks to C. guttata persistence in Illinois.
Network Performance Comparative Analysis of Torus and Modified Mesh Interconnections with Source Routing for Packet Loss

 Abstract —The network topologies performance can be measured by number of parameters such as throughput, latency and jitter. The performance degradation of a network will happen by a very crucial parameter called data loss. Transmission Control Protocol (TCP) is a widely deployed reliable transport protocol. Data Source routing, is a routing approach in which the path to the destination is determined by the source itself. Torus interconnect is a combination of regular ring and mesh topologies and it is widely used in parallel supercomputers. Torus interconnect reduces the number of hops to reach the destination and thereby it saves the energy. The paper evaluating the performance of Torus interconnection and modified mesh interconnect on the basis of packet loss with source routing using different traffic generation mechanisms for parallel transmissions and comparing the results. Results are drawn for various scenarios and analyzed which are useful for designing the interconnection networks.
PoPulation Structure and natural HiStory of creaSer ’ S Mud turtle ( Kinosternon creaseri ) in central yucatán

—Creaser’s Mud Turtle (Kinosternon creaseri Hartweg, 1934) is a kinosternid turtle that is widely distributed across the three states of the Yucatán Peninsula in southeastern México. Although its distribution and habitat associations have been established for nearly three decades (Iverson 1988), primarily anecdotal data are available on local population structure and natural history. We conducted a capture-recapture study of K. creaseri in small, limestone depressions (haltunes) distributed over about 650 ha of forested hills in the Puuc Hills Region of south-central Yucatán. We used baited funnel traps in seven haltunes with surface areas ranging from 2.3 to 54.9 m2 for a combined total of 445 trap hours, and manually searched 20 additional small haltunes (≤ 1.5 m semimajor axis). We captured, marked, and released 174 individual turtles. Our sample included 21 adults (12 males and nine females) and 139 juveniles or hatchlings with carapace lengths < 90 mm. Turtle densities ranged from 1.55–5.11 turtles/m2 of surface water. Preliminary results from our two-year sampling period provide no evidence of individual turtle movement between ponds. Further, we report on novel ecological interactions of K. creaseri, such as attempted depredation of hatchlings by giant water bugs (Lethocerus sp.), feeding behavior of trapped turtles on adult Rio Grande Leopard Frogs (Lithobates berlandieri), and shared rock-crevice aestivation with the Furrowed Wood Turtle, Rhinoclemmys areolata. We also compiled new occurrence data for the species and report an expanded known distribution of this poorly known species.
Clinical Observation of Mifepristone Combined with Guizhifuling Capsule in Treating Hysteromyoma

Objective:To explore the feasibility of mifepristone combined with Guizhifuling capsule in treatment for hysteromyoma.Methods:200 cases of hysteromyoma patients were randomly divided into treatment group and control group,the control group were treated with mifepristone,and the treated group with mifepristone plus Guizhifuling capsule.The clinical effect was evaluated after the treatment.Results:The total effective rate in the treatment group was 84.2%,significantly higher than the control group 71.1% (P0.05). By down regulating the geno-hormone levels and improving blood rheology,the volume of hysteromyoma were diminished, the hemoglobin levels were effectively corrected,the menstrual blood volume and duration were decreased,especially in treatment group (P0.05). Conclusion:There was synergistic effect in treating hysteromyoma between mifepristone and Guizhifuling capsule,and it is worth clinical application.