Miracle-dz/UniFAR-FTUs huggingface dataset:
Comprehensive Search for GPCR Compounds which Can Enhance MafA and/or PDX-1 Expression Levels Using a Small Molecule Compound Library

It has been shown that chronic hyperglycemia gradually decreases insulin biosynthesis and secretion which is accompanied by reduced expression of very important insulin gene transcription factors MafA and PDX-1. Such phenomena are well known as β-cell glucose toxicity. It has been shown that the downregulation of MafA and/or PDX-1 expression considerably explains the molecular mechanism for glucose toxicity. However, it remained unknown which molecules can enhance MafA and/or PDX-1 expression levels. In this study, we comprehensively searched for G protein-coupled receptor (GPCR) compounds which can enhance MafA and/or PDX-1 expression levels using a small molecule compound library in pancreatic β-cell line MIN6 cells and islets isolated from nondiabetic C57BL/6 J mice and obese type 2 diabetic C57BL/KsJ-db/db mice. We found that fulvestrant and dexmedetomidine hydrochloride increased MafA, PDX-1, or insulin expression levels in MIN6 cells. We confirmed that fulvestrant and dexmedetomidine hydrochloride increased MafA, PDX-1, or insulin expression levels in islets from nondiabetic mice as well. Furthermore, these reagents more clearly enhanced MafA, PDX-1, or insulin expression levels in islets from obese type 2 diabetic db/db mice in which MafA and PDX-1 expression levels are reduced due to glucose toxicity. In conclusion, fulvestrant and dexmedetomidine hydrochloride increased MafA, PDX-1, or insulin expression levels in MIN6 cells and islets from nondiabetic mice and obese type 2 diabetic db/db mice. To the best of our knowledge, this is the first report showing some molecule which can enhance MafA and/or PDX-1 expression levels. Therefore, although further extensive study is necessary, we think that the information in this study could be, at least in part, useful at some point such as in the development of new antidiabetes medicine based on the molecular mechanism of β-cell glucose toxicity in the future.
A Unified Multimodal Interface for the RELAX High-Payload Collaborative Robot

This manuscript introduces a mobile cobot equipped with a custom-designed high payload arm called RELAX combined with a novel unified multimodal interface that facilitates Human–Robot Collaboration (HRC) tasks requiring high-level interaction forces on a real-world scale. The proposed multimodal framework is capable of combining physical interaction, Ultra Wide-Band (UWB) radio sensing, a Graphical User Interface (GUI), verbal control, and gesture interfaces, combining the benefits of all these different modalities and allowing humans to accurately and efficiently command the RELAX mobile cobot and collaborate with it. The effectiveness of the multimodal interface is evaluated in scenarios where the operator guides RELAX to reach designated locations in the environment while avoiding obstacles and performing high-payload transportation tasks, again in a collaborative fashion. The results demonstrate that a human co-worker can productively complete complex missions and command the RELAX mobile cobot using the proposed multimodal interaction framework.
Historical overview of the Deliblato sands afforestation

Deliblato Sands is one of the largest sandy areas in Europe. Given that developing of vegetation on the sand is a slow process, followed by human activities that devastate the plant cover (grazing, deforestation), the free-moving sand on Deliblato Sands exited until the 18th century. Unbound sand hindered the development of agriculture in the entire southern Banat region, so it was necessary to start a more intensive process of restraining sand masses. The afforestation of this area began in 1818 and is still ongoing. In the process of afforestation, nine periods can be recognized that differ in relation to afforestation/reforestation techniques, the choice of species or the organizational structure of the forestry units (and countries) of the area of Deliblato Sands belonged throughout history.The most significant results in the binding of free moving sand were achieved by the application of black locust (Robinia pseudoacacia L.) seedlings with juniper scrub (Juniperus communis L.) laid down on open sandy areas and sowing different species of grass between the rows of seedlings. This technique has been applied since the IV afforestation period (1878-1898). The largest areas were afforested in the V period (1898-1918), when parts of Deliblato Sands were formally protected for the first time in history as areas of importance for the preservation of biodiversity. The species most used in afforestation are black locust (Robinia pseudoacacia L.), Scots pine and black pine (Pinus sylvestris L., Pinus nigra J. F. Arnold), poplars (Populus sp.), and some shrubby (e.g. Juniperus virginiana L.) and herbaceous species (e. g. Ammophilla arenaria (L.) Link, Festuca vaginata Willd. , Leymus arenarius (L.) Hochst. , Carex arenaria L. ). Today, Robinia pseudoacacia L. is most common tree species on Deliblato Sands and it occupies almost a third of the entire area.
Causal Inference Analysis of the Influence of Family Factors on Student Achievement——Based on CEPS Data

