Miracle-dz/UniFAR-FTUs huggingface dataset:
Expression profiles of RNA‐Seq‐based grey matter‐specific genes versus white matter‐specific genes in grey matter lesions of multiple sclerosis

Accumulating evidence shows that formation of cortical grey matter lesions, characterized by accumulation of activated microglia, axonal transection, synaptic loss and neuronal apoptosis, is common in multiple sclerosis (MS) beginning at the early stage. Grey matter lesions are closely associated with disease progression and permanent disability in MS. At present, the precise molecular signature characteristic of grey matter damage in MS brains remains to be intensively characterized.
Effect of CZB Medium on the Two Cell Block of Preimplantation Mouse Emryos

This experiment was designed to determine the effects of CZB medium on in vitro culture of murine embryos obtained from FVB/N, CD-1, and CB6F1 strains. Pronuclear stage embryos were recovered from superovulated and mated females 17 h post- hCG. Two-cell stage block, morula and blastocyst stages were used as the end point of the experiments. There is no statistical difference among strains and media for the development to the two-cell stage. However, more FVB/N embryos (88.3 and 82.4%) than CD-1 (57.4 and 57.1%) and CB6F1 (69.8 and 28.9%) reached the 3-8 cell stage in CZB and M16 media, respectively. CB6F1 embryos developed better (69.8%) in CZB than in M16 (28.9%). Morula development for FVB/N embryos was superior (75.0%) in CZB when compared to M16. Collectively, these data suggest that there are strain differences for in vitro embryo development and the in vitro culture medium has a profound effect on in vitro development.
Seroprevalence of Dirofilaria immitis in Stray Dogs in İstanbul and İzmir

Three hundred eighty stray dogs (232 female and 148 male) from Istanbul and Izmir were tested with antigen detecting ELISA for Dirofilaria immitis infection. Blood samples were collected between November 2002 and April 2003. D. immitis infection was found in 4 dogs tested. Seroprevalence among these dogs in Istanbul was 1.52%. Seroprevalence was the highest (2.22%) in the 3-6-year-old age group, followed by 1.02% in the 1-3-year-old age group. However, there was no significant difference between these age groups (P > 0.05). No significant difference between male and female dog groups was observed in Istanbul (P > 0.05). There was no seropositivity among stray dogs in Izmir.
The wind production from black hole hot accretion flow

Abstract Observations of low luminosity active galactic nuclei (LLAGNs) and the hard state of black hole X-ray binaries (BHBs) show that the wind exists. Black hole in LLAGNs and hard state of BHBs accretes gas in hot accretion mode. In this paper, we first use magnetohydrodynamic (MHD) simulations of hot accretion flow around a black hole to study the origin of the wind. We find that the wind is driven by the combination of gradients of gas and magnetic pressure and centrifugal forces. Second, we use simulations with focus on the region around Bondi radius to study whether the wind can be generated outside Bondi radius. In the simulation studying hot accretion flow around Bondi radius, in addition to the black hole gravity, we also take into account the gravity of nuclei stars. We find that the wind can not be generated outside Bondi radius. The absence of the wind is due to the change of gravity potential.
Microrna regulation of central nervous system development and their species-specific role in evolution

In mice, microRNAs (miRNAs) are required for embryonic viability, and previous reports implicate miRNA participation in brain cortical neurogenesis. Here, we provide a more comprehensive analysis of miRNA involvement in cortical brain development. To accomplish this we used mice in which Dicer, the RNase III enzyme necessary for canonical miRNA biogenesis, is depleted from Nestin expressing progenitors and progeny cells. We systematically assessed how Dicer depletion impacts proliferation, cell death, migration and differentiation in the developing brain. Using markers for proliferation and in vivo labeling with thymidine analogs, we found reduced numbers of proliferating cells, and altered cell cycle kinetics from embryonic day 15.5 (E15.5). Progenitor cells were distributed aberrantly throughout the cortex rather than restricted to the ventricular and subventricular zones. Activated Caspase3 was elevated, reflecting increased cortical cell death as early as E15.5. Cajal-Retzius positive cells were more numerous at E15.5 and were dysmorphic relative to control cortices. Consistent with this, Reelin levels were enhanced. Doublecortin and Rnd2 were also increased and showed altered distribution, supporting a strong regulatory role for miRNAs in both early and late neuronal migration. In addition, GFAP staining at E15.5 was more intense and disorganized throughout the cortex with Dicer depletion. These results significantly extend earlier works, and emphasize the impact of miRNAs on
Polymeric conjugates of drugs and antibodies for site‐specific drug delivery

