Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of selected colors on reaction time and racquetball wall volley performance.

EFFECTS OF SELECTED COLORS ON REACTION TIME AND RACQUETBALL WALL VOLLEY PERFORMANCE by Michael R. Pruitt The purpose of this study was to determine if any of four selected colors produced a faster reaction time and if any of the four selected colored racquetballs produced a better performance on a wall volley test. The colors used in this study were blue, green, fluorescent orange, and fluorescent yellow. Twenty-three members of two beginning racquetball classes at Middle Tennessee State University during the spring of 1984 were used as subjects. All subjects were tested and found to be free of color blindness. A reaction time test using four different colored light bulbs hung at eye level with a solid white foreground was given to all subjects using an automatic performance analyzer. After selected colors were applied to racquetballs, wall volley tests were given, two tests per subject per color. Statistical procedures used were analysis of variance, correlated ^ test, and Pearson Product-Moment Correlation Coefficient. The primary findings of this study included: a significant difference in reaction time scores when comparing blue with orange, blue with yellow, and green with yellow; a significant difference in wall Reproduced with permission of the copyright owner. Further reproduction prohibited without permission.
Soil Aggregate Response to Three Freeze-Thaw
Methods in a Northeastern China Mollisol

Freeze-thaw (FT) cycles occur annually in soils of mesic and frigid temperature regimes. FT has profound impacts on soil aggregates yet is often difficult to document in field settings. As a result, laboratory-based FT experiments are widely used, albeit with their own limitations. Both laboratory and field-based research indicates that aggregate properties vary with rates of freezing and thawing as well as the number and amplitudes of FT cycles. In this study, we introduce a continuous freezing-to-thawing-to-freezing technique (i.e., “VTR”) and compare it to a commonly used discrete freeze-then-thaw-then-freeze method (i.e., “RTCR”) and compare both results to natural seasonal changes. Our study soil is the A horizon of the major cropped mollisol in northeastern China. We examined it under natural field soil moisture conditions as well as two controlled soil moisture contents in the laboratory. Both RTCR and VTR show a decrease in large (>1mm) aggregate content and a corresponding increase in medium (0.5 to 0.2 mm) aggregates (P>0.05) that is proportional to the number of FT cycles and soil moisture content. Wet aggregate stability (WAS) increased (P<0.05) over the time of the experiment with each method. RTCR data showed an interaction between FT cycles and soil water content. VTR was better, although certainly not with better matched field results than RTCR, which we attribute its FT cycles being matched to anactual field. These results confirm the dependability and authenticity of the VTR technique.
MİLLİ EĞİTİM BAKANLIĞINA BAĞLI OKULLARDA ÖĞRETMEN OLARAK ÇALIŞAN LİSANSÜSTÜ ÖĞRENCİLERİNİN KARŞILAŞTIKLARI

Bu arastirmada, M. E. B'na bagli okullarda ogretmen olarak calisan ve ayni zamanda lisansustu egitimine de-nam eden ogretmenlerin, lisansustu egitimleri suresince karsilastiklari bazi sorunlari, yonetmelik.
The variables related to attrition and persistence of distance education students enrolled in the fourth year of the Bachelor of Education course

The extent to which a range of demographic, academic and administrative variables are related to attrition and persistence of external students enrolled in the Fourth Year of the Bachelor of Education course during second semester, 1995 are investigated in this study. The applicability of the sub-scales and scales developed by Kember, Lai, Murphy, Siaw and Yuen (1995) for distance education students is also reported on for the study group. Data were obtained from the student records system and two self-administered mail out questionnaires. The study population was predominantly female, in their early thirties, living in Western Australia, had completed their first teaching qualification nearly nine years ago and had subsequently had six years teaching experience. They were mostly classroom teachers who were studying part-time, were less than half way through the course, had not previously withdrawn from a unit and were achieving satisfactory results. Those students who withdrew from their studies had less teaching experience, had completed fewer units and semesters of study, and had lower course averages than the continuing students. The majority of students indicated that work, family and study commitments were the main reason(s) for their withdrawal. Withdrawn students were much less satisfied with the level of communication with the tutor and a greater proportion of these students rated assignment feedback as very unsatisfactory. A series of sub-scales and scales constructed from the Distance Education Student Progress (DESP) inventory using factor analysis indicated a wide range of variables underlie the reasons why students withdraw or persist in the course of study. These scales and sub-scales are appreciably different to those reported by Kember (1995). The study found that the attrition rate of students studying in the Fourth Year of the Bachelor of Education may be reduced if the unit materials were mailed by a date
Developing one-sided specification six-sigma fuzzy quality index and testing model to measure the process performance of fuzzy information

