Miracle-dz/UniFAR-FTUs huggingface dataset:
Economocracy vs Capitalism

This work is an analysis of the Economocracy and Representative Economocracy. A reformed economic system is required for the transformation of global grown debt to sustainable levels. The challenge to avoid economic worldwide deadlock yields the emerging need for economocracy as a premium democracy, serving with that way social stability. The economic system of Economocracy is based on the free market but simultaneously faces all disturbances from wars, depressions, economic crises, and interest rates. Economocracy is the proportional system of Democracy in a political view, in the case of the economy. It is the only economic system that supports pure Democracy and can face global dept, healthcare problems, third world poverty, appropriate space programs, and any economic dysfunction which be an obstacle to pure democracy. This is the first peer-review publication of Economocracy after seven years of birth of Economocracy by working papers. This paper aims to clarify that capitalism has fundamental problems in many aspects. Primarily it is not plausible to regime any dysfunction of the local economies and in general at a worldwide level. Well-standing democracy cannot exist without economocracy, meaning that the control of the economy from the people and for the people, is the balanced way for economic affairs and then democracy. The interest rates and the global debt it is not plausible to be served by capitalism. The Economocracy is formed on the aspect of an economic unit globally that will control the global economic uncontrolled problems. Capitalism just moving the economic obligations or the future by depressing countries, and generations of people, and as result, it is to have wars, not pure democracies, and unlimited exploitation of the planet's resources without barriers, for profits. Also, economocracy can protect democracy from authoritarianism, as countries that do not comply with the aspects of Economocracy and democracy will not receive the “free amounts” of money for the enforcement of lower income, for medical care system, and other purposes. The purpose of the papers is to show is to present this economic system, using theoretical and mathematical terms and analysis. For this reason, is used a hypothetical scenario, but with real amounts, showing how will function Economocracy. The results comply with the initial hypothesis that global debt and interest rates could be covered by economocracy without causing inflation, in fact with way could be faced inflation from a plausible increase in prices, as this amount of money going for special purposes and don’t affect the banking system, the market, the level of prices or in the general economy.
APPLICATION BASED QR CODE SCAN FOR STUDENTS’ ATTENDANCE SYSTEM USING IMAGE PROCESSING

: In all the fields we use smartphones and nowadays it has become part and parcel of our life. We use many updated technologies and materials for studying higher education like applications, online classes, tablets digital learning, etc. All age groups of this generation are more familiar with smartphones. We thought to increase lecture time in classes and universities by this automated android application which uses QR code scans for putting the students’ attendance. The QR code is displayed by the lecturer and it is scanned by the students for putting their attendance. This helps to maintain the system of registering students digitally and saves time, it verifies student mobile numbers and it cannot be personified. By this, we can have a systematic way and digital data is maintained and can be viewed anytime.
Comorbidities and Risk Factors of Patients Diagnosed with CRC after Positive Fecal Test in Real Life

Simple Summary Occult blood in stool is the screening modality of choice for colorectal cancer in most countries. Only a small percentage of patients with positive results of this test will have colorectal cancer. In the present study, we wanted to determine risk factors for having colorectal cancer among patients with positive fecal testing. We found that age, anemia, family history of colorectal cancer, and previous colorectal cancer are factors for having colorectal cancer among those with positive fecal testing. The practical implication of the findings of the present study is that people who have positive fecal testing and one of the found risk factors should be prioritized for colonoscopy scheduling. Abstract (1) Background: Fecal occult blood test (FOBT) is the modality of choice in most countries for colorectal cancer (CRC) screening. We aimed to investigate the risk factors for CRC among patients with a positive FOBT in real life. (2) Methods: This was a retrospective study that included patients who tested positive for FOBT. Data regarding the comorbidities and laboratories were collected and compared between CRC and non-CRC groups. (3) Results: Positive FOBT was found among 45,500 (5.36%) subjects and CRC was found in 1502 (3.3%). CRC patients were older, age 62.7 ± 7.15 years compared with 59.33 ± 7.3 years (p < 0.001), and had significantly higher rates of hypertension (48.4% vs. 44.7%, p = 0.002), iron-deficiency anemia (20.6% vs. 16.4, p < 0.001), family history of CRC (7.3% vs. 5.1%, p < 0.001), and previous CRC (6.5% vs. 0.3%, p < 0.001). Lower levels of hemoglobin, iron, and ferritin were found in the CRC group. Age, family history of CRC, and previous CRC were found to be significant risk factors for diagnosis of CRC after positive FOBT with OR of 1.057, 1.4, and 15.9, respectively. (4) Conclusions: Iron-deficiency anemia, family history of CRC, previous colorectal cancer, and low hemoglobin, iron, and ferritin levels should direct physicians to give high priority to colonoscopy scheduling.
Statistical mechanics with non-Hermitian Hamiltonians and its applications for zonal flow of plasma interacting with drift waves Electron transport model applied for STEP reactor prediction

