Miracle-dz/UniFAR-FTUs huggingface dataset:
The inflammatory chemokine Cxcl 18 b exerts neutrophil-specific chemotaxis via the promiscuous chemokine receptor Cxcr 2 in zebrafish

Cxcl18b is a chemokine found in zebrafish and in other piscine and amphibian species. Cxcl18b is a reliable inflammatory marker; however, its function is yet to be elucidated. Here, we found that Cxcl18b is chemotactic towards neutrophils, similarly to Cxcl8a/Interleukin-8, the best characterised neutrophil chemoattractant in humans and teleosts. Like Cxcl8a, Cxcl18b-dependent recruitment required the chemokine receptor Cxcr2, while it was unaffected by depletion of the other two neutrophil receptors cxcr1 and cxcr4b. To visualise cxcl18b induction, we generated a Tg(cxcl18b:eGFP) reporter line. The transgene is induced locally upon bacterial infection with the fish pathogen Mycobacterium marinum, but strikingly is not directly expressed by infected cells. Instead, cxcl18b is induced by non-phagocytic uninfected cells that compose the stroma of the granulomas, typical inflammatory lesions formed upon mycobacterial infections. Together, these results suggest that Cxcl18b might be an important contributor to neutrophil chemotaxis in the inflammatory microenvironment and indicate that the zebrafish model could be explored to further investigate in vivo the biological relevance of different Cxcl8-like chemokine lineages.
Hund's Rules and Spin Density Waves in Quantum Dots

Spin density functional theory is used to calculate the ground state electronic structures of circular parabolic quantum dots. We find that such dots either have a spin configuration determined by Hund's rule or make a spin-density-wave-like state with zero total spin. The dependence of the spin-density-wave amplitudes on the density of the two-dimensional electron gas is studied.
Salient Object Subitizing : Supplementary Material

[1] A. Karpathy. t-SNE visualization of CNN. http://cs.stanford. edu/people/karpathy/ cnnembed/. [2] A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems (NIPS), 2012. [3] O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei. Imagenet large scale visual recognition challenge, 2014. [4] K. Simonyan, A. Vedaldi, and A. Zisserman. Deep inside convolutional networks: Visualising image classification models and saliency maps. In International Conference on Learning Representations (ICLR), Workshop Track, 2014.
Ground-state wave function and energy of the lithium atom (7 pages)

Highly accurate nonrelativistic ground-state wave function and energy of the lithium atom are obtained in the Hylleraas basis set. The leading relativistic corrections, as represented by the Breit-Pauli Hamiltonian, are obtained in fair agreement with the former results. The calculational method is based on analytical evaluation of Hylleraas integrals with the help of recursion relations.
Watermarking Scheme of MPEG-4 LASeR Object for Mobile Device

It is important to represent MPEG-4 BIFS with LASeR format to service the existing MPEG-4 scene in mobile environments. 2D and 3D graphics are represented by MPEG-4 BIFS but LASeR supports only 2D nodes. Because it is difficult to represent the 3D geometry nodes of BIFS with LASeR, converting process is needed. In this paper, watermarking scheme of 3D object based on MPEG-4 LASeR is proposed. Watermarks are embedded while MPEG-4 BIFS 3D geometry nodes are converted into LASeR 2D graphic nodes. Proposed watermarking algorithm uses vector information of polygon and original model is needed in extraction procedure. This proposed watermarking algorithm has good imperceptibility and robustness against the geometrical attacks such as noise addition, smoothing, mesh simplification and compression. And it is proved that this proposed algorithm is good for integrity authentication by the experiment.
INVOLVMENT OF THE CEREBELLUM IN VERABL WORKING MEMORY AND PHONOLOGICAL JUDGMENT: EVIDENCE FOR A ROLE IN PREDICTIVE PHONOLOGICAL CODING

