Miracle-dz/UniFAR-FTUs huggingface dataset:
Clinical applications of feature-tracking cardiac magnetic resonance imaging

Cardiovascular diseases represent the leading cause of mortality and morbidity in the western world. Assessment of cardiac function is pivotal for early diagnosis of primitive myocardial disorders, identification of cardiac involvement in systemic diseases, detection of drug-related cardiac toxicity as well as risk stratification and monitor of treatment effects in patients with heart failure of various etiology. Determination of ejection fraction with different imaging modalities currently represents the gold standard for evaluation of cardiac function. However, in the last few years, cardiovascular magnetic resonance feature tracking techniques has emerged as a more accurate tool for quantitative evaluation of cardiovascular function with several parameters including strain, strain-rate, torsion and mechanical dispersion. This imaging modality allows precise quantification of ventricular and atrial mechanics by directly evaluating myocardial fiber deformation. The purpose of this article is to review the basic principles, current clinical applications and future perspectives of cardiovascular magnetic resonance myocardial feature tracking, highlighting its prognostic implications.
Frugivorous Flies (Diptera: Tephritidae, Lonchaeidae) Associated with Fruit Production on Ilha de Santana, Brazilian Amazon

Abstract We conducted a survey of the species of frugivorous flies (Tephritidae and Lonchaeidae), their hosts, and their parasitoids found on Ilha de Santana, Amapá State, Brazilian Amazon. We also assessed host plant use by Bactrocera carambolae Drew & Hancock. Fruits were collected from various plant species, at 30 d intervals, from Jan to Jul 2015. In total, 149 fruit samples were collected (3,142 fruits, 76.3 kg), belonging to 20 plant species (9 native and 11 introduced) in 13 botanical families. Infestation by fruit flies was observed in 86 samples (11 species in 8 botanical families). Specimens of 5 species of Tephritidae and 4 species of Lonchaeidae fruit flies were obtained, as well as 3 species of braconid parasitoids. The most important fruit fly species on Ilha de Santana are: B. carambolae, for being a species of quarantine importance; and Anastrepha obliqua (Macquart) and Anastrepha striata Schiner, for infesting plant species of local socioeconomic importance. Averrhoa carambola (Oxalidaceae), Eugenia uniflora (Myrtaceae), Malpighia emarginata (Moc. & Sesse) ex DC. (Malpighiaceae), and Psidium guajava (Myrtaceae) are the host plants responsible for sustaining the population of B. carambolae.
Prediction of turbulent flow and local heat transfer in internally cooled turbine airfoils: the leading edge region

A multiblock numerical method has been employed for the calculation of threedimensional flow and heat transfer in the leading edge of a large-scale impingimentcooled turbine airfoil. The finite-analytic method solves the Reynolds-Averaged Naviers-Stokes equations and the energy equation in conjunction with a two-layer k-e isotropic eddy viscosity model and a near-wall Reynolds-Stress closure model. The fundamental cases of fully developed turbulent pipe flow and an axisymmetric jet impinging on a flat plate are also computed and compared with experimental data to asses the two turbulence models. Comparison of the two-layer model and the Reynolds-Stress model calculations clearly shows the anisotropic behavior of turbulence resulting from impingiment. The predicted flow fleld showed flow separation and recirculation after impingiment on the leading edge region. The predicted local heat transfer distribution on the leading edge of the turbine blade shows a maximum near the stagnation region with a gradual decrease in Nusselt number in the spanwise direction.
Abnormal Serum Sodium and Chloride Concentrations May Contribute to Cognitive Dysfunction during Severe Isovolemic Anemia

