Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Hyperbaric Oxygen and Inflammation on Human Gingival Mesenchymal Stem/Progenitor Cells

The present study explores for the first time the effect of hyperbaric oxygen (HBO) on gingival mesenchymal stem cells’ (G-MSCs) gene expression profile, intracellular pathway activation, pluripotency, and differentiation potential under an experimental inflammatory setup. G-MSCs were isolated from five healthy individuals (n = 5) and characterized. Single (24 h) or double (72 h) HBO stimulation (100% O2, 3 bar, 90 min) was performed under experimental inflammatory [IL-1β (1 ng/mL)/TNF-α (10 ng/mL)/IFN-γ (100 ng/mL)] and non-inflammatory micro-environment. Next Generation Sequencing and KEGG pathway enrichment analysis, G-MSCs’ pluripotency gene expression, Wnt-/β-catenin pathway activation, proliferation, colony formation, and differentiation were investigated. G-MSCs demonstrated all mesenchymal stem/progenitor cells’ characteristics. The beneficial effect of a single HBO stimulation was evident, with anti-inflammatory effects and induction of differentiation (TLL1, ID3, BHLHE40), proliferation/cell survival (BMF, ID3, TXNIP, PDK4, ABL2), migration (ABL2) and osteogenic differentiation (p < 0.05). A second HBO stimulation at 72 h had a detrimental effect, significantly increasing the inflammation-induced cellular stress and ROS accumulation through HMOX1, BHLHE40, and ARL4C amplification and pathway enrichment (p < 0.05). Results outline a positive short-term single HBO anti-inflammatory, regenerative, and differentiation stimulatory effect on G-MSCs. A second (72 h) stimulation is detrimental to the same properties. The current results could open new perspectives in the clinical application of short-termed HBO induction in G-MSCs-mediated periodontal reparative/regenerative mechanisms.
Calculation of BaGa4Se7 OPO/OPA Output Spectrum Characteristics

Optical parametric oscillation (OPO) or optical parametric amplification (OPA) systems offer significant potential for generating high-energy, narrow-pulse laser output, finding applications across various domains. To achieve efficient amplification in cascade with amplifiers, precise frequency domain matching between OPO/OPA systems and amplifiers is imperative. Therefore, preliminary simulation and computation of the spectral characteristics of OPO/OPA systems are of paramount importance in the early stages of experimentation. Currently, the calculation of OPO/OPA output spectrum characteristics is limited to estimating the influence of pump light characteristics on output spectrum linewidth, a consideration that remains incomplete. This paper presents a comprehensive computational approach that takes into account the impact of four crucial factors on the output spectrum characteristics: pump light linewidth, pump light divergence angle, the walk-off effect, and the absorption loss of the crystal. This method finely characterizes the features of the output spectrum. The results obtained through the proposed approach align well with experimental results, underscoring its effectiveness. This study aims to obtain the output spectrum characteristics of BaGa4Se7 OPO/OPA through calculations to provide theoretical guidance for subsequent cascade amplification experiments.
Disentangling Systematic and Idiosyncratic Risk for Large Panels of Assets Disentangling Systematic and Idiosyncratic Risk for Large Panels of Assets

When observed over a large panel, measures of risk (such as realized volatilities) usually exhibit a secular trend around which individual risks cluster. In this article we propose a vector Multiplicative Error Model achieving a decomposition of each risk measure into a common systematic and an idiosyncratic component, while allowing for contemporaneous dependence in the innovation process. As a consequence, we can assess how much of the current asset risk is due to a system wide component, and measure the persistence of the deviation of an asset specific risk from that common level. We develop an estimation technique, based on a combination of seminonpara-metric methods and copula theory, that is suitable for large dimensional panels. The model is applied to two panels of daily realized volatilities between 2001 and 2008: the SPDR Sectoral Indices of the S&P500 and the constituents of the S&P100. Similar results are obtained on the two sets in terms of reverting behavior of the common nonstationary component and the idiosyncratic dynamics to with a variable speed that appears to be sector dependent. College and Rutgers. Matteo Barigozzi gratefully acknowledges financial support from Wallonie-Bruxelles International (WBI). David Veredas acknowledges financial support from the Belgian National Bank and the IAP P6/07 contract, from the IAP program (Belgian Scientific Policy), 'Economic policy and finance in the global economy'. David Veredas is member of ECORE, the recently created association between CORE and ECARES. Any error and inaccuracy are ours.
Optimisation of time-scheduled regimen for anti-cancer drug infusion

