Miracle-dz/UniFAR-FTUs huggingface dataset:
Initial Design and Features of an Augmented Reality System for Urban Park Touring and Management

Urban parks and open green areas are important attractions of environmental interest to city residents and visitors. Careful and well-targeted promotion of these areas, not only enhances the importance of their existence in the urban space, but at the same time can assist in the development of alternative forms of “green tourism”, and towards the direction of environmental awareness among citizens, which is particularly important nowadays and crucial for the future of the planet. New technologies are a key tool in enhancing the experience of touring urban parks, as they can make the tour much more attractive, highlighting interesting information about the flora and fauna of the park, as well as various other points of interest. They can also assist park managers in organizing events, thus solving one of the key operating problems mainly of large-scale urban parks, which is the failure to exploit their entire site due to reduced or problematic accessibility. This paper presents the initial design methodology and the main features of an integrated system that comprises an augmented reality mobile application for visitors of urban parks, and a corresponding park management web application for the managers of such park. Through the mobile app, an attractive, interactive touring environment will be created which will highlight the environmental and historical interest of those sites. At the same time, the web application will receive multimedia data from the users and will automatically collect anonymous data that may be useful to park managers to improve the visitors’ touring experience.
A Survey on Predicting Pedestrian Safety based on Physical and Psychological factors of Pedestrians Motion

Walking is the special mode of transportation that comprises 60% of the World’s population. This population includes the pedestrians as the focus of sight, because they are considered as the road users. Understanding the behavior of road users is a difficult task as people have complex mindsets. When people are crossing the road, they have been subjected to various attitude issues and other psychological issues. The prediction of the pedestrian’s motion is very ridiculous, because their motions has to be predicted related to the traffic parameter. A prediction algorithm always uses the past experiences to anticipate the future events. These algorithms use the set of sample data from a sample collected over a period. This makes prediction algorithms more ideal to use within smart environments. So as a part of this study, we have compared various algorithms, for their accurateness of the prediction on pedestrians’ movements. This paper also focuses on the various pedestrian’s data set, pedestrian behavior estimation and the various algorithms used to predict the behavior of the people. As a part of our research on pedestrian safety prediction would be done by providing an efficient prediction algorithm based on their movements, ecological factors, pedestrians’ psychological factors, other outreaches.
Cohort risk sharing in Pakistan: Relative wage and consumption movements over time

This study analyzes to which extent the distribution of consumption is affected by the relative wage movement among birth cohorts and education groups. Our empirical design is based on a synthetic panel constructed using repeated cross-sectional data from “Household Integrated Economic Survey of Pakistan. ” We limit our analysis to persons aged between 26 to 50 years at the time of survey. To see the evolution of change in income and consumption we measured growth by taking 6, 8and 10-years’ difference respectively. The findings ascertained there is limited risk-sharing across cohorteducation groups in Pakistan, but the measured extent of risk-sharing increases over longer horizons. Furthermore, we observe relatively higher consumption smoothing among the less educated people over the period of ten years. In the university education group, results reveal less consumption smoothing in the shorter, sixand eight-year time periods. The study concludes that the relative risk-sharing over a decade is better in Pakistan than the shorter growth horizon.
β-type and generalized β-γ-type multi-valued contractive mappings in a Menger PbM-space

In the present paper, we introduce the notions of β-type and generalized β-γ-type multi-valued contractive mappings in a Menger PbM -space and obtain some new fixed point theorems for both βadmissible and (β, γ)-admissible mappings. Our results extensively generalize previous results in this framework. Furthermore, we support our results by some non-trivial examples and an application. AMS Subject Classification: 47H10; 47S50
Application of Design of Experiments and Multilayer Perceptron Neural Network in Optimization of the Spray-Drying Process

