Miracle-dz/UniFAR-FTUs huggingface dataset:
A Community Based Participatory Approach to Training Young Adults to Design and Implement a Social Marketing Framed Lifestyle Intervention on Their College Campus

Background: Using a Community-Based Participatory Research (CBPR) approach may increase the likelihood of relevance and acceptability of the designed intervention, especially on a college campus. Furthermore, recruiting and training college students to design a social marketing framed healthy lifestyle intervention for their peers will allow the intervention to be tailored to the needs of the campus. Objectives: To describe the process of online-course training college students to develop a campus-based, social marketing health promotion intervention. Methods: Four universities recruited current college students (18+ y.o.) to develop a social marketing and environmental intervention (SMEI), which was completed during a 16-week, online/in-person hybrid semester course. Researchers and Extension professionals trained students to design 24 weeks of intervention events that would be implemented the upcoming year. Results: Seventy-eight students enrolled in the study and social marketing and environmental intervention course among the four intervention states (Florida = 30, South Dakota = 8, Tennessee = 13, West Virginia = 27); students were predominately Caucasian (65.8%), females (84.0%), and sophomore status in college (64.9%). Throughout the semester, students assessed their campus environments, set priorities, and developed weekly events and resources needed to implement the intervention on their campuses. By the end of the semester, with researcher support, students had designed 24 weeks of intervention events (marketing, recruiting, and implementation) focusing on nutrition/food/diet, physical activity, stress management, sleep, and time management. These events and resources were catalogued into a digital toolkit of instructions and activities for each week of intervention events. Conclusion: Using a Community-Based Participatory Research approach with college students interested in health allows for the development of an intervention that stems from grass roots efforts and is tailored to the acceptability and needs of their peers.
The influence of emotional carrying capacity and network ethnic diversity on entrepreneurial self-efficacy

Purpose One key determinant of entrepreneurial success is entrepreneurial self-efficacy (ESE), defined as an individual’s confidence in his or her ability to perform entrepreneurial tasks. Whereas previous research has examined how individual and business factors influence ESE, the purpose of this paper is to analyze the influence of entrepreneurs’ social networks upon ESE. The paper examines such relationships for black and white entrepreneurs. Design/methodology/approach In total, 110 black and white entrepreneurs responded to a survey measuring ESE and critical constructs representing elements of the quality of entrepreneurs’ networks: emotional carrying capacity (ECC) and network ethnic diversity. Findings The authors found significant, positive relationships between both ECC and network ethnic diversity on ESE for white entrepreneurs but only found a significant positive relationship between ECC and ESE for black entrepreneurs. Originality/value While research is clear about the role that ESE plays in entrepreneurial activities, few studies have focused on the factors that improve ESE. In the present work, the authors study the role of context by examining how entrepreneurs’ social networks influence ESE. The authors examine such influences for both white and black entrepreneurs to better understand the implications of ethnicity.
The foundation of soundscape lab in Macau

In this paper we present the framework of “Soundscape-Lab”, an emerging research lab in Macau, dedicated to study soundscapes in high-density urban and semi-urban environments. Macau is a special administrative region of China, known for its thriving gaming industry and being one of the most densely populated regions in the world. Despite its small size (30.3km), the territory is quite heterogeneous, featuring islands, continental areas, bridges, beaches, forest, lakes, skyscrapers and an extensive waterfront with almost 40km. Such a variety of locations and human environments in a condensed small area makes Macau a unique setting to conduct large-scale studies, exploring emerging networked technologies for soundscapes monitoring and developing community based acoustic awareness.
IDENTITIES OF SYMMETRY FOR THE HIGHER ORDER q-BERNOULLI POLYNOMIALS

