Miracle-dz/UniFAR-FTUs huggingface dataset:
The Correlation between Generic Skills and Metacognitive Skills of Biology Education Students in Tasikmalaya Indonesia Through Problem-Based Learning Model.

This research was conducted to investigate the correlation between generic skill with metacognitive skills through Problem-Based Learning model. This is a correlational research studying the correlation of the five indicators of generic skills, namely thinking skill, problem-solving skill, leadership skill, management skill with cooperative skill, and metacognitive skills through problem-based learning model. The population of this research was the biology students taking animal structure course at the teacher training and education faculty of the Siliwangi University Tasikmalaya Indonesia; the sample consisted of 30 students. Multiple linear regressions were used to reveal the correlation regression equation between students’ generic skills and metacognitive skills. There is a strong correlation (R= 0.742; R2 = 0,551) between generic skills and metacognitive skills in learning to implement problem-based learning model; so the contribution of generic skills on metacognitive skill is 55.1%. Among the five indicators of generic skills having a significant simultaneous contribution on metacognitive skills, only the thinking skill and the management skill having bigger contribution, The effective contributions (EC) of management skill and thinking skill are 33,1% and 21,3% respectively. Generic skills and metacognitive skills should be explicitly included in every learning objective, so that various skills needed by the students in the future can be trained and developed as early as possible.
Aziridines And Epoxides In Organic Synthesis

Thank you for downloading aziridines and epoxides in organic synthesis. As you may know, people have look numerous times for their chosen readings like this aziridines and epoxides in organic synthesis, but end up in harmful downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they cope with some harmful bugs inside their desktop computer. aziridines and epoxides in organic synthesis is available in our book collection an online access to it is set as public so you can get it instantly. Our books collection spans in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Merely said, the aziridines and epoxides in organic synthesis is universally compatible with any devices to read.
Management of Deciding Decision Making Final Project Advisor in Optimizing Learning

In the management of learning in preparing the final assignment has become an obligation in each university. So, the existence of a final assignment supervisor is very important to help students complete their final assignments. Without the final assignment supervisor can lead to unclear and a directed research in accordance with the provisions of learning management, in this study discusses the role of lecturers in conducting final assignments in both thesis and thesis, lecturers as facilitators start the final assignment, lecturers as final project supervisors, lecturers as a final assignment exam preparation supervisor, stress in preparing the final assignment, communication of students with supervisors, choosing supervisors, consulting techniques with counselors, obstacles during the guidance of the preparation of the final assignment report. With the hope of this research students can choose a mentor where they must master the fields that are in accordance with your final assignment and with the provisions of learning management in Higher Education, and choose a mentor who has enough time to guide you, and a cooperative and communicative guide.
A Clinical Study of Maternal and Perinatal Outcome of Abruptio Placentae

Aim and Objectives: The aim of present study was to study maternal and perinatal outcome in cases of abruptio placenta and initiate early intervention to bring down maternal morbidity and to prevent maternal and perinatal mortality. Methods: A prospective observational study was done on 110 cases of abruptio placenta presenting to the labour ward and delivered. Maternal outcome such as mode of delivery, maternal complications and Operative interference were studied. Perinatal outcome in the form of birth weight, APGAR score at 1 and 5 minute, NICU admissions and perinatal deaths were studied. Results: Incidence of abruptio placentae was 0.97%. Majority (59.1%) of cases with abruptio placenta was multipara and 39.1% were primigravida with commonest age group being 21-25 years. The associated conditions were preeclampsia (54.5), anaemia (13.6%), trauma (11.8%), polyhydramnios (5.5) and twins (1.8) and unknown (12.7%). LSCS was performed in 62% patients. 38% had a normal vaginal delivery whereas 5.5 % had a forceps delivery. Maternal complications were DIC (24.5%), PPH (14.5%), shock (10%) and ARF (5.4%). Operative Interference was done in 13.7% cases. No maternal mortality was noted. Maximum (74.6 %) were live births and 28(25.5 %) were stillbirths. The perinatal mortality was 29.1%. Conclusions: Early intervention is the key to reduce maternal and perinatal morbidity and mortality. Availability of adequately trained staff, ICU and NICU facilities, well equipped operation theatres, blood and blood products, infrastructure is of utmost importance for active management of a patient with abruptio. Therefore tertiary care centres are an ideal setup to manage such patients.
Perceived Quality of Educational Technology Matters

