Miracle-dz/UniFAR-FTUs huggingface dataset:
The Association Between Lip Print , Gender , Ethnicity and Personality Among Young Adults in University Setting : A Cross-Sectional Study

Significant differences in lip prints were found in geographically distinct populations, and also in different gender and ethnicities. However, the data on the types of personality and lip prints seen in young adults are sparse. Therefore, this study was conducted to investigate the types of personality and the most common lip print type among young adults, and the association between gender, ethnicity and lip prints with personality along with the study of relationship between gender and ethnicity with lip prints among young adults. This cross-sectional study was carried out in a private medical college in Malaysia from April 2018 to May 2018. Lip print patterns were studied using the Suzuki and Tsuchihashi Classification whereas the socio-demographic and personality information were collected using a International Personality Item Pool (IPIP) Big-Five factor marker. The data were analyzed using the Chi-square test, unpaired T-test and ANOVA. The most common type of lip print seen in undergraduate students are Type I (40.70%) while the personality with the highest mean score is Agreeableness 25.33 (SD 5.06). There is significant association between gender and the personality domain Neuroticism (P value, 0.006), with mean score for male is 20.87 (SD 6.30) and female 17.86 (SD 7.00) respectively. There is association between ethnicity and Openness to experiences (P value, 0.003), in which the highest mean score is other ethnicities which is 26.08 (SD 6.24) whereas lowest mean score is Malay with 21.33 (SD 4.89). There is significant association between lip print and the personality domain Openness to experience (P value, 0.014), where lip print Type II shows the highest mean of 24.32 (SD 5.27). Studies on lip print patterns and personalities were done but correlative studies between lip print, gender, ethnicity and personality are limited. In this study, it is concluded that there is no association between gender, ethnicity and lip print. The most common lip print is Type I whereas the most common personality is Agreeableness. Males are more associated with the personality domain Neuroticism. Besides, there is significant association between Type II lip print and Openness to experiences.
AN ALGORITHM FOR MINING ASSOCIATION RULE IN SPATIO-TEMPORAL DATA

Spatio-temporal data mining is an emerging area with a broad variety of application, such as climate analysis and health monitoring applications. One class of spatio-temporal pattern is spatiotemporal association rule. Although have been developed and widely applied in text, spatial and temporal mining, there is little literature on association rule mining algorithm in spatiotemporal data. In this paper, we will propose the design of a new algorithm to find association pattern in spatio-temporal data. This algorithm extends existing methods (FP-Tree structure and FP-Growth algorithm) to deal with spatial, nonspatial and temporal data. In this paper, we will first give the formal notations and definitions of spatiotemporal association rules (i.e. Spatio-temporal item/itemset, spatio-temporal basket, and spatiotemporal association rule). Then we will describe the basic idea behind the proposed methods and elaborate the new algorithms. We then show that our algorithm is scalable and efficient to solve the problems. Finally, we conclude with a summary of our finding and contribution.
cross-correlateTop Mic Bottom Mic Noise Removal Echo Peak Generation Echo Candidates Generation Frequency Modulation Window Reshaping

The lack of digital floor plans is a huge obstacle to pervasive indoor location based services (LBS). Recent floor plan construction work crowdsources mobile sensing data from smartphone users for scalability. However, they incur long time (e.g., weeks or months) and tremendous efforts in data collection, and many rely on images thus suffering technical and privacy limitations. In this paper, we propose BatMapper , which explores a previously untapped sensing modality – acoustics – for fast, fine grained and low cost floor plan construction. We design sound signals suitable for heterogeneous microphones on commodity smartphones, and acoustic signal processing techniques to produce accurate distance measurements to nearby objects. We further develop robust probabilistic echo-object association, recursive outlier removal and probabilistic resampling algorithms to identify the correspondence between distances and objects, thus the geometry of corridors and rooms. We compensate minute hand sway movements to identify small surface recessions, thus detecting doors automatically. Experiments in real buildings show BatMapper achieves 1−2cm distance accuracy in ranges up around 4m; a 2 ∼ 3 minute walk generates fine grained corridor shapes, detects doors at 92% precision and 1 ∼ 2m location error at 90-percentile; and tens of seconds of measurement gestures produce room geometry with errors < 0.3m at 80-percentile, at 1− 2 orders of magnitude less data amounts and user efforts.
Pneumatic dilatation of achalasia in a patient with sigmoid esophagus Sigmoid özofaguslu bir olguda akalazya balon dilatasyonu