The aim of this study was to investigate the effect of changing spray-drying parameters on the production of a naratriptan/maltodextrin/lactose composite, as well as to evaluate the application of design of experiments and multilayer perceptron (MLP) neural network in studying the spray-drying process. The system was spray dried as an aqueous solution using a Büchi 290-Mini Spray Dryer (Büchi Laboratoriums-Technik AG, Switzerland). A 24−1 factorial design study was undertaken to select the spray-drying processing variables that significantly affect the production yield, outlet air temperature, and residual moisture content. The process parameters studied were inlet air temperature, pump speed, aspirator setting (drying air flow rate), and feed concentration. After performing this screening study, three process parameters, pump speed, inlet air temperature, and feed concentration, were selected for further analysis, applying a central composite design and artificial neural network. Overall, the parameter that had the greatest influence on each investigated response was pump speed. It significantly influenced yield, moisture content, and particle size. Interaction between inlet air temperature and feed concentration was the only statistically significant interaction that influenced the moisture content. Particle size was mostly influenced by feed concentration as well as by a pump speed. A multilayer perceptron was the type of artificial neural network applied. The selected MLP structure had three layers: the first layer had three input units, the second layer had three hidden units, and the third layer had four output units. The selected MLP was trained through 10,000 epochs. Design of experiments using response surface methodology allows insight into interactions between variables, and an artificial neural network provides better prediction potential, enabling simultaneously determination of several outputs. Design of experiments and artificial neural network proved to be useful tool for optimization of the spray-drying process, where a design space for achieving the best process yields and optimum particle characteristics was established. There is a possibility that this conclusion can be drawn for other maltodextrin/lactose systems with other drug substances or for other similar spray-dried systems (the feedstock type is a carbohydrate-based aqueous solution). In future work, this will be tested with other materials.
Composition and Size Distribution of Coherent Nanostructures in Athabasca Bitumen and Maya Crude Oil

The size, shape, and composition of coherent nanostructures in hydrocarbon resources from natural gas to bitumen continue to be debated. Much research has focused on asphaltenes and other fractions separated chemically from their underlying hydrocarbon resources and their behaviors exhibited when these materials are remixed or added to other fluids. In this contribution, we step back and pose a simple question: “what can be learned about nanostructure size and composition in hydrocarbon resources using a simple physical separation technique? ” To this end, Athabasca bitumen and Maya crude oil were partitioned, without solvent addition, using nanofilters at 473 K. These feeds possess significant asphaltene contents and, in the case of Athabasca bitumen, significant mineral matter content, which facilitate the measurement and interpretation of standard chemical analyses obtained for the feeds, and for permeates and retentates produced. Organic and inorganic elemental composition and saturate, aromatic, resi.
Synthesis of reactive nano-Fe/Pd bimetallic system-impregnated activated carbon for the simultaneous adsorption and dechlorination of PCBs

Synthesis and use of reactive metal particles have shown significant environmental implications for the remediation of groundwater and sediment contaminated with chlorinated compounds. Herein, we have developed an effective strategy, employing a series of innovative granular activated carbon (GAC) composites incorporated with iron/palladium (Fe/Pd) bimetallic nanoparticles. The physical adsorption of polychlorinated biphenyls (PCBs) to GAC and their electrochemical dechlorination by Fe/Pd bimetal on the GAC could be simultaneously achieved. The novel synthesis approaches and targets to achieve in this study are (i) introduction of mesoporous GAC for Fe/Pd bimetal placement, (ii) in situ formation and incorporation of Fe particles in the GAC pores, (iii) modification of Fe surface with a discontinuous layer of noble metal Pd, and (iv) nanoscaling of Fe and Pd particles. Fe was imbedded in 7−40 nm mesoporous GAC via an incipient wetness impregnation method employing Fe(NO3)3. Heat-treated GAC/Fe (as Fe2O3) .
A Survey on Novel Estimation Approach of Motion Controllers for Self-Driving Cars