The study of the identities of symmetry for the Bernoulli polynomials arises from the study of Gauss's multiplication formula for the gamma function. There are many works in this direction. In the sense of p-adic analysis, the q-Bernoulli polynomials are natural extensions of the Bernoulli and Apostol-Bernoulli polynomials (see the introduction of this paper). By using the N-fold iterated Volkenborn integral, we derive serval identities of symmetry related to the q-extension power sums and the higher order q-Bernoulli polynomials. Many previous results are spe- cial cases of the results presented in this paper, including Tuenter's classi- cal results on the symmetry relation between the power sum polynomials and the Bernoulli numbers in (A symmetry of power sum polynomials and Bernoulli numbers, Amer. Math. Monthly 108 (2001), no. 3, 258- 261) and D. S. Kim's eight basic identities of symmetry in three variables related to the q-analogue power sums and the q-Bernoulli polynomials in (Identities of symmetry for q-Bernoulli polynomials, Comput. Math. Appl. 60 (2010), no. 8, 2350-2359).
In vitro anti-acetylcholinesterase activity of an aqueous extract of Unicaria tomentosa and in silico study of its active constituents

Depletion of acetylcholine in the central nervous system (CNS) is responsible for memory loss and cognition deficit. Enzyme acetylcholinesterase (AChE) is responsible for destruction of acetylcholine (Ach) in the brain. Many herbal plant extracts have been investigated for their potential use in the treatment of Alzheimer’s disease (AD) by inhibiting AChE and upregulating the levels of Ach. The current study investigated the anti-acetylcholinesterase (AChE) activity of an aqueous extract of Unicaria tomentosa bark which has not been reported so far in the literature. The in vitro study of an aqueous extract of U. tomentosa showed maximum inhibition of 76.2±0.002 % at 0.4mg/ml of final concentration with an IC50 = 0.112 mg/ml. The mechanism of inhibition was elucidated by kinetic study which showed mixed type of inhibition, this might be due to the presence of various phytoconstituents such as oxindole alkaloids present in an aqueous extract. Based on molecular structure of phytoconstituents obtained from U. tomentosa known from the relevant literature, in-silico molecular docking study was performed against AChE protein to validate the results.
Real-time localization of multiple audio sources in a wireless acoustic sensor network

In this work we propose a grid-based method to estimate the location of multiple sources in a wireless acoustic sensor network, where each sensor node contains a microphone array and only transmits direction-of-arrival (DOA) estimates in each time interval, minimizing the transmissions to the central processing node. We present new work on modeling the DOA estimation error in such a scenario. Through extensive, realistic simulations, we show our method outperforms other state-of-the-art methods, in both accuracy and complexity. We present localization results of real recordings in an outdoor cell of a sensor network.
A Dimension Model for Conflict-Free Service Management in Smart Environment Control System

Smart environment control system automatically adjusts the elements in the environment (e.g., temperature, light, wind) according to monitoring results and users' requirements, so it is very important of preventing conflicts within or among service requirements. In this paper, we propose a novel dimension model for conflict-free service management in smart environment. In this model, individual elements in the environment are abstracted into different dimensions, such that multiple dimensions construct a space and each service can be formulated by a service space. By using algebraic logic for space calculation, the conflict detection within a service is simplified into intersection and/or union operations between subspace sets of this service. We further propose the rules of integrating all individual service spaces into a comprehensive service space, which represents the desired system state. Such integration can transfer intra-service conflict detection into inner-service conflict detection, and so simplify the conflict detection process. Theoretical analysis and experiment results show that the proposed dimension based model is effective and efficient for conflict-free service management in smart environment control system.
Implementation and Optimization of Real-Time H.264/AVC Main Profile Encoder on DM648 DSP

Working on digital video encoders still isreally crucial in digital multimedia communicationsystems. One of the most powerful video codec isH.264/AVC. The description of the Main Profile H.264implementation on a DM648 digital signal processor isaimed in this paper. The encoder has been written intwo phases, C-coded software on a desktop computerand the optimized one, which is appropriate for the DSPplatform. Memory and cache tuning methods includingalgorithm parallelism were utilized in this process.Additional fast intra coding mode selection alsoexploited. Finally the encoder is able to encode QCIFsequences at the real-time speed.
Exact duality transformations for sigma models and gauge theories

