Miracle-dz/UniFAR-FTUs huggingface dataset:
Molecular cloning and sequence analysis of a ras gene from Schizosaccharomyces pombe.

We have cloned a ras gene homologue from fission yeast Schizosaccharomyces pombe and determined its nucleotide sequence. A putative coding sequence for 219 amino acids was found. The sequence contained one set of splicing signals: GTAAGT for a donor sequence, ACTAA for a unique sequence found in introns of yeast genes and TAG for an acceptor sequence, indicating the existence of an intron. The amino‐terminal one third of the predicted S. pombe ras protein was nearly perfectly homologous and the next one third moderately homologous to those of mammalian ras proteins. The carboxy‐terminal one third showed no homology but terminated with a short conserved sequence Cys‐X‐X‐Z (X being a hydrophobic amino acid) as in other ras proteins. The result of Southern analysis of S. pombe DNA under nonstringent hybridization conditions using our clone as a probe indicated that no other closely related gene may be present in the S. pombe genome. The transcript of this gene could be detected by Northern analysis.
Crop Sensor-Based In-Season Nitrogen Management of Wheat with Manure Application

It is difficult to predict the crop-available nitrogen (N) from farmyard manures applied to soil. The aim of this study was to assess the usefulness of the proximal sensors, Yara N-TesterTM and RapidScan CS-45, for diagnosing the N nutritional status of wheat after the application of manures at sowing. Three annual field trials were established (2014–2015, 2015–2016 and 2016–2017) with three types of fertilizer treatments: dairy slurry (40 t ha−1 before sowing), sheep manure (40 t ha−1 before sowing) and conventional treatment (40 kg N ha−1 at tillering). For each treatment, five different mineral N fertilization doses were applied at stem elongation: 0, 40, 80, 120, and 160 kg N ha−1. The proximal sensing tools were used at stem elongation before the application of mineral N. Normalized values of the proximal sensing look promising for adjusting mineral N application rates at stem elongation. For dairy slurry, when either proximal sensor readings were 60–65% of the reference plants with non-limiting N, the optimum N rate for maximizing yield was 118–128 kg N ha−1. When the readings were 85–90%, the optimum N rate dropped to 100–110 kg N ha−1 for both dairy slurry and conventional treatments. It was difficult to find a clear relationship between sensor readings and yield for sheep manure treatments. Measurements taken with RapidScan C-45 were less time consuming and better represent the spatial variation, as they are taken on the plant canopy. Routine measurements throughout the growing season are particularly needed in climates with variable rainfall. The application of 40 kg N ha−1 at the end of winter is necessary to ensure an optimal N status from the beginning of wheat crop development. These research findings could be used in applicator-mounted sensors to make variable-rate N applications.
Finger counting in the four quadrants as a method of visual field gross screening.

The purpose of this paper is to call attention to a simple, rapid method of visual field gross screening. The title of this test might be called "Finger-Counting Fields. " The patient is asked to gently occlude all the vision of one eye with the palm of his hand and stare at the nose of the examiner. The patient is then asked to count either "one or two" fingers the examiner is holding at right angles to the line of peripheral vision, 1 to 3 ft. from the patient's eye, 40 to 60 degrees from fixation, in the 4 quadrants of the visual field. When the fingers are held at greater distances from the patient's eye, the test is made more sensitive. The average normaleyed patient can count correctly either 1 or 2 fingers to a distance of 6 to 10 ft. from the single eye at an angle of 40
Peroxynitrite reduces myocardial infarct size and preserves coronary endothelium after ischemia and reperfusion in cats.

