Miracle-dz/UniFAR-FTUs huggingface dataset:
Succession and Regulation Factors of Small Eukaryote Community Composition in a Lacustrine Ecosystem (Lake Pavin)

ABSTRACT The structure and dynamics of small eukaryotes (cells with a diameter less than 5 μm) were studied over two consecutive years in an oligomesotrophic lake (Lake Pavin in France). Water samples were collected at 5 and 30 m below the surface; when the lake was stratified, these depths corresponded to the epilimnion and hypolimnion. Changes in small-eukaryote structure were analyzed using terminal restriction fragment length polymorphism (T-RFLP) and cloning and sequencing of the 18S rRNA genes. Terminal restriction fragments from clones were used to reveal the dominant taxa in T-RFLP profiles of the environmental samples. Spumella-like cells (Chrysophyceae) did not dominate the small eukaryote community identified by molecular techniques in lacustrine ecosystems. Small eukaryotes appeared to be dominated by heterotrophic cells, particularly Cercozoa, which represented nearly half of the identified phylotypes, followed by the Fungi-LKM11 group (25%), choanoflagellates (10.3%) and Chrysophyceae (8.9%). Bicosoecida, Cryptophyta, and ciliates represented less than 9% of the community studied. No seasonal reproducibility in temporal evolution of the small-eukaryote community was observed from 1 year to the next. The T-RFLP patterns were related to bottom-up (resources) and top-down (grazing) variables using canonical correspondence analysis. The results showed a strong top-down regulation of small eukaryotes by zooplankton, more exactly, by cladocerans at 5 m and copepods at 30 m. Among bottom-up factors, temperature had a significant effect at both depths. The concentrations of nitrogenous nutrients and total phosphorus also had an effect on small-eukaryote dynamics at 5 m, whereas bacterial abundance and dissolved oxygen played a more important structuring role in the deeper zone.
Interactive Visualization to Optimize Treatment Choices for Individual Patients

In recent years sophisticated approaches have been developed to permit computerized processing and visualizing of clinical practice guidelines. However, visualizing the various interdependencies between the execution of a treatment plan and the patient’s condition is still a largely unresolved task. To fill this gap we will develop a prototype dealing with this task along with interactive means to support the exploration of effects of applied treatment plans on selected parameters of a patient. Thus, we allow physicians to assess success or failure of previously applied treatment plans and to optimize the therapy for the individual patient.
Study of Multilevel Programming in Programmable Metallization Cell (PMC) Memory

Programmable metallization cell (PMC) memory, also known as conductive bridging RAM (CBRAM), is a resistive-switching memory based on non-volatile formation and dissolution of a conductive filament (CF) in a solid electrolyte. Although ease of fabrication, promising performance and multilevel (ML) capability make the PMC a possible candidate for post-flash non-volatile memories, further physical understanding is required to better assess its true potential. In this work, we investigate the kinetics involved in the programming operation (i.e., transition from the high resistance to the low resistance state), which occurs by voltage-driven ion migration and electrochemical deposition, and results in CF formation and growth. The main kinetic parameters controlling the programming operation are extracted from our electrical data. Also, CF growth and corresponding resistance decrease is shown to be controllable with reasonable accuracy in pulse mode by employing a variable load resistance which can dynamically control the programming kinetics. A semi-analytical physical model is shown to account for experimental data and allows for the engineering of fast and reliable ML programming in one transistor-one resistor (1T-1R) devices.
Effect of short-term heat acclimation with permissive dehydration on thermoregulation and temperate exercise performance Running Head: Heat acclimation and temperate exercise Original Investigation

