Miracle-dz/UniFAR-FTUs huggingface dataset:
Micro-Raman and infrared spectral study of forsterite under high pressure

Raman and mid-IR spectra of synthetic forsterite (MgrSiOo) have been recorded under pressure to about 200 kbar. Multichannel micro-Raman spectroscopy has made it possible to measure the forsterite spectra with high signal to noise ratio. Twenty-one bands are identified in the Raman spectrum of forsterite. Pressure dependencies of the frequencies of two of the Raman bands have been determined for the first time. All of the Raman bands move progressively to higher frequencies with increasing pressure. The frequency shift displays a linear relation with respect to pressure up to 70 kbar. The Raman peak at 585 cm -' , usually attributed to a single vibrational mode, is in fact a doublet. The pressure derivatives of the bands in 585-cm-' doublet are slightly different but do not change abruptly in the pressure range studied in our work. We also found that two Raman modes (424 and 441 cm ') are still present in our spectra in the pressure range of 100-200 kbar, in contrast to previously reported results. There is a slight break in the slopes ofthe five Raman bands in the pressure range 70-90 kbar. These changes in the slope are attributed to a change in the compression mechanism of forsterite at high pressures. Frequencies of six infrared-active internal modes of forsterite change linearly with pressure to 184 kbar, in agreement with the results of previous workers. The pressure dependencies of the infrared bands reported by various workers, however, show much larger variations than those of corresponding Raman bands. Observed changes in the relative intensities of the infrared bands at high pressures are attributed to the deformation of the SiOo tetrahedra above 8l kbar.
Prevention of Underage Drinking on California Indian Reservations Using Individual- and Community-Level Approaches

Objectives To evaluate combined individual- and community-level interventions to reduce underage drinking by American Indian/Alaska Native (AI/AN) youths on rural California Indian reservations. Methods Individual-level interventions included brief motivational interviewing and psychoeducation for Tribal youths. Community-level interventions included community mobilization and awareness activities, as well as restricting alcohol sales to minors. To test effects, we compared 7 waves of California Healthy Kids Survey data (2002-2015) for 9th- and 11th-grade AI/AN and non-AI/AN students in intervention area schools with California AI/AN students outside the intervention area (n = 617, n = 33 469, and n = 976, respectively). Results Pre- to postintervention mean past 30-day drinking frequency declined among current drinkers in the intervention group (8.4-6.3 days) relative to comparison groups. Similarly, heavy episodic drinking frequency among current drinkers declined in the intervention group (7.0-4.8 days) versus the comparison groups. Conclusions This study documented significant, sustained past 30-day drinking or heavy episodic drinking frequency reductions among AI/AN 9th- and 11th-grade current drinkers in rural California Indian reservation communities exposed to multilevel interventions. Public Health Implications Multilevel community-partnered interventions can effectively reduce underage alcohol use in this population.
In silico characterisation of the two-component system regulators of Streptococcus pyogenes

Bacteria respond to environmental changes through the co-ordinated regulation of gene expression, often mediated by two-component regulatory systems (TCS). Group A Streptococcus (GAS), a bacterium which infects multiple human body sites and causes multiple diseases, possesses up to 14 TCS. In this study we examined genetic variation in the coding sequences and non-coding DNA upstream of these TCS as a method for evaluating relationships between different GAS emm-types, and potential associations with GAS disease. Twelve of the 14 TCS were present in 90% of the genomes examined. The length of the intergenic regions (IGRs) upstream of TCS coding regions varied from 39 to 345 nucleotides, with an average nucleotide diversity of 0.0064. Overall, IGR allelic variation was generally conserved with an emm-type. Subsequent phylogenetic analysis of concatenated sequences based on all TCS IGR sequences grouped genomes of the same emm-type together. However grouping with emm-pattern and emm-cluster-types was much weaker, suggesting epidemiological and functional properties associated with the latter are not due to evolutionary relatedness of emm-types. All emm5, emm6 and most of the emm18 genomes, all historically considered rheumatogenic emm-types clustered together, suggesting a shared evolutionary history. However emm1, emm3 and several emm18 genomes did not cluster within this group. These latter emm18 isolates were epidemiologically distinct from other emm18 genomes in study, providing evidence for local variation. emm-types associated with invasive disease or nephritogenicity also did not cluster together. Considering the TCS coding sequences (cds), correlation with emm-type was weaker than for the IGRs, and no strong correlation with disease was observed. Deletion of the malate transporter, maeP, was identified that serves as a putative marker for the emm89.0 subtype, which has been implicated in invasive outbreaks. A recombination-related, subclade-forming DNA motif was identified in the putative receiver domain of the Spy1556 response regulator that correlated with throat-associated emm-pattern-type A-C strains.
EWS-FLI1 Regulates Genotoxic Stress Response in Ewing