BACKGROUND Peroxynitrite (ONOO-) is purported to exert cytotoxic effects at high doses. However, physiologically relevant concentrations of ONOO- inhibit polymorphonuclear neutrophil (PMN) adhesion to the endothelium and attenuate PMN-mediated contractile dysfunction in isolated perfused rat hearts. We are unaware of any reports in vivo showing effects of peroxynitrite in myocardial ischemia and reperfusion (MI/R). Thus, the purpose of this study was to examine the in vivo effects of a physiologically relevant concentration of ONOO- (1 micromol/L) in a feline model of MI/R injury. METHODS AND RESULTS ONOO- (1 micromol/L) or its vehicle (0.9% NaCl at pH 8.4) was infused intraventricularly, starting 10 minutes before reperfusion in cats subjected to 90 minutes of myocardial ischemia and 4.5 hours of reperfusion. ONOO(-)-treated cats demonstrated marked attenuation of cardiac necrosis after MI/R compared with cats receiving only vehicle (P<.001). Moreover, vasorelaxation of ischemic-reperfused left anterior descending (LAD) coronary artery rings in response to the endothelium-dependent dilators acetylcholine and A23187 was greater in rings isolated from ONOO(-)-treated MI/R cats compared with MI/R cats receiving only vehicle, indicating that postreperfusion coronary vascular endothelial function was preserved by ONOO-. ONOO- also significantly reduced adherence of neutrophils to the ischemic-reperfused LAD coronary endothelium. Immunohistochemical localization of P-selectin was also significantly attenuated in hearts from ONOO(-)-infused MI/R cats. CONCLUSIONS These data suggest that physiologically relevant concentrations of ONOO- exert significant cardioprotective and vasculoprotective effects in MI/R in cats, at least partially by attenuating PMN-endothelium interactions.
Leukemia Inhibitory Factor Enhances Survival of Cardiomyocytes and Induces Regeneration of Myocardium After Myocardial Infarction

Background—Myocardial infarction (MI) is a leading cause of cardiac morbidity and mortality in many countries; however, the treatment of MI is still limited. Methods and Results—We demonstrate a novel gene therapy for MI using leukemia inhibitory factor (LIF) cDNA. We injected LIF plasmid DNA into the thigh muscle of mice immediately after inducing MI. Intramuscular injection of LIF cDNA resulted in a marked increase in circulating LIF protein concentrations. Two weeks later, left ventricular remodeling, such as infarct extent and myocardial fibrosis, was markedly attenuated in the LIF cDNA–injected mice compared with vehicle-injected mice. More myocardium was preserved and cardiac function was better in the LIF-treated mice than in the vehicle-injected mice. Injection of LIF cDNA not only prevented the death of cardiomyocytes in the ischemic area but also induced neovascularization in the myocardium. Furthermore, LIF cDNA injection increased the number of cardiomyocytes in cell cycle and enhanced mobilization of bone marrow cells to the heart and their differentiation into cardiomyocytes. Conclusions—The intramuscular injection of LIF cDNA may induce regeneration of myocardium and provide a novel treatment for MI.
In Vivo Protein Cyclization Promoted by a Circularly Permuted Synechocystis sp. PCC6803 DnaB Mini-intein*

A synthetic Synechocystis sp. PCC6803 DnaB split mini-intein gene was constructed for the in vivocyclization of recombinant proteins expressed in Escherichia coli. The system was used to cyclize the NH2-terminal domain of E. coli DnaB, the structure of which had been determined previously by NMR spectroscopy. Cyclization was found to proceed efficiently, with little accumulation of precursor, and the product was purified in high yield. The solution structure of cyclic DnaB-N is not significantly different from that of linear DnaB-N and it unfolds reversibly at temperatures ∼14 °C higher. Improved hydrogen bonding was observed in the first and last helices, and the length of the last helix was increased, while the 9-amino acid linker used to join the NH2 and COOH termini was found to be highly mobile. The measured thermodynamic stabilization of the structure (ΔΔG ≈ 2 kcal/mol) agrees well with the value estimated from the reduced conformational entropy in the unfolded form. Simple polymer theory can be used to predict likely free energy changes resulting from protein cyclization and how the stabilization depends on the size of the protein and the length of the linker used to connect the termini.
A novel antifolate resistance gene on the amplified H circle of Leishmania.

