Miracle-dz/UniFAR-FTUs huggingface dataset:
Intraprocedural stent thrombosis during crush stenting of the left main coronary artery bifurcation.

A man with diabetes mellitus and left ventricular dysfunction presented with unstable angina. Before catheterization, he was treated with clopidogrel, and during the procedure he was given unfractionated heparin with adjunctive abciximab therapy. A lesion was identified in the left main coronary artery (LMCA). Rotational atherectomy was performed on both branches of the LMCA bifurcation to debulk the lesion. After predilation, bifurcation stenting with 2 drug-eluting stents (DESs) was performed with use of a crush technique. The stents were post-dilated with simultaneous kissing-balloon angioplasty at high atmospheric pressures with noncompliant (polyethylene terapthelate) balloons. Immediately thereafter, coronary angiography (Fig. 1) and intravascular ultrasound (Fig. 2) showed diffuse thrombosis that appeared to originate at the bifurcation. Serial high-pressure balloon inflations, restenting of the left main shaft into the left anterior descending coronary artery (LAD), and post-dilation with simultaneous kissing balloons were performed, with an excellent result. Fig. 1 Coronary angiography (right anterior oblique caudal view) immediately after kissing-balloon post-dilation for crush stenting of the left main coronary artery shows intraprocedural stent thrombosis at the left main coronary artery bifurcation, extending . Fig. 2 Intravascular ultrasound confirms intraprocedural stent thrombosis at the level of the left main coronary artery (LMCA)bifurcation after deployment of the stents. Images are from a 40-MHz Atlantis® SR Pro Imaging Catheter (Boston Scientific .
Structured Gaussian mixture model based product VQ

In this paper, the Gaussian mixture model (GMM) based parametric framework is used to design a product vector quantization (PVQ) method that provides rate-distortion (R/D) performance optimality and bitrate scalability. We use a GMM consisting of a large number of Gaussian mixtures and invoke a block isotropic structure on the covariance matrices of the Gaussian mixtures. Using such a structured GMM, we design an optimum and bitrate scalable PVQ, namely an split (SVQ), for each Gaussian mixture. The use of an SVQ allows for a trade-off between complexity and R/D performance that spans the two extreme limits provided by an optimum scalar quantizer and an unconstrained vector quantizer. The efficacy of the new GMM based PVQ (GM-PVQ) method is demonstrated for the application of speech spectrum quantization.
Pathways for the oxidation of aromatic compounds by Azotobacter.

SUMMARY: The metabolic pathways used by members of the genus Azotobacter for the oxidation of benzoate and p-hydroxy-benzoate have been investigated. A. chroococcum, A. vinelandii and A. beijerinckii oxidize benzoate via catechol, which is further metabolized by meta cleavage. The same species oxidize p-hydroxybenzoate via protocatechuate, which is dissimilated through the β-ketoadipate pathway.
Modelling asynchrony in speech using elementary single-signal decomposition

Although the possibility of asynchrony between different components of the speech spectrum has been acknowledged, its potential effect on automatic speech recogniser performance has only recently been studied. This paper presents the results of continuous speech recognition experiments in which such asynchrony is accommodated using a variant of HMM decomposition. The paper begins with an investigation of the effects of partitioning the speech spectrum explicitly into subbands. Asynchrony between these sub-bands is then accommodated, resulting in a significant decrease in word errors. The same decomposition technique has previously been used successfully to compensate for asynchrony between the two input streams in an audiovisual speech recognition system.
A review of developmental and applied language research on African American children: from a deficit to difference perspective on dialect differences.

PURPOSE The contemporary practices of delivering speech, language, and hearing services in schools reflect palpable gains in professional sensitivity to linguistic and cultural diversity. METHOD This article reviews the dominant research themes on the oral language of African American preschoolers who contribute to such diversity in the United States. Specifically, it contrasts the historical and current frameworks that have guided studies of (a) such children's acquisition and use of English and (b) the strategies used to assess and modify their language. CONCLUSION Research initiatives that can expand knowledge about this group are proposed.
On the Observability of Bearing-only SLAM

In this paper we present an observability analysis for a mobile robot performing SLAM with a single monocular camera. The aim is to get a better understanding of the well known intuitive behavior of these systems, such as the need for triangulation to features from different positions in order to get accurate relative pose estimates. The characterisation of the unobservable directions is made using the nullspace basis of the stripped observability matrix. This allows us to identify which vehicle motions are required to maximise the number of observable states in the system, which in turn affects accuracy in the estimation process. The analysis is performed by modelling the system in the continuous time domain as piecewise constant. Simulation results using an extended information filter are shown to verify the results of the observability analysis.
Novel molecular approaches for the rapid detection of Salmonella from pork products and the pork processing environment-NPB # 08-007 Investigator :

