Miracle-dz/UniFAR-FTUs huggingface dataset:
The first Facial Landmark Tracking in-the-Wild Challenge: benchmark and results. In: 2015 IEEE International Conference on Computer Vision, 7-13 Dec 2015,

Detection and tracking of faces in image sequences is among the most well studied problems in the intersection of statistical machine learning and computer vision. Often, tracking and detection methodologies use a rigid representation to describe the facial region 1 , hence they can neither capture nor exploit the non-rigid facial deformations, which are crucial for countless of applications (e.g., facial expression analysis, facial motion capture, high-performance face recognition etc.). Usually, the non-rigid deformations are captured by locating and tracking the position of a set of ﬁducial facial landmarks (e.g., eyes, nose, mouth etc.). Recently, we witnessed a burst of research in automatic facial landmark localisation in static imagery. This is partly attributed to the availability of large amount of annotated data, many of which have been provided by the ﬁrst facial landmark localisation challenge (also known as 300-W challenge). Even though now well established benchmarks exist for facial landmark localisation in static imagery, to the best of our knowledge, there is no established benchmark for assessing the performance of facial landmark tracking methodologies, containing an adequate number of annotated face videos. In conjunction with ICCV’2015 we run the ﬁrst competition/challenge on facial landmark tracking in long-term videos. In this paper, we present the ﬁrst benchmark for long-term facial landmark tracking, containing currently over 110 annotated videos, and we summarise the results of the competition.
PREPRINT SUBMITTED FOR PEER REVIEW. COPYRIGHT OWNED BY LOA VZV AND THE AUTHORS- ALL RIGHTS RESERVED

1 Derivation of an Occupational Exposure Limit for Benzene Using 1 Epidemiological Study Quality Assessment Tools 2 A Robert Schnatter, Martijn Rooseboom, Neslihan Aygun Kocabas, Colin M. North, 3 Abigail Dalzell, Johannes Twisk, Frank Faulhammer, Erik Rushton, Peter Boogaard, 4 Viktorija Ostapenkaite, Stephen D Williams *ⴕ 5 a EpiSolutions LLC, Melbourne, FL, USA 6 b Shell International B.V. The Hague, The Netherlands 7 c SABIC B,V. Sittard, The Netherlands 8 d ExxonMobil Biomedical Sciences, Inc, Annandale, New Jersey, USA 9 e Penman Consulting Limited, Wantage, UK 10 f Dow Chemical International Pvt. Ltd, Terneuzen, The Netherlands 11 g BASF SE, Ludwigshafen, Germany 12 h Basell Service Company B.V. , Rotterdam, The Netherlands 13 * These authors contributed equally. 14 1 Current address:Total Refining and Chemicals, Feluy, Belgium. 15 2 Now retired. 16 ⴕCorresponding Author at: Penman Consulting Limited Aspect House, Waylands Avenue, 17 Wantage, Oxon, UK, OX12 9FF. Email benzeneoel@penmanconsulting.com 18
A Haploid Wright-Fisher Mutation Model with Three Alleles

Mainstream population genetics uses diffusion models with approximative solutions rather than encompassing the exact stochastic process. This practice was necessary due to practical computing limitations for large populations. The present paper develops the exact Markov chain algebra (MCA) for a discrete haploid tri-allelic Wright-Fisher model (TA-WFM) with a full mutation matrix to address this challenge. Nonzero mutations between all three alleles give a tri-allelic model irreducible to previous bi-allelic models. The gamete frequencies for asymptotic equilibrium are calculated analytically. The exact time-dependent Markov model is evaluated numerically and presented concisely in terms of diffusion variables. The convergence with increasing population size to a diffusion limit is demonstrated for the population composition distribution. There will never be exact (irreversible) extinction when there are nonzero mutation rates into each allele. Moreover, there will never be an exact (irreversible) fixation when there are nonzero mutation rates out from each allele. From our general haploid triallelic mutation model, we only present results where there is no exact extinction and no exact fixation. We present some computations for the Markov process in full detail, exposing the behavior near the boundaries for the compositional domains, which are non-singular boundaries according to diffusion theory.
Molecular Analysis of the T-cell Acute Lymphoblastic Leukemia-Associated t ( 1 ; 7 ) ( p 34 ; q 34 ) That Fuses LCK and TCRB

