Miracle-dz/UniFAR-FTUs huggingface dataset:
Graph Based Approach for Galaxy Filament Extraction

We propose an original density estimator built from a cloud of points X ⊂ R d . To do this, we consider geometric graphs G ( X , r ) on the cloud. These graphs depend on a radius r . By varying the radius, we see the emergence of large components around certain critical radii, which is the phenomenon of continuum percolation . Percolation allows us to have both a local view of the data (through local constraints on the radius r ) and a global one (the emergence of macro-structures). With this tool, we address the problem of galaxy ﬁlament extraction. The density estimator gives us a relevant graph on galaxies. With an algorithm sharing the ideas of the Fr´echet mean, we extract a subgraph from this graph, the galaxy ﬁlaments.
Differentiable Architecture Search: a One-Shot Method?

Differentiable architecture search (DAS) is a widely researched tool for the design of novel architectures. The main benefit of DAS is the effectiveness achieved through the weight-sharing one-shot paradigm, which allows efficient architecture search. In this work, we investigate DAS in a systematic case study of inverse problems, which allows us to analyze these potential benefits in a controlled manner. We demonstrate that the success of DAS can be extended from image classification to signal reconstruction, in principle. However, our experiments also expose three fundamental difficulties in the evaluation of DAS-based methods in inverse problems: First, the results show a large variance in all test cases. Second, the final performance is strongly dependent on the hyperparameters of the optimizer. And third, the performance of the weight-sharing architecture used during training does not reflect the final performance of the found architecture well. While the results on image reconstruction confirm the potential of the DAS paradigm, they challenge the common understanding of DAS as a one-shot method.
accuracy of transient elastography (FibroScan) in detection of esophageal varices in patients with cirrhosis: A meta-analysis. World

: background:Bleeding esophageal varices (BEV) is a life-threatening complications of liver cirrhosis resulting from portal hypertension. Studies using transient elastography to measure liver stiffness (LS) and spleen stiffness (SS) have reported acceptable diagnostic performance in detecting clinically significant portal hypertension and predicting the presence and degree of Varices. Aim: The aim of our study was to investigate the role of spleen and liver stiffness in predicting the degree and bleeding risk of esophageal varices in cirrhotic patients. Subjects and methods: 50 patients with established liver cirrhosis were enrolled in this study. All patients were assessed by history taking, clinical examination, laboratory investigations, child Paugh score calculation, pelvi abdominal ultrasound, upper gastrointestinal endoscopy, transient elastography for measurement of LS and SS. Results: There was a statistical significant difference as regards platelet count, serum bilirubin, serum albumin, INR, child score, splenomegaly, LS and SS between variceal and non variceal group and among patients with different grades of varices (p < 0.05).
Effect of Off-pump Coronary Artery Bypass Grafting on the Effect of Off-pump Coronary Artery Bypass Grafting on the Intraoperative Hemodynamics Intraoperative Hemodynamics

ABSTRACT Background: The hemodynamic instability during off-pump coronary bypass grafting (CABG) may impair the complete coronary revascularization. We evaluated the effect of off-pump CABG on intraoperative hemodynamic parameters. Aim of work: The purpose of this study is to assess the patients’ hemodynamics during off-pump coronary artery bypass graft surgery. And the main challenge during the operation is to maintain hemodynamic stability during this procedure. Patient and Methods: We included 40 patients who underwent off-pump CABG from 2017 to 2019. The mean age was 55.75± 6.73 years, and 28 patients were males (70%). The mean ejection fraction was 60.08 ± 3.81%. Study endpoints were the intraoperative hemodynamic parameters and postoperative complications. Results: Heart rate was significantly higher during the grafting of the posterior descending artery (PDA)(79.3± 2.8beats/min) and right coronary artery (79.5 ± 1.8 beats/min) compared to all other grafts (p<0.001). The highest central venous pressure(12.6± 1.2 mmHg)and mean pulmonary artery pressure (33.2± 1.4 mmHg) and the lowest mean arterial and pressure (68.1± 3.3 mmHg) were recorded during PDA grafting (p<0.001, for all parameters). There was no significant difference in adrenaline dose infused during the anastomosis of all grafts (p= 0.2). Ejection fraction significantly decreased predischarge (52.18 ± 2.58 %) and at 6 months (52.83 ± 3.57%) compared to the preoperative value (p<0.001). Conclusion: Off-pump CABG was associated with significant hemodynamic instability, which was more evident during the posterior descending artery grafting. Proper anesthetic management and fluid infusion are required, especially during the anastomosis of the right and posterior coronary systems.
Sustainable Energy, Grids and Networks

