Miracle-dz/UniFAR-FTUs huggingface dataset:
Interaction of the massive cluster system Abell 3016/3017 embedded in a cosmic filament

The galaxy cluster system RXCJ0225.9-4154 with the two sub-clusters A3016 and A3017 is embedded in a large-scale structure filament with signatures of filamentary accretion. In a Chandra observation of this system at a redshift of z = 0.2195 we detect both clusters in X-rays. In addition we detect a filament of X-ray emission connecting the two clusters and a galaxy group therein. The main cluster, A3017, shows indications of shocks most probably from a recent interaction with cluster components along the filament axis as well as a cold front at about 150 kpc from the cluster centre. The filament between the two clusters is likely to be heated by the accretion shocks of the clusters. We discuss two scenarios for the origin of the X-ray filament between the two clusters. In the first scenario the material of the filament has been ripped off of A3017 during the fly-by of A3016 and is now trailing the latter sub-cluster. Support for this scenario is a gas deficit on the eastern side of A3017. In the second scenario the filament between the two clusters does not come from either of them, but a significant contribution could come from the galaxy group located inside and the entire structure is on its first collapse. We favour the second explanation as the gas mass in the filament seems to be too large to be supplied by the interaction of the two Abell clusters. The paper describes many properties of the components of this cluster merger system that are used to assist the interpretation of the observed configuration.
Bibliometric Analysis of the Scientific Literature on Rheumatoid Arthritis-Associated Interstitial Lung Disease

Background In recent years, the number of studies on rheumatoid arthritis-related interstitial lung disease (RA-ILD) has been increasing, which has led to many publications on this topic. Our purpose is to identify research trends in RA-ILD and analyze the most-cited RA-ILD-related high-quality scientific publications. Methods All publications on RA-ILD in the Core Collection database of Web of Science were searched. The publication year, country, institution, total citations, and journal were extracted and analyzed. We used VOSviewer software or an online bibliometric analysis platform for cooccurrence analysis of the keywords, institutions, and countries involved. The 100 most frequently cited RA-ILD publications were analyzed. Results In total, 596 publications related to RA-ILD were obtained. Over time, the frequency of RA-ILD publications has increased. Globally, the United States provides the most publications on RA-ILD (n = 195). The institution with the highest publication output was the Mayo Clinic (n = 43). The journal “Annals of the Rheumatic Diseases” published most with 93 articles and received 338 citations. A clinical description was the most common research topic in RA-ILD-related publications. Conclusions In recent years, there has been an increasing number of studies on RA-ILD, and related publications have increased rapidly. This study is the first bibliometric study of RA-ILD-related publications. It can be used as a guide for clinicians and can help researchers choose research directions of interest in this field.
Condensates as components of dark matter and dark energy

We report on recent results according to which the vacuum condensate characterizing many physical systems can give contributions to dark energy and dark matter of the universe. In particular, it is shown that thermal states of the intercluster medium, the vacuum energy of fields in curved space-time and of mixed neutrinos contribute to the dark matter. The vacuum condensates generated by the mixing of axions and photons and the one produced by superpartners of neutrinos may represent a component of the dark energy.
Paparan Suara yang Diperlakukan pada Tanah dan Air terhadap Populasi Mikroba dan P Tersedia Tanah

