Miracle-dz/UniFAR-FTUs huggingface dataset:
Expression and secretion in Aspergillus nidulans and Aspergillus niger of a cell surface glycoprotein from the cattle tick, Boophilus microplus, by using the fungal amdS promoter system

A cell surface glycoprotein (Bm86) from cells of the digestive tract of the cattle tick Boophilus microplus, which has been shown to elicit a protective immunological response in vaccinated cattle, was expressed and secreted in the filamentous fungi Aspergillus nidulans and Aspergillus niger by using the fungal amdS promoter system. The cloned gene coded for the Bm86 secretory signal and all of the Bm86 mature polypeptide except for the hydrophobic carboxy-terminal segment. High levels of Bm86 mRNA were detected in the transformed cells. Bm86 polypeptide was secreted from the cells in a soluble form and it was glycosylated, probably to a similar extent to the native glycoprotein. The recombinant product had an apparent molecular mass of 83 to 87 kilodaltons, whereas that predicted from the amino acid sequence was 69 kilodaltons. The Bm86 was expressed at levels of up to 1.8 mg/liter, or approximately 6% of secreted protein under the growth conditions used. No intracellular Bm86 was detected. A general relationship was observed between transformants containing a high number of copies of the expression plasmid and high expression levels.
Free Space Estimation using Occupancy Grids and Dynamic Object Detection

In this paper we present an approach to estimate Free Space from a Stereo image pair using stochastic occupancy grids. We do this in the domain of autonomous driving on the famous benchmark dataset KITTI. Later based on the generated occupancy grid we match 2 image sequences to compute the top view representation of the map. We do this to map the environment. We compute a transformation between the occupancy grids of two successive images and use it to compute the top view map. Two issues need to be addressed for mapping are discussed - computing a map and dealing with dynamic objects for computing the map. Dynamic Objects are detected in successive images based on an idea similar to tracking of foreground objects from the background objects based on motion flow. A novel RANSAC based segmentation approach has been proposed here to address this issue.
Leadership Analysis Using Management Tools : Steve Jobs

Many great leaders have led companies to growth and prosperity in various ways with different styles. In the technology sector, Steve Jobs is one of the most celebrated leaders. Steven Levy stated that Steve Jobs was the most passionate leader one could hope for, a motivating force without parallel (Markoff, 2011). His leadership, defined by his personality and traits, could be observed and evaluated from the perspective of several models and theories. Table A1, in Appendix A, lists several assessment tools that define Steve Jobs’s leadership.
Prediction of signal-to-noise ratio gain for passive higher-order correlation detection of energy transients

In general, higher‐order correlation detectors perform well in passive detection for signals of high third‐ and fourth‐order moments. Previous studies by the authors have shown that the normalized third‐ and fourth‐order signal moments are reliable indicators of higher‐order correlation detector performance [Pflug et al. (1992b)]. For a deterministic energy transient of known moments through fourth order, it is possible to predict theoretically the amount of gain over an ordinary cross‐correlation detector for a bicorrelation or tricorrelation detector applied in a noise environment of known variance. In this paper, formulas that predict detector performance for passive detection at the minimum detectable level are derived. The noise is assumed to be stationary and zero mean with Gaussian correlation central ordinate probability density functions. To test the formulas, SNR detection and gain curves are generated using hypothesis testing and Monte Carlo simulations on a set of test signals. The test signal.
Failure of adefovir 20 mg to improve suboptimal response in lamivudine‐resistant hepatitis B patients treated with adefovir 10 mg and lamivudine

Summary. Nine patients with lamivudine‐resistant chronic hepatitis B infection who had been treated with adefovir 10 mg/day and had had a suboptimal response but did not have genotypic resistance to adefovir were treated with high‐dose adefovir (20 mg/day). The response to the increased dose of adefovir was compared with the response in 15 patients with a suboptimal response who did not receive an increase in the dose of adefovir. The increase in the dose of adefovir did not lead to a significant reduction in hepatitis B DNA when compared with patients maintained on the standard dose. These data suggest that increasing the dose of adefovir in patients with a suboptimal response does not lead to an improved response.
Affektintegrasjon og nivåer av mental representasjon: Fokus for terapeutisk intervensjon i Affektbevissthetsmodellen (Tidsskrift for Norsk Psykologforening)

Endring i terapi vokser frem pa mikroplanet gjennom den terapeutiske dialogen. Ofte er det vanskelig for terapeuter a se nyanser i pasientens responser og vite hva en skal adressere for a fremme slik endring. Affektbevissthetsmodellen spesifiserer seks fokusnivaer som hjelper terapeuter til a se hva pasienter til enhver tid strever med og hvordan en kan intervenere for a fremme optimal utvikling.
Electromagnetic Energy-Harvesting Damper With Multiple Independently Controlled Transducers: On-Demand Damping and Optimal Energy Regeneration