Energy management within microgrids under the presence of large number of renewables such as photovoltaics is complicated due to uncertainties involved. Randomness in energy production and consumption make both the prediction and optimality of exchanges challenging. In this paper, we evaluate the impact of uncertainties on optimality of different robust energy exchange strategies. To address the problem, we present AIROBE, a data-driven system that uses machine-learning-based predictions of energy supply and demand as input to calculate robust energy exchange schedules using a multiband robust optimization approach to protect from deviations. AIROBE allows the decision maker to tradeoff robustness with stability of the system and energy costs. Our evaluation shows, how AIROBE can deal effectively with asymmetric deviations and how better prediction methods can reduce both the operational cost while at the same time may lead to increased operational stability of the system.
Electric Trucks – Fire Safety Aspects

This study was performed by RISE Research Institutes of Sweden on behalf of Volvo Trucks. RISE Research Institutes of Sweden was requested to conduct a study regarding the differences between fires in conventional internal combustion engine (ICE) trucks and electric trucks. A set of guiding questions (see section Aim ) were given by Volvo Trucks and in this report these questions have been answered. The questions have been answered by performing literature searches and through previous knowledge of RISE. However, for some questions, due to scarcity of data on electric truck fires, knowledge regarding electric passenger cars has been used. In addition, contact has been made with fire and rescue services around the world (Australia, UK, USA, Sweden and Finland) to collect their views on management of fires in electric vehicles (EVs).
UvA-DARE (

: Vocationally educated individuals often ﬁnd employment sooner after school than those with a general educational qualiﬁcation. A recent study has argued that the higher employment probability associated with a vocational qualiﬁcation reverses in later life. The main explanation is that although having (occupation-)speciﬁc skills is an advantage when entering the labor market, speciﬁc skills also make the vocationally educated less ﬂexible. This life cycle effect is hypothesized to be especially strong in countries where the vocational system provides highly occupation-speciﬁc skills. We test these two hypotheses on cross-national data from PIAAC 2012. Using logistic regressions with country ﬁxed effects, we ﬁnd that individuals with a vocational qualiﬁcation have a higher employment probability than those with a general qualiﬁcation at the start of their career, but this pattern reverses in later life. In contrast to earlier ﬁndings, we do not ﬁnd that this effect varies systematically across countries with different vocational educational systems.
The Study of Urban Photochemical Smog Pollution in China

Based on the studies on photochemical smog in Xigu and Yanshan petroleum industrial areas,Beijing city and Guangzhou City,the current pollution level of photochemical smog and its characteristics in China are discussed,its formation mechanism is explored,and its changing tendency in near future is predicted.The results show that photochemical smog pollution is serious in above areas and the effective way to control the photochemical smog in China is to decrease NO x emission.The ozone peak appears not only earlier,but also is higher year by year at Zhongguancun,Beijing,which phenomenon indicates that the atmospheric photochemical activity is enhanced.As the fast increasing of the vehicle population,the air pollution in some big cities is in a transition from coal burning caused problem to automobile exhaust related pollution or the pollution combined them.
Sync or Async: Charting the Course for Engagement in Adult Education