To the Editor:—Being from an institution that has experience in portaccess heart surgery, I would like to make a few comments regarding a recent article in ANESTHESIOLOGY. Dr. Chaney et al. are to be congratulated for their efforts to provide controlled data regarding the advantages and disadvantages of portaccess cardiac surgery. Most of the Discussion section of their article dealt with the longer procedure times, greater technical complexity, uncertain benefits, and potential new morbidity related to port-access versus standard operation. As a matter of perspective, the article of Chaney et al. must be interpreted with caution. The results presented are clearly an early experience with port-access at one institution. Recent data from 738 patients undergoing port-access valve surgery at 27 institutions showed that operative times improve with experience even after 200 cases. As the authors admit, their reported initial experience with 46 patients was characterized by the lack of comfort of surgeons, anesthesiologists, and perfusionists that normally would accompany the adoption of new technology. After 400 port-access cases at Duke University, port-access procedures have become sufficiently streamlined that all anesthesia staff, cardiac operating room nursing staff, and perfusionists are quite comfortable with port-access techniques. More complex technologies of fluoroscopy, percutaneous pulmonary artery venting, percutaneous coronary sinus catheters, and centrifugal venous assist have been minimized. It may be useful to remember the early days of laparoscopic cholecystectomy when similar concerns of increased operating room time, increased complexity, and uncertain outcome caused resistance among physicians for several years. Ultimately, streamlined technology and overwhelming patient demand have made laparoscopic cholecystectomy, but not necessarily other laparoscopic surgeries, dominant procedures today. The ultimate role for port access will be decided not only by future controlled studies examining more mature technologies, but also by the patients.
Key Spatial Relations-based Focused Crawling (KSRs-FC) for Borderlands Situation Analysis

Place names play an important role in Borderlands Situation topics, while current focused crawling methods treat them in the same way as other common keywords, which may lead to the omission of many useful web pages. In the paper, place names in web pages and their spatial relations were firstly discussed. Then, a focused crawling method named KSRs-FC was proposed to deal with the collection of situation information about borderlands. In this method, place names and common keywords were represented separately, and some of the spatial relations related to web pages crawling were used in the relevance calculation between the given topic and web pages. Furthermore, an information collection system for borderlands situation analysis was developed based on KSRs-FC. Finally, F-Score method was adopted to quantitatively evaluate this method by comparing with traditional method. Experimental results showed that the F-Score value of the proposed method increased by 11% compared to traditional method with the same sample data. Obviously, KSRs-FC method can effectively reduce the misjudgement of relevant webpages.
An Unsupervised Rule Generation Approach for Online Complex Event Processing

Complex event processing (CEP) is a technique for analyzing and correlating large amount of information about events that happen in a timely manner, and being in a position to derive conclusions or even respond to them as quickly as possible. Complex events are raised based on incoming sources productions and according to a set of user-defined rules. However, as the complexity of CEP systems grow, the process for manually defining rules becomes time and resource consuming or even impossible as dynamic changes occur in the domain environment. Moreover, it restricts the use of CEP to merely the detection of straightforward situations than in more advanced fields that require earliness and prediction. Therefore, we present a novel approach for completing the supervision of an unsupervised structure learning task. More precisely, we propose to incorporate an unsupervised technique that derives labels for unlabelled data, depended on their distance. From these results, we automatically generate CEP rules to feed the system. In order to evaluate our approach, we used a real world data-set with data labeled by experts. The evaluation indicates that our approach can effectively complete the missing labels and, in some cases, improve the accuracy of the underlying CEP structure learning system.
Maximizing Soil Carbon Sequestration: Assessing Procedural Barriers to Carbon Management in Cultivated Tropical Perennial Grass Systems

The natural capacity of the terrestrial landscape to capture and store carbon from the atmosphere can be used in cultivated systems to maximize the climate change mitigation potential of agricultural regions. A combination of inherent soil carbon storage potential, conservation management, and rhizosphere inputs should be considered when making landscape‐level decisions about agriculture if climate change mitigation is an important goal. However, the ability to accurately predict soil organic carbon accumulation follow‐ ing management change in the tropics is currently limited by the commonly available tools developed in more temperate systems, a gap that must be addressed locally in order to facilitate these types of landscape‐level decisions. Here, we use a case study in Hawaii to demonstrate multiple approaches to measuring and simulating soil carbon changes after the implementation of zero‐tillage cultivation of perennial grasses following more than a century of intensive sugarcane cultivation. We identify advancements needed to overcome the barriers to potential monitoring and projection protocols for soil carbon storage at our site and other similar sites.
Single Step Two Stage Method For Second Order Singular Initial Value Problems

