Miracle-dz/UniFAR-FTUs huggingface dataset:
Consumer Preferences for New Products: Eye Tracking Experiment on Labels and Packaging for Olive Oil Based Dressing

The product can be defined as a “basket of attributes” which provides the customer with the functional value specific to that class of product, as well as a set of secondary values (called benefits or services) which may be necessary or added. These additional services differentiate the brands and may have determining influence on customer’s preferences. Within the “GLASOIL” project (ID CUP J77H18000280006) the research activity focused on the development of the new product (olive oil based dressing) as a whole through the evaluation of the basket of attributes. Once the main reference targets had been defined, the survey focused on the expectations and evaluations of potential customers with respect to the new product. Investigating consumer preferences, before a product is launched on the market, is fundamental for companies and makes it possible to reduce failure rates. Through the creation of a focus group, the preferences and opinions of potential consumers on a new olive oil-based condiment were investigated. From the results obtained, different combinations of packaging were elaborated, subsequently used as graphic stimuli to carry out tests with eye tracking, aimed at verifying the presence of possible weak points of the packaging before launching the product on the market. The results show that, for this specific type of product, consumers preferred a transparent package that makes the product visible inside, characterized by elegant lines and equipped with a drop breaking cap. On the label, on the other hand, consumers, in addition to the information required by law, wanted to see the origin of production and instructions on possible use. In conclusion, the analysis with eye tracking showed that images with elements such as a hand using the product, prove to be “winning”, as they attract the observer’s attention. Eye tracking analysis also confirmed that men and women look at the packaging and label differently.
Effect of a root dentin deproteinization protocol on self-adhesive cementation of fiber posts

Aim: This study evaluated the effect of a root dentin deproteinization protocol on the bond strength of fiber post cemented with self-adhesive resin cement. Materials and Methods: Twenty-four single-rooted teeth were randomly divided into two groups (n=12), as follows: G1 - cementation with self-adhesive resin cement RelyX U200 (3M/ESPE) according to manufacturer's instructions; G2 - treatment of root dentin with phosphoric acid at 37% for 15 s followed by sodium hypochlorite (NaOCl) at 5% for 5 minutes, and post cementation according to manufacturer's instructions. A light-emitting diode (LED) unit was used for photoactivation and after 24h at 37 °C in absolute humidity, teeth were sectioned into slices of 1 mm divided by different root thirds (cervical, middle and apical) and submitted to the push-out bond strength test. Two-criteria ANOVA was used to determine the statistical significance between groups (p<0.05). Results: No statistical difference in bond strength between group cemented as manufacturer's instructions and group submitted to deproteinization was detected (p>0.05). As well as there was no statistical difference between the different root thirds evaluated (p>0.05). Conclusions: The deproteinization protocol proposed was not able to improve the bond strength of self-adhesive cement to root dentin.
Factors Determining Consumers Intention to Shop Online in Greater Jakarta

Online shopping is increasingly becoming a favorite activity for city dwellers who are smartphones users as a means to fulfil their necessities. Increasingly, people obtain their needs through online shopping and retailers are working hard to increase their sales by winning consumers to shop at their online stores. In this paper, we investigate factors affecting consumer’s intention in online shopping in Greater Jakarta area. These factors includes trust, perceived risk, reference group, behavioral control awareness, business competency, usefulness and convenience, brand image, and promotion. 272 respondents participated in this survey and their responses were documented using Likert scales. After data collection, a Factor Analysis used to identify correlations between variables and Regression Analysis techniques were used to identify significant factors. Our research findings reveal that out of eight factors, four factors affect consumers’ intention to shop online. These factors, starting from the most significant, are promotion, brand image, usefulness and convenience, and business competency
Combined STM/AFM with functionalized tips applied to individual molecules: Chemical reactions, geometric structure and charge distribution

