Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessing Creativity-Enhancing Learning Environments: Psychometric Model Validation for Undergraduates

This study investigates a proposed measurement model, grounded in Amabile's (1996) componential model of creativity, to explore the causal relationships among perceived learning environments, proactive personality motivation, and creativity index. The study's primary objectives are threefold: i) To evaluate the goodness-of-fit indices of the Confirmatory Factor Analysis (CFA) measurement model, ii) to examine parameter estimates within the CFA measurement model and iii) to establish discriminant validity for the measured constructs. The measurement model's fitness is assessed using data collected from a survey of 374 undergraduate students and analyzed through AMOS. Goodness-of-fit indices, including the Comparative Fit Index (CFI), Root Mean Square Error of Approximation (RMSEA), and Normed Chi-Square (cmin/df), are employed to validate the model's fit with the data. Additionally, the study investigates convergent and discriminant validity of the instruments by scrutinizing disattenuated correlations among the constructs. Notably, this research expands Amabile's Componential Theory by incorporating proactive personality into the model. The study's findings hold potential value for enhancing program syllabuses, co-curricular activities, and soft-skill enhancement programs within higher learning institutions.
High speed video of initial sprite development

High speed video of sprites show that they are typically initiated at an altitude of about 75 km and usually develop simultaneously upwards and downwards from the point of origin with an initial columniform shape. The initial development of sprites appears to be dominated by corona streamers with velocities in excess of 107 m/s. Many of the observed characteristics are consistent with a conventional breakdown mechanism for both sprite initiation and initial sprite development.
Altered Transcript Levels of MMP13 and VIT Genes in the Muscle and Connective Tissue of Pigs with Umbilical Hernia

Umbilical hernia (UH) and inguinal hernia (IH) are among the most common defects in pigs, affecting their welfare and resulting in economic losses. In this study, we aimed to verify the association of previously reported differences in transcript levels of the ACAN, COL6A5, MMP13, and VIT genes with the occurrence of UH and IH. We examined mRNA levels in muscle and connective tissue from 68 animals—34 affected by UH and 34 controls. In a second cohort, we examined inguinal channel samples from 46 pigs (in four groups). We determined DNA methylation levels in muscle tissue for the UH and control animals. The transcript level of MMP13 changed in the UH cases, being upregulated and downregulated in muscle and connective tissue, respectively, and the VIT gene also showed an increased muscular mRNA level. The transcript of the ACAN gene significantly decreased in old pigs with IH. We further observed an increased DNA methylation level for one CpG site within the MMP13 gene in UH individuals. We conclude that these alterations in gene mRNA levels in the UH animals depend on the tissue and can sometimes be a consequence of, not a cause of, the affected phenotype.
Non-Psychoactive Phytocannabinoids Inhibit Inflammation-Related Changes of Human Coronary Artery Smooth Muscle and Endothelial Cells

Atherosclerosis is associated with vascular smooth muscle cell proliferation, chronic vascular inflammation, and leukocyte adhesion. In view of the cardioprotective effects of cannabinoids described in recent years, the present study investigated the impact of the non-psychoactive phytocannabinoids cannabidiol (CBD) and tetrahydrocannabivarin (THCV) on proliferation and migration of human coronary artery smooth muscle cells (HCASMC) and on inflammatory markers in human coronary artery endothelial cells (HCAEC). In HCASMC, CBD and THCV at nontoxic concentrations exhibited inhibitory effects on platelet-derived growth factor-triggered proliferation (CBD) and migration (CBD, THCV). When interleukin (IL)-1β- and lipopolysaccharide (LPS)-stimulated HCAEC were examined, both cannabinoids showed a concentration-dependent decrease in the expression of vascular cell adhesion molecule-1 (VCAM-1), which was mediated independently of classical cannabinoid receptors and was not accompanied by a comparable inhibition of intercellular adhesion molecule-1. Further inhibitor experiments demonstrated that reactive oxygen species, p38 mitogen-activated protein kinase activation, histone deacetylase, and nuclear factor κB (NF-κB) underlie IL-1β- and LPS-induced expression of VCAM-1. In this context, CBD and THCV were shown to inhibit phosphorylation of NF-κB regulators in LPS- but not IL-1β-stimulated HCAEC. Stimulation of HCAEC with IL-1β and LPS was associated with increased adhesion of monocytes, which, however, could not be significantly abolished by CBD and THCV. In summary, the results highlight the potential of the non-psychoactive cannabinoids CBD and THCV to regulate inflammation-related changes in HCASMC and HCAEC. Considering their effect on both cell types studied, further preclinical studies could address the use of CBD and THCV in drug-eluting stents for coronary interventions.
Removable of Noise on MRI (Digital) Images by Using MDUTMF

