Miracle-dz/UniFAR-FTUs huggingface dataset:
The concept of creating a pulse water gun with a large action range

We presented the concept of creation of a pneumatic pulse water gun. Its original feature is a use of a developed turbulent flow at the attenuation stage for formation of a jet. We suppose to create the required structure of small-scale turbulence according to a known procedure by means of a lattice in a barrel channel. The maximum intensity of this turbulence will be at a certain distance from a lattice, where a nozzle must be installed to take a turbulent structure into a jet. Well-known theoretical concepts and experimental facts give possibility to state that small-scale turbulence has the property of flow stability to excitations. We assumed that this property would act in a jet and provide its stability before expenditure of turbulence energy and prevent appearance of large-scale turbulence. Thus, it will delay the disintegration of a jet and increase a range of its flight. The analysis of a flow in known fountains with a transparent jet showed that representation of a laminar mode in them is incorrect. We presented a substantiation that special properties of jets are a consequence of a turbulent flow in fountains. This conclusion speaks in favor of the proposed use of turbulence as a tool against vortex formation. However, it is not possibly to apply the technique of creation of a jet in fountains for a high-power pulse water gun. We proposed a schematic diagram of the pulse water gun with a pneumatic ejection of a water projectile. An obvious problem of combination of a pulse flow with creation of small-scale turbulence is instability of a flow at the initial moment of a pulse. We showed the way of the solution to this problem by the experimental determination of real flow characteristics in a particular water gun design. We offered solutions to the most important technical issues of water gun creation.
Financial Distress, Audit Quality, and Earnings Management–Indonesia's Mining Sector Evidence

This paper describes research that investigated the association between financial distress (Dist) and accrual earnings management (AEM), and the role played by audit quality (AQ) in that association. Financial distress is measured by The Modified Altman Z-Score for emerging markets (EMZ score), earnings management is measured by discretionary accrual, and audit quality is measured by audit-firm size (Big4). Data analysis was performed with Pooled Least Square. Using data from Indonesian Mining Sector for 2016–2020, the research finds empirical evidence that financial distress firms involve in income-increasing accrual earning management, but such involvement is lower when firms are audited by Big 4 audit firms. This research contributes to previous literature about similar issues, specifically about the impact of financial distress on accrual earnings management. It also presents evidence about the role of audit quality in such an effect.
Strong convergence theorem of split equality fixed point for nonexpansive mappings in Banach spaces

The purpose of this paper is to propose an algorithm to solve the split equality fixed point problem of nonexpansive mappings in p-uniformly convex and uniformly smooth Banach spaces. The strong convergence theorem of the iterative scheme proposed in this paper is obtained without the assumption of semi-compactenss on the mappings. The results presented in the paper are new and extend some recent corresponding results. Mathematics Subject Classifications: 47H09, 47J25
Migraine headaches as a complication of the atrial fibrillation ablation procedure: case report

The balloon cryoablation (CA) procedure is an established method for the permanent treatment of atrial fibrillation (AF). Like other surgical interventions, it is associated with the potential development of early and late complications, including neurological ones such as migraine. We report a case of migraine headaches after the CA procedure. 25-year-old man with paroxysmal AF, without comorbidities, underwent balloon CA. On the second day after the procedure, the patient developed visual symptoms typical of migraine aura. After 30 minutes, these symptoms disappeared and appeared classic migraine headache attack. Similar episodes occurred over the following days. A focal central nervous system lesion was ruled out and a diagnosis of migraine with aura was made. The patient received a typical migraine attack treatment. The attacks ceased within two weeks. 3 months later during the follow-up visit at the neurology clinic no abnormalities were detected. We decided to check if the migraine is a rare complication of AF ablation surgery. Many studies do not include migraine headaches at all in the neurological complications of ablation. However, based on some studies, it may seem that the incidence of migraine as a complication of ablation is underestimated.
Visual Quality Assessment of Point Clouds Compared to Natural Reference Images

This paper proposes a point cloud (PC) visual quality assessment (VQA) framework that reflects the human visual system (HVS). The proposed framework compares natural images acquired using a digital camera and PC images generated via 2D projection in terms of appropriate objective quality evaluation metrics. Humans primarily consume natural images; thus, human knowledge is typically formed from natural images. Thus, natural images can be more reliable reference data than PC data. The proposed framework performs an image alignment process based on feature matching and image warping to use the natural images as a reference which enhances the similarities of the acquired natural and corresponding PC images. The framework facilitates identifying which objective VQA metrics can be used to reflect the HVS effectively. We constructed a database of natural images and three PC image qualities, and objective and subjective VQAs were conducted. The experimental result demonstrates that the acceptable consistency among different PC qualities appears in the metrics that compare the global structural similarity of images. We found that the SSIM, MAD, and GMSD achieved remarkable Spearman rank-order correlation coefficient scores of 0.882, 0.871, and 0.930, respectively. Thus, the proposed framework can reflect the HVS by comparing the global structural similarity between PC and natural reference images.
Bohr-Neugebauer property for almost automorphic partial functional differential equations