An active or semiactive dampers can change its damping property to maintain the tradeoff between ride quality and road handling; however, semiactive dampers need external power supply and active dampers even require considerable power consumption. A regenerative damper has the ability of tuning the damping without the requirement of an external power supply. The aim of this study is to investigate a novel method to conveniently adjust the on-demand damping according to road condition by regenerating vehicle vibration to electricity. In this paper, we propose an electromagnetic energy-harvesting damper with 12 independently-controlled slot winding transducers (SWTs) to investigate the active control method of damping and energy reclaiming from a regenerative damper. By switching on an appropriate number of SWTs and tuning their external resistance to an optimal value, the energy-harvesting damper can both provide on-demand damping and reclaim as much electrical power as possible. Experiments on an MTS testing system showed that both changing the number of switch-on SWTs and tuning their external resistors can adjust the damping coefficient of the energy-harvesting damper, and, hence, the damping tuning can be extended to a large range. The output electrical power was measured on different shunted external resistors, demonstrating that the maximum reclaim of electrical power can be achieved when the shunted resistor is equal to the internal resistance of the SWT. By appropriately arranging the number of switch-on SWTs and their shunted resistors, the electromagnetic energy-harvesting damper can produce on-demand damping, which tuning method is convenient and almost linear. Moreover, thanks to the multiple independently controlled transducers, the proposed energy-harvesting damper can regenerated as much electrical power as possible from the vehicle vibration.
Anthocyanin/Polyphenolic–Rich Fruit Juice Reduces Oxidative Cell Damage in an Intervention Study with Patients on Hemodialysis

Hemodialysis patients face an elevated risk of cancer, arteriosclerosis, and other diseases, ascribed in part to increased oxidative stress. Red fruit juice with high anthocyanin/polyphenol content had been shown to reduce oxidative damage in healthy probands. To test its preventive potential in hemodialysis patients, 21 subjects in a pilot intervention study consumed 200 mL/day of red fruit juice (3-week run-in; 4-week juice uptake; 3-week wash-out). Weekly blood sampling was done to monitor DNA damage (comet assay ± formamidopyrimidine-DNA glycosylase enzyme), glutathione, malondialdehyde, protein carbonyls, trolox equivalent antioxidant capacity, triglycerides, and DNA binding capacity of the transcription factor nuclear factor-κB. Results show a significant decrease of DNA oxidation damage (P < 0.0001), protein and lipid peroxidation (P < 0.0001 and P < 0.001, respectively), and nuclear factor-κB binding activity (P < 0.01), and an increase of glutathione level and status (both P < 0.0001) during juice uptake. We attribute this reduction in oxidative (cell) damage in hemodialysis patients to the especially high anthocyanin/polyphenol content of the juice. This provides promising perspectives into the prevention of chronic diseases such as cancer and cardiovascular disease in population subgroups exposed to enhanced oxidative stress like hemodialysis patients. (Cancer Epidemiol Biomarkers Prev 2008;17(12):3372–80)
An Investigation of Sources of Randomness Within Discrete Gaussian Sampling

This paper presents a performance and statistical analysis of random number generators and discrete Gaussian samplers implemented in software. Most Lattice-based cryptographic schemes utilise discrete Gaussian sampling and will require a quality random source. We examine a range of candidates for this purpose, including NIST DRBGs, stream ciphers and well-known PRNGs. The performance of these random sources is analysed within 64-bit implementations of Bernoulli, CDT and Ziggurat sampling. In addition we perform initial statistical testing of these samplers and include an investigation into improper seeding issues and their effect on the Gaussian samplers. Of the NIST approved Deterministic Random Bit Generators (DRBG), the AES based CTR-DRBG produced the best balanced performance in our tests.
Search Result Diversity Evaluation Based on Intent Hierarchies

Search result diversification aims at returning diversified document lists to cover different user intents of a query. Existing diversity measures assume that the intents of a query are disjoint, and do not consider their relationships. In this paper, we introduce intent hierarchies to model the relationships between intents, and present four weighing schemes. Based on intent hierarchies, we propose several hierarchical measures that take into account the relationships between intents. We demonstrate the feasibility of hierarchical measures by using a new test collection based on TREC Web Track 2009-2013 diversity test collections and by using NTCIR-11 IMine test collection. Our main experimental findings are: (1) Hierarchical measures are more discriminative and intuitive than existing measures. In terms of intuitiveness, it is preferable for hierarchical measures to use the whole intent hierarchies than to use only the leaf nodes. (2) The types of intent hierarchies used affect the discriminative power and intuitiveness of hierarchical measures. We suggest the best type of intent hierarchies to be used according to whether the nonuniform weights are available. (3) To measure the benefits of the diversification algorithms which use automatically mined hierarchical intents, it is important to use hierarchical measures instead of existing measures.
Multiple Description Video Coding Based on Hierarchical B Pictures Using Unequal Redundancy