photographic limitations, and random fluc - tuations in radiation signal. Abstract: Medical imaging and bio-medical have special place for the image processing field in modern science. With the advent of developing imaging modalities like magnetic resonance imaging, computerized tomography (CT), mammography, and ultra sonography (USG) it is now possible to look inside the internal structure of sick body. It provides a convenient way to diagnose, monitor and track the abnormality in the ailing body. In this paper results and effects of various filter technique ap - plied to tumor-bearing MRI images of brain have been presented. Performance of various image enhancement/noise removal techniques is evaluated using Peak Signal to Noise Ratio (PSNR) for MRI images as aimed at identifying tumor is given.
Sus1, a functional component of the SAGA transcription complex and the mRNA export machinery

Gene expression occurs via a network of coupled interactions involving components of the transcription, RNA processing, and mRNA export machineries 1-3 . Here we report the identification of a new protein, Sus1, that functions not only in transcription but also in mRNA export. Sus1 interacts physically and genetically with key components of the mRNA export machinery and sus1 mutants inhibit bulk poly(A) + RNA export. Remarkably, Sus1 also associates stoichiometrically with the histone acetylase complex SAGA, which is required for the transcription of a subset of Pol II genes 4-12 . DNA macroarray analysis revealed that Sus1 is required for transcription regulation of ~ 9% of yeast genes. Moreover, chomatin immunoprecipitation showed that Sus1 is associated with the promoter of a SAGA-dependent gene during transcription activation. The functional interaction of Sus1 with both the SAGA complex and mRNA export components suggests the mRNA export machinery is specifically recruited to active genes at the earliest steps of gene expression.
The Karnataka Late Cretaceous Dykes as products of the Marion Hot Spot at the Madagascar ‐ India Breakup Event: Evidence from 40Ar‐39Ar geochronology and geochemistry

Two late Cretaceous mafic dykes with an ENE strike that is orthogonal to the west coast of India and located nearly 200 km inland around Huliyardurga, Karnataka state, yield 40Ar‐39Ar plateau ages of 90.0±1.0 and 87.5±0.9 Ma. These Fe‐Ti‐enriched tholeiites are essentially co‐eval with at least four other igneous suites widely scattered in southern India, namely; the south and north Kerala dykes, the Agali‐Anaikatti dykes of central Kerala‐Tamil Nadu and lavas of St Mary islands off the west coast of India. The Karnataka Cretaceous dykes are also co‐eval and compositionally very similar to the Fe‐Ti‐enriched tholeiitic lavas and dykes around Mananjary, a major phase of Late Cretaceous magmatism along the eastern rifted margin of Madagascar which are believed to be products of the Marion hot spot that extruded at ∼88 Ma, synchronous with the India‐Madagascar break up event. The age and compositional similarities between these Late Cretaceous magmatic rocks from India and Madagascar constitute a clear evidence for extension of the thermal manifestations deep into the Indian peninsula.
Robust Steering Control of Hot Strip Mill