Scanning probe microscopy (SPM) methods allow for investigations of the atomistic world in real space. While scanning tunneling microscopy (STM) is sensitive to the electronic structure of the sample, its geometry can be explored by means of atomic force microscopy (AFM). Suitable functionalization of the AFM tip enables resolving the chemical structure of individual molecules at low temperatures in ultrahigh vacuum. Combining STM and AFM detection schemes in one setup facilitates simultaneous examination of the electronic and the geometric structure of single (molecular) adsorbates. This work employs SPM with functionalized tips on individual molecules in three topics: The capability of structure determination is widened to non-planar and strongly deformed molecules. The required information is deduced from either full three-dimensional data sets or from images along the adsorbed molecule’s symmetry planes that are perpendicular to the sample surface. On-surface chemical reactions are studied in great detail. For two exemplary cases, we investigate the reaction pathway of a thermally activated planarization reaction, and we examine the interplay of electronic and geometric structure in the tip-induced formation of a metalorganic complex. Finally, we use AFM to image the charge distribution in individual metal-organic molecules with polar bonds. Introducing a novel spectroscopy technique we resolve charge contrast along individual polar bonds.
Representing illness in medical melodramas on television: a qualitative content analysis of medical diagnoses in Grey’s Anatomy

This case study explored the representation of medical illness diagnoses on Grey’s Anatomy. Through the use of qualitative content analysis, we compared fictional medical diagnoses to publically available data on the rates of medical diagnoses within contemporary U.S. hospitals. We found that nearly half of the diagnoses made within our sample would be considered either rare, very rare, or extremely rare. Moreover, the most common medical diagnoses in contemporary U.S. hospitals account for a mere 6% of all diagnoses made on Grey’s. These findings extend and support prior observations that medical melodramas misrepresent the hospital context. Fictional portrayals of health care have the capacity to impact viewer expectations about real hospital care, and thus, our study adds to conversations involving the intersections between media representations and public health culture.
Spread das debêntures brasileiras: Uma aplicação da Modelagem de Equações Estruturais sob os direcionadores de covenants brasileiros

This article identified which are the constructs formed from the covenant drivers that exert effect under the Spread of debentures issued by Brazilian companies listed in Brazil, Bolsa and Balcão, in the period from 2010 to 2018, under the hypothesis that covenants have informational content and may influence the valuation of debentures. The sample consists of 225 primary debenture issues from Brazilian companies. The drivers of covenants were identified from the reference forms of the companies and the other variables of this study were obtained by consulting the electronic addresses of the companies issuing debentures, in the National System of Debentures (SND) and in the Economatica database. For the spread of debentures, four measurement perspectives were based on a standard measure, called by Spread_G and three other measures according to the indexers: DI, DI + % and IPCA + %, denominated respectively by Spread_DI, Spread_DIMAIS and Spread_IPCAMAIS. The data were analyzed by structural equation modeling and the results suggest that two dimensions are relevant: Financial Performance, Equity and Debt Situation (DFSPE) for the spread_DIMAIS; and Debt Commitment (CD) for spread_DIMAIS and spread_DI and are measures that influence the spread of debentures and also in the function of reducing agency conflict. Therefore, investors and other interested in the assessment of debentures should consider these measures during the risk and return assessment process.
Early incidence of deep venous thrombosis and its early marker after knee arthroscopy: A retrospective study with routinely applied ultrasonography

