Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Anticipatory Shooting Strategy on Performance Consistency in Skilled Elite Archer

PURPOSE: This study examined the effect of anticipatory control strategies on stable upright posture and consistency in archery performance among skilled elite archers.METHODS: Nine skilled archery players participated in this study and performed repeated shooting trials under two different shooting conditions: clicker and non-clicker. In the clicker condition, archers shot in response to clicker signals, whereas in the non-clicker condition, they used an anticipatory strategy to determine shooting time in a self-paced manner without using the clicker. A motion capture system with six infrared cameras was used to measure the coordinates of the bow and archers’ hands, which were then used to calculate the aiming precision index and draw-related variables. Electromyography of the lower leg muscles and the center of pressure (COP) were also analyzed for a short period immediately before release to determine the differences in anticipatory postural adjustments (APAs) between the two shooting conditions.RESULTS: The non-clicker condition resulted in a relatively short drawing duration and better precision index. The COP speed rapidly increased immediately before the release (i.e., APAs), and the rate of increase was lower in the non-clicker condition than in the clicker shooting condition. Furthermore, smaller APAs were significantly correlated with better-aiming precision in the non-clicker condition.CONCLUSION: These findings suggest that using an anticipatory strategy rather than reacting to a clicker can improve archery performance consistency by reducing APA and ensuring a stable shooting posture. This strategy can be used in archery training to predict clicker signals during the aim-release stage.
A Federated Learning-Based Framework for Ride-Sourcing Traffic Demand Prediction

Accurate short-term ride-sourcing demand prediction is vital for transportation operations, planning, and policy-making. With the models developed from data based on individual ride-sourcing companies to the joint models with data from multiple ride-sourcing companies, the prediction performance of the proposed models is enhanced significantly. However, the privacy issues of these models become a problem. Raw data collected from individual companies could cause business concerns and data privacy issues. In this article, we propose a Federated Learning (FL) based framework for traffic demand prediction (FedTDP), to solve this problem without sacrificing the prediction performance. In our framework, the model can encapsulate the spatial and temporal correlation of traffic demand data via LSTM and GCN respectively. Moreover, by associating FL with the spatio-temporal model, no raw data is uploaded to the centralized server, and only model parameters are required. Furthermore, a Shapley value-based reward mechanism is proposed to evaluate the contribution of ride-sourcing companies and can be used as a means to distribute rewards accordingly. Finally, a real-world case study of Hangzhou City, China, is conducted. More than 16 million real-world ride-sourcing requests collected from 8 ride-sourcing companies are used, covering most of the ride-sourcing travel demand across the city. The case study shows that the FL-based spatio-temporal model outperforms several well-established prediction models while preserving data privacy. It demonstrates the effectiveness and potential of our proposed framework. Some discussions related to the real-world implementations of the Shapley value-based reward mechanism are also given in the article.
Taking the spatialization of heterodox economics to the next level. States, cities and money

In this note, I argue that the search for a better articulation between financial geography and heterodox economics can benefit from an explicit focus on the relations between states, cities and money. After illustrating some important insights derived from the cross-fertilization between financial geography and monetary heterodox economics, I discuss how the specific inclusion of cities in midlevel theories, which articulate broader economic and geographical thinking on money and space with empirical work on urban restructuring, allows this research agenda to both gain conceptual strength and potential political impact.
Bayesian Inference of Causal Effects for an Ordinal Outcome in Randomized Trials

Abstract In randomized trials in which two treatment arms are compared with a binary outcome, the causal effect can be identified by assuming that the two treatment arms are exchangeable. In trials with an ordinal outcome, which is categorized as more than two, the causal effect can be identified by assuming that the potential outcomes are independent and that the two treatment arms are exchangeable. In this article, we propose a Bayesian approach to causal inference that does not rely on these two assumptions. To achieve this purpose, we use a randomization-based approach and response type. Then, the likelihood function is derived by physical randomization in which subjects who belong to a response type are randomly assigned to the treatment or control, with no modeling assumption on the outcome. Our approach can derive not only the posterior distribution of the causal effect but also that of the number of subjects in each response type. The proposed approach is illustrated with two examples from randomized clinical trials.
A abordagem de Nyman-Beurling para a hipótese de Riemann

