Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploration of Potential Biomarkers and Immune Landscape for Hepatoblastoma: Evidence from Machine Learning Algorithm

This study aimed to investigate the immune landscape in hepatoblastoma (HB) based on deconvolution methods and identify a biomarkers panel for diagnosis based on a machine learning algorithm. Firstly, we identified 277 differentially expressed genes (DEGs) and differentiated and functionally identified the modules in DEGs. The Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis and GO (gene ontology) were used to annotate these DEGs, and the results suggested that the occurrence of HB was related to DNA adducts, bile secretion, and metabolism of xenobiotics by cytochrome P450. We selected the top 10 genes for our final diagnostic panel based on the random forest tree method. Interestingly, TNFRSF19 and TOP2A were significantly down-regulated in normal samples, while other genes (TRIB1, MAT1A, SAA2-SAA4, NAT2, HABP2, CYP2CB, APOF, and CFHR3) were significantly down-regulated in HB samples. Finally, we constructed a neural network model based on the above hub genes for diagnosis. After cross-validation, the area under the ROC curve was close to 1 (AUC = 0.972), and the AUC of the validation set was 0.870. In addition, the results of single-sample gene-set enrichment analysis (ssGSEA) and deconvolution methods revealed a more active immune responses in the HB tissue. In conclusion, we have developed a robust biomarkers panel for HB patients.
Future temperature-related excess mortality under climate change and population aging scenarios in Canada

Climate change is expected to increase global temperatures. How temperature-related mortality risk will change is not completely understood, and how future demographic changes will affect temperature-related mortality needs to be clarified. We evaluate temperature-related mortality across Canada until 2099, accounting for age groups and scenarios of population growth. We used daily counts of non-accidental mortality for 2000 to 2015 for all 111 health regions across Canada, incorporating in the study both urban and rural areas. A two-part time series analysis was used to estimate associations between mean daily temperatures and mortality. First, current and future daily mean temperature time series simulations were developed from Coupled Model Inter-Comparison Project 6 (CMIP6) climate model ensembles from past and projected climate change scenarios under Shared Socioeconomic Pathways (SSPs). Next, excess mortality due to heat and cold and the net difference were projected to 2099, also accounting for different regional and population aging scenarios. For 2000 to 2015, we identified 3,343,311 non-accidental deaths. On average, a net increase of 17.31% (95% eCI: 13.99, 20.62) in temperature-related excess mortality under a higher greenhouse gas emission scenario is expected for Canada in 2090–2099, which represents a greater burden than a scenario that assumed strong levels of greenhouse gas mitigation policies (net increase of 3.29%; 95% eCI: 1.41, 5.17). The highest net increase was observed among people aged 65 and over, and the largest increases in both net and heat- and cold-related mortality were observed in population scenarios that incorporated the highest rates of aging. Canada may expect net increases in temperature-related mortality under a higher emissions climate change scenario, compared to one assuming sustainable development. Urgent action is needed to mitigate future climate change impacts.
Antioxidant and Immunomodulatory Activities of Essential Oil Isolated from Anti-Upper Respiratory Tract Infection Formulation and Their Chemical Analysis

This study evaluates the in vitro antioxidant and immunomodulation activities of essential oils isolated from an anti-upper respiratory tract infection (URTI) formulation with a view to their therapeutic potential. The chemical components of the essential oil were analysed by gas chromatography-mass spectrometry (GC-MS). The antioxidative activity of the oils was investigated with regard to their ability to scavenge DPPH●, ABTS●+, and hydroxyl free radical (•OH). Their immunostimulatory activities were determined using murine macrophage cells. The main components of the oil with pharmacological and biological activities include 1,8-eucalyptol (42.9%), patchouli alcohol (19.9%), trans-erinolide (9.2%), and guaiacol (5%). The oils displayed high DPPH, ABTS, and hydroxyl radical scavenging activities and anti-inflammatory activities by reducing tumour necrosis factor-α (TNF-α) and interleukin-6 (IL-6) production. The results indicate that essential oils have the potential to be used in products for anti-URTI treatment.
Solving the sign indeterminacy for multiway models

Bilinear and multilinear models such as principal component analysis and PARAFAC have intrinsic sign indeterminacies. For example, any loading vector can be multiplied by −1 if another vector of that particular component is also multiplied by −1 without affecting the loss function values. This sometimes causes problems, for example, with respect to interpretation. In this paper, a method is developed to fix the sign indeterminacy for the PARAFAC, Tucker3 and PARAFAC2 models. Copyright © 2013 John Wiley & Sons, Ltd.
Fertility Preservation in Endometrial Cancer: Current Knowledge and Practice