The synthesis of targetable conjugates of doxorubicin bound to N‐(2‐hydroxypropyl)methacrylamide copolymers was investigated. Anti‐CD3 antibody against TCR/CD3 complex was used to target the conjugates to T‐cells. The effect of structure of the oligopeptide spacer between the drug and polymer as well as of the polymer modification with the antibody on the rate of drug release from the polymeric carrier system incubated in vitro with cathepsin B or with a mixture of intracellular enzymes (tritosomes) is discussed. The results of in vitro drug‐release experiments are correlated with the evaluation of T‐cell cytotoxicity of targeted and nontargeted polymer‐bound doxorubicin conjugates measured in vitro as the inhibition of Con‐A stimulated growth of human peripheral blood lymphocytes (3H‐thymidine incorporation method).
Photometry and spin rates of 4 NEAs recently observed by the Mexican Asteroid Photometry Campaign

Abstract We present photometric observations of (4055) Magellan, (143404) 2003 BD44, 2014 JO25 and (3122) Florence, four potentially hazardous Near Earth Asteroids (NEAs). The data were taken near their approaches to Earth by 3 observatories participating in the Mexican Asteroid Photometry Campaign (CMFA). The results obtained: light curves, spin rates, amplitudes and errors, are in general agreement with those obtained by others. During the day of a NEAs maximum approach to our planet, its light curve may present significant changes. In the spin rate, however, only minute changes are observed. 2014 JO25 is briefly discussed in this regard.
The resistome of common human pathogens

Genes capable of conferring resistance to clinically used antibiotics have been found in many different natural environments. However, a concise overview of the resistance genes found in common human bacterial pathogens is lacking, which complicates risk ranking of environmental reservoirs. Here, we present an analysis of potential antibiotic resistance genes in the 17 most common bacterial pathogens isolated from humans. We analyzed more than 20,000 bacterial genomes and defined a clinical resistome as the set of resistance genes found across these genomes. Using this database, we uncovered the co-occurrence frequencies of the resistance gene clusters within each species enabling identification of co-dissemination and co-selection patterns. The resistance genes identified in this study represent the subset of the environmental resistome that is clinically relevant and the dataset and approach provides a baseline for further investigations into the abundance of clinically relevant resistance genes across different environments. To facilitate an easy overview the data is presented at the species level at www.resistome. biosustain.dtu. dk.
Accounting for uncertainty in species delineation during the analysis of environmental DNA sequence data

1. Defining species boundaries represents a significant challenge in biodiversity studies, especially as these studies increasingly rely on high‐throughput DNA sequencing technologies. A promising approach for delineating species in environmental sequence data combines phylogenetics and coalescence theory to estimate species boundaries from distributions of lineage birth rates within multispecies coalescent trees.
An introduction to astrobiology

Of course, from childhood to forever, we are always thought to love reading. It is not only reading the lesson book but also reading everything good is the choice of getting new inspirations. Religion, sciences, politics, social, literature, and fictions will enrich you for not only one aspect. Having more aspects to know and understand will lead you become someone more precious. Yea, becoming precious can be situated with the presentation of how your knowledge much.
Smart Biomedical and Physiological Sensor Technology V

The proceedings contain 12 papers. The topics discussed include: image quality assessment of smartphone-based retinal imaging systems;who watches the watches: on the delivery of the specifications of smart wearable devices and recommendations on the related best practices;impedance-based characterization of healthy and cancer cell derived exosome samples;comparing energy levels in brain regions of interest in ADHD subjects;V-Pods: rapid, sensitive detection of intact SARS-CoV-2 using DNA nets and a smartphone-linked fluorimeter;laser-induced breakdown spectroscopy (LIBS)-based assay for point-of-care (POC) detection of cytokines in COVID-19 infection;predicting heart failure disease using machine learning;three-dimension EEG-based connectivity biomarkers for neurological disorder detections;fiber optic polarization temperature sensor for biomedical and military security systems;efficacy of ferromagnetic cores on the performance of TMS coils;and classification of diabetes mellitus disease using machine learning.
Mushroom corals (Scleractinia: Fungiidae) of Madang Lagoon, northern Papua New Guinea: an annotated check-list with the description of Cantharellus jebbi spec. nov

A check-list of mushroom corals (Fungiidae) is given with annotations on their distribution in Madang Lagoon, northern Papua New Guinea, Bismarck Sea. A total of 36 fungiid species is recorded from this locality, which is more than from any other studied so far. One species, Cantharellus jebbi spec, nov., is new to science. It is the only monostomatous mushroom coral species known that is entirely encrusting. It also represents the first record of a recent Cantharellus species in the IndoMalayan region.
Cloning and characterization of a laccase gene from Ganoderma spp. causing basal stem rot disease in coconut