Adult education often offers both asynchronous and synchronous modes of online learning to provide flexibility for learners. However, there is a limited understanding of engagement in these modes within adult education. This study aims to explore how the behavioural, cognitive, emotional, and social dimensions of engagement are facilitated in asynchronous and synchronous modes. A mixed-methods approach was used, involving observations and interviews with a total of 33 participants, conducted between April and December 2021. The study examined both Asynchronous Distance Education (ADE) and Synchronous Distance Education (SDE) classes. The findings indicate a significant correlation between the mode of delivery and how engagement is facilitated. ADE designs exhibited a wider variety of engagement facilitation compared to SDE. Furthermore, specific engagement dimensions were found to be more prominently supported in either ADE or SDE classes. To address the one-sided focus on engagement in each mode, teachers should actively design learning activities that promote varied ways for learners to engage in the learning process. This development is crucial as one-sided engagement, particularly in assimilative learning, has been associated with lower academic performance.
GENUS RICHNESS IN CAMBRIAN-ORDOVICIAN BENTHIC MARINE COMMUNITIES IN NORTH AMERICA

Abstract The causes of global biological diversification and the nature of ecological change during taxonomic radiations are central questions in paleobiology. It has long been recognized, however, that apparent increases in global taxonomic richness need not be mirrored in local communities. Here, using field data and literature sources from Laurentia, it is shown that genus richness in well-preserved subtidal macrobenthic marine communities increased by as much as a factor of two from the Middle Cambrian to the Late Ordovician. Several potential sources of bias have been addressed in this study, including taphonomic effects, water depth, lithology, sample size, and differences in the relative numerical abundance of taxa (evenness). Excluding samples from environments that may have been oxygen stressed and omitting samples that closely follow Cambrian biomere extinction intervals result in much less complete temporal sampling and significantly influence apparent short-term patterns of biodiversity, but do not change fundamentally the overall richness and evenness trajectories. The apparent magnitude and timing of the increases in local richness and evenness, however, is sensitive to such factors. The overall richness trajectory is also sensitive to how evenness is treated quantitatively. If evenness is assumed to represent a biological positive correlate of richness, then rarefaction is most appropriate and suggests an Early Ordovician richness increase. If evenness is treated strictly as a bias in richness estimates, then most of the richness increase appears to have occurred by the late Cambrian (Marjuman), with only a modest increase after the Arenigian.
The North Atlantic circulation derived from inverse models

This thesis describes two inverse models solving for a quasi-stationary ocean circulation, and discusses the circulation in the North Atlantic as derived from them. They include finite-element inverse section model FEMSECT (Losch et al., 2004) and 3D inverse finite-element ocean model IFEOM. Both models are based on the adjoint technique and use finite-element discretization to accurately represent the sloping bottom topography. FEMSECT exploits the thermal wind relation, and seeks for a compromise in the least square sense between the hydrographic and mooring data. Its control parameters are the reference velocities and hydrographic fields. Its novel feature is the ability to take into account the bottom triangles. The inverse finite element ocean model respects the continuity locally and globally and also exploits the flexibility of 3D finite element grids. It is based on a steady-state version of the finite element ocean general circulation model FEOM (Danilov et al., 2004a). The IFEOM solves for density by minimizing the misfit between it and the density data under strong momentum and weak potential density balance constraint. An additional deep pressure gradient constraint (below 2000 m) is suggested and shown to be crucial for keeping the integral properties of the diagnosed ocean circulation close to those of the forward run of FEOM. The circulation in the North Atlantic is estimated by assimilating several data sets. The results are encouraging and indicate that IFEOM can be used to assimilate a climatological circulation from high quality hydrographic measurements.Keywords: data assimilation, adjoint method, North Atlantic circulation, finite elements
Research Ethics and Church Interpreting

