Miracle-dz/UniFAR-FTUs huggingface dataset:
Interpolation and Sampling on Riemann Surfaces

We find sufficient conditions for a discrete sequence to be interpolating or sampling for certain generalized Bergman spaces on open Riemann surfaces. As in previous work of Bendtsson, Ortega-Cerda, Seip, Wallsten and others, our conditions for interpolation and sampling are as follows: If a certain upper density of the sequence has value less that 1, then the sequence is interpolating, while if a certain lower density has value greater than 1, then the sequence is sampling. However, unlike previous work, we construct an infinite number of densities, naturally parameterized by $L^1_{loc} ([0,\infty))$. These densities provide (different) sufficient conditions for interpolation and sampling. As a consequence of this flexibility, we obtain new results even in the classical cases of the Bargmann-Fock space (of entire functions integrable with respect to a Gaussian weight) and the classical Bergman space of L^2 holomorphic functions on the unit disk.
Developing the Network Awareness Construct: Evidence Supporting the Ability to Understand Social Situations

We report on an experiment designed to test the relationship between a new construct -- network awareness -- and performance behavior measured as the ability to understand social network dynamics during novel social situations. The experiment used short video vignettes of varying social complexity as stimuli, and results suggest that the combination of self-monitoring and network awareness traits interact to predict performance. Further, participants scoring high in network awareness also demonstrated more certainty in their evaluations of novel social situations, as expected. Although extant research has demonstrated a correlation between self-reported network awareness and perceived outcomes, this is the first study to demonstrate behavioral outcomes in an experimental setting. Results also offer additional discriminant and convergent validity to the network awareness construct, and are discussed in terms of expansive online computer-mediated social networks and strategic behavior in groups.
Using mRNA secondary structure predictions improves recognition of known yeast functional uORFs

We are interested in using inductive logic programming ILP)to generate rules for recognising functional upstream open reading frames (uORFs) in the yeast Saccharomyces cerevisiae. This paper empirically investigates whether providing an ILP system with predicted mRNA secondary structure can increase the performance of the resulting rules. Two sets of experiments, with and without mRNA secondary structure predictions as part of the background knowledge, were run. For each set, stratified 10-fold cross-validation experiments were run 100 times, each time randomly permuting the order of the positive training examples, and the performance of the resulting hypotheses were measured. Our results demonstrate that the performance of an ILP system in recognising known functional uORFs in the yeast S.cerevisiae significantly increases when mRNA secondary structure predictions are added to the background knowledge and suggest that mRNA secondary structure can affect the ability of uORFs to regulate gene expression.
Development of the FitSight Fitness Tracker to Increase Time Outdoors to Prevent Myopia

Purpose To develop a fitness tracker (FitSight) to encourage children to increase time spent outdoors. To evaluate the wear pattern for this tracker and outdoor time pattern by estimating light illumination levels among children. Methods The development of the FitSight fitness tracker involved the designing of two components: (1) the smartwatch with custom-made FitSight watch application (app) to log the instant light illuminance levels the wearer is exposed to, and (2) a companion smartphone app that synchronizes the time outdoors recorded by the smartwatch to smartphone via Bluetooth communication. Smartwatch wear patterns and tracker-recorded daily light illuminance levels data were gathered over 7 days from 23 Singapore children (mean ± standard deviation age: 9.2 ± 1.4 years). Feedback about the tracker was obtained from 14 parents using a three-level rating scale: very poor/poor/good. Results Of the 14 parents, 93% rated the complete “FitSight fitness tracker” as good and 64% rated its wearability as good. While 61% of 23 children wore the watch on all study days (i.e., 0 nonwear days), 26% had 1 nonwear day, and 4.5% children each had 3, 4, and 5 nonwear days, respectively. On average, children spent approximately 1 hour in light levels greater than 1000 lux on weekdays and 1.3 hours on weekends (60 ± 46 vs. 79 ± 53 minutes, P = 0.19). Mean number of outdoor “spurts” (light illuminance levels >1000 lux) per day was 8 ± 3 spurts with spurt duration of 34 ± 32 minutes. Conclusion The FitSight tracker with its novel features may motivate children to increase time outdoors and play an important role in supplementing community outdoor programs to prevent myopia. Translational Relevance If the developed noninvasive, wearable, smartwatch-based fitness tracker, FitSight, promotes daytime outdoor activity among children, it will be beneficial in addressing the epidemic of myopia.
Research on integrate robust control Method for High-Power Variable-Speed Governor of Diesel Engine by loop-shaping theory

