Miracle-dz/UniFAR-FTUs huggingface dataset:
At the survey limits: discovery of the Aquarius 2 dwarf galaxy in the VST ATLAS and the SDSS data

We announce the discovery of the Aquarius 2 dwarf galaxy, a new distant satellite of the Milky Way, detected on the fringes of the VLT Survey Telescope (VST) ATLAS and the Sloan Digital Sky Survey (SDSS) surveys. The object was originally identified as an overdensity of red giant branch stars, but chosen for subsequent follow-up based on the presence of a strong blue horizontal branch, which was also used to measure its distance of similar to 110 kpc. Using deeper imaging from the Inamori-Magellan Areal Camera and Spectrograph camera on the 6.5m Baade and spectroscopy with DEep Imaging Multi-Object Spectrograph on Keck, we measured the satellite's half-light radius 5.1 +/- 0.8 arcmin, or similar to 160 pc at this distance, and its stellar velocity dispersion of 5.4(-0.9)(+3.4) km s(-1). With mu = 30.2 mag arcsec(-2) and M-V = -4.36, the new satellite lies close to two important detection limits: one in surface brightness; and one in luminosity at a given distance, thereby making Aquarius 2 one of the hardest dwarfs to find.
Case Report Comorbid Major Depressive Disorder and Obstructive Sleep Apnea

early studies found that the two conditions are associated bidirectionally and lead to poor health outcomes. The prevalence of comorbid MDD in OSA patients could be as high as two-thirds. A sedentary lifestyle and psychological stress in the globalisation age may increase the risk of MDD and OSA. Method . We reported a case of an MDD patient with OSA as well as discussed the assessment method and also reviewed the treatment of both conditions. We aimed to raise awareness for psychiatrists to di ﬀ erentiate other medical conditions when the symptomatology of MDD is atypical and unresponsive to standard psychiatric treatment. Conclusion . Early detection and e ﬀ ective treatment for MDD and OSA are essential to achieve patient outcomes. Furthermore, it can reduce complications from both conditions. Therefore, a comprehensive evaluation should be made to determine the diagnoses when physicians suspect overlapping MDD and OSA.
JOURNAL OF ENGLISH EDUCATION AND LINGUISTICTS AN ACADEMIC WRITING SKILL THROUGH A BLENDED LEARNING METHOD

Coronavirus infection has carried the another climate to the educating and educational experience. Where the genuine action for talks and understudies was exceptionally restricted to do eye to eye action. It is the way hat training and opposite side of world action constrained at this point. Gaining from Home (LFH) as the one of option trained by partner to do the educating and learning despite the fact that they are not in the study hall. This study presents how the mixed learning will be applied in scholastic composing Subject. This study is a contextual investigation plan where the essayist depicts and assesses mixed learning in the scholarly composing subject educational experience to convey the materials in light of the prospectus composing practice by finishing task, task accommodation and reviewing, understudies' anxiety with the educators' elaboration and Foreign Language activity and understudies assessment. The members will permit in this study are 13 understudies of fifth semester understudies of the English Education Program, Mandailing Natal Islamic State College. The information was gathered through perception and short meeting the understudies. The aftereffect of this study shows that the understudies appreciated and profited from the mixed learning utilized in Academic Writing Subject. It help persuaded the understudies to became free students and increasd their capacity to compose passage, exposition, undergrad proposition or postulation and so on.
Ocular In Situ Gel

