Miracle-dz/UniFAR-FTUs huggingface dataset:
ANALYSIS AND EXPERIMENTAL VERIFICATION OF LOSSES IN A CONCENTRATED WOUND INTERIOR PERMANENT MAGNET MACHINE

It is well known that additional space harmonics in the air-gap magnetomotive force (MMF) distribution of the concentrated non-overlapping windings (CW) cause additional losses in the machine. This is especially so for machines used for traction applications where the machine requires to operate over its rated speed and frequency. In this paper, the authors investigates losses present in an interior permanent magnet (IPM) machine with CW designed to achieve a very wide fleld weakening range. Losses were quantifled analytically and also using flnite element methods. Loss estimations were experimentally verifled in a constructed prototype machine. Based on the analysis, key losses were identifled. The optimization process to minimize these losses and of improving e-ciency were discussed in details. The segregation of the losses in the studied machine indicates that the losses in the magnet are much smaller compared to the rotor and stator core losses caused by the slot harmonics. Therefore, core loss minimization techniques for this type of machine will involve reduction of slot harmonics. Also, copper loss is found to be the most dominating component of the total loss. Hence, copper loss minimization should be part of the design optimization process.
Designing digital payment artifacts

Ubiquitous and pervasive computing is fundamentally transforming product categories such as music, movies, and books and the associated practices of product searching, ordering, and buying. This paper contributes to theory and practice of digital payments by conducting a design science inquiry into the mobile phone wallet (m-wallet). Four different user groups, including young teenagers, young adults, mothers and businessmen, have been involved in the process of identifying, developing and evaluating functional and design properties of m-wallets. Interviews and formative usability evaluations provided data for the construction of a conceptual model in the form of sketches followed by a functional model in the form of low-fidelity mock-ups. During the design phases, knowledge was gained on what properties the users would like the m-wallet to embody. The identified properties have been clustered as 'Functional properties' and 'Design properties', which are theoretical contributions to the on-going research on m-wallets. One of the findings from our design science inquiry into m-wallets is that everyday life contexts require that evaluation criteria have to be expanded beyond "functionality, completeness, consistency, accuracy, performance, reliability, usability, fit with the organization, and other relevant quality attributes" [12] that are used within current design science work.
Prediction of risk score for heart disease using associative classification and hybrid feature subset selection

Medical data mining is the search for relationships and patterns within the medical data that could provide useful knowledge for effective medical diagnosis. Extracting useful information from these data bases can lead to discovery of rules for later diagnosis tools. Generally medical data bases are highly voluminous in nature. If a training data set contains irrelevant and redundant features classification may produce less accurate results. Feature selection as a pre-processing step in used to reduce dimensionality, removing irrelevant data and increasing accuracy and improves comprehensibility. Associative classification is a recent and rewarding technique that applies the methodology of association into classification and achieves high classification accuracy. Most associative classification algorithms adopt exhaustive search algorithms like in Apriori, and generate huge no. of rules from which a set of high quality of rules are chosen to construct efficient classifier. Hence generating a small set of high quality rules to build classifier is a challenging task. Cardiovascular diseases are the leading cause of death globally and in India more deaths are due to CHD. Cardiovascular disease is an increasingly an important cause of death in Andhra Pradesh. Hence there is an urgent need to develop a system to predict the heart disease of people. This paper discusses prediction of risk score for heart disease in Andhra Pradesh. We generated class association rules using feature subset selection. These generated rules will help physicians to predict the heart disease of a patient.
NTCIR-3 Cross-Language IR Experiments at ULIS

This paper describes our retrieval system for the NTCIR-3 CLIR task, focusing on Japanese and English. We integrate query and document translation methods to improve retrieval accuracy, and perform clustering to improve browsing efficiency. In query translation, to derive possible translations for user queries, we use dictionaries and perform a transliteration method, which generates translations for out-ofdictionary loanwords based on the Japanese phonogram system. We also use a probabilistic model to resolve translation/transliteration ambiguity to improve the query translation accuracy. We show the effectiveness of our system with respect to the NTCIR-3 J-J, E-E, J-E, and J-JE subtasks.
Model-free iterative learning of time-optimal point-to-point motions for LTI systems