The Riemann hypothesis is considered the most important open problem of pure mathematics, which states that the non-trivial zeros of the Riemann zeta function lie on the “critical line”. This problem has been studied for about a century and a half, but there is still no proof for it. The main purpose of this thesis is to present some Hilbert space reformulations of this conjecture, mainly the Nyman-Beurling Theorem and its respective refinement by Baez-Duarte. Some other recent equivalences of the Riemann hypothesis will also be presented.
Computation of rational parameter dependent Lyapunov functions for LPV systems

In this contribution, we present a computational method for the global stability analysis of linear parameter varying systems under rational parameter dependence. Using the linear fractional representation (LFR) of the system equation, we generate a set of rational basis functions, which will give the structure for the parameterized rational Lyapunov function. Based on the earlier results of Trofino and Dezuo (2013), affine parameter dependent linear matrix inequalities (LMIs) are formulated to ensure the Lyapunov conditions and hence asymptotic stability.
Evaluating the Efficacy of a Small Interfering Ribonucleic Acid Molecule, Givosiran, in Treating Acute Intermittent Porphyria: A Systematic Review

Acute intermittent porphyria (AIP) is a severe multiorgan dysfunction disorder that can be fatal if not treated promptly. The newest treatment modality involving small interfering RNA (siRNA) molecules, givosiran, is administered for AIP. Although it has very beneficial effects in treating attacks of AIP, it comes with an extensive side effect profile that is not fully understood or studied. Hence, this novel drug model treatment's risk-benefit evaluation is still necessary. For relevant medical literature, we explored medical databases such as PubMed/Medline, PubMed Central, Cochrane Library, Internet Archive Scholar, Google Scholar, and Wiley Online Library. The selected papers were screened based on eligibility criteria and filtered through quality appraisal tools, and 13 finalized research papers were included in the study. Of the 13 identified papers, three were clinical trials, and 10 were review articles. The selected papers all discussed the effectiveness and side effects of givosiran in acute and recurrent attacks of AIP. The research papers showed decreased rates of acute attacks of AIP with givosiran and terminating recurrent attacks. But there are certain non-serious side effects, like fatigue and nausea. Also, there are some severe side effects, like pain. There is limited information on renal and liver function impairment using givosiran and the use of givosiran in patients with kidney and liver disease, for which further studies are required.
Enumerative Geometry of Calabi-Yau 5-Folds

Gromov-Witten theory is used to define an enumerative geometry of curves in Calabi-Yau 5-folds. We find recursions for meeting numbers of genus 0 curves, and we determine the contributions of moving multiple covers of genus 0 curves to the genus 1 Gromov-Witten invariants. The resulting invariants, conjectured to be integral, are analogous to the previously defined BPS counts for Calabi-Yau 3 and 4-folds. We comment on the situation in higher dimensions where new issues arise. Two main examples are considered: the local Calabi-Yau P^2 with balanced normal bundle 3O(-1) and the compact Calabi-Yau hypersurface X_7 in P^6. In the former case, a closed form for our integer invariants has been conjectured by G. Martin. In the latter case, we recover in low degrees the classical enumeration of elliptic curves by Ellingsrud and Stromme.
Potential Toxic elements in shellfish from three rivers in Niger Delta, Nigeria: bioaccumulation, dietary intake, and human health risk assessment

