Miracle-dz/UniFAR-FTUs huggingface dataset:
Extended Structures of Planetary Nebulae Detected in H2 Emission

We present narrowband near-infrared images of a sample of 11 Galactic planetary nebulae (PNe) obtained in the H2 2.122 μm and Brγ 2.166 μm emission lines and the Kc 2.218 μm continuum. These images were collected with the Wide-field Infrared Camera on the 3.6 m Canada–France–Hawaii Telescope (CFHT); their unprecedented depth and wide field of view allow us to find extended nebular structures in H2 emission in several PNe, some of these being the first detection. The nebular morphologies in H2 emission are studied in analogy with the optical images, and indication of stellar wind interactions is discussed. In particular, the complete structure of the highly asymmetric halo in NGC 6772 is witnessed in H2, which strongly suggests interaction with the interstellar medium. Our sample confirms the general correlation between H2 emission and the bipolarity of PNe. The knotty or filamentary fine structures of the H2 gas are resolved in the inner regions of several ring-like PNe, also confirming the previous argument that H2 emission mostly comes from knots or clumps embedded within fully ionized material at the equatorial regions. Moreover, the H2 image of the butterfly-shaped Sh 1-89, after removal of field stars, clearly reveals a tilted ring structure at the waist. These high-quality CFHT images justify follow-up detailed morphokinematic studies that are desired in order to deduce the true physical structures of a few PNe in the sample.
AO Vel: the role of multiplicity in the development of chemical peculiarities in late B-type stars

We present high-resolution, high signal-to-noise UVES spectra of AO Vel, a quadruple system containing an eclipsing BpSi star. From these observations, we reconstruct the spectra of the individual components and perform an abundance analysis of all four stellar members. We found that all components are chemically peculiar with different abundance patterns. In particular, the two less massive stars show typical characteristics of HgMn stars. The two most massive stars in the system show variable line profiles indicating the presence of chemical spots. Given the youth of the system and the notable chemical peculiarities of their components, this system could give important insights in the origin of chemical anomalies.
Measuring Disability in Surveys: Consistency Over Time and Across Respondents

We conducted an experiment that compared different versions of a set of disability questions (including the questions included on the Census 2000 Long Form). Disability items are prone to a number of methodological problems, including inconsistency over time and self-proxy differences. Our experimental versions were designed to reduce these problems. The different versions constituted attempts to simplify the questions in various ways; in addition, some of the questions used a five-point response scale rather than the yes-no format commonly used in survey items on disability. We also varied whether the data were collected from the sample persons themselves or from a proxy from the same household. We administered the questions in a telephone interview to a national sample of households that included at least two adults 40 years old or older. In each cooperating household, we selected two adults in this age range and interviewed one of them about themselves and the other sample adult; we attempted to interview the sample households (again by telephone) a second time two weeks after the initial interview. We found that the wording of the disability questions had a major effect on the apparent prevalence of disability in this population, but, despite our efforts to simplify it, the wording of the questions had little effect on the consistency of responses across interviews or on selfproxy differences. Answers were more consistent across interviews when the same person answered the questions both times ‐ whether that person was a self-respondent or a proxy. Only about two-thirds of those classified as having a disability in the first interview were classified as having a disability in the second. Disability is a complex concept and different respondents may have different views about whether a given person has a disability. As a result, changes in respondents may lead to changes in the disability classification of the target person. On the other hand, changing the wording to simplify the judgment seemed to have only modest effects on consistency across interviews or consistency across respondents.
Application of integral equations to neutrino mass searches in beta decay

A new mathematical method for elucidating neutrino mass from beta decay is studied. It is based upon the solutions of transformed Fredholm and Volterra integral equations. In principle, theoretical beta-particle spectra can consist of several neutrino-mass eigenvalues. Integration of the theoretical beta spectrum with a normalized instrumental response function results in the Fredholm integral equation of the first kind. This equation is transformed in such a way that the solution of it is a superposition of the Heaviside step-functions, one for each neutrino mass eigenvalue. A series expansion leading to matrix linear equations is then derived to solve the transformed Fredholm equation. Another approach is derived when the theoretical beta spectrum is obtained by a separate deconvolution of the observed spectrum. It is then proven that the transformed Fredholm equation reduces to the Abel integral equation. The Abel equation has a general integral solution, which is proven in this work by using a specific function for the beta spectrum. As an example, a numerical solution of the Abel integral equation is also provided, which has a fractional sensitivity of about 0.001 for subtle neutrino eigenvalue searches, and can distinguish from experimental beta-spectrum discrepancies, such as shape and energy nonlinearities.
An Exploratory Study on Nepalese Teenager's Visual Recognition and Preferences in Serious Games

