Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards Indoor Temporal-Variation Aware Shortest Path Query

The recent years have witnessed the growing popularity of indoor location-based services (LBS) in practice and research. Among others, indoor shortest path query (ISPQ) is of fundamental importance for indoor LBS. However, existing works on ISPQ ignore indoor temporal variations, e.g., the open and close times associated with entities like doors and rooms. In this paper, we define a new type of query called Indoor Temporal-variation aware Shortest Path Query (ITSPQ). It returns the valid shortest path based on the up-to-date indoor topology at the query time. A set of techniques is designed to answer ITSPQ efficiently. We design a graph structure (IT-Graph) that captures indoor temporal variations. To process ITSPQ using IT-Graph, we design two algorithms that check a door’s accessibility synchronously and asynchronously. Furthermore, we propose a novel index structure (IT-Index) that extends the state-of-the-art index significantly by storing dynamic door-to-door distances in a compact distance cube associated with tree nodes. When processing ITSPQ using IT-Index, we make use of the distance cube to avoid time-consuming indoor distance computation on-the-fly. We evaluate the proposed techniques using extensive experiments on synthetic and real data. The results show that our IT-Index based method is the most efficient for processing ITSPQ at a modest cost of index memory consumption.
Studies of Diamond-Shaped Injectors in a Supersonic Flow (Invited Presentation)

In this paper, we survey our results for sonic gaseous injection through diamond port injectors into supersonic freestreams. The overarching objective is to tailor the secondary flow structure to produced gasdynamic flame holding and provide enhanced stirring mechanisms. A brief review of our foundational Mach 5.0 numerical simulation is presented. This is followed by a description of our most recent reacting and nonreacting studies at Mach 2.0. The goals of the inert mixing studies were to (1) compare the flow structure around a diamond injector between two leading-edge injection angles (45 and 90 degrees) and (2) investigate the flow features with dual-port torch injection. The goal of the reacting studies, on the other hand, was to examine the reactivity in the lateral counter-rotating vortex pair (LCVP) under the high temperature test conditions. NO- and OH- planar laser-induced fluorescence (PLIF) diagnostics were used to accomplish these goals, and complementary 1-D and 3-D numerical simulations were performed. The plume penetration of the diamond port with 90-deg. leading-edge injection was found to be slightly higher than that with 45-deg. leading-edge injection. Furthermore, the NO-PLIF images captured the 3-D structure of the LCVP for the first time. OH consumption in the LCVP was clearly observed when ethylene was injected from the diamond port and the fuel-lean upstream torch was applied, but significant combustion and heat release were not attained. Unfortunately, we were unable to achieve, due to facility limitations, the necessary temperatures and pressures for flame holding.
A REVIEW ON HANDWRITTEN DEVNAGARI NUMERALS RECOGNITION USING SUPPORT VECTOR MACHINE

Handwriting has continued to persist as a mean of communication and recording information in day-to-day life even with the invention of new technologies. Natural handwriting is one of the easiest ways of information exchange between a human and a computer. Handwriting recognition has attracted many researchers across the world since many years. Recognition of online handwritten Devanagari numerals is a goal of many research efforts in the pattern recognition field The main goal of the work is the recognition of online hand written Devanagari numerals using support vector machine. In the data collection phase, co-ordinate points of the input handwritten numeral are collected as the numeral written; various algorithms for preprocessing are applied for normalizing, resampling and interpolating missing points, smoothing and slant correction. Two low-level features i.e. direction angle and curvature are extracted from the pre processed data. These features along with the x and y coordinates of the input handwritten character are stored in a . csv file and fed directly to the recognition phase.n Recognition is done using four kernel functions of SVM byn partitioning the data into different schemes. The recognition accuracies are obtained on different schemes of data using the four kernel functions of SVM for each scheme. n
A Grid Partition Method for Atmospheric Phase Compensation in GB-SAR