The classical Runge-Kutta-Nystrom methods cannot be applied directly to solve second order singular initial value problem, due to the singularity at x = 0, These methods require some special procedure to obtain the solution at the first step and are thus not self starting. We have obtained the self starting explicit two stage Runge-Kutta-Nystrom method . Presented method is exact for y = 1 besides having the polynomial order. The numerical result for two problems obtained and compared with the classical Runge- Kutta-Nystrom method. The numerical results demonstrate their superiority over the classical method.
Optimal Sculling Velocity Algorithms for the Gyros With Angular Rate Output

With the advance of gyro technology, modern gyros have two output types: angular rate or integrated angular rate. However, the conventional sculling velocity algorithms usually still adopt integrated angular rate/specific-force increments as algorithm inputs. So the engineer must convert the angular rate into integrated angular rate by digital integration to use them. This step will produce non-negligible computational error. To solve this issue, we proposed two types of novel optimal sculling algorithms using angular rate input. The advantage of the novel algorithms is that they can directly calculate out the carrier velocity without converting the angular rate of gyro output into integrated angular rate. Hence, they have a higher accuracy than the conventional sculling algorithms. The results of digital simulations also demonstrate this conclusion.
Explorer Reference Distorted Prices

I show that when consumers (mis)perceive prices relative to reference prices, budgets turn out to be soft, prices tend to be lower and the average quality of goods sold decreases. These observations provide explanations for decentralized purchase decisions, for people being happy with a purchase even when they have paid their valuation, and for why trade might a¤ect high quality local rms
Sibling species delimitation and nomenclature of the Merodon avidus complex (Diptera: Syrphidae)

A study of the relationships between 21 southern European, Moroccan and Turkish populations of the Merodon avidus species complex was carried out. Based on a parallel study of type material from several museums, documented diagnostic morphological characters, season of adult activity and geographical distribution, we justify the use of the following names for three closely related taxa in this complex: M. avidus (Rossi, 1790), M. moenium (Wiedemann, 1822), and M. ibericus Vujic nom. n. (new name for M. bicolor Gil Collado, 1930, preoccupied by M. bicolor Walker, 1852). Neotypes of Merodon avidus, M. spinipes (Fabricius, 1794) and M. quadrilineatus Lioy, 1864 are designated. Lectotype of Merodon moenium (Wiedemann in Meigen, 1822) is designated here. A cluster analysis of DNA barcoding sequences clearly separated M. ibericus, but not M. avidus and M. moenium, even though the lack of shared haplotypes, analysis of molecular variance (AMOVA), pairwise Φst values together with allozyme and ecological niche analyses revealed statistically significant percentage of variation among all three species in the Merodon avidus complex. Analysis of 5 diagnostic enzyme loci revealed the presence of genetic differentiation among the M. avidus/moenium complex populations investigated (Fst = 0.654) and species-specific alleles were found at the AAT locus. The presence of two separate related taxa within the M. avidus/moenium complex was further supported by an UPGMA tree based on Nei's (1978) genetic distances. The value of Nei's measure of genetic identity (I = 0.520) between two large (meta) populations of M. avidus and M. moenium suggest that these taxa are sibling species. Populations from Djerdap (Serbia) confirmed the presence of temporal divergence between these species at a locality where they occur sympatrically, while spring and autumn populations from Umag (Croatia) provide an example of morphological plasticity within the species M. avidus. Ecological niche analysis contributed to the species delimitation. Review of the available genetic and ecological data confirmed our hypothesis that the M. avidus species complex, in addition to M. ibericus Vujic nom. n. from the Iberian Peninsula, consists of two sibling species in the rest of Europe and indicated their recent speciation.
CMOS-Memristive Self-Cascode Current Mirror