Within recent decades, researchers have found evidence that the cerebellum contributes to language processing, yet exactly how it contributes remains a mystery. Researchers have attempted to map functional zones within the cerebellar cortex in an effort to determine precisely how the cerebellum contributes to language with limited success. We predict that the cerebellum’s functional zones are not strictly divisible by cognitive domains such as “language” or “executive control” and are instead delineated by task demands not unlike cognitive regions in the cerebral cortex. Prior neuropsychological results indicate that rhyme judgment and verbal working memory tasks impose task demands that require the cerebellum for normal levels of performance. In an effort to localize this shared functional process in the cerebellum, we used a slow event-related design to study the hemodynamic response in participants (N=12) as they performed rhyme judgment task and then compared to the results to separate pool of the subjects who performed a verbal working memory task (N=12). We hypothesized that these two tasks share cognitive processes and thereby neural substrates; in other words, they will engage the same functional regions in the cerebellum. Secondly, we hypothesized that these functional regions would be most engaged during task components negatively impacted by concurrent articulation, i.e., the encoding period of verbal working memory tasks and judgments involving mismatched non-rhyme pairs, e.g. “tint” and “pint. ” We found three potential clusters engaged in both tasks, with one region (located in Crus I) demonstrating the predicted response patterns across different task components. Based upon these findings and the cognitive literature on verbal working memory and rhyme judgments, we suggest that this region contributes to an internal speech-based process that involves phonological error prediction.
Mental Pain, Communication Difficulties, and Medically Serious Suicide Attempts: A Case-Control Study

Medical severe suicide attempts (MSSA) are epidemiologically very similar to individuals who complete suicide. Thus the investigation of individuals who have made MSSAs may add to our understanding of the risk factors for completed suicide. The aim of this study was to assess the role of mental pain and communication difficulties in MSSA. A total of 336 subjects were divided into 4 groups: 78 meeting criteria for MSSA compared with116 subjects who made a medically non-serious suicide attempt (MNSSA), 47 psychiatric controls with no history of suicidal behavior, and 95 healthy controls. Mental pain variants (e.g., hopelessness), facets of communication difficulties (e.g., self-disclosure), as well as socio-demographic and clinical characteristics were assessed. The MSSA had significantly higher communication difficulties than the other 3 groups. Moreover, the interaction between mental pain and communication difficulties explained some of the variance in suicide lethality, above and beyond the contribution of each component alone. This report underlines the importance of mental pain for suicide attempts in general while difficulties in communication abilities play a critical role in differentiating MSSA from MNSSA. The co-existence of unbearable mental pain with difficulties in communication significantly enhances the risk for more lethal forms of suicidal behavior.
William an Indicator of Poor Prognosis Mycobacterium tuberculosis Bacteremia as HIV-Infected Adults Confirms of Tuberculosis from Blood Samples of Evaluation of Xpert MTB / RIF for Detection

Published Ahead of Print 15 May 2013. 10.1128/JCM.00330-13. 2013, 51(7):2311. DOI: J. Clin. Microbiol. Heyderman, Elizabeth L. Corbett and David Alland Geoffrey A. Chipungu, Theresa J. Allain, Robert S. Howson, Derek J. Sloan, Aaron Mdolo, Catharina Boehme, Nicholas A. Feasey, Padmapriya P. Banada, William an Indicator of Poor Prognosis Mycobacterium tuberculosis Bacteremia as HIV-Infected Adults Confirms of Tuberculosis from Blood Samples of Evaluation of Xpert MTB/RIF for Detection
Prevalence of asymptomatic bacteriuria among pre-school children in Nnewi , South-East Nigeria