Basal stem rot disease in coconut is caused by the white-rot fungus Ganoderma lucidum, which is soilborne in nature. Its degree of virulence is governed by the activity of the laccase enzyme. Of twenty-five isolates belonging to the genus Ganoderma obtained from different host species, the isolate from Silent Valley (SV) showed the greatest laccase activity in vitro, followed by the isolate from Veppankulam (CRS-1). These two isolates also reacted positively in the laccase assay in vitro. The laccase-positive SV and CRS-1 isolates were further amplified by polymerase chain reaction (PCR) using degenerate primers for the partial sequence, which showed the fragment size of 200 bp. The highly virulent SV isolate was cloned in a plasmid vector and sequenced. It was confirmed as a partial-length laccase gene and submitted to the GenBank database. The nucleotide sequence of the DNA of this isolate showed high homology with those of the laccase genes of other basidiomycetes.
Explicit Representation of the Translation Space: Automatic Paraphrasing for Machine Translation Evaluation

Following previous work on automatic paraphrasing, we assess the feasibility of improving BLEU (Papineni et al., 2002) using state-of-the-art neural paraphrasing techniques to generate additional references. We explore the extent to which diverse paraphrases can adequately cover the space of valid translations and compare to an alternative approach of generating paraphrases constrained by MT outputs. We compare both approaches to human-produced references in terms of diversity and the improvement in BLEU's correlation with human judgements of MT quality. Our experiments on the WMT19 metrics tasks for all into-English language directions show that somewhat surprisingly, the addition of diverse paraphrases, even those produced by humans, leads to only small, inconsistent changes in BLEU's correlation with human judgments, suggesting that BLEU's ability to correctly exploit multiple references is limited
Multi-View Spectral Clustering Tailored Tensor Low-Rank Representation

This paper explores the problem of multi-view spectral clustering (MVSC) based on tensor low-rank modeling. Unlike the existing methods that all adopt an off-the-shelf tensor low-rank norm without considering the special characteristics of the tensor in MVSC, we design a novel structured tensor low-rank norm tailored to MVSC. Specifically, we explicitly impose a symmetric low-rank constraint and a structured sparse low-rank constraint on the frontal and horizontal slices of the tensor to characterize the intra-view and inter-view relationships, respectively. Moreover, the two constraints could be jointly optimized to achieve mutual refinement. On basis of the novel tensor low-rank norm, we formulate MVSC as a convex low-rank tensor recovery problem, which is then efficiently solved with an augmented Lagrange multiplier-based method iteratively. Extensive experimental results on seven commonly used benchmark datasets show that the proposed method outperforms state-of-the-art methods to a significant extent. Impressively, our method is able to produce perfect clustering. In addition, the parameters of our method can be easily tuned, and the proposed model is robust to different datasets, demonstrating its potential in practice. The code is available at https://github.com/jyh-learning/MVSC-TLRR.
Polygonal Building Segmentation by Frame Field Learning

While state of the art image segmentation models typically output segmentations in raster format, applications in geographic information systems often require vector polygons. We propose adding a frame field output to a deep image segmentation model for extracting buildings from remote sensing images. This improves segmentation quality and provides structural information, facilitating more accurate polygonization. To this end, we train a deep neural network, which aligns a predicted frame field to ground truth contour data. In addition to increasing performance by leveraging multi-task learning, our method produces more regular segmentations. We also introduce a new polygonization algorithm, which is guided by the frame field corresponding to the raster segmentation.
You are right. I am ALARMED - But by Climate Change Counter Movement

The world is facing the challenge of climate crisis. Despite the consensus in scientific community about anthropogenic global warming, the web is flooded with articles spreading climate misinformation. These articles are carefully constructed by climate change counter movement (cccm) organizations to influence the narrative around climate change. We revisit the literature on climate misinformation in social sciences and repackage it to introduce in the community of NLP. Despite considerable work in detection of fake news, there is no misinformation dataset available that is specific to the domain.of climate change. We try to bridge this gap by scraping and releasing articles with known climate change misinformation.
Influence of simulated body condition score on growth, physiological responses and blood metabolites of native Malpura ram

The effect of simulated body condition score (BCS) on body weight, wool yield, respiration rate, pulse rate and rectal temperature was evaluated in native Malpura ram. The rams were randomly divided into group 1 (2.5 BCS; n= 7), group 2 (BCS 3.0–3.5; n=7) and group 3 (BCS 4.0; n=7). Apart from grazing for 8 h a day, the rams were provided with concentrate mixture @ of 100 g, 300 g and 500 g to group 1, 2, and 3, respectively, to attain their respective BCS. The body weight (kg), heart girth (cm) physiological responses i.e. respiration rate (RR, breath/min), pulse rate (PR, beat/ min) and rectal temperature (RT °C) were recorded at fortnightly interval. The wool yield was recorded at 6 monthly interval clipping. The blood samples were also collected at fortnightly interval and analyzed for packed cell volume (PCV, %), hemoglobin (Hb, g/dl) and glucose (mg/dl). The animals of G1 had significantly lower (P<0.05) RR and RT than the other 2 groups of rams. A significant decrease in the body weight, HG and wool yield was observed in G1 rams as compared to G2 and G3 rams. The PCV, Hb and glucose values were significantly higher in G2, G3 animals than that of G1 animals.
Isolation and characterization of microsatellite markers for Araucaria angustifolia (Araucariaceae)