Spherical tokamaks appear to have several practical advantages (compactness, low magnetic field, stability for plasma and so on) with respect to the traditional tokamaks and for this reason have attracted attention and generated strong interest in recent years. This interest led to the construction of different spherical tokamaks such as NSTX, MAST, MAST-U and most recently to the development of the STEP project in which a reactor concept with major radius R=3.6 and an aspect ratio A=1.8 is assessing. STEP is designed to operate in a fully non-inductive regime and to generate a net electricity starting from a fusion power Pf ~1.5 GW. The design of the reactor can rely on the experience gained from the existing compact spherical tokamaks that have shown how the problems and challenges differ from those in conventional tokamaks. Concerning this, one of the most important challenges is to understand the anomalous electron transport observed in spherical machines [1] and that can have a big impact on the STEP design. A relevant mechanism responsible for the electron transport seems to be the microtearing instability that, due to the lower magnetic field value in a spherical tokamak, saturates at high amplitude values [2]. This instability can conduct to a global stochastic behaviour of the magnetic field lines with a strong impact on particles and heat transport. It is important to note that there is no existing exhaustive theory able to describe the turbulent diffusion of plasma in a stochastic magnetic field. However, the electron thermal conductivity ꭓe in the presence of a stochastic magnetic field can be predicted on the basis of a basic model developed by Rechester and Rosenbluth (RR) [3]. This model assumes that decorrelation effects are due to the stochastic instabilities and not to the collision of particles whose random walk plays the role of a seed diffusion. Consequently, the transverse diffusion coefficient is related to a magnetic diffusion and to a longitudinal correlation length L. The RR model has been implemented in the integrated modelling JINTRAC tool and tested together with TGLF transport code in order to predict the electron thermal conductivity ꭓe in MAST and STEP. Thus, by using selected MAST shot cases we have calibrated the model and we have investigated various possible configurations of the STEP flat-top scenario. Moreover, by taking into account effects of temperature and density length scales, we have studied various stochastic regimes with different models for L. In particular, we have focused attention on effects related to the Kadomtsev and Pogutse assumption [4]. This latter differs from that of the RR model for the importance given to the collisional diffusion in determining the decorrelation distance travelled by a particle between two magnetic field lines.
DEEP CONVOLUTION NEURAL NETWORK FOR BIGDATA CATHARTIC PICTURE CLASSIFICATION

Cathartic picture classification is critical in clinical teaching and treatment tasks. The conventional method, on the other hand, has already reached its performance limit. Furthermore, their application necessitates a significant investment of time and effort in the extraction and selection of taxonomic features. Deep convolution neural networks are a new machine learning method that has shown promise for a variety of classification tasks. Notably, on various image classification tasks, the agglomeration neural network dominates with the simplest results. However, medical image datasets are difficult to create because labelling them requires a high level of expertise. As a result, this paper investigates the use of a cumulative neural network (CNN) algorithm to classify pneumonia using a chest X-ray dataset. Three techniques were tested experimentally. It is a linear support vector machine classifier with local orientation and rotational freedom functions, and it communicates learning across two cumulative neural network models. Data augmentation is a data pre-processing method that can be used with any or all of the three methods. The results of the tests show that increasing the data is a good way for all three algorithms to improve their performance. Transfer learning, on the other hand, may be a more useful classification method on an extremely small data set than a support vector machine with strongly directed independent key features and binary rotation; however, to improve performance, specific features must be retrained on an alternate target dataset. The second important factor may be the network's relative complexity.
The Community Explorer: Bringing Populations’ Diversity into Policy Discussions, One County at a Time

IZA Policy Paper No. 190 SEPTEMBER 2022 The Community Explorer: Bringing Populations’ Diversity into Policy Discussions, One County at a Time The Community Explorer provides new insights and data on the characteristics and diversity of the US population. Using machine learning methods, it synthesizes the information of 751 variables across 3,142 counties from the US Census Bureau’s American Community Survey into 17 communities. Each one of these communities has a distinctive profile that combines demographic, socio-economic, and cultural behavioral determinants while not being geographically bounded. We encourage policy makers and researchers to make use of the results of our analysis. The Community Explorer dashboard provides the location of these profiles, allowing for targeted deployment of community interventions and, more broadly, increasing the understanding of socioeconomic gaps withing the US. JEL Classification: D31, J08, J10,O12, R10
Multi-User Linearly Separable Computation: A Coding Theoretic Approach