Human health risks associated with the consumption of three shellfish (Penaeus monodon, Crassostrea rhizophorae, and Tympanostomus fuscatus) harvested from the Buguma, Krakrama, and Bonny Rivers in the Niger Delta region were evaluated in this study. The bioaccumulation of potential toxic elements (PTEs) [Arsenic (As), Cadmium (Cd), Chromium (Cr), Lead (Pb), and Nickel (Ni)] was analyzed using atomic absorption spectrophotometry (AAS). The pollution index (PPI), estimated daily intake (EDI), target hazard quotient (THQ), total hazard index (HI), target cancer risk (CR), and total cancer risk (TCR) were evaluated for potential human health risks. The bioaccumulation levels of PTEs in shellfish samples followed the order: Ni > Cr > Pb > Cd > As and were above standard recommended limits except for inorganic As levels observed in T. fuscatus and P. monodon samples from Krakrama and Bonny and C. rhizophorae from Bonny river. The EDI values for iAs, Cr, and Ni were lower than the tolerable daily intake (TDI), however, the EDI of Cd for children in P. monodon (4.6E-03 mg kg-1day-1), T. fuscatus (1.7E-03 mg kg-1day-1) and C. rhizophorae (1.4E-03 mg kg-1day-1) from Buguma were higher than the TDI value (8.00E-04 mg kg-1day-1). The HI values were above 1. The total cancer risk (TCR) values of all analyzed PTEs for all the shellfish species from the rivers for children and adults ranged from 8.69E-04 to 2.47E-03 and 1.86E-03 to 5.30E-03 respectively and these were higher than the priority risk level (1E-04), hence, the need to monitor shellfish consumption in the study area.
Impacts of Assimilating Smartphone Pressure Observations on Forecast Skill during Two Case Studies in the Pacific Northwest

Over a half-billion smartphones are now capable of measuring atmospheric pressure, potentially providing a global surface observing network of unprecedented density and coverage. An earlier study by the authors described an Android app, uWx, that served as a test bed for advanced quality control and bias correction strategies. To evaluate the utility and quality of the resulting smartphone pressure observations, ensemble data assimilation experiments were performed for two case studies over the Pacific Northwest. In both case studies, smartphone pressures improved the analyses and forecasts of assimilated and nonassimilated variables. In case I, which considered the passage of a front across the region, cycled smartphone pressure assimilation consistently improved 1-h forecasts of the altimeter setting, 2-m temperature, and 2-m dewpoint. During a postfrontal period, cycled smartphone pressure assimilation improved mesoscale forecasts of hourly precipitation accumulation. In case II, which considered a major coastal windstorm, cycling experiments assimilating smartphone pressures improved 10-m wind forecasts as well as the predicted track and intensity. For both cases, free-forecast experiments initialized with smartphone data produced forecast improvements extending several hours, suggesting the utility of crowdsourced smartphone pressures for short-term numerical weather prediction.
How are bodily states experienced, differentiated and translated into symptoms? A qualitative study

Abstract Substantial research in symptom perception demonstrates symptoms are influenced by a wide range of psychological factors. However, there is limited understanding of the broader milieu of bodily states within which symptoms exist, including emotions, sensations and “pre-symptoms”. Furthermore, little is known about how bodily states are experienced and translated into symptoms. Semi-structured interviews with 12 participants explored how individuals experience, describe and understand their bodily states in addition to how bodily states are translated into symptoms and how this transition was experienced. Thematic Analysis described four main themes in relation to; i) “The qualia of bodily states”, individuals’ description and understanding of how bodily states “feel”; ii) “Attending to bodily states”, how attention to bodily states could differ between individuals and in certain contexts; iii) “Becoming symptoms”, understanding of normality and its deviations and finding meaning could play a role in transition of states to symptoms; iv)“Reifying symptoms”, how individuals communicated, verbally and non-verbally, abstract lived experience of bodily states to the self and others. A transcending theme, “A series of thresholds” encompassed how bodily states surpass a threshold to become a symptom and the involvement of individual differences such as attention, emotions, expectations and finding meaning. Symptoms may arise when a bodily state surpasses a series of thresholds which may be lowered or raised. There is a critical need to consolidate understanding of bodily states and symptoms within a research context and for greater appreciation of the nuanced, complex and varied nature of bodily states beyond “symptoms”.
Genetic variability among populations of Crysomya megacephala (Diptera: calliphoridae) in India.