In several Leishmania spp. , resistance to methotrexate and other drugs is often associated with amplification of the chromosomal H region in the form of extrachromosomal H circles. We report here that the H circle of Leishmania tarentolae contains an 867 bp open reading frame, ltdh, which mediates high levels of resistance to methotrexate and other antifolates, after transfection. The predicted amino acid sequence of the ltdh gene product has significant similarities to a family of short‐chain dehydrogenases, enzymes that are involved in several oxido‐reduction reactions in a wide range of organisms. To resist antifolates, Leishmania amplifies the ltdh gene as part of the H circle. We propose that LTDH might be involved in an alternative pathway for the synthesis of reduced folates and that ltdh overproduction represents a novel mechanism for resistance to antifolates. Our results support the hypothesis that the H region of the Leishmania genome contains several drug resistance genes and that preferential amplification of this region has evolved as a defense mechanism against cytotoxic drugs.
Chondrosarcomas of bones of the hands and feet—a study of 30 cases

Chondrosarcomas of the bones of the hands and feet are uncommon. A review of 30 lesions revealed that, histologically, they may be difficult to distinguish from benign cartilaginous tumors of soft tissue or of bony origin. Roentgenographic features and the operative findings may afford critical evidence for the nature of the disease. Pain is commonly present, in contrast with its rarity in chondromas. Conservative local operative procedures are nearly always followed by recurrence. Amputation of a digit, of the affected ray, or of part or all of the hand or foot, as indicated by the location and extent of the tumor, affords a good chance for cure.
4D video textures for interactive character appearance

4D Video Textures (4DVT) introduce a novel representation for rendering video‐realistic interactive character animation from a database of 4D actor performance captured in a multiple camera studio. 4D performance capture reconstructs dynamic shape and appearance over time but is limited to free‐viewpoint video replay of the same motion. Interactive animation from 4D performance capture has so far been limited to surface shape only. 4DVT is the final piece in the puzzle enabling video‐realistic interactive animation through two contributions: a layered view‐dependent texture map representation which supports efficient storage, transmission and rendering from multiple view video capture; and a rendering approach that combines multiple 4DVT sequences in a parametric motion space, maintaining video quality rendering of dynamic surface appearance whilst allowing high‐level interactive control of character motion and viewpoint. 4DVT is demonstrated for multiple characters and evaluated both quantitatively and through a user‐study which confirms that the visual quality of captured video is maintained. The 4DVT representation achieves >90% reduction in size and halves the rendering cost.
Techno-Economic Evaluation of a Stand-Alone Power System Based on Solar / Battery for a Base Station of Global System Mobile Communication

Energy consumption in cellular networks is receiving significant attention from academia and the industry due to its significant potential economic and ecological influence. Energy efficiency and renewable energy are the main pillars of sustainability and environmental compatibility. Technological advancements and cost reduction for photovoltaics are making cellular base stations (BSs; a key source of energy consumption in cellular networks) powered by solar energy sources a long-term promising solution for the mobile cellular network industry. This paper addresses issues of deployment and operation of two solar-powered global system for mobile communications (GSM) BSs that are being deployed at present (GSM BS 2/2/2 and GSM BS 4/4/4). The study is based on the characteristics of South Korean solar radiation exposure. The optimum criteria as well as economic and technical feasibility for various BSs are analyzed using a hybrid optimization model for electric renewables. In addition, initial capital, replacement, operations, maintenance, and total net present costs for various solar-powered BSs are discussed. Furthermore, the economic feasibility of the proposed solar system is compared with conventional energy sources in urban and remote areas.
Carbonate substitution in precipitated hydroxyapatite: an investigation into the effects of reaction temperature and bicarbonate ion concentration.

Carbonate substitution in the apatite crystal lattice can occur in either the hydroxyl or the phosphate sites, designated as A or B type, respectively, and previous investigations generally have described precipitated carbonate hydroxyapatite as being B type on the basis of infra red and X-ray data. This paper documents the effects of two precipitation variables, namely temperature and bicarbonate ion concentration, on the morphology, phase composition, and calcium, phosphorus, and carbon contents of precipitated carbonate hydroxyapatite. Variations in both temperature and bicarbonate concentration could yield either acicular or spheroidal crystals. X-ray diffraction and infra red spectroscopy indicated the presence of carbonate in the A site for low carbonate contents (< 4 wt%), and at higher carbonate contents (> 4 wt%), the carbonate was located predominantly in the B site. On the basis of these observations and chemical analyses, a new AB carbonate substitution mechanism is proposed that better describes the experimental data than the B-type models used previously.
Crowd Naturalness Driven Mobile Cognition Scheme in Human Computer Interaction Dialogue System