Background: Early diagnosis and management of urinary tract infection (UTI) in young children reduces the risk of renal scarring and chronic renal insufficiency. We determined the prevalence of asymptomatic bacteriuria (ASB) among pre-school children in Nnewi, South-East Nigeria. Methodology: This was a crosssectional survey involving apparently healthy nursery school children aged 3-5 years. A pre-tested, care-giver administered questionnaire was used to obtain information about the participants including age, sex, history of fever and antibiotic administration in the two weeks preceding the study. Following a clinical examination, a sample of mid-stream urine was collected from each participant for dipstick urinalysis, and urine microscopy and culture. ASB was defined as the presence of ≥10CFU/ml of urine in a participant who had no symptoms of UTI. Results: Out of 792 children, 417 (52.3%) were females and 375 (47.4%) were males. The mean age of the children was 4.0 ± 0.7 years. ASB was found in 31 children (4%). The prevalence of ASB in females (7.2%) was significantly higher than in males (0.5%), p<0.001. The highest prevalence of ASB of 5.6% occurred in the 4year-olds and the lowest of 2.0 % occurred in 5 year olds, p=0.09. The commonest bacterial isolates among the ASB cases were Staphlococcus aureus , 13 (40.6%); Streptococcus faecalis, 9 (28.1%) and Escherichia coli, 5 (15.6%). Conclusion: Asymptomatic bacteriuria is commoner in female preschool children and S. aureus is the commonest bacterial isolate. Routine evaluation of female preschool children for bacteriuria is recommended.
Omnidirectional photometric visual path following for wheelchair autonomous driving

In this paper we address the issue of autonomous wheelchair navigation. Using an omnidirectional camera, we propose a system that allows wheelchair driving using a visual path following technique. First, a visual path composed of target images is acquired. Second, successive visual servoings are performed by minimizing the error between the current and a target image. Experiments were conducted on a variety of paths: straight line, curved line and forward/backward movements. The ground truth is obtained using a Vicon system that records wheelchair trajectories during the learning and the path following steps.
An optimized approach for multi-user facial expression-based video summarization

Video Summarization (VS), is one of the recent attractive research studies in huge amount of video contents news, sports videos, TV reality shows, Movie reviews etc., Based on user’s facial expression, VS is the challenging task in digital video technology. An automatic recognition of facial expressions is the necessary task in VS used in behavioural science and in clinical practice. The reliable recognition of facial expression by a machine is the critical compared to by a human. The non-uniqueness and the deformations in the human face require the toleration in human action recognition system. This paper proposes an effective toleration of facial variations themselves and addresses the problems in facial expression and video summarization and focuses the Multi-user Facial Expressions for Video Summarization (MFE-VS). The utilization of quantitative measures in proposed work estimates the user’s viewing interest based on the human emotional perspective. Initially, Gaussian filter eliminates the unnecessary things in an input image. Then, Viola-Jones face detector detects the face and eye regions. The utilization of Histogram of Gradients (HoG) and the Local Land scape Portrait (LLP) for extraction of shape and texture features. Once the labelling of features is over, the Probabilistic Neural Network (PNN) classifier predicts the exact expression of the user in the frames. Based on the obtained expression, the proposed work extracts the interesting frames and summarizes them that constitute final stage. The variations of facial expressions of viewers constitute attention states and the classification of positive and neutral states constitutes emotional states. The comparative analysis of proposed method with the traditional methods on the parameters of success rate, precision, recall, and interest scores assures the suitability of MFE-VS in facial expression based video summarization.
A Generic and Portable Database API Project Period : Dat

Most application developers do not fully master SQL as well as their favorite programming language, e.g., Java or C++. Furthermore, repetitive or equivalent SQL statements make it problematic and time consuming to test database interactions spread throughout an entire application. Hence, a need for a database abstraction layer exists. We suggest encapsulating SQL and database access via an Application Programming Interface (API). We design and implement a generic and portable API. Generic refers to the fact that no vendor speci c features, like Oracle's embedded Java, have been used in the design of the API. It aims at providing most used functionality in application development. To accommodate needs for extending the API, the design is modular. The goal of being portable is being independent from programming-language paradigms. Two versions of the API have been proposed: A static and a dynamic one. The static API catches many errors at compile-time, increasing the number of methods. In contrast, the dynamic API has fewer methods but most error checking is deferred until run-time. Furthermore, a generator for the API has been designed and implemented. Currently, the generator is capable of generating a PL/SQL speci c API for the Oracle platform. The generated API covers most commonly used functionalities in database application development.
A Learning-based Semi-autonomous Control Architecture for Robotic Exploration in Search and Rescue Environments

