Miracle-dz/UniFAR-FTUs huggingface dataset:
Gamification as a Miracle Cure for Public History?

Gamification is on everyone’s lips. Moreover, the game-industry is booming. It reaches millions of players worldwide and seems to be the miracle cure for staging attractive history lessons and exhibitions. This trend is substantially changing the teaching of history, both in schools and in public. It is widely believed that whoever puts gamification into good practice is successful. But is this true? What do experiences show? And are there any limits to gamification when teaching history?
Enhanced Expression of Iba1, Ionized Calcium-Binding Adapter Molecule 1, After Transient Focal Cerebral Ischemia In Rat Brain

Background and Purpose—Iba1 is a novel calcium-binding protein and is specifically expressed in microglia in the brain. It has been suggested that Iba1 plays an important role in regulation of the function of microglia. In the present study we examined time-dependent Iba1 expression after transient middle cerebral artery occlusion and characterized microglial activation in various brain regions. Methods—Rat middle cerebral artery occlusion was induced by the intraluminal filament technique. After 1.5 hours of transient ischemia, Iba1 expression was examined by immunohistochemical and immunoblot analyses. The microglial activation in association with ischemic severity was characterized by double immunostaining with other specific markers. Results—In the peri-ischemic area, heavily Iba1 immunoreactive cells rapidly appeared at 3.5 hours after reperfusion. Immunoreactivity was further increased and peaked at 7 days. In the ischemic core, round Iba1-positive cells, which may be blood-borne monocytes, appeared.
PREVALENCIA DE DISPLASIA Y CÁNCER CERVICOUTERINO Y FACTORES ASOCIADOS EN EL HOSPITAL CENTRAL DE CHIHUAHUA, MÉXICO

Objective: The objective is to determinate the prevalence of cervical cancer and the risk factors related with cervical cancer. There is no investigation in Chihuahua that determines the prevalence of cervical cancer, moreover the risk factors, characteristics of cervix, gynecoobstetrical situation and the associated infections. Material and methods: using an observational and transversal study, this includes women which were subject to the cervical cytology in the Central Hospital of Chihuahua in the 2004. It was recollected demographic information, previous clinical cases and risk factors. The samples were processed by a cytologist and corroborated by a pathologist, not related whit the investigation objective, the cytology diagnostic was based on the NOM014-SSAZ-1994 (10) . It was defined like positive case to diagnostics of
Aerial Image Mosaic Algorithms Research Based on Global Mosaic

Research mosaic problem of aerial images to improve the accuracy of the image mosaic.When the overlapping part proportion in aerial images is not large,the traditional local image mosaicing algorithm can not implement the image mosaic effectively with smaller overlap areas in the aerial images,resulting in the low accuracy of aerial image mosaicing.This paper proposed an algorithm based on global vision.Through using the SIFT algorithm to extract SIFT feature points in the image,according to the principle of the minimum position error,the SIFT feature points matching of two images was finished.Then using the whole optimized method to optimize the finished mosaic image.Experiments show that the method can use the information of the whole image and accurately realize image mosaic.
Molecular Biomarkers of Colorectal Cancer: A Review of Published Articles From Iran

Context Colorectal cancer is one of the most common cancers worldwide (the third most common cancer in the world) and is especially more common in Western countries; however, its incidence has been increased significantly during the last few years in Eastern countries such as Iran and considered as one of the five common cancers in this country. According to molecular pathways, numerous biomarkers have been identified for colorectal cancers which help patients’ management. Evidence aquisition In this study, we tried to review published articles about the molecular biomarkers of colorectal cancer from Iran. We searched medical databases such as google scholar, Scopus, PubMed, Magiran, SID and Iran Medex for keywords of “colon cancer, KRAS, BRAF, mismatch repair gene, Microsatellite instability, molecular genetics, molecular pathogenesis, biomarker and Iran” to find studies published about colorectal cancers from Iran regarding molecular biomarkers. Conclusion This study showed that molecular biomarkers in colorectal cancer of Iranian patients are not so different from Western population.
Three methods of detail-preserving contrast reduction for displayed images