This paper present integrate robust control Method for High-power Variable-Speed Governor of Diesel Engine by loop-shaping theory. Diesel Engine working process and classical frequency control theory are combined to construct frequency restriction of engine speed; frequency compensator is utilized to improve the robustness of Multiplicative Perturbations and disturbance; loop-shaping method is applied to design the Variable-Speed controller of Diesel Engine. Simulation and Bench test result show that method has cutting off characteristic for high-frequency excitation from Engine Working Process and achieve lower sensitivity against the disturbances from load of road spectrum in low frequency range. It has performance robustness against Multiplicative Perturbations and disturbance. Compared with original controller, this method improves the control precision 83.6% and disturbance respond speed 22.7%.
Bouc–Wen Modeling and Inverse Multiplicative Structure to Compensate Hysteresis Nonlinearity in Piezoelectric Actuators

A new approach to compensate the strong hysteresis nonlinearity in piezoelectric materials is proposed. Based on the inverse multiplicative scheme, the approach avoids models inversion as employed in existing works. The compensator is therefore simple to implement and does not require additional computation as soon as the direct model is available. The proposed compensation technique is valuable for hysteresis that are modeled with the Bouc-Wen set of equations.
High capacity optical communication systems using mode division multiplexing

With the fast progress in academic research, the transmission capacity over the single mode fiber (SMF) has been demonstrated more than 100 Tb/s, together with wavelength division multiplexing (WDM), polarization division multiplexing (PDM), coherent detection, and higher-order modulation formats. However, 100 Tb/s is considered as the capacity limit of SMF, which is constrained by the fiber nonlinearity and optical signal to noise ratio. In this paper, using mode division multiplexing combined with coherent WDM PDM-DFTs-OFDM-32QAM, we successfully demonstrate 200-Tb/s (375 × 3 × 178.125-Gb/s) signal over 1-km few mode fiber (FMF) employing both C- and L-bands with 25-GHz channel spacing, achieving a spectral efficiency of 21.375-bit/s/Hz in both C/L-band.
Medical micro-robot navigation using image processing - blood vessel extraction and X-ray calibration

Nowadays, the disease related to blood vessel is significantly increasing day by day. Some conventional methods with surgery knife are not suitable anymore due to their precision considering the tiny size of the blood vessel. On this account, to treat intravascular diseases, controllable wireless micro-robot is developed as a feasible alternative for medical treatment. To guide this kind of a micro-robot, at pre-operative stage, it is necessary to extract the blood vessel and also to create the pathway for the micro-robot. For the fast extraction and visualization of the blood vessel, in this work, the centerline of blood vessel is extracted and used. The procedure is as following. First, Computed Tomography (CT) images of patients are captured and saved as DICOM file. Then, we extracted the center point of the blood vessel in all DICOM slices one by one. Then, the extracted center points are connected as the centerline of the blood vessel. In addition, we also performed on X-ray calibration since it is required to extract the 3D position of the micro-robot using dual X-ray system. This on-going work aims to implement the real-time navigation system for the intravascular micro-robot, and expected to improve the blood vessel extraction speed and its accuracy.
Examining the Mediating Role of Experience Quality in a Model of Tourist Experiences