—In order to improve the quality and efficiency of the system, we proposed a mobile cognitive mechanism based on crowd. In order to meet the users and complete tasks in real time, based on the intelligent interaction of human and machine, the dialogue system can be adapted to the work situation and the allocation of resources. In addition, in order to meet the needs of intelligent interactive dialogue system, we give a method for computing the natural degree of human computer interaction in time domain and spatial domain. Based on the natural degree of crowd, a mobile cognitive mechanism is proposed, which is suitable for the interactive dialogue system. Simulation results verify the effectiveness and feasibility of the proposed scheme.
Model predictive-based voltage regulation of an islanded distributed generation unit

This paper presents a Discrete-time Model Predictivebased Control strategy for the voltage regulation of an islanded distributed generation (DG) unit. The DG unit includes a voltage source converter (VSC) interfaced to the grid through a switch and a coupling transformer. An RLC branch is also connected in parallel at the point of common coupling (PCC) at the DG-side of the switch. Assuming an open switch and an islanded mode of operation, the Discrete-time Model Predictive-based Controller (DMPC) is adopted to regulate the direct and quadrature (dq) components of the load voltages. The frequency of the load voltage is also regulated in an open loop. In this paper, the design procedure is detailed. Then adopting a laboratory scale setup, the performance of the proposed control strategy is experimentally evaluated. The test results verify the capability of the controller in regulating the load voltages in the nominal plant, and also in the presence of load parameters uncertainties and nonlinear loads.
Dynamic Data During Hypotensive Episode Improves Mortality Predictions Among Patients With Sepsis and Hypotension*

Objectives:To determine if a prediction rule for hospital mortality using dynamic variables in response to treatment of hypotension in patients with sepsis performs better than current models. Design:Retrospective cohort study. Setting:All ICUs at a tertiary care hospital. Patients:Adult patients admitted to ICUs between 2001 and 2007 of whom 2,113 met inclusion criteria and had sufficient data. Interventions:None. Measurements and Main Results:We developed a prediction algorithm for hospital mortality in patients with sepsis and hypotension requiring medical intervention using data from the Multiparameter Intelligent Monitoring in Intensive Care II. We extracted 189 candidate variables, including treatments, physiologic variables and laboratory values collected before, during, and after a hypotensive episode. Thirty predictors were identified using a genetic algorithm on a training set (n = 1500) and validated with a logistic regression model on an independent validation set (n = 613). The final prediction algorithm used included dynamic information and had good discrimination (area under the receiver operating curve = 82.0%) and calibration (Hosmer–Lemeshow C statistic = 10.43, p = 0.06). This model was compared with Acute Physiology and Chronic Health Evaluation IV using reclassification indices and was found to be superior with an Net Reclassification Improvement of 0.19 (p < 0.001) and an Integrated Discrimination Improvement of 0.09 (p < 0.001). Conclusions:Hospital mortality predictions based on dynamic variables surrounding a hypotensive event is a new approach to predicting prognosis. A model using these variables has good discrimination and calibration and offers additional predictive prognostic information beyond established ones.
Hybrid modeling of power system using hybrid Petri nets

Current techniques of power system modeling provide individual modeling methodologies for continuous and discrete-event dynamics, but do not allow scripting of complex behavioral sequence as is required. This paper describes a new methodology for modeling of power system using hybrid Petri nets (HPNs). The HPNs describe hybrid systems, which allow the modeling of coupled discrete-event and continuous dynamics within one integrated description language. The HPN power system model includes protective relaying model and on load tap changer transformer model. This approach has been used to model and analyze the complex interactions occurring in power system.
Modellgestützte Optimierung des Neubaus und Einsatzes von Erzeugungsanlagen und Speichern für elektrische und thermische Energie im deutschen Energiesystem