– The eye is the body's most delicate organ. Because of the complicated anatomical structure of the eye, designing an ocular drug delivery system is the most difficult task for pharmaceutical scientists. Less than 5% of administered drugs enter the eye. poor corneal transparency, a tiny absorptive surface, and corneal lipophilicity drug's bonding with the epithelium, precorneal loss (due to nasolacrimal drainage), and proteins in tear fluid, blinking, and a small conjunctival sac, which limit the drug's molecule entering the place of action, which ultimately results in poor ocular health therapy. Numerous studies in this field support the idea that in situ gelling systems are advantageous for delivering drugs to the eyes. In situ gel forming systems are drug delivery systems that are in solution form before administration in the body but once administered, undergo in situ gelation, to a gel triggered by external stimulus such as temperature, pH etc.Ocular In-situ gelling systems are a new class of eye drug delivery systems that are initially in solution but are quickly transformed into a viscous gel when introduced or inserted into an ocular cavity where active drugs are released continuously. This sol-to-gel phase conversion depends on a variety of factors such as changes in pH, ion presence, and temperature changes. In contrast to typical eye drops, post-transplanting gel chooses viscosity and bio-adhesive qualities that lengthen the gel's stay in the ocular area and also release the medicine in a long, continuous manner and lotions. In these articles, ophthalmic medication delivery systems are classified. Review of situ gel system, gel system mechanism, polymers employed, and evaluations.
A Spatio-Temporal Graph Convolutional Network Model for Internet of Medical Things (IoMT)

In order to provide intelligent and efficient healthcare services in the Internet of Medical Things (IoMT), human action recognition (HAR) can play a crucial role. As a result of their stringent requirements, such as high computational complexity and memory efficiency, classical HAR techniques are not applicable to modern and intelligent healthcare services, e.g., IoMT. To address these issues, we present in this paper a novel HAR technique for healthcare services in IoMT. This model, referred to as the spatio-temporal graph convolutional network (STGCN), primarily aims at skeleton-based human–machine interfaces. By independently extracting spatial and temporal features, STGCN significantly reduces information loss. Spatio-temporal information is extracted independently of the exact spatial and temporal point, ensuring the extraction of useful features for HAR. Using only joint data and fewer parameters, we demonstrate that our proposed STGCN achieved 92.2% accuracy on the skeleton dataset. Unlike multi-channel methods, which use a combination of joint and bone data and have a large number of parameters, multi-channel methods use both joint and bone data. As a result, STGCN offers a good balance between accuracy, memory consumption, and processing time, making it suitable for detecting medical conditions.
Mobile Applications for Cybercrime Prevention: A Comprehensive Systematic Review

—Now-a-days, cybercrime, cyberattacks, cyber security, phishing and malware are taking a more notorious role in people's daily lives, not only at the international level. The great technological leaps brought with them new modalities of cybercrime, the number of victims of cybercriminals has increased considerably. The objective of this study is to determine the state of the art about Mobile Applications and their impact on Computer Crime Prevention. Therefore, it has become necessary to know what preventive measures are being taken, such as techniques for detecting computer crimes, their modalities and their classification. To close this knowledge gap, a systematic literature review (SLR), a methodology proposed by Kitchenham & Charters, was proposed to obtain the detection techniques and classification of computer crimes based on the review of 68 papers published between the years 2017 and 2022. Likewise, different tables and graphs of the selected studies are provided, which offer additional information such as the most used keywords per paper, biometric networks, among others.
THE IMPACT OF ONLINE AFFILIATE MARKETING ON WEB SEARCH

From small independent blogs to large commercial product review portals, online affiliate marketing has become ubiquitous on the web. According to the BVDW [1], affiliate marketing was responsible for some 14 % of all German on-line sales in 2019. Often unnoticed by customers, inconspic-uous referral links to online retailers result in a commission being paid on conversion to the referring website, making it an easy stream of passive income. With the growing affiliate market, however, we also observe a growing conflict of interest in online content creators, particularly among those who make a living from testing and reviewing products, which manifests itself in the following development: away from providing high-quality, unbiased reviews and towards maximizing conversions. Besides obvious mass affiliate spam, we noticed a growing amount of search-engine-optimized low-quality content, some of which seem hard to detect even for the large search engines today. In our research, we therefore (1) conduct an exploratory study of the landscape of Amazon affiliate links on the web to get a grasp of the issue and (2) identify website genres that search engines need to pay particular attention to in terms of content quality. To the best of our knowledge, we are the first to formulate the quality dilemma from a search engine operator’s perspective.
COVID-19 Traumatic Disaster Appraisal and Stress Symptoms Among Health Care Workers