Chromosomal translocation of the EWSR1 gene with the members of ETS gene family of transcription factors results in the generation of a chimeric transcription factor that underlies the hallmark signature of Ewing sarcoma family of tumors (EFTs). The most predominant translocation and in-frame gene fusion EWS-FLI1, occurs between the N-terminal trans-activating domain of EWS and the C-terminal DNA binding domain of FLI1 in Ewing Sarcoma. EWS-FLI1 has been extensively characterized as a transcriptional regulator. However, additional roles of EWS-FLI1 in DNA damage response (DDR), cell-cycle checkpoint control and alternative splicing is only being uncovered now. This review article will discuss the functions of EWS and EWS-FLI1 in genotoxic stress and its potential implications in Ewing Sarcoma oncogenesis and targeted therapy.
Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop

Active inference is an ambitious theory that treats perception, inference, and action selection of autonomous agents under the heading of a single principle. It suggests biologically plausible explanations for many cognitive phenomena, including consciousness. In active inference, action selection is driven by an objective function that evaluates possible future actions with respect to current, inferred beliefs about the world. Active inference at its core is independent from extrinsic rewards, resulting in a high level of robustness across e.g., different environments or agent morphologies. In the literature, paradigms that share this independence have been summarized under the notion of intrinsic motivations. In general and in contrast to active inference, these models of motivation come without a commitment to particular inference and action selection mechanisms. In this article, we study if the inference and action selection machinery of active inference can also be used by alternatives to the originally included intrinsic motivation. The perception-action loop explicitly relates inference and action selection to the environment and agent memory, and is consequently used as foundation for our analysis. We reconstruct the active inference approach, locate the original formulation within, and show how alternative intrinsic motivations can be used while keeping many of the original features intact. Furthermore, we illustrate the connection to universal reinforcement learning by means of our formalism. Active inference research may profit from comparisons of the dynamics induced by alternative intrinsic motivations. Research on intrinsic motivations may profit from an additional way to implement intrinsically motivated agents that also share the biological plausibility of active inference.
Differences in cancer gene copy number alterations between Epstein‐Barr virus‐positive and Epstein‐Barr virus‐negative nasopharyngeal carcinoma

Nasopharyngeal carcinoma (NPC) treatment is mainly based on clinical staging. We hypothesize that better understanding of the molecular heterogeneity of NPC can aid in better treatment decisions. Therefore, the purpose of this study was to present our exploration of cancer gene copy‐number alterations (CNAs) of Epstein‐Barr virus (EBV)‐positive and EBV‐negative NPC.
Relationship between Internet Addiction, Gaming Addiction and School Engagement among Adolescents.

This research examined the relationship of Internet addiction and gaming addiction with school engagement and effects of Internet addiction and gaming addiction on school engagement. The research was conducted with 365 students (140, 38.4%, males; 225, 61.6%, females) studying at an Anatolian high school in Gaziantep province. Personal Information Form, Scale of Internet Usage Addiction, Gaming Addiction Scale for Adolescents and School Engagement Scale for Children and Adolescents (High School Form) were utilized as data collection tools. The data obtained were analyzed with correlation and multiple regression analysis. A weak negative relationship was found between Internet addiction and school engagement. No relationship was found between gaming addiction and school engagement. It was also concluded that Internet addiction is a significant predictor of school engagement and gaming addiction does not predict school engagement significantly.
Taxonomic Demarcation of Setaria pumila (Poir.) Roem. & Schult., S. verticillata (L.) P. Beauv., and S. viridis (L.) P. Beauv. (Cenchrinae, Paniceae, Panicoideae, Poaceae) From Phytolith Signatures

Background and Aims: The role and significance of phytoliths in taxonomic diagnosis of grass species has been well documented with a focus on the types found in foliar epidermis and the synflorescence. The present paper is an attempt to broaden the scope of phytoliths in species diagnosis of grasses by developing phytolith signatures of some species of the foxtail genus Setaria P. Beauv. through in situ location and physico-chemical analysis of various phytolith morphotypes in different parts of the plant body. Methods: Clearing solution and dry ashing extraction methods were employed for in situ location and isolation of phytolith morphotypes respectively. Ultrastructural details were worked out by Scanning Electron Microscopy (SEM) and Transmission Electron Microscopy. Morphometric and frequency data of phytolith morphotypes were also recorded. Biochemical architecture of various phytolith types was worked out through SEM-EDX, XRD, and FTIR analysis. Data were analyzed through Principal Component Analysis and Cluster Analysis. Key Results: In situ location of phytoliths revealed species specific epidermal patterns. The presence of cystoliths (calcium oxalate crystals) in the costal regions of adaxial leaf surface of S. verticillata (L.) P. Beauv. is the first report for the genus Setaria. Our results revealed marked variations in epidermal ornamentation and undulation patterns with a novel “Λ” (Lamda) type of undulated ornamentation reported in S. verticillata. Dry ashing method revealed species specific clusters of phytolith morphotypes. Conclusions: The study revealed that phytoliths can play a significant role in resolution of taxonomic identity of three species of Setaria. Each species was marked out by a unique assemblage of phytolith morphotypes from various parts of the plant body. Apart from in situ location and epidermal patterning, diagnostic shapes, frequency distribution, size dimensions, and biochemical architecture emerged as complementary traits that help in developing robust phytolith signatures for plant species.
Novel Convolution Kernels for Computer Vision and Shape Analysis based on Electromagnetism