In large-scale international assessments such as the Programme for International Student Assessment (PISA), the Trends in International Mathematics and Science Study (TIMSS), or the Progress in International Reading Study (PISA), research has struggled to find positive associations between the frequency of educational technology use in schools and student achievement. While computer use at home showed a tendency for positive correlations with test scores, computer use in schools did not. Following a different approach, the study reanalyzes PISA 2012 data by combining frequency of use and positive perceptions with regard to educational technology as predictors for student test scores. When controlling for influential sociodemographic factors, results indicate that positive attitudes toward educational technology are associated with higher test scores in the large majority of countries. As positive attitudes are likely to be a result of positive experiences, it seems reasonable to conclude that it might be quality instead of quantity of educational technology use that matters.
Fine phonetic detail in prosody. Cross-language differences need not inhibit communication

Two experiments are directed towards the ‘function’ and ‘communication’ themes of this volume. They examine the auditory consequences and the communicational effect of systematic differences that have been found between Bulgarian and German in the production of phrasal prominence. In experiment one, five unmanipulated versions of a German sentence differing in focus, and therefore in the degree of prominence of two critical words implicated in the focus conditions, were presented in pairs to Bulgarian and German subjects. Their task was to judge the degree to which the prominence of the critical words differed. In a second experiment, the questions used to elicit the different focus realizations of the sentence were paired with each of the focus versions. Subjects were asked to judge how well the answer matched the question. In the meta-linguistic first task, evidence was found to support the hypothesis that the greater use of signal intensity in Bulgarian prominence production is paralleled by greater sensitivity to intensity differences in perception. In the functional second task, there was no indication that the differences in production and indeed the greater sensitivity to signal intensity have any communicational consequences.
Chemical Aspects Of Photodynamic Therapy

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Some topics on deterministic scheduling problems

Sequencing and scheduling problems are motivated by allocation of limited resources over time. The goal is to find an optimal allocation where optimality is defined by some problem specific objectives. This dissertation considers the scheduling of a set of n tasks, with precedence constraints, on m ≥ 1 identical and parallel processors so as to minimize the makespan. Specifically, it considers the situation where tasks, along with their precedence constraints, are released at different times, and the scheduler has to make scheduling decisions without knowledge of future releases. Both preemptive and nonpreemptive schedules are considered. This dissertation shows that optimal online algorithms exist for some cases, while for others it is impossible to have one. The results give a sharp boundary delineating the possible and the impossible cases. Then an O(n log n)-time implementation is given for the algorithm which solves P | p j = 1, rj, outtree | ∑Cj and P | pmtn, pj = 1, r j, outtree | ∑Cj. A fundamental problem in scheduling theory is that of scheduling a set of n unit-execution-time (UET) tasks, with precedence constraints, on m ≥ 1 parallel and identical processors so as to minimize the mean flow time. For arbitrary precedence constraints, this dissertation gives a 2-approximation algorithm. For intrees, a 1.5-approximation algorithm is given. Six dual criteria problems are also considered in this dissertation. Two open problems are first solved. Both problems are single machine scheduling problems with the number of tardy jobs as the primary criterion and with the total completion time and the total tardiness as the secondary criterion, respectively. Both problems are shown to be NP-hard. Then it focuses on bi-criteria scheduling problems involving the number of tardy jobs, the maximum weighted tardiness and the maximum tardiness. NP-hardness proofs are given for the scheduling problems when the number of tardy jobs is the primary criterion and the maximum weighted tardiness is the secondary criterion, or vice versa. It then considers complexity relationships between the various problems, gives polynomial-time algorithms for some special cases, and proposes fast heuristics for the general case.
Automated Membrane Detection in Electron Microscopy using Convolutional Neural Networks

A well-known problem in order to analyze electron microscopy images is that the corresponding segment extraction typically is a tedious and time-consuming process. This is due to the currently used image processing techniques which are hampered by large time or memory consumption or simplistic underlying models. Advanced techniques that obtain high segmentation quality exist, but suffer from practical limitations such as difficult algorithm interpretability or parameter dependencies. We therefore propose a trainable segmentation technique that is based on convolutional neural networks and extracts mitochondrial membranes from EM images. The training phase depends on a limited number of manually annotated samples. Once the model is trained, segmentation becomes completely parameter-independent.
The archaeology of knowledge

We may not be able to make you love reading, but archaeology of knowledge will lead you to love reading starting from now. Book is the window to open the new world. The world that you want is in the better stage and level. World will always guide you to even the prestige stage of the life. You know, this is some of how reading will give you the kindness. In this case, more books you read more knowledge you know, but it can mean also the bore is full.
Best Approximation In Inner Product Spaces

