Miracle-dz/UniFAR-FTUs huggingface dataset:
Newspapers as teaching tools for media literacy education what makes teachers use newspapers in their classrooms?

ABSTRACT In many countries stakeholders take initiatives to stimulate students’ media literacy, such as (free) distribution of newspapers to teachers, the so-called Newspapers in Education (NiE) programmes. The aim of these initiatives is to promote reading, stimulate interactive ways of teaching and create a generation of critical thinkers and informed citizens. The success and effectiveness of initiatives of this kind depend on how teachers use newspapers as teaching tools in class. In this study we examine the use of a local NiE programme and shed light on its determining factors. 454 Flemish teachers (Belgium) in primary and secondary education and 219 student teachers (Bachelors and Masters) participated in the study, which followed a mixed-methods approach. The results show that if newspapers are (freely) distributed, teachers use them as teaching tools quite intensively as teaching tools. One of the most determining factors is the extent to which teachers use media themselves and work on media creation in their classrooms. This finding indicates that school board members, pedagogical counsellors and teacher educators can support and stimulate NiE programmes by paying explicit attention to these elements, e.g., during pre- and in-service training as well as by focusing on the development of media literacy competencies of teachers.
Introduction to the special issue of the Global crisis in housing affordability

ABSTRACT This paper introduces the special issue on The Global Crisis in Housing Affordability in the International Journal of Urban Sciences in 2021. It provides the motivation of the special issue, and discusses main topics covered by papers in this issue, including a review of the current literature and conceptual discussions, the extent of housing affordability problems in both developed and developing countries, causes and consequences of these problems, and evaluations of policy measures.
FURTHER PHYTOCHEMICAL SCREENING; NON-CLINICAL EVALUATION OF TOXIC AND ANTI- INFLAMMATORY EFFECTS OF CRUDE AQUEOUS EXTRACT OF GYNURA NEPALENSIS

Gynura nepalensis DC, belonging to the family Compositae, is widely distributed in China. Traditionally, this plant is used in the treatment of various ailments, including infections, hyperglycemia and hypertension. This study aimed to perform a preliminary phytochemical analysis of the crude aqueous leaf extract of G. nepalensis along with its toxic and protective effects by using a number of in vitro and ex vivo test models. Toxicity was tested in Allium cepa, while the protective effects such as antiinflammatory in egg albumin and membrane stabilizing and clotlysis capacity in human erythrocytes. The results suggest that the plant possesses alkaloids, tannins, flavonoids, steroids, saponins, glycosides and reducing sugar. G. nepalensis exerted time and concentration-dependently toxicity in A. cepa. However, at 72 h the plant extract showed an adaptation capability at low concentration (2.5 – 15% v/v), possibly by reducing DNA damage index in the eukaryotic test system, which was further confirmed in the anti-inflammatory, thrombolytic and membrane stabilizing test, where the extract within the range of 0.12 – 0.36% v/v was found to inhibit protein denaturation and hemolysis, with an enhanced clotlysis capacity in the test systems. A concentration-dependent activity of the extract was seen in the latter cases. In conclusion, G. nepalensis possesses many important phytoconstituents and exerted toxic effects in A. cepa at high concentration, while protective effects other test systems at low concentrations. Further studies are highly appreciable to isolate the responsible phytochemicals for the observed biological effects.
SEMANTICAL ENRICHMENT OF WEB USER INTERFACES IN THE CROWD

