Miracle-dz/UniFAR-FTUs huggingface dataset:
Informações da atenção secundária em Odontologia para avaliação dos modelos de atenção à saúde Information from secondary care in dentistry for evaluation of models of health care

Introduction: secondary care may reflect the care-solving capacity of primary care, considering the principle of integrality and the construction of health care networks in the Unique System of Heatlh (USH), supporting the organization of activities and oral health services in the context of medium complexity. Objective: to evaluate models of primary care in oral health in the municipality of Marilia / SP using information related to secondary care in dentistry, according to the principle of integrity. Methodology: This is a retrospective study with a randomly selected sample of 6 Basic Health Units (BHU), characterized by the traditional model of care, and 11 Family Health Units (FHU) working with the perspective of the Family Health Model. Secondary data were collected in two places: a) Department of Evaluation, Control and Auditing, which reported the number of referrals scheduled for specialties, and b) Center for Dental Specialties (CDS) that pointed out the number of missing patients in the initial consultation and the number of patients who abandoned specialized treatment. The Department of Oral Health Coordination reported unmet demand specialty endodontics. CDS operation from 2007 to 2009 was considered for collecting data. We conducted exploratory data analysis, and Student t and Mann-Whitney tests were performed. Result: The highest number of referrals for endodontics was coming from BHU. The percentage of absense in the initial consultation, treatment dropout and care-solving capacity in the specialty showed no statistical difference in relation to the organizational model of primary care. Conclusion: We conclude that results from both organizational models are similar, except for endodontic indication for endodontic treatment, suggesting future studies, analysis of other variables mainly related to the user.
Zanthoxylum: A Review of its Traditional Uses, Naturally Occurring Constituents and Pharmacological Properties

Zanthoxylum, commonly known as Timoor, has been used in different traditional systems of medicine and also for several other applications such as chemopreventive agents, tooth care, as spices, condiments, etc. Due to the pungent taste of fruits, seeds, leaves, bark, and therapeutic remedies, especially in Indian system of medicine, Eastern Asian countries and in Central America, it is being substituted for pepper. The collection of Zanthoxylum armatum DC; Syn. Z. alatum Roxb and its several species used for food, medicine and barter has been a part of the culture of many communities in different countries. The fruits and seeds of timoor are well known in ayurvedic medicine and used for different diseases. The bark of the plant has also been reported for hepatoprotective activity. Several natural compounds have been isolated and identified in several classes, from different plant parts and species. The Zanthoxylum compounds and extracts of the plant parts have been reported for several types of biological activities. This review aims to examine the detailed aspects of phytochemical compounds and pharmacological activities covering maximum species of this genus. In view of the available pharmacological data and traditional use in Indian system of medicine and in other countries also, Z. armatum and other species certainly deserve more investigations. However, clinical evidence and rigorous investigations for quality control are required before any recommendation for Zanthoxylum based products.
Metaphor and the Space Structuring Model

We propose an account of metaphor comprehension based on conceptual blending theory. We review data from on-line processing measures that support predictions of conceptual blending theory and report results of an off-line feature listing study that assessed how different sorts of contexts alter the information activated by a given word. Participants generated features for words used in the null context, sentences that promoted a literal reading of the target word, sentences that promoted a metaphorical reading, and sentences that required literal mapping. In literal mapping, the literal sense of the word was used in a way that prompts the reader to blend it with structure from a different domain. Results revealed some overlap in the features generated in each of the 4 contexts, but that some proportion of the features listed for words in literal, literal-mapping, and metaphoric-sentence contexts were unique and context specific.
Production of Structural Particleboard of Mimosa Scabrella Benth With Lignin Phenol-formaldehyde Resin