In serious game development, effective communication through both languages, sounds, and icons can be crucial for a game to have its intended impact. While this is also true for entertainment games, serious games have added layers of challenges as they are a) often played by audiences outside of the “typical” game ecosystem, and b) miscommunication can lead to players missing important lessons or even learning incorrect information. When a serious game is intended to be used in different parts of the world, however, clear visual communication gets an added layer of complexity: culturally informed symbol interpretation and visual preference. In order to examine how these might affect players' experiences when playing serious games, this paper presents the results of a mixed-method study conducted in two schools in Nepal. The study included 10 participants, between 13–16 years old, who played a prototype of a mobile game currently in development, which has the purpose of teaching young players about food nutrition and healthy habits. After playing the prototype, they took a short survey where they were asked to identify different food types, and they were also interviewed to discuss their opinions of the game's visual style. The results of the study indicate that, while higher fidelity images were much easier to correctly identify by the participants, the participants' preference for visual fidelity varied to a large degree.
History of Feline infectious Peritonitis 1963-2022 – First description to Successful Treatment

This article highlights knowledge of feline infectious peritonitis (FIP) as it evolved, starting at its recognition in 1963 to present time, and was prepared with veterinarians, cat rescuers and guardians, shelter staff, and cat lovers in mind. A brief mention is made of the causative feline coronavirus and its relationship to a ubiquitous and minimally pathogenic enteric coronavirus of felids, epizootiology, pathogenesis, pathology, clinical features, and diagnostics. Major emphasis is on risk factors affecting FIP prevalence, and the role of modern antiviral drugs in successful treatment.
Improve the Efficiency and Quality of Your Cell Sorting by Pre-Enriching Cells Prior to FACS Why Pre-Enrich Cells Before FACS?

Using fluorescence-activated cell sorting (FACS) alone to isolate large numbers of complex or rare cell types can be time-consuming, expensive, and lead to reduced viability of sorted cells. Starting your FACS with a cell population that has been pre-enriched for your cells of interest enables you to more quickly and efficiently isolate complex or rare immune cell subsets than can be achieved using FACS alone, helping you accomplish your research goals faster.
Utilization of Ambon Banana Tree Stems ( Musa paradisiaca var. Sapientum ) To Accelerate Blood Clotting

Injury is damage to body tissue due to trauma from sharp objects or blunt objects. When a wound occurs, the body will respond to try to stop the bleeding and repair tissue. The process is called hemostasis. Banana tree stem sap is one of the herbal medicines that can accelerate the process of hemostasis. This research was conducted to determine the effect of Ambon banana tree sap (Musa paradisiaca var. Sapientum) on blood clotting time. The research design used was a static-group comparison design. And the data obtained are primary data, that is data obtained directly from the examination of blood clotting time by the Lee & White examination method. The results that have been done show the average results before being given 9.90 minutes of sap, after giving 9.15 minutes of sap with a sample size of 30, in other words an increase in blood clotting time by 7.57 %. Based on the results of this study it can be concluded that the sap of the ambon banana tree trunk (Musa paradisiaca var. Sapientum) can be used to speed up blood clotting time.
Oakestra: an orchestration framework for edge computing

Edge computing enables developers to deploy their services on compute resources deployed closer to the users. The abstraction requires powerful orchestration capabilities and the resolution of complex optimization problems. While edge computing is a consistently growing trend, the community (research and industry) still largely embraces adaptations and extensions of existing cloud technologies that have been proven ineffective on edge (e.g. Kubernetes). In this work, we present Oakestra, a novel hierarchical orchestration framework specifically designed for supporting service operation over heterogeneous edge infrastructures. In this demonstration, we showcase the various features and operations of Oakestra using our latency-critical augmented reality (AR) application.
Realizing Self-organizing Platforms for Edge Service Deployments

