Miracle-dz/UniFAR-FTUs huggingface dataset:
What is hidden in hidden curriculum? a qualitative study in medicine

The hidden curriculum is considered to be between the designed and experienced curricula. One of the challenges that medical educators face is to understand what students learn in real clinical settings. The aim of the present study was to answer this question: What is hidden in hidden medical curriculum? This study was a qualitative content analysis. Participants were selected through purposive sampling. Data collection was performed through unstructured interviews and continued until data saturation. Data were analyzed simultaneously with data collection using MAXQDA10 software. Data validity was confirmed based on the proposed Lincoln and Guba criteria. The main theme that emerged in this study was implicit learning. Professional ethics, spiritual, social and cultural issues, and clinical skills are the five major themes that were presented in this study. These themes and their subthemes are transferred during an implicit learning experience in hidden curriculum. Since a wide range of issues are mostly transferred by hidden curriculum, it is essential to have a dynamic approach to educational environments. This is especially important in clinical settings, as the process of learning is constantly happening in the backyard.
THE INFLUENCE OF THE ECONOMIC CRISIS ON THE IMPLEMENTATION OF HUNGARIANWASTE LEGISLATION

Hungarian environmental policy has made significant progress in the past 25 years. In environmental protection and nature conservation several decades lag had to be made up in a relatively short time. This could be successful due to the accession to the European Union in 2004. Our lag was the most significant in modern environmental infrastructure and environmental technology development. Large✁ scale industrial development forced by political considerations during the communist era was a major source of environmental pollution, and environmental investments and remediation fell short due to the lack of resources. As a result, some areas of the country became considerably polluted. The improper treatment of the waste and the pollution caused by it resulted in a catastrophic environmental situation by the end of the 1980s. Another problem was the lack of modern environmental policy and legislation. This was of course closely related to the lack of financing, because it is impossible to apply strict regulations without sufficient resources. The political pressure of the EU✁ accession extorted the transformation of the Hungarian environmental policy from 1990. In the course of the leagal harmonization the legislative background of environmental protection was created in line with the directives of the EU. It was a long and slow process, and the EU✁compliant environmental regulations has been established by 2002. The modernization of the regulation had not eliminated the shortage of resources. Because of the lack of adequate financing we were not able to meet the strict requirements set by the new legislation. Fortunately, the European Union not only imposes certain requirements, but also provides professional assistance and financial support to achieve the strategic goals. Right after the change of the political system in Hungary some EU funding was opened to us, resulting in investments in environmental protection infrastructure development. Thus, we could reduce the gap in 10 years after the accession in 2004. Since then the development of environmental policy and environmental legislation has been continuous. The last significant change was made in waste management, the new Waste Act of 2013. The financial crisis of 2008✁2009 has made a major impact on European and Hungarian economy. In my research I examined these unfavourable macroeconomic conditions: how and to what extent they influenced the implementation of the new national waste management regulations.
The Mating System of Caenorhabditis elegans: Evolutionary Equilibrium between Self- and Cross-Fertilization in a Facultative Hermaphrodite

A model accounts for the low mating efficiency of Caenorhabditis elegans males when raised with hermaphrodites in laboratory cultures and for the relative behavioral indifference of hermaphrodites to mating. It is suggested that the mating system of C. elegans may provide a test case for distinguishing among the several theories which attribute an evolutionary advantage to sexual reproduction.
Symbiotic specificity of tropical tree rhizobia for host legumes.