Background: To (1) investigate the early incidence of deep venous thrombosis (DVT) after knee arthroscopy at a single institution and (2) determine the early marker for DVT in these patients.Methods: The records of patients who underwent knee arthroscopy in our department between January 2018 and October 2019 were reviewed. Ultrasonography was performed for each patient at 24h preoperative and 72h postoperative. The low-molecular-weight-heparin (LMWH) was routinely used as thromboprophylaxis on the first day postoperative after 1st January 2019. Preoperative and perioperative data were collected with respect to demographic data, medical history, medications, and surgical and anesthesia data. Chi-square test or Student t test was used to preliminarily screen out suspected risk factors. Then, multiple logistic regression analysis was utilized to further determine the risk factors of DVT after knee arthroscopy.Results: During the study period, 272 patients were reviewed. Among these patients, 21 cases of DVT occurred, resulting in an incidence of 7.7%, two (0.74%) of which were identified as symptomatic thrombosis. The incidence of DVT in the anticoagulant group was 7.9%, and 7.4% in the non-anticoagulant group, respectively. The use of low molecular weight heparin postoperative did not reduce the incidence of DVT after knee arthroscopy. An increased D-dimer level could be an early marker for an elevated risk of postoperative DVT. No association between different arthroscopic procedures and thrombotic events. And the tourniquet time are not related risk factor.Conclusions: In this study, the early incidence of DVT after knee arthroscopy was 7.7%. Symptomatic DVT was rare and occurred infrequently. The incidence of DVT within three days could not be reduced by using LMWH, and a high D-dimer level was an early marker for DVT after knee arthroscopy.
PENYEBARAN TEKNOLOGI KONSERVASI LAHAN KERING MELALUI PEMUKA PENDAPAT DI KABUPATEN BANTUL PROPINSI DAERAH ISTIMEWA YOGYAKARTA (THE DISSEMINATION OF DRYLAND CONSERVATION TECHNOLOGY BY OPINION LEADERS IN BANTUL DISTRICT, YOGYAKARTA)

The research aims to know the dissemination of conservation technology by opinion leaders, extension agents, and the media. Primary data collecting was done through interviews of 60 samples. Data analysis was conducted with ANOVA. The research reveals that dissemination of conservation technology at higher levels and the role of opinion leaders are more influential to the diffusion level of conservation technology than those of extension agents and the media. Keywords : the role of opinion leaders, dissemination, dry land conservation technology localization quotient, income surplus.
Effect of Various Grades of Exercise on Serum Cortisol

Increasing incidence and prevalence of chronic diseases are mostly due to improving socio-economic statusand changes in modern lifestyles, including diets which are high in salt, sugar, and undesirable fats anddecrease in physical activity levels in Indian population. The present study evaluates the effect of variousgrades of exercise on serum cortisol in healthy young Indian adults. The objective of the study was toevaluate the pre and post exercise changes in serum cortisol levels. A total 56 healthy First year MBBSstudent’s age between 18-27 yrs of either sex were taken at G.S. V.M. Medical College Kanpur. The subjectswere treated with moderate and heavy exercise. Pre-exercise determination of serum total cortisol of all thesubjects was done. Post-exercise determination of serum total cortisol of all the subjects after duration ofone week and 12 weeks of exercise was done. After completion of 12 weeks of exercise a comparison wasmade between pre and post exercise values of total serum cortisol. Statistical Analysis was done by pairedstudent ‘t’ test and 95% level of confidence was taken significant (p<0.05). Results indicated that Serumcortisol varies with different grades of exercise and there was slight increase in serum cortisol concentrationafter moderate exercise but it was of not very much significance. There are some divergent findings alsoand most literature has cited that an approximate 60% exercise intensity threshold is necessary to elicit asignificant increase in blood cortisol.Thus, according to our study, there is correlation of the serum cortisollevels according to the different grades of exercise.
Unsupervised Domain Adaptation for Natural Language Processing

