Miracle-dz/UniFAR-FTUs huggingface dataset:
TETRANITRO-BLUE TETRAZOLIUM AND THE ELECTRON HISTOCHEMISTRY OF SUCCINIC DEHYDROGENASE

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Angiomatoid fibrous histiocytoma in an elderly male: An unusual presentation with review of literature

Angiomatoid fibrous histiocytoma (AFH) is a rare soft tissue tumor occurring mostly in children, adolescents, and young adults. Clinically and radiographically, it is difficult to differentiate AFH from hematoma, soft tissue hemangioma, and malignant fibrous histiocytoma. Here, we present the clinical, radiologic, and pathologic findings of a case of AFH due to its rarity in a 67-year-old man. The patient underwent wide surgical excision with a provisional diagnosis of sarcoma. On pathological examination, the lesion demonstrated solid-cystic nodules of histiocytes with blood-filled cysts, a dense hyaline fibrous pseudo capsule, and a very focal peripheral lymphoplasmacytic infiltrates. The tumor cells showed strong positivity for CD68, variable positivity for CD34, Desmin, EMA, negativity for CK and a low Ki67 index.
Long-term changes in the copepod community of Lake Geneva

Lake Geneva is a deep, peri-alpine lake where there has been a continuous monitoring program since the 1970s. The lake has long suffered from eutrophication. In the early 1980s, a restoration plan resulted in a progressive reduction in the phosphorus concentration. During the same period, the lake responded to large-scale climate changes by overall warming of the water, and changes in the timing of stratification. Both the composition and the phenology of the plankton have been affected. This paper focuses on the long-term changes observed in the copepod community. Our findings highlight a switch towards a copepod community dominated by calanoids. In addition we have detected a period (1986 to 1991, 1988 excluded) characterized by an unusual seasonal pattern of species succession. It is suggested that these changes have been induced by qualitative changes in the phytoplankton community, and underline fluctuations in trophic interactions between planktonic species. Re-oligotrophication and warming, therefore, emerge as indirect forcing factors, and these findings contribute to the debate about whether copepods can be used as indicators of environmental changes.
Robotic System for Tracking Moving Objects Based On Their Color

Tracking moving objects is one of a very important applications within the computer vision. The goal of object tracking is segmenting a region of interest from a video scene and keeping track of its motion and positioning. Track moving objects used in many applications such as video surveillance, robot vision, and traffic monitoring, and animation. In this paper a four-wheeled robotic system have been designed and implemented by using Arduino-Uno microcontroller. Also a useful algorithms have been developed to detect and track objects in real time. The main proposed algorithm based on the kernel based color algorithm and some geometric properties to tracking color object. Robotic system is a compromise of two principal parts which are the hardware and software parts. Hardware includes Bluetooth model to connect the phone with Arduino-Uno. Robot body consists the L298 dual H-bridge motor driver to drive four geared motor, two battery as a power supply and two servomotors to move the camera in both horizontal and vertical axis. Software is responsible for making the right decision based on the analysis of data that receives from the digital camera. Color-based tracking algorithm and border following algorithm used to detect the location of the target object in the images have been showed in the paper. All computations are accomplished within android device. Through applying the object tracking method, several parameters have been considered like frame rate, motor period time and speed of target object. All experiments were in the real environment. The proposed robotic system succeeded to track the target object with a success rate up to 97% in indoor environment.
Plasma glucose and plasma fatty acid levels of Limanda limanda (L.) in relation to season, stress, glucose loads and nutritional state

The effects of season, stress, glucose loads and nutritional state on the plasma glucose (PG) and plasma fatty acids (PFA) of Limanda limanda were examined. Plasma glucose levels showed no seasonal variation while PFA exhibited two peaks during May to August, and in December respectively. These peaks may be associated with resorption of gonadal material after spawning and the mobilization of lipid reserves for vitellogenesis. Limanda showed a hyperglycaemic response to a brief aerial emersion, followed by a hypoglycaemic condition. Infusion of a glucose load and the ingestion of a satiation meal of Mytilus edulis tissue led to a reciprocal rise and fall of PG and PFA. Short-term food deprivation had no effect upon PG although PFA rose significantly.
Differential expression analysis of defense-related genes responsive to Tilletia indica infection in wheat