ABSTRACT The objective of this work was to evaluate the feasibility of using lignin-phenol-formaldehyde resin in the production of Mimosa scabrella Benth (bracatinga) structural particleboard. The boards were produced with nominal specific mass of 0.75 and 0.95 g/cm3, 10% and 12% of phenol-formaldehyde and lignin-phenol-formaldehyde resins, with 10 and 12 min of pressing time. The boards quality was evaluated by means of the following physical-mechanical tests: specific mass, compression ratio, water absorption and thickness swelling after 2 and 24 hours soaking, perpendicular traction, static bending and screw pulling. Positive interactions of specific mass, resin content and pressing time were observed in the properties of the boards produced. The evaluation of the properties results based on the requirements of EN 312 (type P5) standard indicated the feasibility of using lignin-phenol-formaldehyde resin in the production of particleboard of Mimosa scabrellla for structural applications.
ÖĞRETMEN KAVRAMI İLE İLGİLİ METAFORLARA İLİŞKİN ÖĞRENCİ, ÖĞRETMEN VE YÖNETİCİLERİN GÖRÜŞLERİ

Bu arastirmanin temel amaci, ogretmen kavramina iliskin ogrenci, ogretmen ve yoneticilerin sahip olduklari algilari, metaforlar kullanilarak analiz etmektir. Arastirmanin calisma alanini 2004-2005 egitim ve ogretim yilinda Bolu ili merkez ilce sinirlari icerisinde bulunan 19 ilkogretim okulunda besinci sinifta okuyan 600 ogrenci, gorev yapan 203 ogretmen ve 51 yonetici olusturmustur. Arastirmada veriler anket yoluyla elde edilmistir. Ogretmen kavramina iliskin metaforlarin tercih edilme duzeyleri frekans, yuzde, aritmetik ortalama ve standart sapma kullanilarak belirlenmistir. Katilimcilarin cinsiyetlerine gore gorusleri arasindaki farklilik t-testi, ogretmen ve yoneticilerin kidemleri ve egitim durumlarina gore gorusleri arasinda farklilik ise tek yonlu varyans analizi ile test edilmistir. Calismada elde edilen sonuclar sunlardir: Ogretmenin bilgi kaynagi ve dagiticisi, anne/baba, arkadas, rehber ve cevresini aydinlatan kisi oldugu metaforlari kabul edilirken, ogretmenin bahcivan, otoriter kisi, bakici, gardiyan, yikici ve zarar verici kisi oldugu metaforlari ise tercih edilmemistir. Ogrenci, ogretmen ve yoneticilerin gorusleri arasinda cinsiyete gore farklilik bulunmamistir. Ogretmen ve yoneticilerin egitim durumlarina ve mesleki kidemlerine gore farklilik ortaya cikmamistir. Ogrenciler ile ogretmen ve yoneticilerin konuyla ilgili gorusleri arasinda ise anlamli fark oldugu tespit edilmistir.
THE EFFECT OF WORK CLIMATE AND WORK DISCIPLINE ON EMPLOYEE PERFORMANCE (STUDY ON ONE OF THE 3 STAR HOTELS IN BANDUNG)

This research conducted with the aim to determine the effect of work climate and work discipline on employee performance and this study also aims to analyze the most dominant factors of influence between work climate and work discipline on employee performance. The object of his research was that 87 employees used a questionnaire aimed at employees registered at one of the 3-star hotels in the city of Bandung. Based on research using path analysis, it can be seen that the working climate variable (X ₁ ) has a direct influence of 24.1%, indirect influence through relations with work discipline (X ₂ ) of 14.3%, the total effect of 38.4%. Work discipline variables (X ₂ ) have a direct influence of 15.3%, and indirect effects through work motivation (X ₁ ) are 14.3%, the total effect is 29.6%. The results of the correlation coefficient of determination (R squared) expressed in percentages illustrate the contribution of all independent variables namely work motivation (X ₁ ) and work discipline (X ₂ ) in determining the performance variable is 0.679 or 67.9% while other factors that affect performance not examined indicated by the value of 0.321 or 32.1%. The conclusions of the suggestions that can be considered in connection with the results of the study are that management should be able to maintain and improve the two variables above. Keywords : Work Climate, Work Discipline, Employee Performance DOI: 10.5281/zenodo.3232926
Dining at continuing care retirement communities: A social interaction view