The COVID-19 pandemic was an occupational hazard for healthcare workers. Stress symptoms in 8299 healthcare workers suggests potential adverse effects on quality of care, professionalism, retention, acute and chronic mental health conditions. Some healthcare workers experienced the pandemic as a traumatic event. Through machine learning, risk factors predicted escalating stress. Objective To determine to what extent did health care workers experience the pandemic as a severe stress event. Methods This cross-sectional evaluation of 8299 health care workers, representing a 22% response rate, utilized machine learning to predict high levels of escalating stress based on demographics and known predictors for adverse psychological outcomes after trauma. Results A third of health care workers experienced the pandemic as a potentially traumatic stress event; a greater proportion of health care workers experienced high levels of escalating stress. Predictive factors included sense of control, ability to manage work-life demands, guilt or shame, age, and level of education. Gender was no longer predictive after controlling for other factors. Escalating stress was especially high among nonclinical academics and clinical private practitioners. Conclusion Findings suggest adverse effects on total worker health, care quality, professionalism, retention, and acute and chronic mental health.
Biochemical and Molecular Analysis of Field Resistance to Spirodiclofen in Panonychus citri (McGregor)

Simple Summary The citrus red mite, Panonychus citri, is one of the most destructive citrus pests worldwide. Spirodiclofen is an important chemical acaricide to control P. citri. In this study, the complete acetyl-CoA carboxylase (ACCase) gene between field spirodiclofen-resistant and laboratory-susceptible strains of P. citri were sequenced and compared based on the mode of action of spirodiclofen and the reported literature. Enzyme activity measurement and digital gene expression profile analysis were applied to identify candidate metabolic resistance genes. RT-qPCR and RNA interference (RNAi) further confirmed that the most prominent upregulated gene, CYP385C10, may be involved in the field of spirodiclofen-resistance of P. citri in China. These results provide the molecular foundation for understanding the spirodiclofen resistance in P. citri. Abstract Spirodiclofen is one of the most widely used acaricides in China. The citrus red mite, Panonychus citri (McGregor) (Acari: Tetranychidae), is one of the most destructive citrus pests worldwide and has developed a high resistance to spirodiclofen. However, the molecular mechanism of spirodiclofen resistance in P. citri is still unknown. In this study, we identified a field spirodiclofen-resistant strain (DL-SC) that showed 712-fold resistance to spirodiclofen by egg bioassay compared to the susceptible strain. Target-site resistance was not detected as non-synonymous mutations were not found by amplification and sequencing of the ACCase gene of resistant and susceptible strains; in addition, the mRNA expression levels of ACCase were similar in both resistant and susceptible strains. The activity of detoxifying enzymes P450s and CCEs in the resistant strain was significantly higher than in the susceptible strain. The transcriptome expression data showed 19 xenobiotic metabolisms genes that were upregulated. Stage-specific expression profiling revealed that the most prominent upregulated gene, CYP385C10, in transcriptome data was significantly higher in resistant strains in all stages. Furthermore, functional analysis by RNAi indicated that the mortality caused by spirodiclofen was significantly increased by silencing the P450 gene CYP385C10. The current results suggest that overexpression of the P450 gene, CYP385C10, may be involved in spirodiclofen resistance in P. citri.
The ideal philosophy student: A qualitative study of the transition into first year higher education

This paper investigates students’ transition into a bachelor’s programme of philosophy. The aim is to explore the meeting of the norms and expectations of student performances within the study programme and students’ identity negotiations when presented with these norms and expectations. Drawing on ideas of identities as performative and recognition practices as central to students’ abilities to navigate the norms, the study analyses what is entailed in the constructions of the ‘ideal’ philosophy students. The analysis builds on data produced through qualitative methods, including interviews, fieldwork and video-diaries. The analysis shows that the ‘ideal’ philosophy student is expected to demonstrate dedication and an ability to immerse themself in the content matter, while refraining from becoming absorbed in career prospects. Ideal philosophy identities performed confidence and were able to argue indisputably when engaging in discussions both in and outside teaching. Consequently, insecurity and incompetence were produced as side-effects, with a clear gendered pattern. Implications for higher education are discussed.
Does rotation generate a massive string