We examined the effect of short-term heat acclimation with permissive dehydration (STHADe) on heat acclimation (HA) and cycling performance in a temperate environment. Ten trained male cyclists (Mean(SD) maximal oxygen uptake: 63.3(4.0)mL·kg -1 ·min -1 ; peak power output [PPO]: 385(40)W; training: 10(3)hours·week -1 ) underwent a STHADe programme consisting of five-days of exercise (maximum 90mins·day -1 ) in a hot environment (40°C, 50%RH) to elicit isothermic heat strain (rectal temperature 38.64(0.27)°C). Participants abstained from fluids during, and 30-minutes after, HA sessions. Preand post-STHADe HA was evaluated during euhydrated fixed-intensity exercise (60mins) in hot conditions; the effect of STHADe on thermoregulation was also examined under temperate conditions (20mins fixed-intensity exercise; 22°C, 60%RH). Temperate cycling performance was assessed by a graded exercise test (GXT) and 20-km time trial (TT). STHADe reduced thermal and cardiovascular strain in hot and temperate environments. Lactate threshold (∆=16(17)W) and GXT PPO (∆=6(7)W) were improved following STHADe (P<0.05), but TT performance was not affected (P>0.05), although there was a trend for a higher mean power (P=0.06). In conclusion, STHADE can reduce thermal and cardiovascular strain under hot and temperate conditions and there is some evidence of ergogenic potential for temperate exercise, but longer HA regimens may be necessary for this to meaningfully influence performance.
Atomic norm method for DOA estimation in random sampling condition

A novel direction-of-arrival (DOA) estimation method based on atomic norm in missing data condition is proposed. This method can exactly recover the missing data in random distribution and get the precise estimated result. A generalized atomic norm model with missing data is built to change the data recovery problem into a semidefinite programming issue. The dual problem and parameters selection are also analyzed to accelerate the proposed method. An enhanced covariance matrix sparse representation method is introduced for final DOA estimation. This method can deal with the coherent signal condition without any decorrelation preprocessing. Simulation experiments are conducted to validate the effectiveness of the proposed method and the results of several existing sparse representation based methods are also given for comparison.
A novel approach for image steganalysis

Since JPEG images have been widely used in our daily life, the steganalysis for JPEG images becomes very important and significant. The Article addresses steganalysis in static images based on DCT transformed region, able to recognize the most popular steganography algorithms occurring on the Internet. We propose a new steganalysis method, where statistical properties of the image are explored, regardless the embedding procedure employed. The feature set used for classification of images consists of 285 statistical features. Experimental results show that in comparing with the universal steganalysis method for JPEG stego images, our method improves detection of widely used steganographic method in detection process, which provides observable differences in investigation performance.
Filter coefficients of the fractional Hilbert transforms of biorthogonal wavelets

It is available to construct a discrete wavelet transform corresponding to an analytic wavelet transform. It is necessary to design good biorthogonal scaling functions which generate the Hilbert transforms of biorthogonal wavelets. In this paper, a design method of good scaling functions is proposed. We calculate the low-pass filter coefficients, which correspond to these scaling functions, directly from the original biorthogonal low-pass filter coefficients. In numerical experiments, it is shown that DWTs and IDWTs with twenty taps filter coefficients reconstruct signals with adequate precision.
Hepatitis B Surface Antigen Vector Delivers Protective Cytotoxic T-Lymphocyte Responses to Disease-Relevant Foreign Epitopes

ABSTRACT Although hepatitis B surface antigen (HBsAg) per se is highly immunogenic, its use as a vector for the delivery of foreign cytotoxic T-lymphocyte (CTL) epitopes has met with little success because of constraints on HBsAg stability and secretion imposed by the insertion of foreign sequence into critical hydrophobic/amphipathic regions. Using a strategy entailing deletion of DNA encoding HBsAg-specific CTL epitopes and replacement with DNA encoding foreign CTL epitopes, we have derived chimeric HBsAg DNA immunogens which elicited effector and memory CTL responses in vitro, and pathogen- and tumor-protective responses in vivo, when the chimeric HBsAg DNAs were used to immunize mice. We further show that HBsAg DNA recombinant for both respiratory syncytial virus and human papillomavirus CTL epitopes elicited simultaneous responses to both pathogens. These data demonstrate the efficacy of HBsAg DNA as a vector for the delivery of disease-relevant protective CTL responses. They also suggest the applicability of the approach of deriving chimeric HBsAg DNA immunogens simultaneously encoding protective CTL epitopes for multiple diseases. The DNAs we tested formed chimeric HBsAg virus-like particles (VLPs). Thus, our results have implications for the development of vaccination strategies using either chimeric HBsAg DNA or VLP vaccines. HBsAg is the globally administered vaccine for hepatitis B virus infection, inviting its usage as a vector for the delivery of immunogens from other diseases.
Recognition of English utterances with grammatical and lexical mistakes for dialogue-based CALL system