Depending on the quality characteristic, a process capability index (PCI) can be used for one-sided specifications or for bilateral specifications. They are widely employed in the evaluation and improvement of process performance and are also good tools for communication between sales departments and vendors. The earliest PCIs for one-sided specifications were proposed by Kane (1986) and have one-to-one relationships with yield. A number of researchers have investigated the statistical properties of one-sided specification indices and proposed methods for applications. The later introduction of the Six Sigma approach also assisted many firms in effectively enhancing their production capacities, reducing waste, and increasing effectiveness. Like the PCIs, the Six Sigma quality levels have also become good quality control methods and communication tools in the industry. As a result, many researchers have examined the relationships between PCIs and the Six Sigma and their applications so that both approaches can be easily used to solve engineering problems in practice. In view of this, Chen et al. (2017a) modified the PCI for one-sided specifications and proposed the Six Sigma Quality Index (SSQI), which coincidently equals the quality level and has a one-to-one relationship with yield. However, uncertainty in quality characteristic measurements is common in practice, which can lead to judgment errors in conventional process capability assessment methods. In these cases, fuzzy calculation methods can determine the actual process capability more precisely. This study therefore developed an SSQI for one-sided specifications based on the fuzzy testing method created by Buckley (2005) and developed a Six Sigma fuzzy evaluation index and testing model. In addition to having a simpler calculation procedure, the model takes the process capability and Six Sigma quality level into consideration and can process the uncertainties in the data to make it more convenient for the industry to solve engineering issues. Finally, we presented a practical example to demonstrate the applications. The model proposed in this study can provide the industry with a practical approach to assess process quality in a fuzzy environment.
The Ancient Middle Classes: Urban Life and Aesthetics in the Roman Empire, 100 BCE–250 CE

Our image of the Roman world is shaped by the writings of Roman statesmen and upper class intellectuals. Yet most of the material evidence we have from Roman times - art, architecture, and household artifacts from Pompeii and elsewhere - belonged to, and was made for, artisans, merchants, and professionals. Roman culture as we have seen it with our own eyes, Emanuel Mayer boldly argues, turns out to be distinctly middle class and requires a radically new framework of analysis. Starting in the first century bce, ancient communities, largely shaped by farmers living within city walls, were transformed into vibrant urban centers where wealth could be quickly acquired through commercial success. From 100 bce to 250 ce, the archaeological record details the growth of a cosmopolitan empire and a prosperous new class rising along with it. Not as keen as statesmen and intellectuals to show off their status and refinement, members of this new middle class found novel ways to create pleasure and meaning. In the decor of their houses and tombs, Mayer finds evidence that middle-class Romans took pride in their work and commemorated familial love and affection in ways that departed from the tastes and practices of social elites.
Scaffolding chemistry students' learning within the context of emerging scientific research themes through laboratory inquiry

The decline in student numbers in post-compulsory secondary science education is a continuing international trend due in large part to the level of difficulty experienced by students in senior sciences, particularly the physical sciences, and the lack of relevance perceived by students to their personal or future working lives. This paper, which focuses on chemistry education, argues that the use of digital technologies and inquiry-based learning to support students’ understanding of chemistry, particularly in emerging chemical contexts is an area that merits further investigation and it presents the findings of a study that focussed on the teaching of an emerging area of scientific research – the production and properties of biomaterials. The study was conducted with two Year 11 chemistry classes (n = 22, n = 27) that completed an inquiry in which they made two different bioplastics, compared a number of their macroscopic properties, and were asked to explain them in terms of underlying structural characteristics. Students were asked to report their laboratory findings using two different text types: a standard laboratory report and a digital poster. To scaffold this process, students were provided with a range of digital and laboratory resources as well as teacher and peer interaction. A mixed methods design was employed with data collected including semi-structured interviews, surveys, and pretests and posttests that measured students’ conceptual understanding and their use of multiple representations. The data from the study suggest that learning with digital visualisation tools and writing-to-learn strategies improves students’ understanding of chemical concepts and the representations used by chemists to understand them. These results underline the importance of scaffolding students’ learning through the use of emerging digital technologies to help students to make connections between macroscopic phenomena and the underlying molecular entities and processes associated with them. Scaffolding strategies and linking learning experiences to new areas of chemistry research, such as those used in this study, also have the potential to increase both students’ motivation and interest in chemistry.
KOSMOLOGI DAN SAINS DALAM ISLAM