In this paper, a robust steering control is proposed as a means to guarantee the stability of a hot strip finishing mill and improve its performances. The aim of the rolling process is to obtain a metal strip which is uniform and at the desired thickness. The lateral movement of the strip may reduce the quality of the product and damage the rolls. Hence, this displacement must be limited to improve process reliability. Since a hot strip mill treats products with very heterogeneous characteristics, a significant database was created and divided into different families of products. A method for reducing the numerical complexity of the problem exploiting the relation between the different product parameters is also presented. This method yields a convex stabilisation problem. Hence, for each family, a different robust controller is designed. Simulation and experimental results concerning the ArcelorMittal hot strip mill of Eisenhüttenstadt are presented.
Multilingual bi‐encoder models for biomedical entity linking

Natural language processing (NLP) is a field of study that focuses on data analysis on texts with certain methods. NLP includes tasks such as sentiment analysis, spam detection, entity linking, and question answering, to name a few. Entity linking is an NLP task that is used to map mentions specified in the text to the entities of a Knowledge Base. In this study, we analysed the efficacy of bi‐encoder entity linking models for multilingual biomedical texts. Using surface‐based, approximate nearest neighbour search and embedding approaches during the candidate generation phase, accuracy, and recall values were measured on language representation models such as BERT, SapBERT, BioBERT, and RoBERTa according to language and domain. The proposed entity linking framework was analysed on the BC5CDR and Cantemist datasets for English and Spanish, respectively. The framework achieved 76.75% accuracy for the BC5CDR and 60.19% for the Cantemist. In addition, the proposed framework was compared with previous studies. The results highlight the challenges that come with domain‐specific multilingual datasets.
University of Birmingham Governing through prevent? Regulation and contested practice in state–Muslim engagement

In this article, we consider the implications of the ‘Prevent’ strand of the government’s counter-terrorism strategy for the UK state’s engagement with Muslims. We argue that the logics of Prevent have been highly problematic for state–Muslim engagement. Nevertheless, we suggest that the characterisation of state approaches to engaging Muslims as a form of discipline is incomplete without an analysis of: first, differences in practices, habits and perspectives across governance domains; second, variations in approach and implementation between levels of governance; and third, the agency of Muslims who engage with the state. Through this approach we show how attention to the situated practices of governance reveals the contested nature of governing through Prevent.
MODAL DAMPING PARAMETER IDENTIFICATION METHOD BASED ON IMPROVED VMD AND ENVELOPE FITTING AND ITS APPLICATION

Aiming at the problems of correct separation of multi-modal signals and accurate identification of modal damping parameters of frequency measurement signals, a method of modal parameter identification based on improved variational mode decomposition (IVMD) and envelope fitting (EF) is proposed. Firstly, particle swarm optimization (PSO) algorithm is used to adaptively determine the VMD input parameters to obtain the IVMD method, and the IVMD method is used to accurately separate the multi-modal components of the signal to be decomposed into single-mode signals. Then, for each single-mode signal, the EF method is used to identify its modal frequency and damping ratio. The results of modal decomposition and modal parameter identification of displacement simulation signal and frequency measurement signal of a guide vane show that the IVMD method can realize the correct decomposition of multi-modal signal. The modal frequency identification error of the IVMD-EF method is less than 0.7%, the modal damping identification error is less than 4.0%, and its modal damping identification error is significantly less than that of the half power bandwidth (HPB) method. The maximum difference between the IVMD-EF method and the HPB method is 79.220%.
Linear bubble plume model for hypolimnetic oxygenation: Full‐scale validation and sensitivity analysis

An existing linear bubble plume model was improved, and data collected from a full‐scale diffuser installed in Spring Hollow Reservoir, Virginia, were used to validate the model. The depth of maximum plume rise was simulated well for two of the three diffuser tests. Temperature predictions deviated from measured profiles near the maximum plume rise height, but predicted dissolved oxygen profiles compared very well with observations. A sensitivity analysis was performed. The gas flow rate had the greatest effect on predicted plume rise height and induced water flow rate, both of which were directly proportional to gas flow rate. Oxygen transfer within the hypolimnion was independent of all parameters except initial bubble radius and was inversely proportional for radii greater than approximately 1 mm. The results of this work suggest that plume dynamics and oxygen transfer can successfully be predicted for linear bubble plumes using the discrete‐bubble approach.
Fast Unsupervised Deep Outlier Model Selection with Hypernetworks