Abstract Although research has shown that performance quality leads to experience quality, the mediating role of experience quality in the effect of performance quality on overall satisfaction and revisit intentions has not been fully investigated. In this paper, satisfaction is conceived within the context of a tourism experience that is cumulative or sequential in nature. Four major stages of this experience are identified: performance quality, experience quality, overall satisfaction, and revisit intentions. Using data from a tourist survey in Northeast Ohio, the mediating role of experience quality is examined. Results indicate that tourist experience is cumulative in the sense that performance quality leads to experience quality, which in turn contributes to satisfaction and revisit intentions. In addition, experience quality fully mediates the relationship between performance quality and overall satisfaction. Thus, promoters should particularly emphasize the experience quality dimensions, which benefits tourists are likely to obtain when visiting the attraction.
Effects of Age and Sex in Mental Rotation and Spatial Learning from Virtual Environments

The study examined the age and sex effects in spatial learning and mental rotation in 58 adults. We developed two new spatial learning tasks using virtual reality (VR): a navigation task and a pointing task. The results show that younger adults outperformed older adults in both virtual tasks but not in mental rotation. Males outperformed females in the navigation task and mental rotation. We conclude that age generally drives differences in spatial learning, and that sex drives differences in spatial abilities, which were especially related to ability in navigating through virtual environments.
Structural Characterization of the Human Eukaryotic Initiation Factor 3 Protein Complex by Mass Spectrometry*S

Protein synthesis in mammalian cells requires initiation factor eIF3, an ∼800-kDa protein complex that plays a central role in binding of initiator methionyl-tRNA and mRNA to the 40 S ribosomal subunit to form the 48 S initiation complex. The eIF3 complex also prevents premature association of the 40 and 60 S ribosomal subunits and interacts with other initiation factors involved in start codon selection. The molecular mechanisms by which eIF3 exerts these functions are poorly understood. Since its initial characterization in the 1970s, the exact size, composition, and post-translational modifications of mammalian eIF3 have not been rigorously determined. Two powerful mass spectrometric approaches were used in the present study to determine post-translational modifications that may regulate the activity of eIF3 during the translation initiation process and to characterize the molecular structure of the human eIF3 protein complex purified from HeLa cells. In the first approach, the bottom-up analysis of eIF3 allowed for the identification of a total of 13 protein components (eIF3a–m) with a sequence coverage of ∼79%. Furthermore 29 phosphorylation sites and several other post-translational modifications were unambiguously identified within the eIF3 complex. The second mass spectrometric approach, involving analysis of intact eIF3, allowed the detection of a complex with each of the 13 subunits present in stoichiometric amounts. Using tandem mass spectrometry four eIF3 subunits (h, i, k, and m) were found to be most easily dissociated and therefore likely to be on the periphery of the complex. It is noteworthy that none of these four subunits were found to be phosphorylated. These data raise interesting questions about the function of phosphorylation as it relates to the core subunits of the complex.
How Initial Plans Mediate the Expansion and Resolution of Options in Writing

Effects of a period of planning prior to writing (“pre-writing”) and of the writing medium on the content and quality of writing were examined in two between-subjects experiments. In Experiment 1, subjects wrote short narratives either immediately after instruction or following a 5-minute pre-writing period; half of each group used pen and paper; the other half used a word processor. Both pre-writing and word processing resulted in more changes to text content, resulting in compositions that were judged as more sophisticated and creative. Experiment 2 demonstrated that pre-writing using a written outline decreases content revisions compared to non-written pre-writing. Verbal protocols indicated that non-written pre-writing was focused on content generation, whereas outlines were associated with more conceptual planning. To account for these data we propose several additions to the Hayes and Flower (1980) cognitive model of the writing process. Both pre-writing and word processing are viewed as expanding the alternatives to be considered, i.e. “option expansion”. During writing the options are resolved during pauses and through changes to text content, i.e. “option resolution”.
Online estimation of rollator user condition using spatiotemporal gait parameters