Suara sebagai faktor lingkungan dapat mempengaruhi kehidupan di alam, baik makro maupun mikro, berbagai suara juga dapat mempengaruhi bentuk kristal air, seperti penelitian seorang ilmuwan dari Jepang Prof. Dr. Masaru Emoto terhadap air. Diketahui bahwa komponen ideal tanah mineral diantaranya terdiri dari 25% air dan 5% kandungan bahan organik, yang kehidupan tanah ada di dalamnya. Penelitian ini bertujuan untuk membandingkan populasi total mikroba dan P tersedia dalam tanah yang diperdengarkan suara dan diberi air yang diperlakukan suara. Penelitian ini dilaksanakan di laboratorium ilmu tanah Fakultas Pertanian Universitas Muhammadiyah Sumatera Utara pada bulan Agustus sampai Oktober 2018. Rancangan yang digunakan adalah Rancangan Petak Terpisah dengan 3 ulangan. Petak utama adalah suara murotal (S) dengan 2 taraf, yaitu S0 = tanpa suara murotal dan S1 = dengan suara murotal. Anak petak adalah air yang diperlakukan, terdiri dari A0 = Air tanpa diperdengarkan suara, A1 = Air yang diperdengarkan suara murotal, A2 = Air yang diperdengarkan suara kasar. Parameter yang diukur adalah populasi total mikroba tanah dan kandungan P tersedia tanah. Hasil penelitian menunjukkan bahwa paparan suara secara utuh dapat meningkatkan P tersedia tanah secara signifikan dari 77,1 ppm menjadi 86,7 ppm (11,07%).
A Moderated Mediation Approach

In the UK, conservative tabloids (CTs) have over the past 20 years, increasingly exposed their large readerships to highly negative and emotionalized depictions of immigrants. This surveyexperiment tested the direct and indirect effects of consuming such reporting on accordant sociopolitical judgements. Findings suggest that exposure to typical British CT articles (viz., those featuring immigrant criminality framings), induced anti-immigrant attitudes, which in turn, mediated the likelihood of voting for politicians running on anti-immigration platforms. Additionally, the effects of CT immigration coverage on said attitudes and voting intentions are enhanced by the perceived believability of the presented news information -particularly amongst self-identified conservatives and lower formally educated individuals. Overall, this study empirically affirms the hitherto untested proposition that the British right-wing press’ continuous circulation of derogatory and alarmist representations of immigrants is fomenting xenophobic public sentiments and support for more stringent and punitive immigration policies. The theoretical and political implications of this research are discussed. Testing the Effects of British Conservative Tabloids on AntiImmigrant Attitudes & Policy Support Media@LSE Working Paper #64
Approximation of general Pexider functional inequalities in fuzzy Banach spaces

In this paper, we investigate a fuzzy version of a generalized Hyers-Ulam-Rassias type stability for the following Pexider functional inequalities f(x+ y) + f(x− y) + g(z) + h(l) 6 kp ( 2x+ z+ l k ) , f(x+ y) + f(x− y) + g(z) + kh(l) 6 kp ( x+ z k + l ) , where k are nonzero real scalars. In the fuzzy normed linear space setting is presented. In this condition, we give an alternative proof of this result in fuzzy Banach space.
Neuromorphic computing enabled by physics of electron spins: Prospects and perspectives

“Spintronics” refers to the understanding of the physics of electron spin-related phenomena. While most of the significant advancements in this field has been driven primarily by memory, recent research has demonstrated that various facets of the underlying physics of spin transport and manipulation can directly mimic the functionalities of the computational primitives in neuromorphic computation, i.e., the neurons and synapses. Given the potential of these spintronic devices to implement bio-mimetic computations at very low terminal voltages, several spin-device structures have been proposed as the core building blocks of neuromorphic circuits and systems to implement brain-inspired computing. Such an approach is expected to play a key role in circumventing the problems of ever-increasing power dissipation and hardware requirements for implementing neuro-inspired algorithms in conventional digital CMOS technology. Perspectives on spin-enabled neuromorphic computing, its status, and challenges and future prospects are outlined in this review article.
Improving the Process of Pain Management by Implementing Best Practices in a Nursing Home