Our goal is to develop a voice-interactive CALL system which enables language learners to practice words, phrases, and grammars interactively. Such a system must be able to recognize learner’s utterances correctly. To enable the recognition of utterances containing grammatical mistakes, we used an n-gram language model trained from generated text. The proposed model achieved recognition performance similar to that of a language model based on a ﬁnite-state automaton and manual error rules. We then introduced two error correction techniques to improve recognition performance. One method used the Levenshtein distance between the target sentence and the recognized sentence. The other method used an error-corrective model based on POS n-gram features. The experimental results showed that both methods were able to improve recognition performance.
Recurrent Trichosporon Beigelii Endocarditis after Aortic Valve Replacement

Fungal endocarditis of the bioprosthetic heart valve, implanted in a patient without evidence of impaired immunity, is reported. Clinical manifestations of endocarditis appeared 7 years after aortic valve replacement for rheumatic disease and included embolization into the popliteal artery. Trichosporon beigelii was isolated from the cultured fragments of the embolus. Two valve replacements were performed because of recurrent infection during the following 4 years. In spite of prolonged antifungal therapy, the patient died from multiorgan septic involvement.
UWB considerations for "my personal global adaptive network" (MAGNET) systems

This paper outlines the role of ultrawideband (UWB) technology in the core of personal networks. An overview of existing UWB technologies is given, and two promising candidates for low data rate (1-100 kb/s) and medium data rate (100 kb/s-10 Mb/s) are treated in more detail: a time domain impulse radio approach and a novel constant envelope FM approach - UWBFM. Finally, examples of circuit implementations for impulse radio are presented.
The End of Celluloid: Digital Cinema Emerges

Digital cinema enhances film image quality significantly, but high costs could delay its adoption. Hollywood has begun a major technological transformation, retooling its production and distribution business to exploit computing, broadband networks, and digital displays. Inevitably, digital cinema will reshape the entertainment business and may further blur the lines between the theatrical and home entertainment markets. Indeed, many of the components necessary for digital cinema's emergence have already been tested and proven in film production and post production. However, Installing a digital cinema projection system in a theater (cinema) runs about $150000 (USD). That's a lot of money for an industry accustomed to spending no more than $25000 for a film projector that will last 50 years.
Using Sentence Compression to Develop Visual Analytics for Student Responses to Short Answer Questions

In this paper, we report on early research to visualize and summarize student responses to short answer questions. Recently published, graph-based multi-sentence compression algorithms have been successfully applied to summarize opinions – a domain area with many similarities to short answer responses. Initial investigations reveal that visual analytics for short answer questions can be derived from the output of graph-based multisentence compression algorithms. A proposed open source short answer analytics tool is also briefly discussed, along with an evaluation plan. The proposed analytics tool will allow lecturers and tutors to have a high level overview of how students have responded to questions, identify knowledge gaps and provide feedback to students.
Nonlinear Image-Based Visual Servo Controller for the Flare Maneuver of Fixed-Wing Aircraft Using Optical Flow