Uterine cancer affects more than 1.28 million people worldwide; considering current world trends in obesity and aging, a +52.7% growth by 2040 is foreseen. Around 5% of endometrial cancer patients are less than 40 years old, meaning that conventional oncologic approaches would result in fertility loss; thus, it is essential to consult patients regarding their fertility and family planning. Owing to developments of oncofertility, patients are now able to preserve their fertility and complete their childbearing, drafting from the standard of care in endometrial cancer. Strict criteria should be applied to make sure of selecting patients who benefit most from the fertility preservation approach. Furthermore, careful selection of patients increases the possibility of successful treatment. Most candidates for fertility preservation have risk factors in common with infertility, including polycystic ovarian syndrome, obesity, increasing of age and irregular menses; therefore, Advanced Reproductive Technology (ART) can improve their chances for pregnancy. Current applied knowledge towards the fertility preservation approach in patients with endometrial cancer is reviewed in this article.
Application Research of Fuzzy Control Comprehensive Model in Agricultural Economic Management

Agriculture is the basic industry of the national economy, and the transformation of agricultural economic growth mode is of great significance to ensure the supply of agricultural products and improve the quality of agricultural products. Therefore, it is the only way to solve this problem to change the way of agricultural economic growth through scientific and technological investment, industrial structure adjustment, and other methods. Based on the fuzzy comprehensive evaluation method, this paper analyzes various factors of agricultural economic development and establishes a multilevel fuzzy comprehensive evaluation model of the development status of agricultural economic system. The stochastic frontier production function model of the fuzzy control comprehensive model is applied to decompose the agricultural labor productivity, and the counterfactual thinking and distribution method are used to analyze the influence of these factors on the evolution of provincial agricultural labor productivity differences. The value inequality decomposition method measures the contribution of each factor to the provincial agricultural labor productivity difference as well as the contribution of exogenous explanatory variables to the provincial agricultural technical efficiency difference. It is concluded that the relative contribution rate of nonagricultural activities to the difference in agricultural technical efficiency is the largest, and the average relative contribution rate reaches 74%. The improvement of agricultural labor productivity cannot rely solely on the increase in the input of agricultural material factors, but should rely on science and technology.
Degree Distribution of Position-Dependent Ball-Passing Networks in Football Games

We propose a simple stochastic model describing the position-dependent ball-passing network in football (soccer) games. In this network, a player in a certain area in a divided field is a node, and a pass between two nodes corresponds to an edge. Our stochastic process model is characterized by the consecutive choice of a node depending on its intrinsic fitness. We derive an explicit expression for the degree distribution and find that the derived distribution reproduces that for actual data reasonably well.
PRESSURE AND VELOCITY DISTRIBUTION IN SLIDE JOURNAL BEARING GAP BY LAMINAR UNSTEADY LUBRICATION

This paper shows results of numerical solutions an modified Reynolds equations for laminar unsteady oil flow in slide journal bearing gap. Laminar unsteady oil flow is performed during periodic and aperiodic perturbations of bearing load or is caused by the changes of gap height in time. Above perturbations occur mostly during the starting and stopping of machine. During modelling crossbar bearing operations in combustion engines, bearing movement perturbations from engine vertical vibrations causes velocity flow perturbations of lubricating oil on the bearing race and on the bearing slider in the circumferential direction. This solution example applies to isothermal bearing model with infinity length. Lubricating oil used in this model has Newtonian properties and constant dynamic viscosity. Perturbations connected with unsteady lubricating oil velocity in the circumferential direction on the slide bearing and on the slider of bearing were taken into consideration. Results are presented in the dimensionless hydrodynamic pressure and velocity distribution diagrams. Received solutions were compared with the solution received by the stationary lubrication flow in the slide journal bearing, which were made with the same parameter assumption by constant dynamic oil viscosity. Isothermal bearing model is similar to friction node model by steady-state heat load conditions.
Changes in fertility following birth restriction: A theoretical problem of population with numerical adaptation to Swedish conditions

During the years following 1880 the population of Sweden has exhibited an almost uninterrupted downward trend in fertility. Even if the decline in the illegitimate fertility is considerable, that in the legitimate is of much greater importance. Whereas according to available records there was a roughly constant fertility up to about 1880, there has been a steady fall in fertility since that year. During the three decades 1880–1910 the legitimate fertility underwent a moderate fall, though not more than that the annual number of births kept fairly constant between 130 000 and 140 000. Since the year 1910, however, the decline has been so great that even the absolute number of births has fallen, this now being about 90 000 annually.
JOB MOTIVATION, WORK-FAMILY CONFLICT, AND JOB SATISFACTION OF FORMAL WORKING MOTHERS DURING COVID-19 PANDEMIC