Computer vision is a growing field with a lot of new applications in automation and robotics, since it allows the analysis of images and shapes for the generation of numerical or analytical information. One of the most used method of information extraction is image filtering through convolution kernels, with each kernel specialized for specific applications. The objective of this paper is to present a novel convolution kernels, based on principles of electromagnetic potentials and fields, for a general use in computer vision and to demonstrate its usage for shape and stroke analysis. Such filtering possesses unique geometrical properties that can be interpreted using well understood physics theorems. Therefore, this paper focuses on the development of the electromagnetic kernels and on their application on images for shape and stroke analysis. It also presents several interesting features of electromagnetic kernels, such as resolution, size and orientation independence, robustness to noise and deformation, long distance stroke interaction and ability to work with 3D images.
Image cytometric method for quantifying the relative amount of DNA in bacterial nucleoids using Escherichia coli

An image cytometric method for quantifying integrated fluorescence was developed to measure the relative DNA contents of bacterial nucleoids. Image analysis was performed with newly developed macros in combination with the program Object‐Image, all downloadable from . Four aspects of the method were investigated. (i) Good linearity was found over a ten‐fold range of fluorescence intensity in a test with a calibration kit of fluorescent latex spheres. (ii) The accuracy of the method was tested with a narrowly distributed Escherichia coli population, which was obtained by growing cells into stationary phase. The width of the image cytometric distribution was approximately 6%, in good agreement with results obtained by flow cytometry. (iii) The error contribution of manual focusing could be kept below 2%, although a strong dependency between integrated fluorescence and focus position was observed. (iv) The results were verified with a flow cytometer, which gave similar distributions for the DNA contents per cell expressed in chromosome equivalents (4.8 fg of DNA). We used the presented method to evaluate whether the DNA conformation had any effect on the total fluorescence of bacterial nucleoids. Experiments using nucleoids with the same amount of DNA in either a dispersed or a compact conformation showed no significant difference in integrated fluorescence, indicating that it is possible to determine the DNA content per nucleoid independently of the actual organization of the DNA.
Flexible Neural Representation for Physics Prediction

Humans have a remarkable capacity to understand the physical dynamics of objects in their environment, flexibly capturing complex structures and interactions at multiple levels of detail. Inspired by this ability, we propose a hierarchical particle-based object representation that covers a wide variety of types of three-dimensional objects, including both arbitrary rigid geometrical shapes and deformable materials. We then describe the Hierarchical Relation Network (HRN), an end-to-end differentiable neural network based on hierarchical graph convolution, that learns to predict physical dynamics in this representation. Compared to other neural network baselines, the HRN accurately handles complex collisions and nonrigid deformations, generating plausible dynamics predictions at long time scales in novel settings, and scaling to large scene configurations. These results demonstrate an architecture with the potential to form the basis of next-generation physics predictors for use in computer vision, robotics, and quantitative cognitive science.
The association between being currently in school and HIV prevalence among young women in nine eastern and southern African countries

Introduction Interventions to keep adolescent girls and young women in school, or support their return to school, are hypothesised to also reduce HIV risk. Such interventions are included in the DREAMS combination package of evidence-based interventions. Although there is evidence of reduced risky sexual behaviours, the impact on HIV incidence is unclear. We used nationally representative surveys to investigate the association between being in school and HIV prevalence. Methods We analysed Demographic and Health Survey data from nine DREAMS countries in sub-Saharan Africa restricted to young women aged 15–19 (n = 20,429 in total). We used logistic regression to assess cross-sectional associations between being in school and HIV status and present odds ratios adjusted for age, socio-economic status, residence, marital status, educational attainment and birth history (aOR). We investigated whether associations seen differed across countries and by age. Results HIV prevalence (1.0%–9.8%), being currently in school (50.0%-72.6%) and the strength of association between the two, varied between countries. We found strong evidence that being currently in school was associated with a reduced odds of being HIV positive in Lesotho (aOR: 0.37; 95%CI: 0.17–0.79), Swaziland (aOR: 0.32; 95%CI: 0.17–0.59), and Uganda (aOR: 0.48: 95%CI: 0.29–0.80) and no statistically significant evidence for this in Kenya, Malawi, Mozambique, Tanzania, Zambia or Zimbabwe. Conclusions Although the relationship is not uniform across countries or over time, these data are supportive of the hypothesis that young women in school are at lower risk of being HIV positive than those who leave school in some sub-Saharan African settings. There is a possibility of reverse causality, with pre-existing HIV infection leading to school drop-out. Further investigation of the contextual factors behind this variation will be important in interpreting the results of HIV prevention interventions promoting retention in school.
A Theoretical Analysis of Asymptotical Performance of Cooperative Spectrum Sensing in the Presence of Malicious Users