This paper proposes a nonlinear image-based visual servo controller for the flare phase of the landing maneuver of a fixed-wing aircraft in the presence of wind disturbances. Optical flow and 2-D image features from the image of the runway are exploited to design a feedback controller for the automatic maneuver. The controller is divided in two components. The first component guarantees the horizontal alignment of the aircraft with respect to the runway by exploiting the Plücker coordinates of the lines that delimit the runway as visual features. The second component takes advantage of the optical flow measurements to ensure a smooth touchdown. Simulation results are presented to illustrate the performance of the control approach.
Iranian physicians' knowledge about radiation dose, received by patients in diagnostic radiology

Background: Although ionizing radiation is widely used to diagnose many diseases, the relevant hazards are known to be as an important limitation of its application. It is believed that the awareness of ionizing radiation dose values is one of the main stages in patient's radiation protection. The purpose of this study has been to investigate the level of physicians' knowledge about radiation doses received by patients in radiological examinations. Materials and Methods: A questionnaire was designed and the most commonly requested radiological investigations were listed. Participants (155 physicians) were asked to identify the average dose of radiation received by patients when they underwent a posterior-anterior hand X-ray. Then, it was utilized to represent a single dose of radiation, and physicians were asked to estimate the equivalent doses of radiation for other radiological examinations. Several questions were also included about dose measurement's units and low exposure risk investigations. Results: The results indicated that only 58.3% of physicians know the units of radiation absorb dose measurement units. Most of them could not correctly estimate the amount of radiation dose received by patients in a routine radiography of hand and majority of them underestimated the radiation dose of other radiological examinations. Conclusion: Despite of passing medical physics course, during studentship, it does seem that most of medical doctors did not have enough knowledge about the amount of radiation received by patients led for diagnostic radiology investigations. Iran. J. Radiat. Res., 2009; 6 (4): 207­212
Pharmacognostic and preliminary phytochemical investigation on bark of Bridelia retusa Spreng

Bridelia retusa bark has been traditionally used for the treatment of various ailments such as rheumatism, diarrhoea and dysentery. In view of its medicinal importance and to have taxonomic clarity about the plant the present study was done to investigate the pharmacognostic, microscopical, morphological and various chemical parameters of the bark. The studies will provide referential information for the correct identification of the crude drug.
Investigation into the production of 2-Pentylfuran by Aspergillus fumigatus and other respiratory pathogens in vitro and human breath samples.

Our objective was to identify, for diagnostic purposes, potential volatile biomarkers of human microbial pathogens. We analysed the head space of cultures of medically important bacterial and fungal respiratory pathogens for 2-Pentylfuran (2PF) production through the use of Solid Phase Micro Extraction (SPME) and Gas Chromatography/Mass Spectroscopy (GC/MS). Our results confirm that 2PF is consistently produced by Aspergillus fumigatus, Fusarium spp. , Aspergillus terreus, Aspergillus flavus and to a lesser extent by Aspergillus niger. 2-Pentylfuran was not detected from most of the bacterial strains except for Streptococcus pneumoniae. In human studies, four litre breath samples were collected from patients with cystic fibrosis (CF), with and without colonisation by A. fumigatus and other pathogens, as well as healthy volunteers. 2-Pentylfuran was detected in breath samples collected from 4/4 patients with CF and A. fumigatus colonization, 3/7 patients with CF and no microbiological evidence of A. fumigatus and 0/10 healthy control individuals. These results suggest that 2PF may be a biomarker for lung colonization/infection by fungal pathogens. To our knowledge, this is the first report describing the detection in breath samples of a volatile biomarker of a pathogen resident in the lungs. Breath analysis has the potential of being a non-invasive diagnostic method of detecting respiratory infection including invasive aspergillosis.
The DESMOND educational intervention

