Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of Time to Reperfusion on Recanalization Rates and Outcome After Mechanical Thrombectomy: A Single Center Experience

Background: Timely and effective recanalization to salvage the penumbra is the main determinant of outcome in acute ischemic strokes. Randomized controlled trials on late window mechanical thrombectomy (MT) have proved its safety and efficacy upto 24 h after stroke onset. We looked at the impact of time to reperfusion on vessel recanalization rates and short-term outcome in patients undergoing MT for large vessel occlusion. Methods: The clinical, imaging, and outcome of all patients undergoing MT upto 24 h from last seen normal was extracted from a prospectively maintained ischemic stroke database from January 2012 till September 2019. Results: There were 145 patients with a mean (SD) age of 58.2 (±14) years. Of them, 28 had wake up/unknown time of onset stroke and 9 presented beyond >360 min. There were 23 vertebrobasilar strokes. Median National Institute of Health Stroke scale score (NIHSS) at admission was 16.4 (Inter quartile range (IQR) 12–21). CT-Alberta Stroke program early CT score (CT-ASPECTS) was excellent (8–10) in 39 (31.6%) and fair (5–7) in 77 (63.6%) patients in anterior circulation strokes. About 25% underwent bridging therapy. Recanalization rates did not differ between those presenting early (<6 h) versus wake up strokes and late presenting patients (81.79% vs 71.9%). Symptomatic Intracerebral hemorrhage (ICH) occurred in 5%. At 3 months, excellent outcome (modified rankin scale <2) was observed in 28.9%. While Admission NIHSS remained strong predictor of poor outcome at 3 months, delay in presentation did not impact MT outcome (37.5% vs 45.79% and P = 0.460). Conclusions: The recanalization rates were similar in patients irrespective of the time to reperfusion from stroke onset. The functional outcome was not inferior in late presenters selected by advanced imaging.
Can we trust the natives? Exploring the relationship between national identity and trust among immigrants and their descendants in Denmark

Politicians often seek to strengthen national identity by encouraging immigrants to adopt the ‘ national values ’ , thus supposedly boosting trust. However, empirical studies of the social effects of national identity have focused almost exclusively on the native majority. In this article, we instead ask how national identity among immigrant minorities affects their trust, including towards natives. We draw on unique survey data from a representative sample of the five largest non-Western immigrant groups and their descendants in Denmark. This reveals that national belonging, national pride and citizenship preferences are positively linked to social as well as institutional trust. These relationships hold even when controlling for the perception of sharing one's values with others and the extent to which one holds ‘ typically Danish ’ values widely shared among the majority population. This suggests that the emotional component of national identity, but not its content in the form of values, indeed forms an important basis for social cohesion.
Changes in Bacterial Composition During Maturing Stages of Salt Fermentation of Pangas (Pangasianodon hypophthalmus)

ABSTRACT Pangas fish (Pangasianodon hypophthalmus) was fermented naturally with salt at room temperature for 180 days and representative culturable bacteria from the entire maturation period at 15 days interval were isolated by plating in media containing 5% and 15% salt and identified using 16SrRNA gene sequence analysis. Total 80 no of bacterial isolates belonging to genera such as Bacillus, Staphylococcus, Oceanobacillus, Halomonas, Chromohalobacter, Virgibacillus etc. were identified from late maturation phase. Staphylococcus, Bacillus and Halomonas spp. were dominant from early maturation phase whereas Chromohalobacter spp. and Virgibacillus spp. appeared from 90th day onward and persisted till the final maturation. Bacillus licheniformis and Chromohalobacter canadensis were dominant bacterial species on 5% and 15% salt containing plates respectively from 90th day until final maturation. The dominant isolates showed good proteolytic and moderate lipolytic activities along with good growth during salt fermentation indicating that they are potential starter cultures for acceleration of the fermentation process.
On the influence of the inlet temperature in multiple-skin facade modeling