As the number of older adults increases so does the demand for housing and personal care needs. The continuing care retirement community is unique from other senior care facilities as it provides a continuum of housing and care that caters towards an individual’s need. Foodservice is often utilized to attract older adults into retirement facilities. Such service would give residents additional opportunities to socialize with service workers as well as other patrons of the restaurant. Yet, few studies have focused on the roles of food and dining service on resident’s satisfaction with foodservice and their quality of life. Study 1 examined the relationships between residents’ perception of individual customer orientation of service employee dimensions: technical skills, social skills, motivation, and decision-making authority, with relational benefits, satisfaction and subsequent behavioral outcomes: repurchase intention and word-of-mouth. Study 2 explored the moderating effects of resident’s activity involvement and food involvement on the relationships between rapport, dining-need satisfaction and resident’s quality of life. To achieve the objectives of these studies, 412 continuing care retirement community residents from five facilities completed a self-report questionnaire. Of these, 354 were used in study 1 and study 2. Findings of the structural equation modeling (Study 1) suggested that resident’s perception of foodservice employee’s technical skills, social skills and motivation were important determinants of confidence and social benefits that led to residents’ overall satisfaction with foodservice. Satisfied resident-consumer is likely to engage in word-of-mouth and repurchase intention. Results of hierarchical multiple regressions (Study 2) revealed that perceived rapport and resident’s dining-need satisfaction are positively related to resident’s quality of life. This study also found that activity involvement and food involvement moderated the relationships between rapport and dining-need satisfaction with quality of life respectively. That is, the more involved resident has an improved quality of life.
Efficient Generalized Surrogate-Assisted Evolutionary Algorithm for High-Dimensional Expensive Problems

Engineering optimization problems usually involve computationally expensive simulations and many design variables. Solving such problems in an efficient manner is still a major challenge. In this paper, a generalized surrogate-assisted evolutionary algorithm is proposed to solve such high-dimensional expensive problems. The proposed algorithm is based on the optimization framework of the genetic algorithm (GA). This algorithm proposes to use a surrogate-based trust region local search method, a surrogate-guided GA (SGA) updating mechanism with a neighbor region partition strategy and a prescreening strategy based on the expected improvement infilling criterion of a simplified Kriging in the optimization process. The SGA updating mechanism is a special characteristic of the proposed algorithm. This mechanism makes a fusion between surrogates and the evolutionary algorithm. The neighbor region partition strategy effectively retains the diversity of the population. Moreover, multiple surrogates used in the SGA updating mechanism make the proposed algorithm optimize robustly. The proposed algorithm is validated by testing several high-dimensional numerical benchmark problems with dimensions varying from 30 to 100, and an overall comparison is made between the proposed algorithm and other optimization algorithms. The results show that the proposed algorithm is very efficient and promising for optimizing high-dimensional expensive problems.
Results of the second Dutch national survey on radon in dwellings