The purpose of this paper is to explore the influence of family factors on student achievement by means of causal inference. In this paper, data of the China Education Tracking Survey is used to analyze the factors such as students' family status, parents' education level, family income and family relationship. To obtain the causal effect of family factors and student achievement, a structured causal model was established. Our Research shows that family factors have a positive impact on student achievement.
Nutrient Loading and Eutrophication in the Great Salt Lake

The Problem—Like many large cities that border lakes and rivers, greater metropolitan Salt Lake City discharges significant loads of nutrients and other wastes into the Great Salt Lake. The lake receives high concentrations of phosphorus and nitrogen wastes from sewage treatment plants that serve over 1 million people in the greater metropolitan area. To a lesser extent, nonpoint sources also contribute to the problem. These nutrients enter the shallow Farmington Bay, promoting extensive blooms of algae (eutrophication). The automobile causeway and Antelope Island not only help contain the heavy nutrient load, but they also keep the bay water fresher than the open Great Salt Lake, and this allows the proliferation of hazardous forms of algae like the Nodularia shown in the photo. Nutrient and algal levels in Farmington Bay are 20 times the critical level for a eutrophic classification and higher than in any other lake in the State. Problems linked to the eutrophication of Farmington Bay include:
The effect of internal migration on the socioeconomic composition of neighbourhoods in England

This thesis determines the extent to which internal migration affects the socioeconomic composition of neighbourhoods in England and how its impact compares with that of other components of area change. It is hypothesised that the selective character of internal migration contributes to increased concentration of poverty in the most deprived neighbourhoods. The focus of the analysis at this small spatial scale will interest policy makers who have sought to reverse the spiral of socioeconomic decline in selected neighbourhoods through area-based regeneration initiatives. It will also add to neighbourhood change theory that assumes internal migration is widening spatial inequalities, which has rarely been empirically tested.The analysis is conducted using an administrative dataset called the School Census. The School Census enables detailed geographical analysis that is not possible with existing datasets used to measure internal migration in the UK. The thesis demonstrates the potential of the School Census for migration research and its usefulness in shaping policy. Change in the socioeconomic composition of a neighbourhood can be measured using the proportion of pupils claiming Free School Meals (FSM), which is widely used as a measure of poverty in educational research. The change in the concentration of FSM pupils is uniquely analysed at varying spatial scales to determine an appropriate neighbourhood level at which to conduct further analysis. The effect of internal migration on neighbourhood socioeconomic change is analysed using a growth model for Lower Super Output Areas. It shows that internal migration contributes to increased concentration of FSM pupils in the most deprived neighbourhoods. However, the effect is small. The effect of pupils changing their FSM status but not moving (in-situ change) is more dominant and reduced the concentration of FSM pupils in the most deprived neighbourhoods during the period 2002-2007. These findings contribute to a small but growing literature that suggests the effect of internal migration is minor when compared with in-situ change.Factors related to internal migration at the neighbourhood level are modelled using linear and spatial regression. A number of characteristics are found to be similarly associated with net migration of FSM and non-FSM pupils. This suggests there is an element of choice exercised by all families with school children when they move. However, there are discriminating effects, including school quality, that are related to higher net migration of non-FSM pupils but not FSM pupils. Moreover, the effects of some neighbourhood characteristics on migration including worklessness are shown to vary across different parts of the country. These findings suggest policy makers should be sensitive to local contexts when planning public service provision.
Heritage Visitor Attractions: An Operations Management Perspective

