Miracle-dz/UniFAR-FTUs huggingface dataset:
Lifetime of the 4s4p 3P10 Level in Kr VII

We present a calculation, using configuration interaction wave functions, of the lifetime of 4s4p 3P10 in Kr VII. Our value of 47 ns is in excellent agreement with experiment. It is shown that this resolution of the disagreement between experiment and previous calculations is principally due to our inclusion of core polarization effects. A number of other transitions are also considered.
PDX-1: A Promising Therapeutic Target to Reverse Diabetes

The pancreatic duodenum homeobox-1 (PDX-1) is a transcription factor encoded by a Hox-like homeodomain gene that plays a crucial role in pancreatic development, β-cell differentiation, and the maintenance of mature β-cell functions. Research on the relationship between PDX-1 and diabetes has gained much attention because of the increasing prevalence of diabetes melitus (DM). Recent studies have shown that the overexpression of PDX-1 regulates pancreatic development and promotes β-cell differentiation and insulin secretion. It also plays a vital role in cell remodeling, gene editing, and drug development. Conversely, the absence of PDX-1 increases susceptibility to DM. Therefore, in this review, we summarized the role of PDX-1 in pancreatic development and the pathogenesis of DM. A better understanding of PDX-1 will deepen our knowledge of the pathophysiology of DM and provide a scientific basis for exploring PDX-1 as a potential target for treating diabetes.
The Effect of Prebiotics and Oral Anti-Diabetic Agents on Gut Microbiome in Patients with Type 2 Diabetes: A Systematic Review and Network Meta-Analysis of Randomised Controlled Trials

Background: Nutritional interventions such as the use of prebiotics can promote eubiosis of gut microbiome and maintain glucose homeostasis in patients with type 2 diabetes (T2D). However, it would appear that results of the effects of prebiotics on the community of microbes in the gut are not consistent. Aim: To examine the effect of prebiotics and oral antidiabetic agents on gut microbiome in patients with T2D. Methods: The PRISMA Extension Statement for Systematic Reviews and Network Meta-analyses was used to conduct this review. Searches were carried out in EMBASE, EBSCO-host databases, Google Scholar and the reference lists of articles for studies that are relevant to the research question, from database inception to 15 August 2022. The search strategy was based on PICOS framework. Network Meta-analysis which allows the estimation of relative treatment effects by combing both direct trial evidence (e.g., treatment A vs. treatment B) and indirect evidence was conducted. Furthermore, pairwise meta-analysis was also carried out to estimate effect sizes based on head-to-head comparisons of treatments and/or control conditions. Results: Findings of the Network meta-analysis revealed that prebiotics significantly reduced HbA1c compared with control and the SMD was −0.43 [95% CI, −0.77, −0.08; p = 0.02], whereas there was no significant difference (p > 0.05) between the other treatments and control. In addition, anti-diabetic agents including glipizide and metformin also reduced HbA1C, although these were not significantly different (p > 0.05) from control. While prebiotics promoted Bifidobacterium and Akkermansia, the improvements were not significantly different (p > 0.05) from control. On the other hand, metformin decreased the relative abundance of Bifidobacterium, but increased Lactobacillus and Akkermansia, although the differences were not significant (p > 0.05) compared with control. With respect to fasting blood glucose and BMI, the effects of prebiotics and oral antidiabetic agents did not differ significantly (p > 0.05) from controls. Conclusions: The findings of the systematic review and Network meta-analysis demonstrated prebiotics were significantly (p < 0.05) more effective in reducing HbA1c than control in patients with T2D. However, the effects of prebiotics and oral antidiabetic agents did not differ significantly (p > 0.05) from the controls in relation to fasting blood glucose, post-prandial blood glucose, body mass index and the genera of gut bacteria examined. More studies are required to fully investigate the effects of prebiotics and oral antidiabetic agents in patients with T2D
On the numerical solution of one-dimensional PDEs using adaptive methods based on equidistribution