Karnal bunt caused by Tilletia indica is a quarantine disease responsible for qualitative and quantitative losses in wheat. The present study aimed to determine the expression of defense-related genes involved in early stages of infection in response to T. indica by using the differential display reverse transcriptase-PCR method (DDRT-PCR) in susceptible (WL 711) and resistant (HD 29) cultivars of wheat. The DDRT-PCR banding profiles generated by the random primers in combination with oligo-dT primers of resistant and susceptible wheat plants were evaluated at 0 h, 12 h, 24 h, and 48 h after inoculation. Out of 9 sets of primers, 7 sets of primers produced remarkable induced transcripts. The highest up-regulated transcripts were observed in the resistant cultivar (HD 29), whereas the down-regulated transcripts were found in the susceptible (WL 711) cultivar. Several sets of primers were designed from the defense-related gene sequences available in the GenBank database, and of these, 4 primer sets amplified the desired specific bands. Based on the putative functions, 3 defense-related genes, namely puroindoline protein PINB (AT- KB2), \Beta-1,4-glucanase (AT- KB3), and chitinase (AT- KB7), and 1 housekeeping gene, actin (AT- KB1), were characterized.
Generalization Guarantees for Multi-Modal Imitation Learning

Control policies from imitation learning can often fail to generalize to novel environments due to imperfect demonstrations or the inability of imitation learning algorithms to accurately infer the expert's policies. In this paper, we present rigorous generalization guarantees for imitation learning by leveraging the Probably Approximately Correct (PAC)-Bayes framework to provide upper bounds on the expected cost of policies in novel environments. We propose a two-stage training method where a latent policy distribution is first embedded with multi-modal expert behavior using a conditional variational autoencoder, and then "fine-tuned" in new training environments to explicitly optimize the generalization bound. We demonstrate strong generalization bounds and their tightness relative to empirical performance in simulation for (i) grasping diverse mugs, (ii) planar pushing with visual feedback, and (iii) vision-based indoor navigation, as well as through hardware experiments for the two manipulation tasks.
Evaluation of Olives Cultivated in Southern Italy by Simple Sequence Repeat Markers

Olive (Olea europaea L.) is a species of great economic importance in the Mediterranean basin. Italy is very important for the olive industry; in fact, olive's genetic patrimony is very rich and characterized by an abundance of cultivars. At present, the majority of ancient landraces are vegetatively propagated by farm. It is likely that the number of cultivars is underestimated because of inadequate information on minor local cultivars that are widespread in different olive-growing areas. The existence of many cultivars reinforces the need for a reliable identification method. It is important to improve the ex situ plant germplasm collection and fairly to characterize all cultivars for future breeding programs. In the present report, we used 11 loci microsatellites to characterize 211 olive cultivars of an olive collection cultivated in six regions of southern Italy. These regions represent the major area for olive cultivation in Italy and have a strategic geographical location in the Mediterranean basin. The dendrogram obtained, using the unweighted pair group method with arithmetic mean clustering algorithm, depicts the pattern of relationships between the studied cultivars. There is a clear structuring of the variability relative to the geographic origin of olive cultivars. This work, for the very high number of the Italian olive cultivars analyzed, highlights the degree and distribution of genetic diversity of this species for better exploitation of olive resources and for the design of plant breeding programs. Besides, the use of molecular markers, like simple sequence repeats, is imperative to build a database for cultivar analysis, for traceability of processed food, and for appropriate management of olive germplasm collections.
ADME pharmacogenetics: current practices and future outlook

Background: Genetic variants of ADME (absorption, distribution, metabolism and elimination) related genes have been consistently associated with pharmacokinetic properties of numerous drugs. However, the association between these genetic markers and clinical outcomes remains controversial. Objective: Inform future pharmacogenetic ADME research and define the terms and practices for the utility of this approach. Methods: Review of case studies, where ADME genetic markers have been applied, either successfully or inefficiently. In each case, the level of evidence was examined by reviewing independent, soundly designed reports. The impact on health outcomes that may, or may not, demonstrate clinical utility was also assessed. Conclusions: ADME genetic markers can account for clinically relevant variance as related to drug response phenotypes, but scant evidence has been produced thus far to demonstrate their clinical utility. Particularly in the context of drug development, several considerations and practices are suggested, which may guide proper analysis, interpretation and translation into improved healthcare in a cost-effective fashion.
NUMERICAL SIMULATION OF PULSATILE BLOOD FLOW IN AN IDEALIZED CURVED SECTION OF A HUMAN CORONARY ARTERY