The chronotherapy concept takes advantage of the circadian rhythm of cells physiology in maximising a treatment efficacy on its target while minimising its toxicity on healthy organs. The object of the present paper is to investigate mathematically and numerically optimal strategies in cancer chronotherapy. To this end a mathematical model describing the time evolution of efficiency and toxicity of an oxaliplatin anti-tumour treatment has been derived. We then applied an optimal control technique to search for the best drug infusion laws. The mathematical model is a set of six coupled differential equations governing the time evolution of both the tumour cell population (cells of Glasgow osteosarcoma, a mouse tumour) and the mature jejunal enterocyte population, to be shielded from unwanted side effects during a treatment by oxaliplatin. Starting from known tumour and villi populations, and a time dependent free platinum Pt (the active drug) infusion law being given, the mathematical model allows to compute the time evolution of both tumour and villi populations. The tumour population growth is based on Gompertz law and the Pt anti-tumour efficacy takes into account the circadian rhythm. Similarly the enterocyte population is subject to a circadian toxicity rhythm. The model has been derived using, as far as possible, experimental data. We examine two different optimisation problems. The eradication problem consists in finding the drug infusion law able to minimise the number of tumour cells while preserving a minimal level for the villi population. On the other hand, the containment problem searches for a quasi periodic treatment able to maintain the tumour population at the lowest possible level, while preserving the villi cells. The originality of these approaches is that the objective and constraint functions we use are L ∞ criteria. We are able to derive their gradients with respect to the infusion rate and then to implement efficient optimisation algorithms.
Utilization of Bottom Ash Waste as Reinforced Columns in Improving the Characteristics of Soft Kaolin Clay

Ground improvement is an effective method of mitigation to improve problematic soils including soft kaolin clay soils. Implementation of industrial wastes such as bottom ash in ground improvement can be cost-effective and environment-friendly. There are several studies conducted on the granular column using the bottom ash column. However, only a few studies have reported �ndings coherent with the statistical analysis. In this study, the lateral load capacity of bottom ash column-kaolin clay has been conducted. Coherently, the reinforced kaolin clay samples were tested via Particle Size Distribution, Atterberg limit test, Relative Density, Compaction test, Permeability test, Uncon�ned Compression Test and Unconsolidated Undrained Triaxial Test with the single and group encapsulated bottom ash with the geotextile encasement and a prediction model was developed. The effect of a number of columns, column diameter, column height, area replacement ratio, height penetration ratio, height-diameter column ratio, volume replacement ratio and con�ning pressures on the shear strength of the single and group of encapsulated bottom ash columns have been investigated. The �ndings showed the effectiveness of using the bottom ash columns to enhance the shear strength of the soil up to 77.00%.
Leveraging the " Mad Genius " Debate: Why We Need a Neuroscience of Creativity and Psychopathology

The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters. Citation Carson, Shelley. 2014. " Leveraging the " mad genius " debate: why we need a neuroscience of creativity and psychopathology. " Frontiers in Human Neuroscience 8 (1): 771.
Crustal deformation measured in Southern California

Studies at the Southern California Earthquake Center (SCEC) are suggesting that postseismic deformation is significant and long lasting. This seems the case, at least, in a region whose dimension is comparable to the fault rupture length. Researchers at SCEC found strong spatial correlation between the high strain rates and the past large earthquakes at the epicentral areas of the 1952 Kern County, 1971 Imperial, and 1992 Landers earthquakes. Southern California spans a plate boundary composed of hundreds of faults, major and minor, over a region hundreds of km wide. Measuring the crustal deformation field across this broad and complex plate boundary poses a great challenge. The Crustal Deformation Working Group of the SCEC orchestrated a major effort to provide, for the first time, a unified geodetic crustal deformation field covering southern California.
De�ciency of murine UFM1-specic E3 ligase causes microcephaly and in�ammation

