Miracle-dz/UniFAR-FTUs huggingface dataset:
Fast and easy channel-surfing for digital televisions by two buttons and backward regress-able binary tree

In this paper, we proposed a novel method for fast and easy channel-surfing on digital televisions. With this method, only two traditional channel-changing buttons are used, and the channel information is displayed by a tree structure based on a backward regress-able binary tree. The proposed binary tree enables quick surfing and capability for backward surfing that requires only two buttons. Experimental results show that the proposed method enables a user to navigate to a desired channel through just three flicks, when the number of popular channels is less than 30, regardless of the total number of channels. Therefore, the proposed method provides more convenient channel selection than previous methods.
Multi-feature based label propagation for semi-supervised classification of hyperspectral data

For hyperspectral remote sensing, some spatial features e.g., texture and morphological feature, have been successfully employed for classification task. In this paper, we investigate the utilization of multiple features in label propagation (LP) classifier, attempting to improve the classification accuracy with small size samples. The graph of LP classifier is constructed by using multiple features, where each feature calculates a similarity matrix and a composite similarity matrix is obtained via linear combination. To weight the importance of each feature in the combination, leave-one-out strategy is applied to obtain a suitable weight for each feature. Experimental results on two high resolution hyperspectral data show that the proposed approach obtained better classification performance than LP classifier with single spectral feature and LP with equal weighted multi-feature.
thinkteam ® with Replicated Data Repositories : Stochastic Model Checking in Industry

Product Data Management (PDM) systems support the document management of design processes like those used in the manufacturing industry. They allow enterprises to capture, organise, automate and share engineering information efficiently. Essential aspects of such systems are handling queries on product information and downand uploading assemblies of related files for modification by designers. The efficiency of such a system as perceived by its users depends on its correct functioning, but also for a significant part on its performance aspects. We apply stochastic model checking in an industrial setting to evaluate a service-oriented extension of the PDM system thinkteam with multiple replicated vaults. We investigate the effect of different quality of service assumptions on the system’s usability from a user’s perspective, and briefly report on our industrial experience with stochastic model checking.
SAN-Slotted Aloha-NOMA a MAC Protocol for M 2 M Communications

This paper describes Slotted Aloha-NOMA (SAN), a novel medium access control (MAC) protocol, directed to Machine to Machine (M2M) communication applications in the 5G Internet of Things (IoT) networks. SAN is matched to the low-complexity implementation and sporadic traffic requirements of M2M applications. Substantial throughput gains are achieved by enhancing Slotted Aloha with non-orthogonal multiple access (NOMA) and a Successive Interference Cancellation (SIC) receiver that can simultaneously detect multiple transmitted signals using power domain multiplexing. The gateway SAN receiver adaptively learns the number of active devices using a form of multi-hypothesis testing and a novel procedure enables the transmitters to independently select distinct power levels. Simulation results show that the throughput of SAN exceeds that of conventional Slotted Aloha by 0.8 packet/sec and that of CSMA/CA by 0.2 packet/sec with a probability of transmission of 0.03, with a slightly increased average delay owing to the novel power level selection mechanism. Multiple-input-multipleoutput beamforming (2x2 MIMO BF) further increases the data throughput to 1.31 packet/sec compared with 0.36 packet/sec in conventional Slotted Aloha with 3 optimum power levels and reduces the average channel access delay of the SAN protocol from 0.13 sec to 0.09 sec.
Association of Some Haemoglobin Variants with ABO and Rhesus D Antigen Phenotype in Kano Metropolis Najib

