Miracle-dz/UniFAR-FTUs huggingface dataset:
A retrospective study of influenza rapid antigen test positivity with drug prescribing and clinical symptoms

Amac: Influenza benzeri hastaliklar (ILI) akilci olmayan antibiyotik kullaniminin en sik sebeplerindendir. Bu calismadaki amacimiz, Turkiye’den ilk bildirim olarak hizli antijen testi (RAT) pozitifliginin ilac recetelendirilmesi ve klinik belirtiler ile iliskisini incelemektir. Gerec ve Yontemler: Eylul 2015-Haziran 2017 tarihleri arasinda ILI tanisi almis 1200 hasta bu arastirma kapsaminda degerlendirilmistir. Tum hastalardan nazofarenkssuruntuleri alinmis veInfluenza A/B tanisi amaciyla RAT ile incelenmistir. Elde edilen sonuclar, hastalarin klinik durumlari ve recetelendirilmis ilaclar ile karsilastirilarak degerlendirilmistir. Bulgular: RAT sonuclarina gore 1200 ILI hastasinin 414’u (%34,5) Influenza A/B pozitif bulunmustur. ILI tanisi alan hastalarda en sik gorulen belirtiler ates (984 hasta-%82), oksuruk (727 hasta-%60,6) ve halsizlik (270 hasta-%22,5) olarak saptanmistir. 414 RAT pozitif saptanan hastanin 371’inde (%89,6) ates en sik saptanan belirti olmustur (p<0,01). Bunun yanisira 786 RAT negatif hastanin 516’sina (%65,6) sadece antibakteriyel ilac receteverilmistir (p<0,01). Sonuc: Sonuclarimiz RAT pozitifliginin gereksiz antibiyotik recetelendirilmesi uzerine olumlu bir etkiye sahip oldugunu gostermistir. Buna ragmen Turkiye’de klinisyenlerin antibiyotik recetelendirme oranlari yuksektir. Sonuc olarak calismamizinfluenza tanisinahizla karar verilmesi gereken durumlarda RAT kullaniminin gereksiz antibiyotik recetelendirilme oranlarini dusurecegini gostermistir.
Reflective Shadow Maps Real-Time High-Quality Rendering · Final Project Report

In this project we have implemented Reflective Shadow Maps together with Screen-Space Ambient Occlusion and Percentage-Closer Soft Shadows. Our approach hinges on the presence of a single directional light for which we create a reflective shadow map, or RSM, a multi-targeted frame buffer object that stores, for each fragment as seen from the light source point of view, the world-space position, the world-space normal vector, the flux, and the depth. Figure 1 shows the components of our typical RSM and the final result after the integration of other refinement and performance-enhancing techniques. Reflective Shadow Maps The goal of an RSM, as described by Carsten Dachsbacher and Marc Stamminger in [1], is to approximate indirect lighting by sampling neighboring fragments of a target pixel. For this, we require information like the world-space position, normal, and flux of those candidate fragments so that we can determine if they contribute to lighting the pixel currently under consideration, and by how much. If we let x and n be the world-space position and normal of a pixel, and suppose we want to compute the irradiance at x due to a fragment p at position xp, then [1]: Ep(x,n) = φp max (0,np (x− xp)) max (0,n (xp − x)) ‖x− xp‖ where φp is the RGB-vector flux at pixel p, defined for a directional light as the element-wise product of the light color and the material albedo of the model in the scene. In figure 1 you may realize that in this case the flux is basically a flat-shaded image of the 3D objects. The total indirect, one-bounce irradiance at a pixel x is then given by
Integrating indigenous environmental knowledge into the environmental impact assessment process

