Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards Intelligent Cultural Adaptation of Educational Technology: An exploratory study

This paper describes an exploratory study in the area of cultural differences to inform the design of educational technology. The objective of this work was to investigate the role of Hofstede’s cultural dimensions as a framework to understand cultural traits of undergraduate students at the College of Informatics, University of Veracruz, Mexico. The methodology consisted of collecting information from a pool of 65 students considering cultural, motivational orientation and learning styles information and performing segmentation analyses to group the data into profiles. The resulting profiles use motivational orientation and learning styles as variables that explain cultural characteristics for these learners. This study serves two purposes: on the one hand, the profiles can be employed as rationale for the development of culturally adaptive learning technology. On the other it paves the way for the understanding of cultural variations and how these can be investigated in relation to educational technology. Resumen. Este artículo describe un estudio exploratorio de las diferencias culturales para informar el diseño de tecnología educativa. El objetivo de este trabajo fue investigar el rol que las dimensiones culturales de Hofstede como marco referencial para entender matices culturales entre estudiantes de licenciatura en la Facultad de Informática, Universidad Veracruzana, México. La metodología consistió de la colecta de información entre 65 estudiantes considerando orientación cultural, motivacionales y estilo de aprendizaje así como la realización de un análisis de segmentación para agrupar la información en perfiles de estudiantes. Los perfiles resultantes usan la orientación motivacional y los estilos de aprendizaje como variables que explican características culturales de los estudiantes. Este estudio sirve dos propósitos: por un lado, los perfiles pueden ser usados como base lógica para el desarrollo de tecnología educativa culturalmente adaptativa. Por otro lado, facilitará el entendimiento de variaciones culturales y como estas pueden ser investigadas en relación a la tecnología educativa.
FINDINGS ON NITRIC OXIDE IN LINK WITH GASTROESOPHAGEAL VAGAL PROGRESS IN STANDARDIZED CONDITIONS

The characteristics of nitric oxide on the confirmation of durability depend on the amplification position. Neural nitric oxide expects high gastric motor activity and modifies the mechanosensitive of gastroesophageal vagal disorders. The researchers attempted to get the results of nitric oxide on associated gastroesophageal vagal development under generally improved and maintained conditions and the second emission pathways mediating these effects. Female C56BL/7 mice aged two months were not vigorously supported or subjected to dietary restrictions for 16 hours. In vitro training continued to be applied to select the beneficial effects of nitric oxide and second drug delivery routes. The pronunciation of transduction particles of the sign of nitric oxide in vagal afferences remained controlled by the switching interpretation of polymerase chain reaction. Our current research was conducted at Lahore General Hospital Lahore from December, 2016 to December, 2017. Endogenous nitric oxide and nitric oxide support S-nitroso-N-acetyl-N-acetyl-N-acetyl-N-acetyl-N-acetyl-N-acetyl-N-acetyl penicillamine and control related vagal mucosal reactions to material improvements in mice that are not strictly necessary. After 15 hours of rapid and endogenous nitric oxide, SNAP potentiated the pressure and mucosal reactions associated with mechanical stimulation. The nitric oxide stimulation result was altered by apocynin, an inhibitor of nicotinamide adenine dinucleotide phosphate (NADPH) oxidase. After 15 hours of rapid pronunciation of NADPH oxidase 3 (NOX2) mRNA in all positive nodes, the stimulating effect of NO on gastroesophageal vagal disorders remained significantly reduced. Under fasting situations, the inhibitory effect of NO remained congested by ivabradine, a hyperpolarized channel blocker of cyclic nucleotides, and the pronunciation of HCN3 mRNA in positive nodes increased. Overall, NO activity in the perimeter guideline for gastroesophageal vaginal disorders remains active and also depends on the position of the amplification.
Electrical Measurements on Cadmium Selenite Nano Composites