This paper presents a model-free iterative learning control algorithm, which generates time-optimal point-to-point motions for linear time-invariant systems. The proposed optimization-based algorithm consists of two levels. At the first level, a bisection algorithm determines the fastest possible point-to-point motion, i.e. the motion time is minimized, subject to actuator limitations. At the second level, an iterative learning control algorithm for point-to-point motions learns the system input that results in a point-to-point motion, with the minimal motion time obtained by the bisection algorithm at the first level. Simulation results show that the proposed model-free method is able to learn the time-optimal system input for a given point-to-point motion problem in the presence of measurement noise and repeating disturbances.
SELECTION OF THE MELTING TEMPERATURE OF PHASE CHANGE MATERIALS CONSIDERING LOCAL CLIMATE

The selection of melting temperature of phase change materials (PCMs) is crucial part of PCM applications in building sector in order to achieve better thermal performance. This study examines various temperatures in Adelaide local climate such as conditioned indoor air temperature and outdoor dry/web bulb air temperature in order to find suitable melting temperature of PCM for passive and active application. According to the conditioned indoor temperature from ten houses in Adelaide, indoor air temperature is maintained between 15°C and 32°C with 22–23°C as an average. Average outdoor dry and web bulb air temperature is less than 18°C and 15°C, respectively. The temperature analysis demonstrates that the PCM with melting temperature around 22°C is assumed to be suitable for passive and free cooling system of residential buildings in Adelaide. On the other hand, the PCM for passive and free heating system is assumed not to work well during most of the day in winter because the outdoor air temperature during the winter lies under the thermal comfort range. Furthermore, the PCM thermal storage unit coupled with evaporative cooling system (EVAP-CS) is expected to increase energy efficiency of building by using outdoor cooled air during the summer night comparing to conventional vapour compression air conditioning system.
Evening types are more often current smokers and nicotine-dependent-a study of Finnish adult twins.

AIMS To examine the association between diurnal type and smoking status and nicotine dependence (ND). DESIGN A cohort study using random-effects model regressions for repeated longitudinal panel data was used to analyse smoking status by diurnal type. Regression analyses examined the association between diurnal type and ND. PARTICIPANTS A total of 23, 289 same-sex adult twin individuals from Finnish Twin Cohort. Nicotine dependence was studied in a subsample of 676 twin individuals. MEASUREMENTS Subjects were classified by self-report into four categories: morning type, somewhat morning type, somewhat evening type, evening type (in 1981). Smoking status was defined as current and ever smoking (in 1975, 1981 and 1990). ND was measured by DSM-IV and Fagerström Test for Nicotine Dependence (FTND) (during 2001-05). Findings Evening types of both genders were much more likely to be current (OR = 2.91, 95% CI 2.50, 3.38) and life-time smokers (OR = 2.67, 95% CI 2.96, 4.07) compared to morning types. Evening types were less likely to stop smoking. The risk of nicotine dependence assessed by DSM-IV criteria was higher among evening types (OR = 2.78, 95% CI 1.64, 4.72). Evening types scored 0.59 (95% CI 0.01, 1.17) points higher than morning types on the FTND. Adjustment for potential confounders did not change these associations. CONCLUSIONS Being an evening type is associated independently with a higher risk of being a current smoker, being more highly dependent upon cigarettes and a lower likelihood of stopping smoking. Understanding the cause of these associations could elucidate the causes of tobacco addiction.
Hollow metal microneedles for insulin delivery to diabetic rats