The UFM1 conjugation system is a Ubiquitin (Ub) -like modi�cation system that is essential for animal development and normal physiology of multiple tissues and organs. It consists of UFM1, a Ub-like modi�er, and the UFM1-specic enzymes (namely E1 enzyme UBA5, E2 enzyme UFC1 E2, and E3 ligases) that catalyze conjugation of UFM1 to its speci�c protein targets. Clinical studies have identi�ed rare genetic variants in human UFM1, UBA5 and UFC1 genes that were linked to early-onset encephalopathy and defective brain development, strongly suggesting the critical role of the UFM1 system in the nervous system. Yet the phsyiologica function of this system in adult brain remains not de�ned. In this study, we investigated the role of UFM1 E3 ligase in adult mouse and found that both UFL1 and UFBP1 proteins, two components of UFM1 E3 ligase, are essential for survival of mature neurons in adult mouse. Neuron-specic deletion of either UFL1 or UFBP1 led to signi�cant neuronal loss and elevation of in�ammatory response. Interestingly, loss of one allele of UFBP1 genes caused occurance of seizure-like events. Our study has provided genetic evidence for the indispensable role of UFM1 E3 ligase in mature neurons and further demonstrated the importance of the UFM1 system in the nervous system.
Alignment of

Instagram, with more than 1 billion monthly users, is the go-to social media platform to chronicle one’s life via images, but how are people using the platform to present visual content about HIV? We analyzed public Instagram posts containing the hashtag “#HIV” (because they are self-tagged as related to HIV) between January 2017 and July 2018. We described the prevalence of co-occurring hashtags and explored thematic concepts in the images using automated image recognition and topic modeling. Twenty-eight percent of all #HIV posts included hashtags focused on awareness, followed by LGBTQ (24.5%) and living with HIV (17.9%). However, specific strategies were rarely cited, including testing (10.8%), treatment (10.3%), PrEP (6.2%) and condoms (4.1%). Image analyses revealed 44.5% of posts included infographics followed by people (21.3%) thereby humanizing HIV and stigmatized populations and promoting community mobilization. Novel content such as the handwriting image-theme (3.8%) where posters shared their HIV test results appeared. We discuss how this visual content aligns with public health priorities to reduce HIV in the US and the novel, organic messages that public health could help amplify.
EFFECTIVE COST ESTIMATION USING AGILE PROCESS

Cost estimation of any product or project is the key factors to determine the overall budget and successful completion of project deliverables. There are many traditional methods available to estimate the efforts. But understanding the project features or requirements and apply correct methods in effective way is the key for any successful project. The above modern way of cost estimation techniques can reduce the overall development cost and improve the quality deliverables. This research paper elaborate more on available cost models, analyzes, and compare their results and proposed the effective models.
Identiﬁability of Causal Graphs using Functional Models

This work addresses the following question: Under what assumptions on the data generating process can one infer the causal graph from the joint distribution? The approach taken by conditional independence-based causal discovery methods is based on two assumptions: the Markov condition and faithfulness . It has been shown that under these assumptions the causal graph can be identiﬁed up to Markov equivalence (some arrows remain undirected) using methods like the PC algorithm. In this work we pro-pose an alternative by deﬁning Identiﬁable Functional Model Classes (IFMOCs). As our main theorem we prove that if the data generating process belongs to an IFMOC, one can identify the complete causal graph. To the best of our knowledge this is the ﬁrst identi-ﬁability result of this kind that is not limited to linear functional relationships. We discuss how the IFMOC assumption and the Markov and faithfulness assumptions relate to each other and explain why we believe that the IFMOC assumption can be tested more easily on given data. We further provide a practical algorithm that recovers the causal graph from ﬁnitely many data; experiments on simulated data support the theoretical ﬁndings.
Genome-wide identi�cation of the peptide transporter family in rice and analysis of the PTR expression modulation in two near-isogenic lines with different nitrogen use e�ciency

