Miracle-dz/UniFAR-FTUs huggingface dataset:
The Survival Of All Ceramic Crowns With A Zirconia Core (Lava™)

Background: Few studies have assessed the survival of restorations and particularly zirconia based crowns in the restoration of the severely worn dentition. This study aimed to determine survival and factors associated with failure in anterior teeth worn through to dentine restored with Lava™ crowns. Methods: A convenience sample of 30 participants (27 male, 3 female) had 161 Lava™ crowns placed by one specialist clinician in a hospital setting. Follow-up was over a median 72 month period. Results: Of the 161 Lava™ crowns only 25 failed (15.5%) in 15 individuals up to 84 months for the longest case. Major failures were total debond (N=7) or minor delamination chips within the veneer ceramic layer (N=18). The mean time to first failure was 25.23 months. The Kaplan Meier survival plot estimated the Mean Survival Time for the crowns to be 74 months (95%CI 70.4, 77.3). Failures by subject were not associated with an increase in Occlusal Vertical Dimension using a Dahl approach but were associated with an edge-to-edge incisal relation (p<0.05), attrition (p<0.05) and bruxism (p<0.005). Conclusion: The Kaplan Meier survival plot estimated the Mean Survival Time for the crowns to be 74 months. The high loads in bruxism result in increased risk of fracture or debond. Clinical relevance: A protective bi-laminar splint is thus advisable. Nonetheless, application of zirconia based crowns in a difficult clinical situation such as bruxism can be a successful treatment modality.
Mining Opinion Words and Opinion Targets – A Survey

: Opinion Mining is a relatively new field of study. This field is gaining importance with the evolution of online businesses. Opinion mining can be a very useful tool in terms of obtaining customer feedback, which will help companies design better products suited to the current market trend, thus maximizing their profit and also improving customer relations. This paper surveys various papers that propose novel algorithms to mine opinion targets and opinion words, which is a difficult task given the complexity of (any) language and the informal nature of most online reviews. These state-of-the-art algorithms focus on improving precision, and on reducing error propagation and false opinion relations. The concept, pros, and cons of each algorithm is discussed in this paper
The Effect of Background Pattern on Training a Deep Convolutional Neural Network for Surgical Tool Detection

Surgical tool presence detection in laparoscopic videos plays a key role in developing context-aware systems (CASs). These systems are designed to support surgical team inside operating rooms and increase the efficiency of surgical workflow. Convolutional neural networks (CNNs) have shown robust performance in detecting surgical tools in laparoscopic images. However, imbalanced data sets are still influencing the training process of the CNN models. In this work, data augmentation methods based on generated artificial images as training patterns by substituting the image background by uniform, random or original background patterns are investigated. First experimental results show different effects on the training process. Easily, an improvement of 10% in classification accuracy could be achieved when the network was trained on augmented data.
Performance Analysis of Machine Learning Techniques for Smart Agriculture: Comparison of Supervised Classification Approaches

Agriculture form one of the most important aspects of life necessities, it is responsible to feed 7.7 billion person for the time being, and it is expected to supply more than 9.6 billion individual in 2050, the thing that made classical farming insufficient, and give birth to the notion of smart farming, and the race has begun toward using the latest technologies in the field. They integrate the Internet of Things (IoT), automation, Artificial Intelligence (AI), etc. And as researchers from a country that highly depends on agriculture, we have decided to also contribute to this evolution, and we chose Machine learning (ML) as our entrance to the field to satisfy the need for automated classification of the different products produced by a farm. In this work, we wanted to solve the problem of automatic classification of agricultural products, without the need of any human intervention, and we concentrate on the classification of red fruits, due to our proximity to a location that its product is red fruits. In other words, we are doing a comparative study among the well-known approaches that are used in image classification, and we are applying the best-found method to correctly classify the pictures of red fruits. And this empirically leads us to achieve great results as shown in the numerical result area.
Urban growth dynamics based on surface Albedo changes in Petrolina, Brazil

Cities keep growing, and in most of the cases this expansion process is hard to model and describe for planning actions. Quantitative methods are increasingly used to help planning, monitoring, and regulating urban land-use processes. Remote sensing images series are making possible different types of spatial-temporal analysis of the Earth surface. Surface albedo is a remote sensing product acquired in a long series of satellite images such as Landsat (more than 40 years of observation). Those analyses allow measuring waterproofed areas for urban drainage studies, as well as monitoring urban spreading patterns, growth vectors, and issues related to comfort and environmental quality, as well as about land use and land-use planning (directives for master plans) among others. This article shows the direct applicability of surface albedo changes as an indicator of urban land-cover changes. The current study analyzed the urban area of Petrolina County (PE) in the following periods: 2001 and 2006, 2006 and 2011, and 2011 and 2017. Such analysis uses the surface albedo variation along the time and results showed a strong correlation between increased surface albedo and urban expansion. Besides, it enabled to observe the relation between the high urban growth in the 2011-2017 period and the urban spot expansion by 14% (approximately 590 thousand square meters of territorial extension). The Urban development stood out in the Northern and Southwestern regions of Petrolina County.
From taylorism to neo-taylorism : a 100 year journey in human resource management