An overview service operations management concept development interpretation and presentation visitor management the role of technology job design and work organization process and product interface quality productivity matching supply and demanc yield management risk and environment decision making strategy and policy. Case studies: Ray's Farm Thackray Medical Museum Santa Trains at SRPs Nuggett Hill Leeds Castle Coventry Museums.
Soybean Antigen Protein-Induced Intestinal Barrier Damage by Trigging Endoplasmic Reticulum Stress and Disordering Gut Microbiota in Weaned Piglets

Endoplasmic reticulum (ER) stress is a crucial factor in the pathogenesis of intestinal diseases. Soybean antigenic proteins (β-conglycinin and soy glycinin) induce hypersensitivity reactions and intestinal barrier damage. However, whether this damage is associated with ER stress, autophagy, and the gut microbiome is largely unclear. Therefore, in this study, we aimed to investigate the effect of dietary supplementation with soy glycinin (11S glycinin) and β-conglycinin (7S glycinin) on intestinal ER stress, autophagy, and flora in weaned piglets. Thirty healthy 21-day-old weaned “Duroc × Long White × Yorkshire” piglets were randomly divided into three groups and fed a basic, 7S-supplemented, or 11S-supplemented diet for one week. The results indicated that 7S/11S glycinin disrupted growth performance, damaged intestinal barrier integrity, and impaired goblet cell function in piglets (p < 0.05). Moreover, 7S/11S glycinin induced ER stress and blocked autophagic flux in the jejunum (p < 0.05) and increased the relative abundance of pathogenic flora (p < 0.01) and decreased that of beneficial flora (p < 0.05). In conclusion, 7S/11S glycinin induces intestinal ER stress, autophagic flux blockage, microbiota imbalance, and intestinal barrier damage in piglets.
Strigolactones GR-24 and Nijmegen Applications Result in Reduced Susceptibility of Tobacco and Grapevine Plantlets to Botrytis cinerea Infection

Priming agents are plant defence-inducing compounds which can prompt a state of protection but may also aid in plant growth and interactions with beneficial microbes. The synthetic strigolactones (±)-GR24 and Nijmegen-1 were evaluated as potential priming agents for induced resistance against Botrytis cinerea in tobacco and grapevine plants. The growth and stress response profiles of B. cinerea to strigolactones were also investigated. Soil drench treatment with strigolactones induced resistance in greenhouse-grown tobacco plants and restricted lesion development. The mode of action appeared to function by priming redox-associated compounds to produce an anti-oxidant protective response for limiting the infection. The results obtained in the in vitro assays mirrored that of the greenhouse-grown plants. Exposure of B. cinerea to the strigolactones resulted in increased hyphal branching, with (±)-GR24 stimulating a stronger effect than Nijmegen-1 by affecting colony diameter and radial growth. An oxidative stress response was observed, with B. cinerea exhibiting increased ROS and SOD levels when grown with strigolactones. This study identified the application of strigolactones as potential priming agents to induce disease resistance in both tobacco and grapevine plants. In addition, strigolactones may alter the ROS homeostasis of B. cinerea, resulting in both morphological and physiological changes, thereby reducing virulence.
Potential efficiency gains from the introduction of an emissions trading system for the buildings and road transport sectors in the European Union