Time-series interferograms acquired on a deep pit with a Ground-Based Synthetic Aperture Radar (GB-SAR) system showed that the atmospheric phase (AP) could be complexly space variant due to rapid changes of the weather conditions and steep topography. Conventional compensation methods that simulate the AP with typical parametrical models are no longer applicable. Based on the theoretical path integral model of the AP, a grid partition (GP) method is proposed. By dividing one interferogram into a certain number of small grids, the refraction variation inside each grid is assumed to be a constant. A system of linear equations is first built based on sufficient permanent scatterers (PSs). Then, bounds and inequality constraints are set to limit the refraction variation of each grid. A constrained linear least-square problem is solved with two-step process to estimate and compensate the AP. To fully validate the feasibility of the GP method, simulated phase interferograms based on four conventional AP models and with the consideration of deformation areas and noise phase are first processed. Then, four experimental interferograms with different types of AP components are processed and made comparisons with the conventional parametrical methods. The quantitative comparisons of the simulated and experimental data sets both proved that the GP method can well reduce the AP errors.
Peer-to-Peer Mental Health Support: Validating Scores on the Mental Distress Response Scale With High School Students

This investigation tested the internal structure of scores on the Mental Distress Response Scale (MDRS), a peer-to-peer mental health support screening tool, with a national sample of 237 adolescents from 111 high schools in 30 states. Results revealed psychometric support for the scores on the MDRS and demographic differences in students’ responses. We discuss implications for how school counselors can use the MDRS to enhance peer-to-peer mental health support as part of a comprehensive school counseling program.
GRTr: Generative-Retrieval Transformers for Data-Efficient Dialogue Domain Adaptation

Domain adaptation has recently become a key problem in dialogue systems research. Deep learning, while being the preferred technique for modeling such systems, works best given massive training data. However, in real-world scenarios, such resources are rarely available for new domains, and the ability to train with a few dialogue examples can be considered essential. Pre-training on large data sources and adapting to the target data has become the standard method for few-shot problems within the deep learning framework. In this paper, we present <sc>grt</sc>r, a hybrid generative-retrieval model based on the large-scale general-purpose language model GPT[2] fine-tuned to the multi-domain <sc>m</sc>eta<sc>lwo</sc>z dataset. In addition to robust and diverse response generation provided by the GPT[2], our model is able to estimate generation confidence, and is equipped with retrieval logic as a fallback for the cases when the estimate is low. <sc>grt</sc>r is the winning entry at the fast domain adaptation task of DSTC-8 in human evaluation (<inline-formula><tex-math notation="LaTeX">$>$</tex-math></inline-formula>4% improvement over the 2nd place system). It also attains superior performance to a series of baselines on automated metrics on <sc>m</sc>eta<sc>lwo</sc>z and <sc>m</sc>ulti<sc>woz</sc>, a multi-domain dataset of goal-oriented dialogues. In this paper, we also conduct a study of <sc>grt</sc>r's performance in the setup of limited adaptation data, evaluating the model's overall response prediction performance on <sc>m</sc>eta<sc>lwo</sc>z and goal-oriented performance on <sc>m</sc>ulti<sc>woz</sc>.
Mixing and Segregation Behavior in a Spout-Fluid Bed: Effect of the Particle Density

The effect of the particle size on the mixing and segregation in a spout-fluid bed has been investigated (Zhang, Y.; Zhong, W. Q.; Jin, B. S.; Xiao, R. Mixing and segregation behavior in a spout-fluid bed: effect of particle size. Ind. Eng. Chem. Res.2012, 51, 14247–14257). This paper presents the effect of the particle density on the mixing and segregation behavior in a spout fluid. Four kinds of solid particles having the same size of 2.8 mm and different densities of 900, 1230, 1640, and 2540 kg/m3 were used. Three kinds of binary mixtures were obtained, indicated as PB–SP, PB–MB, and PB–GB. For each mixture, three different mass ratios were prepared so that the mixing and segregation processes were examined. Thus, nine binary mixtures were made by mixing the bed material and tracer in different mass ratios. The initial bed stayed in the state of well-mixed and complete segregation, respectively. A wide range of flow regimes were covered by changing the ratio of spouting-to-fluidizing gas flow. The mix.
Validation of Differentially Expressed Brain-Enriched microRNAs in the Plasma of Parkinson’s Disease Patients

