Miracle-dz/UniFAR-FTUs huggingface dataset:
2 Navigating abstract virtual environment : An electroencephalography ( eeg ) study *

Perceptions of different environments are different for different people. An abstract designed environment, with a degree of freedom from any visual reference in the physical world requests a completely different perception than a fully or semi-designed environment that has some correlation with the physical world. Maximal evidence on the manner in which the human brain is involved/operates in dealing with such novel perception comes from neuropsychology. Harnessing the tools and techniques involved in the domain of neuropsychology, the paper presents nee evidence on the role of pre-central gyrus in the perception of abstract spatial environments. In order to do so, the research team developed three different categories of designed environment with different characteristics: 1-Abstarct environment, 2-Semi-designed environment, 3Fully designed environment, as experimental sample environments. Perception of Fully-designed and semi-designed environments is almost the same, [maybe] since the brain can find a correlation between designed environments and already experienced physical world. In addition to this, the response to questionnaires accompanied with a list of buzzwords that * Published as: Hakak, A. M. , Bhattacharya, J., Biloria, N. , de Kleijn, R. , & Shah-Mohammadi, F. (2016). “Navigating abstract virtual environment: an eeg study”. Cognitive Neurodynamics, 1-10, Springer publisher, New York, USA
TEACHERS’ CONCERNS REGARDING THE IMPLEMENTATION OF INTEGRATED THEMATIC INSTRUCTION (ITI)

The purpose of this study was to explore primary grade teachers’ concern about an educational reform initiative called Integrated Thematic Instruction (ITI) in Indonesia. In 2006, the Indonesian Ministry of Education mandated primary school teachers to implement ITI. Using a convenience sampling method, 150 teachers in one major province in Indonesia participated in the study. The data collection method used a standardized questionnaire from The Stages of Concern Questionnaire (SoCQ). The data analysis employed in this research involved descriptive, quantitative methodologies. The results of the study revealed that the teachers have unresolved awareness and self-informational concerns. This study provides perspectives on curriculum implementation in general and ITI in particular by adding to the small body of existing literature concerning how teachers regard the new policy implementation. This study provides insight into policy implementation approaches by clarifying how the new curriculum can be adapted during the reform process. Recommendations of this study include the need to build a comprehensive system for monitoring, supervising, and scaffolding teachers’ implementation of ITI.
University of Birmingham Non-traditional antibacterial therapeutic options and challenges

The global challenges presented by drug-resistant bacteria infections has stimulated much 10 activity in finding new treatments. This review summarizes the progress, and set-backs, of 11 non-traditional approaches intent on circumventing bacterial drug-resistance. These 12 approaches include targeting virulence via toxin production and virulence factor secretion, 13 impeding bacterial adhesion to host cells and biofilm formation, interrupting/inhibiting 14 bacterial communication and down regulating virulence. Other strategies include immune 15 evasion, microbiome modifying therapies and the employment of phages as treatments or 16 carriers. Finally, the prospects of nanoparticles, immunotherapy, antisense RNA and drug- 17 resistance modulation approaches are discussed. The development of non-traditional 18 treatments suffers similar challenges faced by developers of conventional antibiotics, however 19 most of these new strategies have additional and considerable hurdles before it can be shown 20 that they are safe and efficacious for patient use. For the foreseeable future, it is likely that 21 most of these treatments, if approved, will be used in combination with antibiotics.
Doubly Auxotrophic Marker Strains