Numerical experiments are described that illustrate some important features of the performance of moving mesh methods for solving one-dimensional partial differential equations (PDEs). The particular method considered here is an adaptive finite difference method based on the equidistribution of a monitor function and it is one of the moving mesh methods proposed by W. Huang, Y. Ren, and R. D. Russell (1994, SIAM J. Numer. Anal.31 709). We show how the accuracy of the computations is strongly dependent on the choice of monitor function, and we present a monitor function that yields an optimal rate of convergence. Motivated by efficiency considerations for problems in two or more space dimensions, we demonstrate a robust and efficient algorithm in which the mesh equations are uncoupled from the physical PDE. The accuracy and efficiency of the various formulations of the algorithm are considered and a novel automatic time-step control mechanism is integrated into the scheme.
Optimal Coordination for Multiple Network-Constrained VPPs via Multi-Agent Deep Reinforcement Learning

This paper proposes a multi-agent deep reinforcement learning method to coordinate multiple microgrids owned virtual power plants (VPPs) connected in the active distribution network. A communication-based independent twin delayed deep deterministic policy gradient method is proposed to implement a partially observable Markov game for coordinating multiple VPPs (agents). The decentralized training process can protect the privacy of the agent-based entity participating in the framework, and each entity can share equal rights with simultaneous decision-making. Internal markets are proposed in our framework that the price contains the information of energy trading and network information. The price quota curve based external market is proposed for further exploiting distributed energy resource operation potential to enable VPPs with market power to be price-makers. The proposed method has been verified in a modified IEEE test system to prove its effectiveness. The results confirm that the proposed framework can simultaneously improve the operation cost and maintain network operational safety.
Salivary Biomarkers in Periodontitis Post Scaling and Root Planing

Objectives: This study was conducted to evaluate the levels of salivary uric acid and arginase in patients with periodontitis, generalized gingivitis, and in healthy individuals. Then, the effects of non-surgical periodontal therapy on levels of salivary arginase and uric acid were also investigated. Methods: A total of 60 subjects were divided into three groups based on periodontal health: group I comprised 20 healthy individuals; group II comprised 20 subjects who had generalized gingivitis; group III comprised 20 subjects who had generalized periodontitis. On day 0, the clinical examination of periodontal status was recorded, following which saliva samples were collected. Group II and group III subjects underwent non-surgical periodontal therapy. These patients were recalled on day 30 to collect saliva samples. The periodontal parameters were reassessed on day 90, and saliva samples were collected for analysis of salivary arginase and uric acid levels. Results: Group II and group III showed improvement in clinical parameters following non-surgical periodontal therapy on the 90th day. The MGI score, PPD, and CAL showed improvement. On day 0, at baseline, salivary arginase levels in group III and group II were higher than those in healthy subjects, whereas on day 0, salivary uric acid levels in group III and group II were lower than those in healthy subjects. Both on day 0 and day 90, the salivary arginase level showed a positive correlation with the periodontal parameters, whereas the salivary uric acid level was positively correlated with the periodontal parameters on day 90. Conclusion: the level of salivary arginase was a pro-inflammatory marker and a raised level of salivary uric acid was an anti-inflammatory marker following periodontal therapy, suggesting their pivotal role in assessing periodontal status and evaluation of treatment outcome.
Linkedin Social Network: Benefits and Prospects for the Media

The purpose of the study. To identify the features of the social network LinkedIn and find out its prospects for use to promote media content and image.Research methodology. The research used general scientific methods: generalization, synthesis, analysis, comparison, abstraction, and typology, which allowed us to analyze the social network LinkedIn, as well as to determine its benefits for promoting media content and image formation. To search for media that use the social network LinkedIn to promote their content and image, we used the internal search of the selected social network. During the research it was found that LinkedIn actively maintains its pages of 2 media groups – Media Group Ukraine LLC (TV channels «Ukraine», «Ukraine 24», «UFO TV», «Indigo TV», «Football 1/2/3», Ukraine 1 / Ukraine 2, NLO TV 2, «34 TV Channel» and others) and 1+1 media (TV channels «1+1», «2+2», «TET», «PlusPlus», «1+1 International», «Union TV», «Curlers» and others). Accounts of Ukrainian TV channels, radio, magazines, and newspapers were also found on LinkedIn.Results. The LinkedIn social network is a promising platform primarily for shaping the image of the media in general, and not just as a successful employer. As well as many foreign media use it to inform subscribers and increase traffic to the media site. LinkedIn media is used for various purposes. It is also convenient to use to keep abreast of all innovations in the media market and monitor the success of competitors.Novelty. The LinkedIn social network is considered a professional social platform, it is often identified as a platform for finding employees. Ukrainian mass media are reluctant to create accounts and publish content in it. Even though it can be a promising platform for them to form the image of the media, not only as a reliable employer but also as a successful media. We came to this decision after analyzing the pages of Ukrainian and foreign media on the social network LinkedIn. Also, while searching for research on a given topic, we could not find the works of Ukrainian scientists who would consider LinkedIn as a platform for promoting media content and image formation. This topic is also not popular and well-developed among foreign scholars.Key words: social networks, LinkedIn, image formation, content promotion, mass media.
The Influence Of Corporate Social Responsibility On Firm Value Through Corporate Reputation And Financial Performance