Haemoglobin (Hb) variants are mutant form of haemoglobin caused by genetic variations. Several researches revealed that some diseases are associated with some specific blood groups. The aim of this research was to determine the association between some haemoglobin variants and the ABO and Rhesus D antigen Phenotype in Kano Metropolis. A total of 120 participants with different haemoglobin variants were recruited in this study for the period of eight months, April through November, 2016. Forty (40) apparently healthy subjects who had normal haemoglobin AA were used as controls. Hb phenotype was confirmed by Hb electrophoresis at an alkaline PH. While ABO and Rhesus D antigen phenotypes were determined by tile and tube methods using antisera from Lorne Laboratories, UK. Blood group O was found to be higher in those with haemoglobin SS and SC, and blood group B was found to be higher in those with Hb AC. In Hb SS, blood group O (53.33%) predominates followed by A (18.33%), B (16.67%) and AB (11.67%). In Hb SC, blood group O (56.6%) predominates followed by group B (20%), AB (16.67%) and A (6.67%). But in Hb AC, blood group B (40%) predominates followed by O (30%), A (16.67%) and AB (13.33%). Statistically negative association was established between haemoglobin variants (Hb SS, Hb SC and Hb AC) and the ABO and Rhesus D antigen Phenotypes in this study. ABO and Rhesus D antigens may not be associated with the inheritance of haemoglobinSS, haemoglobinSC and haemoglobinAC.
Can Self-Reported Preference for Exercise Intensity Predict Physiologically Defined Self-Selected Exercise Intensity?

Exercise prescription guidelines emphasize the importance of individual preferences for different intensities, but such preferences have not been studied systematically. This study examined the hypothesis that the preference scale of the Preference for and Tolerance of the Intensity of Exercise Questionnaire would predict self-selected exercise intensity. Twenty-three previously sedentary middle-aged women participated in a treadmill test and a 20-min session at a self-selected intensity. After controlling for age, body mass index, and peak oxygen uptake, the preference scale accounted for significant portions of the variance in the percentage of oxygen uptake associated with the ventilatory threshold at Minute 15 and Minute 20 of the session at self-selected intensity.
Structural and Dielectric Investigation of Spin Coated AlN Thin Films by Sol-Gel Route

In this study we have AlN thin films synthesized using sol gel technique with sols of different molarity. The molarity of the sol concentration is varied as 0.1mM, 0.3mM and 0.5mM. AlN thin films are deposited by spin coating. Owning to its good physical and mechanical properties like high thermal conductivity, high electrical resistivity, good mechanical strength, low coefficient of thermal expansion and high chemical stability. AlN is extensively used in optoelectronics, SAW devices, piezoelectric sensors and in the fabrication of micro electro-mechanical systems. Structural properties are investigated using X-ray diffractometer. Dielectric properties are studied by Impedance Analyzer. All the samples show amorphous behavior, but the sample prepared with 0.5mM molarity shows prominent peaks between 30° to 80°(2-theta). These peaks are corresponding to hexagonal phase of h-AlN according to Joint Committee on Powder Diffraction Standards (JCPDS) card no. 25-1133.Transmission spectrum shows the high value of transmission ~90% for 0.1mM sample. The band gap for 0.5mM sample is highest (4.0eV) which is due to the good crystal quality as confirm by the XRD results. Room temperature dielectric measurements show that dielectric constant and tangent loss decreases with increases in frequency suggesting potential application of AlN thin films in high frequency applications.
Symmetry‐Aware Template Deformation and Fitting

In this paper, we propose a new method for reconstructing 3D models from a noisy and incomplete 3D scan and a coarse template model. The main idea is to maintain characteristic high‐level features of the template that remain unchanged for different variants of the same type of object. As invariants, we chose the partial symmetry structure of the template model under Euclidian transformations, i.e. we maintain the algebraic structure of all reflections, rotations and translations that map the object partially to itself. We propose an optimization scheme that maintains continuous and discrete symmetry properties of this kind while registering a template against scan data using a deformable iterative closest points (ICP) framework with thin‐plate‐spline regularization. We apply our new deformation approach to a large number of example data sets and demonstrate that symmetry‐guided template matching often yields much more plausible reconstructions than previous variants of ICP.
Quantitative structure–activity relationships (QSARs) within the cytochrome P450 system: QSARs describing substrate binding, inhibition and induction of P450s