In de periode 1995-1996 zijn radonconcentraties en luchtstromen gemeten in circa 1500 Nederlandse nieuwbouwwoningen (bouwjaar 1985-1993). Het onderzoek had tot doel de trend in de radonconcentratie te beschrijven en het relatieve belang van de diverse bronnen van radon in de woning te kwantificeren. In de woonkamers varieerde de concentratie tussen 5 en 400 Bq/m3. Gemiddeld bedroeg de radonconcentratie er 30 Bq/m3 bij een concentratie in de buitenlucht van ongeveer 5 Bq/m3. Dit is circa 50% hoger dan wat in 1984 werd gemeten in woningen die tot circa 1970 werden gebouwd. In de kruipruimten is de gemiddelde radonconcentratie 70 Bq/m3. In slaapkamers is gemiddeld 10% minder radon gevonden dan in de woonkamer. Uit meting van luchtstromen in en tussen woonkamer en kruipruimte kon worden afgeleid dat voor de woonkamer de bouwmaterialen de belangrijkste bron van radon zijn met een gemiddelde bijdrage van 70%. Circa 15% van het radon is afkomstig uit de kruipruimte. De buitenlucht levert een even grote bijdrage. De radonconcentratie in de onderzochte nieuwbouwwoningen bleek te worden beinvloed door het gebruik van de mechanische ventilatievoorziening en gecorreleerd te zijn met de radonconcentratie in de kruipruimte en met het totale oppervlak van de uit beton opgetrokken wanden. De lange termijn toename in de radonconcentratie wordt voornamelijk veroorzaakt door verbeteringen in de woningisolatie sinds de zeventiger jaren, wat resulteerde in een toename van de luchtdichtheid van de bouwschil met een factor vier, en in mindere mate door een stijging in het gebruik van betonproducten met een factor vier, over een periode van circa 40 jaar. Sinds 1970 is de gemiddelde radonconcentratie voor het totale woningbestand met circa 4 Bq/m3 toegenomen tot 23 Bq/m3, nog steeds de op een na laagste gemiddelde waarde in West-Europa.
Physicochemical Properties and Effect of Processing Methods on Mineral Composition and Antinutritional Factors of Improved Chickpea (Cicer arietinum L.) Varieties Grown in Ethiopia

Chickpea (Cicer arietinum L.) is an important pulse crop grown and consumed all over the world because it is a good source of carbohydrates and protein. However, presence of antinutritional components restricts its use by interfering with digestion of macronutrients during consumption. Therefore, the objective of this study was to evaluate physicochemical properties and effect of processing methods on antinutritional factors and mineral composition of improved chickpea varieties (Natoli of Desi and Arerti of Kabuli) grown in Ethiopia. The experiment was factorial with complete randomized design. The result indicated that physicochemical properties such as seed mass, seed density, hydration capacity, swelling capacity, unhydrated seeds, and cooking time of Arerti and Natoli chickpeas had 260.69 and 280.65 g/1000 seeds, 3.48 and 3.61g/ml, 1.07 and 1.03 g/g, 2.12 and 1.94ml/g, 1.64 and 14.75%, and 21.00 and 246.33 min, respectively. After processing, Zn, Fe, and Ca contents of improved chickpea varieties had 4.48 to 5.85mg/kg, 8.52 to 10.17mg/kg, and 536.56 to 1035mg/kg, respectively. The antinutritional factors, tannin and phytic acid, in the raw chickpeas were reduced to 25 to 82.25% and 5.89 to 57.35%, respectively. The results of the current study showed that Arerti of Kabuli variety showed low antinutritional factors and better physicochemical properties, specifically low cooking time, than Natoli of Desi variety. All processing methods were effective in reduction of antinutritional factors; however, boiling was found to be the best for reduction of antinutritional factors.
On-Line Professional Staff Development: An Evaluation Study.

This paper reports the design, implementation, and evaluation of a teleseminar on instructional design (ID) and computer-mediated communication (CMC) for the purposes of staff development at The University of Southern Queensland, Toowoomba, Australia. Participation was open to any staff with an involvement or interest in distance education. This study was motivated by the following research questions: Is CMC a viable medium for the professional development of staff in distance education? Does the nature of moderation of CMC-based discussions influence the nature of contributions from subscribers? Do participants use different strategies (interactive, cognitive, and metacognitive) in CMC-based discussions? To address these questions a teleseminar was instituted with a focus on the issues of ID and CMC. CMC-based moderation techniques were used to manage the discussion. Both qualitative and quantitative evaluation tools were used to measure the outcomes of the teleseminar. Results of these evaluation data show that CMC proved to be a viable medium for the professional development of staff, that the moderation strategies influenced the nature of contributions from the subscribers, and that participants used a range of strategies to manage the discussion and their participation in it.
Educational Apps: Using Mobile Applications to Enhance Student Learning of Statistical Concepts