Current mirror (CM) is one of the main building blocks in analog circuit design, especially for large neuromorphic and neuro-inspired circuits and systems. The characteristics of CM directly affect the performance, power dissipation and scalability of circuit. Therefore, it is important to enhance the performance of CM circuits. This paper presents a modification of self-cascode based CM circuit showing the feasibility of replacing CMOS transistors with memristive devices without deteriorating the performance of the circuit. The proposed CM circuit has an operating voltage of 0.5 V and current range of $1-100\ \mu \mathbf{A}$. We show the variability analysis, temperature variations and frequency analysis. Comparing to the CMOS design, application of memristive components ensure the reduction of power consumption and on-chip area by 13% and 14%, respectively.
Modified SEPIC Converter Utilizing an Improved P&O Algorithm for Design of Low Cost and Efficient Solar Energized Water Pump

This paper proposes a reliable and an efficient PV (Photovoltaic) powered water pump using a modified SEPIC converter with high static gain. The modified SEPIC converter has low switch voltage stress with high efficiency. It provides almost twice the static gain as compared to conventional boost converter and provides relatively large area for execution of maximum power point tracking (MPPT) controller. The switched reluctance motor (SRM) drive speed is controlled by using pulse width modulation (PWM) of a mid-point converter using only one voltage sensor. It supports to reduce the size of DC link capacitor and provides soft starting to drive via regulating the DC bus voltage. The operation of modified SEPIC converter in continuous inductor current mode (CICM) minimizes the stress on its devices and improves its conversion performance. An improved P&O (Perturb and observe) MPPT technique is used in proposed system. This MPPT controller has an additional advantage of regulating the flow rate of water pumping by adjusting the duty cycle of proposed DC-to-DC converter. The design procedure of system is described and a test bed is developed to verify its aptness under changing climate situations.
Attention Map Input Frame Attention Regularization + Training : Classification loss + Attention regularization Prediction : Binary classification Reciprocate Forward Backward Figure 1

Visual attention, derived from cognitive neuroscience, facilitates human perception on the most pertinent subset of the sensory data. Recently, significant efforts have been made to exploit attention schemes to advance computer vision systems. For visual tracking, it is often challenging to track target objects undergoing large appearance changes. Attention maps facilitate visual tracking by selectively paying attention to temporal robust features. Existing tracking-by-detection approaches mainly use additional attention modules to generate feature weights as the classifiers are not equipped with such mechanisms. In this paper, we propose a reciprocative learning algorithm to exploit visual attention for training deep classifiers. The proposed algorithm consists of feed-forward and backward operations to generate attention maps, which serve as regularization terms coupled with the original classification loss function for training. The deep classifier learns to attend to the regions of target objects robust to appearance changes. Extensive experiments on large-scale benchmark datasets show that the proposed attentive tracking method performs favorably against the state-of-the-art approaches.
Particle swarm metaheuristic applied to the optimization of a PID controller

This paper presents the optimization of a PID controller by means of particle swarm optimization metaheuristic. Each particle corresponds to a vector that contains the gains of the PID multimodal actions. The controller is implemented on a scale plant designed for air pressurization in a storage tank. The results obtained are compared with an advanced predictive DMC controller, showing the superiority of the proposed methodology to optimize the PID controller.
Immunity, Improving and Retrieving the lost entanglement of accelerated qubit-qutrit system via local Filtering

The possibility of immunized and improving the entanglement of accelerated systems via local filtering is discussed. The maximum bounds of entanglement depend on the dimensions of the accelerated and the filtered subsystems. If the small dimensional subsystem is accelerated and the large dimensional subsystem is filtered, one can get a long-lived entanglement. Moreover, if the larger subsystem is accelerated, then by filtering any subsystem, the upper bounds of entanglement of the filtered state are larger then that for the initial states.For any accelerated subsystem, the entanglement always increases as the filter strength of the large dimensional subsystem increases.
Based Study on Zbtb 7 Protein ( Zinc Finger and BTB Domain Containing 7 A )

