Miracle-dz/UniFAR-FTUs huggingface dataset:
The best language stereotype threat

This work should be seen as a pilot study of the effect that the common-sense based statement that one understands and learns best in their best language has on pupils in Swedish schools. A number of students have been given a mathematical test in the language they use for their normal school activities, and that is not their mother tongue. Some of them (approximately 50%) were led to believe this particular test to be language fair. Their average score on the test has then been compared to the average score on the same test of the remaining 50% students who considered the test a normal one. The difference in performance between the two subgroups has been interpreted with the help of the concept of stereotype threat. This pilot study showed a trace of the hypothesised best language stereotype threat in a specific group of students and will hopefully serve as a guide for a larger work that could prove (or falsify) the existence of the best language stereotype threat with statistical certainty, extend its range of applicability to a wider group of students and establish its size as compared to other related factors. A final caveat: This study is focussed on (and relevant only for those) students that perform their school activities in a language different from their mother tongue but that are fully operational in the teaching language.
Profiling of User Satisfaction Level toward Ciputra Information System (CIS)

This study aims to determine the average level of user satisfaction toward an information system named Ciputra Information System (CIS) which used by Universitas Ciputra on daily basis. There five dimensions used in this study to measure the satisfaction level of users toward CIS; which is Competence of e-Service Support Staff, System availability, Service Portfolio, Responsiveness, and Reliability. The analytical tool used in this study is descriptive statistics and supported by phenomenology. The population in this study are clustered in three group; they are students, lecturers, and operational staffs. The cluster sampling method are used for the clustered population to obtain the statistics data through the questionnaire. The level of satisfaction for each sample group is 3.99 for students, 3,705 for lecturers, and 3,838 for non-lecturer staff with an overall average score of 3,844. There are only two factors that get an average above 4,0; namely Competence of e-Service Support Staff and System availability. Keywords: Satisfaction Level; Information System (IS); IS Performance
Young adults' partner preferences and parents' in‐law preferences across generations, genders, and nations

To examine cultural, gender, and parent-child differences in partner preferences, in eight countries undergraduates (n=2,071) and their parents (n=1,851) ranked the desirability of qualities in someone the student might marry. Despite sizable cultural differences-especially between Southeast Asian and Western countries-participants generally ranked kind/understanding (reflecting interpersonal communion) highest, and intelligent and healthy (reflecting mental/physical agency) among the top four. Students valued exciting, attractive partners more and healthy, religious partners less than parents did; comparisons with rankings by youth in 1984 (i.e., from the parents' generation) suggested cohort effects cannot explain most parent-child disagreements. As evolutionary psychology predicts, participants prioritized wives' attractiveness and homemaker skills and husbands' education and breadwinner skills; but as sociocultural theory predicts, variations across countries/decades in gendered spousal/in-law preferences mirrored socioeconomic gender differences. Collectively, the results suggest individuals consider their social roles/circumstances when envisioning their ideal spouse/in-law, which has implications for how human's partner-appraisal capabilities evolved.
Energy Dissipation, Microstructure and Hardening in Cryogenic Machining

The effects that flood-type cryogenic cooling have on the machining of copper are investigated. Strains of 1-7, strain rates of 1 to 1000 per second and temperatures as low as 77K were used to determine the interactive effects that deformation parameters have on energy dissipation, evolution of microstructure and mechanical properties. It is shown that deformation temperature and strain had the strongest influence on the energy dissipated, while strain rate had a somewhat less significant contribution. Furthermore, a range of severe plastic deformation (SPD) microstructures were developed in the deformed copper depending on the conditions used these include cellular, elongated, equiaxed and twinned types. These microstructure have direct consequence for understanding the resulting microstructures of the machined surface. These observations offer insights for developing an understanding of the effects that cryogenic cooling have on the energetics of processing, as well on surface integrity.
Long Term Behavior for a Class of Stochastic Delay Lattice Systems inXρSpace