Multiple description video coding (MDC) is one of the approaches for reducing the detrimental effects caused by transmission over error-prone networks. In this paper, a MDC model based on hierarchical B pictures is proposed to optimize the tradeoff between coding efficiency and error resilience. The model produces two descriptors by applying different MDC techniques such as duplication, spatial splitting and temporal splitting on the different frames of video sequences, taking into account unequal importance of frames at different hierarchical levels. Duplication (high redundancy) is for key frames: spatial splitting (medium redundancy) for reference B frames, and temporal splitting (low redundancy) for nonreference B frames. For one descriptor loss, the model applies different estimation methods, but for the two descriptor loss case, the same temporal estimation is employed. As a consequence, better error resilience can be achieved at high coding efficiency. The advantages of the proposed model are demonstrated in error-free and packet loss networks.
Holistic assessment of call centre performance

In modern call centres 60–70% of the operational costs come in the form of the human agents who take the calls. Ensuring that the call centre operates at lowest cost and maximum efficiency involves a trade-off of the cost of agents against lost revenue and increased customer dissatisfaction due to lost calls. Modelling the performance characteristics of a call centre in terms of the agent queue alone misses key performance influencers, specifically the interaction between channel availability at the media gateway and the time a call is queued. A blocking probability at the media gateway, as low as 0.45%, has a significant impact on the degree of queuing observed and therefore the cost and performance of the call centre. Our analysis also shows how abandonment impacts queuing delay. However, the call centre manager has less control over this than the level of contention at the media gateway. Our commercial assessment provides an evaluation of the balance between abandonment and contention, and shows that the difference in cost between the best and worst strategy is £130K per annum, however this must be balanced against a possible additional £2.98 m exposure in lost calls if abandonment alone is used.
Measurements of Plasma-Generated Hydroxyl and Hydrogen Peroxide Concentrations for Plasma Medicine Applications

Low-temperature, atmospheric pressure plasmas (LTPs) produce reactive oxygen and nitrogen species [O, O<sup>-</sup><sub>2</sub>, O<sub>2</sub> (<sup>1</sup>Δ), hydroxyl (OH), H<sub>2</sub>O<sub>2</sub>, NO, NO<sub>2</sub> . ]. In biological and medical applications, the concentrations and fluxes of these species play a crucial role in the biological outcomes. Many of these species are produced in the gaseous phase and at the gas-liquid interface when LTP is applied to biological media. In the medium, the plasma-produced oxygen reactive species and nitrogen reactive species generate long-lived species, such as hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>), nitrites (NO<sup>-</sup><sub>2</sub>), nitrates (NO<sup>-</sup><sub>3</sub>), and organic peroxides (RO<sub>2</sub>). In particular, hydrogen peroxide is known to cause various oxidizing reactions in biological cells. One of the pathways to the creation of hydrogen peroxide is the reaction between OH radicals. Therefore, the measurement of OH concentration is of great importance. In this paper, we report on the measurements of OH in the gas-liquid interface using laser-induced fluorescence and measurements of H<sub>2</sub>O<sub>2</sub> concentration in biological media. In addition, the effects of plasma activated media on cancer cells are briefly discussed.
Center-of-mass motion in the many-body theory of Bose-Einstein condensates

Institute of Physics, Polish Academy of Sciences and College of Science, Lotniko´w 32/46, 02-668 Warsaw, Poland~Received 21 January 2002; published 3 June 2002! The method of generating a family of new solutions starting from any wave function satisfying the nonlinearSchro¨dinger equation in a harmonic potential proposed recently @J. J. Garci ´a-Ripoll, V. M. Pe´rez-Garcia, and V.Vekslerchik, Phys. Rev. E 64, 056602 ~2001! # is extended to the many-body theory of mutually interactingparticles. Our method is based on a generalization of the displacement operator known in quantum optics, andresults in the separation of the center-of-mass motion from the internal dynamics of many-body systems. Thecenter-of-mass motion is analyzed for an anisotropic rotating trap and a region of instability for intermediaterotational velocities is predicted.DOI: 10.1103/PhysRevA.65. 063606 PACS number~s! : 03.75. Fi, 03.65. 2w, 05.30. JpI. INTRODUCTION
Recent Advances of Amorphous Wire CMOS IC Magneto-Impedance Sensors: Innovative High-Performance Micromagnetic Sensor Chip