Zbtb7, originally named Pokemon, is a gene that may act as a master switch for cancer, and is responsible for the evolution of cancer. The gene is unique in that it is needed for other oncogenes to cause cancer. The original name, Pokemon, stands for "POK erythroid myeloid ontogenic factor" and is most likely a backronym of the Pokémon media franchise [13] . We determined the 3-D structure of Zbtb7 protein by using Homology Modelling and also predicted the active sites and cavities in modelled protein. This information helped us in docking studies. Afterwards docking of modelled protein was performed with ligand molecules. These ligands are Taxol, Topotecan, Vinblastine, Irenotecan. It was found that taxol binds to modelled protein with 3 hydrogen bonds as well as having minimum binding energy. So we concluded that Taxol is best drug for Pockmen disease.
Simulating Volatilization Losses from Anhydrous Ammonia Applications: A Simple Laboratory Exercise

Anhydrous ammonia, the most widely used nitrogen (N) fertilizer in production agriculture, can be subject to extensive losses by volatilization if it is not carefully applied. A laboratory exercise was developed for a senior-level soil nutrient management class to help students learn the impact of rate, application depth,andsoiltextureonammonia(NH3)volatilizationfromanhydrous ammonia. Sand and loam soil textures were evaluated at 5-, 10-, and 15-cm application depths and 112 and 224 kg N ha -1 rates of NH3, simulated by reacting ammonium chloride (NH4Cl) and sodium hydroxide (NaOH). Soil-retained ammonium (NH4) was measured in a potassium chloride (KCl) extraction of the soil 1 wk after treatment. Students developed a table and graphs that showed trends in NH3 loss with respect to applicationdepth,soiltexture,andfertilizerrate.Lossesranged from 85% for the high N rate applied at 5 cm in sandy soil to 1.0% for the low rate applied at 15 cm in loam soil. The exercise helped students identify causes of NH3 loss associated with anhydrous ammonia application. ANHYDROUS AMMONIA is the most widely used nitrogen (N) fertilizerinproductionagriculturetodaywithmorethan15billionkgproducedannuallyforagriculturaluseintheUSA(The Fertilizer Inst., 2000). Its high N percentage (82%) and relatively low cost make it an important N fertilizer source. A common concern associated with the application of anhydrous ammonia is the loss of N by volatilization. Several factors such as soil pH, soil moisture, soil texture, and depth of application play a large role in the amount of N lost by
Business Intelligence Benefits and its Areas

The amount of the information in business is growing at a very high rate. Turning information into knowledge is important for a successful enterprise. Guided by the increased competitiveness due to changing business models and the growth of the demand for new applications, many companies are adopting Business Intelligence (BI) technologies, data warehouse (DW) and systems that help the decision making process. Companies have realized the importance of implementing BI strategies in achieving their business goals. Many of them are making BI functionality more useful for all decision makers, officers and employees who deal with clients. Product quality specialists can now use the appropriate data in Data Warehouse to analyze the quality of the product. After a successful analysis of data on products they can find rules and patterns that lie behind and consequently help the quality analysts and managers to make better decisions regarding quality management. This paper focuses on the importance and advantages offered by BI in the decision-making process by analyzing the factors, technologies and best techniques for the implementation of BI.
Synthesis and characterization of gold nanoparticles using Ficus religiosa extract

We report a cost effective and eco-friendly biosynthesis of gold nanoparticles (F-AuNPs) using aqueous extract of Ficus religiosa as the reducing and stabilizing agent. These nanoparticles were characterized by various techniques such as UV-Vis, XRD, TEM and FTIR. The characteristic surface plasmon peak was observed at 540 nm while XRD analysis suggested it to be a face-centered cubic (fcc) structure with peaks at 38.06, 44.46, 64.75 and 77.56. FTIR studies indicated the capping of the nanoparticles with polyphenols, amines and carboxylates present in the extract of Ficus religiosa whereas TEM analysis showed spherical morphology with other shapes such as triangles and hexagons. The F-AuNPs were found to be non-toxic to HEK 293 cells, thereby suggesting their potential application in the field of nanobiotechnology.