We are immersed in a world of high contrast scenes that we cannot directly reproduce in displayed images. Night scenes, sunny days and glaring reflections are filled with contrasts measured in ratios of thousands or millions to one, but we use display devices such as CRTs and printers with maximum contrasts measured in ratios of tens or hundreds to one. How can we reduce the large contrasts of a scene sufficiently for display yet still preserve the small contrasts of important scene details and textures made visible by local adaptation processes in human vision? This dissertation argues that we should first separate the scene into “large features” and “fine details” and then construct the displayed image by combining compressed large features and preserved fine details. Most previous contrast-reducing methods either avoid this separation and suffer some loss of fine details, or perform separations based on linear bandpass filter decompositions that introduce halo-like artifacts in displayed images. Borrowing from computer vision, physiology and visual psychophysics, this dissertation presents three new display methods for high contrast scenes. The layering method uses a new sigmoid-shaped function, similar to the response of film or retinal ganglia, to compress only the illumination components of a computer graphics rendering, preserving scene reflectances and transparencies as fine details. The foveal method interactively adjusts the displayed image for best reproduction in a small region centered around the user's direction of gaze. This “foveal” region is preserved as fine detail, and large peripheral features are compressed. The LCIS (Low Curvature Image Simplifier) method uses a variant of anisotropic diffusion to separate fine details from large features defined by scene boundaries and smooth shading. Only large, simple, but sharply-bounded scene features are compressed. Example images made from extremely high contrast scenes demonstrates how successfully each method captures visual appearance.
Evaluating one-to-one sessions of academic language and learning

Teaching individual students has been a core component of academic language and learning (ALL) work since its inceptio n in Australia in the 1980s. In the first decades the success of one-to-o ne teaching was largely reported in terms of the level of usage by students , and the quality of the learning assumed by high levels of usage. A systema tic approach to the evaluation of the effectiveness of one-to-one teach ing has presented challenges for ALL practitioners for a number of re asons. First, ALL work is positioned and constructed in different ways in dif ferent universities and, for the most part, sits outside their mainstream teachi ng evaluation processes. In addition, one-to-one teaching is only one aspect of a complex, multifaceted role which usually includes resource development, t eaching of groups and research. The commodification of university educat ion and the concomitant emphasis on “customer service” has blurred the diff erence between teaching and service delivery adding further challenges to e valuating the one-to-one practice. The literature on evaluation from the bro ader context of education and on some current ALL evaluation practices and discussions among ALL practitioners have been explored for insights into evaluating one-to-one teaching. As well, a study was undertaken to identi fy the criteria that students use to judge the effectiveness of ALL one- to-one teaching. Based on the findings of the review and the study, a prov isional framework for evaluating one-to-one practice has been developed a nd recommendations for its application suggested.
Relationship Between Gaze Behavior and Steering Performance for Driver–Automation Shared Control: A Driving Simulator Study

The driver steering performance is strongly related to gaze behavior in natural driving. The investigation of gaze behavior is crucial for understanding driver response to driver–automation shared control, which was developed to reduce the workload of drivers while keeping them in the control loop. This study focused on driver gaze behavior and its relationship to the steering performance when driving with different levels of shared control. Shared control was achieved through a haptic guidance steering system, which provided active assistant torques on the steering wheel. A driving simulator experiment was conducted with 15 participants, who drove five trials, each with a different level of shared control: first, no haptic guidance, second, normal haptic guidance, third, strong haptic guidance, fourth, having a driver's hands hovering over the steering wheel as a standby during automated driving, and, fifth, having a driver's hands free for a long time during automated driving. The results show a tendency that the correlation between gaze and steering movements decreased when the automation authority of shared control increased. A reduction in the lead time of gaze over steering movement was found in the condition of strong haptic guidance compared to normal haptic guidance and manual driving. This study suggests the potential of using the relationship between gaze behavior and the steering performance to analyze driver interaction with automation.
Caracterización de fracciones polifenólicas de la fresa y sus implicaciones tecnológicas

Comissao Europeia (Fundo Social Europeu) e Governo Portugues atraves do Programa PRODEP (III) - ref.a 5.3/N/199.006/00-Doutoramento; Fabrica de Dulces y Conservas Helios (Valladolid, Espanha).
Estimating time between creation and achievement of knowledge objects in learning groups through social network analysis

Networked collaboration performed over specific platforms designed for such purposes can provide knowledge about roles, intentions and effects regarding participants, their interaction among themselves and the interaction with the available knowledge objects. This study aims to propose a mechanism for discovering temporal behaviour underlying the raw data collected in log files from e-learning activity in specific platforms. The proposal is based on measuring and, subsequently, estimating time spans through social networks analysis (SNA). The main focus of this work is to match different temporal behaviours, shown during collaborative learning, with formal profiles identified inside a complex network of interactions. The final goal is to define a concrete mechanism to measure the response of participants, from the perspective that knowledge objects have been created by the partners in the same learning group.
Notice of Retraction College students' social anxiety associated with stress and mental health