Frederick Winslow Taylor’s “Principles of Scientific Management” revolutionized systems and techniques of personnel organization and management at the beginning of the 20th century when being published in 1911. This volume, as one of his three major works, is likely to be the best known contribution of the American mechanical engineer and economist. The influence of Taylor’s postulates was immediate in mass production both in the USA and around the world. Later on, in the last 100 years his principles have been applied, modified or reviled as well as they have given chance to different alternative schemes fitted to specific circumstances and market requirements, either aiming at their development or substitution. This paper presents an overview of the main prevalent theories in personnel management from Taylorism up to current times, concluding that, far away of being an obsolete and exhausted model, several forms of Neo-Taylorism are nowadays fully in force in productive organizations.
TPM Vol

The Maslach Burnout Inventory (MBI; Maslach, Jackson, & Leiter, 1996) is the most commonly applied measurement instrument for the assessment of burnout. In order to gain further insight into the controversy surrounding its psychometric properties, we conducted a comprehensive, robust, item response theory based psychometric analysis of a version of the German translation of the MBI within a sample of physicians recruited via a sampling procedure from a full medical register. The psychometric analysis is based on a two-step procedure which incorporates a general nonparametric analysis followed by a parametric analysis. The analysis shows departures of the MBI scales from the usually reported three-dimensional factor structure and highlights two potentially misfitting items. Deviations of the subscales from a graded response model are assessed via the use of posterior predictive p-values and results of a simple nonparametric method for scale construction are reported.
TPM Vol

Mentalization ability includes the capacity to recognize and manage mental states, and it is strictly linked to psychological well-being. However, there is a lack of validated measures to assess this ability in the Italian context. The aim of the present study is to provide an Italian validation of the Mentalization Questionnaire (MZQ; Hausberg et al., 2012), which allows a comprehensive evaluation of the ability to infer and understand one’s own mental states (Study 1). We also tested the predictive validity of the test, by comparing a normative sample with a clinical sample composed of restrictive eating disordered adolescents (Study 2). Overall, results show that the instrument is an accurate and reliable measure for assessing the mentalization ability of adolescents, also within the Italian context. Moreover, results support the predictive validity of the Italian version of the MZQ, showing that restrictive eating disordered adolescents have less ability in recognizing and expressing their own emotions. Limitations, strengths, and clinical implications of the two studies are discussed.
The Importance of Various Indicators of Active Learning on the Enhancement of Saudi Students’ Motivation and English Achievement: An Experimental Study

This experimental study sought to examine the impact of four indicators of active learning (i.e., elaborated feedback, group work, situated learning, and videos and pictures in classroom instruction) on the enhancement of Saudi students’ various motivational constructs (i.e., self-efficacy, task value, and effort expenditure) and English achievement. Participants were 289 university students, and the data were collected at three time points: Time 1 (before the intervention), Time 2 (in the middle of the intervention), and Time 3 (after the intervention). The findings of repeated measures ANOVA and follow-up t -tests revealed that the intervention had small impacts on all the variables at Time 2 (in the middle of the intervention). However, at Time 3 (after the intervention), the intervention had small impacts on effort expenditure and task value, a moderate impact on academic achievement, and a large impact on self-efficacy. In general, the evidence obtained provides important implications for educational practices and further research development.
First record of Bryde's whale (Balaenoptera brydei, Olsen, 1913) in the southeastern Mediterranean Sea, Alexandria, Egypt

The deviation of whales towards the beaches is one of the known phenomena around the world but it is one of the few and rare phenomena in the southeastern Mediterranean off Egypt, so the occurrence of this phenomenon requires detailed studies to find out the type of delinquent whale as well as the reasons for its attraction towards the shore of the Mediterranean Sea. In the current study, several methods were used to determine the type of delinquent whale, such as 1) morphometric measurements, 2) the characterization of the phenotype, 3) the analysis of mtDNA, and 4) analyzing the biochemical content of whale samples to try to determine its health condition. Furthermore, the physical, chemical and productive properties of water area have been studied. The species of the whale was identified as Balaenoptera brydei and the results showed that whale mortality due to hunger or drift was excluded due to its high protein content, which reinforced the assumption of the tendency of the whale in question to commit suicide to lose its natural environment and peers. In general, the presence of whales in the southeastern Mediterranean off the Egyptian coast is a phenomenon that needs further studies due to it is increased in recent decades.
Effects of Perching Surfaces and Foot Bandaging on Central Metatarsal Foot Pad Weight Loading of the Peregrine Falcon (Falco peregrinus)

