Miracle-dz/UniFAR-FTUs huggingface dataset:
Could Uranus and Neptune form by collisions of planetary embryos?

The origin of Uranus and Neptune remains a challenge for planet formation models. A potential explanation is that the planets formed from a population of a few planetary embryos with masses of a few Earth masses which formed beyond Saturn’s orbit and migrated inwards. These embryos can collide and merge to form Uranus and Neptune. In this work, we revisit this formation scenario and study the outcomes of such collisions using 3D hydrodynamical simulations. We investigate under what conditions the perfect-merging assumption is appropriate, and infer the planets’ final masses, obliquities, and rotation periods, as well as the presence of proto-satellite discs. We find that the total bound mass and obliquities of the planets formed in our simulations generally agree with N-body simulations therefore validating the perfect-merging assumption. The inferred obliquities, however, are typically different from those of Uranus and Neptune, and can be roughly matched only in a few cases. In addition, we find that in most cases, the planets formed in this scenario rotate faster than Uranus and Neptune, close to break-up speed, and have massive discs. We therefore conclude that forming Uranus and Neptune in this scenario is challenging, and further research is required. We suggest that future planet formation models should aim to explain the various physical properties of the planets such as their masses, compositions, obliquities, rotation rates, and satellite systems.
Magnon-mediated spin currents in Tm3Fe5O12/Pt with perpendicular magnetic anisotropy

The control of pure spin currents carried by magnons in magnetic insulator (MI) garnet films with a robust perpendicular magnetic anisotropy (PMA) is of great interest to spintronic technology as they can be used to carry, transport and process information. Garnet films with PMA present labyrinth domain magnetic structures that enrich the magnetization dynamics, and could be employed in more efficient wave-based logic and memory computing devices. In MI/NM bilayers, where NM being a normal metal providing a strong spin-orbit coupling, the PMA benefits the spin-orbit torque (SOT) driven magnetization's switching by lowering the needed current and rendering the process faster, crucial for developing magnetic random-access memories (SOT-MRAM). In this work, we investigated the magnetic anisotropies in thulium iron garnet (TIG) films with PMA via ferromagnetic resonance measurements, followed by the excitation and detection of magnon-mediated pure spin currents in TIG/Pt driven by microwaves and heat currents. TIG films presented a Gilbert damping constant {\alpha}~0.01, with resonance fields above 3.5 kOe and half linewidths broader than 60 Oe, at 300 K and 9.5 GHz. The spin-to-charge current conversion through TIG/Pt was observed as a micro-voltage generated at the edges of the Pt film. The obtained spin Seebeck coefficient was 0.54 {\mu}V/K, confirming also the high interfacial spin transparency.
Aspect ratio affects iceberg melting

Iceberg meltwater is a critical freshwater flux from the cryosphere to the oceans. Global climate simulations therefore require simple and accurate parameterisations of iceberg melting. Iceberg shape is an important but often neglected aspect of iceberg melting. Icebergs have an enormous range of shapes and sizes, and distinct processes dominate basal and side melting. We show how different iceberg aspect ratios and relative ambient water velocities affect melting using a combined experimental and numerical study. The experimental results show significant variations in melting between different iceberg faces, as well as within each iceberg face. These findings are reproduced and explained with novel multiphysics numerical simulations. At high relative ambient velocities melting is largest on the side facing the flow, and mixing during vortex generation causes local increases in basal melt rates of over 50%. Double-diffusive buoyancy effects become significant when the relative ambient velocity is low. Existing melting parameterisations do not reproduce our findings. We propose improvements to capture the influence of aspect ratio on iceberg melting.
Crepuscular Rays from the Highly Inclined Active Galactic Nucleus in IC 5063