OBJECTIVE: To explore the mediator effects of social anxiety on college students' life stress and mental health. METHODS: 1430 college students were tested by revised Adolescent Self-Rating Life Events Check List (ASLEO), General Health Questionnaire (GHQ12) and social anxiety scale chose from Self Consciousness Scale. RESUTL AND ANALYSIS: The college students' stressors were related to social anxiety and mental health. Social anxiety had intermediate effect on college students' stress and mental health. There were demographic differences between stressors, social anxiety and mental health. DISCUSSION AND CONCLUSION: The most popular stressors of college students included stress of punishment, stress of external expectation, stress of learning and living adaptation, stress of interpersonal relations, and stress of loosing relatives. Counseling related to social anxiety and training of stress management was able to help college students better their cognition of stress situation, moderate their social anxiety, and improve their mental health.
The Impact of Managed Care on the Moral Character of Rehabilitation Institutions

Recent developments in the organization of health care services and financing, usually subsumed within the category of managed care, seem to be altering the character of the providing institutions. The purpose of this presentation is (1) to clarify what managed care is and what the operating assumptions are of those who advocate for it; (2) to examine the impact of managed care, and the associated assumptions, on the character of and moral analysis within nongovernmental health care institutions; and (3) to suggest possible correctives to the negative aspects of managed care, while acknowledging the numerous benefits. The preferred corrective is the “community of care,” an institutional model based on value-centered organizational identity.
Hidden Information In Early Visual Processing

A definition of scale-specific structure follows from the work of Marr and Poggio on zero-crossings in gaussian-bandpass-filtered images. This paper presents several examples which illustrate the potential value of scale-specific structure for recognition, inspection, and correspondence related tasks. The suitability of the approach for practical systems is discussed, and a recent result suggesting the importance of this "hidden" information to human stereo vision is presented.
An architecture for intrusion detection using honey pot

The most common shortcomings in the existing intrusion detection systems (IDSs) are information overload, unknown attacks, false positives and false negatives. We present the design of AAIDHP (an architecture for intrusion detection using honey pot). This approach solves the problems previously mentioned. As a component, the honey pot cooperates with IDS, which increases flexibility, configurability and security of IDS. We also present the definition of the honey pot, the description of this approach and a discussion of design and implementation issues.
Habitat and Landscape Suitability as Indicators of Bird Abundance in Created and Restored Wetlands

We used aerial photography, field measurements, and bird surveys to evaluate 7 Ohio mitigation wetlands for their capacity to support avian guilds at both local and landscape scales. At the local scale, we assessed each wetland with habitat suitability indices (HSI) for eight wetland-dependent bird species as indicators for four guilds: wading, diving, dabbling, and emergent dependent. We characterized landscapes within 2.5 km of each wetland by measuring the buffer width, road density, connectedness, and anthropogenic land development. The changes in landscape variables over time were determined by comparison of aerial photos taken near the time of wetland construction and near the time of this study. Bird abundance data were poorly correlated with HSI scores but were well described with logistic models of buffer width, wetland area, and road density. Our results suggest that landscape variables are better predictors of bird abundance than HSI scores for these guilds in these wetlands.
Use of Social Media Marketing in Healthcare

Social media is an umbrella term that defines online technology and practices used to share opinion, insights, experience and perspectives. Social media are low cost marketing tools that help in facilitating the building of networks, instant dissemination of information and thus encouraging trust and confidence of public. It can take many forms like text, images, audio and video. According to Kaplan and Haenlein, there are six different types of social media: collaborative projects (e.g., Wikipedia), blogs and micro blogs (e.g., Twitter), content communities (e.g., YouTube, Flicker), social networking sites (e.g., Facebook, MySpace), virtual game worlds (e.g., World of Warcraft, Whyville), and virtual social worlds (e.g., Second Life). Based on this classification, extensive literature search was done from a range of sources like journals, books and internet websites of relevant disciplines, including public health organizations, hospitals and case studies prepared on each type exploring the use of social media in health promotion. The objective of this paper is to explain the use of social media marketing in health promotion and education and discuss various interventions done, using social media marketing tools in promoting public health. Finally, it is discussed like every coin has two sides, social media provides large opportunity for health promotion in the public health community, enabling public health professionals to reach out far and wide and directly to the public on multiple public health issues and at the same time its cautious use is imperative to prevent colossal damage. Social media, a communication boon for the public health community has the potential to promote and change many health-related behaviours and issues particularly in times of crisis.
Untersuchung zur Diagnose eines Magnesiummangels bei Intensivpatienten