Background: Nitrogen (N) is a major nutrient element for crop growth. In plants, the members of the peptide transporter (PTR) gene family are involved in nitrate uptake and transport. Here, we identied PTR gene family in rice and analyzed their expression level in near-isogenic lines. Results: We identi�ed 96, 85 and 78 PTR genes in Nipponbare, R498and Oryza glaberrima , and the phylogenetic were similar in Asian cultivated rice and African cultivated rice. The number of PTR genes was higher in peanuts (125) and soybeans (127). The 521 PTR genes in rice, maize, sorghum, peanut, soybean and Arabidopsis could be classi�ed into 4 groups, and their distribution was different between monocots and dicots. In Nipponbare genome, the 25 PTR genes were distributed in 5 segmental duplication regions on chromosome 1, 2, 3, 4, 5, 7, 8, 9, and 10. The PTR genes in rice have 0-11 introns and 1-12 exons , and 16 of them have the NPF (NRT1/PTR family) domain. The results of RNA-Seq showed that the number of differentially expressed genes (DEGs) between NIL15 and NIL19 at three stages were 928, 1467, and 1586, respectively. Under low N conditions, the number of differentially expressed PTR genes increased signi�cantly. The RNA-Seq data was analyzed using WGCNA to predict the potential interaction between genes. We classi�ed the genes with similar expression pattern into one module, and obtained 25 target modules. Among these modules, three modules may be involved in rice nitrogen uptake and utilization, especially the brown module, in which hub genes were annotated as protein kinase that may regulate rice N metabolism. Conclusions: In this study, we comprehensively analyzed the PTR gene family in rice. 96 PTR genes were identi�ed in Nippobare genome and 25 of them were located on �ve large segmental duplication regions. The Ka/Ks ratio indicated that many PTR genes had undergone positive selection. The RNA-seq results showed that many PTR genes were involved in riceNUE, and protein kinases might
Video Saliency Detection Using Modified Hevc And Background Modelling

The world is now heavily dependent on live streaming and video conferences with the advent of the Covid – 19 pandemic. This change has led to the formation of several algorithms that specialise in video saliency. Our proposed algorithm is a modified HEVC algorithm that employs background modelling and implication of classification into coding blocks. With the help of G-Picture in the fourth long term reference position and usage of coding blocks, the overall coding complexity along with time consumption has been reduced as well as the efficiency of compression has increased. The algorithm is tested on the DHF1K dataset and has been compared with several state-of-the-art methods and the final result showcases that the proposed solution has the best overall compression efficiency and accuracy.
Foreshock Rates from Aftershock Abundance

The question whether foreshocks behave like mainshocks that happen to have larger aftershocks is important for the understanding of earthquake nucleation and the modeling of earthquake clustering. Many models, including the short-term earthquake probability (STEP) model, for forecasting short-term earthquake hazard in California, and the epidemic-type aftershock sequence (ETAS) model, for the description of earthquake clustering, imply that all earthquakes of magnitude M , including foreshocks, can trigger earthquakes according to a magnitude dependent triggering ability 10 αM . The magnitudes of the triggered earthquakes are proportional to 10- bM , according to the Gutenberg–Richter relation for the magnitude-frequency distribution, and therefore can be larger than the magnitude of the initiating event. However, numerous studies observe a lower foreshock occurrence than predicted from aftershock models. In this article we show that, for homogeneous earthquake catalogs and a consistent definition of foreshocks and aftershocks, foreshock rates can be predicted from aftershock characteristics. For Southern California the probability that the initiating event of an earthquake cluster in the magnitude range 2.0–4.5 is followed by at least one larger event within one day is around 4%. This agrees well with corresponding data from the global centroid moment tensor (CMT) catalog where the probability that the initiating earthquake of a cluster is followed by at least one larger event within 30 days is around 3%. These foreshock rates are significantly lower than previously reported, and we discuss possible reasons for this.
FABRY–PEROT ABSORPTION LINE SPECTROSCOPY OF THE GALACTIC BAR. I. KINEMATICS