This letter proposes a blind reputation-based scheme for cooperative spectrum sensing in the presence of malicious users for cognitive radio networks. The users are dynamically categorized into three states, according to their current reputation. A theoretical analysis, corroborated by computers simulations, is carried out to evaluate the performance and optimize the tuning of the operating parameters, in comparison with two recent blind cooperative techniques. The results evidence the efficiency of our method for fast and reliable detection of malicious users in cognitive radio networks.
Estimating the probability of a rare event

Let (X 1 ,Y 1 ),(X 2 ,Y 2 ),. ,(X n ,Y n ) be a random sample from a bivariate distribution function F which is in the domain of attraction of a bivariate extreme value distribution function G. A subset C of R 2 is given, which contains none of the observations. We shall give an asymptotic confidence interval for Pr((X i ,Y i ) ∈ C) under certain conditions.
Fruit-Derived Polysaccharides and Terpenoids: Recent Update on the Gastroprotective Effects and Mechanisms

Ulceration in the stomach develops in peptic ulcer disease when there is a loss of protective mucosal layers, particularly in Helicobacter pylori infection. Antibiotic therapy has failed to eradicate and impede the colonization of H. pylori. Despite given treatment, recurrent bleeding can occur and lead to death in the affected individual. The disease progression is also related to the non-steroidal inflammatory drug and stress. There are extensive research efforts to identify the gastroprotective property from various alkaloids, flavonoids, and tannins compounds from plants and marine. These natural products are believed to be safe for consumption. However, not much attention was given to summarize the carbohydrate and terpenoidal anti-ulcer compounds. Hence, this review will cover the possible mechanisms and information about acidic hydroxylans, arabinogalactan and rhamnogalacturon; and limonene, pinene, lupeol, citral, ursolic acid and nomilin to exemplify on the gastroprotective properties of polysaccharides and terpenoid, respectively, obtained from fruits. These compounds could act as a prebiotic to prevent the inhabitation of H. pylori, modulate the inflammation, suppress gastric cancer growth, and capable of stimulating the reparative mechanisms on the affected regions. Finally, this review provides the future research prospects of these natural compounds in an effort to develop new therapy for gastrointestinal tissue healing.
(Re)Configuring Bike Station Network via Crowdsourced Information Fusion and Joint Optimization

Thanks to their great success as a green urban transportation means of first/last-mile connectivity, bike sharing service (BSS) networks has been proliferating all over the globe. Their station (re)placement and dock resizing has thus become an increasingly important problem for bike sharing service providers. In contrast to the use of conventional labor-intensive user surveys, we propose a novel optimization framework called CBikes, (re)configuring the BSS network with crowdsourced station suggestions from online websites. Based on comprehensive real data analyses, we identify and utilize important global trip patterns to (re)configure the BSS network while balancing the local biases of individual feedbacks. Specifically, crowdsourced feedbacks, station usage history, cost and other constraints are fused into a joint optimization of BSS network configuration. We further design a semidefinite programming transformation to solve the bike station (re)placement problem efficiently and effectively. Our evaluation has demonstrated the effectiveness and accuracy of CBikes in (re)placing stations and resizing docks based on 3 large BSS systems (with more than 900 stations) in Chicago, Twin Cities, and Los Angeles, as well as related crowdsourced feedbacks.
Postprandial Triglycerides Predict Newborn Fat More Strongly than Glucose in Women with Obesity in Early Pregnancy

Maternal obesity (OB) accounts for the majority of large‐for‐gestational‐age infants, and newborn percent fat (NB%fat) correlates strongest with childhood OB. In addition to maternal glucose, fasting triglycerides (TGs) may contribute, but postprandial triglycerides (PPTGs) are unstudied. It was hypothesized that fasting TGs and PPTGs are higher in women with OB compared with women with normal weight (NW) throughout pregnancy, correlate more strongly with NB%fat than glucose, and may relate to dietary chylomicron TGs.