We present an exact duality transformation in the framework of statistical mechanics for various lattice models with non-Abelian global or local symmetries. The transformation applies to sigma models with variables in a compact Lie group G with global G×G-symmetry (the chiral model) and with variables in coset spaces G/H and a global G-symmetry [for example, the nonlinear O(N) or RPN models] in any dimension d⩾1. It is also available for lattice gauge theories with local gauge symmetry in dimensions d⩾2 and for the models obtained from minimally coupling a sigma model of the type mentioned above to a gauge theory. The duality transformation maps the strong coupling regime of the original model to the weak coupling regime of the dual model. Transformations are available for the partition function, for expectation values of fundamental variables (correlators and generalized Wilson loops) and for expectation values in the dual model which correspond in the original formulation to certain ratios of partition .
Building a taxonomy of integrated palliative care initiatives: results from a focus group

Background Empirical evidence suggests that integrated palliative care (IPC) increases the quality of care for palliative patients and supports professional caregivers. Existing IPC initiatives in Europe vary in their design and are hardly comparable. InSuP-C, a European Union research project, aimed to build a taxonomy of IPC initiatives applicable across diseases, healthcare sectors and systems. Methods The taxonomy of IPC initiatives was developed in cooperation with an international and multidisciplinary focus group of 18 experts. Subsequently, a consensus meeting of 10 experts revised a preliminary taxonomy and adopted the final classification system. Results Consisting of eight categories, with two to four items each, the taxonomy covers the process and structure of IPC initiatives. If two items in at least one category apply to an initiative, a minimum level of integration is assumed to have been reached. Categories range from the type of initiative (items: pathway, model or guideline) to patients’ key contact (items: non-pc specialist, pc specialist, general practitioner). Experts recommended the inclusion of two new categories: level of care (items: primary, secondary or tertiary) indicating at which stage palliative care is integrated and primary focus of intervention describing IPC givers’ different roles (items: treating function, advising/consulting or training) in the care process. Conclusions Empirical studies are required to investigate how the taxonomy is used in practice and whether it covers the reality of patients in need of palliative care. The InSuP-C project will test this taxonomy empirically in selected initiatives using IPC.
Efficiency analysis of IEEE 802.11 protocol with block acknowledge and frame aggregation

The article presents data transmission methods in IEEE 802.11 wireless LAN standard, including transmission efficiency improving methods like block acknowledge and two variants of frame aggregation. On the basis of their operation, an analytical model is derived which allows for estimation of protocol efficiency and effective throughput under perfect conditions for various protocol parameters. With this model, all transmission methods are analysed for their efficiency for two currently used physical layers, namely, OFDM (802.11a/g) and HT (802.11n). The calculation results are presented on graphs and discussed. Finally, so-called throughput upper limit is calculated for all the methods considered in the paper.
An efficient inference in meanfield approximation by adaptive manifold filtering (Machine learning & data mining)

A new method for speeding up the approximate maximum posterior marginal (MPM) inference in meanfield approximation of a fully connected graph is introduced. Weight of graph edges is measured by mixture of Gaussian kernels. This fully connected graph is used for segmentation of image data. The bottleneck of the inference in meanfield approximation is where the similar bilateral filtering is needed for updating the marginal in the message passing step. To speed up the inference, the adaptive manifold high dimensional Gaussian filter is used. As its time complexity is 0(ND), it leads to accelerating the marginal update in the message passing step. Its time complexity is linear and relative to the dimension and number of graph nodes. To improve the accuracy of segmentation, instead of the bilateral filter, the non-local mean filter is used. The proposed inference method is more accurate and needs less computations when compared to other existing methods.
Chromosome breakage after G2 checkpoint release