This research aims to examine and analyze the direct and indirect effects of the variables of Corporate Social Responsibility (CSR), Corporate Reputation, and Financial Performance on Firm Value. This type of research is explanatory research with quantitative methods. The sampling technique used by the researcher is the non-probability sampling method. The research sample comprised 18 companies listed on the Indonesia Stock Exchange from 2017 to 2019. This research uses secondary data. The data analysis method used Path Analysis with SPSS software. The study's results to examine the direct effect show that CSR has a significant positive impact on corporate reputation. CSR, corporate reputation, and financial performance have a significant positive impact on firm value. CSR has no significant effect on financial performance. The results of the indirect effect test show that CSR on firm value through financial performance has no significant impact. The influence of CSR on the firm value through the corporate reputation has a significant effect. Therefore, only the Corporate reputation can mediate the relationship between the influence of CSR on firm value. This study shows investors and company management the importance of implementing and disclosing Corporate Social Responsibility in companies related to the benefits of increasing firm value.
Continuous Groundwater Velocity Fields and Path Lines in Linear, Bilinear, and Trilinear Finite Elements

Darcy velocity fields obtained from finite element solutions of heads in groundwater flow exhibit discontinuities at element boundaries, thus giving rise to inaccuracies in path line construction. Several methods have been developed to resolve those inaccuracies including global postprocessing of velocity fields, mixed hybrid finite element formulations, and stream function formulations. All of these techniques either lead to a considerable increase in the computational effort or are not general enough for all purposes. The point of view taken here is that standard finite element flow models yield exact water balances, which in the usual approach to path line computation are not fully used. By starting out from patches with flux-conserving boundaries, a new postprocessing procedure is derived that allows construction of a continuous flux distribution over the whole model domain. In this procedure only the head gradients of adjacent elements are used, thus avoiding the solution of another global system of equations. Furthermore, application of a stream function interpolation inside each patch allows the fast computation of path lines without any time stepping. The path lines computed with the proposed procedure are compared to path lines computed by usual particle tracking and examples are presented showing that the new method is vastly superior to traditional particle tracking.
Computerized training of executive functions in a child with specific learning disorders: a descriptive study

Executive function disorders are more bound to occur in children with specific learning disorders (SLD). In this population deficits in executive functioning are associated with worse clinical conditions, maladaptive behaviors, and problems with school achievement. Here, are reported the effects of the training targeting these higher-order processes through computer games in a child with a diagnosis of SLD treated in our rehabilitation center. Results show an improvement after a 6-month training program for all the executive domains.
On the Existence of Asymptotic-lp Structures in Banach Spaces

Abstract It is shown that if a Banach space is saturated with infinite dimensional subspaces in which all “special” $n$ -tuples of vectors are equivalent with constants independent of $n$ -tuples and of $n$ , then the space contains asymptotic- ${{l}_{p}}$ subspaces for some $1\,\le \,p\,\le \,\infty $ . This extends a result by Figiel, Frankiewicz, Komorowski and Ryll-Nardzewski.
Noise and Vibration Control Engineering: Principles and Applications

