Miracle-dz/UniFAR-FTUs huggingface dataset:
Early ERP responses to own names while gaming

Calling and being called by one's own name play essential roles in our social life. In the study reported here, we investigated the possibility that own as opposed to other names would be automatically detected by mechanisms utilizing some initial acoustic indications. To this end, we examined early event-related potential responses (up to 400-ms latency) to one's own and other names while playing a video game with no sound effects. To test possible effects of emotion, we used name stimuli uttered by a female speaker in 3 emotional tones (angry, love, and neutral) and recruited 10 young male participants. We observed the modulation of the P1, P2, and N2 waves caused by the name-property manipulation (i.e., own VS. other names). The name-property effects did not significantly interact with the emotional tone factor. These automatic modulations may reflect early detection processes concerning signals of potential importance at multiple, perhaps initially coarse but later less coarse, processing stages. The paradigms using own and other names may provide unique ways both to investigate mechanisms by which personally/socially significant signals are processed and to assess neural circuitry in various neurological or developmental populations.
Driver aggressiveness detection using visual information from forward camera

Among the human related factors, aggressive driving behavior is one of the major causes of traffic accidents [17]. On the other hand, detection and characterization of driver aggressiveness is a challenging task since there exist different psychological causes behind it. However, information about the driver behavior could be extracted from the data that is collected via different sensing devices. This paper presents a method to detect driver aggressiveness using only visual information provided by forward camera. The proposed method is based on detection of the road lines and the vehicles on the road and extracts information related with road lane departure rate, speed of the vehicle and possible forward collision time. Using these extracted features, a classifier is utilized in order to detect if driver shows an aggressive driving behavior. The proposed method is tested by a subjective testing method using 76 different driving sessions and achieved 90.4% success.
Molecular characterization of ribosomal DNA polymorphisms discriminating among chromosomal forms of Anopheles gambiae s.s.

The sequence of a 2.3 kb long DNA segment derived from the 5′‐most end of the ribosomal intergenic spacer was determined in three chromosomal forms of Anopheles gambiae s.s. The analysis revealed that the sequence of the Mopti form differed from that of the Bamako and Savanna forms by a total of ten nucleotide substitutions. Using these sequence variations we set up a diagnostic polymerase chain reaction (PCR) assay to distinguish mosquitoes belonging to the three chromosomal forms, facilitating studies on the distribution and the ecology of these incipient taxa. The assay also allows to distinguish whether a given specimen could represent a heterozygote between Mopti and Savanna or Bamako.
Live sports event detection based on broadcast video and web-casting text

Event detection is essential for sports video summarization, indexing and retrieval and extensive research efforts have been devoted to this area. However, the previous approaches are heavily relying on video content itself and require the whole video content for event detection. Due to the semantic gap between low-level features and high-level events, it is difficult to come up with a generic framework to achieve a high accuracy of event detection. In addition, the dynamic structures from different sports domains further complicate the analysis and impede the implementation of live event detection systems. In this paper, we present a novel approach for event detection from the live sports game using web-casting text and broadcast video. Web-casting text is a text broadcast source for sports game and can be live captured from the web. Incorporating web-casting text into sports video analysis significantly improves the event detection accuracy. Compared with previous approaches, the proposed approach is able to: (1) detect live event only based on the partial content captured from the web and TV; (2) extract detailed event semantics and detect exact event boundary, which are very difficult or impossible to be handled by previous approaches; and (3) create personalized summary related to certain event, player or team according to user's preference. We present the framework of our approach and details of text analysis, video analysis and text/video alignment. We conducted experiments on both live games and recorded games. The results are encouraging and comparable to the manually detected events. We also give scenarios to illustrate how to apply the proposed solution to professional and consumer services.
Antihyperlipidemic Effects of Sesamum indicum L. in Rabbits Fed a High-Fat Diet

The present study aimed to investigate the anti-hyperlipidemic effects of sesame in a high-fat fed rabbit model. Animals were randomly divided into four groups of eight animals each for 60 days as follows: normal diet, hypercholesterolemic diet (1% cholesterol), hypercholesterolemic diet (1% cholesterol) + sesame seed (10%), and hypercholesterolemic diet (1% cholesterol) + sesame oil (5%). Serum concentrations of total cholesterol, LDL-C, HDL-C, triglycerides, apoA and apoB, SGOT, SGPT, glucose and insulin were measured at the end of supplementation period in all studied groups. Hypercholesterolemic feeding resulted in a significant elevation of TC, TG, LDL-C, HDL-C, SGOT and SGPT as compared to the normocholesterolemic diet group (P < 0.05). Supplementation with sesame seed did not cause any significant alteration in lipid profile parameters, apolipoproteins, hepatic transaminases, glucose and insulin as compared to the hypercholesterolemic diet group (P > 0.05). In contrast, rabbits supplemented with sesame oil were found to have lower circulating concentrations of TC, LDL-C, HDL-C, SGOT and SGPT (P < 0.05), whilst concentrations of TG, apoA, apoB, insulin and glucose remained unaltered compared to the hypercholesterolemic diet group (P > 0.05). Supplementation with sesame oil, but not sesame seed, can ameliorate serum levels of lipids and hepatic enzymes in rabbits under a high-fat diet.
Biometric-based attendance system with remote real-time monitoring for tertiary institutions in developing countries