On Earth near sunset, the Sun may cast “crepuscular rays” such that clouds near the horizon obscure the origin of light scattered in bright rays. In principle, active galactic nuclei (AGN) should be able to produce similar effects. Using new Hubble Space Telescope (HST) near-infrared and optical observations, we show that the active galaxy IC 5063 contains broad radial rays extending to ≳11 kpc from the nucleus. We argue that the bright rays may arise from dusty scattering of continuum emission from the active nucleus, while the dark rays are due to shadowing near the nucleus, possibly by a warped torus. We also consider alternative AGN-related and stellar origins for the extended light.
Unraveling the Processes of Microsatellite Evolution Through Analysis of Germ Line Mutations in Barn Swallows Hirundo rustica

Direct analysis of mutation events provides important clues for understanding the processes of microsatellite evo- lution. A barn swallow Hirundo rustica (AAAG) n tetranucleotide repeat locus displayed hypervariability and hypermutability, with 44 mutations observed among 1,209 meioses, yielding an average mutation rate of 3.6%. The magnitude of mutations was compatible with a stepwise mutation model, although not exclusively involving single-step changes (7 out of 44 mutations involved 2–5 repeat units). Mutations were signiﬁcantly biased toward expan- sions rather than contractions, a situation that, in the absence of any balancing mechanism, would lead to gradual and eventually uncontrolled growth. There was a positive relationship between repeat length and the mutation rate, at least for alleles up to about 140 repeat units. The size differences of an individual’s two alleles (‘‘allele span’’) did not affect the mutation rate. The sex of the mutating individual had an inﬂuence on the mutation process in several ways; expansions were more common in the male germ line than in the female germ line, the magnitude of size alteration was larger in females than in males, and the average mutation rate was nearly twice as high in males as in females. These observations demonstrate that the mutation process of microsatellites may be more complex than previously thought.
Proposal of a Novel Bug Bounty Implementation Using Gamification

Despite significant popularity, the bug bounty process has remained broadly unchanged since its inception, with limited implementation of gamification aspects. Existing literature recognises that current methods generate intensive resource demands, and can encounter issues impacting program effectiveness. This paper proposes a novel bug bounty process aiming to alleviate resource demands and mitigate inherent issues. Through the additional crowdsourcing of report verification where fellow hackers perform vulnerability verification and reproduction, the client organisation can reduce overheads at the cost of rewarding more participants. The incorporation of gamification elements provides a substitute for monetary rewards, as well as presenting possible mitigation of bug bounty program effectiveness issues. Collectively, traits of the proposed process appear appropriate for resource and budget-constrained organisations - such Higher Education institutions.
Inter-database validation of a deep learning approach for automatic sleep scoring

Study objectives Development of inter-database generalizable sleep staging algorithms represents a challenge due to increased data variability across different datasets. Sharing data between different centers is also a problem due to potential restrictions due to patient privacy protection. In this work, we describe a new deep learning approach for automatic sleep staging, and address its generalization capabilities on a wide range of public sleep staging databases. We also examine the suitability of a novel approach that uses an ensemble of individual local models and evaluate its impact on the resulting inter-database generalization performance. Methods A general deep learning network architecture for automatic sleep staging is presented. Different preprocessing and architectural variant options are tested. The resulting prediction capabilities are evaluated and compared on a heterogeneous collection of six public sleep staging datasets. Validation is carried out in the context of independent local and external dataset generalization scenarios. Results Best results were achieved using the CNN_LSTM_5 neural network variant. Average prediction capabilities on independent local testing sets achieved 0.80 kappa score. When individual local models predict data from external datasets, average kappa score decreases to 0.54. Using the proposed ensemble-based approach, average kappa performance on the external dataset prediction scenario increases to 0.62. To our knowledge this is the largest study by the number of datasets so far on validating the generalization capabilities of an automatic sleep staging algorithm using external databases. Conclusions Validation results show good general performance of our method, as compared with the expected levels of human agreement, as well as to state-of-the-art automatic sleep staging methods. The proposed ensemble-based approach enables flexible and scalable design, allowing dynamic integration of local models into the final ensemble, preserving data locality, and increasing generalization capabilities of the resulting system at the same time.
DiviK: Divisive intelligent K-means for hands-free unsupervised clustering in biological big data