In this paper, we focus on the asymptotic behavior of solutions to stochastic delay lattice equations with additive noise and deterministic forcing. We first show the existence of a continuous random dynamical system for the equations. Then we investigate the pullback asymptotical compactness of solutions as well as the existence and uniqueness of tempered random attractor in space. Finally, ergodicity of the systems is achieved.
Effect of Celebrity Endorser Through Social Media on Organic Cosmetic Purchasing Intention Mediated with Attitude

A rapid information and communication technology development results in the change of community’s lifestyle in online shopping. Online marketing strategy should be taken to improve organic cosmetic purchasing intention through Instagram, one of which is to use celebrity endorser in advertisement. Considering Theory of Planned Behavior, this research employed purchase intention, attitude toward advertisement, trustworthiness, expertise, attractiveness variables. The objective of research was to find out the effect of celebrity endorser on attitude toward advertisement and organic cosmetic purchase intention through Instagram. Technique of collecting data used was Google form through social media, Instagram. This research employed Structural Equation Modeling (SEM) with Maximum Likelihood estimation model. The result of analysis on 200 respondents showed that there is a positive effect of celebrity’s trustworthiness, celebrity’s expertise, celebrity’s attractiveness on Attitude toward advertisement and organic cosmetic purchase intention through Instagram. In addition, attitude toward advertisement serves as imperfect mediation of celebrity’s trustworthiness, celebrity’s expertise, celebrity’s attractiveness and purchase intention. Keywords: Celebrity endorser; Trustworthiness; Attractiveness; Expertise; Theory of Planned Behavior; Attitude Toward Advertisement; Purchasing Intention; Organic Cosmetic; Social Media
Historical CO2 emissions from land-use and land-cover change and their uncertainty

Abstract. Emissions from land-use and land-cover change are a key component of the global carbon cycle. Models are required to disentangle these emissions and the land carbon sink, however, because only the sum of both can be physically observed. Their assessment within the yearly community-wide effort known as the Global Carbon Budget remains a major difficulty, because it combines two lines of evidence that are inherently inconsistent: bookkeeping models and dynamic global vegetation models. Here, we propose a unifying approach relying on a bookkeeping model that embeds processes and parameters calibrated on dynamic global vegetation models, and the use of an empirical constraint. We estimate global CO2 emissions from land-use and land-cover change were 1.36 ± 0.42 Pg C yr−1 (1-σ range) on average over 2009–2018, and 206 ± 57 Pg C cumulated over 1750–2018. We also estimate that land-cover change induced a global loss of additional sink capacity – that is, a foregone carbon removal, not part of the emissions – of 0.68 ± 0.57 Pg C yr−1 and 32 ± 23 Pg C over the same periods, respectively. Additionally, we provide a breakdown of our results' uncertainty following aspects that include the land-use and land-cover change data sets used as input, and the model's biogeochemical parameters. We find the biogeochemical uncertainty dominates our global and regional estimates, with the exception of tropical regions in which the input data dominates. Our analysis further identifies key sources of uncertainty, and suggests ways to strengthen the robustness of future Global Carbon Budgets.
Laboratory studies of fresh and aged biomass burning aerosols emitted from east African biomass fuels – Part 1 – Optical properties

An accurate measurement of the optical properties of aerosol is critical for quantifying the effect of aerosol on climate. Uncertainties persist and results of measurements vary significantly. Biomass burning (BB) aerosol has been extensively studied through both field and laboratory environments for North American fuels to understand the changes in optical and chemical properties as a function of aging. There is a need for a wider sampling of fuels from different regions of the world for laboratory studies. This work represents the first such study of the optical and chemical properties of wood fuel samples commonly used for domestic purposes in east Africa. In general, combustion temperature or modified combustion efficiency (MCE) plays a major role in the optical properties of the emitted aerosol. For fuels combusted with MCE of 0.974±0.015, which is referred to as flaming-dominated combustion, the single-scattering albedo (SSA) values were in the range of 0.287 to 0.439, while for fuels combusted with MCE of 0.878±0.008, which is referred to as smoldering-dominated combustion, the SSA values were in the range of 0.66 to 0.769. There is a clear but very small dependence of SSA on fuel type. A significant increase in the scattering and extinction cross section (with no significant change in absorption cross section) was observed, indicating the occurrence of chemistry, even during dark aging for smoldering-dominated combustion. This fact cannot be explained by heterogeneous oxidation in the particle phase, and we hypothesize that secondary organic aerosol formation is potentially happening during dark aging. After 12 h of photochemical aging, BB aerosol becomes highly scattering with SSA values above 0.9, which can be attributed to oxidation in the chamber. Aging studies of aerosol from flaming-dominated combustion were inconclusive due to the very low aerosol number concentration. We also attempted to simulate polluted urban environments by injecting volatile organic compounds (VOCs) and BB aerosol into the chamber, but no distinct difference was observed when compared to photochemical aging in the absence of VOCs.
A Framework for Combining Acoustic and Textual Features in Sentiment Analysis