Pain is often untreated or undertreated among older adults living in nursing homes. The lack of standardized pain management protocols makes it difficult to address pain in this population. Deficiencies in pain management and documentation were identified in a nursing home and a performance improvement project was implemented with the aim to improve pain management, pain documentation, and staff knowledge of pain management. A pre-and post-intervention study design was used, and data analysis included descriptive statistics and a paired samples t-test. Participants (n=12) included seven registered nurses and five licensed vocational nurses who provide direct care to the residents in a nursing home. Chart audits included all residents (n=47) who stayed at the facility during the entire study. Data (pain documentation by nurses and daily average pain scores of residents) were collected two weeks before intervention and two weeks after intervention. Intervention consisted of education on pain management protocol using a standardized pain management algorithm, pain documentation, and integration of pharmacological and non-pharmacological interventions for pain control. Staff knowledge of pain management was assessed using pre-and post-tests during the intervention. Significant improvement was seen in the initial daily average pain scores (p = 0.09) and the reassessment daily average pain scores ( p = 0.031) post-intervention. Additionally, documentation of pain assessment (every 8 hours) increased from 93% to 100%, pain intervention increased from 89% to 100%, and post-intervention pain assessment (30-60 minutes) increased from 70% to 97%. Staff knowledge of pain management improved significantly after education intervention (p< 0.001). Further studies are needed to examine the use of non-pharmacologic pain interventions in nursing homes.
A tail of two tails : peakedness properties in inheritance models of evolutionary theory

In this paper, we study transmission of traits through generations in multifactorial inheritance models with sexand time-dependent heritability. We further analyze the implications of these models under heavy-tailedness of traits’ distributions. Among other results, we show that in the case of a trait (for instance, a medical or behavioral disorder or a phenotype with significant heritability affecting human capital in an economy) with not very thick-tailed initial density, the trait distribution becomes increasingly more peaked, that is, increasingly more concentrated and unequally spread, with time. But these patterns are reversed for traits with sufficiently heavy-tailed initial distributions (e.g., a medical or behavioral disorder for which there is no strongly expressed risk group or a relatively equally distributed ability with significant genetic influence). Such traits’ distributions become less peaked over time and increasingly more spread in the population. The proof of the results in the paper is based on the general results on majorization properties of heavy-tailed distributions obtained recently in Ibragimov (2004) and also presented in the author’s Ph.D. dissertation Ibragimov (2005) and several their extensions derived in this work.
A feedback control scheme for reversing a truck and trailer vehicle

A control scheme is proposed for stabilization of backward driving along simple paths for a miniaturized vehicle composed of a truck and a two-axle trailer. The paths chosen are straight lines and arcs of circles. When reversing, the truck and trailer under examination can be modeled as an unstable nonlinear system with state and input saturations. The simplified goal of stabilizing along a trajectory (instead of a point) allows us to consider a system with controllable linearization. Still, the combination of instability and saturations makes the task impossible with a single controller. In fact, the system cannot be driven backward from all initial states because of the jack-knife effects between the parts of the multibody vehicle; it is sometimes necessary to drive forward to enter into a specific region of attraction. This leads to the use of hybrid controllers. The scheme has been implemented and successfully used to reverse the radio-controlled vehicle.
Network-to-Network Control Over Heterogeneous Topologies: A Dynamic Graph Approach

This paper addresses a class of network-to-network control problems in the presence of heterogeneous topologies. To achieve the coordination of nodes in a controlled network, a networked controller with a heterogeneous topology is presented in an observer form based on the nearest neighbor rule. It is shown that the network-to-network control problem can be transformed into a coordination problem on a network subject to hybrid static and dynamic interactions. Furthermore, these hybrid interactions among nodes can be represented by appropriately constructing a dynamic graph, of which the connectivity provides a necessary and sufficient guarantee for all nodes to reach agreement on the average quantity of their initial conditions. Simulations are given to illustrate the effectiveness of our results obtained through the dynamic graph approach.
Peristaltic Hemodynamic Jeffery Fluid through a Tapered Channel with Heat and Mass Transfer under the Influence of Radiation –Blood Flow Model