Novel rapid, sensitive, and simple detection assays that can be routinely used to prevent the transmission of Salmonella in the pork industry are in high-demand. Reverse-transcriptase Loop-mediated isothermal Amplification (RT-LAMP) assay is a novel molecular method that has advantages over real-time reversetranscriptase Polymerase Chain Reaction (RT-PCR) in that it does not require expensive equipment such as a realtime PCR machine as the reaction occurs in a waterbath at one temperature and detection is by turbidity or fluorescence after 2 h. The objectives of this research were to develop and apply novel assays such as RT-LAMP and RT-PCR to pork products and the pork environment for the rapid and sensitive detection of Salmonella Typhimurium and for comparison to traditional cultural methods. Another objective was to apply the RT-LAMP assay to detect Salmonella from pork products obtained from grocery stores and from pork processing facilities to test the suitability of the novel assays for routine testing by the pork industry in real-world scenarios. Twenty-five gram pork chop, pork sausage, and ground pork samples were spiked with S. Typhimurium at high (10 8 to 10 6
Minimal communication in a distributed discrete-event system

This paper deals with distributed discrete-event systems, in which agents (or local sites) are required to communicate in order to perform some specified tasks. Associated with each agent is a finite-state automaton that captures the required tasks to be performed at that site. The problem considered is that each agent must be able to distinguish between the states of its automaton. To help it disambiguate states, an agent uses a combination of direct observation (obtained from sensor readings available to that agent) and communicated information (obtained from sensor readings available to another agent). Since communication may be costly, a strategy to minimize communication between sites is developed. The complexity of the solution reflects the interdependence of the agents' communication protocols. That is, the decision to communicate the occurrence of an event relies on which event sequences are indistinguishable to an agent, which, in turn, is a result of what has already been communicated to that agent.
Towards Novel Techniques for Reasoning in Expressive Description Logics based on Binary Decision Diagrams

We propose to design and study new techniques for description logic (DL) reasoning based on a prominent data structure that has been applied very successfully in various domains in computer science where one has to face the efficient representation and processing of large scale problems: Binary Decision Diagrams (BDDs). BDDs have been used very successfully for reasoning in propositional logics, and have been lifted to the level of first-order logics, too. In both cases, they provide a rich semantic structure to guide proof search. Therefore, we believe that (i) BDDs are interesting to study in the context of reasoning for a logic of intermediate expressivity (such as DLs) and (ii) that they provide a fertile ground for the design of novel efficient methods for reasoning in particular expressive DLs. The project will help to enrich the available machinery of DL reasoning techniques.
Optimization of methazolamide-loaded solid lipid nanoparticles for ophthalmic delivery using Box–Behnken design

Abstract The purpose of the present study was to optimize methazolamide (MTZ)-loaded solid lipid nanoparticles (SLNs) which were used as topical eye drops by evaluating the relationship between design factors and experimental data. A three factor, three-level Box–Behnken design (BBD) was used for the optimization procedure, choosing the amount of GMS, the amount of phospholipid, the concentration of surfactant as the independent variables. The chosen dependent variables were entrapment efficiency, dosage loading, and particle size. The generated polynomial equations and response surface plots were used to relate the dependent and independent variables. The optimal nanoparticles were formulated with 100 mg GMS, 150 mg phospholipid, and 1% Tween80 and PEG 400 (1:1, w/v). A new formulation was prepared according to these levels. The observed responses were close to the predicted values of the optimized formulation. The particle size was 197.8 ± 4.9 nm. The polydispersity index of particle size was 0.239 ± 0.01 and the zeta potential was 32.7 ± 2.6 mV. The entrapment efficiency and dosage loading were about 68.39% and 2.49%, respectively. Fourier transform infrared spectroscopy (FT-IR) study indicated that the drug was entrapped in nanoparticles. The optimized formulation showed a sustained release followed the Peppas model. MTZ-SLNs showed significant prolonged decreasing intraocular pressure effect comparing with MTZ solution in vivo pharmacodynamics studies. The results of acute eye irritation study indicated that MTZ-SLNs and AZOPT both had no eye irritation. Furthermore, the MTZ-SLNs were suitable to be stored at low temperature (4 °C).
Hidden Chromosome Symmetry: In Silico Transformation Reveals Symmetry in 2D DNA Walk Trajectories of 671 Chromosomes