The motion planning framework is one of the challenging tasks in autonomous driving cars. During motion planning, predicting of trajectory is computed by Gaussian propagation. Recently, the localization uncertainty control will be estimating by Gaussian framework. This estimation suffers from real time constraint distribution for (Global Positioning System) GPS error. In this research article compared novel motion planning methods and concluding the suitable estimating algorithm depends on the two different real time traffic conditions. One is the realistic unusual traffic and complex target is another one. The real time platform is used to measure the several estimation methods for motion planning. Our research article is that comparing novel estimation methods in two different real time environments and an identifying better estimation method for that. Our suggesting idea is that the autonomous vehicle uncertainty control is estimating by modified version of action based coarse trajectory planning. Our suggesting framework permits the planner to avoid complex and unusual traffic (uncertainty condition) efficiently. Our proposed case studies offer to choose effectiveness framework for complex mode of surrounding environment.
Problem based learning and team based learning efficiency among postgraduate nursing students in RAK medical and health Science University: A cross sectional study

Teaching strategies in the field of medical education has undergone tremendous changes in the last few years in order to help increasing the level of student learning. As the traditional problem based learning (PBL) requires intensive resources, there was a need to develop new technology like team based learning (TBL) to boost students desire for active learning. Hence, the present study was developed to compare the efficacy of TBL and PBL among postgraduate nursing students in RAKMHSU. Two similar questionnaire were developed to record Students feedback on TBL and PBL. Overall results of the present study showed that students benefited significantly from PBL sessions when compared to TBL sessions especially regarding learning domain. Students reported that PBL is still their preferred learning method. Proper formulation and integration of both PBL and TBL in the medical education process is needed in order to maximize their mutual benefits.
Integration Of Soft Skills Into The TVET Curriculum In Kenya

Life skills is a term used to describe a set of basic skills acquired through learning and/or direct life experience that enable individuals and groups to effectively handle issues and problems commonly encountered in daily life. They include creativity, critical thinking, problem-solving, decision-making, the ability to communicate and collaborate, along with personal and social responsibility that contribute to good citizenship – all essential skills for success in the 21st century, both for healthy societies and for successful and employable individuals. Life skills will help keep school-leavers off the streets and reduce the threat of social unrest; they will generate more employment opportunities than would otherwise be the case. The failure of TVET institutions to provide life skills results in graduates who, even when they have the requisite technical skills, are not able to succeed at work or in developing their own business and lack the resilience to recover from inevitable setbacks. This has in turn led to employers who are usually deeply dissatisfied with the public TVET system and often must invest their own resources in training their staff. The objective of this research was to test the potential for integrating CAP YEI’s proven life skills curriculum in the public TVET system by introducing the module to a selected number of Vocational Training Centers (VTC’s) in Kenya and assessing the impact on beneficiaries’ learning and course completion outcomes against a chosen control group. Generally, there was a positive trend with the Treatment Group (TG), which can be attributed to the Life Skills that had been offered to the students. The difference in proportion of change between the Treatment and Control Groups was significant and the direction towards the predicted change indicated that the life skills training had a positive impact on the youth. The findings of this study will be helpful to TVET institutions and other institutions of higher learning to integrate life skills into their curriculum in order to lead to improved learning and livelihood outcomes.
Aluminum-based PVD rear-side metallization for front-junction nPERT silicon solar cells

Zusammenfassung: Diese Arbeit befasst sich mit Al-basierter physikalischer Gasphasenabscheidung als alternatives Herstellungsverfahren einer Ruckseitenmetallisierung fur nPERT Siliziumsolarzellen. Al-basierte Metallisierungssysteme wie Al, Al-Si-Legierung (1 at% Si) und Al-Si/Al-Schichtstapel wurden in Bezug auf Al-Spiking, spezifischem Kontaktwiderstand und Ruckseitenreflexion untersucht und verglichen. Bei Verwendung einer Al-Einzelschichtmetallisierung kam es zur Bildung von Al-Spikes. Wurde eine Al-Si-Legierung aufgebracht, konnte das Al-Spiking vermieden werden, jedoch gleichzeitig mit einer Bildung von starkausgepragten Si-Prazipitaten. Deswegen wurde ein neuer Ansatz mit einem Al-Si/Al-Schichtstapel statt Einzelschichtsystemen entwickelt. Mit diesem Ansatz und mit einer optimierten Dicke der Al-Si-Schicht konnten sowohl das Al-Spiking als auch die Si-Prazipitation deutlich reduziert werden. Der optimierte Al-Si/Al-Schichtstapel zeigte zusatzlich einen ausreichend niedrigen spezifischen Kontaktwidestand und eine hohe Ruckseitenreflexion und daruber hinaus eine deutlich hohere thermische Stabilitat verglichen mit dem Al-Einzelschichtmetallisierung.
Solution of the Problem about Speeds and Special Positions of Spherical Parallel Manipulator