Previously we had characterized the t(1;7)(p34;q34) translocation from HSB-2. This translocation fused the p T-cell receptor gene (TCRB) constant region and transcriptional enhancer with the type I transcription unit of the LCK gene on the derivative 1 [der(l)] chromosome. The type II promoter was translocated to the der(7) chromosome. Regarding the mechanism of the t(1;7) in HSB-2, we identified an alternating purine-pyrimidine tract (G-T),, at the lp34/LCK breakpoint. Additionally, sequence analysis of both breakpoint junctions provided data that implicate the V(D)J recombinase in formation of the t(1;7). A heptamer-nonamer recognition sequence with a 12-bp spacer was found in the immediate vicinity of the lp34/LCK breakpoint and, thus, chromosomal breakage at lp34 may be explained as resulting from recombinase activity. Because phosphorylation
Nephroprotection Regimen to Combat the Global Challenge of ESRD (End Stage Renal Disease) and RRT (Renal Replacement Therapy)

An impairment in kidney function leads to decreased glomerular filtration rate (GFR) and subsequently to renal failure, where retention of metabolic by-products occurs as a consequence of deteriorating renal functions, which requires medical intervention. But the major problem with kidney diseases is their progression to chronic stage (CKD) and end stage renal disease (ESRD), which sooner or later warrants renal replacement therapy (RRT). The recent advances in areas of medical science have revolutionized the treatment of renal failure by introducing haemodialysis and renal transplantation. These procedures are inarguably very costly and out of reach of common man. Majority of patients of kidney diseases in poor countries where such facilities are scarcely available die because of uremia [6].
BUDGETARY CONTROL IN COMMERCIAL BANKS: A STUDY OF SELECTED BANKS IN NIGERIA.

A DISSERTATION SUBMITTED TO THE POST GRADUATE SCHOOL, AHMADU BELLO UNIVERSITY, ZARIA, NIGERIA IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE AWARD OF THE DEGREE OF MASTER OF SCIENCE (ACCOUNTING & FINANCE).
Software Defect Prediction System using Machine Learning based Algorithms

Measuring the performance, reliability or quality of a software simply describes the sequence of actions taken detecting bugs in a software product. The Bugs found during the development of software has made researchers develop different methods of bug prediction models. However, predicting the bugs in a concurrent software product reduces development time and cost. In this paper, experiments were conducted on public available bug prediction dataset which is a repository for most open source software. The Genetic algorithm was used to extract relevant features from the acquired datasets to eliminate the possibility of over-fitting. The extracted features are classified to defective or non-defective using random forest, decision tree and artificial neural network classification technique. Furthermore, the techniques were evaluated using accuracy, precision, recall and f-score. In completion of the conducted experiments, the random forest performs best among the algorithms in terms of accuracy, precision, and f-score with average score of 83.40%, 53.18%, and 52.04% respectively. Also, the results showed that neural network performs best in terms of recall with average score of 60% among the algorithms. Hence, the system helped software developers when developing a good quality software in order to check if the software system has a little or no defects before delivery to customers.
Tomato Fruit Pericarp