Investigation of molecular heterogeneity provides insights about tumor origin and metabolomics. Increasing amount of data gathered makes manual analyses infeasible. Automated unsupervised learning approaches are exercised for this purpose. However, this kind of analysis requires a lot of experience with setting its hyperparameters and usually an upfront knowledge about the number of expected substructures. Moreover, numerous measured molecules require additional step of feature engineering to provide valuable results. In this work we propose DiviK: a scalable auto-tuning algorithm for segmentation of high-dimensional datasets, and a method to assess the quality of the unsupervised analysis. DiviK is validated on two separate high-throughput datasets acquired by Mass Spectrometry Imaging in 2D and 3D. Proposed algorithm could be one of the default choices to consider during initial exploration of Mass Spectrometry Imaging data. With comparable clustering quality, it brings the possibility of focusing on different levels of dataset nuance, while requires no number of expected structures specified upfront. Finally, due to its simplicity, DiviK is easily generalizable to even more flexible framework, with other clustering algorithm used instead of k-means. Generic implementation is freely available under Apache 2.0 license at this https URL.
Associations among living alone, social support and social activity in older adults

Objectives We examined cross-sectional associations of living alone with social isolation among community-dwelling older adults in Worcester County, Massachusetts, USA. Methods Four hundred participants 65 years old and older were recruited in community group settings or by direct mail. Participants were queried for living status, social support, frequency of social activity, sociodemographic and lifestyle factors, and health conditions. Social isolation was assessed by lack of social support and decreased frequency of social activity. Physical activity (PA) was measured via an accelerometer and global positioning system (GPS), which was worn by the participant, for at least 7 consecutive days. Results Participants living alone (N = 110) had less social support than those living with others (N = 290) (p < 0.001) but did not differ significantly in the frequency of their social activities. Group-setting recruitment was strongly associated with greater social activity (p < 0.001). Less social support was independently associated with a less-than-high-school education (p = 0.001), higher CES-D depression score (p < 0.001) and lower PA (p = 0.003). Less social activity was independently associated with a less-than-high-school education (p = 0.007) and annual income less than $50,000 (p = 0.01). Discussion Older adults who are socioeconomically disadvantaged, have less social support, and who live alone are more likely to be socially isolated and may benefit from continuation of low-cost social activities and increased social support inside the home. Identifying correlates of social isolation may inform future interventions.
High expression of TOP2A in hepatocellular carcinoma is associated with disease progression and poor prognosis

Hepatocellular carcinoma (HCC) is a common malignant tumor in the clinic. Although there are increasing numbers of available treatment methods, their therapeutic effects are not satisfactory. The clinical indicators commonly used to predict the prognosis of HCC include tumor size, degree of cirrhosis, degree of tumor differentiation and tumor microvascular invasion; however, there are currently no molecular indicators that can predict the prognosis of HCC. Due to the differences in the progression of liver cancer among individuals, there is a growing need for prognostic biomarkers to accurately stratify patients for appropriate risk-adaptive treatment. The DNA topoisomerase 2-α (TOP2A) gene, which is located on human chromosome 17, encodes DNA topoisomerase IIα. Previous studies have demonstrated that TOP2A indicates a poor prognosis in patients with various types of tumors, but no such studies are currently available on HCC. By analyzing the differential expression of TOP2A in 50 pairs of tumor and paracancerous tissue samples in The Cancer Genome Atlas (TCGA) database, the present study revealed that the expression of TOP2A was significantly higher in tumor tissue compared with that in paracancerous tissue (P=6.319×10−16). In the collected clinical samples, the mRNA expression levels of TOP2A were significantly upregulated in HCC tumor tissues compared with those in the paracancerous tissues (P=6.40×10−3), suggesting that TOP2A was associated with the occurrence and development of liver cancer. In addition, the associations between TOP2A expression, clinicopathological features and prognosis were analyzed using a multi-center large sample dataset from TCGA database, and the results demonstrated that high expression of TOP2A was associated with a higher T stage, poorer clinical stage and higher histological grade compared with those in patients with low TOP2A expression. High expression of TOP2A was also identified to be associated with a poor prognosis of HCC, particularly in Asian populations. These results suggested that high expression of TOP2A in HCC tissues may be closely associated with tumor progression and metastasis, which may be used as a biological indicator to predict tumor prognosis in clinical practice.
Acute Pancreatitis in Mild COVID-19 Infection