A model system for one-step gene disruption for an asporogenous methylotrophic yeast, Candida boidinii, is described. In this system, the 3-isopropylmalate dehydrogenase gene (C. boidinii LEU2) was selected as the target gene for disruption to derive new host strains for transformation. First, the C. boidinii LEU2 gene was cloned, and its complete nucleotide sequence was determined. Next, the LEU2 disruption vectors, which had the C. boidinii UR43 gene as the selectable marker, were constructed. Of the Ura+ transformants obtained with these plasmids, more than half showed a Leuphenotype. Finally, the double-marker strains of C. boidinii were derived. When vectors with repeated flanking sequences of the C. boidinii URA3 gene were used for gene disruption, LeuUra+ transformants changed spontaneously to a LeuUraphenotype ca. 100 times more frequently than they did when plasmids without the repeated sequences were used. Southeru analysis showed that these events included a one-step gene disruption and a subsequent popping out of the C. boidinii URA3 sequence from the transformant chromosome.
Splicing Enhancer

We have previously shown that a purine-rich sequence located within exon M2 of the mouse immunoglobulin gene functions as a splicing enhancer, as judged by its ability to stimulate splicing of a distant upstream intron. This sequence element has been designated ERS (exon recognition sequence). In this study, we investigated the stimulatory effects of various ERS-like sequences, using the in vitro splicing system with HeLa cell nuclear extracts. Here, we show that purine-rich sequences of several natural exons that have previously been shown to be required for splicing function as a splicing enhancer like the ERS of the immunoglobulin 1
Crisis Response Ontology to Enhance Emergency Preparedness Using Online Incremental Clustering Algorithm

: Emergency is the situation in which the community is capable of coping. An immediate attention of emergency resources is required for the imminent occurrence of an event. Preparedness is scheduling in order how to respond. Although it initially surfaced as a concept in the military domain, Emergency preparedness has been studied across a broad range of domains for both individual and team activities. Significantly, it’s been recognized as a essential part of building successful and effective decisions for emergency response. This paper efficiently studies the increasing use of ontology during crises that offers new information sources from which the right authorities can enhance emergency preparedness.
OP-POLI210066 1..10

This article evaluates the introduction of an online assessment protocol to student officers on a Police Constable Degree Apprenticeship (PCDA) programme in the aftermath of the implementation of the COVID-19 global pandemic lockdown. This evaluation comes from conducting two cycles of action research to examine and improve the provision of an online multiple choice/short question exam which came about as a result of the lockdown, and the necessary withdrawal of university staff from face-to-face contact. The study shows that the introduction of the online exam was successful and contributed to a positive student experience, while providing vital feedback to the programme team to make continual improvements and can be progressed after lockdown and into the ‘new normal’.
Microsoft Word-AD-GLV-JBC-MS_glv edit-AD_add_images---final.docx

Epigenetic methylation of cytosine residues in DNA is an essential element of genome maintenance and function in organisms ranging from bacteria to humans. DNA 5-cytosine methyltransferase enzymes (DCMTases) catalyze cytosine methylation via reaction intermediates in which the DNA is drastically remodeled, with the target cytosine residue extruded from the DNA helix and plunged into the active site pocket of the enzyme. We have determined a crystal structure of M.HaeIII DCMTase in complex with its DNA substrate at a previously unobserved state, prior to extrusion of the target cytosine and frameshifting of the DNA recognition sequence. The structure reveals that M.HaeIII selects the target cytosine and destabilizes its base-pairing through a precise, focused and coordinated assault on the duplex DNA, which isolates the target cytosine from its nearest neighbors and thereby facilitates its extrusion from DNA.
International Journal of Scientific Research in Computer Science, Engineering and Information Technology

Brain tumor is connecting abnormal mass of tissue within human brain. The Accurate and early detection of tumor is very necessary for doctors to prevent permanent damage to brain. The main task of the doctors is to detect brain tumor which is time consuming for which they feel burden. So Automatic brain tumor detection is boom to doctors for aiding to diagnose malignant in brain. In the current paper we are going to present the automatic technique by using MFHWT and Fuzzy to detect Tumor. The algorithm present in this paper reduces extraction steps through enhancement the contrast in tumor image by processing the mathematical morphology. The segmentation and the localisation of suspicious regions are performed by applying the region growing marking then feature extraction with MFHWT Finally Fuzzy algorithm is implemented to extract the tumor.
CMAR_A_205906 7141..7157