The tomato fruit consists of a thick, fleshy pericarp composed predominantly of highly vacuolated parenchymatous cells, which surrounds the seeds. During ripening, the activation of gene expression results in dramatic biochemical and physiological changes in the pericarp. The polygalacturonase (PG) gene, unlike many fruit ripening-induced genes, is not activated by the increase in ethylene hormone concentration associated with the onset of ripening. To investigate ethylene concentration-independent gene transcription in ripe tomato fruit, we analyzed the expression of chimeric PG pmmoterB-glucuronidase (GUS) reporter gene fusions in transgenic tomato plants. We determined that a 1.4-kb PG promoter directs ripening-regulated transcription in outer pericarp but not in inner pericarp cells, with a sharp boundary of PG promoter activity located midway through the pericarp. Promoter deletion analysis indicated that a minimum of three promoter regions influence the spatial regulation of PG transcription. A positive regulatory region from -231 to -134 promotes gene transcription in the outer pericarp of ripe fruit. A second positive regulatory region from -806 to -443 extends gene activity to the inner pericarp. However, a negative regulatory region from -1411 to -1150 inhibits gene transcription in the inner pericarp. DNase I footprint analysis showed that nuclear proteins in unripe and ripe fruit interact with DNA sequences within each of these three regulatory regions. Thus, temporal and spatial control of PG transcription is mediated by the interaction of negative and positive regulatory promoter elements, resulting in gene activity in the outer pericarp but not the inner pericarp of ripe tomato fruit. The expression pattern of PG suggests that, although they are morphologically similar, there is a fundamental difference between the parenchymatous cells within the inner and outer pericarp.
Investigation of the concurrent colonization with and in poultry flocks and assessment of the sampling site for status determination at slaughter

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Investigation of the concurrent colonization with and in poultry flocks and assessment of the sampling site for status determination at slaughter G. Rasschaert, K. Houf, J. van Hende, L. de Zutter
Stimulation of Dnmt1 by Uhrf1

The Ubiquitin-Like Containing PHD and RING Finger Domains Protein 1 (Uhrf1) is essential for maintenance DNA methylation by the DNA methyltransferase 1 (Dnmt1). Uhrf1 has been shown to recruit Dnmt1 to replicated DNA by the ability of its SET and RING-Associated (SRA) domain to bind to hemimethylated DNA. Here, we demonstrate that Uhrf1 also increases the activity of Dnmt1 by almost 5 fold. This stimulation is mediated by a direct interaction of both proteins through the SRA domain of Uhrf1 and the Replication Foci Targeting Sequence (RFTS) domain of Dnmt1 and it does not require DNA binding by the SRA domain. Disruption of the interaction between Dnmt1 and Uhrf1 by replacement of key residues in the RFTS domain led to a strong reduction of Dnmt1 stimulation. Additionally, the interaction with Uhrf1 increased the specificity of Dnmt1 for methylation of hemimethylated CpG sites. These findings show that apart from the targeting of Dnmt1 to the replicated DNA, Uhrf1 increases Dnmt1’s activity and specificity, thus exerting a multifaceted influence on the maintenance
Robust key point descriptor for multi-spectral image matching

Histogram of collinear gradient-enhanced coding (HCGEC), a robust key point descriptor for multi-spectral image matching, is proposed. The HCGEC mainly encodes rough struc- tures within an image and suppresses detailed textural information, which is desirable in multi-spectral image matching. Experiments on two multi-spectral data sets demonstrate that the proposed descriptor can yield significantly better results than some state-of- the-art descriptors.
LONG-RUN ABSTINENCE AFTER TREATMENT FOR NARCOTICS ABUSE: WHAT ARE THE ODDS?

We consider the long-run odds that narcotics users remain abstinent after methadone treatment. A flexible split hazard specification that allows for individual-level differences in both the longrun probability of eventual relapse and the short-run timing of relapse is developed. The model is applied to a comprehensive data set involving individual drug abuse and treatment histories for over eight hundred addicts. Our findings indicate (1) that the short-run success of methadone programs does not automatically translate into long-run abstinence, (2) the importance of intervention programs aimed at youths, and (3) the possibility to identify high-risk groups, which may allow for a more effective targeting of drug prevention and treatment programs.
CUSTOMER PERCEIVED VALUE, SATISFACTION AND TRUST TOWARD ISLAMIC BANK: A CONCEPTUAL FRAMEWORK

The purpose on the study is examined the effect of customer perceived value and satisfaction toward Islamic Bank in Aceh. The research population consisting of the Islamic Bank customer in Aceh, the sampling method is purposive sampling. Data were collected from Islamic Bank customer in Aceh (n = 200). The data will analyzed using two analysis tools: Statistical Package for Social Science (SPSS) and Structural Equation Modeling (SEM AMOS). SPSS is used to analyze respondent characteristics and variables descriptive. SEM AMOS is used to examine verificative hypotheses. Keywords— Perceived value, Satisfaction, Trust
On smooth models for complex domains and distances