The purpose of this diploma dissertation is to study unsupervised domain adaptation for natural language processing applications and specifically for the problem of sentiment analysis. In the domain adaptation problem there is data coming from two distributions, one source domain and one target domain, while labels are only available for the source domain. The aim is learning, by using data from both domains, a model with good generalization on examples belonging to the target domain. In this dissertation we first study the theoretical background of machine learning, at the level of architectural models, training algorithms and learning techniques. Then we cover the background of developments in the subject of natural language processing, making a reference to word vectors, language models and finally to pretrained language models and BERT (Bidirectional Encoder Representations from Transformers). To solve the domain adaptation problem, the literature has proposed a variety of approaches. These are divided into three main categories, those that seek to first learn the common features (pivots) between domains, those that develop models following domain adversarial training and finally the category of data-based approaches which usually seek either to learn pseudo-label for the target domain or the use of pretrained language models. In the present work we propose a new approach to achieve domain adaptation, based on BERT. It consists of two steps. The first step is the continuation of pretraining through masked language modeling on the data derived from the target domain. On a final fine-tuning step we learn the task on source labeled data, while we keep an auxiliary masked language modeling objective on unlabeled target data. The experimental part of this work includes a set of comparative experiments between the proposed method, and a set of previous methods and baselines. The experiments are conducted on the multi domain (books, movies, electronics, kitchenware) sentiment analysis Amazon reviews dataset. The results of the above experiments show a significant improvement in the accuracy of the proposed method compared to the previous state-of-the-art. The work also includes an analysis of the results and visualization of the features that are extracted and used for classification in each case. Finally, we discuss the limitations of the dominant approach of domain adversarial training, based on the the relevant learning theory from different domains and our experimental observations.
Mixed-mode instruction using active learning in small teams improves generic problem-solving skills of university students

ABSTRACT The importance of advancing the ‘employability skills’ of students throughout their undergraduate education has been increasingly recognised by students and university instructors. Development of these essential skills is hindered by the lack of widely available assessment tools and shortage of detailed descriptions of effective instructional strategies. Evidence supports use of active learning in small groups for advancement of several transferable soft skills, including teamwork, critical-thinking and problem-solving skills (PSS). In this study, a previously reported testing strategy was used to measure the progress of generic PSS of students taking a one-semester, final-year undergraduate biochemistry course. Mixed-mode delivery based on a ‘flipped classroom’ approach allowed introduction of significant active learning components, including problem-based learning (PBL) in small teams (seven–eight students), workshops, bonus testing and lectures. Detailed descriptions of the instructional techniques used together with the Covid-19 pandemic-forced transition to fully online tutor-less PBL are provided. Data collected over two consecutive years demonstrate statistically significant improvement in the PSS test scores for the 89 students taking this course. Marks of students obtained in three different assessments (examinations, peer evaluations and PSS tests) are compared, revealing medium to low correlation. The benefits resulting from introducing active learning techniques and multiple assessments in undergraduate classes are discussed.
Comparison and Behavioral of the Breast, Formula and Mix Feeding Related to Infant Health from Birth Up to One Year

The multitude of health organization recommended that breastfeeding as the significant configuration of nutrition for infants throughout the first 12 months of life, most momentously they are consistent exclusively breastfeed for the first 6 months of life. The aim of this study was the evaluations of breast milk and formula milk connected to infant health from birth up to one year of age as well as to find the developmental nourishing of the baby through this time followed by the period of supplementary feeding. The cross-sectional study was carried out randomly including 200 babies (boys=89, girls=111), in the Halabja Hospital sector of pediatric health. Nutritional status was determined by weight for age, weight for height and height for age calculating according to the National Center for Health Statistics chart. The data were analysed by SPSS version 22. There was a significant difference between weight and height, the statistical results show the p-value was 0.02 for weight and 0.001 for height, for infant girls during the period of the last three months compared to the boys. However, no significant difference in weight and height in the first nine months of life in both boys and girls. Also, the highest rate of breastfeeding is observed among low educated or no-educated mothers compared to highly educated and employed. However, the educational level of most mothers high but, unfortunately, they are not following the recommended guidelines for breastfeeding during the first 12 months of life. In conclusion, exclusive breast milk for a new born is the best recommended, and it is regularly sufficient for the first six months of life. The amount and quality of supplementary food are significant to assure good health and improvement. Complementary and type of feeding were the most difficult part of feeding among all moms, related to wrong traditional behaviours.
Simultaneous Material Microstructure Classification and Discovery via Hidden Markov Modeling of Acoustic Emission Signals