Background There is a pressing need to identify and validate, minimally invasive, molecular biomarkers that will complement current practices and increase the diagnostic accuracy in Parkinson’s disease (PD). Brain-enriched miRNAs regulate all aspects of neuron development and function; importantly, they are secreted by neurons in amounts that can be readily detected in the plasma. Τhe aim of the present study was to validate a set of previously identified brain-enriched miRNAs with a diagnostic potential for idiopathic PD and recognize the molecular pathways affected by these deregulated miRNAs.Methods RT-qPCR was performed in the plasma of 92 healthy controls and 108 idiopathic PD subjects. Statistical and in silico analyses were used to validate deregulated miRNAs and pathways in PD, respectively.Results miR-22-3p, miR-124-3p, miR-136-3p, miR-154-5p and miR-323a-3p levels were found to be differentially expressed between healthy controls and PD patients. miR-330-5p, miR-433-3p and miR-495-3p levels were overall higher in male subjects. Most of these miRNAs are clustered at Chr14q32 displaying CREB1, CEBPB, and MAZ transcription factor binding sites. Gene Ontology (GO) annotation analysis of deregulated miRNA targets revealed that ‘Protein modification’, ‘Transcription factor activity’ and ‘Cell death’ terms were over-represented. Kyoto Encyclopedia of Genes and Genome (KEGG) analysis revealed that ‘Long-term depression’, ‘TGF-beta signaling’, and ‘FoxO signaling’ pathways were significantly affected.Conclusions We validated a panel of brain-enriched miRNAs that can be used along with other measures for the detection of PD, revealed molecular pathways targeted by these deregulated miRNAs, and identified upstream transcription factors that may be directly implicated in their regulation and thereafter PD pathogenesis.
Self-Propagation Graph Neural Network for Recommendation

In recommendation tasks, we model user preferences by learning node representations (i.e., user and item embeddings) based on the observed user-item interaction data, which is a bipartite graph. Graph Neural Networks (GNNs) are widely used to refine the representations by exploring the topology of the graph: embeddings of neighbors are propagated to each node to reconstruct its embeddings. However, the propagation strategy in existing GNNs is empirical and defective: (1) a substantial proportion of links are missed in the sparse observed graph, which causes ineffective and biased propagation; and (2) the propagation weights are determined by a coarse pre-defined rule, which only takes the degree of nodes into consideration. In this paper, we propose a dense and data-driven propagation mechanism for GNNs. Considering the graph we use to propagate embeddings in recommendation tasks is extremely sparse, we complement it and use the predicted graph as the new propagation tool. We learn the propagation matrix from the data, and propose a Self-propagation Graph Neural Network (SGNN). Since it is very space- and time-consuming to maintain a large and dense propagation matrix, we factorize it for storing and updating. In this paper, we propose three methods to complete the sparse graph and construct the propagation matrix: (1) we complete the graph based on a recommendation model; (2) we measure the node distance based on spectral clustering; (3) we predict missing links of the graph based on predictive embeddings. In SGNN, the embeddings can be propagated to not only the observed neighbors, but also the potential yet unobserved neighbors, and the propagation weights are learned based on the connection strength. Comprehensive experiments on three real-world datasets demonstrate the effectiveness and efficiency of our proposed model: SGNN outperforms recent state-of-the-art GNNs significantly. Codes are available on https://github.com/Wenhui-Yu/LCFN.
Effect of the Electromagnetic Field (EMF) Radiation on Transcriptomic Profile of Pig Myometrium during the Peri-Implantation Period—An In Vitro Study

The electromagnetic field (EMF) affects the physiological processes in mammals, but the molecular background of the observed alterations remains not well established. In this study was tested the effect of short duration (2 h) of the EMF treatment (50 Hz, 8 mT) on global transcriptomic alterations in the myometrium of pigs during the peri-implantation period using next-generation sequencing. As a result, the EMF treatment affected the expression of 215 transcript active regions (TARs), and among them, the assigned gene protein-coding biotype possessed 90 ones (differentially expressed genes, DEGs), categorized mostly to gene ontology terms connected with defense and immune responses, and secretion and export. Evaluated DEGs enrich the KEGG TNF signaling pathway, and regulation of IFNA signaling and interferon-alpha/beta signaling REACTOME pathways. There were evaluated 12 differentially expressed long non-coding RNAs (DE-lnc-RNAs) and 182 predicted single nucleotide variants (SNVs) substitutions within RNA editing sites. In conclusion, the EMF treatment in the myometrium collected during the peri-implantation period affects the expression of genes involved in defense and immune responses. The study also gives new insight into the mechanisms of the EMF action in the regulation of the transcriptomic profile through lnc-RNAs and SNVs.
Temperature-Controlled Reversible Localized Surface Plasmon Resonance Response of Polymer-Functionalized Gold Nanoprisms in the Solid State