ABSTRACT We prove that a partial functional differential equation with infinite delay has the Bohr–Neugebauer property, when the semigroup generated by the differential operator is immediately compact and when the phase space has the uniform fading memory property. To illustrate our main result, we propose an application to a reaction–diffusion equation with continuous delay.
Pengembangan Media Pembelajaran Pop Up Book Berbasis Model ARIAS di Kelas III Sekolah Dasar

This study aims to develop Pop Up Book learning media in integrated thematic learning that is valid and practical. The type of research conducted is Research and Development (R&D) using the ADDIE development model with the Analysis, Design, Development, Implementation, Evaluation stages. Data collection uses a validation sheet, and a response questionnaire. Where the validation sheet consists of material expert validation sheets, media expert validation sheets and linguist validation sheets. The results of research on the development of Pop Up Book learning media were developed through the validation stages of material aspects, media aspects, and language aspects. In the material aspect, it shows 87.5% valid category. In the media aspect, the percentage of 96% is very valid, and in the language aspect, the percentage is 93.7%, the category is very valid. While the practicality test at the trial stage for students obtained an average score of 91% and the practicality of the teacher obtained an average score of 92% with a very practical category. For the results of the practicality of the implementation phase, teachers get an average score of 96%, and students get an average score of 93% (very practical category).
Optimal Raw Material Inventory Analysis Using Markov Decision Process with Policy Iteration Method

Inventory of raw materials is a big deal in every production process, both in company production and home business production. In order to meet consumer demand, a business must be able to determine the amount of inventory that should be provided. The purpose of this research is to choose an alternative selection of ordering raw materials that produce the maximum amount of raw materials with minimum costs. The raw material referred to in this study is pandan leaves used to make pandan mats. Analysis of raw material inventory used in this research was the Markov decision process with the policy iteration method by considering the discount factor. From the analysis conducted, it is obtained alternative policies that must be taken by producers to meet raw materials with minimum costs. The results of this study can be a consideration for business actors in the study location in deciding the optimal ordering policy that should be taken to obtain the minimum operational cost.
Optimal estimates on stabilized finite volume methods for the incompressible Navier–Stokes model in three dimensions

Optimal estimates on stabilized finite volume methods for the three dimensional Navier–Stokes model are investigated and developed in this paper. Based on the global existence theorem [23], we first prove the global bound for the velocity in the H1‐norm in time of a solution for suitably small data, and uniqueness of a suitably small solution by contradiction. Then, a full set of estimates is then obtained by some classical Galerkin techniques based on the relationship between finite element methods and finite volume methods approximated by the lower order finite elements for the three dimensional Navier–Stokes model.
Methodology for the simultaneous optimization of location and parameters of friction dampers in the frequency domain

ABSTRACT It is well known that the use of passive energy dissipation devices such as friction dampers reduces the dynamic response of structures subjected to earthquakes. However, the parameters of each damper as well as the best position of these devices in the structure remain difficult to determine. Although articles on optimum design of tuned mass dampers and viscous dampers have been published, there is a lack of studies on the optimization of friction dampers. In previous contributions, the authors proposed a method for optimum design of this kind of damper. The proposed method is very useful; however, the computational time required is high. Thus, in this article, a new methodology for the simultaneous optimization of placement and forces of friction dampers is proposed. As this new method is developed in the frequency domain, the computational time is considerably reduced. For this purpose, the search group algorithm, recently developed by the authors, is employed, which is able to deal with optimization problems involving mixed discrete and continuous variables. For illustrative purposes, a six-storey shear building is analysed. Forces and positions of friction dampers are the design variables, while the objective function is to minimize the root mean square displacement at the top of the building. The results showed the excellent performance of the proposed method, reducing the root mean square displacement by more than 82%, with only three friction dampers and in a relatively short computational time.
A Novel Compact, Wideband Four-Way Wilkinson Power Divider With an Improved Isolation Topology

This letter describes a novel lumped element circuit topology for the Wilkinson power divider (WPD) with compact and wideband performance using the bandpass matching network. The design method is inspired by even and odd modes analysis techniques, and the odd-mode circuit has the same grade as the even-mode one by an improved isolation network. The design equations for the proposed WPD are derived by analyzing the <inline-formula> <tex-math notation="LaTeX">$Z$ </tex-math></inline-formula> parameter and the widest frequency response is obtained. The power divider is fabricated based on the GaAs-integrated passive device (IPD) technology that features a compact size of <inline-formula> <tex-math notation="LaTeX">$1.5\times1.7$ </tex-math></inline-formula> mm, with a relative bandwidth of 66.7%, good isolation greater than 20 dB, insertion loss (IL) less than 1.3 dB, and return loss (RL) better than 12.3 dB over a range of 1.3–2.6 GHz.
Cosmological and Astrophysical Probes of Physics Beyond the Standard Model