DNA double-strand break (DSB) repair and checkpoint control represent distinct mechanisms to reduce chromosomal instability. Ataxia telangiectasia (A-T) cells have checkpoint arrest and DSB repair defects. We examine the efficiency and interplay of ATM's G2 checkpoint and repair functions. Artemis cells manifest a repair defect identical and epistatic to A-T but show proficient checkpoint responses. Only a few G2 cells enter mitosis within 4 h after irradiation with 1 Gy but manifest multiple chromosome breaks. Most checkpoint-proficient cells arrest at the G2/M checkpoint, with the length of arrest being dependent on the repair capacity. Strikingly, cells released from checkpoint arrest display one to two chromosome breaks. This represents a major contribution to chromosome breakage. The presence of chromosome breaks in cells released from checkpoint arrest suggests that release occurs before the completion of DSB repair. Strikingly, we show that checkpoint release occurs at a point when approximately three to four premature chromosome condensation breaks and ∼20 γH2AX foci remain.
Effects of music tempos on blood pressure , heart rate , and skin conductance after physical exertion

Past research reveals that types of music varying in tempo, or beats per minute, can have physiological effects on the body. It is shown that fast tempo music of 120-130 beats per minute increases anxiety observed through an increase in blood pressure and heart rate, while slow tempo music of 50-60 beats per minute has the opposite effect on the body (Edworthy and Waring 2010). The present study measures heart rate, blood pressure, and Galvanic skin response (GSR) after two minutes of physical exertion while listening to rock, classical, and no music. Consistent with previous research, it was hypothesized that classical music will have a greater significance on lowering heart rate than rock or no music. Fourteen participants rode stationary bikes three times at two minutes apiece, followed by listening to different music tempos. Rock music produced a higher heart rate than any music tempo, p < . 01. Classical music produced a higher systolic blood pressure than any other music tempo, p < . 01. GSR, diastolic blood pressure and time were unaffected by music tempo, p = . 77, p = . 99, and . 07 respectively. Future research should better control for individual differences and should include a larger sample size. Continued research on this topic could provide support for music therapy for patients who experience anxiety or tension.
Analysis of Effect of User Misbehaviours on the Reservation-Based MAC Protocols in Wireless Communication Networks

SUMMARY In a shared medium communication system, mobile users contend for channel access according to a given set of rules to avoid collisions and achieve efficient use of the medium. If one or more users do not comply with the agree rules either due to selfish or malicious behaviours, they will cause some impacts on the system performance, especially to the well-behaved users. In this paper, we consider the problem of user misbehaviours on the performance of a wireless infrastructure-based network using reservation-based MAC protocols. Key misbehaving strategies possible in such a network are identified and explained. To quantify the impact of these misbehaviours upon the network performance, three different misbehaving scenarios are developed to allow a systematic investigation of each misbehaving strategy. For each scenario, we have derived mathematical formulations for evaluating and analyzing the key performance metrics, i.e., probabilities of success of well-behaved and misbehaved users and the fairness index. Numerical results show that the presence of misbehaviours can cause different levels of damage depending on the misbehavior strategy used. The combined multi-token and increasing permission probability strategies where the misbehaved user selfishly accesses the channel more times and with higher probabilities than allowed is shown to cause the most severe impairment of performance and fairness.
Basic brainstem taste responsivity: effects of perinatal influences

In altricial newborns the gustatory system is fundamental for survival and for establishing mother-litter bonds in the nest environment. The chemosensory experience is initiated in the uterus by the actions of chemical stimulants in the amniotic fluid. After birth, maternal care prevails, and the gustatory system is surprisingly enriched by breast milk suction. In Norway rats at 12 days of age pups make a transition from milk to solid food. At this time, when the gustatory experience is broadly developed, both the receptors and the central nervous system (CNS) sensory relay systems undergo a remarkable reorganization to permit the integration of the sensory and hedonic characteristics of the gustatory cues. The current review analyzes the morphofunctional organization of the taste buds and the afferent projections, the neuronal organization of the first CNS relay, as well as how perinatal food deprivation interferes with the plastic properties of the rostral portion of the brainstem solitary tract nucleus in the rat.
An Approximation of the Integrated Classification Likelihood for the Latent Block Model