Structured data on the Web have become very important in recent years and offer machine-readable semantics of the data contained. Schema.org is the most recognized vocabulary for structuring data on websites and serves beyond that also to organize and query Google’s knowledge graph. However, Schema.org is mainly used today to semantically describe real-world entities and their relationships to one another. To describe the functionality and handling of websites has not been the key application area of Schema.org yet, though it also includes an appropriate vocabulary. In addition, most Schema.org tools are limited in terms of the Schema.org classes and properties they offer and do not support the semantical enrichment of web user interfaces. In this article we motivate the potential of the sematic enrichment of web user interfaces regarding their functionality and handling and present possible application areas to consume these structured data. We analyze the requirements on structured user interface data and investigate the suitability of Schema.org as a vocabulary to fulfil them. Since there are hundreds of classes and properties in Schema.org, we present a conceptual model of Schema.org classes and properties that are appropriate to enrich web user interfaces. We investigate to what extent interactive elements on HTML websites or applications can be automatically mapped to our conceptual model elements. As a result, we present a method to semi-automatically produce structured user interface data and illustrate our approach with a continuous use case. As a proof of concept, we introduce Schemator , a comfortable structured user interface data tool supporting our method, which can be used to crowdsource knowledge about the functionality and handling of websites and applications.
MACERATION TECHNIQUES EXTRACTION OF THYMUS VULGARIS AND LAUREL (LAURUS NOBILIS) LEAVES WITH ANTIBACTERIAL STUDY

Thymus vulgaris and Luarel (Laurus nobilis) leaves belong to Lamiaceae and Lauraceae family respectively. Both are popular plant in Iraq and main vegetable used in Iraqis food and cooking. Both leaves mentioned above possess antibacterial, antiviral and antifungal functions and in commercial medicine as an essential component. Thymus vulgaris and Luarel (Laurus nobilis) leaves were extracted through cold method of extraction by acetone which called maceration. Then Phytochemical tests applied where showed present and absent some chemical compound as showed in table 1 and 2. In vitro antibacterial activity results were summarized in table 2, of Thymus vulgaris and Luarel leaves against some pathogenic bacterial strains Klebsiella, E. coli which separated from patients urine.
POTENTIAL SOAP, SHAMPOO AND DETERGENT PLANT RESOURCES OF INDIA AND THEIR ASSOCIATED TRADITIONAL KNOWLEDGE

The present paper deals with 108 species of potential soap, shampoo and detergent plants belonging to 87 genera and 52 families of vascular plants of India. These include indigenous cultivated plants with wild-forms. Botanical names of plants are listed in alphabetic order. Correct names, important synonyms, name of the family; vernacular names; mode of use of plant parts; chemical constituents; geographical distribution of each plant are presented in tabular form. Data sources for every recorded use of the listed plants are indicated. Cleaning property of plant parts, healing actions, bioprospective potentials, scope for value addition, promotion of cosmaceutical uses, trade of natural cleaning agent are discussed.
Analysis of cytological features and different patterns of granulomatous inflammation in lymph node aspirates

Aim: study cytological features and different patterns of granulomatous inflammation in lymph node aspirates. Material and method: The present prospective and retrospective study is carried out in 536 cases of clinical diagnosed lymphadenopathy for fine needle aspiration cytology in the department of pathology, Krishna Institute of Medical Sciences University, Karad, during the period of May 2005 to April 2008 (retrospective) and May 2008 to December 2010 (prospective). Result: In our study of 122 granulomatous cases, 106 given as tuberculous lymphadenitis out of which 17 cases underwent for histopathological examination and 16 reported as tuberculous lymphadenitis except one which is given as reactive lymph node. Therefore % of false negative cases is 5.88%. In remaining eight granulomatous lesions, we could not find any causative agents like organisms, inclusion bodies or fungi with routine stain and even with special stains. These cases were subjected for lymph node biopsy and histopathological study. Conclusion: In all these cases, careful clinical history like HIV positive status, H/O vaccination, cat bite and scratches and radiological investigation in case of sarcoidosis like chest X-ray and MRI findings and thorough clinical examination helped us to arrive at the diagnosis. The clinical history is far most important to arrive at particular diagnosis in some uncommon cases of lymphadenopathy. Thus to conclude, Fine Needle Aspiration Cytology is likely to be more successful is close knit setup with constant interaction and feedback between clinicians and pathologists.
A Monte Carlo simulation of the micellar phase of an amphiphile and solvent mixture