This paper draws the attention to the importance of a correct modelling of the inlet temperature of naturally and mechanically ventilated multiple-skin facades. A sensitivity study illustrates the significance of the inlet temperature as a boundary condition for numerical multiple-skin facade models. Measurements demonstrate that the assumption of an inlet temperature equal to the interior or exterior air temperature is usually not valid. Finally, whole building energy simulations indicate the influence of the inlet temperature modelling on the energy performance of naturally and mechanically ventilated MSFs.
Influences of extractives and thermal modification on the UV resistance of Albizia lebbeck wood

ABSTRACT Thermal modification is a chemical-free process for improving hydrophobicity, dimensional stability, and biological durability of wood. There are inconsistent reports on the UV resistance of thermally modified wood with the majority of studies indicating its vulnerability to UV degradation. This may be due to the natural variability of chemical constituents, particularly extractives, in different wood species. In this study, the UV resistance of sapwood and heartwood of Albizia lebbeck was evaluated to elucidate the role of extractives on photo-stabilisation. A comparison between the extractive rich untreated and heat-treated sapwood and heartwood was carried out. UV resistance was evaluated by exposing modified wood to UV light in an accelerated weathering tester. Untreated sapwood attained dark colour (photoyellowing) upon UV light exposure, whereas thermally modified sapwood showed contrasting behaviour (lightening). Untreated heartwood showed more resistance to photodegradation. Thermally modified heartwood retained its colour for a considerable extent and exhibited good UV resistance than the untreated samples. Results indicate that extractives present in the heartwood of A. lebbeck act as UV absorber to impart substantial UV stability to wood. Furthermore, the enhanced UV resistance of heat-treated heartwood could be due to the accumulation of photostable compounds evolved during the thermal modification of wood.
Simulating the Dynamic Intra-Tumor Heterogeneity and Therapeutic Responses

Simple Summary Various aspects of intra-tumor heterogeneity are key factors for improving clinical practice, but studies on them remain incomplete. Based on the clonal evolution theory, this study proposes a model to simulate the temporal variability of intra-tumor heterogeneity of cancer cell subpopulations. Multiple types of therapies are also incorporated in the model for the simulation of treatment responses at different time points. The simulation results in this study indicate the importance of the timing of therapy and the superiority of neoadjuvant therapy before surgery. The model is incorporated in a webserver for the convenience of understanding the roles of heterogeneity in cancer treatment response. Abstract A tumor is a complex tissue comprised of heterogeneous cell subpopulations which exhibit substantial diversity at morphological, genetic and epigenetic levels. Under the selective pressure of cancer therapies, a minor treatment-resistant subpopulation could survive and repopulate. Therefore, the intra-tumor heterogeneity is recognized as a major obstacle to effective treatment. In this paper, we propose a stochastic clonal expansion model to simulate the dynamic evolution of tumor subpopulations and the therapeutic effect at different times during tumor progression. The model is incorporated in the CES webserver, for the convenience of simulation according to initial user input. Based on this model, we investigate the influence of various factors on tumor progression and treatment consequences and present conclusions drawn from observations, highlighting the importance of treatment timing. The model provides an intuitive illustration to deepen the understanding of temporal intra-tumor heterogeneity dynamics and treatment responses, thus helping the improvement of personalized diagnostic and therapeutic strategies.
Difference in Academic Performance of Medical Students in Biochemistry: An Analysis Based on Gender and Place of Residence

Aims: Due to the complexity of teaching new subjects to medical freshmen, especially in basic medical science, and the variability of the academic performance, we want to explore the difference of our student’s Biochemistry examination score based on their gender and place of residence. Methods: This is a simple retrospective cross sectional study by analyzing the examination result and compared it based on our student’s gender (male or female) and place of residence (living in their own house or in boarding house). Result and Discussion: During data collection, there are 913 active students from all class of 2016-2021 but only 569 freshmen from the class of 2018-2021 which gender and place of residence data are available, there are 155 male (27.24%) and 414 female (72.75%). Female students achieved better mean score compared to their male counterparts. Students which live in their own house also achieved better mean score compared to those who lived in boarding house. Conclusion: there are differences in the achievement of examination scores based on student’s gender and place of residence.
A Weakly Supervised Deep Learning Method for Guiding Ovarian Cancer Treatment and Identifying an Effective Biomarker