Preface. Contributors. 1. Basic Acoustical Quantities: Levels and Decibels (Leo L. Beranek). 2. Waves and Impedances (Leo L. Beranek). 3. Data Analysis (Allan G. Piersol). 4. Determination of Sound Power Levels and Directivity of Noise Sources (William W. Lang, George C. Maling, Jr., Matthew A. Nobile, and Jiri Tichy). 5. Outdoor Sound Propagation (Ulrich J. Kurze and Grant S. Anderson). 6. Sound in Small Enclosures (Donald J. Nefske and Shung H. Sung). 7. Sound in Rooms (Murray Hodgson and John Bradley). 8. Sound-Absorbing Materials and Sound Absorbers (Keith Attenborough and Istvan L. Ver). 9. Passive Silencers (M. L. Munjal, Anthony G. Galaitsis and Istvan L. Ver). 10. Sound Generation (Istvan L. Ver). 11. Interaction of Sound Waves with Solid Structures (Istvan L. Ver). 12. Enclosures, Cabins, and Wrappings (Istvan L. Ver). 13. Vibration Isolation (Eric E. Ungar and Jeffrey A. Zapfe). 14. Structural Damping (Eric E. Ungar and Jeffrey A. Zapfe). 15. Noise of Gas Flows (H. D. Baumann and W. B. Coney). 16. Prediction of Machinery Noise (Eric W. Wood and James D. Barnes). 17. Noise Control in Heating, Ventilating, and Air Conditioning Systems (Alan T. Fry and Douglas H. Sturz). 18. Active Control of Noise and Vibration (Ronald Coleman and Paul J. Remington). 19. Damage Risk Criteria for Hearing and Human Body Vibration (Suzanne D. Smith, Charles W. Nixon and Henning E. Von Gierke). 20. Criteria for Noise in Buildings and Communities (Leo L. Beranek). 21. Acoustical Standards for Noise and Vibration Control (Angelo Campanella, Paul Schomer and Laura Ann Wilber). Appendix A. General References. Appendix B. American System of Units. Appendix C. Conversion Factors. Index.
Enhanced Diagnostics for Corneal Ectatic Diseases: The Whats, the Whys, and the Hows

There are different fundamental diagnostic strategies for patients with ectatic corneal diseases (ECDs): screening, confirmation of the diagnosis, classification of the type of ECD, severity staging, prognostic assessment, and clinical follow-up. The conscious application of such strategies enables individualized treatments. The need for improved diagnostics of ECD is related to the advent of therapeutic refractive procedures that are considered prior to keratoplasty. Among such less invasive procedures, we include corneal crosslinking, customized ablations, and intracorneal ring segment implantation. Besides the paradigm shift in managing patients with ECD, enhancing the sensitivity to detect very mild forms of disease, and characterizing the inherent susceptibility for ectasia progression, became relevant for identifying patients at higher risk for progressive iatrogenic ectasia after laser vision correction (LVC). Moreover, the hypothesis that mild keratoconus is a risk factor for delivering a baby with Down’s syndrome potentially augments the relevance of the diagnostics of ECD. Multimodal refractive imaging involves different technologies, including Placido-disk corneal topography, Scheimpflug 3-D tomography, segmental or layered tomography with layered epithelial thickness using OCT (optical coherence tomography), and digital very high-frequency ultrasound (VHF-US), and ocular wavefront. Corneal biomechanical assessments and genetic and molecular biology tests have translated to clinical measurements. Artificial intelligence allows for the integration of a plethora of clinical data and has proven its relevance in facilitating clinical decisions, allowing personalized or individualized treatments.
AUTOMATIC CLASSIFICATION OF URBAN OBJECTS FROM MOBILE LASER SCANNING DATA

Abstract. The study deals with the automatic supervised classification of urban objects from point clouds collected by the vehicle-based Mobile Laser Scanning (MLS) system. A benchmark dataset representing the Technical University of Munich (TUM) City Campus was used. The main contribution of this article is evaluating the performance difference between kNN, cylindrical and spherical local neighborhood relations in point-based classification of an MLS system using local geometric and shape-based features. The Random Forest (RF) classifier was performed for 8 manually marked classes in the benchmark set: artificial terrain, natural terrain, high vegetation, low vegetation, building, hardscape, artifact and vehicle. We reveal that the cylindrical neighborhood with 13 attributes provides an improvement of 5.2% compared to the spherical neighborhood, while the kNN gave almost the same result as the cylindrical neighborhood (0.8% improvement) in the shortest time. Finally, a new feature set was created by combining the most important features obtained from different neighborhood types. As a result, we achieved 96.9% overall accuracy by using 19 significant features obtained from all neighborhood types for the TUM-MLS1 point cloud.
Ultra-soft Sources as Type Ia Supernovae Progenitors