The goal of this study was to design, fabricate, and test arrays of hollow microneedles for minimally invasive and continuous delivery of insulin in vivo. As a simple, robust fabrication method suitable for inexpensive mass production, we developed a modified-LIGA process to micromachine molds out of polyethylene terephthalate using an ultraviolet laser, coated those molds with nickel by electrodeposition onto a sputter-deposited seed layer, and released the resulting metal microneedle arrays by selectively etching the polymer mold. Mechanical testing showed that these microneedles were sufficiently strong to pierce living skin without breaking. Arrays containing 16 microneedles measuring 500 /spl mu/m in length with a 75 /spl mu/m tip diameter were then inserted into the skin of anesthetized, diabetic, hairless rats. Insulin delivery through microneedles caused blood glucose levels to drop steadily to 47% of pretreatment values over a 4-h insulin delivery period and were then approximately constant over a 4-h postdelivery monitoring period. Direct measurement of plasma insulin levels showed a peak value of 0.43 ng/ml. Together, these data suggest that microneedles can be fabricated and used for in vivo insulin delivery.
Downregulation of p70S6K Enhances Cell Sensitivity to Rapamycin in Esophageal Squamous Cell Carcinoma

It has been demonstrated that mTOR/p70S6K pathway was abnormally activated in many cancers and rapamycin and its analogs can restrain tumor growth through inhibiting this pathway, but some tumors including esophageal squamous cell carcinoma (ESCC) appear to be insensitive to rapamycin in recent studies. In the present study, we explored the measures to improve the sensitivity of ESCC cells to rapamycin and identified the clinical significance of the expression of phosphorylated p70S6K (p-p70S6K). The results showed that, after downregulating the expression of p70S6K and p-p70S6K by p70S6K siRNA, the inhibitory effects of rapamycin on cell proliferation, cell cycle, and tumor growth were significantly enhanced in vitro and in vivo. Furthermore, p-p70S6K had strong positive expression in ESCC tissues and its expression was closely related to lymph node metastasis and the TNM staging. These results indicated that p-p70S6K may participate in the invasion and metastasis in the development of ESCC and downregulation of the expression of p-p70S6K could improve the sensitivity of cells to rapamycin in ESCC.
Changes in Uric Acid Levels following Bariatric Surgery Are Not Associated with SLC2A9 Variants in the Swedish Obese Subjects Study

Context and Objective Obesity and SLC2A9 genotype are strong determinants of uric acid levels. However, data on SLC2A9 variants and weight loss induced changes in uric acid levels are missing. We examined whether the changes in uric acid levels two- and ten-years after weight loss induced by bariatric surgery were associated with SLC2A9 single nucleotide polymorphisms (SNPs) in the Swedish Obese Subjects study. Methods SNPs (N = 14) identified by genome-wide association studies and exonic SNPs in the SLC2A9 gene locus were genotyped. Cross-sectional associations were tested before (N = 1806), two (N = 1664) and ten years (N = 1201) after bariatric surgery. Changes in uric acid were compared between baseline and Year 2 (N = 1660) and years 2 and 10 (N = 1172). A multiple testing corrected threshold of P = 0.007 was used for statistical significance. Results Overall, 11 of the 14 tested SLC2A9 SNPs were significantly associated with cross-sectional uric acid levels at all three time points, with rs13113918 showing the strongest association at each time point (R2 = 3.7−5.2%, 3.9×10−22≤p≤7.7×10−11). One SNP (rs737267) showed a significant association (R2 = 0.60%, P = 0.002) with change in uric acid levels from baseline to Year 2, as common allele homozygotes (C/C, N = 957) showed a larger decrease in uric acid (−61.4 µmol/L) compared to minor allele carriers (A/X: −51.7 µmol/L, N = 702). No SNPs were associated with changes in uric acid from years 2 to 10. Conclusions SNPs in the SLC2A9 locus contribute significantly to uric acid levels in obese individuals, and the associations persist even after considerable weight loss due to bariatric surgery. However, we found little evidence for an interaction between genotype and weight change on the response of uric acid to bariatric surgery over ten years. Thus, the fluctuations in uric acid levels among the surgery group appear to be driven by the weight losses and gains, independent of SLC2A9 genotypes.
Effect of nitrogen fertilisation on the amino acid digestibility of different triticale genotypes in caecectomised laying hens.