1Department of Surgery, Amsterdam University Medical Centre, University of Amsterdam, AZ 1105, Amsterdam, The Netherlands; 2Department of Abdominal Surgery, University Hospital Leuven, Leuven 3000, Belgium; 3Clinical Research Unit, Amsterdam University Medical Centre, University of Amsterdam, AZ 1105, Amsterdam, The Netherlands; 4Department of Pathology, Radboud University Medical Centre, GA 6525, Nijmegen, The Netherlands; 5Department of Medical Oncology, Amsterdam University Medical Centre, University of Amsterdam, AZ 1105, Amsterdam, The Netherlands; 6Department of Surgery, St. Antonius Hospital, CM 3435, Nieuwegein, The Netherlands; 7Department of Surgery, Radboud University Medical Centre, GA 6525, Nijmegen, The Netherlands Purpose: The aim of this study was to evaluate the impact of a laparoscopic approach on
Natural-air-cooled 5 kVA single-phase GaN inverter with paralleled multilayer PCB magnetics

In this study, a systematic approach to the design and development of a high-efficiency, natural-air-cooled, single-phase inverter with a multilayer high-current printed-circuit board (PCB) magnetics is presented. The size and efficiency of inverters implemented with the silicon transistor technology have almost reached a certain limit. The use of wide bandgap power semiconductors, such as the silicon carbide metal–oxide–semiconductor field-effect transistor and the gallium nitride (GaN) enhancement-mode (e-mode) transistor not only pushes further the efficiency limits, but also shrinks the inverter size. A new approach is proposed here in order to obtain a high-efficiency inverter which relies basically upon the derivation of analytical expressions for the inverter losses as a function of the inverter modulation index, for the optimum transistor and highest switching frequency pair selection, and the design of the output filter based on a paralleled, multilayer PCB magnetics. In the developed 5 kVA single-phase full-bridge inverter, GaN e-mode transistors are used to minimise the inverter losses and to decrease the cooling requirement, and size of the system. The proposed systematic design approach has been verified on the implemented 5 kVA, 50 kHz, naturally-cooled GaN inverter, with a power density of 2.7 W/cm 3 (44.3 W/inch 3 ), and a full-load efficiency of 98%.
LIDAR–camera deep fusion for end-to-end trajectory planning of autonomous vehicle

Lidars and cameras are critical sensors which offer complementary information for scene perception and trajectory planning tasks in autonomous driving. In this work, we propose an attention-based framework to integrate representations of information from the two sensors and complete trajectory planning tasks using an end-to-end learning-based approach. To fuse 3D point cloud with RGB image in the same dimension, we also utilize a gradient transformation operation to convert point cloud into grey images. For the trajectory planning task, we use an auto-regressive network consisting of GRUs to predict future trajectory of ego-vehicle. The experiment results show that the proposed framework outperforms the models with single sensor input and the model without cross attention. We demonstrate the efficacy of our approach in the CARLA driving simulator.
Investigation into the Evolution of Unsteady Flow of Lubricating Oil System in Guide Bearing of a Pump Turbine Unit

The water-guide bearing lubricating oil system of pumped storage unit is prone to oil dumping and oil spillage during the start-up of the unit, which seriously threatens the safe and stable operation of the unit. In this study, a three-dimensional unsteady numerical simulation is performed to investigate the causes of oil dumping and oil spillage of a water-guide bearing lubricating oil system of a pumped storage power plant unit based on the VOF (volume of fluid) multiphase flow model and Realizable k-ε model. The unsteady flow characteristics inside the rotating oil basin and pump-type Pitot tube during the start-up process are analyzed. The results demonstrate that the change of the external characteristics of the lubricating oil system can be divided into two stages, the initial formation process of the lubricating oil flow and the stable circulation process of the lubricating oil flow. In the initial formation process, the pressure inside the rotating basin is uniformly distributed in the circumferential direction, and a high-pressure zone is generated near the inlet of the pump-type Pitot tube, driving the lubricant flow to the stationary basin above; in the stable flow cycle process, the internal lubricant flow velocity gradually decreases along the radius direction, and a large vortex zone appears behind the pump-type Pitot tube and at the inlet of it. This phenomenon leads to the lubricating oil pressure here to be lower than the saturation vaporization pressure, which may trigger lubricating oil atomization and then overflow from the seal ring. This study is committed to provide theoretical analysis and engineering reference for the investigation of the causes of oil dumping and oil spillage in the lube oil system of water guide bearings of pumped storage units.
A 10 × 10 deep ultraviolet light-emitting micro-LED array