Quantitative structure-activity relationships (QSARs) within substrates, inducers and inhibitors of cytochromes P450 involved in xenobiotic metabolism are reported, together with QSARs associated with induction, inhibition and metabolic rate. The importance of frontier orbitals and shape descriptors, such as planarity (estimated by the area/depth2 parameter) and rectangularity (estimated by the length/width parameter) is discussed, particularly in the context of the COMPACT system which discriminates between several P450 families associated with the activation and detoxication of xenobiotics. The use of parameters, particularly those derived from homology modelling of mammalian (especially human) P450s that are involved in exogenous metabolism, in generating QSARs for P450 substrates is discussed in the context of explaining differences in the binding affinities of human P450 substrates which are pharmacologically active.
Implementation of a surgical safety checklist: impact on surgical team perspectives.

BACKGROUND The World Health Organization (WHO) surgical safety checklist has been shown to decrease mortality and complications and has been adopted worldwide. However, system flaws and human errors persist. Identifying provider perspectives of patient safety initiatives may identify strategies for improvement. The purpose of this study was to determine provider perspectives of surgical safety checklist implementation in an effort to improve initiatives that enhance surgical patients' safety. METHODS In September 2010, a WHO-adapted surgical safety checklist was implemented at our institution. Surgical teams were invited to complete a checklist-focused questionnaire 1 month before and 1 year after implementation. Baseline and follow-up results were compared. RESULTS A total of 437 surgical care providers responded to the survey: 45% of providers responded at baseline and 64% of providers responded at follow-up. Of the total respondents, 153 (35%) were nurses, 104 (24%) were anesthesia providers, and 180 (41%) were surgeons. Overall, we found an improvement in the awareness of patient safety and quality of care, with significant improvements in the perception of the value of and participation in the time-out process, in surgical team communication, and in the establishment and clarity of patient care needs. Some discordance was noted between surgeons and other surgical team members, indicating that barriers in communication still exist. Overall, approximately 65% of respondents perceived that the checklist improved patient safety and patient care; however, we found a strong negative perception of operating room efficiency. CONCLUSION Implementation of a surgical safety checklist improves perceptions of surgical safety. Barriers to implementation exist, but staff feedback may be used to enhance the sustainability and success of patient safety initiatives.
An Alternative Algorithm for Counting Lattice Points in a Convex Polytope

We provide an alternative algorithm for counting lattice points in the convex polytope {x â ânâ£Ax = b, x â¥ 0}. It is based on an exact (tractable) formula for the case A â â¤mii¾(m+1) that we repeatedly use for the general case A â â¤mii¾n.
Measuring software development productivity : a machine learning approach

We apply machine learning to version control data to measure software development productivity. Our models measure both the quantity and quality of produced code. Quantity is defined by a model that predicts the labor hours supplied by the ‘standard coder’ to make any code change, and quality is defined by a model that predicts the distribution of different kinds of problems identified by a static code analysis tool.
Transcription factor Nfat1 deficiency causes osteoarthritis through dysfunction of adult articular chondrocytes