Solid-state temperature responsive localized surface plasmon resonance (LSPR)-based nanosensors were constructed by functionalizing the glass substrate-attached gold nanoprisms with the thermoresponsive polymer poly(allylamine hydrochloride)-co-poly(N-isopropylacrylamide). The robustness of the sensor was enhanced by chemically attaching polymer to the nanoprism surface through an amide coupling reaction versus simple physisorption of polymer onto nanoprism. The highest sensitivity of this kind of solid sensing platform was obtained by employing chemically synthesized gold nanoprisms for fabrication. The surface ligand chemistry significantly influenced the swelling and shrinking transition of the polymer during the temperature variation, which resulted in the alteration of the local dielectric environment of the nanoprisms, modulation of their LSPR properties, and enhancement of sensing efficiency of the nanosensors. Importantly, we have shown for the first time that the dimension of the nanostructure pl.
Lyman‐α spectroscopy of magnetically trapped atomic hydrogen

Recently it became possible to study magnetically trapped atomic hydrogen gas by Lyman‐α spectroscopy. We discuss the typical conditions at which the gas is trapped and how this reflects itself in the observed spectra. We given a description of the experimental apparatus. The use of the system is illustrated by a spectroscopic study of evaporative cooling.
Formation of Archipelago Structures during Thermal Cracking Implicates a Chemical Mechanism for the Formation of Petroleum Asphaltenes

A series of model compounds for the large components in petroleum, with molecular weights from 534 to 763 g/mol, was thermally cracked in the liquid phase at 365–420 °C to simulate catagenesis over a very short time scale and reveals the selectivity and nature of the addition products. The pyrolysis of three types of compounds was investigated: alkyl pyrene, alkyl-bridged pyrene with phenyl or pyridine as a central ring group, and a substituted cholestane–benzoquinoline compound. Analysis of the products of reaction of each compound by mass spectrometry, high-pressure liquid chromatography, and gas chromatography demonstrated that a significant fraction of the products, ranging from 26 to 62 wt %, was addition products with molecular weights higher than that of the starting compounds. Nuclear magnetic resonance (NMR) spectroscopic analysis showed that the pyrene compounds undergo addition through the attached alkyl groups, giving rise to bridged archipelago products. These results imply that the same geoc.
Effective use of Spearman ’ s and Kendall ’ s correlation coefficients 1 for association between continuously measured traits 2 3

Effective use of Spearman’s and Kendall’s correlation coefficients 1 for association between continuously measured traits 2 3 Marie-Therese Puth, Markus Neuhäuser, Graeme D Ruxton 4 5 1. Fachbereich Mathematik und Technik, RheinAhrCampus, Koblenz University of 6 Applied Sciences, Joseph-Rovan-Allee 2, 53424 Remagen, Germany 7 2. School of Biology, University of St Andrews, St Andrews, Fife KY16 9TH, 8 UK 9 Author for correspondence : GDR email: gr41@st-andrews.ac. uk; tel. +44 1
Tip-Enhanced Raman Spectroscopy of Combed Double-Stranded DNA Bundles