This research sought to understand whether the use of mobile applications (e.g., iPhone apps) had an impact on students’ learning of new statistical concepts. A control group (n = 12) was compared against a group that used a statistical mobile app (n = 13) during a simulated statistics lecture on the topic of normal distribution. Students received a classroom lecture followed by a period of either pencil‐and‐paper only or technology‐assisted examples. They then took a quiz on the material. The overall quiz results showed that the app group outperformed the control group. When learning through examples with the mobile app, students performed better on problems that required them to apply their knowledge, which corresponds to the third level of learning in Bloom's taxonomy. A postexperimental survey showed that students in the app group felt strongly that mobile apps helped them understand the new concepts more clearly and were more confident in their ability to learn the new material more quickly than the control group. Overall, this research demonstrates that incorporating mobile apps into lectures has the potential to positively affect student learning.
Effectiveness of the Triple Test and Its Alternatives for Breast Mass Evaluation

Objective: The aim of this study was to investigate the specificity and sensitivity of the conventional test combination used for the evaluation of the breast masses that included physical examination (PE), mammography (MG) and fine needle aspiration biopsy (FNAB) in evaluating the malignant or benign characteristics of the masses with respect to the data in our hospital, and to determine the specificity and sensitivity of alternative test combinations in order to compare the efficacy of these combinations. Materials and Methods: The ages and PE, ultrasonography (US), MG and FNAB findings of 636 women who were detected to have a mass breast mass in the examinations performed in the Cancer Screening Early Detection and Education Center (KETEM) between 2004 and 2009, were retrospectively investigated. Those who underwent excisional operation and follow-up were also evaluated. The specificity and sensitivity of each test or test combination were individually measured. Results: The median age of the participants was 58. All the patients were investigated with PE, USG, MG and FNAB. Excisional biopsy was performed in 448 patients and the mean follow-up period of all patients was 3 years. The sensitivity (Sn) and specificity (Sp) of the conventional triple test (PE+MG+FNAB) were 100% and 92.1% respectively, which seemed very high. It was observed that MG+US+FNAB triple test had the most successful diagnostic feature among all combinations, with a 100% Sn and 100% Sp. Conclusion: Although physical examination is essential for the evaluation of the possible masses within the breast, it is insufficient in evaluating the malignancy of the mass. Screening tests should definitely be performed in the presence of a mass. In women older than 40 years of age, US or MG alone may not be sufficient for the evaluation of the malignancy. We believe that performing these tests in conjunction, and supporting them by FNAB, can make the treatment of the mass be possible without the need for a more invasive procedure.
Pseudo-label generation for multi-label text classification

With the advent and expansion of social networking, the amount of generated text data has seen a sharp increase. In order to handle such a huge volume of text data, new and improved text mining techniques are a necessity. One of the characteristics of text data that makes text mining difficult, is multi-labelity. In order to build a robust and effective text classification method which is an integral part of text mining research, we must consider this property more closely. This kind of property is not unique to text data as it can be found in non-text (e.g., numeric) data as well. However, in text data, it is most prevalent. This property also puts the text classification problem in the domain of multi-label classification (MLC), where each instance is associated with a subset of class-labels instead of a single class, as in conventional classification. In this paper, we explore how the generation of pseudo labels (i.e., combinations of existing class labels) can help us in performing better text classification and under what kind of circumstances. During the classification, the high and sparse dimensionality of text data has also been considered. Although, here we are proposing and evaluating a text classification technique, our main focus is on the handling of the multi-labelity of text data while utilizing the correlation among multiple labels existing in the data set. Our text classification technique is called pseudo-LSC (pseudoLabel Based Subspace Clustering). It is a subspace clustering algorithm that considers the high and sparse dimensionality as well as the correlation among different class labels during the classification process to provide better performance than existing approaches. Results on three real world multilabel data sets provide us insight into how the multi-labelity is handled in our classification process and shows the effectiveness of our approach.