Araucaria angustifolia is a dioecious tree species that occurs in the southern part of Brazil. Because of the intense exploitation of the species due to its valuable wood, only 2% of the original population still remains. Twenty-nine species-specific and highly polymorphic microsatellite loci were developed from a genomic library enriched for AG/TC repeats. Levels of polymorphism were evaluated using a total of 16 adult trees from a natural population. An average of 8.1 alleles per locus was detected, and expected heterozygosity ranged from 0.63 to 0.72.
The establishment of a training and development framework system for the Libya's oil industry

The vital role of training and development, and its positive impact on the effectiveness of modern organisations is a key pillar in the success of not only individual employees, but entire countries. This is especially true in Libya, a nation that has only just begun the process of rebuilding its economy, and national infrastructure following years of devastating civil war. The Libyan oil sector accounts for 80% of the country's GDP, and 97% of all exports. Despite this, the country's unemployment rate hovers around 30%, while expatriate workers represent an estimated one-fifth of the country’s labour force. The aim of this research is to analyse the effectiveness and efficiency of training system in the Libyan oil industry, leading to the development of new processes for the training. As a result, an increased number of Libyan citizens will find meaningful and long-term employment, while the country’s main economic driver – the oil industry – will rebound more quickly to its former capacity. Production currently stands at less than one fifth of the 1.6 million barrels per day Libya was producing before the political instability of 2011. The design of this research study contained two stages started in sequence manner. Firstly, the researcher conducted interviews with heads of training and development departments and other management level personnel for eleven different Libyan oil companies, all of them working under the umbrella of the Libyan National Oil Corporation. Then in order to validate the data/information collected throughout those interviews, a questionnaire has been handled to the employees in targeted companies. As result of choosing mixed methodology to be the research method, this led to consider two bases for the research design. On the one hand, non-random for the qualitative approach and on the other hand random for the quantitative approach. The main finding of this research is that social factors characterising the Libyan society (tribal system) such as nepotism, intermarriage and cronyism which locally known as "WASTA" have affected the management of training process in the Libyan oil sector. This has resulted in a negative competition atmosphere and developing significant job dissatisfaction. The researcher has proposed to develop a model, through this research, that will result in efficient training and development (T&D) system which will lower costs to business, improve turn-around times, company productivity, and the livelihoods of tens of thousands of Libyan people desperate for stable, and well-paying jobs in the aftermath of a deadly and destabilizing revolution. This research contributed to knowledge through the development of a theoretical T&D framework in the Libyan context, to enhance employees' engagement and replacing the current negative atmosphere to a healthier positive competitor environment.
CALSPEC: HST Spectrophotometric Standards at 0.115 to 32 μm with a 1% Accuracy Goal

Abstract The flux distributions of spectrophotometric standard stars were initially derived from the comparison of stars to laboratory sources of known flux but are now based on calculated model atmospheres. For example, pure hydrogen white dwarf (WD) models provide the basis for the HST CALSPEC archive of flux standards. There is good evidence that relative fluxes from the visible to the near-IR wavelength of ∼2.5 μm are currently accurate to ∼1% for the primary reference standards.
The anisotropic fractional isoperimetric problem with respect to unconditional unit balls

The minimizers of the anisotropic fractional isoperimetric inequality with respect to the convex body $K$ in $\mathbb{R}^n$ are shown to be equivalent to star bodies whenever $K$ is strictly convex and unconditional. From this a Polya-Szego principle for anisotropic fractional seminorms is derived by using symmetrization with respect to star bodies.
Observed mobility behavior data reveal social distancing inertia

The research team has utilized an integrated dataset, consisting of anonymized location data, COVID-19 case data, and census population information, to study the impact of COVID-19 on human mobility. The study revealed that statistics related to social distancing, namely trip rate, miles traveled per person, and percentage of population staying at home have all showed an unexpected trend, which we named social distancing inertia. The trends showed that as soon as COVID-19 cases were observed, the statistics started improving, regardless of government actions. This suggests that a portion of population who could and were willing to practice social distancing voluntarily and naturally reacted to the emergence of COVID-19 cases. However, after about two weeks, the statistics saturated and stopped improving, despite the continuous rise in COVID-19 cases. The study suggests that there is a natural behavior inertia toward social distancing, which puts a limit on the extent of improvement in the social-distancing-related statistics. The national data showed that the inertia phenomenon is universal, happening in all the U.S. states and for all the studied statistics. The U.S. states showed a synchronized trend, regardless of the timeline of their statewide COVID-19 case spreads or government orders.