• The host range and specificity is reported of a genetically diverse group of rhizobia isolated from nodules of Calliandra calothyrsus, Gliricidia sepium, Leucaena leucocephala and Sesbania sesban. • Nodule number and nitrogen content was measured in seedlings of herbaceous and woody legume species after inoculation with rhizobial strains isolated from tropical soils, to establish symbiotic effectiveness groups for rhizobial strains and their hosts. • Specificity for nodulation and N2 fixation varied greatly among the legumes. Symbionts of all four legumes exhibited a wide range of promiscuity and symbiotic effectiveness with isolates of S. sesban having the narrowest host range. N2 fixation varied greatly; although some strains fixed large amounts of N2 with more than one host, none was effective with all hosts. Rhizobial isolates of C. calothyrsus, G. sepium and L. leucocephala were able to effectively cross-nodulate each others' hosts as well as a number of other species. • The complex nature of cross-nodulation relationships between diverse rhizobial strains and legume hosts is highlighted. Host plants inoculated with effective rhizobial strains showed better nitrogen use efficiency than plants supplied solely with mineral nitrogen.
Relationships between fish and supralittoral vegetation in nearshore marine habitats

1. This study was conducted to determine whether there were significant differences in the species richness and community composition of fish assemblages in coastal nearshore habitats with differing compositions of supralittoral vegetation. 2. We sampled fish assemblages and conducted supralittoral vegetation surveys at 27 beaches on the west coast of Vancouver Island, British Columbia. Thirteen of the beaches had supralittoral vegetation characteristic of old-growth coastal forests and 14 had been previously subjected to logging or other disturbances. 3. Physical features (e.g. substrate, salinity, etc.) were recorded at each beach to determine whether there were significant associations between supralittoral vegetation and beach characteristics as well as between beach characteristics and fish assemblages. 4. Across all 27 beaches, 1832 individuals of 31 species of nearshore fish were collected, primarily juvenile cottids and salmonids. Mean species richness did not differ between beaches with old-growth versus secondary-growth supralittoral vegetation; however, a higher cumulative number of species was found at beaches with old-growth supralittoral vegetation. 5. Canonical Correspondence Analysis (CCA) showed that beach characteristics and supralittoral vegetation were not significantly associated. Separate CCA for fish associations with beach characteristics and fish associations with supralittoral vegetation explained ∼55% of the variance in fish assemblage composition, suggesting that fish assemblage composition is significantly affected by substrate, submerged vegetation, and physico-chemical conditions as well as by the community composition of vegetation in adjacent supralittoral habitats. 6. Specifically, we found associations between supralittoral vegetation and penpoint gunnels (Apodichthys flavidus Girard), tidepool sculpins (Oligocottus maculosus Girard), Pacific staghorn sculpins (Leptocottus armatus Girard), arrow gobies (Clevelandia ios Jordan and Gilbert), shiner perch (Cymatogaster aggregata Gibbons) and kelp perch (Brachyistius frenatus Gill). Juvenile chum (Oncorhynchus keta Walbaum) and coho (Oncorhynchus kisutch Walbaum) salmon were strongly associated with supralittoral vegetation characteristic of mature coastal forests such as mosses and western red cedar (Thuja plicata) suggesting that some nearshore fish species may be affected by processes originating in terrestrial ecosystems. 7. Our results suggest that some nearshore fish species may be affected by removal of supralittoral vegetation. Copyright © 2006 John Wiley & Sons, Ltd.
Water-Soluble Antioxidant Potential of Melon Lines Grown in Turkey

The antioxidant potential of 42 melon (Cucumis melo) lines including six cultivars grown in Turkey was assessed by measuring total water-soluble antioxidant capacity, phenolic and vitamin C contents. The lines showed significant variability for all three antioxidant parameters with breeding lines having higher antioxidant capacity and phenolic content than some popular cultivars. Different types of melons also showed significantly different antioxidant potentials. Thus, galia and ananas types showed a higher mean antioxidant capacity and phenolic content than the other tested types (yuva, kislik, canary, and charentais). Correlation analysis between antioxidant parameters showed a significant correlation between water-soluble antioxidant capacity and phenolic content.
Developing artificial reefs for the mitigation of man-made coral reef damages in the Gulf of Aqaba, Red Sea: coral recruitment after 3.5 years of deployment