The properties of a stationary massive string endowed with intrinsic angular momentum are investigated. The spacetime is generated by an "improper" time translation combined with uniform rotation. The mass per unit length of the string is proportional to the angular velocity ω. The spacetime is Minkowskian geometrically but the topology is nontrivial thanks to the event horizon located on the surface r = 0 (similar with Rindler's spacetime) and the deficit angle generated by rotation. The Sagnac time delay is calculated. It proves to be nonvanishing even when ω = 0 due to the intrinsic spin of the string.
On Quantisations, Quasi-probabilities and the Weak Value

We propose a general framework of the quantum/quasi-classical transformations by introducing the concept of quasi-joint-spectral distribution (QJSD). Specifically, we show that the QJSDs uniquely yield various pairs of quantum/quasi-classical transformations, including the Wigner-Weyl transform. We also discuss the statistical behaviour of combinations of generally non-commutin quantum observables by introducing the concept of quantum correlations and conditional expectations defined analogously to the classical counterpart. Based on these, Aharonov's weak value is given a statistical interpretation as one realisation of the quantum conditional expectations furnished in our formalism.
Investigation of photocatalytic degradation of 2,4-dichlorophenol by heat treated Fe 3 O 4 /TiO 2 /Ag loaded polycaprolactone/polyethylenglycole electrospun nanofibers

The electrospinning technique is utilized to physically load Fe 3 O 4 /TiO 2 /Ag nanoparticles on polycaprolactone/polyethylene glycol (PCL/PEG) nanofibers scaffold for oxidative decomposition of 2, 4-dichlorophenol as a model organic pollutant. The scaffold is used in order to eliminate the need for separation of the catalyst after treatment, thus, making the catalyst system recyclable and reusable. Prepared nanofibers were thermally processed to change the morphology to crystalline form to make them transparent to visible light, which is a necessity for the function of photocatalysts. Different analysis techniques such as X-ray diffraction (XRD), transmission electron microscopy (TEM), UV/Vis spectrophotometry (UV – Vis), and field emission electron microscopy (FESEM) were implemented to identify and characterize the presented products. Kinetic performance of both the particulate system and nanofiber system was determined. The prepared products demonstrated good catalytic activity by 53%, decomposing the target pollutant in 180 minutes of visible light exposure. The new catalyst-loaded nanofiber system maintained the decomposition performance of the particulate system and improved its reusability. Although this scaffold nanofiber-based system demonstrates slightly lower pollutant removal performance in the first run compared to the ternary non-fixed particle system (53.12% vs 54.74%), it outperforms the non-fixed particulate system in the 2 nd and 3 rd runs. The decomposition rate improved from 52.37% to 52.81% in the 2 nd run and from 48.08 to 51.02% for the 3 rd run. This photocatalytic system can be used as a reusable efficient catalyst for oxidative decomposing of 2, 4-dichlorophenol.
Theory of defect production in nonlinear quench across a quantum critical point

We study defect production in a quantum system subjected to a nonlinear power-law quench which takes it either through a quantum critical or multicritical point or along a quantum critical line. We elaborate on our earlier work [D. Sen, K. Sengupta, and S. Mondal, Phys. Rev. Lett. 101, 016806 (2008)] and present a detailed analysis of the scaling of the defect density n with the quench rate tau and exponent alpha for each of the above-mentioned cases. We also compute the correlation functions for defects generated in nonlinear quenches through a quantum critical point and discuss the dependence of the amplitudes of such correlation functions on the exponent alpha. We discuss several experimental systems where these theoretical predictions can be tested.
Kinship Networks Enhanced by a Formal Financial Intervention: Costly State Verification and the Thai Village Fund