— Sentiment analysis has been used in widespread applications which helps the customers to analyze product qualities and helps the business people in customer retention, product promotions and customer behavior analysis. Traditionally textual features has been used for sentiment analysis. But, textual features alone cannot capture the deep emotions of customers particularly when customer’s response is in the form of voice. In this paper, a method has been proposed for combining acoustic features and textual features for performing sentiment analysis on customers’ voice response. The proposed method, extracts potential acoustic features that represent various emotions of customers speaks about products. These acoustic emotion features are combined with lexical sentiment features and used in supervised classifier to predict the sentiments of customers. The audio speech data set prepared from Amazon product reviews by trained actors has been used for the purpose of experimental evaluations.
EVALUACIJA PRIMENLJIVOSTI PONTOVOG INDEKSA U SRPSKOJ POPULACIJI EVALUATION OF APPLICABILITY OF PONT'S INDEX IN SERBIAN POPULATION

Uvod: Primena Pontovog indeksa u ortodontskoj dijagnostici koristi se za predviđanje idealne širine zubnog luka, neophodne za smeštaj zuba bez teskobe, pravilnu okluziju i postizanje stabilnih rezultata terapije. Cilj : ove studije bio je utvrditi primenljivost Pontovog indeksa u srpskoj populaciji i uporediti dobijene rezultate sa rezultatima ispitivanju u drugim populacijama. Materijal i metode: Analizirano je 200 studijskih modela osoba srpskog porekla (100 osoba muškog pola i 100 osoba ženskog pola). Svi ispitanici su bili sa klasom I po Angleu, bez prethodnog ortodontskog tretmana. Merenje je izvršeno pomoću digitalnog nonijusa (preciznost od 0,01 mm). Izmerene su meziodistalna širina maksilarnih stalnih sekutića, kao i interpremolarna i intermolarna širina maksilarnog luka. T-testom je uporedjena vrednost standardnog Pontovog indeksa i Pontovog indeksa dobijenog u istraživanju, kao i razlike dobijenih vrednosti izmedju polova. Određen je Pearsonov koeficijent korelacije između izmerenih i vrednosti širine zubnih lukova dobijenih korišćenjem Pontove formule. Rezultati: Rezultati ispitivanja pokazali su da su vrednosti za interpremolarnu i za intermolarnu širinu luka, izmerene na studijskim modelima pacijenata kod oba pola, manje nego vrednosti koje su dobijene primenom Pontove formule (p<0,001). Pearsonov koeficijent korelacije izmedju izmerenih vrednosti širine luka i vrednosti širine luka prema Pontovoj formuli pored visoke korelacije pokazuje statitički značajnu razliku (p<0,001). Zaključak: Dobijeni rezultati ukazuju da Pontov indeks nije primenljiv u srpskoj populaciji, te da su potrebni prilagodjeni populaciono specifični standardi za ovu dijagnostičku metodu.
Deep Unsupervised 4-D Seismic 3-D Time-Shift Estimation With Convolutional Neural Networks