The computational fluid dynamics simulations (CFD) has been carried in an idealized curved section of human coronary artery using multiphase transient, pulsatile and non-Newtonian flow. The study of behavior of affected flow regions of blood cells in arteries has significant impact in understanding atherogenesis. The non-Newtonian model is applied to fluid dynamics approach consisting of plasma, RBCs, and leukocytes was studied to arrive at numerical simulations of local hemodynamics in a flow regime. This CFD model study helps in finding the flow patterns, phase distributions and wall shear simulate and to examine the behavior of fluid, and find out that it depends on both volume fractions and shear rate of RBCs and leukocytes. The migration and segregation of blood cells in arteries were computed. When higher leukocyte concentration was predicted, it was correlated with relatively low WSS near the curvature having a high wall shear stress. This action is mainly due to flow-dependent particle interactions of the leukocytes with RBCs in pulsatile flow. This multiphase hemodynamic analysis will be of great help in following the mechanism of plaque formation in arteries with in vivo complex flow conditions. KeywordsMultiphase Flow; Non-Newtonian; Computational Fluid Dynamics; Wall Shear Stress; Particle Build up
Densely Connected Residual Network for Attack Recognition

High false alarm rate and low detection rate are the major sticking points for unknown threat perception. To address the problems, in the paper, we present a densely connected residual network (Densely-ResNet) for attack recognition. Densely-ResNet is built with several basic residual units, where each of them consists of a series of Conv-GRU subnets by wide connections. Our evaluation shows that Densely-ResNet can accurately discover various unknown threats that appear in edge, fog and cloud layers and simultaneously maintain a much lower false alarm rate than existing algorithms.
A Syringe Gas-Stripping Procedure for Gas-Chromatographic Determination of Dissolved Inorganic and Organic Carbon in Fresh Water and Carbonates in Sediments

A simple, rapid method for determining dissolved inorganic carbon in water is described. A 20-cm3 sample of water is drawn into a 50-cm3 polypropylene syringe and acidified by injection of 1 cm3 of dilute sulphuric acid. Twenty-nine cubic centimeters of helium at atmospheric pressure is injected into the syringe followed by 10 sec of manual agitation to partition CO2 between gas and liquid phase. The gas phase containing 60% of CO2 from the sample is then analyzed by gas chromatography. This method has been used to determine dissolved inorganic and organic carbon in Canadian Shield waters and to determine total carbonates in sediments.
THE RELATION OF LEAF WATER DEFICIT TO SOIL MOISTURE TENSION IN PINUS SYLVESTRIS L.

Summary Diurnal variation in the water balance of 2–3 year Pinus sylvestris in pots has been compared at four levels of soil moisture during 24 hours. The physical component of the soil moisture suction was measured with tensiometers and gravimetric gypsum blocks and estimated as o.1, 0.5, 1–2 and >5 atmospheres for the four levels. Leaf water deficit was expressed as a percentage of the water at turgidity, transpiration as the loss in fresh weight of a leaf sample during 1–11 minutes after cutting, and stomatal opening was measured by infiltration with alcoholic gentian violet. Increase in soil moisture tension caused a progressive increase in leaf water deficit, and a decrease in transpiration and stomatal opening, the latter being reduced both in number of open stomata and in the time for which they remained open during the day. The relative value of these measurements as indices of plant water balance and of soil moisture conditions is discussed together with a brief consideration of the relation between transpiration rate and soil moisture. It is concluded that leaf water deficit, transpiration and stomatal opening all reflect increase in soil moisture suction but that, during the day, they are affected also by other factors which obscure the direct effect of soil moisture. However, in the case of leaf water deficit an equilibrium is attained between plant and soil before sunrise. If measured in the morning, before the onset of stomatal transpiration, leaf water deficit appears to be closely related to the soil moisture conditions experienced by the plant. This measurement is suggested as the best plant index of the soil moisture suction in the vicinity of the roots. The persistence of appreciable deficits in wet, drained soil indicates that factors other than the physical soil moisture tension oppose water uptake.
Certificateless Proxy Reencryption Scheme (CPRES) Based on Hyperelliptic Curve for Access Control in Content-Centric Network (CCN)

Information-centric networking is the developing model envisioned by an increasing body of the data communication research community, which shifts the current network paradigm from host centric to data centric, well-known to information-centric networking (ICN). Further, the ICN adopts different types of architectures to extend the growth of the Internet infrastructure, e.g., name-based routing and in-network caching. As a result, the data can be easily routed and accessed within the network. However, when the producer generates contents for authentic consumers, then it is necessary for him/her to have a technique for content confidentiality, privacy, and access control. To provide the previously mentioned services, this paper presents a certificateless proxy reencryption scheme (CPRES) based on the hyperelliptic curve for access control in the content-centric network (CCN). Using certificateless PRE, the power of the key generation center (KGC) is limited to only the generation of partial keys to secure the access to the content. With the help of these partial keys, the producer further calculates keys for encryption and reencryption process. The simulation results show that the proposed scheme provides secure access to content during end-to-end communication. Moreover, the proposed CPRES scheme outperforms in terms of low computational energy and efficient utilization of communication bandwidth.
Synthetic to Real Unsupervised Domain Adaptation for Single-Stage Artwork Recognition in Cultural Sites