Maps of 2D DNA walk of 671 examined chromosomes show composition complexity change from symmetrical half-turn in bacteria to pseudo-random trajectories in archaea, fungi and humans. In silico transformation of gene order and strand position returns most of the analyzed chromosomes to a symmetrical bacterial-like state with one transition point. The transformed chromosomal sequences also reveal remarkable segmental compositional symmetry between regions from different strands located equidistantly from the transition point. Despite extensive chromosome rearrangement the relation of gene numbers on opposite strands for chromosomes of different taxa varies in narrow limits around unity with Pearson coefficient r = 0.98. Similar relation is observed for total genes' length (r = 0.86) and cumulative GC (r = 0.95) and AT (r = 0.97) skews. This is also true for human coding sequences (CDS), which comprise only several percent of the entire chromosome length. We found that frequency distributions of the length of gene clusters, continuously located on the same strand, have close values for both strands. Eukaryotic gene distribution is believed to be non-random. Contribution of different subsystems to the noted symmetries and distributions, and evolutionary aspects of symmetry are discussed.
THE SPIRAL RELATIONSHIP BETWEEN SUFFERING AND THE PRODUCTION OF FASHIONABLE CLOTHES

In this article, I explore relationships between suffering and the production of fashionable clothes. In the commercial struggle for survival many fashionable styles are discarded while some remain durable due to their adaptability to new trends and creative ideas. The aim of the research was to investigate how suffering initiates these changes in the creative process of fashion design. This was examined through a number of methodologies, which included object-based research and ethnography. The research findings indicate that suffering within the fashion industry can be a positive attribute. It can influence the way clothes are produced and the skills necessary to produce them. A model depicting the connection between suffering and fashion is posited as a tentative theory suggesting there is a spiral relationship in that changes in fashion production and consumption resulting from suffering evolve into a spiral of further suffering impacting on the future of fashion design and manufacture. INTRODUCTION The research aims to develop a deep understanding of the concept of suffering within a fashion context and if levels of suffering in the fashion industry influence change in the design and production of garments. The enquiry was initiated through object-based research in the costume archives at the Victoria and Albert Museum in the UK. I wanted to explore how fashion garments had distorted the human body and survey the manufacturing techniques that had helped to reshape the physique. My aim was to compare these methods with those developed by my fashion students when developing their degree collections, in order to expand pedagogic support for their explorations into cut and construction. This led me to consider how the human body suffers, both physically and mentally when wearing fashionable clothes and how this suffering can influence changes in garment design and
Mechanobiology of Platelets: Techniques to Study the Role of Fluid Flow and Platelet Retraction Forces at the Micro- and Nano-Scale

Coagulation involves a complex set of events that are important in maintaining hemostasis. Biochemical interactions are classically known to regulate the hemostatic process, but recent evidence has revealed that mechanical interactions between platelets and their surroundings can also play a substantial role. Investigations into platelet mechanobiology have been challenging however, due to the small dimensions of platelets and their glycoprotein receptors. Platelet researchers have recently turned to microfabricated devices to control these physical, nanometer-scale interactions with a higher degree of precision. These approaches have enabled exciting, new insights into the molecular and biomechanical factors that affect platelets in clot formation. In this review, we highlight the new tools used to understand platelet mechanobiology and the roles of adhesion, shear flow, and retraction forces in clot formation.
Tunable Kernels for Tracking

We present a tunable representation for tracking that simultaneously encodes appearance and geometry in a manner that enables the use of mean-shift iterations for tracking. The classic formulation of the tracking problem using mean-shift iterations encodes spatial information very loosely (i.e. using radially symmetric kernels). A problem with such a formulation is that it becomes easy for the tracker to get confused with other objects having the same feature distribution but different spatial configurations of features. Subsequent approaches have addressed this issue but not to the degree of generality required for tracking specific classes of objects and motions (e.g. humans walking). In this paper, we formulate the tracking problem in a manner that encodes the spatial configuration of features along with their density and yet retains robustness to spatial deformations and feature density variations. The encoding of spatial configuration is done using a set of kernels whose parameters can be optimized for a given class of objects and motions, off-line. The formulation enables the use of meanshift iterations and runs in real-time. We demonstrate better tracking results on synthetic and real image sequences as compared to the original mean-shift tracker.
Analytical Switching Loss Model for Superjunction MOSFET With Capacitive Nonlinearities and Displacement Currents for DC–DC Power Converters

A new analytical model is presented in this study to predict power losses and waveforms of high-voltage silicon superjunction MOSFET during hard-switching operation. This model depends on datasheet parameters of the semiconductors, as well as the parasitics obtained from the printed circuit board characterization. It is important to note that it also includes original features accounting for strong capacitive nonlinearities and displacement currents. Moreover, these features demand unusual extraction of electrical characteristics from regular datasheets. A detailed analysis on how to obtain this electrical characteristic is included in this study. Finally, the high accuracy of the model is validated with experimental measurements in a double-pulse buck converter setup by using commercial SJ MOSFET, as well as advanced device prototypes under development.
When the difference is night & day: Insights from HILDA into patterns of parent-child contact after separation *