We present a novel 3-D warping technique for the estimation of 4-D seismic time-shift. This unsupervised method provides a diffeomorphic 3-D time shift field that includes uncertainties, therefore, it does not need prior time-shift data to be trained. This results in a widely applicable method in time-lapse seismic data analysis that is not implicitly biased by supervised time-shifts from other methods. We explore the generalization of the method to unseen data both in the same geological setting and in a different field, where the generalization error stays constant and within an acceptable range across test cases. We further explore upsampling of the warp field from a smaller network to decrease computational cost and see some deterioration of the warp field quality as a result. This method provides an accurate 3-D seismic registration method, where the heavy computation can be preexecuted and the inference of the network taking seconds on consumer hardware.
Effect of Moringa oleifera intake on productive and toxicological parameters in broiler chickens

Poultry farming is common in rural Mexico in part because it provides extra household income. Alternative protein sources for poultry feed are needed for these systems. An evaluation was done of how 10% inclusion of Moringa oleifera leaf in diets for broilers affected productive and blood parameters. A proximal analysis, and Fe, Ca and tannins contents were quantified for moringa leaf flour. Four productive and six blood parameters (two proteins and four enzymes) were evaluated in Ross-308 broilers. Histopathological analyses were done of liver and kidney tissue. The moringa leaf flour contained 33.4% protein, and had high iron (19.7 mg/100 g) and calcium (2593.3 mg/100 g) contents, as well as low tannins content (24.4 mg CE/100 g). Compared to a control, daily weight gain decreased 12 % in the moringa leaf treatment while productivity index values decreased 20%. No differences were observed between the control and treatment in terms of protein content, and alanine aminotransferase and aspartate aminotransferase activities. However, differences in albumin, alkaline phosphatase and the glutamyl transpeptidase Rev Mex Cienc Pecu 2019;10(4):1013-1026 1014 levels suggest possible liver and renal damage in the moringa leaf treatment. These results were not confirmed in the histological analysis. Further research is needed using lower moringa leaf flour inclusion levels to compare to the present results and better define possible inclusion levels in poultry diets.
Efficacy of an Airway Management Educational Primer for Perianesthesia Nursing Staff

It is a requirement of perianesthesia nurses to be competent in caring for patients who are sedated or anesthetized for procedures in a hospital setting. Oftentimes, when patients are sedated, they are unable to maintain their own airways. This can lead to respiratory decompensation of the patient if interventions are not employed. Therefore, perianesthesia nursing requires expert advanced airway assessment and management skills or training to achieve competency. A review of related studies on continuing education of nurses reveals that trainings are beneficial in the realms of knowledge acquisition, practice change, and perceived self-efficacy. The primary purpose of this project was to evaluate the efficacy of such an educational training on knowledge gained utilizing a pre/post-test method of assessment. A secondary aim was to measure if there was a reduction in skill-related anxiety of the nurses following the training utilizing a short-form of the State-Trait Anxiety Inventory for Adults. Long-term follow up of both knowledge gained and anxiety levels was performed at a six-month interval after the initial training. The findings between the initial knowledge and anxiety preand post-tests were both statistically significant (p<0.001). However, at the six-month interval, neither the knowledge gained nor reduction of anxiety remained significantly better compared to the initial pre-test. Nurse training and education is effective in increasing knowledge and self-efficacy, but long-term continuing education may be necessary to maintain familiarity and competence with material.
Clustering of Words Based on Relative Contribution for Text Categorization

 Abstract — Term clustering tries to group words based on the similarity criterion between words, so that the groups can be used as the dimensions of the vector space in the text categorization. We proposed two new similarity criterions, which consider the relative contribution of one feature for one category relative to other categories and the difference between relative contributions of two features. We used the proposed methods in hierarchical clustering algorithm, and generated a compact and efficient representation of documents. The proposed methods are evaluated on three benchmark corpora (20-newgroups, reuters-21578 and industry sector), combined with two classification algorithms (Support Vector Machines, K-Nearest Neighbor), and compared with three similarity measures (weighted average KL divergence, City-block, Euclidean). The experimental results indicated that the performance of the proposed methods are comparative with the other methods when Support Vector Machines is used; the proposed methods significantly outperform Euclidean and City-block and achieve comparative performance with weighted average KL divergence when K-Nearest Neighbor classifier is used.
COMPARATIVE EVALUATION OF MULTIPLE STAINING TECHNIQUES FOR IDENTIFICATION OF DIFFERENT DEVELOPMENTAL STAGES OF ACANTHAMOEBA AND NAEGLERIA