The attitude of some staff and students of tertiary institutions in developing countries to classroom lectures and to office duties have been spotted as one of the causes of decadence in the quality of graduates in developing countries. In this paper an integrated Fingerprint Attendance System with remote monitoring, for staff and students of tertiary institutions is proposed. It also contains a web-based, real-time remote monitoring interface through which those in management level can view the staff and students as they check-in/out of the system. With this system, it took only 2seconds to verify and mark attendance per student as opposed to 15seconds for manual process. For 71 students', attendance taking was sped up 7.3 times, and the institution managers (HODs, Directors, Deans etc.) could monitor daily attendance from anywhere in the world.
Gas phase aluminising of TiAl intermetallics

Purpose: Increasing oxidation resistance of TiAl intermetallic alloy by gas phase aluminising. Design/methodology/approach: The structure of coatings was investigated by light scanning microscopy. The chemical composition of coatings was investigated by EDS method and XRD phase analysis was used as well. Findings: The investigation has showed that the thickness of the coatings was 10 μm. The structure of the silicon-modified aluminide coatings is as follows: the outer zone consisting of TiAl3 phase (on the TiAl7Nb alloy only), the middle zone consisting TiAl2 phase, the inner zone consisting of TiAl phase The analysis of the average chemical composition of the outer zone exhibited the gradual increase of the silicon content along with the increase of this element in the slurry. Practical implications: The slurry method can be applied in aerospace and automotive industry as low-cost technology of producing of aluminide coatings on intermetallics. Originality/value: New method of depositing of aluminide coatings on TiAl alloys.
Performance Comparison of Control Algorithms for Load Compensation Using D-STATCOM under Abnormal Source Voltage

 Ab stract—Distribution Static Compensator (D-STATCOM) is a custom power device which compensates reactive power and mitigates unbalances caused by various loads in distribution system when it is operated in current control mode. When D-STATCOM is used for load comprehensive compensation, the precision in detecting the compensation current required by the system is very important for compensation effects. There are many detection methods at present. This paper evaluates and analyses three different conventional and extensively used methods of determining the compensating current for a D-STATCOM under abnormal voltage conditions i.e. asymmetric and distorted source voltages and makes comparison of the performance of each one. The algorithms compared are instantaneous reactive power theory (IPRT), synchronous reference frame theory (SRF) and I-cosф algorithm. All three algorithms are simulated under MATLAB environment using Simulink. The theoretical analysis and simulated results illustrate the performance and correctness of these algorithms under asymmetric and distorted source voltages. Finally, the comparison of simulated results has been done to show the accuracy in detecting the harmonics and effectiveness of compensation under abnormal voltage conditions.
Aggregation-induced emission—fluorophores and applications

Aggregation-induced emission (AIE) is a novel photophysical phenomenon found in a group of luminogens that are not fluorescent in solution but are highly emissive in the aggregate or solid state. Since the first publication of AIE luminogens in 2001, AIE has become a hot research area in which the number of research papers regarding new AIE molecules and their applications has been increasing in an exponential manner. Thomson Reuters Essential Science Indicators ranked AIE no.3 among the Top 100 Research Frontiers in the field of Chemistry and Materials Science in 2013. In this review, I will give a general introduction of the AIE phenomenon, discuss the structure-property relationship of the AIE lumingens and summarize the recent progress in the applications including as light-emitting materials in optoelectronics, as chemosensors and bioprobes, and for bioimaging (total 69 references cited).
" Active Boosted Learning "

Active learning deals with the problem of selecting a small subset of examples to label, from a pool of unlabeled data, for training a good classifier. We develop an active learning algorithm in the boosting framework. In contrast to much of the recent efforts, which has focused on selecting the most ambiguous unlabeled example to label based on the current learned classifier, our algorithm selects examples to maximally reduce the volume of the version space of feasible boosted classifiers. We show that under suitable sparsity assumptions, this strategy achieves the generalization error performance of a boosted classifier trained on the entire data set while only selecting logarithmically many unlabeled samples to label. We also establish a partial negative result, in that with out imposing structural assumptions it is difficult to guarantee generalization error performance. We explicitly characterize our convergence rate in terms of the sign pattern differences produced by the weak learners on the unlabeled data. We also present a convex relaxation to account for the non-convex sparse structure and show that the computational complexity of the resulting algorithm scales polynomially in the number of weak learners. We test ActBoost on several datasets to illustrate its performance and demonstrate its robustness to initialization.
Topic‐level opinion influence model (TOIM): An investigation using tencent microblogging