Results are presented from Monte Carlo simulations of a three-dimensional lattice model of a binary mixture of solvent and amphiphile chains in which free self-assembly of the chains is allowed. The use of a lattice model allows good statistics to be collected for clusters containing up to 100 chains. The model exhibits a critical micelle concentration and a cluster size distribution with a minimum and maximum in the micellar region. The dependence of the weight average aggregation number on the total amphiphile concentration is found to obey theoretical predictions. The dilute solution excess chemical potential μ0 n - μ0 1 is determined from the cluster size distribution, where n is the number of monomers in a cluster. A single analytical expression is found to describe the cluster size distribution and the behaviour of the monomer concentration with total amphiphile concentration in the concentration range from 0 to 10 vol%. The excess chemical potential is found to be a monotonically decreasing functio.
DEff-ARTS: Differentiable Efﬁcient ARchiTecture Search

Manual design of efﬁcient Deep Neural Networks (DNNs) for mobile and edge devices is an involved process which requires expert human knowledge to improve efﬁciency in different dimensions. In this paper, we present DEff-ARTS, a differentiable efﬁcient architecture search method for automatically deriving CNN architectures for resource constrained devices. We frame the search as a multi-objective optimisation problem where we minimise the classiﬁcation loss and the computational complexity of performing inference on the target hardware. Our formulation allows for easy trading-off between the sub-objectives depending on user requirements. Experimental results on CIFAR-10 classiﬁcation showed that our approach achieved a highly competitive test error rate of 3 . 24% with 30% fewer parameters and multiply and accumulate (MAC) operations compared to Differentiable ARchiTecture Search (DARTS).
Effects of shade nettings, sowing time and storage on baby spinach flavonoids

Flavonoids are important in plant interactions with the environment and may have positive effects on human health. Effects of light quality and quantity on flavonoid concentration were studied in baby spinach (Spinacia oleracea L.) cultivated under three types of shade netting differing in transmittance of UV-B and PAR, at two times during the season. Leaves harvested at two growth stages for each sowing were subjected to different post-harvest storage conditions. Shade nettings had a relatively small effect on flavonoid concentration in baby spinach. The largest effect was found when radiation was most intense. The nettings then decreased total flavonoid concentration by 15–24% at the normal commercial growth stage at harvest. Radiation and plant growth both affected flavonoid concentration, in opposite or similar directions depending on time of season. This variation was reflected in the statistical analysis, showing significant interactions among the factors. There were large differences (up to 100%) in flavonoid concentration between the different times of the season, in shaded as well as unshaded spinach. Flavonoid concentration and composition changed during storage, but no consistent difference was found between the shaded and unshaded leaves. In most cases, total flavonoid concentration increased significantly during the first 6 days of storage. In conclusion, the use of shade netting is acceptable for production of baby spinach as regards flavonoid concentration and composition. Copyright © 2007 Society of Chemical Industry
On the counterfactual nature of envy

We examined whether counterfactual thinking influences the experience of envy. Counterfactual thinking refers to comparing the situation as it is to what it could have been, and these thought processes have been shown to lead to a variety of emotions. We predicted that for envy the counterfactual thought “it could have been me” would be important. In four studies we found a clear link between such counterfactual thoughts and the intensity of envy. Furthermore, in Studies 3 and 4 revealed that a manipulation known to affect the extent of counterfactual thinking (the perception of being close to obtaining the desired outcome oneself), had an effect on the intensity of envy via counterfactual thoughts. This relationship between counterfactual thinking and the experience of envy allows for new predictions concerning situations under which envy is likely be more intense.
Multiqos-Enhanced Heuristic Model For Scheduling Of Scientific Workflows

: Cloud Computing has emerged with the successive advancement of traditional computing like distributed computing and grid computing. Infrastructure as a Service (IaaS) clouds offer computation of workflows at low cost. Objective of this paper is to propose an enhanced heuristic method for scheduling single scientific workflow that reduces time and cost QoS parameters. This paper discusses different workflow scheduling approaches on the basis of data storage system and clustering methods to obtain single QoS objective. Proposed method is based on multiobjective heuristic which is an enhanced version of MaxMin workflow scheduling, called Vertical MaxMin Workflow Scheduling (VMM). The simulated result for comparative study of various heuristics is done on WorkflowSim for single workflow. Comparative results confer that proposed method obtains multi-objective QoS with lower cost in efficient time.
Device Fabrication by Easy Soft Imprint Nano-Lithography