In the European Union (EU), a second emissions trading system (EU ETS2) covering buildings, road transport and small energy and industrial installations is expected to be introduced from 2027. Until 2030, however, EU ETS2 will not be a separate pillar of EU climate policy, but will support Member States in meeting their national targets under the Effort Sharing Regulation (ESR). If there are net regional shifts in emission reductions within the EU ETS2, for example, if companies in one-member state buy in aggregated terms net allowances, this must be compensated for at the national level. We study the EU ETS2 for the year 2030 using the general equilibrium model DART. In our analysis, the introduction of an EU ETS2 generates about a quarter of the efficiency gains of a comprehensive emissions trading system, assuming that nation states use the flexibility mechanisms of the ESR and compensate for regional abatement leakage through interstate emissions trading. However, this is only true if there is no extensive price stabilization in the EU ETS2. Our analysis suggests an EU ETS2 allowance price of around EUR 300/tCO2. Stabilizing the EU ETS2 price at the envisaged intervention price of 45 EUR/tCO2 would require about 415 million additional allowances and thus imply additional emissions of the same amount in 2030 alone.
Isolation and Authentication of Local Rhizobia Nodulating Common Bean (<i>Phaseolus vulgaris</i> L.) in Different Agro-Ecological Zones of C&ocirc;te d’Ivoire

Legumes such as common bean (Phaseolus vulgaris L.) have been introduced into cropping systems for sustainable soil management. Consequently, the loss of fertility of the latter remains a major constraint to bean production because this legume is rarely fertilized, yet it is considered to be a poor nitrogen fixer in the absence of inoculation. To overcome this, this study was undertaken with the objective of seeking efficient local rhizobia in order to pro-pose a bean inoculum formulation. To do this, soil samples taken from twelve localities in the Centre, North and West areas of Côte d’Ivoire were used to trap bean nodulating rhizobia. The ROBA1 bean accession used was sown in pots containing the sampled soils. Seedlings were uprooted at the start of flowering and nodulation was assessed. The isolates obtained were purified and then characterized phenotypically. The infectivity and symbiotic efficacy of these isolates were determined in vitro by the authentication test in which the
Sample Expansion and Classification Model of Maize Leaf Diseases Based on the Self-Attention CycleGAN

In order to address the limited scale and insufficient diversity of research datasets for maize leaf diseases, this study proposes a maize disease image generation algorithm based on the cycle generative adversarial network (CycleGAN). With the disease image transfer method, healthy maize images can be transformed into diseased crop images. To improve the accuracy of the generated data, the category activation mapping attention mechanism is integrated into the original CycleGAN generator and discriminator, and a feature recombination loss function is constructed in the discriminator. In addition, the minimum absolute error is used to calculate the differences between the hidden layer feature representations, and backpropagation is employed to enhance the contour information of the generated images. To demonstrate the effectiveness of this method, the improved CycleGAN algorithm is used to transform healthy maize leaf images. Evaluation metrics, such as peak signal-to-noise ratio (PSNR), structural similarity (SSIM), Fréchet inception distance (FID), and grayscale histogram can prove that the obtained maize leaf disease images perform better in terms of background and detail preservation. Furthermore, using this method, the original CycleGAN method, and the Pix2Pix method, the dataset is expanded, and a recognition network is used to perform classification tasks on different datasets. The dataset generated by this method achieves the best performance in the classification tasks, with an average accuracy rate of over 91%. These experiments indicate the feasibility of this model in generating high-quality maize disease leaf images. It not only addresses the limitation of existing maize disease datasets but also improves the accuracy of maize disease recognition in small-sample maize leaf disease classification tasks.
Pengaruh Perceived Social Support terhadap Psychological Well-Being Mahasiswa yang sedang Menyusun Skripsi