Emerging challenges of Environmental Impact Assessment (EIA) indicate that environmental impacts are becoming larger and more complex, hence the need for the incorporation of Indigenous Environmental Knowledge (IEK) as well as the integration of aboriginal people into EIA research, policy and process. In most cases, most EIAs are far from this realization, hence ineffectiveness. IEK is the knowledge, experiences, wisdom and philosophies about the environment in which the people live and can bring to bear in environmental assessment and management. To achieve this, research on indigenous knowledge and management systems should include taxonomical, spatial, temporal, and social perspectives. This paper therefore suggests that IEK should be documented and backed-up by law, if we are to achieve sustainable project development.
Dialogue Breakdown Detection Considering Annotation Biases

We propose a method for dialogue breakdown detection based on ensemble of detectors trained by different sets of annotators. Our approach clusters the training data by the annotation distribution of each annotator and constructs a detector for each cluster. A detector uses a neural network that encodes an utterancereply pair to label it either Breakdown, Not a breakdown, or Possible breakdown. Specifically, a network consists of two parallel/series combined encoders, a hidden layer, and a softmax layer. Then the ensemble results of all detectors predict a breakdown. We submitted our models to the Dialogue Breakdown Detection Challenge 3 (DBDC3) Japanese task. The results confirm the effectiveness of considering biases among annotators.
Dispersed Opinion based QoS Cognizant Routing Protocol against Black hole Attack in MANET

MANET is an infrastructure fewer network, here each node acts as à router and so capable to forwards data packets to all other neighboring nodes. Hence, the routing packet overhead has been reduced. Routing in MANETs is challenging since the network topology is dynamic, selforganized, self-administrated and low transmission range. Due to the above characteristics, MANET is vulnerable to various attacks like routing attacks, DoS (Denial of Service) MANET is an infrastructure fewer network, autonomous system, which is a collection of mobile nodes. This paper is based on analysis of trust based source routing using the trust prediction system in mobile ad-hoc network. Here, a trust based source routing protocol using QoS constraints has been designed. In this paper, the Trust prediction system has been designed for checking the trustworthiness of the nodes present in the network. Trust prediction finds the best route for the source based routing that is free from malicious nodes effect. In this paper DTQR (Dispersed Trust based QoS aware routing) has been designed & implemented for preventing the malicious nodes from entering the network. We also compare the DTQR (Dispersed Trust based QoS aware Routing) algorithm with TQR (Trust based QoS aware Routing) and Watchdog-DSR. The Simulation results show that the DTQR prevents an attack from malicious nodes and the security, performance, the packet delivery ratio, detection ratio of malicious nodes, data receiving analysis, has been improved.
THE CHALLENGES OF RECENT CHANGES IN FRENCH COOPERATIVE BANKING GROUPS *

French cooperative banking groups have profoundly changed since the 1990s. The result of both constraints and opportunities, the changes have involved internal restructuring as much as external growth. The article shows a transformation in groups towards a universal bank but with hybrid structures incorporating both cooperatives and conventional companies. This hybridization of cooperative groups may eventually pose problems in terms of defining the objectives of the group and its components, the conflict over sharing the wealth created and power, and the potential for competition arising between parts of the same group. More broadly, this transformation has shifted the balance of power among the different stakeholders—managers, employees, board members, cooperative members and now also investors—creating a challenge that cooperative banking groups will have to meet in order to maintain their cohesion and capacity to expand.
SELECTIVE JAMMING ATTACKS PREVENTION MECHANISM THROUGH PACKET-HIDING

Since RF (radio frequency) is essentially an open medium, deliberates radiation or reflection of electromagnetic energy for the purpose of disrupting enemy use of electronic devices or systems. it is vulnerable to intentional interference attacks, typically referred to as jamming. jamming can be a huge problem for wireless networks. Jamming is one of many exploits used compromise the wireless environment. It works by denying service to authorized users as legitimate traffic is jammed by the overwhelming frequencies of illegitimate traffic. A knowledgeable attacker with the right tools can easily jam the 2.4 GHz frequency in a way that drops the signal to a level where the wireless network can no longer function. It can be used as a launchpad for mounting Denial-of-Service attacks on wireless networks. In this we proposed a mechanism to address the problem of selective jamming attacks in wireless networks by gathering internal knowledge of protocol specifications. It prevents real-time packet classification by combining cryptographic primitives with physical-layer attributes. Selectively targeting messages of high importance. We illustrate the advantages of selective jamming in terms of network performance degradation and adversary effort by presenting two case studies; a selective attack on TCP and one on routing. We analyze the security of our methods and evaluate their computational and communication overhead.
Twelfth International Congress on Sound and Vibration PERCEIVED ROOM SIZE AND SOURCE DISTANCE IN FIVE SIMULATED CONCERT AUDITORIA