Sarita Agrawal. Genetic variation at four gene enzyme systems was analyzed in Crysomya megacephala. The three enzymes namely acid phophatase (ACPH), aldehyde oxidase(AO),glucose-6-phosphate dehydrogenase (G6PD) and alcohol dehydrogenase (ADH) were found to express activity only in a single zone indicating that they are encoded at single locus . Alcohol dehydrogenase was monomorphic while acid phoshatase and glucose-6-phosphate dehydrogenase were polymorphic.
Positive Experience of Parkinson’s Disease Family Caregivers and why is this Significant in COVID Times?

BACKGROUND: The importance of quality informal care and support for those with long-term conditions such as Parkinson’s disease is vital particularly during the COVID pandemic. Enhancing the positive aspects of caring is invaluable to support caregivers morale and in managing health system costs. AIM: This narrative review explores the literature related to positive experiences perceived by the family caregiver of a person with Parkinson’s Disease in the home setting. METHOD: Studies were selected from seven electronic databases Studies were selected from seven electronic databases using the systematic search strategy and appropriate search terms. Joanna Briggs Institute critical appraisal tools were used to assess the quality of the studies. RESULTS: From 2049 studies identified, 18 studies were found. Five themes emerged: personal benefits and accomplishments, the quality of caregivers’ dyadic relationship, the gratitude experienced, increased family cohesion, and the deepening of caregivers’ spiritual experience. CONCLUSION: These findings will enable development of more appropriate plans and support from health-care systems to enhance the positive experiences of voluntary home caregivers and reduce overall costs.
Impact Assessment of Assimilating NASA’s RapidScat Surface Wind Retrievals in the NOAA Global Data Assimilation System

AbstractThe National Aeronautics and Space Administration (NASA) RapidScat scatterometer on board the International Space Station (ISS) provides observations of surface winds that can be assimilated into numerical weather prediction (NWP) forecast models. In this study, the authors assess the data quality of the RapidScat Level 2B surface wind vector retrievals and the impact of those observations on the National Oceanic and Atmospheric Administration (NOAA) Global Forecast System (GFS). The RapidScat is found to provide quality measurements of surface wind speed and direction in nonprecipitating conditions and to provide observations that add both information and robustness to the global satellite observing system used in NWP models. The authors find that with an assumed uncertainty in wind speed of around 2 m s−1, the RapidScat has neutral impact on the short-range forecast of surface wind vectors in the tropics but improves both the analysis and background field of surface wind vectors. However, the de.
COVID-19 PANDEMIC AND ENTREPRENEURSHIP DEVELOPMENT IN NIGERIA: BUSINESS TRAGEDY AND OPPORTUNITIES AT A GLANCE

The tragedy that awaited the world at the dawn of 2020 with the surfacing of the new COVID-19 pandemic was recognized as deadliest in recent history considering from the standpoint of its socio-economic and political disruptions worldwide. No country was left untouched by the pandemic as even in Nigeria, businesses activities were reduced by at least 50%, putting an estimated 26.42 million employees at risk of losing their jobs. Thus, this study focused at Covid-19 pandemic and entrepreneurship development in Nigeria vis-à-vis business tragedy and opportunities at a glance. An exploratory design approach was adopted and data collected mainly from secondary sources especially qualitative from a theoretical perspective of existing literatures. The findings revealed that there were two categories of goods in the market: essential and non-essential goods. It was also discovered that while businesses and economies were hit hard negatively worldwide, especially aviation, service and the tourism industries, there were some sectors that had phenomenal results such as online conferencing applications, e-Commerce, online food retailing, pickup and delivery services, robotics, pharmaceutical, and the gaming industries, amidst the COVID-19 pandemic as they saw upsurge in sales and revenues. Several emerging entrepreneurial opportunities were also recognized and recommended for entrepreneurs to take advantage of and make profit, providing what is really essential in these hard times.
Pseudo‐Riemannian G2(2) ‐manifolds with dimension at most 21