Spline smoothing is a popular technique for creating maps of a spatial phenomenon. Most smoothers use the Euclidean metric to measure the distance between data. This approach is flawed since the distances between points in the domain as experienced by the objects within the domain are rarely Euclidean. For example, the movements of animals and people are subject to both physical and political boundaries (respectively) which must be navigated. Measuring distances between the objects using the incorrect (Euclidean) metric leads to incorrect inference. The first part of this thesis develops a finite area smoother which does not su↵er from this problem when the shape of the area is complex. It begins by rejecting the use of the Schwarz-Christo↵el transform as a method for morphing complex domains due to its squashing of space. From there a method based on preserving within-area distances using multidimensional scaling is developed. High dimensional projections of the data are necessary to avoid a loss of ordering in the points. To smooth reliably in high dimensions Duchon splines are used. The model developed rivals the current best finite area method in prediction error terms and fits easily into larger models. Finally, the utility of projection methods to smooth general distances is explored. The second part of the thesis concerns distance sampling, a widely used set of methods for estimating the abundance of biological populations. The work presented here introduces mixture formulation for the detection function used to model the probability of detection. The use of mixture models leads to flexible but monotonic detection functions, avoiding the unrealistic shapes which conventional methods are prone to. These new models are then applied to several existing, problematic data sets.
Building Robust Simulation-based Filters for Evolving Data Sets

The need for accurate monitoring and analysis of sequential data arises in many scientific, industrial and financial problems. Although the Kalman filter is effective in the linear-Gaussian case, new methods of dealing with sequential data are required with non-standard models. Recently, there has been renewed interest in simulation-based techniques. The basic idea behind these techniques is that the current state of knowledge is encapsulated in a representative sample from the appropriate posterior distribution. As time goes on, the sample evolves and adapts recursively in accordance with newly acquired data. We give a critical review of recent developments, by reference to oil well monitoring, ion channel monitoring and tracking problems, and propose some alternative algorithms that avoid the weaknesses of the current methods.
A 910MHz Injection Locked BFSK Transceiver for Wireless Body Sensor Network Using Colpitts Oscillator

A 910MHz high efficiency RF transceiver for Wireless Body Area Network in medical application is presented in this paper. High energy efficiency transmitter and receiver architectures are proposed. In wireless body sensor network, the transmitter must have higher efficiency compared with the receiver because a large amount of data is sent from sensor node to receiver of the base station and smaller amount of data is received. Using colpitts oscillator in the proposed transceiver with injection-lock technique, the efficiency of transmitter and receiver has been improved. The designed transceiver consumes 1 mW at -6 dBm output with 5 Mbps data rate. Energy consumption of transmitter and receiver are 864 pJ/(bit×mW) and 114 pJ/bit, respectively. The proposed transmitter was designed in 0.18 μm RFCMOS technology.
Combining Association Mining with Topic Modeling to Discover More File Relationships

— Software maintenance tasks require familiarity with the entire software system to make proper changes. Often, maintenance engineers who did not develop the software are tasked with corrective or adaptive maintenance tasks. As a result, modifying the software becomes a time-consuming process due to their lack of familiarity with the source code. To help software engineers locate relevant files for a maintenance task, association mining has been used to identify the files that frequently change together in a software repository. However, association mining techniques are limited to the amount of project history stored in a software repository. We address this difficulty by using a technique that combines association mining with topic modeling, referred to as Frequent Pattern Growth with Latent Dirichlet Allocation (FP-LDA). Topic modeling aims to uncover file relationships by learning semantic topics from source files. We validated our technique via experiments on seven open source projects with different project characteristics. Our results indicate that FP-LDA can find more related files than association mining alone. We also offer lessons learned from our investigation.
Optical self cooling of a deformable Fabry-Perot cavity in the classical limit