In this paper, impact of heat and mass transfer on peristaltic hemodynamic Jeffery fluid model through a tapered vertical channel under the influence of radiation is studied under long wavelength and low Reynolds number assumptions are investigated. Closed form expressions for the axial velocity pressure gradient, temperature, heat transfer coefficient and Concentration distribution (Mass transfer distribution) on the channel walls have been computed numerically. In addition, it has been illustrated graphically for significant various parameters such as, Radiation parameter, Prandtl number, heat source/sink parameter, Soret number, Schmidt number and Jeffery fluid parameter.
The Dynamics of an Extreme Precipitation Event in Northeastern Vietnam in 2015 and Its Predictability in the ECMWF Ensemble Prediction System

AbstractA record-breaking rainfall event occurred in northeastern Vietnam in late July–early August 2015. The coastal region in Quang Ninh Province was hit severely, with station rainfall sums in the range of 1000–1500 mm. The heavy rainfall led to flooding and landslides, which resulted in an estimated economic loss of $108 million (U.S. dollars) and 32 fatalities. Using a multitude of data sources and ECMWF ensemble forecasts, the synoptic–dynamic development and practical predictability of the event is investigated in detail for the 4-day period from 1200 UTC 25 July to 1200 UTC 29 July 2015, during which the major portion of the rainfall was observed. A slowly moving upper-level subtropical trough and the associated surface low in the northern Gulf of Tonkin promoted sustained moisture convergence and convection over northeastern Vietnam. The humidity was advected in a moisture transport band lying across the Indochina Peninsula and emanating from a tropical storm over the Bay of Bengal. Analyses of t.
The shaped pulses control and operation on the SG-III prototype facility

The laser driven inertial confined fusion experiments require careful temporal shape control of the laser pulse. Two approaches are introduced to improve the accuracy and efficiency of the close loop feedback system for long term operation in TIL; the first one is a statistical model to analyze the variation of the parameters obtained from previous shots, the other is a matrix algorithm proposed to relate the electrical signal and the impulse amplitudes. With the model and algorithm applied in the pulse shaping in TIL, a variety of shaped pulses were produced with a 10% precision in half an hour for almost three years under different circumstance.
Non‐invasive assessment of intracranial pressure

Monitoring of intracranial pressure (ICP) is invaluable in the management of neurosurgical and neurological critically ill patients. Invasive measurement of ventricular or parenchymal pressure is considered the gold standard for accurate measurement of ICP but is not always possible due to certain risks. Therefore, the availability of accurate methods to non‐invasively estimate ICP has the potential to improve the management of these vulnerable patients. This review provides a comparative description of different methods for non‐invasive ICP measurement. Current methods are based on changes associated with increased ICP, both morphological (assessed with magnetic resonance, computed tomography, ultrasound, and fundoscopy) and physiological (assessed with transcranial and ophthalmic Doppler, tympanometry, near‐infrared spectroscopy, electroencephalography, visual‐evoked potentials, and otoacoustic emissions assessment). At present, none of the non‐invasive techniques alone seem suitable as a substitute for invasive monitoring. However, following the present analysis and considerations upon each technique, we propose a possible flowchart based on the combination of non‐invasive techniques including those characterizing morphologic changes (e.g., repetitive US measurements of ONSD) and those characterizing physiological changes (e.g., continuous TCD). Such an integrated approach, which still needs to be validated in clinical practice, could aid in deciding whether to place an invasive monitor, or how to titrate therapy when invasive ICP measurement is contraindicated or unavailable.
Session 4a Senisor Networks Quantization for Distributed Estimation in Large Scale Sensor Networks

oEE We study the problem of quantization for distributed parameter estimation in large scale sensor networks. Assuming a Maximum Likelihood estimator at the fusion center, we show that the Fisher Information is maximized by a scoreD 2 function quantizer. This provides a tight bound on best possible MSE for any unbiased estimator. Furthermore, we Y. show that for a general convex metric, the optimal quantizer belongs to the class of score function quantizers. We also discuss a few practical applications of our results in optif(Y, Y.) mizing estimation performance in distributed and temporal estimation problems. 0
Operator methods for calculating Lyapunov values in problems on local bifurcations of dynamical systems