Edge computing provides computational resources in proximity to their users instead of—or in combination with—resources from remote clouds. Their locality can enable latency-critical use cases like Virtual Reality (VR) and autonomous vehicles. Operating services in Edge environments is challenging for several reasons. Edge services can have strict latency or data locality requirements and benefit greatly from runtime adaptions of service placements that account for dynamism in hardware state and user demand. Computing units at the Edge can be heterogeneous and geographically distributed, requiring a platform management system that accounts for these variations. Service cluster sizes in Edge environments can span multiple geographic regions and can be orders of magnitude larger than clusters in the cloud. Currently, there is no service operating system that is able to address all of these issues at once. In this thesis, we developed VineIO, a system which realizes self-organizing platforms for Edge services. By monitoring hardware load and user latency via eBPF, the platforms can account for heterogeneous, dynamic Edge environments. They communicate within a tree-structured overlay network, sharing capacity data and executing service orchestration tasks cooperatively. To adapt to their operating environments in real-time, they migrate users, replicate and terminate services while considering hardware load as well as volume and origin of user traffic. This way, organically built service trees which do not have a centralized control plane are created, removing the need for manual intervention and micromanagement of service clusters. Our evaluation highlights the benefits of our decentralized, bottom-up approach to service orchestration by showing that the overhead of user migrations does not depend on service cluster sizes. Furthermore, VineIO was able to unify two heterogeneous and geographically distributed platforms within a service cluster. In these settings, it can adapt service placement according to user demand in real-time across federated infrastructure sets. Based on our results, we suggest that more research efforts should be spent on distributed, QoS-aware Edge service platforms.
A Type and Effect System for Atomicity – A Review

In this report, we summarize and analyze the PLDI 2003 paper “A Type and Effect System for Atomicity” by Flanagan and Qadeer [1]. We show that while this paper is the first to use static analysis to successfully verify a fundamental correctness property in multithreaded programs that is atomicity, its approach has limitations that should be, and indeed have been, addressed in future work.
Pre and Postpartum Levels of Childbirth Fear: A Turkish Experience

Background: The presence of negative thoughts about pregnancy and childbirth can complicate the expectation and experience of birth; The presence of positive thoughts about pregnancy and birth strengthens mother-baby communication and increases postpartum satisfaction. Objective or Aims: The study was conducted to determine the relationship between pre- and postpartum levels of fear of childbirth. Methodology: The study was conducted with a descriptive and correlational design. The sample for the study consisted of 312 women who were in gestational week 38 or later and 202 women who had experienced vaginal delivery and were in the second or third postpartum week. Results: In the study, it was found that while the women mostly experienced fear of childbirth at a moderate level before delivery, many experienced a clinical level of fear of childbirth after the delivery ( p<0.05 ). Regression analysis showed that their fear expectation was consistent with the attitudes of the health personnel, and that their position in relation to a request for social support during the delivery, and the W-DEQ-A were important predictive variables for fear of childbirth as experienced by these women. It was also found that women expressed greater fear of childbirth after the birth than before it. Conclusions: W-DEQ-A, the attitudes of the health personnel, and the state of requesting social support during the delivery were important predictors for the fear of childbirth as experienced by the women.
Isotropic and Anisotropic Mesh Adaptation for Rans Simulations of a Nacelle Under Crosswind Conditions

Mesh adaptation of unstructured meshes for aerodynamic simulations, that typically resolve the Reynolds Averaged Navier-Stokes (RANS) equations, is a promising approach to enable high numerical precision on complex geometries. Its objective is to minimize the discretization error without using empirical meshing guidelines. The most common approach of mesh adaptation is the “feature-based” isotropic mesh adaptation: from an initial flow prediction on an isotropic unstructured mesh, a local error estimator is computed using a flow variable. It is then used to adapt the mesh using isotropic tetras. Additional near-wall resolution can be achieved by extracting prism layers from the walls. A more efficient approach is to use anisotropic mesh adaptation purely with tetras that are stretched to follow the flow’s preferential directions. In this work, we demonstrate the abilities of feature-based isotropic and anisotropic mesh adaptation on a complex flow phenomenon of importance for jet engines: flow separation in a nacelle under crosswind conditions. Two different solvers, adapted for either isotropic or anisotropic meshes, are employed. Results are compared with standard unstructured simulations with user-imposed mesh refinements and highlight the ability of mesh adaptation to automatically capture all the relevant flow phenomena without any user input and at reduced cell counts.
Association between internet addiction and mental well-being among adolescents in the Al-Qassim region of the Kingdom of Saudi Arabia