Acoustic emission (AE) signals have been widely employed for tracking material properties and structural characteristics. In this study, we aim to analyze the AE signals gathered during a scanning probe lithography process to classify the known microstructure types and discover unknown surface microstructures/anomalies. To achieve this, we developed a Hidden Markov Model to consider the temporal dependency of the high-resolution AE data. Furthermore, we compute the posterior classification probability and the negative likelihood score for microstructure classification and discovery. Subsequently, we present a diagnostic procedure to identify the dominant AE frequencies that allow us to track the microstructural characteristics. Finally, we apply the proposed approach to identify the surface microstructures of additively manufactured Ti-6Al-4V and show that it not only achieved a high classification accuracy (e.g., more than 90%) but also correctly identified the microstructural anomalies that may be subjected further investigation to discover new material phases/properties.
ANALISIS PENGARUH FLYPAPER EFFECT PADA DANA PERIMBANGAN DAN PENDAPATAN ASLI DAERAH TERHADAP BELANJA DAERAH DI PROVINSI SUMATERA UTARA

Fiscal decentralization is a form of financial autonomy provided by the central government to local governments. The existence of a fund transfer for the regional government is funding in the implementation of government functions and carrying out the function of security while the source of income is expected to be from locally-generated revenue. But in reality, fiscal transfers are the primary source for local governments to finance local expenditures. The research used data from 2013-2018 and used the quantitative research method using the panel regression method. The result of this study indicates that of the three models used, total expenditure, education sector public expenditure, and health sector public expenditure, the flypaper effect occurs. This result has the effect that each increase in the balanced fund will encourage total expenditure, education sector public expenditure, and health sector public expenditure. The increase in public expenditure is expected to improve public services, which in turn can improve the welfare of the people in the districts and cities in the North Sumatra Province.
Antioxidant and Photoprotective Metabolites of Bunodophoron melanocarpum, A Lichen from the Andean Páramo

Background: Oxidative stress caused by exposure to ultraviolet radiation has been associated with dermal problems, including skin cancer. In this study, we determined the photoprotective and antioxidant activity of isolated metabolites from the lichen Bunodophoron melanocarpum (Sphaerophoraceae) to find new sunscreens prototypes. Methods: The constituents of B. melanocarpum were isolated by phytochemical methods and their structures were determined by spectroscopy (IR, 1D and 2D NMR). Antioxidant activity was measured by scavenging DPPH free radicals (EC50), ferric reducing power (FRP), and inhibition of lipid peroxidation (% ILP). The photoprotective capacity against ultraviolet(UVA and UVB) radiations was determined in vitro by calculating their sun protection factor(SPF), critical wavelength and UVA ratio and these values were compared against commercial sunscreens. The lipophilicity and possible skin penetration to the lipid-rich stratum corneum of the isolates, was determined by calculating their octanol/water partition coefficients (Log P) and Gibbs free energy of transfer (ΔtG0 ). Results: Sphaerophorin (1), everninic acid (2), sphaerophorol carboxylic acid (3) and friedelin(4) were isolated from B. melanocarpum. Orsellinic acid-type compounds 1 and 3 are dual agents with antioxidant capacity as free radical scavengers (EC50= 0.0857 and 0.1828 mol compound /mol DPPH•, respectively) and photoprotective properties particularly against UVB radiation(SPF 25.78 ± 0.53 and 22.00 ± 1.03, respectively). In addition, they had lipophilicity (Log P 7.07 ±0.64 and 4.03 ± 0.32, respectively) and ΔtG0 (-40.32 ± 3.67 and -22.97 ± 1.82 kJmol-1, respectively)suitable to act on the skin. Conclusion: Sphaerophorin (1) and sphaerophorol carboxylic acid (3) are dual agents with antioxidant and UVB photoprotective properties and are also lipophilic substances that spontaneously would diffuse across the skin.