Double-stranded (ds) DNA of a λ-phage virus are combed on octadecyltrichlorosilane (OTS)-modified borosilicate glass substrates and investigated by means of tip-enhanced Raman spectroscopy (TERS) using tips coated with an Ag/Au bilayer. Owing to an enhancement factor higher than 6 × 102 and a lateral spatial resolution better than 9 nm (which is below the size of the tip apex radius), cross-sections of nanowire-shaped thin DNA bundles can be spatially resolved. TER spectra reveal vibrational modes typical of DNA nucleobases and backbone, as confirmed by confocal Raman measurements carried out on dense stacks of DNA strands. While the TER signature of nucleobases is congruent with observations in single-stranded (ss) DNA, additional modes tied to the DNA backbone can be discerned in ds DNA. TERS enables ss and ds DNA samples to be distinguished from each other and hence can be exploited for the detection of DNA hybridization. Moreover, no TER contribution of the OTS layer appears, suggesting that functiona.
Physicochemical Properties of Sorghum Biscuits Enriched with Defatted Soy Flour

Aims: To evaluate the physicochemical properties of sorghum biscuits enriched with defatted soy flour, at specified ratios. Study Design: Two way ANOVA Place and Duration of Study: Department of Food Science and Technology, Federal University of Technology, Akure, Nigeria, from January to September, 2012. Methodology: The sorghum whole grain used was milled into flour (S) to pass a 500 μm sieve. The defatted soy flour (D) was supplied by Jof – Ideal Industry, Owo, Nigeria. Sorghum flour was blended with defatted soy flour (SD) at the following ratio – SD1 (70.00:30.00), SD2 (77.50:22.50), SD3 (85.00:15.00), SD4 (87.50:12.50), SD5 (90.00:10.00), SD6 (95.00:5.00), and SD7 (92.50:7.50) and blends were used for biscuits production. The following analysis were carried out on the biscuit samples namely proximate composition, mineral composition, physical characteristics and colour. Results: Significant differences (P≤0.05) were observed in the proximate, energy and mineral compositions of the biscuits. The protein content ranged from 7.3 ± 0.2 to 11.2± 0.2%; crude fat ranged from 12.0± 0.2 to 18.1± 0.1%; crude fiber content ranged from 2.0 ± 0.0 to 3.8 ± 0.0% while the carbohydrate content ranged from 58.2± 0.2 to 70.6 ± 0.1%. Results obtained compare favourably with the recommended dietary intake for each nutrient. The calculated energy value ranged from 1825.8 to 2026.1 Kj/100g. The Na:K ranged from 1.0 to 1.5 while the Zn:Cu ranged from 1.2 to 3.0. The diameter of the Research Article British Journal of Applied Science & Technology, 3(4): 1246-1256, 2013 1247 biscuits ranged from 4.50 ± 0.14 to 5.80 ± 0.14cm; Weight ranged from 8.27 ± 0.03 to 8.90 ± 0.14g; thickness ranged from 0.62 ± 0.01 to 0.84 ± 0.06cm. Breaking strength ranged from 1.4 to 2.7N. No significant differences were observed in the L*, a* and b* values of the biscuits. Conclusion: Sorghum biscuits enriched with defatted soy flour met recommended dietary intake for each nutrient. Hence, formulated biscuit could therefore be a useful tool in reducing protein-energy malnutrition.
Biodegradation Capability and Enzymatic Variation of Potentially Hazardous Polycyclic Aromatic Hydrocarbons—Anthracene and Pyrene by Anabaena fertilissima

This study encompasses the biodegradation capacity of Anabaena fertilissima to model PAH (Polycyclic Aromatic Hydrocarbon) compounds namely Anthracene (ANT) and Pyrene (PYR) at different LC50 concentrations viz., 5.0 mg/L and 3.0 mg/L, respectively, on growth in terms of Chlorophyll-a and protein. Depletion in chlorophyll-a and protein content was registered with rise in PAHs concentration while the inhibition of nitrogen fixing enzymes such as nitrate reductase and glutamine synthetase activity was also concentration dependent and showed more sensitivity for high molecular weight aromatic compound PYR as compared to ANT. GC/MS analysis explained the degradation of ANT by 46% and PYR by 33%, at 5.0 mg/L and 3.0 mg/L, respectively. Moreover, the common degraded product for ANT was 2, 4-Dimethyl-1-heptene and for PYR it was 2, 3, 4-Trimethylhexane. Results indicate that PYR was more stable and recalcitrant compared to ANT. This study suggests that Anabaena fertilissima could be used for bioremediation of ANT and PYR pollution in surface waters and terrestrial environments.