BACKGROUND The influence of nitrogen fertilisation and genotype on the amino acid (AA) digestibility of triticale grain was investigated in caecectomised laying hens. Three genotypes, Grenado, EAW6002 and Lasko, were cultivated with and without nitrogen fertilisation at the end of the heading stage. The six triticale variants as well as a basal diet were each used to feed seven laying hens in a 7 × 7 Latin square design. RESULTS Nitrogen fertilisation influenced the digestibility of Cys, Glu, Phe and Ser in some triticale genotypes and reduced Ala, Ile, Lys, Met and Val digestibility in all genotypes (P < 0.05). Nitrogen fertilisation increased the concentration of all AAs in the grain. Consequently, the concentration of digestible AAs in the grains was increased for most AAs upon nitrogen fertilisation. Overall, Lys had the lowest digestibility, whereas that of Glu and Pro was the highest. For the triticale genotypes, the level of AA digestibility was highest for EAW6002 followed by Lasko and Grenado, with significant differences (P < 0.05) between genotypes for some but not all AAs. CONCLUSION The results indicated that the accuracy of the digestible AA supply for hen feeding might benefit from considering fertilisation and genotype-specific digestibility data in feed formulation. © 2016 Society of Chemical Industry.
Optimal content delivery with network coding

We present a unified linear program formulation for optimal content delivery in content delivery networks (CDNs), taking into account various costs and constraints associated with content dissemination from the origin server to storage nodes, data storage, and the eventual fetching of content from storage nodes by end users. Our formulation can be used to achieve a variety of performance goals and system behavior, including the bounding of fetch delay, load balancing, and robustness against node and arc failures. Simulation results suggest that our formulation performs significantly better than the traditional minimum k-median formulation for the delivery of multiple content, even under modest circumstances (small network, few objects, low storage budget, low dissemination costs).
Bioinspired Ultra-Low Adhesive Energy Interface for Continuous 3D Printing: Reducing Curing Induced Adhesion

Additive manufacturing based on liquid resin curing is one of the most promising methods to construct delicate structures. However, precision and speed are limited by the vertical adhesion of in situ cured resin at the curing interface. To overcome the unavoidable adhesion and to develop a general curing interface, we propose a slippery surface taking inspiration of the peristome surface of the pitcher plant. Such surface shows ultra-low adhesive energy at the curing interface due to the inhibition of the direct contact between the cured resin and the solid surface, which also increases the refilling speed of liquid resin. This ultra-low adhesive energy interface is effective for continuous 3D printing and provides insights into the physical mechanisms in reducing vertical solid-solid interfacial adhesion.
Relational vs. group self-construal: Untangling the role of national culture in HRI

As robots (and other technologies) increasingly make decisions on behalf of people, it is important to understand how people from diverse cultures respond to this capability. Thus far, much design of autonomous systems takes a Western view valuing individual preferences and choice. We challenge the assumption that Western values are universally optimal for robots. In this study, we sought to clarify the effects of users' cultural background on human-robot collaboration by investigating their attitudes toward and the extent to which people accepted choices made by a robot or human assistant. A 2×2×2 experiment was conducted with nationality (US vs. Chinese), ingroup strength (weak vs. strong) and human vs. robot assistant as dimensions. US participants reported higher trust of and compliance with the assistants (human and robot) although when the assistant was characterized as a strong ingroup member, Chinese as compared with the US subjects were more comfortable. Chinese also reported a stronger sense of control with both assistants and were more likely to anthropomorphize the robot than were US subjects. This pattern of findings confirms that people from different national cultures may respond differently to robots, but also suggests that predictions from human-human interaction do not hold universally.
Topological length of white matter connections predicts their rate of atrophy in premanifest Huntington’s disease