Drawing on data from Wave 1 of the Household Income and Labour Dynamics in Australia (HILDA) Survey, this paper explores patterns of contact between non-resident fathers and their children - including patterns of day-only contact. It also examines the impact of re-partnering on contact and mothers' and fathers' satisfaction with contact arrangements.
Older Adults’ Digital Gameplay

Background. Empirical evidence suggests that digital gameplay can enhance social interaction and improve cognition for older adults. However, if digital games are to be effectively used as interventions to address age-related challenges, it is important to explore older adults’ experiences in playing them. Aim. The purpose of this survey design study was to identify digital gameplay patterns, perceived socio-emotional and cognitive benefits, and difficulties encountered in the gameplay experiences of older adults. Method. Adults aged 55 or older, recruited from seniors’ centers and local shopping malls in a Canadian city, responded to a printed, mainly closed-ended questionnaire. Results. 463 respondents reported that they actively play digital games. Most played alone rather than with others, and most rated themselves as intermediate or expert players. Players self-reported cognitive benefits but few socio-emotional benefits and few difficulties. Conclusions. The results of this study show promise for the use of digital games to provide innovative and engaging activities for enhancing older adults’ aging processes. Significant associations were found between player skill level and reported benefits. Recommendations. To perceive these benefits, older adults need to play frequently enough to develop beyond a beginner level. Education, facilitation, and support may be needed to encourage older adults to realize socio-emotional benefits from digital gameplay.
Estimation of corticomuscular coherence following stroke patients

The major symptom of stroke is motor dysfunction and it is usually due to the damage in neural pathway that responsible for motor control. In this study, we investigate the functional corticomuscular coupling (FCMC) between the motor cortex and the contralateral muscles in stroke patients. First, we recorded the 59-channel electroencephalogram (EEG) and 2-channel electromyogram (EMG) of the biceps brachii (BB) / deltoid (DT) muscles in stroke subjects and healthy controls in the arm uplifting movement process. Then, the EEG and EMG time series were analyzed using time-frequency coherence for quantifying the FCMC. The results showed a lack of coherence in the γ-band (35–60 Hz) between EEG and BB (EEG-BB) and between EEG and DT (EEG-DT) of stroke subjects during the movement from waist to chest. Moreover, compared to healthy controls, the coherence of synkinetic patients was reduced at ß-band (15–35 Hz) in EEG-BB and enhanced at ß-band in EEG-DT during maintaining up to chest during maintaining up to chest. These results indicate synkinetic patients are able to induce larger scale of DT with BB than healthy controls, i.e. there was large scale of abduction with should joint.
Latent semantic analysis and keyword extraction for phishing classification

Phishing email fraud has been considered as one of the main cyber-threats over the last years. Its development has been closely related to social engineering techniques, where different fraud strategies are used to deceit a naïve email user. In this work, a latent semantic analysis and text mining methodology is proposed for the characterisation of such strategies, and further classification using supervised learning algorithms. Results obtained showed that the feature set obtained in this work is competitive against previous phishing feature extraction methodologies, achieving promising results over different benchmark machine learning classification techniques.
Effect of the personality traits of the patient on pain perception and attitude toward orthodontic treatment

Objective: The objective was to evaluate the relationship between personality traits, pain perception, and person′s attitude toward orthodontic treatment. Materials and Methods: The sample comprised of two groups: Group 1 consisted of 100 treated subjects (50 males, 50 females; average age, 16.07 ± 1.36 years), and Group 2 consisted of 100 untreated subjects (50 males, 50 females; average age, 16.07 ± 1.41 years). The instrument for data collection was a questionnaire that included an assessment of patients′ personality profiles, pain expectation for untreated subjects, pain experience for treated subjects, and attitude toward orthodontic treatment. Results: Gender and treatment status did not affect pain perception and attitude of a person toward orthodontic treatment. There was a strong relationship between pain perception and attitude with Pearson′s correlation of 0.367 and P ≤ 0.0001. With one unit increase in attitude there was 0.43 units increase in pain. Patients with high levels of trait neuroticism (P = 0.01) and low levels of trait conscientiousness (P = 0.02) experienced more pain. Patients with high levels of trait conscientiousness showed better attitude (P = 0.01). Conclusion: Personality traits, neuroticism, and conscientiousness have effect on pain perception and attitude of patients toward orthodontic treatment. Patients with better attitude experienced less pain and patients with less pain exhibited better attitude.