Achalasia is a primary motility disorder of the esophagus characterized by incomplete relaxation of the lower esophageal sphincter (LES) and aperistalsis of the esophagus. Pneumatic dilatation and surgical myotomy are effective methods for treatment (1). Pneumatic dilatation may be difficult via standard methods in patients complicated with sigmoid esophagus. Pneumatic dilatation of achalasia in a patient with sigmoid esophagus
In vitro and in vivo expression studies of yopE from Yersinia enterocolitica using the gfp reporter gene

The Yersinia outer protein YopE belongs to the translocated effector proteins of pathogenic yersiniae. We constructed various truncated yopE genes fused to gfp (encoding the green fluorescent protein) to study yopE gene expression and YopE–GFP translocation of Y. enterocolitica in cell culture and mouse infection models. The hybrid gene fusions were co‐expressed in Y. enterocolitica (i) on a low‐copy plasmid in the presence of the virulence plasmid pYV08 (in trans configuration) and (ii) after co‐integration by homologous recombination of a yopE–gfp‐carrying suicide plasmid into pYV08 (co‐integrate configuration). After 30 min of infection of HEp‐2 cell monolayers, extracellularly located yersiniae began to emit green fluorescence after excitation. In contrast, internalized bacteria were weakly fluorescent. Translocation of YopE–GFP into HEp‐2 cells by attached yersiniae was visualized by optical sectioning of fluorescent HEp‐2 cells using confocal laser scanning microscopy and was confirmed by immunoprecipitation of cytosolic YopE–GFP from selectively solubilized HEp‐2 cells. The co‐translocation of other Yops was not significantly impaired by YopE–GFP as shown by YopH/YopE‐mediated suppression of the oxidative burst of infected neutrophils. The time course of yopE–gfp expression (in trans as well as in the co‐integrate configuration) in the HEp‐2 cell infection model as well as after in vitro induction was studied using a highly sensitive CCD camera and a flow cytometer. Similar results were obtained with a YopE–LUC (firefly luciferase) protein fusion as reporter. After intraperitoneal, intravenous and orogastrical infection of Balb/c mice with the recombinant yersiniae strains, green fluorescing bacteria could be visualized microscopically in the peritoneum, the spleen, the liver and in the Peyer's patches. However, only weakly fluorescent yersiniae were observed in the intestinal lumen. These results were quantified by flow cytometric measurements. The application of gfp as a reporter gene turned out to be promising for the study of protein translocation by protein type III secretion systems and differential virulence gene expression in vivo.
Catalogue of focal mechanisms of Moroccan earthquakes for the period 1959-2007 ; analysis of parameters

We present a brief analysis of the focal mechanisms catalogue of Morocco. Most solutions (129 from 167) were determined for the Central Rif and Alboran earthquakes. The P-axes are mostly sub-horizontal and show mainly a NNW-SSE trend, so as the T-axes but with an ENE-WSW trend. Both axes distribution is in conformity with the general state of stress in Morocco. However, several focal mechanisms determined by different institutions appear to be different or even contradictory and therefore, gives rise to a serious troubles for structural geology studies.
Effect of Variable Properties on Heat and Mass Transfer Flow of Nanofluid over a Vertical Cone Saturated by Porous Medium under Enhanced Boundary Conditions