Room impulse responses (stereophonic and binaural) were recorded using identical procedures in five concert auditoria: the large, medium and small halls of Rome’s Parco della Musica, Parma’s Auditorium Paganini, and Kirishima’s Miyama Conseru. A subjective test was conducted, using an anechoic recording of a piano accordion convolved with these impulse responses, and reproduced over four audio systems (binaural headphones, conventional stereophony, stereo dipole and double stereo dipole). The frequency responses of these playback systems were matched, and the playback level was realistic for the instrument and auditoria. Results indicate that the audio system can significantly affect distance estimation and realism judgments (with a non-significant effect on room size ratings). The situation (auditorium and seat position) significantly affects distance estimations and room size ratings (but not realism ratings). Room acoustical parameters were determined from for each situation, and relationships between these and the auditory distance and room size judgments were investigated. Auditory distance perception is primarily correlated (negatively) to the reproduced sound pressure level. Results for perceived room size are more complex, and demand further research for interpretation. Results tentatively indicate that among these non-individualized two-channel systems, the single stereo dipole system provides a plausible reproduction of the auditorium acoustical environment for the purpose of subjective assessment.
Effect of soybean growth stage on sensitivity to sublethal rates of dicamba and 2,4-D

Abstract Field experiments were conducted in 2012 and 2013 across four locations for a total of 6 site-years in the midsouthern United States to determine the effect of growth stage at exposure on soybean sensitivity to sublethal rates of dicamba (8.8 g ae ha−1) and 2,4-D (140 g ae ha−1). Regression analysis revealed that soybean was most susceptible to injury from 2,4-D when exposed between 413 and 1,391 accumulated growing degree days (GDD) from planting, approximately between V1 and R2 growth stages. In terms of terminal plant height, soybean was most susceptible to 2,4-D between 448 and 1,719 GDD, or from V1 to R4. However, maximum susceptibility to 2,4-D was only between 624 and 1,001 GDD or from V3 to V5 for yield loss. As expected, soybean was sensitive to dicamba for longer spans of time, ranging from 0 to 1,162 GDD for visible injury or from emergence to R2. Likewise, soybean height was most affected when dicamba exposure occurred between 847 and 1,276 GDD or from V4 to R2. Regarding grain yield, soybean was most susceptible to dicamba between 820 and 1,339 GDD or from V4 to R2. Consequently, these data indicate that soybean response to 2,4-D and dicamba can be variable within vegetative or reproductive growth stages; therefore, specific growth stage at the time of exposure should be considered when evaluating injury from off-target movement. In addition, application of dicamba near susceptible soybean within the V4 to R2 growth stages should be avoided because this is the time of maximum susceptibility. Research regarding soybean sensitivity to 2,4-D and dicamba should focus on multiple exposure times and also avoid generalizing growth stages to vegetative or reproductive.
Effects of Aqueous Extract of a Combination of Nauclea Latifolia Root and Acalypha Torta Leaves on Liver , Kidney and Heart of Wistar Albino Rat