Work from home (WFH) policies can fade the boundaries between family and work matters, reduce work motivation, and create uncertainty that impacts job satisfaction. This study aims to analyze the effect of work motivation and work-family conflict on job satisfaction of formal working mothers during the Covid-19 pandemic. This study used a cross-sectional research design. The selection of research locations was chosen purposively, namely DKI Jakarta and West Java, because these two provinces were the two provinces that contributed the most Covid-19 cases in Indonesia. Data were obtained by self-administered using a questionnaire that was distributed online. The sampling technique was done by voluntary sampling. The respondents of this study were 99 formal working mothers with intact families who have school-age children (6-12 years). Correlation test results show a relationship between intrinsic work motivation, extrinsic work motivation, and work-family conflict with job satisfaction. In addition, the regression test results showed that the husband's age and identified regulation positively and significantly affected job satisfaction. The results also showed that during the Covid-19 pandemic, most formal working mothers had job satisfaction in the moderate category.
ANALYSIS OF SATISFACTION LEVEL AND NET BENEFIT IPB UNDERGRADUATE STUDENTS TOWARDS THE USE IPB MOBILE FOR STUDENT APPLICATION

IPB University implements a mobile-based management information system through the IPB Mobile for Student application to bring technological innovation closer and realize transformation into a digital campus. This study aims to analyze the perception of quality, level of satisfaction and net benefit felt by S1 IPB students towards the IPB Mobile for Student application. This research is a quantitative research using explanatory design. This research was conducted on IPB students using voluntary sampling techniques so that 306 respondents were obtained. Data is collected through tools in the form of questionnaires that are distributed online using google forms. The data obtained were processed using Microsoft Excel, SPSS version 25, and SEM-LISREL 8.80. The results of the influence test showed a positive and significant influence on the perception of quality on user satisfaction and user satisfaction had a significant positive effect on net benefits. The advice that can be given is that users are expected to provide input on the shortcomings in the application so that IPB University as an application developer can improve the quality of the IPB Mobile for Student application.
Effects of interstellar magnetic bubbles and of galactic tides on galactic magnetic fields

Pour la Voie Lactee on a effectue une evaluation quantitative des effets apparents de quatre grandes bulles magnetiques interstellaires proches du Soleil sur les mesures de rotation des radiosources eloignees. Pour d'autres galaxies spirales on a etudie la distribution a grande echelle des champs magnetiques en s'interessant plus particulierement a l'influence des marees galactiques provoquees par une galaxie compagnon
GAMMA-400 gamma-ray observatory

The GAMMA-400 gamma-ray telescope with excellent angular and energy resolutions is designed to search for signatures of dark matter in the fluxes of gamma-ray emission and electrons + positrons. Precision investigations of gamma-ray emission from Galactic Center, Crab, Vela, Cygnus, Geminga, and other regions will be performed, as well as diffuse gamma-ray emission, along with measurements of high-energy electron + positron and nuclei fluxes. Furthermore, it will study gamma-ray bursts and gamma-ray emission from the Sun during periods of solar activity. The energy range of GAMMA-400 is expected to be from ~20 MeV up to TeV energies for gamma rays, up to 20 TeV for electrons + positrons, and up to 10E15 eV for cosmic-ray nuclei. For high-energy gamma rays with energy from 10 to 100 GeV, the GAMMA-400 angular resolution improves from 0.1{\deg} to ~0.01{\deg} and energy resolution from 3% to ~1%; the proton rejection factor is ~5x10E5. GAMMA-400 will be installed onboard the Russian space observatory.
Integrating Multiclass Light Weighted BiLSTM Model for Classifying Negative Emotions

With the continuous development of social networks, Weibo has become an essential platform for people to share their opinions and feelings in daily life. Analysis of users' emotional tendencies can be effectively applied to public opinion control, public opinion surveys, and product recommendations. However, the traditional deep learning algorithm often needs a large amount of data to be retained to obtain a better accuracy when faced with new work tasks. Given this situation, a multiclassification method of microblog negative sentiment based on MAML (model-agnostic metalearning) and BiLSTM (bidirectional extended short-term memory network) is proposed to represent the microblog text word vectorization and the combination of MAML and BiLSTM is constructed. The model of BiLSTM realizes the classification of negative emotions on Weibo and updates the parameters through machine gradient descent; the metalearner in MAML calculates the sum of the losses of multiple pieces of training, performs a second gradient descent, and updates the metalearner parameters. The updated metalearner can quickly iterate when faced with a new Weibo negative sentiment classification task. The experimental results show that compared with the prepopular model, on the Weibo negative sentiment dataset, the precision rate, recall rate, and F1 value are increased by 1.68 percentage points, 2.86 percentage points, and 2.27 percentage points, respectively.
A comprehensive review on the phytoconstituents and biological activities of Nyctanthes arbor-tristis L.