Abstract Human stresses on coral reefs have increased to levels threatening their existence on a global scale. In the Gulf of Aqaba, many coastal coral reefs have been damaged by human activities, while many others are threatened. To mitigate such negative impacts, we have constructed a state-of-the-art artificial reef and deployed it in the Gulf of Aqaba in December 2008. After 3.5 years, the data obtained have shown extensive coral recruitment rates on the deployed artificial reef. This was suggested to be due to the high structural complexity of the new AR design. The newly created habitat is expected to protect the natural reefs by reducing pressure on them. This strategy is expected not only to be of environmental value to the marine ecosystem, but also to enhance eco-tourism in the local community. Based on the results obtained, it is highly recommended to use artificial reefs for restoration purposes.
Assessing Modality Selection Heuristics to Improve Multimodal Deep Learning for Malware Detection

With the growing use of Android devices, security threats are also increasing. While there are some existing malware detection methods, cybercriminals continue to develop ways to evade these security mechanisms. Thus, malware detection systems also need to evolve to meet this challenge. This work is a step towards achieving that goal. Malware detection methods need as much information as possible about the potential malware, and a multimodal approach can help in this regard by combining different aspects of an Android application. Using multimodal deep learning, it is possible to automatically learn a hierarchical representation for each modality and to give more weights to the more reliable modalities. Multiple modalities can improve classification by providing complementary information, however, the use of all available modalities does not necessarily maximize performance. Multimodal machine learning could benefit from a mechanism to guide the selection of modalities to include in a multimodal model. This work uses a malware detection problem to compare multiple heuristics for this selection process. We have used three different heuristics approaches for selecting the modalities at each step - the maxDifference heuristic, the maxSimilarity heuristic, and the maxAccuracy heuristic. Our experiments show that selecting modalities with low predictive correlation works better than the other examined heuristics. Our result suggest we do not need to combine highly accurate unimodal models, but rather we need models that make different kinds of errors. This method is designed to improve the stability and accuracy of our malware detection algorithms while reducing the overall cost.
Differing Forage Fish Assemblages Influence Trophic Structure in Neighboring Urban Lakes

Abstract Lakes Sammamish and Washington are two large, urban lakes in close proximity to Seattle, Washington. The two lakes have similar assemblages of apex predators, but differences in lake size, species richness, and forage fish assemblages contribute to contrasting trophic relationships. We used stable isotope and diet analyses to assess lake-specific differences in the trophic structure of fish and invertebrates from these lakes. Estimates of δ15N-based trophic elevation revealed that the food web in Lake Sammamish was truncated by approximately one complete trophic level relative to that of Lake Washington. The shorter food chain in Lake Sammamish reflected the absence of longfin smelt Spirinchus thaleichthys and minimal consumption of threespine stickleback Gasterosteus aculeatus, emphasizing the importance of these species as primary forage fishes and trophic links between invertebrates and piscivores in Lake Washington. As two highly 15N-enriched and 13C-depleted energy sources, longfin smelt and.
Fast and Accurate Algorithm for ECG Authentication Using Residual Depthwise Separable Convolutional Neural Networks

The electrocardiogram (ECG) is relatively easy to acquire and has been used for reliable biometric authentication. Despite growing interest in ECG authentication, there are still two main problems that need to be tackled, i.e., the accuracy and processing speed. Therefore, this paper proposed a fast and accurate ECG authentication utilizing only two stages, i.e., ECG beat detection and classification. By minimizing time-consuming ECG signal pre-processing and feature extraction, our proposed two-stage algorithm can authenticate the ECG signal around 660 μs. Hamilton’s method was used for ECG beat detection, while the Residual Depthwise Separable Convolutional Neural Network (RDSCNN) algorithm was used for classification. It was found that between six and eight ECG beats were required for authentication of different databases. Results showed that our proposed algorithm achieved 100% accuracy when evaluated with 48 patients in the MIT-BIH database and 90 people in the ECG ID database. These results showed that our proposed algorithm outperformed other state-of-the-art methods.
BISAKAH MEMPEROLEH STATISTIK INDEKS HARGA KONSUMEN TINGKAT PROVINSI DI INDONESIA DENGAN KETELITIAN YANG LEBIH BAIK?