The novel coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has caused a global health crisis. This virus uses angiotensin converting enzyme 2 (ACE2) receptors to facilitate cellular entry. ACE2 receptors appear to be highly expressed in pancreatic exocrine glands and islet cells, more so than in lung tissues, suggesting that pancreatic injury can occur despite having only mild COVID-19 symptoms. We report a patient with COVID-19 who presented with only gastrointestinal symptoms and discuss the importance of identifying pancreatitis early to improve prognosis.
The Effect of Hydrolysis Pre-Treatment by Flavourzyme on Meat Quality, Antioxidative Profiles, and Taste-Related Compounds in Samgyetang Breast Supplemented with Black Garlic

Abstract This study aimed to carefully investigate the effect of hydrolysis using Flavourzyme on meat quality, antioxidative status, and taste-related compounds in breast of Samgyetang that was supplemented with black garlic (BG). Four different treatment groups were compared: (1) conventional Samgyetang (control), (2) Samgyetang hydrolyzed with Flavourzyme (1%, v/w) (FS), (3) Samgyetang made with the BG extract without hydrolysis (NBG), and (4) BG samgyetang pre-treated with Flavourzyme (1%, v/w) in a water bath at 55°C for 2.5 h and hydrolyzed before being processed (HBG). All the treatment groups were cooked by retorting at conditions 121°C and 1.5 kg/cm2 for 1 h. Improved umami profiles through the increase of umami-related nucleotides (5’-GMP, 5’-IMP) and free amino acids—aspartic acid and glumtamic acid, in Samgyetang breast was recorded following hydrolysis. The HBG group tended to impart stronger scavenging activity toward free radicals compared with the other two groups, while not differing with NBG group regarding suppressing malondialdehyde. Textural properties were improved through hydrolysis, wherein the shear force value decreased from 2.29 kgf in the control to 1.19 and 1.25 kgf in the FS and HBG group. Moisture percentages were highly retained, with the redness score increasing and the lightness color decreasing following hydrolysis. In conclusion, the results of this study can be a preliminary information of the effect of hydrolysis pre-treatment for BG samgyetang. Further experiments are required to compare various enzymes along with its organoleptic acceptances.
EXCAVATION WITHOUT INTERNAL SUPPORT AND ITS IMPLICATIONS IN CONSTRUCTION MANAGEMENT: A CASE STUDY

This paper presents a case study of a basement construction during building renovation, where an underground tube-like retaining structure was constructed with a strut-free support system. This underground structure was formed by combining a new arch diaphragm wall built outside the old basement and an arch reinforced concrete wall constructed inside the old basement. The arch reinforced concrete wall was connected to the old substructure or basement. Pile installation, excavation, and demolition were conducted inside this tube-like retaining structure. The lateral displacement of the retaining wall and soil and the stress of the rebar in the diaphragm wall and the ground settlement surrounding the construction site were measured at each stage of the construction. Field measurements indicate that after the completion of the new substructure, the maximum displacement of the wall was 20 mm, which was about 0.1% of the final excavation depth. These values were much smaller than the values obtained in the common excavations in Taipei. The field measurement results demonstrate that the combination of a new arch diaphragm wall and an old retaining wall support system is feasible in a building renovation context. This method reduces not only the construction cost but also the construction duration by up to 6 months.
COVID-19, 5G conspiracies and infrastructural futures