Nyctanthes arbor-tristis (NAT) is one of the Indonesian herbal medicines which belongs to the genus Nyctanthes and the Oleaceae family. Traditionally, NAT is used to reduce fever and pain and treat hemorrhoids, irregular menstruation, cough, and asthma. This review article aimed to examine the phytoconstituents and pharmacological activities of NAT from different plant parts. The literature search was conducted through PubMed and Google Scholar databases. Our literature study showed that NAT has various secondary metabolites, such as steroids, terpenes, flavonoids, phenol, iridoid glycosides, and alkaloids. These compounds are distributed in the leaves, seeds, flowers, and stem bark. Different chemical structures of secondary metabolites are present in each plant part, and each demonstrates distinct pharmacological activities. The most common activities found in the literature are antimicrobial, analgesic, anti-inflammatory, antidiabetic, antioxidant, hepatoprotective, antitussive, and antimalarial activities. Although this plant offers a promising source for drug discovery, the pharmacological and phytochemical data are still limited. Further studies are needed to explore the potency of NAT as natural products benefiting human health.
The Correlation Between Screen Size and Visibility of Renewable Energy Structures in Online Acceptance Studies: The Case of Wind Turbines

The correlation between screen size and visualisations of wind turbines in an internet survey with 2,359 respondents is analysed. Respondents answering the survey on a screen smaller than or equal to an A4 sheet find the visualised wind turbines significantly less visible than respondents answering on a larger screen. These results fuel the debate on using visualisations in internet surveys.
GENDER ANALYSIS OF COPING BEHAVIOUR, E-LIFESTYLE, AND HAPPINESS ON MILLENNIAL GENERATION IN COVID-19 PANDEMIC ERA

Changes that occur due to the Covid-19 pandemic are faced by all people, including the millennial generation. This study aims to analyze coping behavior, e- lifestyle, and happiness of the millennial generation during the Covid-19 pandemic based on gender. The research was conducted by a cross-sectional study using a non-probability voluntary sampling method. Data collection was carried out in April, and the study samples were obtained from 32 males and 68 females. Primary data was taken using a google form distributed to the millennial generation aged 22-41 years and living in Bogor, West Java. The location was chosen considering West Java has a happiness index (70.23) below the national happiness index (71.49) and is included in the five provinces with a low happiness index. The results of the descriptive analysis show that coping behavior, e- lifestyle, and happiness of the millennial generation during the Covid-19 pandemic are in the moderate category. The results of the different tests found no significant differences by gender in coping behavior, e-lifestyle, and millennial happiness. The SEM-PLS model shows that coping behavior significantly affects e- lifestyle. In addition, it was also found that coping behavior had a significant effect on the happiness of the millennial generation during the pandemic. Based on the results of this study, the happiness of the millennial generation during the Covid-19 pandemic is important, one of which is through coping behavior.
Approximate binary black hole initial data from matched asymptotic expansions

We present an approximate metric for a binary black-hole spacetime to construct initial data for numerical relativity. This metric is obtained by asymptotically matching a post-Newtonian metric for a binary system to a perturbed Schwarzschild metric for each hole. In the inner zone near each hole, the metric is given by the Schwarzschild solution plus a quadrupolar perturbation corresponding to an external tidal gravitational field. In the near zone, well outside each black hole but less than a reduced wavelength from the center of mass of the binary, the metric is given by a post-Newtonian expansion including the lowest-order deviations from flat spacetime. When the near zone overlaps each inner zone in a buffer zone, the post-Newtonian and perturbed Schwarzschild metrics can be asymptotically matched to each other. By demanding matching (over a 4-volume in the buffer zone) rather than patching (choosing a particular 2-surface in the buffer zone), we guarantee that the errors are small in all zones. The resulting piecewise metric is made formally C{sup {infinity}} with smooth transition functions so as to obtain the finite extrinsic curvature of a 3-slice. In addition to the metric and extrinsic curvature, we present explicit results for the lapse and themore » shift, which can be used as initial data for numerical simulations. This initial data is not accurate all the way to the asymptotically flat ends inside each hole, and therefore must be used with evolution codes which employ black hole excision rather than puncture methods. This paper lays the foundations of a method that can be straightforwardly iterated to obtain initial data to higher perturbative order. « less
Baryons as solitons

Chiral lagrangians as effective field theories of QCD are successfully applied to meson physics in the framework of chiral perturbation theory. Because of their nonlinear structure these lagrangians allow for static soliton solutions interpreted as baryons. Their semiclassical quantization, which provides the leading order in an 1/NC expansion with NC the number of colors, turned out to be insufficient to obtain satisfactory agreement with empirical baryon observables. However with NC=3, large corrections are expected in the next-to-leading order carried by mesonic fluctuations around the soliton background, which require renormalization to 1-loop. In contrast to chiral perturbation theory, the low-energy lagrangian proves inapt and terms with an arbitrary number of gradients may in principle contribute. Assumptions about the a priori unknown higher chiral orders are tested by the scale-dependence of the results. For example, in the simple Sine-Gordon model with 1 scalar field in 1+1 dimensions, knowledge.