AIM Magnesium deficiency was investigated in critically ill patients, comparing measurements of plasma concentrations with the results obtained by the magnesium tolerance test. DESIGN AND METHODS 20 critically ill patients (5 females, 15 males) between the ages of 27 and 86 were investigated. Magnesium plasma concentrations were determined before the magnesium tolerance test according to Ryzen was performed. For this purpose, magnesium sulfate (0.1 mmol/kg) was infused intravenously over four hours. Renal magnesium excretion was measured in the 24 h urine beginning at the start of the infusion. Magnesium concentrations in plasma and urine were determined using atomic absorption spectrophotometry. MAIN RESULTS In 12 patients magnesium plasma concentrations were decreased to 0.58-0.79 mmol/l. 6 patients showed values within the normal range of 0.80 to 1.0 mmol/l. In 2 patients the plasma concentration was increased to 1.07 and 1.27 mmol/l. Parenteral magnesium tolerance testing revealed a considerable magnesium deficiency by retention of 65-100% of the loading dose in 14 of the 20 patients. The remaining 6 patients retained 23-48% of the loading dose, thus demonstrating a moderate magnesium deficiency. CONCLUSION Determination of magnesium plasma concentration appears suitable as an informative preliminary survey, since low values are reliable indicating a magnesium deficiency. However, this study confirms that normal magnesium plasma concentrations do not exclude a considerable magnesium deficiency, which is more sensitively determined by the magnesium tolerance test.
The Application of Function Points to Predict Source Lines of Code for Software Development

Abstract : This research investigated the results of using function point analysis-based estimates to predict source lines of code (SLOC) for software development projects. The majority of software cost and effort estimating parametric tools are categorized as SLOC-based, meaning SLOC is the primary input. Early in a program, an accurate estimate of SLOC is difficult to project. Function points, another parametric software estimating tool, bases software cost and effort estimates on the functionality of a system. This functionality is described by documents available early in a program. Using a modeling methodology, the research focuses on function point's ability to accurately estimate SLOC in the military and commercial environments. Although a significant relationship exists in both environments, none of the models provided a goodness of fit. predictive capability, and significance level to make them acceptable models, especially noted in the variability of the estimates of SLOC. The need to use models developed in similar environments was made clear. The concept of function point to SLOC conversion tables was assessed and was justified. However, the conversion tables to be used should be based on similar programs developed in similar environments. Universally applicable function point to SLOC conversion tables were not supported by this research. Statistical analysis, Software engineering, Cost estimates, Cost models, Models, Function points, Software estimation.
Graph-Based Concept Clustering for Web Search Results

A search engine usually returns a long list of web search results corresponding to a query from the user. Users must spend a lot of time for browsing and navigating the search results for the relevant results. Many research works applied the text clustering techniques, called web search results clustering, to handle the problem. Unfortunately, search result document returned from search engine is a very short text. It is difficult to cluster related documents into the same group because a short document has low informative content. In this paper, we proposed a method to cluster the web search results with high clustering quality using graph-based clustering with concept which extract from the external knowledge source. The main idea is to expand the original search results with some related concept terms. We applied the Wikipedia as the external knowledge source for concept extraction. We compared the clustering results of our proposed method with two well-known search results clustering techniques, Suffix Tree Clustering and Lingo. The experimental results showed that our proposed method significantly outperforms over the well-known clustering techniques.
Measurement and Correlates of Child Mortality in Yemen

Child mortality is one of the most important indicators of a country’s general medical and health quality, and subsequently, the country’s level of socio-economic development. Yemen is one of the poorest countries in the Middle East and North Africa region and has a low Human Development Index (HDI), presenting high rates of child mortality. The objective of this paper is to calculate the rate of infant mortality and child mortality in Yemen and put into evidence some characteristics of households that may influence the rate of child mortality. The database that is used is the Yemen National Social Protection and Monitoring Survey (NSPMS). The Brass indirect method was used for calculating infant and child mortality rates, while Poisson regression was utilized for putting into evidence covariates that may affect mortality. According to the results of Brass indirect analysis, infant and child mortality rates are elevated in Yemen. Poisson regression puts into evidence the importance of mother education, quantity of water available, household economic situation and electricity in household in reducing child mortality. Yemen needs to increase the access to schools of population, particularly of girls, and improve the infrastructure of the country, mainly water and electricity supply, with the objective of further reduction of child mortality.
The division of the causative eventive chain by means of -ment and -age

In this paper I will investigate process and result nominals in -age and –ment, which are derived from verbs participating in the causative/anti-causative-alternation (henceforth labelled “alternating verbs”). First of all, it will be empirically shown that –mentnominals have both the anti-causative reading and the resultant state reading, whereas process nominals in –age focus on the causing process and result nominals in –age only appear in applicative constructions. Ehrich & Rapp (2000) assume that the causative eventive chain consists of a causing process and a change-of-state event that takes the resultant state as its situational argument. Following that, I will conclude from the empirical evidence that –ment nominalizes the change-of-state event, while –age nominalizes the causing process. Furthermore, I will model the relevant –age- and –mentnominals in terms of Lieber’s (2004) conceptual structures and discuss the question whether we may assume that –ment and –age introduce different aspectual operators.