In recent years the number of studies of spherical parallel mechanisms has grown. Manipulators of a parallel structure are increasingly used in various fields of technology, since there is a need for mechanisms with increased performance in terms of load capacity and accuracy. These devices are used as propulsion, measuring, technological and testing systems. Spherical manipulators are used in devices for orienting antennas, telescopes, and in test benches. The article considers the study of the kinematics problem for the spherical mechanism of parallel structure with three degrees of freedom, with three kinematic chains. A solution to the problem of speeds is presented and special positions of the mechanism are found by screw calculus. Examples of calculating the direct and inverse velocity problems are given.
Extensive and Persistent Disruption of Neurovascular Coupling by a Single Cerebral Microinfarct

Cerebral microinfarcts (CMI), microscopic brain lesions caused by blockade of small blood vessels, have recently emerged as a potential determinant of cognitive decline. Though small in size, our recent work demonstrated that a single, strategically placed CMI was sufficient to disrupt sensory input in a behavioral task. However, the means by which such small lesions disrupt brain function remain poorly understood. We imaged vascular function in awake, head-fixed mice using two-photon microscopy to examine the impact of CMI on neurovascular coupling. CMI were generated in cortex by photothrombotic occlusion of single penetrating vessels through a thinned-skull cranial window. Vibrissa-evoked dilation of individual arteries and arterioles within the primary vibrissa cortex were tracked over four time periods: pre-occlusion, acute (2-3 days post-occlusion), subacute (7-9 days) and chronic (14-21 days). In the acute phase, dilatory responses were markedly attenuated compared to pre-occlusion (2.2 ± 0.5% mean dilation over baseline vs. 11.2 ± 0.8%, p < 0.001). Dilatory responses during the subacute (7.8 ± 1.1%) and chronic (6.5 ± 1.1%) phases partially recovered but remained significantly attenuated in magnitude and time to dilation compared to pre-occlusion (p < 0.01). Critically, vascular dysfunction was observed well beyond the borders of the CMI, as infarcts with an average radius of 0.19 ± 0.05 mm generated deficits in dilation at distances exceeding 1 mm away from the vessel targeted for occlusion. Analysis of dilations in a separate cohort of mice during the hyperacute time period (0-3 hours postocclusion), revealed that the dilatory deficit is first expressed in the immediate vicinity of the stroke and then propagates outward from the occlusion site. While unresponsive to sensory stimulation, vasodilation could be evoked by isoflurane inhalation, albeit attenuated in the subacute phase (156.7 ± 5.3% of pre-stroke levels vs. 134.6 ± 4.3% subacute, p = 0.02). Expression of c-Fos following an extended period of vibrissa stimulation was reduced in the peri-infarct tissue in the acute time period, with gradual recovery initiating distal to the stroke apparent in subacute and chronic mice. This indicated that loss of sensory-evoked vasodilation is attributed to a combination of altered vascular mechanical properties and a deficit in neural connectivity and/or activity. Thus, CMI disrupt brain function well beyond the regions of overt tissue infarction and this effect, combined with their widespread distribution in the aged brain, may contribute to the pathogenesis of CMI in vascular dementia.
Dnmt3a knockout in excitatory neurons impairs postnatal synapse maturation and is partly compensated by repressive histone modification H3K27me3