A new robust and exceptionally simple procedure for soft nano-imprint lithography (Soft-NIL) is described, which provides easy access to nanoscale patterns of a host of active materials on a Si/SiOx surface. Partial curing of a thiol-ene based UV cross-linkable resin (<1 μm) for 30−40 s prior to imprinting resulted in sufficient buildup of resin molecular weight to prevent its absorption into polydimethylsiloxane molds yet maintain a low enough viscosity to allow for rapid molding of nanoscale features during the subsequent imprint-and-cure stage of the process. Imprinted features were easily transferred to the underlying substrate by traditional reactive ion etching and lift-off processes. Easy soft imprint nano-lithography (ESINL) permitted the use of untreated PDMS molds for replicating patterns in gold, nickel, and complex aluminum capped silicon structures. ESINL was used to fabricate organic field effect transistors (poly(3,3′′′-didodecylquaterthiophene, W/L = 204, μsat = 6.0 × 10−3 cm2/(V·s)), demo.
THE IMPACTS OF AFTA-COMMON EFFECTIVE PREFERENTIAL TARIFFS ON THE TRADE DIVERSION AND TRADE CREATION OF SYNTHETIC RUBBER AND FACTICE FROM OIL IN INDONESIA

Rubber and its products are one of the exported commodities listed in Indonesia’s ten primary exported commodities (Ministry of Trade 2015). Different from other rubber products, the import of synthetic rubber and factice from oil have increased significantly since the establishment of the AFTA-CEPT with approximately 7 thousand registered products in the Inclusion List (IL) in 2002. This study aimed to analyze the competitiveness of synthetic rubber and factice from oil among the members of AFTA countries and analyze the impacts of trade creation and trade diversion on the implementation of the CEPT-AFTA on synthetic rubber and factice oil from Indonesia, particularly in the 11 countries of origin of imports during the period from 2001 to 2013 by using a gravity model, which was analyzed using static data panel. Based on the results of RCA (Revealed Comparative Advantage), the competitiveness of synthetic rubber and factice oil from Indonesia is very low among four ASEAN countries, while Thailand is the top exporting countries in ASEAN region. The results of the panel data analysis showing variables which have positive influence are Indonesia’s real GDP and real GDP of the country of origin of imports, while variables with negative effect are economic distance and Indonesia’s real exchange rate compared to the country of origin of imports. The implementation of AFTA-CEPT brought against trade diversion and creation of synthetic rubber and factice oil from Indonesia will have impacts on the existence of trade creation because part of the domestic production of synthetic rubber and factice oil from Indonesia will be replaced with imports from member countries and there is no trade diversion.
Neural Network Based Inverter Control for Improving Power Quality in Grid Connected PV system

Grid connected PV system is always a matter of concern in terms of power quality (PQ). The effective way for improving PQ is implementation of proper inverter control and racking of solr output voltagecurrent. In the proposed work the inverter gain parameters are tuned using neural network. Inverter is designed with conventional PI controller and the gains are trained with the grid variable like voltage/current and the output of PI is set with respect to grid. The NN predicts the gain parameters of the PI controller as per the grid side parameter variation and the PQ of the grid side has been enhanced. The system has been designed in MATLAB simulation environment. The performances has been studied for static as well as non-linear loading and for the grid sag condition to obtain low losses and high recovery with low THD content.
Correct sizing of reflectors smaller than one wavelength