This article examines the emergence of conspiracy theories linking COVID-19 with 5G, with a focus on Australia, the United States and United Kingdom. The article is in two parts. The first details long-standing concerns around mobile technologies and infrastructures before showing how they translate to specific worries about 5G technology. The second shows how these fears have fuelled specific conspiracies connecting 5G with COVID-19, how they have animated protests and acts of vandalism that have occurred during the pandemic, and the ongoing engagement of conspiracists with official inquiries into 5G. Finally, we argue that a productive way to understand what is happening with 5G is to look beyond conspiracy theories to a larger set of concerns. We argue that the battle for control of 5G infrastructure can be productively understood in geopolitical terms, as forms of economic statecraft, which partly explains why governments are increasingly concerned about countering misinformation and disinformation around 5G.
Sleep patterns and its relation to lifestyle habits: a study of secondary high school students in Sharjah, United Arab Emirates

Objectives Sleep is a fundamental element in the growth and development of adolescents. Sleep undergoes significant changes during adolescence due to physiological and environmental factors. It has been scientifically shown that the required sleep duration in adolescence is more than 8 hours per day. The aim of this study is to understand sleep patterns and sleep-wake cycle of Sharjah adolescents, and identify lifestyle habits affecting those sleep patterns, and to assess the prevalence of sleep problems. Methods The study was a cross-sectional survey of 519 high-school students, ages 14–21 years, in Sharjah city, United Arab Emirates. It was conducted using a self-filled questionnaire that included questions about demographic data, sleep and lifestyle habits and sleep problems of adolescents. Results The mean age of our sample was 16.24. Most students (64.5%) were reported to sleep between 5 and 8 hours on school nights. The average time to go to bed on weekdays was 11:25 PM. The average time to wake up on weekdays was 6:12 AM. Frequent arousals with difficulty getting back to sleep was the most encountered sleep problem among our sample. Conclusion A large proportion of adolescents in our study had insufficient sleep duration and suffer from some sleep disturbances. Smoking was found to be associated with sleep as non-smokers obtained longer sleep durations. There was no association between physical activity or usage of electrical devices and sleep. Therefore, it is necessary to intervene by organizing awareness programs to improve sleep patterns among adolescent students.
Caduet enhances connexin 43 phosphorylation in left ventricular and thoracic aorta of SH model rats

Caduet, also known as amlodipine besylate and atorvastatin calcium (AM + AT) tablet, can improve cardiac and vascular remodeling in patients with spontaneous hypertension (SH), but the underlying mechanism remains unknown. The present study aimed to explore whether AM + AT improved hypertensive left ventricular and thoracic aortic remodeling by regulating connexin 43 (Cx43) phosphorylation. A total of 32 male spontaneous hypertension model rats (SHR) were randomly divided into four groups: SHR control group, amlodipine-alone group (SHR-AM), atorvastatin-alone (SHR-AT) and AM + AT group (SHR-AM + AT); 8 Wistar-Kyoto (WKY) rats with normal blood pressure were used as the normal control. Drugs were orally administered for 8 weeks; subsequently, body weight, heart rate (HR), left ventricular mass index (LVMI), blood pressure (BP), plasma lipid levels and morphological changes of myocardial tissue in each group were analyzed. The expression of total (T)-Cx43 and phosphorylated (P)-Cx43 protein in the left ventricular and thoracic aortic tissues was determined using western blotting and immunofluorescence double labeling. The results revealed that AM + AT significantly decreased LVMI and cardiomyocyte cross-sectional area compared with SHR-AM and SHR-AT group. The western blotting results demonstrated that AM + AT could inhibit the expression of T-Cx43 protein, but increased the expression of P-Cx43 in the left ventricular and thoracic aorta. Moreover, immunofluorescence results indicated AM + AT could also decrease the expression T-Cx43, and increase that of P-Cx43 in the left ventricular and thoracic aorta compared with AM and AT alone. Therefore, it was concluded that AM + AT may mitigate left ventricular and thoracic aorta remodeling in SH rats by enhancing Cx43 phosphorylation, and the efficacy of AM + AT was superior to that of AM and AT alone.