In this work, we design and fabricate a deep ultraviolet (DUV) light-emitting array consisting of 10 × 10 micro-LEDs (μ-LEDs) with each device having 20 μm in diameter. Strikingly, the array demonstrates a significant enhancement of total light output power by nearly 52% at the injection current of 100 mA, in comparison to a conventional large LED chip whose emitting area is the same as the array. A much higher (~22%) peak external quantum efficiency, as well as a smaller efficiency droop for μ-LED array, was also achieved. The numerical calculation reveals that the performance boost can be attributed to the higher light extraction efficiency at the edge of each μ-LED. Additionally, the far-field pattern measurement shows that the μ-LED array possesses a better forward directionality of emission. These findings shed light on the enhancement of the DUV LEDs performance and provide new insights in controlling the light behavior of the μ-LEDs.
Erosion wear in a double-suction centrifugal pump using an improved erosion model

Prediction of erosion wear in double-suction centrifugal pumps is studied numerically using an improved erosion model (EM). Experiments are also performed to verify the improved EM’s prediction ability. In the experiments, painted layers of five colors are applied to the blade surfaces using spray guns to show the erosion wear distribution, where the colors and the order are selected based on the simulated results. In simulations based on the Oka model, the small-angle scratching effect is specifically added to the improved erosion model (called the Qian EM here). For the chosen double-suction centrifugal pump, the Oka EM and the Qian EM are used to predict erosion wear, including the wear area and intensity. Both EMs effectively predict the erosion areas of the leading edge, the suction side inlet part and the pressure side outlet part of the blade, but the Qian EM shows better ability to predict the erosion area of the outlet part on the suction side. Additionally, the erosion intensity seems more reasonable with the Qian EM. Inclusion of all different particle sizes in the numerical simulations is found to be necessary to predict erosion wear accurately because each single particle size may provide important information.
Factors affecting physical match activity and skill involvement in youth soccer

ABSTRACT Objectives: To examine the factors affecting both physical and technical match activity in youth soccer. Methods: Activity profiles (physical) and skill involvements (technical) were collected from 160 players (aged 11–17 years) across one season in a recreational, school-based soccer program. Team coaches selected players into playing levels and playing positions, and individual fitness characteristics were obtained. Three linear mixed models examined the influence of playing level, playing position and individual fitness characteristics on both physical (relative total distance; TD; m·min–1, relative high-speed running distance; HSR; m·min–1) and technical match activity (relative skill involvements; involvements·min–1). Results: Midfielders performed higher TD (attackers: –5.6%, fullbacks: –7.6%, central defenders: –13.6%) and skill involvements (attackers: –25.4%, fullbacks: –21.8%, central defenders: –27.3%) compared to all other positions. Attackers performed the most (11.3%), and central defenders the least HSR distance (–22.2%). Individual fitness characteristics were positively associated with both TD and HSR. Skill involvement was also increased by TD. Conclusions: These findings highlight the complex interaction of factors influencing developmental opportunities during soccer match play. As playing position was shown to influence match activity in the present cohort, varying positions is important to maximise skill and physical development opportunities in young soccer players.
Establishment of constitutive model based on Ogden strain energy storage function and its matching with the mechanical properties of polyurethane dielectrics