We analyzed and organized the reasons why the amorphous wire CMOS IC magneto-impedance sensor (MI sensor) has rapidly been mass-produced as the electronic compass chips for the smart phones, mobile phones, and the wrist watches. Comprehensive advantageous features regarding six terms of (1) microsizing and ultralow power consumption, (2) high linearity without any hysteresis for the magnetic field detection, (3) high sensitivity for magnetic field detection with a Pico-Tesla resolution, (4) quick response for detection of magnetic field, (5) high temperature stability, and (6) high reversibility against large disturbance magnetic field shock are based on the magneto-impedance effect in the amorphous wires. We have detected the biomagnetic field using the Pico-Tesla resolution MI sensor at the room temperature such as the magneto-cardiogram (MCG), the magneto-encephalogram (MEG), and the self-oscillatory magnetic field of guinea-pig stomach smooth muscles (in vitro) that suggest the origin of the biomagnetic field is probably pulsive flow of Ca2
Coalition formation game of dual-identity nodes for improving PHY security of wireless networks

In wireless communication, coalitional game theory has been a promising approach for analyzing cooperative networks to improve the physical layer security. In this paper, we propose a new model in which each user acts as a dual-identity node, a data source or a friendly jammer, and then formulize the cooperation problem based on the proposed model as a coalitional game. Furthermore, we propose a novel distributed algorithm based on “merge-and-split rules”, based on which the dual-identity nodes can mutually effect and cooperate into disjoint independent coalitions which can maximize the total secrecy capacity of all the users with a fixed power constraint. Finally, the coalitional structure is got and the validity of the proposed algorithm is verified by the simulation results as improving the secrecy capacity of each user comparing with the non-cooperative case. In addition, the self-adaption of the network's topology is also studied.
Improving the Failure Understanding in Embedded Systems through Interactive Visual Support: An Evaluation Story

Effectively analyzing failure mechanisms is critical for ensuring safety and reliability aspects in embedded systems. This requires close collaborations between the system engineers who design the system and the safety experts who analyze the failures. To support this process, we present an interactive visual environment, called ESSAVis++, that helps in extracting the required safety information about the failure mechanisms in the underlying embedded system. In this paper, we focus mainly on the conducted user evaluation study to compare between ESSAVis++ and ESSaRel (a tool used in industry) in terms of accuracy, efficiency, and user acceptance. The goal was to determine the suitability and effectiveness of a common interactive visual environment that would be used by the system engineers and safety experts during the safety analysis process in embedded systems. Results indicate an increase in participants' efficiency and accuracy levels using the ESSAVis++ platform, due to the visual support and provided interaction options. We also observed a high acceptance rate among the participants towards ESSAVis++, mainly due to its intuitive visualizations.
1 CHARACTER RECOGNITION WITHOUT SOUND OR MEANING

A long-running debate in Chinese psycholinguistics has concerned the relative roles of semantics and phonology in reading Chinese characters. Some researchers argue that character reading requires activation of phonological representations, while others maintain the traditional view that Chinese readers generally access meanings directly without phonological mediation. This paper describes an experiment that addresses this debate from a novel direction: Chinese readers were asked to report what they know about simple characters with unfamiliar meanings and/or pronunciations. The "phonology-first" view predicts that it should be impossible to know the meaning of a character without knowing its pronunciation, while the "semantics-first" view predicts that it should be impossible to know the pronunciation of a character without knowing its meaning. Our experiment showed that both situations can exist, though with quantitative and qualitative differences: knowing the pronunciation without knowing the meaning is a somewhat more common occurrence, though it arises most often with characters that share a phonological component with other characters, while knowing the meaning without the pronunciation most often occurs when readers have an alternative (nonstandard) pronunciation for the character or when the character is used as a quasi-linguistic symbol. Moreover, a signal detection analysis found no difference in sensitivity to meaning vs. pronunciation. At the same time, however, readers were strongly biased in their confidence judgments about phonology. Our results thus reaffirm support for a more nuanced position in the debate over Chinese reading, one where both phonology and semantics play key roles in reading.
Structural emergency control for power grids

In this paper, we introduce a structural emergency control to render post-fault dynamics of power systems from the critical fault-cleared state to a stable equilibrium point (EP). Theoretically, this is a new control paradigm that does not rely on any continuous measurement or load shedding, as in the classical setup. Instead, the grid is made stable by intentionally changing the power network structure, and thereby, discretely relocating the EP and its stability region such that the system is consecutively driven from fault-cleared state through a set of EPs to the desired EP. The proposed control is designed by solving convex optimization problems, making it possibly scalable to large-scale power grids. In the practical side, the proposed control can be implemented by exploiting the FACTS devices that will be widely available on the grids, and hence, requiring minor investment.