In this edition of the journal, Ockleford and colleagues describe a qualitative study that accompanied the DESMOND randomized controlled trial (RCT) of a 6-h structured self-management education programme. The work on the DESMOND intervention and the resulting trial is a consequence of increasing dissatisfaction with conventional management of type 2 diabetes. Many patients fail to achieve good glycaemic control or changes in lifestyle leading to weight loss, and generally have impaired quality of life and greater depression scores than non-diabetic controls. There is an increasing view that these poor outcomes are a direct result of a traditional approach in which healthcare professionals decide treatment options and expect people with diabetes to follow this ‘wise advice’. Inspired by some vocal pioneers, many now believe that success in the management of long-term conditions such as diabetes can only come if patients themselves are actively engaged in their own management. The approach has been used with some success in type 1 diabetes, where the emphasis is on skills acquisition and insulin dose adjustment, but the supportive evidence in type 2 diabetes is more limited. In the management of type 2 diabetes, there needs to be greater focus on changes in lifestyle rather than on practical skills. There is also evidence that education programmes with a theoretical basis and using cognitive reframing demonstrate improved outcomes. The DESMOND intervention incorporated a series of psychological theories of learning: Leventhal’s Common Sense Theory, Dual Process Theory and Social Learning Theory. The RCT tested the effect of a 6-h group educational intervention in a primary care setting for newly diagnosed patients, when compared to standard carewith patients followed for 12 months. Both DESMOND and control groups exhibited marked improvements in glycaemic control (a common finding in newly diagnosed type 2 diabetes) that were not different, but the DESMOND group lost significantly more weight. There was also a significant association between change in perceived personal responsibility and weight loss. These are encouraging results, although only longer-term followup will establish the effectiveness of the intervention. The qualitative analysis, detailed in this issue, was commissioned to help inform the findings of the trial. The National Institute of Health and Clinical Excellence has recently published guidance on evaluations of behaviour change and recommended process evaluations that include perspectives of patients. One rather surprising finding in the qualitative study was that a large proportion of the controls (randomized to receive ‘standard care’) had participated in a group education programme of some description. It is unclear whether this was a specific programme for diabetes or group education around another topic. This may have reduced differences between the two groups in the DESMOND trial, but these patients
S2PAD: secure self-certified public auditing for data integrity in cloud storage and its extension

Cloud storage is an important service of cloud computing, it can offer services for data owners in a pay-as-you-go fashion. In cloud storage, after data files are outsourced, data owner no longer has physical controls over the storage. To protect the outsourced data in cloud storage against corruptions, several public auditing schemes for data integrity checking were proposed to achieve data integrity checking. The existing auditing schemes make the auditor execute high computation to check data integrity. It might become a burden for a lot of data owner. To solve the above problem, we propose a novel public auditing scheme with public verifiability and constant communication cost based on self-certified signature scheme in this paper. Thorough analysis shows that our proposed scheme is secure and efficient. The security of our scheme is based on the fixed inversion (FI) problem of the bilinear map and the inversion of hash function. Finally, based on the above protocol, we extend it into multi-user setting.
THE FIRST ALLWISE PROPER MOTION DISCOVERY: WISEA J070720.50+170532.7

While quality checking a new motion-aware co-addition of all 12.5 months of Wide-field Infrared Survey Explorer (WISE) data, we found that the source WISE J070720.48+170533.0 moved 0. ″9 in six months. Backtracking this motion allowed us to identify this source as 2MASS J07071961+1705464, with several entries in the USNO B catalog. An astrometric fit to these archival data gives a proper motion of μ = 1793 ± 2 mas yr−1 and a parallax of ϖ = 35 ± 42 mas. Photometry from WISE, 2MASS, and the POSS can be fit reasonably well by a blackbody with T = 3658 K and an angular radius of 4.36 × 10−11 radians. No clear evidence of H2 collision-induced absorption is seen in the near-infrared. An optical spectrum shows broad deep CaH bands at 638 and 690 nm, broad deep Na D at 598.2 nm, and weak or absent TiO, indicating that this source is an ultra-subdwarf M star with a radial velocity vrad ≈ −21 ± 18 km s−1 relative to the Sun. Given its apparent magnitude, the distance is about 39 ± 9 pc and the tangential velocity is probably ≈330 km s−1, but a more precise parallax is needed to be certain.