Text mining has been widely used in multiple types of user‐generated data to infer user opinion, but its application to microblogging is difficult because text messages are short and noisy, providing limited information about user opinion. Given that microblogging users communicate with each other to form a social network, we hypothesize that user opinion is influenced by its neighbors in the network. In this paper, we infer user opinion on a topic by combining two factors: the user's historical opinion about relevant topics and opinion influence from his/her neighbors. We thus build a topic‐level opinion influence model (TOIM) by integrating both topic factor and opinion influence factor into a unified probabilistic model. We evaluate our model in one of the largest microblogging sites in China, Tencent Weibo, and the experiments show that TOIM outperforms baseline methods in opinion inference accuracy. Moreover, incorporating indirect influence further improves inference recall and f1‐measure. Finally, we demonstrate some useful applications of TOIM in analyzing users' behaviors in Tencent Weibo.
Complex-Valued Spatial Filters for SSVEP-Based BCIs With Phase Coding

Brain–computer interface (BCI) systems based on steady-state visual evoked potentials (SSVEPs) have gained considerable popularity because of the robustness and high information transfer rate these can provide. Typical SSVEP setups make use of visual targets flashing at different frequencies, where a user’s choice is determined from the SSVEPs elicited by the user gazing at a specific target. The range of stimulus frequencies available for such setups is limited by a variety of factors, including the strength of the evoked potentials as well as user comfort and safety with light stimuli flashing at those frequencies. One way to tackle this limitation is by introducing targets flickering at the same frequency but with different phases. In this paper, we propose the use of the analytic common spatial patterns (ACSPs) method to discriminate between phase coded SSVEP targets, and we demonstrate that the complex-valued spatial filters used for discrimination can exceed the performance of existing techniques. Furthermore, the ACSP method also yields a set of spatial patterns, separable into amplitude and phase components, that provide insight into the underlying brain activity.
Comparison between Computed Tomography and Ultrasonography in Detecting Foreign Bodies Regarding Their Composition and Depth: An In Vitro Study

Statement of the Problem Impaction of foreign bodies in the soft tissues is a sequela of traumatic and penetrating injuries. Such foreign bodies should be removed due to the complications they cause. Patient’s history, clinical evaluation and imaging examinations aid in the proper detection and localization of the foreign bodies. Purpose The aim of the present study was to compare the sensitivity of computed tomography (CT) and ultrasonography for detecting foreign bodies in in-vitro models simulating facial soft tissues. Materials and Method Fifty foreign particles with five different compositions including wood, glass, metal, plastic, and stone were embedded in five calf tongues at 1, 2, 3, 4 and 5 cm depths. CT and ultrasonography were compared regarding their capability of detecting and localizing the foreign bodies. Results Wood and plastic foreign bodies were demonstrated more clearly on ultrasonography images. High density materials such as metal, stone, and glass were detected with almost the same accuracy on CT and ultrasonography examinations. Visibility of the foreign bodies deteriorated on ultrasonography images as their depth increased; however, CT appearances of the foreign particles were not influenced by their depths. Conclusion Ultrasonography is an appropriate technique for detection of foreign bodies especially the ones with low density. Therefore, it seems logical to perform ultrasonography in combination with CT in cases with the suspicion of foreign body impaction.
Ion conduction through paper and polypropylene foils impregnated with liquid dielectric

In order to improve our knowledge of the impregnated materials, we have focused our work on polypropylene and capacitor grade papers. In addition to electrical measurements (permittivity, conductivity versus voltage, time, temperature), we made a study of the porous structure of the materials using electron microscopy, the bubble breakthrough method, permeation of gas and liquid under a hydrostatic pressure and mercury porosimetry. The adsorption of electrolytes, the diffusion of ions without voltage through polymer films, and the electrophoresis of microparticles of polymers were also studied. We conclude that paper and swollen polypropylene are porous materials; but in paper the pores are very tortuous and the liquid mainly spreads over the surface or into voids parallel to the surface; in polypropylene the pores seem to be numerous and slightly tortuous. Thus, impregnated paper mainly behaves like a series association of pure cellulose and free liquid, whereas polypropylene has a large parallel component. Another striking difference is that paper is a semipermeable material, able to block ions at its surface (according to the nature of the liquid and of the ions): this physico-chemical interpretation is preferable to the mechanical model proposed by Garton. Polypropylene is not (or but very feebly) selective, and ions of both signs can cross it, but their apparent DC mobility is 10? 4to 10? 5 smaller than in the free liquid: so with AC, ions of both signs are trapped producing the `field-enhanced adsorption? effect described by Tobazeon and Gartner.
Improving the design of the asymmetrical half-bridge converter without electrolytic capacitor for low-output-voltage ac-dc LED drivers