Cosmology, carrying imprints from the entire history of the universe, has emerged as a precise observational science over the past 30 years. It can probe physics beyond the Standard Model at energy scales much higher than the weak scale. This thesis reports on some important probes of beyond standard model physics derived in a cosmological setting (I) It is shown that primordial gravitational waves left over from inflation carry unique detectable CMB signatures for neutrino masses, axions and any other relativistic species that may have been present. (II) Higgs Inflation, the most popular and compelling inflation model with a higgs boson is studied next and it is shown that quantum e↵ects have so far been incorrectly incorporated. A spurious gauge ambiguity arising from quantum e↵ects enters the canonical prediction for observables in Higgs Inflation that must be addressed. (III) A new novel mechanism for generating the observed baryon asymmetry of the universe via decaying gravitinos is proposed. If the Supersymmetry (SUSY) breaking scale is high, then in the presence of R-parity violation, gravitinos can successfully reproduce the baryon asymmetry and evade all low energy constraints. (IV) The final chapter reports on a new completely general analysis of simplified models used in direct detection of dark matter. This is useful to explore what high energy physics constraints can be obtained from direct detection experiments.
Reconceptualizing Cross-Cutting Political Expression on Social Media: A Case Study of Facebook Comments During the 2016 Brexit Referendum

ABSTRACT Political communication research has long sought to understand the effects of cross-cutting exposure on political participation. Here, we argue for a paradigm shift that acknowledges the agency of citizens as producers of cross-cutting expression on social media. We define cross-cutting expression as political communication through speech or behavior within a counter-attitudinal space. After explicating our conceptualization of cross-cutting expression, we empirically explore: its extent, its relationship to political arguments, and its implications for digital campaigning during the 2016 Brexit Referendum. Our dataset, comprising 2,198,741 comments from 344,884 users, is built from Facebook comments to three public campaign pages active during the Brexit referendum: StrongerIn, VoteLeave, and LeaveEU. We utilize reactions data to sort partisans into “Remain” and “Brexit” camps and, thereafter, chart users’ commenting flows across the three pages. We estimate 29% of comments to be cross-cutting, and we find strong correlations between cross-cutting expression and reasoned political arguments. Then, to better understand how cross-cutting expression may influence political participation on social media, we topic model the dataset to identify the political themes discussed during the Brexit debate on Facebook. Our findings suggest that political Facebook pages are not echo chambers, that cross-cutting expression correlates with reasoned political arguments, and that cross-cutting expression may influence the online voter mobilization potential of political Facebook pages.
Doubly Heavy Exotic Mesons and Baryons and How to Look for Them

I discuss the experimental evidence for and theoretical interpretation of the new mesons and baryons with two heavy quarks. These include doublyheavy baryons, exotic hadronic quarkonia and, most recently, a manifestly exotic pentaquark-like doubly heavy baryon discovered by LHCb with a minimal quark content uudc̄c. Its mass, decay mode and width are in agreement with a prediction based on a physical picture of a deuteron-like ΣcD̄ ∗ “hadronic molecule”. In the second part of the paper, I focus on possible ways of experimental exploration of this new spectroscopy of QCD, especially in future high-energy e+e− colliders with very high luminosity. The primary task of these machines is searching for physics beyond the Standard Model. Consequently, their planned CM energy is far above the relevant energy scale for production of the new doubly-heavy hadrons. Yet, preliminary analysis of radiative-return processes indicates rather high effective luminosity at CM energies of interest, suggesting a possibility for copious production.
Neuronal Dynamics: from Complexity to Simplicity

An analytical study is performed to obtain the phase description of a network of Leaky Integrate-and-Fire (LIF) neurons. We start by discussing the behaviour of single LIF neuron in the presence of a constant current and then derive the corresponding phase oscillator model for some parameters setup. In the case of two identical LIF neurons where the interactions are ruled by the weak pulse input, we determine the analytical expression for the phase response curve. Next, we extend the phase reduction principles to a generic case of N networks of identical LIF neurons. The final model of so-called phase oscillators is widely used to study synchronization in many natural systems. Through numerical simulations, we find an agreement between the LIF neurons and the phase oscillators model.
Rethinking Communities, Land and Governance: Land Reform in Scotland and the Community Ownership Model