In this work, we investigate the problem of multi-user linearly separable function computation, where N servers help compute the desired functions (jobs) of K users. In this setting each desired function can be written as a linear combination of up to L (generally non-linear) sub-functions. Each server computes some of the sub-tasks, and communicates a linear combination of its computed outputs (files) in a single-shot to some of the users, then each user linearly combines its received data in order to recover its desired function. We explore the range of the optimal computation cost via establishing a novel relationship between our problem, syndrome decoding and covering codes. The work reveals that in the limit of large N, the optimal computation cost — in the form of the maximum fraction of all servers that must compute any subfunction — is lower bounded as $\gamma \geq H_q^{ - 1}\left( {\frac{{{{\log }_q}(L)}}{N}} \right)$, for any fixed logq(L)/N. The result reveals the role of the computational rate logq(L)/N, which cannot exceed what one might call the computational capacity Hq(γ) of the system.
Gambling with superconducting fluctuations

Superconducting nanowires and Josephson junctions, when biased close to superconducting critical current, can switch to a non-zero voltage state by thermal or quantum fluctuations. The process is understood as an escape of a Brownian particle from a metastable state. Since this effect is fully stochastic, we propose to use it for generating random numbers. We present protocol for obtaining random numbers and test the experimentally harvested data for their fidelity.
Is Time Travel Too Strange to Be Possible? - Determinism and Indeterminism on Closed Timelike Curves

Notoriously, the Einstein equations of general relativity have solutions in which closed timelike curves (CTCs) occur. On these curves time loops back onto itself, which has exotic consequences: for example, traveling back into one's own past becomes possible. However, in order to make time travel stories consistent constraints have to be satisfied, which prevents seemingly ordinary and plausible processes from occurring. This, and several other "unphysical" features, have motivated many authors to exclude solutions with CTCs from consideration, e.g. by conjecturing a chronology protection law. In this contribution we shall investigate the nature of one particular class of exotic consequences of CTCs, namely those involving unexpected cases of indeterminism or determinism. Indeterminism arises even against the backdrop of the usual deterministic physical theories when CTCs do not cross spacelike hypersurfaces outside of a limited CTC-region|such hypersurfaces fail to be Cauchy surfaces. We shall compare this CTC-indeterminism with four other types of indeterminism that have been discussed in the philosophy of physics literature: quantum indeterminism, the indeterminism of the hole argument, non-uniqueness of solutions of differential equations (as in Norton's dome) and lack of predictability due to insuffcient data. By contrast, a certain kind of determinism appears to arise when an indeterministic theory is applied on a CTC: things cannot be different from what they already were. Again we shall make comparisons, this time with other cases of determination in physics. We shall argue that on further consideration both this indeterminism and determinism on CTCs turn out to possess analogues in other, familiar areas of physics. CTC- indeterminism is close to the epistemological indeterminism we know from statistical physics, while the "fixedness" typical of CTC-determinism is pervasive in physics. CTC- determinism and CTC-indeterminism therefore do not provide incontrovertible grounds for rejecting CTCs as conceptually inadmissible.
Improved optomechanical disk resonator sitting on a pedestal mechanical shield

We experimentally demonstrate the controlled enhancement of the mechanical quality factor Q of gallium arsenide disk optomechanical resonators. Disks vibrating at 1.3 GHz with a mechanical shield integrated in their pedestal show a Q improvement by a factor 10–16. The structure is modeled numerically and different modes of vibration are observed, which shed light on the Q enhancement mechanism. An optimized double-disk geometry is presented that promises Q above the million for a large parameter range.
On the Bloch Theorem and Orthogonality Relations

Bloch theorem for a periodic operator is being revisited here, and we notice extra orthogonality relationships. It is shown that solutions are bi-periodic, in the sense that eigenfunctions are periodic with respect to one argument, and pseudo-periodic with respect to the other. An additional kind of symmetry between r-space and k-space exists between the envelope and eignfunctions not apparently noticed before, which allows to define new invertible modified Wannier functions. As opposed to the Wannier functions in r-space, these modified Wannier functions are defined in the k-spaces, but satisfy similar basic properties. These could result in new algorithms and other novel applications in the computational tools of periodic structures.
A Survey on WELFake: Word Embedding over Linguistic Features for Fake News Detection

: One of the most significant innovations is the Internet, and most people utilize it. These individuals use this for various purposes. For these people, there are several different social networking sites. Any user can submit messages or distribute information on these internet forums. Users or their postings are not guaranteed on such forums. Therefore, some individuals attempt to distribute fake information through these forums. Such false stories are lies to an individual, a community, an organization
Infrared propagators of Yang-Mills theory from perturbation theory

We show that the correlation functions of ghosts and gluons for the pure Yang-Mills theory in Landau gauge can be accurately reproduced for all momenta by a one-loop calculation. The key point is to use a massive extension of the Faddeev-Popov action. The agreement with lattice simulation is excellent in d=4. The one-loop calculation also reproduces all the characteristic features of the lattice simulations in d=3 and naturally explains the peculiarities of the propagators in d=2.
Current State-of-the-Art in Membrane Formation from Ultra-High Molecular Weight Polyethylene