Outlier detection (OD) finds many applications with a rich literature of numerous techniques. Deep neural network based OD (DOD) has seen a recent surge of attention thanks to the many advances in deep learning. In this paper, we consider a critical-yet-understudied challenge with unsupervised DOD, that is, effective hyperparameter (HP) tuning/model selection. While several prior work report the sensitivity of OD models to HPs, it becomes ever so critical for the modern DOD models that exhibit a long list of HPs. We introduce HYPER for tuning DOD models, tackling two fundamental challenges: (1) validation without supervision (due to lack of labeled anomalies), and (2) efficient search of the HP/model space (due to exponential growth in the number of HPs). A key idea is to design and train a novel hypernetwork (HN) that maps HPs onto optimal weights of the main DOD model. In turn, HYPER capitalizes on a single HN that can dynamically generate weights for many DOD models (corresponding to varying HPs), which offers significant speed-up. In addition, it employs meta-learning on historical OD tasks with labels to train a proxy validation function, likewise trained with our proposed HN efficiently. Extensive experiments on 35 OD tasks show that HYPER achieves high performance against 8 baselines with significant efficiency gains.
HIDROGEOQUÍMICA Y ESTIMACIÓN DEL FONDO NATURAL DE NITRATOS DEL AGUA SUBTERRÁNEA EN UN AGROECOSISTEMA DEL PEDEMONTE DE LA SIERRA DE COMECHINGONES

Hydrochemical characterization and natural background nitrate assessment in groundwater in an agroecosystem, Cordoba province (Argentina) For many rural communities, groundwater is the only source for human consumption. A problem that changes groundwater chemistry is the occurrence of nitrates, an indicator of anthropogenic pollution. Nitrate sources are agricultural activities (use of agrochemicals and extensive or intensive livestock). Due to the potential impact of such activities, the objective of this study is to assess the hydrochemical characteristics of the unconfined aquifer in an agroecosystem and to estimate the characteristic natural background value (NBV), the natural background range (NBR) and anomalous nitrate values. All these issues were linked to hydrogeological characteristics and land uses. Nitrates values between 3.0 and 192.5 mg/L were detected in groundwater. The NBR was 3.0 to 10.1 mg/L and the NBV was 7.5 mg/L. From all the samples obtained, 65 % is above the maximum limit of NBR and 87.5 % exceeds the NBV. The anomalous NO3- values are associated with different pollution sources. The highest are related to punctual sources, mainly cow and pig feed-lots, whereas the lowest are linked to diffuse contamination sources like disperse animal farming and fertilizers (urea, ammonium phosphate and sulfate) for soybean and maize crop.
Do clinical , histological or immunohistochemical primary tumor characteristics translate into different 18 FDG-PET / CT volumetric and heterogeneity features in stage II-III breast cancer ?

1 Department of Nuclear Medicine, Saint-Louis Hospital, Paris, France. 2 INSERM, UMR 1101 LaTIM, Brest, France. 3 Department of Nuclear Medicine, Milétrie Hospital, Poitiers, France. 4 Breast Diseases Unit and Department of Medical Oncology, Saint-Louis Hospital, Paris, France. 5 Department of Pathology, Saint-Louis Hospital, Paris, France. 6 Department of Nuclear Medicine, CHU Bordeaux, University of Bordeaux, France.
Looking beyond your own speciality: student and faculty perceptions of collaboration opportunities

This study examines engineering faculty and students’ views of collaboration beyond their own field, based on 12 engineering faculty interviews and a survey with 101 graduate-level mechanical engineering students. Our analysis shows that faculty members’ views on collaboration exhibit more diversity in terms of crossing disciplinary, functional, organisational, and geographic boundaries, and they view this collaboration as more integrated into engineering work, professional practices, and problem-solving. Students, in turn, report a narrower scope of collaboration, primarily focusing on multidisciplinary collaboration to utilise engineering output. Our study helps inform engineering educators to integrate diverse collaboration more effectively with course design.
Temporal variability of observed and simulated hyperspectral reflectance