Abstract: Pododermatitis is prevalent in falcons and is characterized by inflammation and infection of the plantar aspect of the feet, particularly at the central metatarsal pad. Suboptimal perch design and increased weight loading on the plantar skin have been proposed as major risk factors for the development of pododermatitis. Prevention and treatment are challenging, but weight load reduction on the affected area of the foot is an accepted goal of initial treatment. To date, to our knowledge no studies have compared the performance of different bandage-perch surface combinations on weight redistribution away from the central metatarsal pad. An ex vivo factorial experiment was designed using the feet from a peregrine falcon cadaver to quantify weight load reduction on the central metatarsal pad with different combinations of perch surfaces (wood, neoprene, artificial turf) and bandages (none, interdigital, silicone shoe). Feet were attached to a digital force gauge mounted on a manual test stand for compression testing. Weight loading at the central metatarsal pad was measured using a small force sensor. Perch-surface combinations in randomized order were tested at 250 g, 500 g, and 1 kg with 9 replicates per foot. At 250 g, all combinations reduced measured metatarsal pad forces, but otherwise performed similarly. As compression forces increased, differences emerged with the shoe combinations performing better overall, followed by a group including the neoprene and artificial turf-interdigital bandage combinations, and a third group including the interdigital/wood and no bandage-artificial turf. All combinations performed better than control (no bandage on wood). This study may assist veterinarians in selecting appropriate perching surface/bandage combinations when treating falcons with pododermatitis.
Passive Smoking Behaviour and Individual Productivity in Indonesia

This research tries to examine the effect of passive smoking behavior at the household level in Indonesia by focusing on the association of smoking behavior of husbands on productivities of their working and non-smoking wives measured by income and number of working hours. Statistically, smoking male prevalence in Indonesia is around 67% while female smoking prevalence is only 2.1%. To do so, this research uses the panel data sourced from Indonesia Family Life Survey (IFLS) 4 and IFLS 5, and compares the results of three statistical methods: OLS, Fixed Effect, and IV method. Overall, the results show that the smoking behavior of husbands is negatively associated with the income of their wives and that there is no correlation with the number of working hours of their wives. This research also finds evidence that the increase of smokers in wives’ community significantly and negatively correlates with their income pointing to community-wide spillover effects.
Acute Effects of Insulin on Cardiac Function in Patients with Diabetes Mellitus: Clinical Applicability and Feasibility

Background Insulin promotes glucose consumption as the main cardiac energy source, while increasing myocardial efficiency. The short-term effects of insulin on cardiac function and its potential curative role in an acute diabetological cardiology setting remain unknown. Our study evaluated the role of acute insulin administration in the diabetic heart, its corresponding effective blood insulin level, and the time-course applicability of insulin treatment in a routine clinical setting. Methods We evaluated a case series of six male (48.1 ± 4.9 y/o) patients with controlled diabetes (HbA1c of 6.6 ± 0.3%) and disease duration of 14.4 ± 6.7 yr. Each subject was evaluated for glucose homeostasis, as well as hemodynamic and echocardiographic (systolic and diastolic) parameters at three points: baseline followed by two successive insulin loads in euglycemic hyperinsulinemic clamp study. Results were analysed using Student's t-test. Results The first insulin load led to a physiologic blood insulin level of 145 ± 36 μU/ml, and both systolic (7 mmHg) blood pressure and diastolic (4 mmHg) blood pressure decreased significantly. Left ventricular fractional shortening (LVFS) increased significantly by 11.8%. Diastolic function parameters of mitral annulus movement of the A′ wave increased relative to baseline by 20.0% (27.8% under the second insulin load), A′ medial increased relative to baseline by 30%, and A′ lateral increased relative to baseline by 17%, displayed by tissue Doppler imaging. Conclusions Insulin acutely affected the diabetic heart at a physiologic level within a 2 h time course. Insulin mainly increased left ventricular systolic function and, to a second degree, improved left ventricular diastolic functions and atrial systole in diabetic subjects. These results may facilitate the development of insulin-based acute treatment in diabetic patients with cardiac morbidity. This trial is registered with NCT02962921.
Owner power, deliberate strategy formulation, and strategic management accounting