One of the materials that attracts attention as a potential material for membrane formation is ultrahigh molecular weight polyethylene (UHMWPE). One potential material for membrane formation is ultrahigh molecular weight polyethylene (UHMWPE). The present review summarizes the results of studies carried out over the last 30 years in the field of preparation, modification and structure and property control of membranes made from ultrahigh molecular weight polyethylene. The review also presents a classification of the methods of membrane formation from this polymer and analyzes the conventional (based on the analysis of incomplete phase diagrams) and alternative (based on the analysis of phase diagrams supplemented by a boundary line reflecting the polymer swelling degree dependence on temperature) physicochemical concepts of the thermally induced phase separation (TIPS) method used to prepare UHMWPE membranes. It also considers the main ways to control the structure and properties of UHMWPE membranes obtained by TIPS and the original variations of this method. This review discusses the current challenges in UHMWPE membrane formation, such as the preparation of a homogeneous solution and membrane shrinkage. Finally, the article speculates about the modification and application of UHMWPE membranes and further development prospects. Thus, this paper summarizes the achievements in all aspects of UHMWPE membrane studies.
INSIGHTS INTO THE CEPHEID DISTANCE SCALE

We present a detailed investigation of the Cepheid distance scale by using both theory and observations. Through the use of pulsation models for fundamental mode Cepheids, we found that the slope of the period–luminosity (P–L) relation covering the entire period range (0.40 ⩽ log P ⩽ 2.0) becomes steeper when moving from optical to near-infrared (NIR) bands, and that the metallicity dependence of the slope decreases from the B- to the K band. The sign of the metallicity dependence for the slopes of the P–LV and P–LI relation is at odds with some recent empirical estimates. We determined new homogeneous estimates of V- and I-band slopes for 87 independent Cepheid data sets belonging to 48 external galaxies with nebular oxygen abundance 7.5 ⩽ 12 + log (O/H) ⩽ 8.9. By using Cepheid samples including more than 20 Cepheids, the χ2 test indicates that the hypothesis of a steepening of the P–LV,I relations with increased metal content can be discarded at the 99% level. On the contrary, the observed slopes agree with the metallicity trend predicted by pulsation models, i.e., the slope is roughly constant for galaxies with 12+log (O/H) < 8.17 and becomes shallower in the metal-rich regime, with confidence levels of 62% and 92%, respectively. The χ2 test concerning the hypothesis that the slope does not depend on metallicity gives confidence levels either similar (PLV, 62%) or smaller (PLI, 67%). We investigated the dependence of the period–Wesenheit (P–W) relations on the metal content and we found that the slopes of optical and NIR P–W relations in external galaxies are similar to the slopes of Large Magellanic Cloud (LMC) Cepheids. They also agree with the theoretical predictions suggesting that the slopes of the P–W relations are independent of the metal content. On this ground, the P–W relations provide a robust method to determine distance moduli relative to the LMC, but theory and observations indicate that the metallicity dependence of the zero point in the different passbands has to be taken into account. To constrain this effect, we compared the independent set of galaxy distances provided by Rizzi et al. using the tip of the red giant branch with our homogeneous set of extragalactic Cepheid distances based on the P–W relations. We found that the metallicity correction on distances based on the P–WBV relation is γB,V = −0.52 mag dex−1, whereas it is vanishing for the distances based on the P–WVI and on the P–WJK relations. These findings fully support Cepheid theoretical predictions.
A non-equilibrium ortho-to-para ratio of water in the Orion PDR

The ortho-to-para ratio (OPR) of H2O is lower than 1 at low temperature ( 40 K). The OPR of H2O is thus useful to study the formation mechanism of water. The measured OPRs of H2O is 2-3 in solar system comets (Mumma & Charnley, 2011) and in the interstellar medium (Lis et al. 2010; Flagey et al. 2013). In the protoplanetary disk TW Hya, the OPR is ~ 0.77, which is much lower than the interstellar value (Hogerheijde et al. 2011). We investigate the OPR of water in the Orion PDR (Photon-dominated region), at the Orion Bar and Orion S positions, using data from the HEXOS (Herschel/HIFI Observations of EXtraOrdinary Sources, PI: E. Bergin) key program for the HIFI instrument onboard the Herschel Space Observatory. We detect the ground-state lines of ortho- and para-H2O-18 in the Orion Bar and Orion S and we estimate the column densities using LTE and non-LTE methods. Based on our calculations, the OPR in the Orion Bar is 0.1-0.5, which is well below that of TW Hya. Toward Orion S, our OPR estimates range from 0.1 to 4, depending on the gas temperature and density. This low OPR in the Orion Bar is inconsistent with gas phase formation and with thermal evaporation from dust grains, but it may be explained by photodesorption (Andersson & van Dishoeck 2008; Arasa et al. 2010).