Semi-autonomous control schemes can address the limitations of both teleoperation and fully autonomous robotic control of rescue robots in disaster environments by allowing cooperation and task sharing between a human operator and a robot with respect to tasks such as navigation, exploration and victim identification. Herein, a unique hierarchical reinforcement learning (HRL) -based semi-autonomous control architecture is presented for rescue robots operating in unknown and cluttered urban search and rescue (USAR) environments. The aim of the controller is to allow a rescue robot to continuously learn from its own experiences in an environment in order to improve its overall performance in exploration of unknown disaster scenes. A new direction-based exploration technique and a rubble pile categorization technique are integrated into the control architecture for exploration of unknown rubble filled environments. Both simulations and physical experiments in USAR-like environments verify the robustness of the proposed control architecture.
Ethyl (E)-4-(2,4-Dimethoxyphenyl)-6-(2,4-dimethoxystyryl)-2-oxo-1,2,3,4-tetrahydropyrimidine-5-carboxylate

A new compound belonging to the “heterostilbene” derivative, namely ethyl (E)-4-(2,4-dimethoxyphenyl)-6-(2,4-dimethoxystyryl)-2-oxo-1,2,3,4-tetrahydropyrimidine-5-carboxylate (2), has been successfully synthesized as an unprecedented side product of the Biginelli reaction between 2,4-dimethoxybenzaldehyde, ethyl acetoacetate and urea, employing PTSA as catalyst in reflux conditions and using ethanol as solvent. The molecular structure of compound (2) was established by FTIR, HRESIMS, 1D and 2D NMR.
Speech separation by cost-sensitive deep learning

Deep learning based speech separation has demonstrated good performance in adverse environments. Recent study shows that multi-condition training, which trains a model with several noise scenarios, shows good generalization in test. However, treating all noise scenarios with the same training cost is usually not a good choice: A common problem is that, when training data contain a wide range of SNR, the data in low SNR environments suffer from large training loss, which results in a performance drop when test SNRs are low. In this paper, we propose three cost-sensitive deep learning methods to improve the performance of speech separation methods at low SNRs, which are the methods of (i) learning with a cost-sensitive objective, (ii) learning with cost-sensitive oversampling of training data, and (iii) learning with cost-sensitive undersampling of training data. We also propose to aggregate the three methods to a cost- sensitive deep ensemble learning method. Experimental results demonstrate the effectiveness of the proposed methods.
Thermodynamics and Transport Model of Charge Injection in Silicon Irradiated by a Pulsed Focused Laser

Focused pulsed visible laser used in laser-trimming technologies such as the laser diffused-resistor process may inject charges in the semiconductor, leading to an interaction with highly sensitive circuits. In order to evaluate the process impact on those circuits, a study of the perturbation on the free-running frequency of a ring oscillator due to a nearby laser pulse has been made. The behavior of this modification as a function of the laser-pulse power exhibits complex features. A thermodynamics and electrical model of the charge injection by a focused pulsed laser on silicon has been developed. First, the laser-induced charge diffusion is calculated by a finite-element-model coupling Boltzmann semiclassical transport and thermodynamic equations; the last one being necessary, as relatively high laser power may increase significantly the local temperature. The result is then fed into an electrical model of the ring oscillator as a perturbation injected by a current source. This model coupled to parasitic-light effects due to geometrical changes during silicon melting is able to explain the oscillator's operation-frequency modification.
Effective hydrostatic limits of pressure media for high-pressure crystallographic studies