We have investigated the impact of variable viscosity and thermal conductivity on MHD boundary layer flow, heat and mass transfer of nanofluid over a vertical cone saturated by porous medium with thermal radiation and chemical reaction. Further, the viscosity and thermal conductivity are considered as the function of nanoparticle volume fraction (φ). By using suitable similarity variables the governing equations represents the velocity, temperature and volume fraction of nanoparticles are transformed into the set of ordinary differential equations. These equations together with associated boundary conditions are solved numerically by using an optimized, extensively validated, variational Finite element method. Effects of different parameters such as variable viscosity, Buoyancy, magnetic, radiation, variable thermal conductivity, thermophoresis, Brownian motion, Lewis number and chemical reaction parameters on velocity, temperature and concentration profiles are examined and the results are presented in graphical from. Furthermore, the skinfriction coefficient, Nusselt number and Sherwood number are also investigated and are shown in tabular form.
AN ABSTRACT OF THE THESIS OF Fuaen Li for the degree of Master of Science in Food Science and Technology presented on Feburarv 25, 1997. Title: Molecular Cloning and Sequence Analysis of Cystatin from Rainbow Trout (Oncorhvnchus

approved: _ . —^ ^ ^ Haejung An A partial cystatin cDNA from rainbow trout was generated by reverse transcription polymerase chain reaction with two degenerate primers. The partial cystatin PCR product was 168 bp and used to screen trout liver Xgt 11 cDNA library. Four postive clones were isolated and designated as cstl, cst2, cst3 and cst4. Only cst2 contained the full-length cystatin cDNA which was 674 bp and included 5' untranslated region and the polyadenylation signal sequence AATAAA in the 3' region. Translation of the cDNA contains 132 amino acid residues. Comparison of the amino acid sequence with those of family II cystatin indicated that the 21 amino acids at N-terminal end is a signal peptide that leads to cystatin secretion, and the 111 amino acids are mature cystatin. Four cysteine residues in the cystatin may form two disulfide bonds for the secondary structure. Cst2 was subcloned into pGEM-3z for Northern and Sorthern blot experiments. Northern blot indicated that trout cystatin mRNA is about 750 bp. Cystatin is expressed in all tissues examined but at various levels. This difference may reflect the regulation of cysteine proteinase activities. Southern blot of trout genomic DNA showed that the copy number of the trout cystatin gene is probably one per haploid genome.
Do you really measure the same? PRESENTATION MODE OF PERSONALITY QUESTIONNAIRE ITEMS ONLINE AND MEASUREMENT INVARIANCE

The online assessment of personality questionnaires is becoming more and more prevalent in psychological research. This implies questionnaires can be presented in different ways. The aim of this master thesis is to investigate the impact of the way of presentation of online questionnaires on measurement properties. To reach this objective, existing data of 3394 subjects who completed the Achievement Motives Scale (Nygård & Gjesme, 1973) is examined. The presentation of the Achievement Motives Scale differed in terms of (a) a single item per screen or multiple items per screen and (b) random order or fixed order of the items. More specific, three levels of measurement invariance are examined, namely configural invariance, metric invariance and scalar invariance. Equal factor structure across the different groups, equal factor loadings and equal factor intercepts were checked. Multigroup confirmatory factor analysis (MGCFA) is used since this is the instrument par excellence to investigate measurement invariance. The results of the MGCFA reveal measurement invariance (on all three levels) across the single item per screen and multiple items per screen conditions, as well as across the random order of the items and the fixed order conditions. This implies the same is measured, irrespective of the presentation format.
A novel cubic-phase linear chirp for time delay and Doppler stretch estimation

A novel technique for estimation of time delay in the presence of Doppler scaling that takes advantage of a dual cubical phase chirp is proposed and investigated in this paper. Firstly, the proposed algorithm transforms the dual cubical phase chirp signal into the linear frequency modulated (LFM) chirp, then Doppler scale is estimated using the optimum Fractional Fourier transform order and time delay is estimated based on the delay property of the fractional Fourier transform (FrFT). At last, simulations demonstrated the feasibility of such a new approach and its performance.
SENSITIVITY OF OPTIMAL CONFORMING AIRFOILS TO EXTERIOR SHAPE