the CSV model between the households with kinship connections to the village borrowers vs. the households without such connections. We use the data on households’ consumption, production, investment, and capital from Townsend Thai monthly data from 1999 to 2011. We restrict the sample to the households with initial wealth in 1999 below the 25% quantile. Panel A is for the pre-village fund period from 1999 to 2001. Panel B is for the post-village fund period from 2002 to 2011. To calculate the standard errors of estimated parameters in the CSV model, we employ the bootstraps by randomly selecting the data for consumption, investment, production, and capitals repeatedly and estimate the κ, γ me , σ, θ, μ ω , and γ ω for each draw. We report the t-test of κ between the households with kinship connections to the village fund borrowers vs. the households without such connections in Panel A and B, respectively. We also report the difference-in- differences of κ between Panel A and B (post-village fund vs. pre-village fund), with the t-stats and P-value for this DID.
New Photometric Models of Four Near-Contact Binaries: EP Cassiopeiae, AK Canis Minoris, FG Geminorum, and DF Puppis

We present new photometric observations of EP Cas, AK CMi, and PG Gem, which were obtained during the period from 2008 October to 2011 March using the 60 cm telescope at the Xinglong station. Several light-minimum times were determined, and orbital periods were revised. By using the 2003-version Wilson-Devinney code, photometric solutions of EP Cas, AK CMi, PG Gem, and DP Pup were deduced from multicolor light curves. The results imply that the four systems are Algol-type near-contact binaries (NCBs), whose less-massive components are filling their Roche lobes. With mass and angular-momentum loss, the separation between both components will decrease, and the primary will finally fill its Roche lobe. Algol-type NCBs of this kind, such as EP Cas, AK CMi, PG Gem, and DF Pup, may evolve into the contact configuration as a progenitor of a W UMa-type binary.
Revisiting Non-Parametric Matching Cost Volumes for Robust and Generalizable Stereo Matching

Stereo matching is a classic challenging problem in computer vision, which has recently witnessed remarkable progress by Deep Neural Networks (DNNs). This paradigm shift leads to two interesting and entangled questions that have not been addressed well. First , it is unclear whether stereo matching DNNs that are trained from scratch really learn to perform matching well. This paper studies this problem from the lens of white-box adversarial attacks. It presents a method of learning stereo-constrained photometrically-consistent attacks, which by design are weaker adversarial attacks, and yet can cause catastrophic performance drop for those DNNs. This observation suggests that they may not actually learn to perform matching well in the sense that they should otherwise achieve potentially even better after stereo-constrained perturbations are introduced. Second , stereo matching DNNs are typically trained under the simulation-to-real (Sim2Real) pipeline due to the data hungriness of DNNs. Thus, alleviating the impacts of the Sim2Real photometric gap in stereo matching DNNs becomes a pressing need. Towards joint adversarially robust and domain generalizable stereo matching, this paper proposes to learn DNN-contextualized binary-pattern-driven non-parametric cost-volumes . It leverages the perspective of learning the cost aggregation via DNNs, and presents a simple yet expressive design that is fully end-to-end trainable, without resorting to speciﬁc aggregation inductive biases. In experiments, the proposed method is tested in the SceneFlow dataset, the KITTI2015 dataset, and the Middlebury dataset. It signiﬁcantly improves the adversarial robustness, while retaining accuracy performance comparable to state-of-the-art methods. It also shows a better Sim2Real generalizability. Our code and pretrained models are released at this Github Repo.
Accreting CO material onto ONe white dwarfs towards accretion-induced collapse

The final outcomes of accreting ONe white dwarfs (ONe WDs) have been studied for several decades, but there are still some issues that are not resolved. Recently, some studies suggested that the deflagration of oxygen would occur for accreting ONe WDs with Chandrasekhar masses. In this paper, we aim to investigate whether ONe WDs can experience accretion-induced collapse (AIC) or explosions when their masses approach the Chandrasekhar limit. Employing the stellar evolution code Modules for Experiments in Stellar Astrophysics (MESA), we simulate the long-term evolution of ONe WDs with accreting CO material. The ONe WDs undergo weak multicycle carbon flashes during the mass-accretion process, leading to mass increase of the WDs. We found that different initial WD masses and mass-accretion rates influence the evolution of central density and temperature. However, the central temperature cannot reach the explosive oxygen ignition temperature due to neutrino cooling. This work implies that the final outcome of accreting ONe WDs is electron-capture induced collapse rather than thermonuclear explosion.