Let G2(2) be the non‐compact connected simple Lie group of type G2 over R , and let M be a connected analytic complete pseudo‐Riemannian manifold that admits an isometric G2(2)‐action with a dense orbit. For the case dim(M)≤21 , we provide a full description of the manifold M, its geometry and its G2(2)‐action. The latter are always given in terms of a Lie group geometry related to G2(2), and in one case M is essentially the quotient of SO0(3, 4) by a lattice.
Gallager bounds for space-time codes

Extended summary⎯A quasi-static Rayleigh fading channel is often assumed in space-time coding [1]. Since the decay slope of the pairwise error probability is limited by the diversity order while the number of codewords typically increases exponentially with distances, the standard union bound will diverge even at high signal-to-noise ratios. This is an instance of the weakness of the standard union bound. In another instance for turbo-like codes operating beyond the cutoff rate, this weakness can be overcome by a family of bounding techniques collectively interpreted as “Gallager bounds”. In this paper, we develop efficient and tight bounding techniques for space-time codes in the framework of Gallager bounds. Unlike turbo-like codes where Gaussian noise is the limiting factor, here the Gallager region is defined in the space of fading coefficients. As such the derivation is totally different. Recently, Stefanov and Duman [2] propose a tight bound on the frame error probability of space-time codes in quasi-static fading, which takes the form [ ] min 1, ( ) ( ) f E P LP f d ≤ ∫ α α α α
Observation of tiny polarization rotation rate in total internal reflection via weak measurements

In this paper, we examine the tiny polarization rotation effect in total internal reflection due to the spin–orbit interaction of light. We find that the tiny polarization rotation rate will induce a geometric phase gradient, which can be regarded as the physical origin of photonic spin Hall effect. We demonstrate that the spin-dependent splitting in position space is related to the polarization rotation in momentum space, while the spin-dependent splitting in momentum space is attributed to the polarization rotation in position space. Furthermore, we introduce a quantum weak measurement to determine the tiny polarization rotation rate. The rotation rate in momentum space is obtained with 118 nm, which manifests itself as a spatial shift, and the rotation rate in position space is achieved with 38 μrad/λ, which manifests itself as an angular shift. The investigation of the polarization rotation characteristics will provide insights into the photonic spin Hall effect and will enable us to better understand the spin–orbit interaction of light.
SORET AND RADIATION EFFECTS ON AN UNSTEADY FLOW OF A CASSON FLUID THROUGH POROUS VERTICAL CHANNEL WITH EXPANSION AND CONTRACTION

The present paper deals with the thermo physical properties of a Casson fluid through an oscillating vertical wall embedded through porous medium under the influence transverse magnetic field, radiation, constant heat source and first order chemical reaction. The radiative heat loss is modelled by using Rosseland approximation. Similarity variables were used to convert the partial differential equations into ordinary differential equation. The transformed ordinary differential equations are solved numerically using Runge Kutta -Fehlberg method with shooting technique. In order to get perfect perception of the flow pattern we obtain the graphs of axial velocity, temperature and concentrations profiles for various governing parameters viz. Casson parameter, Wall dilation ratio, Reynolds number, Grashoff numbers, Magnetic field parameter, Porous parameter, Radiation parameter, Prandtl number, Heat source parameter, Schmidt’s number, Soret number, Chemical reaction parameter. Influence of Skin friction coefficient, Nusselt number, and Sherwood number on both walls are discussed and presented through tabular form.
List and Probabilistic Unique Decoding of High-Rate Folded Gabidulin Codes

An eﬃcient interpolation-based decoding algorithm for folded Gabidulin codes is presented that can correct rank errors beyond half the minimum rank distance for any code rate R ∈ [0 , 1]. The algorithm serves as a list decoder or as a probabilistic unique decoder and improves upon existing schemes, especially for high code rates. A probabilistic unique decoder with adjustable decoding radius is presented. The de-coder outputs a unique solution with high probability and requires at most O ( s 2 n 2 ) operations in F q m , where s is a decoding parameter and n is the length of the unfolded code. An upper bound on the average list size and on the decoding failure probability of the decoder is given.