This article applies recent discussions of ethical aspects of Interpreting Studies to research on church interpreting. Lessons from this case study are then applied to field research on interpreting more broadly, with an emphasis on the specific ethical and methodological issues that arise when examining client expectations of interpreters. It begins with an examination of the concepts of informed consent and reputational risk as explored in the work of Elisabet Tiselius (2021, 2019), as well as the concept of positionality in the work of Chris Mellinger (2020). These ethical concepts are then applied to a critical reading of the research that focuses on locating problems and challenges of church interpreting and evaluating the performance of church interpreters (hereafter called PCE). This research, which began with the work of Adewuni Salawu (2010), sees the goal of research as improving the quality of church interpreting by offering an evaluation of the practice, using criteria created by each researcher. This tends to lead to arguments that church interpreting should be professionalized via training existing interpreters or replacing them with professionals. It is argued that research on PCE is ethically questionable, in light of recent discussions of research ethics, due to the selection of data and the placement of the researcher as the sole arbiter of interpreting quality. These choices lead inexorably to reputational risk for research participants. The paper then reflects on how researchers could engage in the evaluation of church interpreting more helpfully, if important modifications are made to the PCE. This then allows the wider relevance of these concerns to field research in Interpreting Studies to be discussed with a special emphasis on research seeking to understand client expectations of interpreters. In all cases, it is argued that the views and interests of those experiencing and delivering the interpreting must be foregrounded, even at the expense of restricting the research that can take place. The results of refusing to do this will be the loss of access to research sites, broken trust with research participants, and ultimately, research that is theoretically and methodologically impoverished.
The Effect of Profitability and Leverage on Sustainability Reporting and It Is Impact on Earnings Informativeness

This study aims to examine the effect of profitability and leverage on sustainability reporting and it impacts on earning informativeness on the Indonesia Stock Exchange 2018-2022. This study takes the mining sector because this sector is the sectors that contribute to Non-Tax State Revenue. The sampling technique used in this study is the purposive sampling method. The data analysis technique of this study uses multiple regression analysis and simple regression analysis. The results of this study prove that profitability (ROA) and leverage (DER) have a negative and significant effect on sustainability reporting (SRDI). besides, sustainability reporting (SRDI) has a positive and significant effect on earning informativeness (ERC).
Democratic Operation and Organization of the School Leadership

This research study comes to highlight findings in relation to issues of democratic organization and operation of the school leadership. For the needs of the study, the quantitative methodology was followed and an electronic questionnaire (google form) was delivered through the Directorates of Primary Education of Greece to teachers’ emails. The sample, which was consisted of 358 individuals, was selected by following the simple random sampling technique. An electronic questionnaire with 14 close-ended questions was constructed, whereas there was also a session of demographic and vocational data including questions regarding gender, age, additional studies, years of service, and training in democratic operation and organization of school units. According to the findings, the participants do not state in a clear and unequivocal way whether they are satisfied or not with their participation in school decision-making, with the ability of students to influence school events or whether the Greek school can function in a democratic way. They somewhat agree that the school principal distributes responsibilities to the members of the school community, and treats equally all the staff members, as partners. Finally, statistically, gender, years of service, and training in issues of school democratic organization and functioning seem to affect some subscales.
Transformation from acute promyelocytic leukemia in pregnancy to acute myeloid leukemia with MLL-AF9 fusion gene: A case report and literature review