By simple microwave irradiated solvothermal process using microwave oven Cadmium Selenite (CdSeO3) nanoparticles were prepared. Cadmium acetate and Sodium selenite were used as precursors in the molar ratio 1:3. The powder XRD result shows that particles are purely crystallized in hexagonal phase with the broadening of diffraction peaks attributed to nanoscale size of the particles. The dielectric measurements were carried in two frequencies for temperatures ranging from 40 to 150oC. The present study indicates that the polarization mechanism in the nano particles considered is mainly contributed by space charge polarization. It can be understood that the space charge contribution plays an important role in the charge transport and polarizability in all the systems considered in the present study. The dielectric constant, dielectric loss, AC conductivity and DC conductivity increases with increase in temperature.
PGPM_A_256230 189..197

Yiling Yang * Qiang Zhou* Huiwen Pan Liming Wang Cheng Qian 1Department of Oncology, Affiliated People’s Hospital of Jiangsu University, Zhenjiang, Jiangsu 212002, People’s Republic of China; 2Department of Cardiothoracic Surgery, Affiliated People’s Hospital of Jiangsu University, Zhenjiang, Jiangsu 212002, People’s Republic of China; 3Department of Respiratory, Xuhui Hospital-Affiliated Hospital of Zhongshan Hospital of Fudan University, Shanghai 200032, People’s Republic of China; 4Department of Thoracic Surgery, Zhongshan Hospital of Fudan University, Shanghai 200032, People’s Republic of China
EFSA Panel on Dietetic Products, Nutrition and Allergies (NDA); Scientific Opinion on the substantiation of a health claim related to glucosamine and maintenance of normal joint cartilage pursuant to Article 13(5) of Regulation (EC) No 1924/2006

the in vitro and animal studies in support of the biological plausibility for a possible contribution of dietary glucosamine to the maintenance of joint cartilage in humans is weak. The Panel concludes that a cause and effect relationship has not been established between the consumption of glucosamine and maintenance of normal joint cartilage in individuals without osteoarthritis. © European Food Safety Authority, 2012 cross-sectional study was performed to assess the validity of type II collagen fragments in urine as outcome measures of joint damage. Urinary concentrations of type II collagen fragments were assessed in 21 male soccer players and in 10 male college students who did not participate in any college athletics. Urinary concentrations of CTX-II, but not of C2C, were reported to be significantly higher in soccer players than in the control subjects (p<0.01), whereas urinary concentrations of CPII were not significantly different between the groups. The ratio of CTX-II/CPII in soccer players was significantly higher than that in controls (p<0.05). The Panel considers that the evidence provided does not establish that changes in urinary concentrations of type II collagen fragments can be used to predict joint cartilage degradation. Panel
Should docetaxel be standard of care for patients with metastatic hormone-sensitive prostate cancer? Pro and contra