Block clustering (or co-clustering or simultaneous clustering) aims at simultaneously partitioning the rows and columns of a data table to reveal homogeneous block structures. This structure can stem from the latent block model which provides a probabilistic modelling of data tables whose block patterns are defined from the row and column classes. For continuous data, each table entry is typically assumed to follow a Gaussian distribution whose parameters are common to all entries belonging to the same block, that is, sharing the same row and column classes. For a given data table, several candidate models are usually examined: they may differ in the numbers of clusters or more generally in the number of free parameters of the model. Model selection then becomes a critical issue, for which the tools that have been derived for model-based one-way clustering need to be adapted. We develop here a criterion based on an approximation of the Integrated Classification Likelihood (ICL) of block models, and propose a BIC-like variant following a similar form. The proposed criteria are assessed on simulated data, where their performances are shown to be fairly reliable for medium to large data tables with well-separated clusters.
Comparison of the Acute Inflammatory Response of Two Commercial Platelet-Rich Plasma Systems in Healthy Rabbit Tendons

Background: Numerous studies have shown platelet-rich plasma (PRP) preparations differ with respect to the inclusion of certain blood components, which may affect the host’s cellular response. Hypothesis: This study evaluated the inflammatory effect of Biomet GPS III leukocyte-rich PRP (LR-PRP) versus MTF Cascade leukocyte-poor PRP (LP-PRP) after intratendinous injection in an animal model. The authors anticipated that LR-PRP would incite a greater acute inflammatory response than LP-PRP. Study Design: Controlled laboratory study. Methods: A total of 17 skeletally mature New Zealand White rabbits were tested. In all cases, healthy patellar tendons were treated. In the control animals, one patellar tendon was injected with 2 mL autologous whole blood, and the other was injected with 2 mL sterile saline. Seven total tendons were injected with whole blood, and 7 tendons were injected with saline. In the experimental animals, one patellar tendon was injected with 2 mL LR-PRP, and the other was injected with 2 mL LP-PRP. Ten tendons were injected with LR-PRP, and 10 tendons were injected with LP-PRP. Animals were euthanized at 5 or 14 days after injection. Tendons were harvested and stained using hematoxylin and eosin and scored semi-quantitatively for total white blood cells (WBCs), mononuclear cells (macrophages and lymphocytes), polymorphonuclear cells (PMNs), vascularity, fiber structure, and fibrosis. Results: At 5 days after injection, tendons treated with LR-PRP had significantly greater overall tendon scores (6.3 ± 1.79 vs 1.8 ± 1.64, P = .012), as well as mean scores for fiber structure (1.4 ± 0.22 vs 0.50 ± 0.50, P = .012), denoting disrupted composition, total WBCs (1.1 ± 0.89 vs 0.10 ± 0.22, P = .014), mononuclear cells (macrophages and lymphocytes) (0.80 ± 0.45 vs 0.10 ± 0.22, P = .014), vascularity (1.7 ± 0.27 vs 0.80 ± 0.16, P = .008), and fibrosis (1.0 ± 0.35 vs 0.3 ± 0.45, P = .037) compared with tendons treated with LP-PRP. Otherwise, there were no significant differences in mononuclear cells (P = .590), PMN cells (P = 1.00), total WBCs (P = .811), vascularity (P = .650), or total tendon score (P = .596) in any of the treatment groups at 14 days. Conclusion: Compared with leukocyte-poor Cascade PRP, leukocyte-rich GPS III PRP causes a significantly greater acute inflammatory response at 5 days after injection. There is no significant difference in the inflammatory response or cellularity regardless of the injection type at 14 days after intratendinous injection. Clinical Relevance: Platelet-rich plasma injections are frequently prepared using commercial systems and are administered for clinical treatment of chronic tendinopathy. It is important to characterize the cellular responses elucidated by different injection preparations to further understand their effect on tissue healing and aid clinical decision making. Future investigations are necessary to apply these findings to the clinical setting.