We lack a mechanistic explanation for the stereotyped pattern of white matter loss seen in Huntington’s disease (HD). While the earliest white matter changes are seen around the striatum, within the corpus callosum, and in the posterior white matter tracts, the order in which these changes occur and why these white matter connections are specifically vulnerable is unclear. Here, we use diffusion tractography in a longitudinal cohort of individuals yet to develop clinical symptoms of HD to identify a hierarchy of vulnerability, where the topological length of white matter connections between a brain area and its neighbors predicts the rate of atrophy over 24 months. This demonstrates a new principle underlying neurodegeneration in HD, whereby brain connections with the greatest topological length are the first to suffer damage that can account for the stereotyped pattern of white matter loss observed in premanifest HD.
Robust online gesture recognition with crowdsourced annotations

Crowdsourcing is a promising way to reduce the effort of collecting annotations for training gesture recognition systems. Crowdsourced annotations suffer from "noise" such as mislabeling, or inaccurate identification of start and end time of gesture instances. In this paper we present SegmentedLCSS and WarpingLCSS, two template-matching methods offering robustness when trained with noisy crowdsourced annotations to spot gestures from wearable motion sensors. The methods quantize signals into strings of characters and then apply variations of the longest common subsequence algorithm (LCSS) to spot gestures. We compare the noise robustness of our methods against baselines which use dynamic time warping (DTW) and support vector machines (SVM). The experiments are performed on data sets with various gesture classes (10-17 classes) recorded from accelerometers on arms, with both real and synthetic crowdsourced annotations. WarpingLCSS has similar or better performance than baselines in absence of noisy annotations. In presence of 60% mislabeled instances, WarpingLCSS outperformed SVM by 22% F1-score and outperformed DTW-based methods by 36% F1-score on average. SegmentedLCSS yields similar performance as WarpingLCSS, however it performs one order of magnitude slower. Additionally, we show to use our methods to filter out the noise in the crowdsourced annotation before training a traditional classifier. The filtering increases the performance of SVM by 20% F1-score and of DTW-based methods by 8% F1-score on average in the noisy real crowdsourced annotations.
Sequence variation in the coding region of the melanocortin-1 receptor gene (MC1R) is not associated with plumage variation in the blue-crowned manakin (Lepidothrix coronata)

Avian plumage traits are the targets of both natural and sexual selection. Consequently, genetic changes resulting in plumage variation among closely related taxa might represent important evolutionary events. The molecular basis of such differences, however, is unknown in most cases. Sequence variation in the melanocortin-1 receptor gene (MC1R) is associated with melanistic phenotypes in many vertebrate taxa, including several avian species. The blue-crowned manakin (Lepidothrix coronata), a widespread, sexually dichromatic passerine, exhibits striking geographic variation in male plumage colour across its range in southern Central America and western Amazonia. Northern males are black with brilliant blue crowns whereas southern males are green with lighter blue crowns. We sequenced 810 bp of the MC1R coding region in 23 individuals spanning the range of male plumage variation. The only variable sites we detected among L. coronata sequences were four synonymous substitutions, none of which were strictly associated with either plumage type. Similarly, comparative analyses showed that L. coronata sequences were monomorphic at the three amino acid sites hypothesized to be functionally important in other birds. These results demonstrate that genes other than MC1R underlie melanic plumage polymorphism in blue-crowned manakins.
An Innovative Approach to Teaching Robotics

Problem solving using LEGOS is a 3-credit hour course offered to any student at Pace University of Pleasantville, New York. The class uses a project-based learning environment, which consists of four design projects. This paper discusses the pedagogical advantages of teaching robotics in a mixed-reality environment with a virtual instructor as opposed to teaching robotics in a traditional laboratory setting