Interest in the design and development of unmanned aerial vehicles (UAVs) has increased dramatically in the last decade. This research is part of a development effort that involves the design of a buckle-wing UAV that “morphs” in a way which facilitates variations in wing loading, aspect ratio and wing section shapes. The buckle-wing consists of two highly elastic beam-like lifting surfaces joined at the outboard wing tips in either a pinned or clamped configuration. The Buckle-Wing UAV is capable of morphing between a separated wing configuration designed for maneuverability, to a single fixed wing configuration designed for long range/high endurance. This morphing concept leads to extra design challenges in the fact that one airfoil, which must have high range/endurance capabilities, must also separate in such a way that the two airfoils give good maneuverability characteristics. This problem is a multiobjective multilevel optimization process. Because the optimization is multilevel the gradients of the suboptimization are needed. Normally, these gradients are computed via finite differencing. However, this adds to the computational cost tremendously. This paper describes and applies a method to find postoptimal solution sensitivity to problem parameters or the gradients at a much lower cost. This method is found to save 75% of the computing time over using the finite differencing scheme when applied to this problem. ∗Graduate Research Assistant, Student Member AIAA Nomenclature α Angle of attack ∆ Represents a perturbation in a variable λi The Lagrange multiplier of the ith constraint cd Drag coefficient cl Lift coefficient cp Pressure coefficient F Objective Function g j The jth constraint l Lower bound Pi The ith problem paramter T Transpose u Upper bound wn The nth design weight x Design variable vector xi The ith design variable ∗ Optimum Quantity
Cloning and expression of the PHA synthase gene from a locally isolated Chromobacterium sp . USM 2

Chromobacterium sp. USM2, a locally isolated bacterium was found to synthesize poly(3-hydroxybutyrate-co-3hydroxyvalerate), P(3HB-co-3HV) copolymer with high 3HV monomer composition. The PHA synthase gene was cloned and expressed in Cupriavidus necator PHB ̄4 to investigate the possibilities of incorporating other monomer. The recombinant successfully incorporated 3-hydroxyhexanoate (3HHx) monomer when fed with crude palm kernel oil (CPKO) as the sole carbon source. Approximately 63 ± 2 wt% of P(3HB-co-3HHx) copolymer with 4 mol% of 3HHx was synthesized from 5 g/L of oil after 48 h of cultivation. In addition, P(3HB-co-3HV-co-3HHx) terpolymer with 9 mol% 3HV and 4 mol% 3HHx could be synthesized with a mixture of CPKO and sodium valerate. The presence of 3HV and 3HHx monomers in the copolymer and terpolymer was further confirmed with H-NMR analysis. This locally isolated PHA synthase has demonstrated its ability to synthesize P(3HB-co-3HHx) copolymer from a readily available and renewable carbon source; CPKO, without the addition of 3HHx precursors.
Robustness-Oriented Meter Placement for Distribution System State Estimation in Presence of Network Parameter Uncertainty

Distribution systems require ad hoc estimators, distribution system state estimation (DSSE) techniques, to acquire knowledge about the system status. An incorrect evaluation of the accuracy of the DSSE creates decision risks in network management. The possible variations in the network parameter values and the decays of the metrological characteristics of the measurement system elements are uncertainty sources very often not considered. Considering these possible lacks of accuracy, this paper focuses on the robustness of distributed measurement systems aimed to obtain accurate DSSE results. The problem of the proper assessment of the accuracy of the DSSE results obtained through a weighted least squares (WLS) approach is faced. A method capable of including different uncertainty sources in the uncertainty estimation of the WLS approach is presented. Furthermore, this paper proposes an optimal meter placement algorithm robust with respect to possible malfunctions in measurement system components. The results obtained on a portion of an Italian distribution network, along with their accuracy, are presented and discussed.
8 F eb 2 01 8 Deep Learning with Apache SystemML