Abstract Missing from the usual considerations of nuclear burning white dwarfs as Type Ia supernovae progenitors are systems with very higher mass transfer rates, where more material than is needed for steady burning accretes on the white dwarf. This will expand the photosphere of the white dwarf, causing it to emit at longer wavelengths. Thus, we propose the name ultra-soft source (USS) for these objects. We present a VLT/FLAMES survey looking for USSs in the SMC, selected to be bright in the far UV and with blue far UV-V colors. While we find some unusual objects, and recover known planetary nebulae and WR stars, we detect no objects with strong He II lines, which should be a signature of USSs. This null result either puts an upper limit on the number of USSs in the SMC, or shows that we do not understand what the optical spectra of such objects will look like. We also discuss the unusual LMC [WN] planetary nebula LMC N66 as a possible example of a USS. It has a luminosity consistent with that expected, and its spectra show incompletely CNO-processed material — strong helium lines, some hydrogen, enhanced nitrogen and depleted carbon. It also shows periodic outbursts. USSs may resemble N66 in quiescence. However, it lacks a FUV excess, contrary to our predictions.
Cascaded Hough Transform-Based Hair Mask Generation and Harmonic Inpainting for Automated Hair Removal from Dermoscopy Images

Restoring information obstructed by hair is one of the main issues for the accurate analysis and segmentation of skin images. For retrieving pixels obstructed by hair, the proposed system converts dermoscopy images into the L*a*b* color space, then principal component analysis (PCA) is applied to produce grayscale images. Afterward, the contrast-limited adaptive histogram equalization (CLAHE) and the average filter are implemented to enhance the grayscale image. Subsequently, the binary image is generated using the iterative thresholding method. After that, the Hough transform (HT) is applied to each image block to generate the hair mask. Finally, the hair pixels are removed by harmonic inpainting. The performance of the proposed automated hair removal was evaluated by applying the proposed system to the International Skin Imaging Collaboration (ISIC) dermoscopy dataset as well as to clinical images. Six performance evaluation metrics were measured, namely the mean squared error (MSE), the peak signal-to-noise ratio (PSNR), the signal-to-noise ratio (SNR), the structural similarity index (SSIM), the universal quality image index (UQI), and the correlation (C). Using the clinical dataset, the system achieved MSE, PSNR, SNR, SSIM, UQI, and C values of 34.7957, 66.98, 42.39, 0.9813, 0.9801, and 0.9985, respectively. The results demonstrated that the proposed system could satisfy the medical diagnostic requirements and achieve the best performance compared to the state-of-art.
Variable-viscosity flows in channels with high heat generation

This paper presents a similarity solution for plane channel flow of a very viscous fluid, whose viscosity is exponentially dependent upon temperature, when heat generation is very large. A dimensionless formulation of the problem involves two length scales (the depth h and length l, respectively, of the channel), one velocity scale (the mean velocity V of the fluid along the channel), the thermal conductivity k, thermal diffusivity k and viscosity V of the fluid, and the temperature coefficient b of the viscosity. From these, two important dimensionless groups arise, the Graetz number (Gz = Vh2/kl) and the Nahme–Griffith number (G = μ V2b/k). In the case of steady flow with G−1 [Lt ] Gz−1 [Lt ] 1 a thin thermal boundary layer of thickness proportional to Gz−½ arises at each wall with an even thinner shear layer, detached from the wall and embedded in the thermal boundary layer, of thickness proportional to Gz−½(ln G)−1, coinciding with the region of maximum temperature (ln G)/b. The similarity variable is (Pe½y/x½) where Pe is the Péclet number (Vh/k) and y and x are measured away from and along (either) boundary wall. The analogous unsteady uniform flow solution is also given.