Abstract. This study aims to determine the effect of perceived social support on psychological well-being in students who are preparing a thesis at Bandung Islamic University. The study used a quantitative approach with the causality method and used simple random sampling. The research subjects were male and female students who were preparing a thesis at the Islamic University of Bandung totaling 247 people, with ages from 21 to 25 years. Data analysis using simple linear regression analysis and descriptive statistical analysis. Data collection was carried out using the Multidimensional Scale of Perceived Social Support (MSPPS) measuring instrument from Zimet (1988) adapted by Laksmita et al., (2020) for perceived social support variables and using the Ryff Scale of Psychological Well-Being which was adapted by Rachmayani and Ramdhani (2014) for psychological well-being variables. The results of data analysis state that there is a positive linear relationship and a significant influence between perceived social support on psychological well-being with a contribution value of 30.7% and with a significant value of 0.00 < from alpha of 0.05. This means that the higher the perceived social support that is useful and positive for students, the more significant it will be in improving their psychological well-being. Abstrak. Penelitian ini bertujuan untuk mengetahui pengaruh perceived social support terhadap psychological well-being pada mahasiswa yang sedang menyusun skripsi di Universitas Islam Bandung. Penelitian menggunakan pendekatan kuantitatif dengan metode kausalitas dan menggunakan simple random sampling. Subjek penelitian adalah mahasiswa laki-laki dan perempuan yang sedang menyusun skripsi di Universitas Islam Bandung yang berjumlah 247 orang, dengan usia dari 21 sampai 25 tahun. Analisis data menggunakan analisis regresi linear sederhana dan analisis statistic deskriptif. Pengumpulan data dilakukan menggunakan alat ukur Multidimensional Scale of Perceived Social Support (MSPPS) dari Zimet (1988) yang diadaptasi oleh Laksmita et al., (2020) untuk variabel perceived social support dan menggunakan Ryff Scale of Psychological Well-Being yang telah diadaptasi oleh Rachmayani dan Ramdhani (2014) untuk variabel psychological well-being. Hasil analisis data menyatakan adanya hubungan linear yang positif dan pengaruh signifikan antara perceived social support terhadap psychological well-being dengan nilai kontribusi sebesar 30,7% dan dengan nilai signifikan.0,00 < dari alpha sebesar 0,05. Artinya, semakin tinggi dukungan sosial yang dirasakan yang berguna dan positif pada mahasiswa maka secara signifikan akan berpengaruh meningkatkan psychological well-being nya.
The Prevalence and Correlation of Suicidal Ideation Among Nurses in King Saud University Medical City

Objectives The aim of the study is to measure the prevalence of suicidal ideation among nurses at King Saud University Medical City, compare its prevalence between male and female nurses, and identify the potential risk factors. Methods We conducted a cross-sectional study. The questionnaire was distributed to nurses via email. It consisted of demographics, Depression, Anxiety and Stress Scale (DASS21), and Suicidal Ideation Scale (SIS). We used the Statistical Package for the Social Sciences (SPSS) statistical software for analysis. Results The total number of participants was 419. The estimated prevalence of suicidal ideation among nurses was 24.58%. The prevalence among female and male nurses was 24.67% and 23.68%, respectively. Moreover, we found that nurses who are non-Muslim, single, and living by themselves are highly correlated with suicidal ideation. Depression, stress, and anxiety are also significantly associated with suicidality, with depression being the most significantly related to suicidal ideation. Conclusion Nurses who experienced depression, anxiety, and stress had an increased likelihood of suicidal ideation. This study demonstrates the need to raise awareness of depression, anxiety, and stress in order to prevent suicidal ideation among nurses. Further research is needed to develop measures of successful monitoring and prevention.
Generation of a Virtual Cohort of Patients for in Silico Trials of Acute Ischemic Stroke Treatments

The development of in silico trials based on high-fidelity simulations of clinical procedures requires the availability of large cohorts of three-dimensional (3D) patient-specific anatomy models, which are often hard to collect due to limited availability and/or accessibility and imaging quality. Statistical shape modeling (SSM) allows one to identify the main modes of shape variation and to generate new samples based on the variability observed in a training dataset. In this work, a method for the automatic 3D reconstruction of vascular anatomies based on SSM is used for the generation of a virtual cohort of cerebrovascular models suitable for computational simulations, useful for in silico stroke trials. Starting from 88 cerebrovascular anatomies segmented from stroke patients’ images, an SSM algorithm was developed to generate a virtual population of 100 vascular anatomies, defined by centerlines and diameters. An acceptance criterion was defined based on geometric parameters, resulting in the acceptance of 83 generated anatomies. The 3D reconstruction method was validated by reconstructing a cerebrovascular phantom lumen and comparing the result with an STL geometry obtained from a computed tomography scan. In conclusion, the final 3D models of the generated anatomies show that the proposed methodology can produce a reliable cohort of cerebral arteries.