1 oncoprotein stimulate CD4+ and CD8+ T cells that recognize and kill human malignant mesothelioma tumor cells. Clin Cancer Res 2007; 13: 4547–4555. 99. Krug LM, Dao T, Brown AB et al. WT1 peptide vaccinations induce CD4 and CD8T cell immune responses in patients with mesothelioma and non-small cell lung cancer. Cancer Immunol Immunother 2010; 59: 1467–1479. 100. Powell A, Creaney J, Broornfield S et al. Recombinant GM-CSF plus autologous tumor cells as a vaccine for patients with mesothelioma. Lung Cancer 2006; 52: 189–197. 101. Le DT, Jaffee EM. Regulatory T-cell modulation using cyclophosphamide in vaccine approaches: a current perspective. Cancer Res 2012; 72: 3439–3444. 102. Whittaker DS, Bahjat KS, Moldawer LL, Clare-Salzler MJ. Autoregulation of human monocyte-derived dendritic cell maturation and IL-12 production by cyclooxygenase-2-mediated prostanoid production. J Immunol 2000; 165: 4298–4304. 103. Kantoff PW, Higano CS, Shore ND et al. Sipuleucel-T immunotherapy for castration-resistant prostate cancer. N Engl J Med 2010; 363: 411–422. 104. Hegmans JP, Veltman JD, Lambers ME et al. Consolidative dendritic cell-based immunotherapy elicits cytotoxicity against malignant mesothelioma. Am J Respir Crit Care Med 2010; 181: 1383–1390. 105. Lanitis E, Poussin M, Hagemann IS et al. Redirected antitumor activity of primary human lymphocytes transduced with a fully human anti-mesothelin chimeric receptor. Mol Ther 2012; 20: 633–643. 106. Moon EK, Carpenito C, Sun J et al. Expression of a functional CCR2 receptor enhances tumor localization and tumor eradication by retargeted human T cells expressing a mesothelin-specific chimeric antibody receptor. Clin Cancer Res 2011; 17: 4719–4730. 107. Zhao Y, Moon E, Carpenito C et al. Multiple injections of electroporated autologous T cells expressing a chimeric antigen receptor mediate regression of human disseminated tumor. Cancer Res 2010; 70: 9053–9061. 108. Schuberth PC, Hagedorn C, Jensen SM et al. Treatment of malignant pleural mesothelioma by fibroblast activation protein-specific re-directed T cells. J Transl Med 2013; 11: 187. 109. Garin-Chesa P, Old LJ, Rettig WJ. Cell surface glycoprotein of reactive stromal fibroblasts as a potential antibody target in human epithelial cancers. Proc Natl Acad Sci USA 1990; 87: 7235–7239. 110. Petrausch U, Schuberth PC, Hagedorn C et al. Re-directed T cells for the treatment of fibroblast activation protein (FAP)-positive malignant pleural mesothelioma (FAPME-1). BMC Cancer 2012; 12: 615. 111. Scherpereel A, Grigoriu BD, Noppen M et al. Defect in recruiting effector memory CD8+ T-cells in malignant pleural effusions compared to normal pleural fluid. BMC Cancer 2013; 13: 324.
Letter to the Editor work and breast cancer a systematic review and meta-analysis”

Print ISSN: 0355-3140 Electronic ISSN: 1795-990X Copyright (c) Scandinavian Journal of Work, Environment & Health Letter to the Editor Scand J Work Environ Health 2013;39(6):631-632 doi:10.5271/sjweh.3385 Response to Ijaz S, et al. “Night-shift work and breast cancer a systematic review and meta-analysis” by Stevens RG, Hansen J, Schernhammer ES, Davis S Affiliation: University of Connecticut Health Center, Farmington, CT, USA. bugs@uchc.edu Refers to the following text of the Journal: 2013;39(5):427-530 The following article refers to this text: 2013;39(6):531-634 Key terms: breast cancer; cancer; dose–response; letter to the editor; night-shift work; shift work
Strong Rayleigh–Darcy convection regime in three-dimensional porous media

Abstract We perform large-scale numerical simulations to study Rayleigh–Darcy convection in three-dimensional fluid-saturated porous media up to Rayleigh–Darcy number $Ra=8\times 10^4$. At these large values of $Ra$, the flow is dominated by large columnar structures – called megaplumes – which span the entire height of the domain. Near the boundaries, the flow is hierarchically organized, with fine-scale structures interacting and nesting to form larger-scale structures called supercells. We observe that the correlation between the flow structure in the core of the domain and at the boundaries decreases only slightly for increasing $Ra$, and remains rather high even at the largest $Ra$ considered here. This confirms that supercells are the boundary footprint of megaplumes dominating the core of the domain. In agreement with available literature predictions, we show that the thickness of the thermal boundary layer scales very well with the Nusselt number as $\delta \sim 1/ Nu$. Measurements of the mean wavenumber – inverse of the mean length scale – in the core of the flow support the scaling $\bar {k} \sim Ra^{0.49}$, in very good agreement with theoretical and numerical predictions. Interestingly, the behaviour of the mean wavenumber near the boundaries scales as $\bar {k} \sim Ra^{0.81}$, which is distinguishably different from the presumed linear behaviour. We hypothesize that a linear behaviour can only be observed in the ultimate regime, which we argue to set in only at $Ra$ in excess of $5\times 10^5$, whereas a sublinear behaviour is recovered at more modest $Ra$. The present results are expected to help the development of long desired reliable models to predict the large- and fine-scale structure of Rayleigh–Darcy convection in the high-$Ra$ regime typically encountered in geophysical processes, such as for instance in geological carbon dioxide sequestration.
Dann, R and Scanlon, J and Basford, J and Booth, C and O’Sullivan, R and Woodfine, C and Wright, P (2018)The Impact of Doctoral Study on University Lecturers’ Construction of Self within a changing Higher Education policy