I’d like to start with a thought experiment: imagine being a planner in a place where community organisations have wide-ranging powers over land ownership and use. Residents can come together to form non-profit community organisations, which can purchase and develop land and buildings to meet their needs and set out a spatial policy for their local area. These organisations have open membership, are democratically governed and act in the public interest. They have legal rights over land, including first right of purchase for pre-identified sites, and for compulsory purchase. There is technical support available to build organisational capacity, as well as funding for purchase and development. As non-profit local landowners, any value derived from development or use is reinvested locally; for example, a community-owned business can provide funding for a community garden. These community organisations own key local assets that they identify, and they work collaboratively with other landowners (public and private) to deliver projects. In this model, communities’s role in land use planning systems is expanded – from a narrow role in commenting on others’ proposals for land (whether planning policy produced by government, or developers’ projects) – to include a range of options which arise from meaningful power over land. Communities could designate sites to protect land use, prepare a local plan, declare a preference for purchase should the land come up for sale, or force a sale in the interests of sustainable development. This approach is notably different to the role of community in planning in many contexts – this is emergent citizen control, with power, as noted in Arnstein’s (1969) oft-referred Ladder of Public Participation.
Resonant Interaction of the Psyche, Circadian Rhythms and External Electromagnetic Fields

We consider the human body as an open self-regulating liquid system (LS) functioning in a gaseous environment (GE). This paper considers two systemic critical points. The first is birth (F): the start of a set of trajectories of unsynchronised circadian rhythms during the transition from the liquid intrauterine to the external gaseous environment; the appearance of gas-exchange metabolic function of the lungs; restructuring of the vascular, nervous, endocrine systems, activation of the hypothalamus. The second is biological mortality (M), which we consider as a zone of convergence and final degradation of all circadian rhythms and homeostatic mechanisms. "M" is an attractor of homeostasis of biological life forms. The graph shows a significant phase similarity in time and vector parameters "F", "M", "IPB" (integral population biorhythm) and Schumann resonance (SR). SR action is considered as an external regulatory influence on processes (F/M), the dynamics of which has no signs of interaction at short time intervals. Parametric resonance is considered as a universal communicator of external and internal interactions. The bifurcation point for all circadian rhythms is cardiac arrest, following which brain activity is determined by the time interval of metabolically permissible activity. In the terminal phase (from cardiac arrest to isoelectric EEG), all the trajectories of LS regulation in the GE are focused in the attraction pool of the attractor (M). High brain activity and growing dynamic chaos in the terminal phase lead to the mobilisation of the entire range of compensatory brain information constructs aimed at restoring homeostasis (the uncontested goal of this phase). The final stage of brain activity in the final stage of the terminal phase, with the total exhaustion of regulatory resources, leads to the creation of an extract from the entire spectrum of homeostasis regulation algorithms, an integral information package of maximum density. The dominant communicative and integrative role during the terminal phase is played by brain structures, the activity of which is manifested by an EEG gamma rhythm spectrum. We believe the gamma-rhythm burst in this phase is a sign of the activity of brain structures that include a network gateway for information conversion (consciousness).
Compliance of Healthcare Providers With the Notifiable Diseases Surveillance System in Riyadh, Saudi Arabia

Introduction Though reporting notifiable diseases is obligatory in Saudi Arabia, and the Saudi Ministry of Health establishes guidelines, there are concerns about healthcare providers’ compliance, and studies evaluating the notifiable diseases surveillance system (NDSS) are lacking, underlying the urgent need to assess the compliance of healthcare providers with the NDSS in Saudi Arabia. Methods This cross-sectional study involved doctors, nurses, and epidemiologists working in healthcare facilities in Riyadh, Saudi Arabia. The data collection was done using a self-administered questionnaire. SPSS version 27 software (IBM Corp., Armonk, NY) was used for statistical analyses. Results We included 420 participants enrolled in our study, and 63.1% were female. Of 51.4% of participants who worked in private healthcare facilities, 75.7% of them were nurses, while the majority of those working in governmental facilities were doctors (69.1%). The age range was 20-62 years, and the dominant age group was 31-40 years (63.8%). Most participants had no training in epidemiology (79.7%) and of those trained, 64% had a certificate training level. Most notifiable diseases worked were detected in governmental health facilities (35.6% vs. 18.8%). Of those who identified notifiable diseases, 84.3% notified them. COVID-19, measles, and hepatitis A, B, and C were the most notified diseases. The lack of knowledge of the notification system was the most common barrier to the notification among 81 nurses, 39 doctors, and one epidemiologist. There was a significant relationship between being a doctor in the governmental institution and notification timeline (p = 0.024). Conclusion This study showed that identifying notifiable diseases was poor despite good compliance among those who identified them. This study showed the lack of proper training of participants, explaining poor knowledge. The findings highlight the differences in notification practices between private and governmental facilities and the need for educational interventions to tackle the knowledge barrier reported.