Aim: Although herbal remedies are natural, they can cause some serious damaging effects on the vital organs of the body due to deficiencies in standardization and safety regulations. The aim of this study is to investigate the toxicological effects of orally administered aqueous extract of a combination of N. latifolia root and A. torta leaves mixed in the ratio of 5:1 respectively on the liver, kidney and heart of rat. Materials and Methods: The dry root and leaf samples of N. latifolia and A. torta respectively were collected, pulverized and mixed in the ratio of 5:1 respectively. Aqueous extract of the mixture was obtained after soaking in water for 24 hours and evaporating the filtrate to dryness using Rotary Evaporator. Sub-chronic toxicities on the liver, kidney and heart were assessed following oral administration of the extract at the doses of 50.0 and 100.0mg/kg body weight for 90 days in Wistar albino rats. All the indices of liver, kidney and heart functions were measured using Randox Diagnostic Test Kits following the manufacturer’s method. A total of twenty-seven rats (120-150g) were used. Results: Results of the sub-chronic toxicity showed no adverse effects on the liver, kidney and heart of the experimental rats since there was no significant differences (p>0.05) in the serum levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), total bilirubin(TBill), creatinine, urea and lactate dehydrogenase 1 (LDh1) activity. Histopathological examination of these organs showed no organ-system perturbation with normal architectures in the liver, kidney and heart. Conclusion: These findings may suggest that these plants at the doses tested were well tolerated by the animals with little or no deleterious effects.
odeling energy and carbon fluxes in a heterogeneous oak woodland : three-dimensional approach

Most land surface and ecosystem models assume that a vegetated canopy can be abstracted as a turbid medium when such models compute mass, energy, and carbon exchange. However, those models fail to simulate radiation environments in heterogeneous landscapes. This study aims to couple a spatially explicit three-dimensional (3D) shortwave and longwave radiative transfer model with a soil and canopy energy balance and canopy physiology model (CANOAK-FLiES), to investigate how well the 3D model performs in a heterogeneous landscape compared to a 1D model. The canopy structural parameters were extracted using airborne-based Light Detection and Ranging (LiDAR) data and digital cover photographs. The developed model was compared with a wide variety of field and remote sensing data (e.g., hyperspectral remote sensing images, overstory and understory radiation, and tower-based energy and CO2 fluxes) in a woody oak savanna in CA, USA. Overall, the simulated spatial and diurnal patterns of the radiation environment were consistent with the measurements of shortwave and longwave wavebands. The 3D approach worked better than the 1D approach from the wet mild spring to the dry hot summer while the relative importance of using the 3D approach depends on climate and canopy physiological conditions as well as the canopy structure. With low leaf area index in the oak woodland, the woody elements absorbed 12%–39% of the PAR and 20%–52% of the NIR radiation. Consequently, 12% of the daytime energy flux was used as woody heat storage at our study site. This novel 3D model has the potential to serve as a useful tool for analyzing the spatio-temporal variability of radiation and energy fluxes in evaluating footprints of radiation sensors and eddy covariance fluxes, and serve as a standard in evaluating the performance of a hierarchy of simpler land surface models to compute mass and energy us lan exchange of heterogeneo
Manifold Ranking Method For Image Retrieval

Manifold Ranking (MR), a diagram based positioning calculation, has been generally connected in data recovery and appeared to have incredible execution and attainability on an assortment of information sorts. Especially, it has been effectively connected to substance based picture recovery, as a result of its exceptional capacity to find hidden geometrical structure of the given picture database. Then again, manifold positioning is computationally exceptionally costly, both in chart development and positioning calculation stages, which altogether confines its appropriateness to substantial information sets. In this paper, we broaden the first Manifold positioning calculation and propose another structure named Efficient Manifold Ranking (EMR). We plan to address the deficiencies of MR from two points of view: adaptable chart development and effective calculation. In particular, we manufacture a stay diagram on the information set rather than the conventional k-closest neighbor chart, and outline another type of nearness lattice used to accelerate the positioning calculation. The test results on a genuine picture database exhibit the viability and productivity of our proposed technique. With a total amount execution to the first manifold positioning, our system altogether lessens the computational time, makes it a promising strategy to expansive scale genuine recovery issues.
Perceptual rate-distortion optimized image compression based on block compressive sensing