This paper explores the impact of lecturers’ individual current doctoral study on their own and collective constructions of self in a changing Higher Education (HE) policy context. It focuses on how lecturers, drawn from a professional knowledge background, make sense of new institutional requirements for new lectures to have doctorates. The lecturers themselves, through ‘facilitated collaborative auto-ethnography’, generate the substantial data and analysis for this research. This study exposes the enormous pressure of the doctorate on their lives and reveals different ways in which they resist particular forms of language, affiliations and positioning within their institution. However, of particular significance in this study is their own agency and collective voice, through using their developing cultural tools of research to ‘be’ researchers, in and beyond their own doctoral studies, in order to understand their own changing identities within HE. The study therefore reveals complex, contradictory and unexpected responses to HE policy.
Comparison Between Numerical Results and Operative Environment Data on Neural Network for Air Data Estimation

Several architectures exist to measure aerodynamic angles based on physical sensors. As far as Unmanned Aerial Vehicle (UAV) is concerned, traditional systems hardly comply with reliability and redundancy requirements due to size and weight limitations. A patented virtual sensor, based on Neural Network (NN) techniques, named Smart-ADAHRS (Smart-Air Data, Attitude and Heading Reference System) has been investigated as a good estimator for aerodynamic angles in simulated environment. This paper focuses on flight testing procedures in operative environment and data processing for the Smart-ADAHRS validation with real data. As many factors interfere during the generation of the NN training set, an accurate choice and integration of the FTI (Flight Test Instrumentation) system components becomes crucial. A comprehensive description has been included about the FTI equipment and its influence on the neural network performance. Differences between numerical simulation and operative environment data are detailed as final aim of this work. Finally, feasible solutions are suggested to solve the typical gap between virtual and real scenario, both in terms of data analysis and neural network architecture.
At the Tensions of South and North: Critical Roles of Global South Stakeholders in AI Governance

This paper aims to present a landscape of AI governance for and from the Global South, advanced by critical and decolonial-informed practitioners and scholars, and contrast this with the Inclusive AI Governance discourse led out of Global North institutions. By doing so, it identifies gaps in the dominant AI governance discourse, and bridges these gaps with relevant discourses of technology and power, localisation, and historical-geopolitical analyses of inequality led by Global South aligned actors. Specific areas of concern addressed by this paper include infrastructural and regulatory monopolies, harms associated with the labour and material supply chains of AI infrastructure, and commercial exploitation. By contrasting Global South and Global North discourses surrounding AI risks, this paper proposes a systemic restructuring of AI governance processes beyond current frameworks of Inclusive AI governance, offering three roles for Global South actors to substantively engage in AI governance processes.
Beyond Fairness: Reparative Algorithms to Address Historical Injustices of Housing Discrimination in the US