The assistance to people during rehabilitation has to be adapted to their needs. Too little help can lead to frustration and stress in the user; an excess of help may lead to low participation and loss of residual skills. Robotic rollators may adapt assistance. The main challenge to cope with this issue is to estimate how much help is needed on the fly, because it depends not only on the person condition, but also on the specific situation that they are negotiating. Clinical scales provide a global condition based estimation, but no local estimator based on punctual needs. Condition also changes in time, so clinical scales need to be recalculated again and again. In this paper we propose a novel approach to estimate users' condition in a continuous way via a robotic rollator. Our work focuses on predicting the value of the well known Tinetti Mobility test from spatiotemporal gait parameters obtained from our platform while users walk. This prediction provides continuous insight on the condition of the user and could be used to modify the amount of help provided. The proposed method has been validated with 19 volunteers at a local hospital that use a rollator for rehabilitation. All volunteers presented some physical or mental disabilities. Our results successfully show a high correlation of spatiotemporal gait parameters with Tinetti Mobility test gait (R2 = 0.7) and Tinetti Mobility test balance (R2 = 0.6).
Electrical analysis of NRD components by a novel eigenvalue-tracking technique

This paper presents a novel technique for the calculation of the proper modes of 2D or 3D nonradiating dielectric (NRD) components for mm-wave applications. The novelty of this technique is the use of an integral equation method, in conjunction with a special algorithm for solving the resulting homogeneous matrix problem. This algorithm consists in the tracking of the matrix eigenvalues in the complex plane, when varying either the frequency or the mode propagation constant, and proved to be faster and more reliable than standard approaches, based on the direct search of the determinant zeros. Its effectiveness is demonstrated through the determination of the dispersion diagram of an NRD guide and the calculation of the resonance frequencies of a dielectric resonator.
In vitro activities of new oral beta-lactams and macrolides against Campylobacter pylori

The in vitro activities of amoxicillin, cefuroxime, ceftetrame, cefetamet, cefixime, tigemonam, erythromycin, roxithromycin, and dirithromycin against 30 clinical isolates of Campylobacter pylori were determined by an agar dilution technique. Roxithromycin and amoxicillin (MICs for 90% of isolates tested, 0.01 and 0.06 micrograms/ml, respectively) were the most active antibiotics tested, but all strains were susceptible to all antimicrobial agents tested.
TV Sportscasters 1, Burnout 0: Resources Sideline the Job Stressors of Sports Broadcasters

Using the Maslach Burnout Inventory-General Survey, this study determined that about 75% of 272 U.S. television sportscasters were not experiencing a great deal of burnout. However, they did indicate that job demands, role overload and work-family conflict were predictors of burnout’s exhaustion variable. Conservation of Resources theory suggests that during difficult times individuals rely upon stored resources but demands can deplete those resources. In this study, job satisfaction and station support acted as resources.
Adenoviral Gene Transfer of PLD1-D4 Enhances Insulin Sensitivity in Mice by Disrupting Phospholipase D1 Interaction with PED/PEA-15

Over-expression of phosphoprotein enriched in diabetes/phosphoprotein enriched in astrocytes (PED/PEA-15) causes insulin resistance by interacting with the D4 domain of phospholipase D1 (PLD1). Indeed, the disruption of this association restores insulin sensitivity in cultured cells over-expressing PED/PEA-15. Whether the displacement of PLD1 from PED/PEA-15 improves insulin sensitivity in vivo has not been explored yet. In this work we show that treatment with a recombinant adenoviral vector containing the human D4 cDNA (Ad-D4) restores normal glucose homeostasis in transgenic mice overexpressing PED/PEA-15 (Tg ped/pea-15) by improving both insulin sensitivity and secretion. In skeletal muscle of these mice, D4 over-expression inhibited PED/PEA-15-PLD1 interaction, decreased Protein Kinase C alpha activation and restored insulin induced Protein Kinase C zeta activation, leading to amelioration of insulin-dependent glucose uptake. Interestingly, Ad-D4 administration improved insulin sensitivity also in high-fat diet treated obese C57Bl/6 mice. We conclude that PED/PEA-15-PLD1 interaction may represent a novel target for interventions aiming at improving glucose tolerance.
A Faith-Based Intergenerational Health and Wellness Program