Potentially pathogenic free-living amoebae (FLA) are unique protozoa that present a healthcare challenge. The appropriate choice of staining technique is crucial to improving the efficiency of microscopic diagnosis of FLA isolated from environmental as well as clinical samples. This study aimed to evaluate different staining techniques for morphologicalidentification of Acanthamoeba and Naegleria isolated from tap water samples in different localities in Assiut City, Egypt. A multi-attribute evaluation was performed to compare these techniques considering staining quality, ease of performance, cost and time of each procedure. Seven staining techniques were used including Lugol’s iodine and lactophenol cotton blue as temporary stains, with Giemsa, trichrome, iron hematoxylin, acid-fast and Gram stains as permanent stains. Both lactophenol cotton blue and Lugol's iodine showed good structural details of different stages of FLA and good contrast at a very short time and reasonable cost, followed by Giemsa. Both trichrome and iron hematoxylin stains gave comparable staining quality but at a longer time with more complex staining procedures and higher cost. Both modified acid-fast and Gram stains didn't provide sufficient staining quality to identify morphological details of FLA. According to the multi-attribute evaluation, both Lugol’s iodine and lactophenol cotton blue achieved the highest rank (92.85%) followed by Giemsa and Gram stains (64.28 %), modified acid-fast stain (57.14%), while iron hematoxylin and Masson’strichrome had the last rank (46.42%).
Role of Economic Growth, Financial Development, Trade, Energy and FDI in Environmental Kuznets Curve for Lithuania: Evidence from ARDL Bounds Testing Approach

This paper examines the long-run relationship between carbon dioxide (CO2) emission and economic growth, financial development, trade, energy consumption, and foreign direct investment in the case of Lithuania by employing time series data of 1989-2018. In particular, this paper aims to test whether the Environmental Kuznets Curve (EKC) relationship for economic growth and financial development holds or not. The autoregressive distributed lag (ARDL) bounds testing procedure is employed for the empirical analysis. The results validate the existence of EKC in the long-run as well as in the short-run since there is an inverted U-shaped relation between CO2 emissions and economic growth. Conversely, we could not validate the EKC relationship between CO2 emissions and financial development. Trade and energy consumption are other significant determinants of CO2 emissions. The causality analysis results show that unidirectional causality runs from economic growth to CO2 emissions and trade to CO2 emissions. The validity of the EKC hypothesis indicates that Lithuania can achieve short-term, medium-term, and long-term climate change mitigation and adoption goals and objectives approved by the Parliament of the Republic of Lithuania without deteriorating its economic growth.
Association between interleukin-36γ and tumor progression in non-small cell lung cancer

Immunotherapy is effective in improving the survival and prognosis of patients with non-small cell lung cancer (NSCLC), and identifying effective immunomarkers is important for immunotherapy. Interleukin (IL)-36γ is a novel immunomarker that has an important function in the antitumor immune response. The present study investigated the association between IL-36γ and NSCLC to provide novel insight into immunotherapy for patients with NSCLC. Tissue microarrays of lung adenocarcinoma and squamous cell carcinoma were purchased for immunohistochemical analysis of IL-36γ expression levels and clinical parameters. In addition, fresh clinical NSCLC and adjacent normal tissue samples were collected to analyze IL-36γ mRNA expression levels using quantitative PCR. IL-36γ protein was primarily located in the cytoplasm, with a small quantity in the nucleus, and IL-36γ mRNA and protein expression levels in lung cancer tissues were significantly higher compared with those in adjacent normal tissues. Elevated IL-36γ protein expression levels were significantly associated with a higher tumor grade of lung adenocarcinoma; however, IL-36γ mRNA expression levels were inversely associated with the clinical Tumor-Node-Metastasis stage in patients with lung squamous cell carcinoma. In addition, patients with adenocarcinoma with high IL-36γ protein expression levels tended to longer post-operative survival times. These findings indicate that IL-36γ may have potential as an immunomarker for prediction of tumor progression and survival in patients with NSCLC.