Recognizing artworks in a cultural site using images acquired from the user's point of view (First Person Vision) allows to build interesting applications for both the visitors and the site managers. However, current object detection algorithms working in fully supervised settings need to be trained with large quantities of labeled data, whose collection requires a lot of times and high costs in order to achieve good performance. Using synthetic data generated from the 3D model of the cultural site to train the algorithms can reduce these costs. On the other hand, when these models are tested with real images, a significant drop in performance is observed due to the differences between real and synthetic images. In this study we consider the problem of Unsupervised Domain Adaptation for object detection in cultural sites. To address this problem, we created a new dataset containing both synthetic and real images of 16 different artworks. We hence investigated different domain adaptation techniques based on one-stage and two-stage object detector, image-to-image translation and feature alignment. Based on the observation that single-stage detectors are more robust to the domain shift in the considered settings, we proposed a new method based on RetinaNet and feature alignment that we called DA-RetinaNet. The proposed approach achieves better results than compared methods. To support research in this field we release the dataset at the following link this https URL and the code of the proposed architecture at this https URL.
Application of Aspergillus niger SA1 for the enhanced bioremoval of azo dyes in Simulated Textile Effluent

Biological remediation is always envisaged as cost effective and eco-friendly for the treatment of recalcitrant dyes and effluents. Aspergillus niger SA1, a brown rot fungi, isolated from storage pond of textile wastewater, showed a great mineralizing ability for azo dyes, acid red (AR) 151 and orange (Or) II. Decolorization assays were carried out for 24 h, by taking 100 ml of dye containing Simulated Textile Effluent (STE) with 5 g of freshly grown fungal pellets. Decolorization of AR 151 was well over 95% under different conditions, however, it reduced to 52% when treated with pre-used fungal biomass under shaking condition. In case of Or II, results were 50 and 61% under static while 65 and 85% under shaking condition with fresh and pre-used fungal biomass respectively. Primarily, dyes removal in STE appeared due to biosorption/bioadsorption of the fungal biomass. However, discoloration of dyes onto the biomass with subsequent formation and then decline in their products in STE suggested clearly that dyes were basically metabolically degraded by the fungal strain.
Fingertip data fusion of Kinect v2 and leap motion in unity

This paper describes how the data fusion and application of Kinect v2 and Leap Motion in Unity3D are implemented. Firstly, it implements a method based on Kinect v2 to obtain fingertips. Then, it calibrates Kinect v2 and Leap Motion in two different orientations in two steps. The preliminary calibration uses a one-dimensional calibration rod algorithm, and the fine calibration keeps approximating the true value through iteration, which realizes the joint calibration of the two. Finally, this paper uses Unity3D to fuse the data of the two types of equipment and conducts human-computer interaction with the virtual object in the virtual space of Unity3D. Experiments show that the method proposed in this paper can extend the hand tracking range and improve the accuracy of the collision between the human hand and the virtual object. RÉSUMÉ. Cet article décrit comment la fusion des données et l'application de Kinect v2 et de Leap Motion dans Unity3D sont mises en pratique. Premièrement, il s’applique une méthode basée sur Kinect v2 pour obtenir le bout des doigts. Ensuite, il calibre Kinect v2 et Leap Motion dans deux orientations différentes en deux étapes. La calibration préliminaire utilise un algorithme de tige de calibration unidimensionnelle, et la calibration fine continue à se rapprocher de la valeur vraie par itération, ce qui réalise la calibration conjointe des deux. Enfin, cet article utilise Unity3D pour fusionner les données des deux types d'équipement et effectue une interaction homme-machine avec l'objet virtuel dans l'espace virtuel d'Unity3D. Les expériences montrent que la méthode proposée dans cet article peut élargir la plage de suivi de la main et améliorer la précision de la collision entre la main humaine et l'objet virtuel.
Bio-activity of oils of Trigonella foenum-graecum and Pongamia pinnata

Different concentration of oils obtained from two plants species belonging to family Fabaceae i.e. Trigonella foenum-graecum and Pongamia pinnata were evaluated for their antifungal and antibacterial activity against Aspergillus niger, A. fumigatus, Staphylococcus aureus and Pseudomonas aeruginosa by MIC determination and dry-weight method. Both the oils showed high degree of antimycotic and antibacterial activity. P. pinnata oil was more effective as compared to oil of T. foenum-gracecum. A. niger and S. aureus were more sensitive to oil of P. pinnata. Chemical analysis of oils performed by gas chromatography (GC) and gas chromatography/mass spectrometry (GC-MS) showed the presence of fatty acids.