The behavior of a number of commonly used pressure media, including nitrogen, argon, 2-propanol, a 4:1 methanol–ethanol mixture, glycerol and various grades of silicone oil, has been examined by measuring the X-ray diffraction maxima from quartz single crystals loaded in a diamond-anvil cell with each of these pressure media in turn. In all cases, the onset of non-hydrostatic stresses within the medium is detectable as the broadening of the rocking curves of X-ray diffraction peaks from the single crystals. The onset of broadening of the rocking curves of quartz is detected at ∼9.8 GPa in a 4:1 mixture of methanol and ethanol and at ∼4.2 GPa in 2-propanol, essentially at the same pressures as the previously reported hydrostatic limits determined by other techniques. Gigahertz ultrasonic interferometry was also used to detect the onset of the glass transition in 4:1 methanol–ethanol and 16:3:1 methanol–ethanol–water, which were observed to support shear waves above ∼9.2 and ∼10.5 GPa, respectively, at 0.8–1.2 GHz. By contrast, peak broadening is first detected at ∼3 GPa in nitrogen, ∼1.9 GPa in argon, ∼1.4 GPa in glycerol and ∼0.9 GPa in various grades of silicone oil. These pressures, which are significantly lower than hydrostatic limits quoted in the literature, should be considered as the practical maximum limits to the hydrostatic behavior of these pressure media at room temperature.
Nuts & Bolts of Advanced Imaging-Parallel Imaging

OBJECTIVES: This course aims to describe the effects of colored noise in the parallel MRI [1– 3] experiment and how to perform a reconstruction, which takes the noise distribution into consideration. Techniques for SNR scaled reconstruction [4] are described for Cartesian and non-Cartesian imaging. The course will also describe iterative reconstruction algorithms and their regularized forms. Software for all the described reconstruction processes will also be introduced.
A Credit Model Based on Multi-Variables Fuzzy Reasoning

Credit evaluation is the basis for business decision-making. While the feasibility of credit model will directly influence the risk of deals. The designation of credit model with high reliability will make great sense for the progress of e-business technology. According to its fuzzy characters, a credit evaluation framework based on multivariable fuzzy reasoning is designed, which describes credit in a more natural way and its reasoning procedure is much closer to people's thinking process than others. This model has been applied to the business examples, which provides key technique support for e-commerce.
How Useful Are the Two Child Dummies in the Rear Seat of NCAP Testing

This study aimed to investigate the utility of the responses of the two child dummies (P1.5 and P3) that are placed in the rear seat, in identical forward facing child restraints during frontal Australian New Car Assessment Program (ANCAP) tests. Dynamic responses of the two child dummies, vehicle crash parameters, and frontal dummy responses were extracted from the ANCAP report database for 35 frontal crash tests. Linear regression analysis was used to assess: the similarity between the two dummies’ responses; variation between frontal dummy responses; and relationships between the child dummy responses and other measured crash parameters. Dynamic responses from the P1.5 and P3 dummies were highly correlated with each other, including head accelerations, neck forces, and chest accelerations (p 0.05 for all). Unlike the two front-seated occupants, where the dummies provide different information about the vehicle’s safety performance, the two rear-seated child dummies in child restraints are providing essentially duplicate information. Head excursion of the dummies is not measured in the current ANCAP test protocol, and this may be a more sensitive and meaningful assessment of child restraint occupant serious head injury risk. Only 35 vehicles were included in the analysis, and data on some variables (including neck moments, and harness and top tether payout during testing) were not recorded in all tests. These results suggest that using two child dummies in forward-facing child restraints is not providing significantly more information than could be gleaned from a single child dummy in a child restraint. This suggests that one of these child dummies could be usefully replaced with an alternative dummy representing an older rear seat occupant, without loss of information on a vehicle’s ability to protect child-restraint users. Possibilities for such a replacement occupant include a 10 year old child dummy using the lap-sash seatbelt (as is being trialed in Japan NCAP tests), a booster-seated 6 year old dummy, or a small female occupant. Any of these options would provide additional information on vehicle safety performance than is currently being reported in most NCAPs.
Robust control of multi-connected nonlinear system

The article deals with the synthesis of algorithms of a multi-connected robust system with two reference models in local subsystems to control the affine objects, which state variables are not available to direct measurement. It is shown that the decentralized law of control based on the hyperstability criterion, eliminates the effects of nonlinearities and compensates the external and parametric disturbances in tracking multi-connected system with the required accuracy.