Simple Summary Molecular target therapy, i.e., antiangiogenesis with bevacizumab, was found to be effective in some patients of epithelial ovarian cancer. Considering the cost, potential adverse effects, including hypertension, proteinuria, bleeding, thromboembolic events, poor wound healing and gastrointestinal perforation, and no confirmed and accessible biomarkers for routine clinical use to direct patient selection for bevacizumab treatment, the identification of new predictive methods remains an urgent unmet medical need. This study identifies an effective biomarker and presents an automatic weakly supervised deep learning framework for patient selection and guiding ovarian cancer treatment. Abstract Ovarian cancer is a common malignant gynecological disease. Molecular target therapy, i.e., antiangiogenesis with bevacizumab, was found to be effective in some patients of epithelial ovarian cancer (EOC). Although careful patient selection is essential, there are currently no biomarkers available for routine therapeutic usage. To the authors’ best knowledge, this is the first automated precision oncology framework to effectively identify and select EOC and peritoneal serous papillary carcinoma (PSPC) patients with positive therapeutic effect. From March 2013 to January 2021, we have a database, containing four kinds of immunohistochemical tissue samples, including AIM2, c3, C5 and NLRP3, from patients diagnosed with EOC and PSPC and treated with bevacizumab in a hospital-based retrospective study. We developed a hybrid deep learning framework and weakly supervised deep learning models for each potential biomarker, and the experimental results show that the proposed model in combination with AIM2 achieves high accuracy 0.92, recall 0.97, F-measure 0.93 and AUC 0.97 for the first experiment (66% training and 34%testing) and high accuracy 0.86 ± 0.07, precision 0.9 ± 0.07, recall 0.85 ± 0.06, F-measure 0.87 ± 0.06 and AUC 0.91 ± 0.05 for the second experiment using five-fold cross validation, respectively. Both Kaplan-Meier PFS analysis and Cox proportional hazards model analysis further confirmed that the proposed AIM2-DL model is able to distinguish patients gaining positive therapeutic effects with low cancer recurrence from patients with disease progression after treatment (p < 0.005).
PENGARUH CURRENT RATIO DAN DEBT TO ASSETS RATIO TERHADAP RETURN ON ASSETS PADA PERUSAHAAN HOTEL, RESTORAN DAN PARIWISATA YANG TERDAFTAR DI BEI

This study aims to determine the effect of Current Ratio (CR) and Debt to Assets Ratio (DAR) partially and simultaneously on Return On Assets (ROA) in hotel, restaurant, and tourism companies listed on the Indonesia Stock Exchange (BEI). The sample used in this study amounted to 8 out of 10 companies in the hotel, restaurant, and tourism sub-sector listed on the IDX in the period 2014 - 2017. The sample selection used a purposive sampling technique, in which the researcher set specific provisions tailored to the research objectives. The data analysis technique used is multiple linear regression, classical assumption test, t-test, F test, and coefficient of determination. Based on the simultaneous test, it was found that the variables Current Ratio and Debt to Assets Ratio had a significant effect on Return On Assets in the hotel, restaurant, and tourism sub-sector companies listed on the IDX.
Research on heat transfer in geothermal wellbore and surroundings