In the field of ultrasonic testing there are two key questions: Which defects can be found and – in the case indications are found – do they restrict the use of the part? Regarding both questions, the prerequisite is a method for defect sizing. Over the last decades sizing methods were established like DGS (Distance Gain Size) or DAC (Distance Amplitude Correction) for defects smaller than the beam profile. Those methods utilize the echo amplitude and provide results which are proportional to the defect area. However, those approximations are only accurate for defects larger than one wavelength even that experience shows it can be applied for slightly smaller defects. With the progress of material technology and ultrasonic inspection the need to detect and size smaller defects is growing. Therefore, both for flat bottom holes and disc shaped reflectors the usability for small defects needs to be checked. In this publication, it is investigated how to correctly size small defects below one wavelength. Utilizing a grid-based simulation method the echo signals of cylinder and disc shaped reflectors of various sizes are calculated. By properly choosing the simulation method and grid it is ensured that all physical wave modes are included in the simulation and that the discretization error is negligible. A good correspondence between the simulation and classical defect sizing for defects larger than one wavelength is found. In the region between one quarter of a wavelength and one wavelength resonance effects are found, which result in classical defect sizing methods giving conservative results. In the region below one quarter of a wavelength classical DGS and DAC sizing leads to undersizing. This is discussed in detail and a formula for defect sizing is derived, which is applicable to small as well as large defects.
High Capacity Anion-Exchange Resin as a Solid-Phase Extraction for Determination of Methylphosphonic Acid

A highly sensitive and accurate method for the preconcentration and determination of ultratrace amounts of methylphosphonic acid (MPA) in water samples is proposed. The method is based on the solid phase extraction with an ion exchange anion resin. The high capacity anion-exchange was prepared from the reaction of polyvinylbenzyl chloride and 2,3,4-tris((dimethyl amino)methyl)phenol in dioxane. The ion-exchange capacity was estimated by the potentiometric titrations and calculated as 8.6 meq/g-dry. The extraction efficiency and the influence of the type and least amount of eluent for the stripping of MPA from the cartridge, pH, flow rates of sample solution and eluent, resin stability and reproducibility, and the breakthrough volume were evaluated. The limit of detection of the method was 0.5 µg L−1 for MPA and also an enrichment factor of 100 was obtained.
Lifestyle Similarity Based Trustworthy Friend Recommendations In Online Social Networks

: Due to its rapid growth and popularity, social networking is now people’s first option for information retrieval and sharing thoughts. Information sent and received by a user depend on whom the user is friend with in online social networks. Thus, recommending users with similar lifestyles and trustworthiness makes it easy to receive accurate and reliable information. Since messages circulated by social networking users reflect their lifestyles, and the phrases in the information determine interest of the user in large extent. This makes computing users’ preferences accurate by user entered contents. Users’ lifestyles are dynamic and they keep changing as situation demands. Based on this, we propose a Trust Score algorithm that works on lifestyle similarity based trustworthy friend recommendation system to recommend trustworthy friends in online social networks. The system encounters the users’ lifestyles by extracting keywords over a period of time via a topic model. Cosine similarity finds similarity between users and the trust score between users are computed by Trust score algorithm to recommend trustworthy friends. The experimental results of friend recommendations show the effectiveness by recommending accurate trustworthy friends.
EFFECT OF SALINITY STRESS ON PHOTOSYNTHETIC ENZYMES OF TWO SESAME (SESAMUM INDICUM L.) VARIETIES

The effect of increasing NaCl concentrations (0, 40, 80 and 120mM) was studied of two different varieties (VIR-2 and PAIYUR-1) of sesame (Sesamum indicum L.) plants grown in pots. Sampling was done on 15th Days After Treatment (DAT) and 30th DAT from control and salinity treated plants. The response of the sesame plants to salinity stress was analyses by estimating the levels of Photosynthetic enzymes activity. Photosynthetic rate, activities of RuBP carboxylase and sucrose phosphate synthase (SPS) decreased with increasing salinity. In addition, the activities of Dichlorophenol Indophenol (DCPIP) Reduction were decreased. The results indicated that plants of variety VIR-2 exhibited higher adaptive potential under salinity stress as judged by increased photosynthetic rate and activities of photosynthetic when compared to variety PAIYUR-1. From the results of this investigation, it may be concluded that plants of variety VIR-2 have high adaptive potential under salinity when compared to variety PAIYUR-1.