Kosmologi sebagai ilmu yang membahas tentang alam semesta telah dijelaskan dalam Al-Qur’an dengan berbagai penjelasan tentang gejala alam. Seiring berkembangnya ilmu pengetahuan, orang mulai melakukan pengamatan lebih rasional terhadap alam semesta. Astronomi berkembang, dari pengamatan bintang dan planet melebar ke studi struktur dan evolusi alam semesta. Lahirlah Kosmolgi, sains yang mencari pemahaman fundamental alam semesta. Tulisan ini membehas tentang kosmologi dan sains dalam perspektif Islam. Tulisan ini merupakan hasil telaah mendalam terhadap data kepustakaan yang kemudian dianalisa dan dideskripsikan. Hasil telaah menunjukkan bahwa kosmologi dalam Islam berbicara bukan hanya satu tatanan kosmos yaitu tatanan fisik tetapi juga meliputi tatanan dunia lain yang non fisik. Dalam hal sains, secara mendasar, kaum muslimin dibimbing oleh ajaran-ajaran Wahyu. Kepercayaan pada kesatuan seluruh fenomena seperti yang ditunjukkan dalam Al-Quran, bersama dengan klasifikasi sains seperti filosofis, mendorong penelitian kosmologis yang secara keseluruhan, mencerminkan luasnya pendekatan. Pada satu sisi terdapat spekulasi metafisika dan mistis yang melampaui benda-benda yang dapat diungkap melalui pengamatan langsung atau pengujian rasional murni. Di sisi lain terdapat pengamatan astronomi langsung dan analisis tentang fenomena yang diamati. Kata kunci: Kosmologi, Sains, Al-Quran, dan Islam.
The Code of Kings: The Language of Seven Sacred Maya Temples and Tombs

This unique and extraordinary guide to seven major sites of Maya civilization highlights the pioneering work of two great scholars of ancient America. For readers at every level -- from the casual tourist to the serious student -- "The Code of Kings" relies on Linda Schele and Peter Mathews's revolutionary work in the decipherment of the hieroglyphs that cover the surfaces of Maya ruins to give us a far clearer picture of Maya culture than we have ever had. Richly illustrated with line art and the incomparable photography of Justin Kerr and Macduff Everton, "The Code of Kings" is a landmark contribution to our understanding of the Maya and a phenomenal guided tour of seven of the most awesome and magical spots on Earth.
Deep learning does not outperform classical machine learning for cell-type annotation

Deep learning has revolutionized image analysis and natural language processing with remarkable accuracies in prediction tasks, such as image labeling and semantic segmentation or named-entity recognition and semantic role labeling. Specifically, the combination of algorithmic and hardware advances with the appearance of large and well-labeled datasets has led up to seminal contributions in these fields. The emergence of large amounts of data from single-cell RNA-seq and the recent global effort to chart all cell types in the Human Cell Atlas has attracted an interest in deep-learning applications. However, all current approaches are unsupervised, i.e., learning of latent spaces without using any cell labels, even though supervised learning approaches are often more powerful in feature learning and the most popular approach in the current AI revolution by far. Here, we ask why this is the case. In particular we ask whether supervised deep learning can be used for cell annotation, i.e. to predict cell-type labels from single-cell gene expression profiles. After evaluating 10 classification methods across 14 datasets, we notably find that deep learning does not outperform classical machine-learning methods in the task. Thus, cell-type prediction based on gene-signature derived cell-type labels is potentially too simplistic a task for complex non-linear methods, which demands better labels of functional single-cell readouts.
Tools for inquiry-based learning in primary school

Information technology and information literacy are becoming increasingly important in today's knowledge society. Many studies have shown that students from elementary school to graduate school do not have enough information literacy and skills in IT, therefore, there is a need for effective pedagogical approach that will develop these skills. One of the important step in this direction is the possibility of combining a collaborative teaching approach with inquiry-based learning to develop information literacy of elementary school students and IT skills. Based on existing theoretical framework, we believe that modern teaching technology should be used in early childhood. Children of primary school age explore and learn about the environment by using queries, and computer technologies offer available way to extend the domain and range of this request. A great number of interactive games and educational software packages have been implemented over the last decade for primary schools. However, a large number of software packages are not focused on inquiry-based learning. Examples of existing and hypothetical apps to research in early childhood presented in this article. Problems and future research directions are also identified and discussed.
Drug inventory control analysis in a primary level health care facility in rural Tamil Nadu, India.