We use Fabry–Pérot absorption line imaging spectroscopy to measure radial velocities using the Ca ii line in 3360 stars toward three lines of sight in the Milky Way's bar: Baade's Window and offset position at (l, b) ≃ (±5.0, − 3.5)°. This sample includes 2488 bar red clump giants, 339 bar M/K-giants, and 318 disk main-sequence stars. We measure the first four moments of the stellar velocity distribution of the red clump giants, and find it to be symmetric and flat-topped. We also measure the line-of-sight average velocity and dispersion of the red clump giants as a function of distance in the bar. We detect stellar streams at the near and far side of the bar with velocity difference ≳ 30 km s−1at l = ±5°, but we do not detect two separate streams in Baade's Window. Our M-giants kinematics agree well with previous studies, but have dispersions systematically lower than those of the red clump giants by ∼10 km s−1. For the disk main-sequence stars we measure a velocity dispersion of ∼45 km s−1 for all three lines-of-sight, placing a majority of them in the thin disk within 3.5 kpc of the Sun, associated with the Sagittarius spiral arm. We measure the equivalent widths of the Ca ii λ8542 line that can be used to infer metallicities. We find indications of a metallicity gradient with Galactic longitude, with greater metallicity in Baade's Window. We find the bulge to be metal-rich, consistent with some previous studies.
SUCCESS FACTORS OF ERP SYSTEM AT ADHESIVE MANUFACTURING INDUSTRY IN INDONESIA

The rapid growth of technology in the digital era requires companies to implement Information Technology System, such as Enterprise Resources Planning (ERP). ERP is an integrated and systematic information system of various business functions to improve cross-functional and enterprise collaboration. In the use of ERP based on SAP Business One, there are several findings related to the ERP system’s internal control that impact the integrity of the ERP system and ease of use. The purpose of this research is to analyze the factors that influence the success of ERP Information System based on SAP Business One with the aim of identifying success factors that can become an alternative solution to improve ERP system. The success factors also need to be considered to ensure successful ERP System in the industry. A new model is proposed to figure out these success factors, which is a combination of Technology Acceptance Model (TAM) and D&M Information Systems Success Model. This research uses data from one of the adhesive manufacturing companies in Indonesia. For determining the factors that affect Perceived Ease of Use, Perceived Usefulness, User Satisfaction and Net Benefits, data was collected with 50 respondents. Data analysis was performed using the PLS-SEM method using software SmartPLS version 3.0. The results show User Satisfaction affects Net Benefits, Perceived Usefulness and Service Quality affect User Satisfaction, Perceived Ease of Use and Management Support affect Perceived Usefulness, and System Quality affects Perceived Ease of Use. In addition, from the answer to open questions in terms of other factors that affect the success of ERP information systems, users answer that human factors, availability of infrastructure, and User Interface affect success of ERP in this digital era.
Edinburgh Research Explorer A Monte-Carlo error analysis for basal sliding velocity calculations

[ 1 ] Since glacier beds are mostly inaccessible, numerical inversion of the surface velocity field provides a valuable method for calculating the basal shear stress and sliding velocity. However, previous theoretical studies (limited either to planar slabs or linear ice rheology) have suggested small errors in surface velocity measurements lead to large uncertainties in calculated basal sliding. Here a numerical ice flow model and Monte Carlo simulation are used to calculate the sliding velocity and basal shear stress and their associated uncertainties from field measurements of surface velocity along a two-dimensional long section of Glacier de Tsanfleuron, Switzerland. The model does not require the restrictive assumption of a sliding law since both sliding and basal shear stress are calculated independently and can include a spatially variable rate factor in the flow law for ice. Results indicate that sliding contributes between 45 and 84% of the surface velocity and that calculated sliding velocities are strongly dependent on ice rheology. Amplification of surface velocity errors is generally smaller than theoretical estimates and is a power law function of the horizontal grid spacing in the ice flow model.