Multivariate analysis techniques were used to quantify and compare the spectral and temporal variability of observed and simulated shortwave hyperspectral Earth reflectance. The observed reflectances were measured by the Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY) instrument between 2002 and 2010. The simulated reflectances were calculated using climate Observing System Simulation Experiments (OSSEs), which used two Intergovernmental Panel on Climate Change AR4 scenarios (constant CO2 and A2 emission) to drive Moderate Resolution Atmospheric Transmission simulations. Principal component (PC) spectral shapes and time series exhibited evidence of physical variables including cloud reflectance, vegetation and desert albedo, and water vapor absorption. Comparing the temporal variability of the OSSE‐simulated and SCIAMACHY‐measured hyperspectral reflectance showed that their Intertropical Convergence Zone‐like Southern Hemisphere (SH) tropical PC1 ocean time series had a 90° phase difference. The observed and simulated PC intersection quantified their similarity and directly compared their temporal variability. The intersection showed that despite the similar spectral variability, the temporal variability of the dominant PCs differed as in, for example, the 90° phase difference between the SH tropical intersection PC1s. Principal component analysis of OSSE reflectance demonstrated that the spectral and centennial variability of the two cases differed. The A2 PC time series, unlike the constant CO2 time series, exhibited centennial secular trends. Singular spectrum analysis isolated the A2 secular trends. The A2 OSSE PC1 and PC4 secular trends matched those in aerosol optical depth and total column precipitable water, respectively. This illustrates that time series of hyperspectral reflectance may be used to identify and attribute secular climate trends with a sufficiently long measurement record and high instrument accuracy.
PROCESS OF APPROPRIATION OF TRIGONOMETRIC CONCEPTS MEDIATED BY THE TEACHING GUIDING ACTIVITY (AOE)

: Mathematics has historically been perceived as difficult to understand. In Geometry, it has been based on memorizing definitions and formulas, which denies students the possibility of learning the historical logic of the concepts. The aim of this article is to analyze the Teaching Orientation Activity (AOE) as a methodological principle in the process of appropriating trigonometric concepts. It is a cross-section of data from a master’s research in Mathematics (BEZERRA, 2019), anchored in the qualitative approach that is inserted in a context of development of AOE with high school students form the state public network of Maranhão, Brazil. It was supported by Activity Theory and the concept of AOE itself. The results showed that AOE is a possibility for organizing the teaching of trigonometric concepts. Under these conditions, it is based on the historical logical movement of the concept, as it enables the student to become aware of the need to find a solution to the triggering problem, placing them in a learning activity.
Politics of Education: Multiculturalism Practice in Muhammadiyah University of Kupang, NTT

In Indonesia post-authoritarian era, the education practice in many districts is facing several dynamics especially as logical consuqeunce from political decentralization including in education sector. There have been many horizontal conflicts in regions as political response in opposing central government acts to build local identity that frequently being clashed with racial/race/region based social conflict.This research aims to analyze the dynamic of higher education in Muhammadiyah university of Kupang (UMK) that managed by Muhammadiyah as private institution, to eventually understand how the design and practice of multiculturalism education in this Islam based university in Kupang. Of several FGD and interviews that we combine with political theory analysis about multiculturalism education, we find several conclusions that lead us to say that multicultural education design in UMK is not sufficient. Practice of respecting diversity in UMK is mostly based in individual awareness to naturally accept pluralism. This is also supported by family experience of student that since their early has been living in diversity.
Writing for Pediatric Critical Care Medicine: Engaging With Citations to References in the Chatbot Generative Pre-Trained Transformer Era

Unauthorized reproduction of this article is prohibited Copyright © 2023 by the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies. Unauthorized reproduction of this article is prohibited 862 www.pccmjournal. org October 2023 • Volume 24 • Number 10 DOI: 10.1097/PCC.0000000000003356 Copyright © 2023 by the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Robert C. Tasker, MBBS, MD, FRCP1,2,3 PCCM NOTES, METHODS, AND STATISTICS