Deep Learning (DL) is a subfield of Machine Learning (ML) that focuses on learning hierarchical representations of data with multiple levels of abstraction using neural networks [15]. Recent advances in deep learning are made possible due to the availability of large amounts of labeled data, use of GPGPU compute, and application of new techniques (such as ReLU, batch normalization [12], dropout [17], residual block [10], etc.) that help deal with issues in training deep networks. In spite of the need to train on large datasets, there is a disconnect between the deep learning community and the big data community. To scale to a multi-node cluster, most deep learning frameworks (such as Caffe2, TensorFlow [2] and IBM’s PowerAI DDL [6]) use custom communication libraries based on either MPI (such as IBM SpectrumMPI, Facebook’s Gloo) or a customnetworking protocol (such as Google RPC). Unlike popular big data frameworks (such as Apache Hadoop [9] and Apache Spark [18]), these communication libraries do not provide features such as resource sharing, multi-tenancy and fault-tolerance out of the box, making them difficult to deploy on shared production clusters. is leads to ineffective use of resources in an organization, oen requiring two separate infrastructures (i.e. scale-up versus scale-out). is problem is even more severe when the data generated as part of the big data pipeline (ML, data preprocessing, data cleaning) needs to be consumed by the deep learning pipeline or vice versa, as the workload characteristics of a typical machine learning algorithm (i.e. memory-bound, BLAS level-2, sparse/ultrasparse inputs (or feature matrix), etc.) are oen different than that of a typical deep learning algorithm (i.e. compute-bound, BLAS level-3, dense inputs, etc.). Apache SystemML [4] aims to bridge that gap by seamlessly integrating with underlying big data frameworks and by providing a unified framework for implementing machine learning and deep learning algorithms. In Apache SystemML, the ML algorithms are implemented using a high-level R-like language called DML (short for Declarative Machine Learning). DML improves the productivity of data scientists by enabling them to implement their ML algorithm with precise semantics as well as abstract data types and operations, independent of the underlying data representation or cluster characteristics. For the given DML script, SystemML’s cost-based compiler automatically generates hybrid runtime execution plans that are composed of single-node and distributed operations depending on data and cluster characteristics such as data size, data sparsity, cluster size and memory configurations, while exploiting the capabilities of underlying data-parallel frameworks such asMapReduce or Spark. is allows for algorithm reusability across data-parallel frameworks, and simplified deployment for varying data characteristics and runtime environments, ranging from low-latency scoring to large-scale training. 2 DEEP LEARNING APIS
Proposal of ID Composition for Fast Location Lookup in Overlay Nodes

This paper proposes an ID composition for fast location lookup in overlay nodes. In the paper, we assume a location-based routing system constructed on an overlay network. While the overlay approach facilitates network deployment, recent DHT (Distributed Hash Table) technologies allow us to construct robust and high-scalable distributed systems. The point of our proposal is how to map physical location with ID space in DHT. The proposed ID composition realizes fast location lookup only by bit comparisons of IDs. Performance evaluations show that the processing time of location lookup is less than 5 microseconds, even when the number of registered locations is 1 million. The ID composition also allows unicast and multicast transport operations to support both service discovery and information delivery. In addition, this paper discusses how to effectively conduct information delivery within a circular area. Two rules, such as the 4-packet rule and rectangle rule, reduce communication traffic between overlay nodes and receivers to be one third of the simplest method.
High Electric Field Technology in Post Harvest Drying

The diversity of drying processes and equipment used in agricultural product processing reflects difficulty of handling and processing solid materials and the special requirements for various products. Undesirable product deteriorations in addition to economics of investment and operation costs involved in thermal processing have initiated the quest for alternative methods. Several studies on improvement of drying processes have been published recently. Research has identified application of high electric fields in drying as one such promising technology. The application of high electric fields as a non-thermal drying process is reviewed within this paper. In the reviewed literature are found a range of researches that utilize electric fields and their pulses to facilitate water removal from agricultural products. The merits of reduced energy consumption, quality sustenance particularly of heat sensitive products, augmentative effect on convective mass transfer during the drying of agricultural product and the synergism accorded by electrohydrodynamic (EHD) as a pretreatment measure in osmotic dehydration are herein described. Greater efforts perhaps need to be made to develop standard dryers based on this technology at industrial level. Scale up and transfer of laboratoryand pilot-scale experiments to prove industrial applicability and educating the diverse users of agricultural product drying equipment as to the potential benefits of this technique are necessary future directions in realizing the benefits associated with high electric field drying technology. Realizing industrial application of the non-thermal high electric field technology in drying is a priority due to the overwhelming worldwide concern over global warming attributed in large measure to greenhouse gases produced by the combustion of fossil fuels. _____________________________________________________________________________________________________________