In order to find the constitutive relationship of mechanical properties suitable for polyurethane dielectric elastomer, the constitutive model of dielectric elastomer based on Ogden strain energy storage function was established. Then taking polyether MDI polyurethane as the research object, the first-order, second-order and third-order Ogden constitutive models were fitted by the preparation and mechanical properties test of polyurethane dielectric elastomer with different soft and hard segment contents. It is found that the second-order Ogden constitutive model fits the stress-strain curve of polyurethane dielectric elastomer well, and the highest modified fitting coefficient is as high as 0.9996. At the same time, we found that the fitting effect of the third-order Ogden constitutive model is greatly affected by the soft segment content, and the fitting effect is good when the soft segment content is high, while the fitting effect of the first-order Ogden model is bad. In addition, there is no effect when the drawing rate and shape change. This is because the first-order Ogden model can be simplified into Neo Hooken model and Mooney Rivlin model, which are suitable for the mechanical behavior of small deformation range and have poor fitting for the nonlinear large deformation process of the system.
Detection algorithm of aerial vehicle target based on improved YOLOv3

In order to solve the problems of large number, small size and low detection accuracy of vehicle targets in aerial photography, a target detection algorithm based on improved YOLOv3 is proposed in this paper. Firstly, aiming at the problem of small target information loss of road vehicles, a new detection size is added.Secondly, in order to better detect small targets, a 104x104 scale detection layer is added on the basis of the three detection layers of the traditional yolov3 network structure.The k-means + + algorithm is used to cluster the data set, and a new ground target detection candidate frame is obtained. The loss function is improved by using Focal loss function in the classification loss function and using DIoUloss function based on IoUloss improvement in the regression loss function.The improved YOLOv3 algorithm can identify the road vehicle target more accurately without the decline of speed, and reduce the miss rate. The improved algorithm is tested on Visdrone dataset, and the experimental data show that the average accuracy of the improved algorithm is 94.04%, and the average detection accuracy (mAP) is improved by 2.94%. The detection accuracy of the proposed improved YOLOv3 algorithm is better than that of YOLOv3.
Automatic Text Classification Using Machine Learning Algorithm of K-Nearest Neighbor (K-NN) and N-Gram Indexing

In this paper, a new model has been introduced for automatic text classification. This model includes two phases: text pre-processing and text classification. Pre-processing phase includes text preparation, indexing and indices weighting phases. Preparation phase of suggested model includes getting the words root, prefixes and suffixes omission, stop words omission and writing marks. In the proposed model, we used N-gram method for indexing in pre-processing phase and in order to weight the indices, TF.IDF filter was applied. In the second phase, K-Nearest Neighbor (K-NN) was used to train the model for classifying. In order to evaluate and compare the results, precision and recall measures; Micro – F1 & Macro – F1 have been calculated for different methods of indexing. The results of the tests conducted on Reuters 21578 data set showed that our proposed method has the best efficiency to Naïve Bayes & Decision Tree algorithms on this data set.
Evaluation of oxacillin tolerance in Staphylococcus aureus by a novel method

A novel agar dilution plate-count procedure for the quantitative measurement of bacterial inhibition and killing is described. For Staphylococcus aureus versus oxacillin, by the agar dilution plate-count procedure it was found that only 1 of 20 clinical isolates and 1 of 7 allegedly tolerant reference isolates met the conventional definition of tolerance. By using inocula of 10(5) CFU per plate, most isolates were demonstrated to have subpopulations of cells which, although inhibited, persisted for 24 h in concentrations significantly above their MICs. The persister percentages at 24 h appeared to be strain dependent, and all persisters exhibited the paradoxical effect. For each isolate, the persister percentage markedly decreased after action by oxacillin for 48 h, and the paradoxical effect was greatly diminished. Our findings suggest that tolerance is an artificial and arbitrary concept that does not adequately characterize the inhibition and killing dynamics associated with the persister phenomenon.