This thesis aims to improve the wellhead temperature of the heat flow for the production process of open system deep geothermal wells. It discusses the heat transfer in: the tubing, the annulus, the casing, the cement, and the formation. As a thermophysical parameter, Initial Formation Temperature (IFT) plays an essential role in deep well engineering. However, it is not easy to predict the IFT accurately before drilling. This thesis uses an inverse technique to analyze factors affecting the underground temperature field, and assumes an artificial surface to eliminate the disturbance of the human errors and equipment errors on the surface temperature and thermal conductivity. Considering different distributions of the formation thermal conductivity and the rock radiogenic heat production, an optimized model was established. In order to describe the heat transfer in an aquifer, a notion of overall thermal conductivity was proposed, which includes the thermal conduction of the soil/rock and the advection of groundwater. This thesis adopts the Fractal theory to establish a geometric model of the aquifer, which helps with the analysis of the heat transfer mechanism in an irregular configuration, and derives a correlation of the overall thermal conductivity from the thermal resistance structure. The overall thermal conductivity of typical aquifers indicates that the advection in the aquifer cannot be ignored even if the Reynolds number (Re) of the groundwater is less than 1. However, when the velocity and temperature of groundwater are determinate, the advection does not depend on the porosity of aquifer, and therefore can be regarded as a constant. This thesis discusses the possible means of heat transfer in the annulus, and develops a piecewise equation for estimating the convective heat transfer coefficient with a wider valid condition of 0 < Ra < 7.17 × 10. By converting the radiation and natural convection into equivalent thermal conduction, their sum was defined as a total thermal conductivity to describe the heat transfer in the annulus. The results indicate that the annulus filled with gas functions as a good thermal barrier for the heat flow in the wellbore. Additionally, the radiation can be negligible when the tubing and casing are made of low emissivity materials. However, the contribution of radiation will increase in the total thermal conductivity when the annular size increases and the materials have high emissivity. Improvements in predicting the IFT and the heat transfer in an aquifer and in an annulus between the tubing and the casing, permit a mathematical model of the whole heat transfer system to be established in two parts: the heat transfer in the surroundings and the heat transfer in the wellbore. Different analytical solutions of the heat flow temperature are derived for each homogeneous layer. The types of heat flow include single-phase water flow, single-phase steam flow and two-phase flow.
Discovery of Extended Structure Around Open Cluster COIN-Gaia 13 Based on Gaia EDR3

COIN-Gaia 13 is a newly discovered open cluster revealed by Gaia DR2 data. It is a nearby open cluster with a distance of about 513 pc. Combined with the five-dimensional astrometric data of Gaia EDR3 with higher accuracy, we use the membership assignment algorithm (pyUPMASK) to determine the membership of COIN-Gaia 13 in a large extended spatial region. The cluster has 478 identified candidate members. After obtaining reliable cluster members, we further study its basic properties and spatial distribution. Our results show that there is an obvious extended structure of the cluster in the X–Y plane. This elongated structure is distributed along the spiral arm, and the whole length is about 270 pc. The cluster age is 250 Myr, the total mass is about 439 M ⊙ and the tidal radius of the cluster is about 11 pc. Since more than half of member stars (352 stars) are located outside twice the tidal radius, it is suspected that this cluster is undergoing the dynamic dissolution process. Furthermore, the spatial distribution and kinematic analysis indicate that the extended structure in COIN-Gaia 13 is more likely to be caused by differential rotation of the Galaxy.
The Age of Satisficing? Juggling Work, Education, and Competing Priorities during the COVID-19 Pandemic

The coronavirus disease 2019 pandemic continues to shape individuals’ decisions about employment and postsecondary education. The authors leverage data from a longitudinal qualitative study of educational trajectories to examine how individuals responded to the shifting landscape of work and education. In the final wave of interviews with 56 individuals who started their postsecondary education at a community college 6 years ago, the authors found that most respondents described engaging in satisficing behaviors, making trade-offs to maintain their prepandemic trajectories where possible. More than a quarter of individuals, primarily those with access to fewer resources, described trajectories fraught with insecurity; they struggled to juggle competing obligations, especially in the face of an unpredictable labor market. A small portion of participants described making optimizing decisions, which were sometimes risky, to prioritize their aspirations. These descriptive patterns may partially explain mechanisms shaping recent shifts in employment and postsecondary education, including lower labor-market engagement and declines in college enrollment.
Analysing risk and resilience of rural school youth by means of the first sand tray