Two epigenetic pathways of repression, DNA methylation and Polycomb repressive complex 2 (PRC2) mediated gene silencing, regulate neuron development and function, but their respective contributions are unknown. We found that conditional loss of the de novo DNA methyltransferase Dnmt3a in mouse excitatory neurons altered expression of synapse-related genes, stunted synapse maturation, and impaired working memory and social interest. Loss of Dnmt3a abolished postnatal accumulation of CG and non-CG DNA methylation, leaving neurons with an unmethylated, fetal-like epigenomic pattern at −140,000 genomic regions. The PRC2-associated histone modification H3K27me3 increased at many of these sites, partially compensating for the loss of DNA methylation. Our data support a dynamic interaction between two fundamental modes of epigenetic repression during postnatal maturation of excitatory neurons, which together confer robustness on neuronal regulation.
Decision-making and social skills in children with ADHD

There is evidence that children with attention-deficit/hyperactivity disorder (ADHD) have more deficits in decision-making and social skills. This study aimed to verify whether these findings could be replicated in a sample of Brazilian children and whether these two domains were associated. Forty-nine children with ADHD and 57 children without ADHD responded to two computerized decision-making tasks and to an inventory of social skills. The children with ADHD showed worse indicators of social skills. However, the groups presented similar decisionmaking patterns, and these measures did not predict the overall social skills scores.
Biodegradation of textile dyes waste water by Pleurotus eryngii

Pleurotus eryngii, dyes, decolorization, immobilization The potential of Pleurotus eryngii was studied for decolorization ability of different types of textile dyes which were screened on liquid medium. During decolorization study on seven textile dyes, it was found that P. eryngii had the most efficient decolorization on reactive Blue 21 with decolorization percentage (98.4%). On the other hand, the immobilized P. eryngii on wheat straw, rice straw, sugar cane waste and wheat bran had biodegradation ability of Blue 21 dye. The immobilization of fungus on sugar cane waste gave more efficient decolorization of Blue 21 with decolorization percentage (83.5%). Also it was found that the decolorization percentage in case of free P. eryngii was (50.8%). The fungus has the ability to produce lignin-degrading enzymes as laccase, Mn peroxidase, peroxidase and catechol oxidase enzymes. Immobilized P. eryngii on sugar cane waste exhibited the ability to treat industrial textile effluent, 85 to 90% reductions of various nutrients including biological oxygen demand (BOD) and chemical oxygen demand COD were achieved and color removal reached to 96%. So, it was suggested that the immobilized P. eryngii might be applicable to textile effluent system. It was found that the reuse of the treated textile effluent with immobilized P. eryngii on sugar cane waste for irrigation of Basil plant and good result similar to that obtained by tap water.
Hybridization disrupts growth-defense strategies and reveals trade-offs masked in unadmixed populations of a perennial plant.

Organisms are constantly challenged by pathogens and pests which can drive the evolution of growth-defense strategies. Plant stomata are essential for gas-exchange during photosynthesis and conceptually lie at the intersection of the physiological demands of growth and exposure to foliar fungal. Generations of natural selection for locally adapted growth-defense strategies can eliminate variation between traits, potentially masking trade-offs and selection conﬂicts that may have existed in the past. Hybrid populations offer a unique opportunity to reset the clock on selection and to study potentially maladaptive trait variation before selection removes it. We study the interactions of growth, stomatal, ecopysiological, and disease resistance traits in Poplars ( Populus ) after infection by the leaf rust Melampsora medusae . Phenotypes were measured in a common garden and genotyped at 227K SNPs. We isolate the effects of hybridization on trait variance, discover correlations between stomatal, ecophysiology and disease resistance, examine trade-offs and selection conﬂicts, and explore the evolution of growth-defense strategies potentially mediated by selection for stomatal traits on the upper leaf surface. These results suggest an important role for stomata in determining growth-defense strategies in organisms susceptible to foliar pathogens, and reinforces the contribution of hybridization studies towards our understanding of trait evolution.