Fairness in Machine Learning (ML) has mostly focused on interrogating the fairness of a particular decision point with assumptions made that the people represented in the data have been fairly treated throughout history. However, fairness cannot be ultimately achieved if such assumptions are not valid. This is the case for mortgage lending discrimination in the US, which should be critically understood as the result of historically accumulated injustices that were enacted through public policies and private practices including redlining, racial covenants, exclusionary zoning, and predatory inclusion, among others. With the erroneous assumptions of historical fairness in ML, Black borrowers with low income and low wealth are considered as a given condition in a lending algorithm, thus rejecting loans to them would be considered a “fair” decision even though Black borrowers were historically excluded from homeownership and wealth creation. To emphasize such issues, we introduce case studies using contemporary mortgage lending data as well as historical census data in the US. First, we show that historical housing discrimination has differentiated each racial group’s baseline wealth which is a critical input for algorithmically determining mortgage loans. The second case study estimates the cost of housing reparations in the algorithmic lending context to redress historical harms because of such discriminatory housing policies. Through these case studies, we envision what reparative algorithms would look like in the context of housing discrimination in the US. This work connects to emerging scholarship on how algorithmic systems can contribute to redressing past harms through engaging with reparations policies and programs.
PMAL: A Proxy Model Active Learning Approach for Vision Based Industrial Applications

Deep Learning models’ performance strongly correlate with availability of annotated data; however, massive data labeling is laborious, expensive, and error-prone when performed by human experts. Active Learning (AL) effectively handles this challenge by selecting the uncertain samples from unlabeled data collection, but the existing AL approaches involve repetitive human feedback for labeling uncertain samples, thus rendering these techniques infeasible to be deployed in industry related real-world applications. In the proposed Proxy Model based Active Learning technique (PMAL), this issue is addressed by replacing human oracle with a deep learning model, where human expertise is reduced to label only two small subsets of data for training proxy model and initializing the AL loop. In the PMAL technique, firstly, proxy model is trained with a small subset of labeled data, which subsequently acts as an oracle for annotating uncertain samples. Secondly, active model's training, uncertain samples extraction via uncertainty sampling, and annotation through proxy model is carried out until predefined iterations to achieve higher accuracy and labeled data. Finally, the active model is evaluated using testing data to verify the effectiveness of our technique for practical applications. The correct annotations by the proxy model are ensured by employing the potentials of explainable artificial intelligence. Similarly, emerging vision transformer is used as an active model to achieve maximum accuracy. Experimental results reveal that the proposed method outperforms the state-of-the-art in terms of minimum labeled data usage and improves the accuracy with 2.2%, 2.6%, and 1.35% on Caltech-101, Caltech-256, and CIFAR-10 datasets, respectively. Since the proposed technique offers a highly reasonable solution to exploit huge multimedia data, it can be widely used in different evolutionary industrial domains.
On the Power of Randomization in Fair Classification and Representation

Fair classification and fair representation learning are two important problems in supervised and unsupervised fair machine learning, respectively. Fair classification asks for a classifier that maximizes accuracy on a given data distribution subject to fairness constraints. Fair representation maps a given data distribution over the original feature space to a distribution over a new representation space such that all classifiers over the representation satisfy fairness. In this paper, we examine the power of randomization in both these problems to minimize the loss of accuracy that results when we impose fairness constraints. Previous work on fair classification has characterized the optimal fair classifiers on a given data distribution that maximize accuracy subject to fairness constraints, e.g., Demographic Parity (DP), Equal Opportunity (EO), and Predictive Equality (PE). We refine these characterizations to demonstrate when the optimal randomized fair classifiers can surpass their deterministic counterparts in accuracy. We also show how the optimal randomized fair classifier that we characterize can be obtained as a solution to a convex optimization problem. Recent work has provided techniques to construct fair representations for a given data distribution such that any classifier over this representation satisfies DP. However, the classifiers on these fair representations either come with no or weak accuracy guarantees when compared to the optimal fair classifier on the original data distribution. Extending our ideas for randomized fair classification, we improve on these works, and construct DP-fair, EO-fair, and PE-fair representations that have provably optimal accuracy and suffer no accuracy loss compared to the optimal DP-fair, EO-fair, and PE-fair classifiers respectively on the original data distribution.