Statistik indeks harga konsumen (IHK) atau consumer price index (CPI) juga dibutuhkan pada tingkat provinsi di era desentralisasi saat ini. Ketika IHK ingin diduga pada tingkat provinsi, permasalahan ukuran contoh kecil (small area) muncul karena survei untuk menghasilkan IHK ini di Indonesia dirancang untuk tingkat nasional. Akan tetapi, informasi dari statistik IHK 82 kota dapat membantu untuk menduga IHK provinsi. Metode pendugaan area kecil atau small area estimation (SAE) dapat diterapkan sebagai solusi untuk meningkatkan ketelitian hasil pendugaan langsung. Pada penelitian ini IHK provinsi diduga menggunakan model Fay-Herriot (FH). Hasilnya menunjukan bahwa model FH dapat menghasilkan statistik IHK provinsi dengan ketelitian yang lebih baik dari pendugaan langsung. Hal ini ditunjukan dengan nilai average relative root mean square error (ARRMSE) penduga FH IHK provinsi yang lebih kecil dari penduga langsungnya.
Antigenic differences among aquareoviruses correlate with previously established genogroups.

ABSTFUCT: Five aquareoviruses, selected to include 1 from each of the 5 genogroups established by Lupiani et al. (1993; Virology 19? :4? 5-479), were compared by cross-neutralization and immunodot test procedures. Serological ratios by cross-neutralization were extremely high, demonstrating that the 5 selected strains correspond to 5 different serogroups. On the other hand, the ratios obtained from cross-immunodot test were much lower, and in some cases under 20. Results demonstrate that the serogroups determined by crossneutralization correlate w ~ t h the previously established genogroups of aquareoviruses
Teachers Are: Analyzing the Metaphors of Pre-Service Educators

Abstract Metaphors are often used by in-service educators to describe themselves and their work in the classroom. These metaphors can articulate in-service teachers’ fundamental dispositions and provide the vehicle for conceptualizing teaching practices. Pre-service educators (those engaged in preparation to enter the teaching vocation), however, are a different population for whom metaphors represent relatively untested assumptions about the classroom and the practices that pervade it. These metaphors should be considered an asset which, if effectively utilized, can aid in the work of teacher preparation. To that end, this study employed the Conceptual Metaphor Theory of Lakoff & Johnson (1980) within the propositional analysis framework of Steen (1999) to provide a generalizable approach to metaphor analysis that could be used in educator preparation programs.
Abordagem sobre o controle do carrapato Rhipicephalus (Boophilus) microplus no sul do Rio Grande do Sul

In the southern region of Rio Grande do Sul, cattle become infested with Rhipicephalus (B.) microplus mainly between October and April due to the climatic conditions. In addition to knowing its life cycle, knowledge of parasite's epidemiology is essential to establish management strategies. Epidemiological studies on resistance to acaricides in Rio Grande do Sul as well as in the rest of Brazil are scarce. Moreover, the large geographical area and the structural deficiency with respect to the use and access to databases make reliable data difficult to obtain. The present study surveyed the perception by cattle breeders in the southern region of Rio Grande do Sul in regards of identification of R. (B.) microplus populations that are difficult to manage using acaricides, as well as the risk factors for the selection of resistant tick populations. Tick management data on beef cattle in 85 properties of seven municipalities were collected. The results revealed that the difficulty in tick management correlated positively with levels of education of the farm owners (up to elementary school, OR = 3.67 and p = 0.01) and with the yearly number of acaricide applications (over four, with OR = 4.05 and p= 0.006). These results also suggest that properties with more than 100 beef cattle under extensive farming conditions in the southern region of Rio Grande do Sul show characteristics that may contribute to longer acaricide lifetimes as compared to other regions in the Country.
Automatic time series modeling and forecasting: A replication case study of forecasting real GDP, the unemployment rate and the impact of leading economic indicators