Due to their high reliability and luminous efficacy, HB-LEDs are being widely used in lighting applications and, therefore, their power supplies are required to have also high reliability and efficiency. A very common approach for achieving this in ac-dc applications is using a two-stage topology. The Power Factor Corrector Boost converter operating in Boundary Conduction Mode is a very common converter used as first stage. It is normally designed without electrolytic capacitors, improving reliability but also increasing the low-frequency ripple of its output voltage. The Asymmetrical Half-Bridge (AHB) is a perfect option for the second stage as it has very high efficiency, it operates at constant switching frequency and its output filter is small (i.e., it can be also easily implemented without electrolytic capacitors). Moreover, the AHB is an excellent candidate for Self-Driven Synchronous Rectification (SD-SR) as its transformer does not have significant dead times. Another important issue regarding the AHB is that its closed loop controller cannot be very fast and it cannot easily cancel the previously-mentioned low-frequency ripple. In this paper, a feed-forward technique, specifically designed to overcome this problem, is presented. The experimental results obtained with a 60-W topology show that efficiency of the AHB may be very high (94.5%) while the inherent control problems related to the AHB can be overcome by the proposed feed-forward technique.
Requirement of dendritic Akt degradation by the ubiquitin–proteasome system for neuronal polarity

Asymmetric distributions of activities of the protein kinases Akt and glycogen synthase kinase 3β (GSK-3β) are critical for the formation of neuronal polarity. However, the mechanisms underlying polarized regulation of this pathway remain unclear. In this study, we report that the instability of Akt regulated by the ubiquitin–proteasome system (UPS) is required for neuron polarity. Preferential distribution in the axons was observed for Akt but not for its target GSK-3β. A photoactivatable GFP fused to Akt revealed the preferential instability of Akt in dendrites. Akt but not p110 or GSK-3β was ubiquitinated. Suppressing the UPS led to the symmetric distribution of Akt and the formation of multiple axons. These results indicate that local protein degradation mediated by the UPS is important in determining neuronal polarity.
Degradation of a CNT-Based Field Emission Cathode due to Ion Sputtering

The rate of degradation of carbon nanotubes (CNT) comprising a field emission cathode is calculated. The sputtering of CNT material by incident ions formed through the electron impact ionization of the residual gas molecules is considered as the degradation mechanism. The degradation rate and the relevant lifetime of CNTs have been calculated as a function of the nanotube's geometry, applied voltage, inter-electrode distance and density of the array. It has been found the abrupt dependence of the degradation rate on the applied voltage which is caused by a sharp character of the Fowler–Nordheim dependence. The dependence of the degradation rate on the inter-electrode distance is caused by the corresponding dependence of the probability of an ion to reach the CNT surface.
Hereditary Angioedema: Current and Emerging Treatment Options

Angioedema can result from allergic, hereditary, and acquired conditions. Hereditary angioedema (HAE) attacks are disabling at the time of occurrence and can be life threatening; they often result in hospitalization and intensive care unit admission. Although there are several variants of HAE, they share a final common pathway: unopposed activation of multiple kinins and mediators including kallikrein and bradykinin. This leads to increased vascular permeability, which in turn produces the edema after which the condition is named. Older treatment options licensed in the United States, anabolic steroids and antifibrinolytics, have troublesome side effect profiles and may not reverse a severe acute attack. In Europe, C1 esterase inhibitor (C1-INH) concentrates have been used since 1974 for both preventing and terminating attacks. Two of these have now been licensed in the United States for use in HAE patients, one for prophylaxis and the other for treating acute abdominal and facial HAE attacks. The first kinin pathway modulator, ecallantide, has also been licensed recently in the United States for treating HAE attacks. The objective of this article is to describe HAE and review the available options for managing patients, as well as different drugs currently under investigation. Specific attention is given to the perioperative management of patients with HAE.
A Study of Designing Compact Classifiers Using Deep Neural Networks for Online Handwritten Chinese Character Recognition

This paper presents a study of designing compact classifiers using deep neural networks for recognition of online handwritten Chinese characters. Two schemes are investigated based on practical considerations. First, deep neural networks are adopted purely as a classifier with a state-of-the-art feature extractor of online handwritten Chinese characters. Second, the so-called bottleneck features extracted from a bottleneck layer of deep neural networks are fed to the prototype-based classifier. The experiments on an in-house developed online Chinese handwriting corpus with a vocabulary of 15,167 characters show that compared with prototype-based classifier widely developed on the mobile device, deep neural network based classifier can yield significant improvements of recognition accuracy with acceptably increased footprint and latency while the bottleneck-feature approach can bring a more compact classifier with an observable performance gain.