Osteoarthritis (OA) is the most common form of joint disease in middle‐aged and older individuals. Previous studies have shown that over‐expression of matrix‐degrading proteinases and proinflammatory cytokines is associated with osteoarthritic cartilage degradation. However, it remains unclear which transcription factors regulate the expression of these cartilage‐degrading molecules in articular chondrocytes. This study demonstrated that mice lacking Nfat1, a member of the nuclear factor of activated T cells (NFAT) transcription factors, exhibited normal skeletal development but displayed loss of type II collagen (collagen‐2) and aggrecan with over‐expression of specific matrix‐degrading proteinases and proinflammatory cytokines in young adult articular cartilage of load‐bearing joints. These initial changes are followed by articular chondrocyte proliferation/clustering, progressive articular surface destruction, periarticular chondro‐osteophyte formation and exposure of thickened subchondral bone, all of which resemble human OA. Forced expression of Nfat1 delivered with lentiviral vectors in cultured 3 month‐old primary Nfat1 knockout (Nfat1−/−) articular chondrocytes partially or completely rescued the abnormal catabolic and anabolic activities of Nfat1−/− articular chondrocytes. These new findings revealed a previously unrecognized critical role of Nfat1 in maintaining the physiological function of differentiated adult articular chondrocytes through regulating the expression of specific matrix‐degrading proteinases and proinflammatory cytokines. Nfat1 deficiency causes OA due to an imbalance between the catabolic and anabolic activities of adult articular chondrocytes, leading to articular cartilage degradation and failed repair activities in and around articular cartilage. These results may provide new insights into the aetiology, pathogenesis and potential therapeutic strategies for osteoarthritis. Copyright © 2009 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
Should we forget NOECs?

with the lowest possible combination of Type I and II errors for a given study design (Figure 1A) (if we assume that the a priori probabilities of the alternative and null hypotheses are equal). For cases where the costs of Type I and II errors are known to be unequal, a can instead be set to minimize the probability-weighted cost of Type I and Type II errors at the critical effect size (CIaþCIIb, where CI and CII represent the relative costs of Type I and Type II errors) to provide the a level with the lowest possible combined cost of Type I and II errors for a given study design (Figure 1B). As estimates of relative costs of Type I and Type II errors are subjective, minimizing average costs of Type I and II errors, instead of minimizing average probabilities of Type I and II errors, should only be considered when there is a clear and defensible a priori justification that 1 type of error has higher costs than the other. Optimal a can be calculated for any test for which statistical power can be calculated. R-code has been developed to perform the iterative steps necessary to calculate an optimal a for t tests, linear regression, and ANOVA, and is available from the authors.
Molecular genotyping of bacillus anthracis strains from Georgia and northeastern part of Turkey

Bacillus anthracis is the causal agent of anthrax and has a history of use as a biological weapon. Anthrax cases occur worldwide and the disease is endemic in certain regions. Here we describe a study of the genetic diversity of B. anthracis strains in two endemic areas: The country of Georgia and the Kars region of Turkey. Thirty Turkish isolates and thirty Georgian isolates were subjected to Single Nucleotide Polymorphism (SNP) sub typing, followed by higher-resolution genotyping using 25-loci variable-number tandem repeat analysis (MLVA-25). Canonical SNP typing indicated that Turkish strains belonged to both the A.Br. 003 linage and the Australian 94 lineage. In light of a recent analysis that placed the majority of Georgian B. anthracis isolates in one phylogenetic group, we screened the Turkish strains using a previously developed Georgian SNP panel. Minimal diversity was observed among the Kars strains within the Georgian SNP lineage: all 30 of these strains grouped with A.Br. 026, ten strains were derived from A.Br. 028, and only two isolates belonged to A.Br. 029. According to the results of MLVA-25 genotyping, all 30 Turkish strains belong to two clusters. Cluster A is more diverse than cluster B. Our results suggest that B. anthracis strains originating from Georgia and the northeastern part of Turkey are genetically interrelated, which could be explained by the geographic proximity of the countries.
Quantum Turbulence , and How it is Related to Classical Turbulence

Since the discovery of turbulence in superfluid, great attention has been paid in finding out and understanding its properties. One way to understand quantum turbulence is by comparing it to classical turbulence. In recent researches, some similarities and differences between the properties of quantum turbulence and classical turbulence have been found. In this essay, analytical models, experimental and numerical results on turbulence in He II will be discussed and compared to the properties of classical turbulence. I will focus on the similarity and difference in energy spectrum of He II turbulence and classical turbulence. The cause of the similarity and difference will also be addressed briefly. Finally, ongoing research problems concerning quantum turbulence and its relationship with classical turbulence will be briefly discussed at the end of this essay. This is the term essay for Phys 569: Emergent State of Matter taught by Professor Nigel Goldenfeld.
PECULIARITIES OF GLOW MODES OF ARGON ATMOSPHERIC PRESSURE RADIO-FREQUENCY CAPACITIVE DISCHARGE WITH ISOLATED ELECTRODES