This research was conducted to identify the correlation between hotel owner power over the strategy formulation preference and the implementation of strategic management accounting, with the application of the sequential mixed-method approach. In the qualitative phase, 11 hotel managers and 2 hotel owners were interviewed. The result of the research demonstrates that a no controlling owner power will promote deliberate strategy formulation and the implementation of strategic management accounting. In conclusion, the preference of deliberate strategy formulation will promote the implementation of strategic management accounting on a larger scale.
Seismic Performance of an Efficient Scissor-Jack-Damper Configuration

Energy-dissipating or damping systems have been widely used in new and retrofitted structures for reducing earthquake damage to structural frames. Most damping devices were installed using diagonal or chevronbrace configurations, until the development of toggle-brace and scissor-jack configurations. This paper presents a modified scissor-jack-damper configuration with substantially improved efficiency. The mechanical behavior of the efficient scissor-jack-damper configuration is analyzed theoretically, and a formula for the displacement magnification factor of the configuration is proposed. A steel-frame specimen installed with the efficient scissor-jack-damper configuration was tested to verify the accuracy of the formula. The seismic responses of an uncontrolled steel-frame structure and of two controlled structures, installed with a diagonal brace and efficient scissor-jack-damper configurations, were analyzed using SAP2000. The high efficiency of the proposed scissor-jack-damper configuration is thus verified for practical engineering situations.
An Intelligent Model for Facial Skin Colour Detection

There is little research on the facial colour; for example, choice of cosmetics usually was focused on fashion or impulse purchasing. People never try to make right decision with facial colour. Meanwhile, facial colour can be also a method for health or disease prevention. This research puts forward one set of intelligent skin colour collection method based on human facial identification. Firstly, it adopts colour photos on the facial part and then implements facial position setting of the face in the image through FACE++ as the human facial identification result. Also, it finds out the human face collection skin colour point through facial features of the human face. The author created an SCE program to collect facial colour by each photo, and established a hypothesis that uses minima captured points assumption to calculate efficiently. Secondly, it implements assumption demonstration through the Taguchi method of quality improvement, which optimized six point skin acquisition point and uses average to calculate the representative skin colour on the facial part. It is completed through the Gaussian distribution standard difference and CIE 2000 colour difference formula and uses this related theory to construct the optimized program FaceRGB. This study can be popularized to cosmetics purchasing and expand to analysis of the facial group after big data are applied. The intelligent model can quickly and efficiently to capture skin colour; it will be the basic work for the future fashion application with big data.
The overseeding of two cool-season legumes (Hedysarum coronarium L. and Trifolium incarnatum L.) on switchgrass (Panicum virgatum L.) mature stands increased biomass productivity

In the Mediterranean rainfed systems, perennial warm-season grasses are profitable crops for the production of herbage as forage or feedstock for bioenergy purposes. During summer, when the production of cool-season crops is scarce, warm-season grasses can improve the productivity and stability of forage cropping systems. In Italy, switchgrass (Panicum virgatum L.) can be cultivated for herbage production or as energy crop. The objective of this work was evaluating if relay intercropping with cool-season legumes could be suited to convert a mature stand of switchgrass from energy to dual, energy and forage, production, together with improving the productivity and the quality of the harvestable biomass. All these things considered, a field experiment was carried out in Central Italy, on mature stands of two switchgrass varieties, Alamo and Blackwell, overseeded with two legumes: sulla (Hedysarum coronarium L.) and crimson clover (Trifolium incarnatum L.). The intercropping system was compared with fertilized and un-fertilized pure switchgrass stands. After two years of study, data showed that the intercropping increased the total above ground biomass (AGB) productivity. In the second year, the increase in total AGB production for switchgrass mixtures compared with the pure stands was greater for sulla, a biennial legume, than crimson clover.
Teacher Competencies for Dyslexia Students

Purpose: This study aims to identify the competencies that teachers have in dealing with dyslexic students. Method: The type of research used is quantitative which uses a research design survey that is strengthened by the results of interviews to support the results of quantitative data. Where the total number of samples from this study were 91 teachers taken based on the total sampling technique. Data were then analyzed with the help of the SPSS 21 application to look for descriptive statistics in the form of mean, median, min, max, and category. Findings: From the results of the analysis conducted, it is found that there is a teacher's ability to handle dyslexic students in the good category, which is indicated by a good category of 64.8% (59 of 91) students. Implications and Recommendations: For this reason, it is recommended that teachers need to have good competence in order to help dyslexic students. Students need to be given the opportunity to develop direct experiences and thoughts in learning activities.