Analysing risk and resilience of rural school youth by means of the first sand tray Supervisor: Prof. Carien Lubbe-De Beer Co-supervisor: Prof. Liesel Ebersöhn Degree: Magister Educationis (Educational Psychology) The purpose of the study was to explore and describe (Gray, 2009) how an analysis of risk and resilience in the first sand tray of youth in a rural school may inform knowledge on psychological assessment in South Africa as well as assessment for resilience in high adversity settings. The study forms part of a continuing investigation of the Centre for the Study of Resilience with regards to the nature of school-based Educational Psychology services in remote South Africa. An instrumental case study design was used to identify risk and resilience in the first sand trays of 25 youth at a rural school in Mpumalanga. The youth were between the ages of 13 and 19. Data was gathered in the form of visual data (photographs), client narratives and Academic Service Learning student reflections. The results indicated that the first sand trays of youth at a rural school in South Africa can be effectively used in assessing resilience. Indicators of both risk and protective resources emerged during data analysis. Within the first sand tray violence and a need for protection, unfulfilled basicand nurturance needs, and gender inequality and conflict emerged as indicators of risk. Spirituality, fulfilled needs, and a sense of belonging emerged as protective resources. These findings indicate that within a highly diverse, and, adverse setting, sand trays can be used to assess resilience.
Facilitating International Research on Career Indecision: Developing Career Indecision Profile-Short-5 in China and the U.S.

While five-factor model of career indecision proposes five cross-culturally important indecision factors, a psychologically sound brief measure of career indecision that corresponds to the five-factor model is lacking. Thus, using a Chinese college sample (n = 588) and an U.S. college sample (n = 762), this study developed and validated the Career Indecision Profile-Short-5 factor (CIP-Short-5) in China and the U.S. Applying item response theory, the CIP-Short-5 consists of five items each for the five overarching domains of career indecision. It showed desirable option occurrence patterns and minimal gender-oriented differential item functioning in both China and the U.S. Additionally, the scale supported the five-factor model over an alternative, four-factor model of career indecision in both China and the U.S. The convergent and discriminant patterns of the CIP-Short-5 with criteria were largely supported in China and the U.S. Last, the results supported the configural and metric invariance of the CIP-Short-5 but did not fully support the scalar invariance of the CIP-Short-5 across China and the U.S. Together, the results offer psychometric evidence for the CIP-Short-5, which has important implications for research and practice on career indecision in the international context in general and in China in specific.
Social Media and COVID-19—Perceptions and Public Deceptions of Ivermectin, Colchicine and Hydroxychloroquine: Lessons for Future Pandemics

The capacity for social media to influence the utilization of re-purposed medicines to manage COVID-19, despite limited availability of safety and efficacy data, is a cause for concern within health care systems. This study sought to ascertain links between social media reports and utilization for three re-purposed medicines: hydroxychloroquine (HCQ), ivermectin and colchicine. A combined retrospective analysis of social media posts for these three re-purposed medicines was undertaken, along with utilization and clinical trials data, in South Africa, between January 2020 and June 2021. In total, 77,257 posts were collected across key social media platforms, of which 6884 were relevant. Ivermectin had the highest number of posts (55%) followed by HCQ (44%). The spike in ivermectin use was closely correlated to social media posts. Similarly, regarding chloroquine (as HCQ is not available in South Africa), social media interest was enhanced by local politicians. Sentiment analysis revealed that posts regarding the effectiveness of these repurposed medicines were positive. This was different for colchicine, which contributed only a small number of mentions (1%). Of concern is that the majority of reporters in social media (85%) were unidentifiable. This study provides evidence of social media as a driver of re-purposed medicines. Healthcare professionals have a key role in providing evidence-based advice especially with unidentifiable posts.