Rationale: Because there are few evidence-based guidelines and an extremely low incidence rate, managing and treating patients who have transitioned from acute promyelocytic leukemia (APL), which was diagnosed during pregnancy, to acute myeloid leukemia (AML), can be difficult. Patient concerns: In this case, a 34-year-old pregnant patient was diagnosed with APL in medium-risk group in June 2017. After the all-trans retinoic acid and arsenic trioxide-based full-course treatment, the patients achieved complete remission (CR) and were well-tolerated. After 5 years, the patient complained of fatigue for 3 months. Diagnosis: Bone marrow examination revealed hypercellularity with approximately 50% immunophenotypic abnormal myeloblasts with MLL-AF9 fusion gene. Based on the AML diagnosis criteria of the World Health Organization, the patient was eventually diagnosed with a rare transformation from APL to AML. Interventions: The patient was treated with two cycles of induction chemotherapy and an allogeneic hematopoietic stem cell transplantation (allo-HSCT). Outcomes: Until now, the patient is in continuous remission with no signs of APL and AML. Lessions: Despite the rarity of APL to AML transformation, it is crucial to track the disease’s progress and administer treatment on time. It remains uncertain whether the risk stratification and clinical outcomes of secondary AML with MLL-AF9 are equivalent to those of de novo AML with MLL-AF9. The management and treatment of these patients should be personalized and require further observation.
Discrimination of sugarcane varieties using Landsat 7 ETM+ spectral data

This study addresses the identification of sugarcane varieties using data from an orbital‐borne sensor in an attempt to reduce evaluation time and field‐checking efforts. It would help institutions that breed sugarcane varieties for royalties charges for the propagation of their genetic material. The approach of this work was to apply a methodology to discriminate sugarcane varieties through Landsat 7 Enhanced Thematic Mapper Plus (ETM+) data. The hypothesis stated is that varieties have different canopies due to their particular morpho‐physical characteristics, hence it might be possible to identify such differences through orbital spectral data. Thus, an image of a sugarcane‐producing area in western São Paulo State, Brazil was obtained and first cut fields sugarcane of four varieties were evaluated. The discrimination techniques tested were: analysis of individual bands, pixel dispersion plots and discriminating equations. In single‐band analysis it was found that the near‐infrared (NIR) band is the most appropriate. The observation of the pixel dispersion plots between red vs NIR and NIR vs GreenNDVI also helps in the discrimination of these varieties. We concluded that it is possible to identify sugarcane varieties through the discriminating equations with 93.6% of certainty.
Characteristics of climate variation indices in Iraq using a statistical factor analysis

For over three decades, Iraq has suffered from climate variability and desertification. Rainfall rates have decreased with abnormal high‐temperature degrees, recurrence of dust storms has been increasing and many agricultural areas have turned into barren land. In this article, to study these climatic variations and detect important climate indices in Iraq, ten indices (total rainfall, average temperature, maximum temperature, minimum temperature, number of days of dust rising, number of days of dust storm, relative humidity, atmospheric pressure at sea surface level, total evaporation and wind speed) were investigated at 24 meteorological stations in Iraq for 30 years. January in winter, July in summer and annual rates of climate indices were analysed through a factor analysis method. As a result, total rainfall, minimum, maximum and average temperature were found as the strongest indices of the two seasons in Iraq. However, in the annual rates, the total rainfall indicator ranked last in the second component of the factor analysis. The contour lines for the factors of rainfall and maximum temperature offered a clear guide to patterns of the characteristics in winter, summer and annual rates. The northern regions were characterized by high values of rainfall in winter in comparison to the central and southern parts of Iraq. However, high temperatures were found in Baghdad and the southern regions in summer, which showed more than 45 °C.
Basketball Motion Recognition Model Analysis Based on Perspective Invariant Geometric Features in Skeleton Data Extraction

—The study proposes a recognition method based on skeleton data to address the basketball action recognition, especially those posed by viewpoint changes in videos. The key of this method is to extract geometric features of viewpoint invariance and combine them with spatio-temporal feature fusion techniques. In addition, the study constructs a dynamic topological map of the human skeleton based on long and short-term neural networks to improve the model performance. The experimental results showed that the research method had an average accuracy of 97.85% for Top-5 metrics on the Kinetics dataset and 97.82% for Top-5 metrics on the NTU RGB+D dataset. It is significantly better than the other three state-of-the-art methods. According to the experimental results, it achieves efficient and stable basketball action recognition, which is significantly superior to existing methods. This research not only provides a more efficient method for basketball motion recognition, but also provides valuable references for other sports action recognition fields.