: Adolescence is a period in human life characterized by the adoption of varied lifestyles, educational choices, and health behaviors. The demand for satisfaction (e.g., self-expression, need for recognition, peer communication, and peer group pressures) could explain the rising frequency of online media use and internet addiction. This study was conducted to examine the prevalence of internet use and addiction and its association with the psychological well-being of adolescents in the Al-Qassim region of the Kingdom of Saudi Arabia (KSA) . Methods: A descriptive, cross-sectional study was carried out to assess a convenience sample consisting of 663 adolescents in the Al-Qassim region of the KSA. Data were obtained from online responses to a questionnaire that addressed sociodemographic characteristics, patterns of internet use, and questions relevant to Young’s Internet Addiction Test (YIAT) and the Warwick–Edinburgh Mental Well-Being Scale (WEMWBS). Results: The mental well-being scores of the adolescents ranged from 2 to 56, with a mean of 38.53 and standard deviation of 10.61. Statistically, significant inverse correlations were detected between internet addiction (IA) scores, well-being scores, and age, and a statistically significant direct correlation was detected between IA scores and hours of daily internet use. Furthermore, there was a highly statistically significant inverse correlation between well-being scores and hours of daily internet use, indicating that internet addiction is a strong negative predictor of mental well-being. Conclusions: The majority of the study participants have moderate to severe internet addiction and poor mental health, and there were statistically significant negative associations between internet addiction, well-being, and age. This study emphasizes the need to provide suitable school-based interventions for the prevention of IA in adolescence, which can include teacher and parent training, student education, and awareness-raising and can help to strengthen protective variables and reinforce positive behaviors or aspects of the environment that reduce the likelihood of IA occurrence. that during adolescence, the of internet addiction The results of this study demonstrate that mobile phone internet usage is much higher among the study participants than internet usage with laptops iPads, or tablets. The results also show that the highest percentage of participants (77.5%) spent 4–9 hours per day using the internet, predominantly at night and predominantly for social purposes. Only 16.9% used the internet for knowledge searches. This may be because smart phones tend to always be closer at hand than other devices. Using the internet more frequently at night may affect sleeping patterns, and this could lead to addictive use of these devices. The findings this often online longer to the In study China, Jorgenson time has gradually
Flexible Multi-Cluster Edge Orchestration and Task Scheduling Platform

Software is changing and so in recent years, the new distributed edge computing direction has emerged from the successful and rather centralized cloud computing. Edge computing aims to combine IoT devices with cloud paradigms. In IT, automation is desired as much as possible, both application development as well as the infrastructure and their processes required for it. Automation includes deployment and orchestration platforms. The different heterogeneous and anyway growing number of devices with more or less computing capacity and connectivity are to be exploited together with compute nodes in the cloud for next-generation applications. However, the different heterogeneous properties (hardware, software, connectivity) of devices on the edge of the network present a challenge and a flexible system is necessary, which supports as much heterogeneity as possible to turn the small, mobile, and very different end devices that are close to users into intelligent servers. Those compute nodes should be able to execute different dynamically received tasks. Applications should not only run on far away cloud machines, however also on devices as close as possible to the user to decrease latency and increase QoE. This Thesis is about the design and development of such a system, edgeIO. EdgeIO is a flexible multi-cluster edge orchestration platform, which is scalable and can accommodate a large number of computing nodes in groups or individually, and assign tasks to them. Computing nodes can be added to the edgeIO network without a public IP address and tasks can be assigned to them depending on their capacity and technological capabilities.
Development of Open-sourced, Self-executable and GUI-based Application Tool Q-Check for Quality Prediction of Resistance Spot Weld using Arti�cial Neural Network

: Optimizing Resistance spot welding (RSW), often used as a time and cost-effective process in many industrial sectors, is very time-consuming due to the obscurity inherent within process with numerous interconnected welding parameters. Small changes in values will give effect to the quality of welds which actually can be easily analysed using application tool. Unfortunately, existing software to optimize the parameters are expensive, licensed and inflexible which makes small industries and research centres refused to acquire. In this study, application tool using open-sourced and customized algorithm based on artificial neural networks (ANN) was developed to enable better, fast, cheap and practical predictions of major parameters such as welding time, current and electrode force on tensile shear load bearing capacity (TSLBC) and weld quality classifications (WQC). A supervised learning algorithm implemented in standard backpropagation neural network gradient descent (GD), stochastic gradient descent (SGD) and Levenberg-Marquardt (LM) was constructed using TensorFlow with Spyder IDE in python language. All the display and calculation processes are developed and compiled in the form of graphical user interface (GUI) using Qt designer and PyQt5. The standalone capability was created with customized icon by using Pyinstaller to enable a self-execution in windows platform. Results showed that this low-cost application tool Q-Check based on ANN models can predict with 80% training and 20% test set on TSLBC with an accuracy of 87.220%, 92.865% and 93.670% for GD, SGD and LM algorithms respectively while on WQC 62.5% for GD and 75% for both SGD and LM . It is also expected that tool with flexible GUI can be widely used and enhanced by practitioner with minimum knowledge in the domain.