Introduction:Almost one-third of hospital budget is spent in buying supplies including medicines. The cost and need of these medicines vary widely depending on the level of health care and the population catered. Effective and scientific drug inventory management techniques are necessary for efficient health care delivery. Objectives:To categorise the drugs based on cost and criticality aspects and identify those which require stringent managerial control. Methods: The data related to annual consumption and annual drug expenditure (ADE) incurred on each drug during the year 2012 in a primary level health care facility in Kancheepuram District, Tamil Nadu was collected. The drugs were categorised based on ABC, VED analysis using Microsoft Office Excel version 2007. Results :A total of 84 drugs used in the hospital were included in the analysis. The ADE on these 84 items, for the year 2012 was, Rs.3,22,697.10. ABC analysis showed, 15 items (17.9%) in Category A, 17 (20.2%) in Category B and 52 (61.9%) in Category C consumed 70.6%, 19.47% and 9.9% of the total ADE. VED analysis revealed 25 vital items (29.8%), 31 essential items (36.9%) and 28 desirable items (33.3%) consuming 29.3%, 44.2% and 26.5% of the ADE respectively. On ABC-VED matrix analysis, 42.8%, 36.9% and 20.2% items were categorised under Category I, II and III respectively accounting for 78.4%, 17.1% and 4.5% of ADE. Conclusions :This analysis allowed for categorisation of drugs based on cost and criticality factors and identifies level of managerial control required.
Paediatric drug utilization in Europe : prevalence and socioeconomic aspects of use

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William Donald Hamilton. 1 August 1936 — 7 March 2000

William Donald Hamilton was born in 1936 in Cairo to New Zealander parents, and was brought up for the most part in a rural and wooded part of Kent, England. He described his childhood as idyllic, full of freedom to roam, and of maternal inspiration and encouragement, and himself as a great burrower. He was fascinated by insects from an early age. A great–aunt gave him her insect collection, whose cases he used for his own (later rueing his discarding of the insects themselves), and also lent him a translation from Fabre, the great French naturalist and one of the first to study behaviour scientifically. A birthday present from his parents was a much coveted copy of E. B. Ford's Butterflies (Ford 1945) in Collins's New Naturalist Series, which introduced the 12–year–old to genetics, to a scientific sensibility that looked down on ‘mere collecting’, to mathematical biology in the shape of Mendelian segregation ratios, and to the modern study of evolution. After reading Ford, he asked for a copy of Darwin's Origin of Species as a school prize. To have inspired this one young biologist would by itself justify Ford's efforts in writing Butterflies.
Butch/Femme: Inside Lesbian Gender

Loaves and fishes, hotel room, Cherry Smyth staging the scene - representation of gender and the butch/femme dynamic in contemporary performance, Nina Rapi on butch identity, Sue Ellen Case the knowledge of the femme, Heather Findlay "The Marriage of Heaven y Hielo" (poem), "Sailor" (poem), Gerry Gomez Pearlberg "Econobox" (prose poem), Linda Smukler butch types, Judith Halberstam hairpins and piercings - the making of neo-femme visibility, Lisa Walker "Alice-Hunting" (fiction), Esther Newton "femme" femininity and the problematics of masculinity, Lynda Hart public discourse and the re-closeting of butch/femme lives, Shane Phelan the hegemonic regulation of butch performance, Anna Marie Smith untitled fiction, Holly Hughes Sheila dances with Sheila - a femme-to-femme interview, Lois Weaver a tale of two Annies, Emma Donaghue untouchability and vulnerability - stone butchess as emotional style, Ann Cvetkovich Harlem renaissance's Gladys Bentley and gendered lesbian blues, Laura Harris theorizing queer butch identity, Liz Crocker gendered desire and bisexual femme subjectivity, Clare Hemmings butch in the sheets / femme in the sheets, Sharon Holland femme to femme - a love story, Clare Whatling butch and femme contradictions in Greek culture, Nina Rapi girl talk - femmes in discussion, Catherine Bewley and Louise Carolin.
Deep learning with feature embedding for compound-protein interaction prediction

Accurately identifying compound-protein interactions in silico can deepen our understanding of the mechanisms of drug action and significantly facilitate the drug discovery and development process. Traditional similarity-based computational models for compound-protein interaction prediction rarely exploit the latent features from current available large-scale unlabelled compound and protein data, and often limit their usage on relatively small-scale datasets. We propose a new scheme that combines feature embedding (a technique of representation learning) with deep learning for predicting compound-protein interactions. Our method automatically learns the low-dimensional implicit but expressive features for compounds and proteins from the massive amount of unlabelled data. Combining effective feature embedding with powerful deep learning techniques, our method provides a general computational pipeline for accurate compound-protein interaction prediction, even when the interaction knowledge of compounds and proteins is entirely unknown. Evaluations on current large-scale databases of the measured compound-protein affinities, such as ChEMBL and BindingDB, as well as known drug-target interactions from DrugBank have demonstrated the superior prediction performance of our method, and suggested that it can offer a useful tool for drug development and drug repositioning.