In dieser Arbeit werden Perspektiven fur eine volkswirtschaftlich optimale Strom- und Warmeerzeugungsstruktur in Deutschland aufgezeigt. Hierfur wird ein bestehendes elektrisches Energiesystemmodell um die Abbildung des Warmesektors erweitert. Eine umfangreiche Datenrecherche und -aufbereitung liefert Eingangsgrosen zur Modellanwendung. Fur mehrere Szenarien wird bei vorgegebenen Emissionsgrenzen der optimale Erzeugungs- und Speicherpark fur Strom und Warme bestimmt. Es zeigt sich, dass die verstarkte Kopplung von Strom- und Warmesektor signifikante Kostensenkungspotenziale bietet.
Unsupervised radio map learning for indoor localization

For radio-based indoor localization, the approaches founded on the radio fingerprint concept are efficient duo to low cost and the ability to handle occlusion effects. However, the approaches require a lot of human labor to label training data for radio map (fingerprint) construction. To address this issue, in this paper, we proposed an unsupervised framework to learn a Wi-Fi radio map in an indoor environment. Unlike conventional approaches that depend on a simulated radio map or a prior radio propagation model to reduce human efforts, our method uses Wi-Fi and IMU signals collecting by crowdsourcing to build a robust radio map automatically. More concretely, four types of constraints are fused by the proposed radio map optimization procedure. They include the alignment of Wi-Fi landmarks, the displacement constraint, the manifold-based smooth constraint, and the inter-trajectory constraints. Our experiment results also show the effectiveness of the unsupervised radio map.
Connecting contexts

This essay is a response to Askegaard and Linnet’s (2011, ‘Towards an Epistemology of Consumer Culture Theory: Phenomenology and the Context of Context’, Marketing Theory 11(4): 381–404) call for a greater epistemological plurality within consumer culture theory (CCT). The article begins with a brief review of what these authors refer to as the dominant existential–phenomenological perspective and their Morinian alternative and then presents contemporary political philosophy as another alternative. Political philosophy has experienced quite a renaissance in recent years, and the school of thought has inspired major epistemological and ontological interventions throughout the academy. Here, I provide a general introduction to this field of social inquiry and then focus specifically on the contributions of French philosopher Alain Badiou. Badiou’s work is particularly valuable for fields such as CCT, as it presents a unified epistemological framework for developing knowledge of social structures, cultural forms and subjectivities. The utility of political philosophy in general as well as the Badiouian framework is then demonstrated with recourse to the extant CCT literature. Ultimately, a Badiouian perspective has the potential to fulfil Askegaard and Linnet’s call for epistemologies that can attend to everyday experience while also considering the operation of cultural, political and sociological forces.
Edge Intelligence-Assisted Smoke Detection in Foggy Surveillance Environments

Smoke detection in foggy surveillance environments is a challenging task and plays a key role in disaster management for industrial systems. The current smoke detection methods are applicable to only normal surveillance videos, providing unsatisfactory results for video streams captured from foggy environments, due to challenges related to clutter and unclear contents. In this paper, an energy-friendly edge intelligence-assisted smoke detection method is proposed using deep convolutional neural networks for foggy surveillance environments. Our method uses a light-weight architecture, considering all necessary requirements regarding accuracy, running time, and deployment feasibility for smoke detection in an industrial setting, compared to other complex and computationally expensive architectures including AlexNet, GoogleNet, and visual geometry group (VGG). Experiments are conducted on available benchmark smoke detection datasets, and the obtained results show better performance of the proposed method over state-of-the-art for early smoke detection in foggy surveillance.
Power-Aware Test Framework for Network-on-Chip

In this paper, we propose the power-aware test framework for network-on-chip (NoC). First, the possibility of using embedded processor and on-chip network are introduced and evaluated with benchmark system to test the other embedded cores. Second, a new generation method of test pattern, which is called 'don't care mapping', is presented to reduce the power consumption of on-chip network. The experimental results show that the power consumption is reduced up to 8% at the communication components.