Abstract. The emerging compressive sensing (CS) theory provides a paradigm for image compression. Most current efforts in CS-based image compression have been focused on enhancing the objective coding efficiency. In order to achieve a maximal perceptual quality under the measurements budget constraint, we propose a perceptual rate-distortion optimized (RDO) CS-based image codec in this paper. By incorporating both the human visual system characteristics and the signal sparsity into a RDO model designed for the block compressive sensing framework, the measurements allocation for each block is formulated as an optimization problem, which can be efficiently solved by the Lagrangian relaxation method. After the optimal measurement number is determined, each block is adaptively sampled using an image-dependent measurement matrix. To make our proposed codec applicable to different scenarios, we also propose two solutions to implement the perceptual RDO measurements allocation technique: one at the encoder side and the other at the decoder side. The experimental results show that our codec outperforms the other existing CS-based image codecs in terms of both objective and subjective performances. In particular, our codec can also achieve a low complexity encoder by adopting the decoder-based solution for the perceptual RDO measurements allocation.
A self-adaptive power control opportunistic routing based on EIETX in WSNs

A self-adaptive power control opportunistic routing APExOR based on EIETX is proposed to prolong lifetime of wireless sensor networks(WSNs). Considering of nodes'residual energy,improves IETX,and the selecting strategy for forwarding candidates set based on EIETX is proposed.Forwarding energy efficiency model is established through analyzing link quality between nodes,an algorithm with self-adaptive between forwarding candidate set and transmission power is put forward.APExOR protocol based on the above strategy and algorithm is designed.Simulation results show that,compared with power fixed ExOR protocol,APExOR protocol improves throughput and decreases energy consumption of network.
Running head: LATENT PROFILE ANALYSIS OF PSYCHOPATHIC TRAITS

LJMU has developed LJMU Research Online for users to access the research output of the University more effectively. Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Users may download and/or print one copy of any article(s) in LJMU Research Online to facilitate their private study or for non-commercial research. You may not engage in further distribution of the material or use it for any profit-making activities or any commercial gain.
Based Passive Detection of Persons for Waiting Lines Using Bluetooth Low Energy

Knowledge about the presence of persons in a waiting line can help estimating the waiting time or guiding the decision about opening a second line. However, existing presence detection systems for waiting lines are either mounted at fixed positions, take a long time to deploy, need a power connection or require users to carry devices. Past research on the analysis of the Received Signal Strength Indicator (RSSI) of a radio transmission indicates that it can be used to detect the presence of persons. Here, the accuracy of the detection is directly linked to the quality of the radio link. Radio links based on Bluetooth Low Energy (BLE) offer a stable connection, but implement a mandatory frequency hopping scheme, with the information about the current channel typically not accessible. In this work we extend the concept of passive presence detection to work on BLE radio links. We adapt two RSSI based presence detection techniques and evaluate their performance in experiments. The experimental results indicate that it is possible to achieve a 92% accuracy using BLE when compared to the ground truth.
PR ] 7 N ov 2 00 6 Directed animals in the gas Yvan

In this paper, we revisit the enumeration of directed animals using gas models. We show that there exists a natural construction of random directed animals on any directed graph together with a particle system that explains at the level of objects the formal link known between the density of the gas model and the generating function of directed animals counted according to the area. This provides some new methods to compute the generating function of directed animals counted according to area, and leads in the particular case of the square lattice to new combinatorial results and questions. A model of gas related to directed animals counted according to area and perimeter on any directed graph is also exhibited.
A Low Complexity Automated Multi-channel EEG Artifact Detection using EEGNet

A complexity reduced Convolution Neural Network (CNN) model for artifact detection of the electroencephalogram (EEG) is developed for a variety of purposes such as brain-computer interfaces (BCI), disease diagnosis, and determining cognitive states. We compare the performance of our previously designed CNN model with that of EEGNet [2] which shows an increase in average accuracy from 74% to 79% for binary classification and 60.06% to 96.15% for multi-class classification across all artifacts with 50× reduction in number of parameters.