In the work we consider basic scenarios of local bifurcations in dynamical systems. We study the systems described by autonomous differential equations, discrete equations, as well as by non-autonomous periodic equations. We provide new formulae for calculating Lyapunov values. The formulae are obtained on the basis of a general operator approach for studying local bifurcations and they do not assume passing to normal forms and using the theorems on a central manifold. This method allows us to obtain new bifurcation formulae for studying main scenarios of local bifurcations. In the work we show how these bifurcation formulae lead one to new formulae for calculating Lyapunov values in problems on equilibria bifurcation, in Andronov-Hopf problems, in problems of doubling period, in problems on forced oscillations, etc. In the paper, the main attention is paid to obtain the first and the second Lyapunov value. The proposed approach allows us obtain Lyapunov values of higher order. As an application of the obtained formulae, in the paper we analyze basic scenarios of local bifurcations. We consider the problems on the direction of bifurcations, on stability of emerging solutions, on leading asymptotics for the solutions, etc. As an example, we calculate the Lyapunov values for Andronov-Hopf bifurcation in Langford system and for the problems on doubling period in Henon model.
Effect of Personality Traits on Sustained Remission Among Patients with Major Depression: A 12-Month Prospective Study

Purpose: Major depression is a heterogeneous disorder. Therefore, careful evaluation and comprehensive assessment are crucial elements for achieving remission. Personality traits influence prognosis and treatment outcomes, but there is not enough evidence on the association between personality traits and sustained remission (SR). Hence, the present study aimed to evaluate the relationship between personality traits and SR among patients with major depression
Deceptive Infusion of Data: A Novel Data Masking Paradigm for High-Valued Systems

Abstract This work addresses how analysts of a high-valued system (e.g., nuclear reactor, aircraft turbine designs) can extract findable, accessible, interoperable, and reusable scientific data for public dissemination to artificial intelligence and machine-learning (AI/ML) researchers in a manner that cannot be reverse-engineered, potentially compromising sensitive or proprietary information. State-of-the-art methods address this problem through data masking techniques, which allow access to a subset of the information while obfuscating private and potentially identifying information (e.g., personally identifying medical data). These methods are unsuitable for industrial engineering processes, where AI/ML tools need explicit access to all the data available to draw the best inference about the system to help optimize its performance and identify its vulnerabilities, etc. Our novel deceptive infusion of data paradigm provides a solution to this conundrum by developing a mathematical approach capable of concealing the identity of the system while providing full access to all the features employed by AI/ML tools to ensure their optimal performance.
A Layered Particle-Based Fluid Model for Real-Time Rendering of Water

For rendering we have developed a layer-based model which is capable of treating all cases shown on the left side. By partitioning the fluid into a foam layer and two water layers, one in front and one behind the foam, we can simulate foam inside water, as happens at the end of a waterfall. Since water and foam are volumetric phenomena, the amount of water respectively foam between two layer surfaces is determined in order to allow correct compositing and attenuation. The thickness T of a layer is determined by additively splatting every particle belonging to the volume into a buffer. This thesis presents a physically based real-time water simulation and rendering method that brings volumetric foam to the real-time domain. Foam is an important visual element in most situations where real-time fluids are used and there exists as yet no realistic realtime method for volumetric foam. Our algorithm is based on a previously implemented screen space fluid rendering approach which renders the surface of particlebased fluids, smoothes the surface to prevent the fluid from looking jelly-like and is not based on polygonization.
An Approach to Generate Variable Keys based on Vertical Horizontal Mechanism

Several mechanisms have been proposed over time to enhance the security requirements of the cryptosystem. In 2006, a novel approach have been introduced in this context and termed as Automatic Variable Key (AVK). In such approaches the principal goal is to make the key variable in nature. The continuation of these a scheme has been proposed in this paper based on vertical horizontal (VH) mechanism. A comparative study has been carried out with the related scheme for proving the superiority. To verify the randomness among the auto generated keys some tests have also been performed based on National Institute of Standards Technology (NIST) statistical tools.