Abstract We test and report on time series modelling and forecasting using several US. Leading economic indicators (LEI) as an input to forecasting real US. GDP and the unemployment rate. These time series have been addressed before, but our results are more statistically significant using more recently developed time series modelling techniques and software. In this replication case study, we apply the Hendry and Doornik automatic time series PC-Give (AutoMetrics) methodology to the well-studied macroeconomic series, US. real GDP and the unemployment rate. The Autometrics system substantially reduces regression sum of squares measures relative to traditional variations on the random walk with drift model. The LEI are a statistically significant input to real GDP. A similar conclusion is found for the impact of the LEI and weekly unemployment claims series leading the unemployment rate series. We tested the forecasting ability of best univariate and best bivariate models over 60- and 120-period rolling windows and report considerable forecast error reductions. The adaptive averaging autoregressive model forecast ADA-AR and the adaptive learning forecast, ADL, produced the smallest root-mean-square errors and lowest mean absolute errors. Our results are greatly supportive of the significance for modeling and forecasting of the suggested input variables and they imply considerable improvements over all traditional benchmarks.
Autooscillatory Dynamics in a Mathematical Model of the Metabolic Process in Aerobic Bacteria. Influence of the Krebs Cycle on the Self-Organization of a Biosystem

We have modeled the metabolic process running in aerobic cells as open nonlinear dissipative systems. The map of metabolic paths and the general scheme of a dissipative system participating in the transformation of steroids are constructed. We have studied the influence of the Krebs cycle on the dynamics of the whole metabolic process and constructed projections of the phase portrait in the strange attractor mode. The total spectra of Lyapunov exponents, divergences, Lyapunov’s dimensions of the fractality, Kolmogorov–Sinai entropies, and predictability horizons for the given modes are calculated. We have determined the bifurcation diagram presenting the dependence of the dynamics on a small parameter, which defines system’s physical state.
Concept of a new method for continuous non-destructive control of asphalt road pavements compaction

The article deals with the research results of a concept for a new method of continuous non-destructive control of asphalt road pavements compaction based on the analysis of the vibration and force state of working bodies of road construction machines as well as the corresponding algorithm for data conversion and intelligent prediction of compaction quality. The definition of the concept “cyber-physical road construction system” is proposed. A scientific problem as well as the corresponding purpose and objectives of the study are formulated. The theoretical background of the continuous compaction control method for pavers is considered. The structure of the considered cyber-physical road construction system is determined.
Endothelial cell growth and protein adsorption on terminally functionalized, self-assembled monolayers of alkanethiolates on gold

The effect of specific chemical functionalities on the growth of bovine aortic endothelial cells (BAEC) was investigated using a set of well-characterized, chemically functionalized surfaces prepared by self-assembly of alkanethiolate monolayers on gold surfaces using the molecules X(CH2)15SH with X = −CH3, −CH2OH, −CO2CH3, and −CO2H. Cells seeded on a substrate in serum-containing culture medium interact with the adsorbed protein layer rather than the substrate. Therefore, the role of two serum proteins, albumin (Alb) (a nonadhesive or blocking protein) and fibronectin (Fn) (an adhesive protein), in cell growth was evaluated by measuring the amount of each protein bound and the tightness of binding (determined by resistance to SDS solubilization) on the self-assembled monolayers (SAMs). BAEC growth varied significantly with surface functionality. Cell growth increased in the following order: −CH2OH < −CO2CH3 < −CH3 ≪ −CO2H, illustrating the effect of specific surface groups. Cell growth on all monolayer.
Development of a chemically defined medium for growth of Bifidobacterium animalis

The growth of Bifidobacterium animalis was tested, under batch and continuous culture conditions, for dependence upon specific nitrogen compounds. The addition of nitrogen bases (adenine, santine, and guanine) to the medium containing acid-hydrolyzed casein significantly affected the growth of B. animalis, whereas no significant growth was reported when those bases were added to the medium containing only free amino acids; B. animalis was characterized by a μ max of 0.16/h when growth took place in PROLAB medium containing lactose and nitrogenous bases. Our study is potentially important toward design of improved infant milk formulations for healthy newborns.