We investigated the optomechanical properties of a Fabry-Perot cavity with a mirror mounted on a spring. Such a structure allows the cavity length to change elastically under the effect of light-induced forces. This optomechanical coupling is exploited to control the amplitude of the mechanical fluctuation of the mirror, a situation referred to as optical self cooling or passive optical cooling. We present a model developed in the classical limit and discuss data obtained in the particular case in which photothermal forces are dominant.
Forecasting Value-at-Risk for equity returns with regime switching models

We use an univariate and multivariate Markov-Switching model to capture regime structures of three different equity returns. Besides a Markov-Switching approach, we use an endogenous regime switching model to capture the regime dynamics of equity returns. For each equity return we forecast the Value-at-Risk with a horizon of one month. We find that both Markov-Switching and endogenous regime switching models identify states with high volatility and a low intercept, and states with low volatility and a high intercept, except for the emerging market equity where no significant lower intercept is present in the high volatility state. Endogenous regime switching is present in developed market equity and private equity, indicating leverage effects in developed market equity and both leverage and trend following effects in private equity. Only the forecasts obtained from the multivariate Markov-Switching model pass the calibration backtests for all equities.
Original Contribution Are Americans Feeling Less Healthy? The Puzzle of Trends in Self-rated Health

a 2009 The Authors This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Vol. 170, No. 3 DOI: 10.1093/aje/kwp144 Advance Access publication June 29, 2009
Neuroprotective Effect of Extract-fractions from Sceletium tortuosum and their Preliminary Constituents Identification by UPLC-qTOF-MS with Collision Energy and MassFragment Software

Authors contribution: Authors contributed equally to this paper or author contribution: Yangwen Luo performed the experiments, data collection, analysis, reference search and preparation of manuscript; Isadore Kanfer and Srinivas Patnala; contributed to identification and supply of Sceletium plant material and provided guidance on alkaloidal components and their separation and further editing and proof reading the manuscript; Luchen Shan and Lipeng Xu; provided guidance on pharmacological experiments; Yi Dai; contributed towards guidance of UPLCqTOF-MSE experiments; Pei Yu; contributed towards research literature, project administration, and proof reading.
Interspecies Comparison of Alveolar Bone Biology, Part I: Pristine Bone

Igor Pilawski, U. Serdar Tulu, Pavla Ticha, Peter Schüpbach, Hannes Traxler, Quanchen Xu, Jie Pan, Benjamin R. Coyac, Xue Yuan, Ye Tian, Yindong Liu, Jinlong Chen, Yasemin Erdogan, Masaki Arioka, Marzia Armaro, Meagan Wu, and Jill A. Helms§, Division of Plastic and Reconstructive Surgery, Department of Surgery, Stanford University School of Medicine, Stanford, CA, USA Schupbach Ltd., Service and Research Laboratory, Thalwil, Switzerland 3 Center of Anatomy and Cell Biology, Division of Anatomy, Medical University Vienna, Austria Department of Clinical Pharmacology, Faculty of Medical Sciences, Kyushu University, Fukuoka, Japan Nobel Biocare Services AG P.O. Box, CH-8058 Zürich-Flughafen, Switzerland,
Polarity of Auxin Movement by Basipetal Transport'

Sikmninarv. The polar, basipetal transport of indoleacetic acid helps to mlainitain l)olarity of auxin movement in coleoptiles of Azcna sativa L. by opposing acropetal diffusion. This conclusion is supported by 3 different kinds of experiments. In all 3 experiments, sections took up 14C carboxyl-labeled indole-3-acetic acid anaerobically, anid the distribution of auxin within all sections was similar at the end of uptake. 1) After basal donors were replaced by receivers, basipetal movement was more rapid in air than nitrogen. This increase in basipetal movement is attributed to transport, and occurred within 15 miniutes after sections were transferred to air. Apparently the basipetal transport has ready access to auxin diffusing within the sectioil. 2) After basal donors were removed and the sections were suspended without receivers, acropetal moveement was less in aerobic than anaerobic sections. 3) After apical donors were replaced by apical receivers. acropetal movement was again less in sections made aerobic. The decrease in acropetal movement in air equalled the amounit of auxin moved basipetally by transport. The latter 2 experiments show that basipetal transport reduces the net acropetal flux of auxin.