In past decade atmospheric pressure discharges were widely used in many applications, including sterilization, surface treatment, exhaust purification, nanoscience [1 3]. It should be noted that among a variety of such discharges (dielectric barrier discharges (DBDs), plasma jets, microwave discharges, radiofrequency (RF) discharges) the last kind is of the utmost interest. Advantages of such discharges are low ignition voltage and ability to create dense uniform plasma in large volumes. Capacitively coupled plasmas in such discharges usually are generated between bare metal electrodes typically at 13.56 MHz. As in case of low pressure discharges, atmospheric pressure ones can exist in two modes – low-current α mode, and high-currentр γ one [4]. Transition from α to γ mode occurs in result of “breakdown” of space charge layers of the discharge in α mode, which leads to contraction of the discharge, and at subsequent voltage growth arcing may occur in some cases. Due to that, in spite of higher efficiency of γ-mode discharge owing to its higher current density, the discharge instability becomes principal drawback in its practical applications. In [5, 6] it was proposed to use dielectric barriers for stabilization of γ mode of RF discharge glow. Experimental and theoretical investigations of RF discharge with dielectric barriers in helium at atmospheric pressure confirmed possibility of stable operation of γ-mode discharge at high current values [7, 8]. However, in case of practical application of RF discharges, use of helium as main gas in different mixtures is not justified due to its high cost. In [9] for creation of layers for liquid crystal alignment, RF discharge with dielectric barriers in argon at atmospheric pressure was successfully used with operation in low-current α mode. The present paper represents results of experimental study of glow peculiarities of such discharge at its transition from low-current α mode to high-current γ mode.
EdinBots Team Description Paper for Rescue Simulation League 2018

The following document presents the Edinbots team as well as our intended strategy to compete on the Virtual Robot Competition in the scope of the RobotCup 2018 Rescue Simulation League. Our strategy will derive concepts from the field of Swarm Robotics to both collaborative mapping and searching tasks, in a comprehensive and integrated manner. Mapping will target the construction of a Vornoi Diagram explicit differentiating between occupied and free areas, while searching will be based on extensions of the Particle Swarm Optimization for maximizing search area and simulated stigmergy as means of sharing key features of the map on the ground. Lastly, victim detection will be done by carry out a range of classification techniques based on the various different features of the victims: temperature, movement, shape and sound.
Predicting Host Immune Cell Dynamics and Key Disease-Associated Genes Using Tissue Transcriptional Profiles

Motivation: Immune cell dynamics is a critical factor of disease-associated pathology (immunopathology) that also impacts the levels of mRNAs in diseased tissue. Deconvolution algorithms attempt to infer cell quantities in a tissue/organ sample based on gene expression profiles and are often evaluated using artificial, non-complex samples. Their accuracy on estimating cell counts given temporal tissue gene expression data remains not well characterized and has never been characterized when using diseased lung. Further, how to remove the effects of cell migration on transcript counts to improve discovery of disease factors is an open question. Results: Four cell count inference (i.e., deconvolution) tools are evaluated using microarray data from influenza-infected lung sampled at several time points post-infection. The analysis finds that inferred cell quantities are accurate only for select cell types and there is a tendency for algorithms to have a good relative fit (R 2 ) but a poor absolute fit (normalized mean squared error; NMSE), which suggests systemic biases exist. Nonetheless, using cell fraction estimates to adjust gene expression data, we show that genes associated with influenza virus replication and increased infection pathology are more likely to be identified as significant than when applying traditional statistical tests.