ABSTRACT The purpose of this program was to create an inter-generational, faith-based health and wellness program for kinship caregivers and their families (i.e., grandparents and other relatives who are raising children andtheir children's children). The program took place over a 12-week period in a faith-based setting and focused on education in (a) Health, Exercise, Nutrition and Stress Management; (b) Parenting Education; and (c) Religious Practices (such as worship, scripture, and prayer). Each week's session included lunch, which modeled a healthy, easy to prepare, and cost-effective meal. Both quantitative and qualitative measurement techniques were employed. The number of participants completing both pre-and post-tests was small and therefore not valid for statistical tests of significance. Nonetheless, the quantitative findings of the scales viewed in combination with the qualitative findings of the focus groups, participant observation and interviews provide some helpful indicators of the program's outcomes and effectiveness. Participants in the health and wellness program reported that they became more aware of resources in the community, used nutritional information provided, noticed positive changes in the home, felt a feeling of connectedness with others in the program, used new stress management techniques, gained a greater understanding of their grandchildren and appreciated the social support the program provided. The experience of providing a faith-based intergenerational health and wellness program was rewarding for caregivers, children and staff.
Prosthetic hands from Touch Bionics

Purpose – The purpose of this paper is to study the innovative design of prosthetic hands now in production from a Scottish spin‐off company.Design/methodology/approach – The novel features are described, followed by the details of the mechanical construction and the available grip patterns. The benefits of the modular design are explained, and the function and construction of a skin‐like covering are explored. The clinical network supporting the prosthesis is briefly outlined.Findings – The design allows patients to achieve many functional and natural‐looking hand configurations from simple “open” and “close” signals. Miniature motors and gearboxes allow independent movement of each digit, and an integral microprocessor translates electric signals from the forearm to control the movements of the hand. Stall detection ensures that no finger exerts excessive force or wastes power. Artificial skin can be very realistic, with imitation fingernails, hairs and pores. The lifelike prosthesis helps the patient e.
On the usefulness of lexical and syntactic processing in polarity classification of Twitter messages

Millions of micro texts are published every day on Twitter. Identifying the sentiment present in them can be helpful for measuring the frame of mind of the public, their satisfaction with respect to a product, or their support of a social event. In this context, polarity classification is a subfield of sentiment analysis focused on determining whether the content of a text is objective or subjective, and in the latter case, if it conveys a positive or a negative opinion. Most polarity detection techniques tend to take into account individual terms in the text and even some degree of linguistic knowledge, but they do not usually consider syntactic relations between words. This article explores how relating lexical, syntactic, and psychometric information can be helpful to perform polarity classification on Spanish tweets. We provide an evaluation for both shallow and deep linguistic perspectives. Empirical results show an improved performance of syntactic approaches over pure lexical models when using large training sets to create a classifier, but this tendency is reversed when small training collections are used.
Transcriptional regulation via TF-modifying enzymes: an integrative model-based analysis

Transcription factor activity is largely regulated through post-translational modification. Here, we report the first integrative model of transcription that includes both interactions between transcription factors and promoters, and between transcription factors and modifying enzymes. Simulations indicate that our method is robust against noise. We validated our tool on a well-studied stress response network in yeast and on a STAT1-mediated regulatory network in human B cells. Our work represents a significant step toward a comprehensive model of gene transcription.
LOG-PERIODIC DIPOLE ARRAY FOR ULTRA-WIDEBAND APPLICATIONS

Abstract—A printed Log-periodic dipole array (LPDA) is presented, operating over the C, X and Ku bands. The antenna feeding structure consists of two coaxial cables, in order to realize an infinite balun which provides the required broadband input matching. The second coaxial cable mirrors the first one, connected to the antenna input, and is capable of both stabilizing the antenna phase center and improving the radiation pattern. The antenna has been designed using CST Microwave Studio, with an useful frequency range of 4–18 GHz. Moreover, both simulated and measured results show that the proposed LPDA can be successfully used as an Ultra Wideband Antenna in the range 4.25–13.25 GHz, in which its phase center remains stable.