I can still remember being surprised and delighted to discover, back in high school, that drawing the 'best' straight line to fit a set of data was not a matter of artistic skill, but a mathematically precise problem with a simple, elegant solution. This problem, widely known as least-squares regression, is an elementary example in the theory of best approximation in inner product spaces. The general setup is as follows. Let X be an inner product space, with the norm defined as usual in terms of the inner product as x = x, x 1/2. Given a subset K of X and a point x ∈ X, we seek a point y 0 ∈ K such that y 0 − x = min y∈K y − x. Such a point y 0 , if it exists, is called a best approximation to x from K. It turns out that many approximation problems can be reformulated in these terms. Here are some of the questions that arise. Given x and K, does a best approximation y 0 exist? If so, then is it unique? How does one recognize it? Are there useful algorithms for finding it? How does it vary as x varies? Can one readily compute the error of approximation y 0 −x, or, if not, then at least estimate it? To answer these questions, it is necessary to develop a certain number of functional analytic tools. For example, the problem of existence and uniqueness
The Regional Vocabulary Of Texas

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An improved imperialist competitive algorithm for multi-objective optimization

This article proposes an improved imperialistic competitive algorithm to solve multi-objective optimization problems. The proposed multi-objective imperialistic competitive algorithm (MOICA) uses the elitist strategy, based on the mutation and crossover as in genetic algorithms, and the Pareto concept to store simultaneously optimal solutions of multiple conflicting functions. Three performance metrics are used to evaluate the performance of the new algorithm: convergence to the true Pareto-optimal set, solution diversity and robustness, characterized by the variance over 10 runs. To validate the efficiency of the proposed algorithm, several multi-objective standard test functions with true solutions are used. The obtained results show that the MOICA outperforms most of the methods available in the literature. The proposed algorithm can also handle multi-objective engineering design problems with high dimensions.
Finding homologous genes with primers designed using evolutionary models

Genes homologous to a set of known, aligned, genes can be found by screening DNA libraries with PCR. PCR primers for such screens are commonly designed via a method described by Sells and Chernoff (1995). This standard design method does not make use of information about the evolutionary relationship between the known genes. The present study investigated the efficacy of using information about evolutionary relationships (inferred from the sequence data) in the design of PCR primers. This study compares the standard primer design method (represented herein by a modified multinomial distribution) with evolutionary model based primer design methods. The primer design method that, given an alignment of known sequences with one sequence left out, assigned a higher probability, on average, to the left-out sequence, was defined as the better method. By this measure of relative performance, an evolutionary model based primer design method sensitive to states correlated across sites of a sequence, outperformed the standard method, on the alignments studied.
Improvements on colour histogram-based CBIR

This thesis tries out a number of new image retrieval techniques with the aim of improving the results of global colour histograms. It also looks at how to measure the effectiveness of such methods. Instead of relying solely on ground-truth databases this project suggests more use of questionnaires for this purpose. Although the CBIR methods suggested did not improve on traditional colour histograms, the questionnaire shows people are not necessarily in agreement with the results from the ground truth sets.
The Ending of Sense: Death as Closure in Lucretius Book 6

Dis Manibus Peter James Connor Of the things that wisdom provides for blessedness throughout life, by far the greatest is the possession of friendship.Epicurus, Principal Doctrines 27 No man is an Iland, intire of it selfe…any mans death diminishes me, because I am involved in Mankinde; And therefore never send to know for whom the bell tolls; It tolls for thee.John Donne, Devotions 17 That Lucretius should choose to end his Epicurean representation of the world with a long and harrowing account of the plague that struck Athens in 430 BCE is certainly one of the more remarkable facts in classical Roman poetry. More remarkable still is the suddenness of the ending. The poem simply breaks off as one critic says ‘almost in mid-sentence’; and even if we follow this same critic in tidying up the end by transferring 6.1247-51 to follow 1286 we are still left very much in mediis rebus, with the plague at its height and death and misery all around. Our initial response is one of surprise and puzzlement as we feel cheated of a sense of an ending; this in turn leads to questions about overall design and authorial intent. Why does the poem end this way? Indeed, has it ended at all?
Psychopathology from infancy to adulthood: The mysterious unfolding of disturbance in time

Un modele pour le developpement de ce mecanisme est offert ainsi que la preuve qu'il fonctionne, dans cinq domaines: (i) la nature de l'association de l'attachement precoce et du fonctionnement cognitif subsequent, (ii) preuve de l'association entre l'attachement secure et la facilite avec laquelle les etats internes sont compris et representes, (iii) la valeur de prediction limitee de la classification de l'attachement, (iv) les etudes des fonctions biologiques de l'attachement chez d'autres especes mammiferes et (v) des etudes de facteur analytique d'echelles d'attachement adulte qui suggerent l'independance entre le type d'attachement et la qualite d'attachement. L'auteur propose provisoirement que l'attachement durant la petite enfance a la fonction evolutionnaire principale de generer un esprit capable d'inferer et d'attribuer des etats de motivation et des etats epistemiques causals, et au travers sont capables d'arriver a une representation du self en termes d'un set d'attributs intentionnels stables et generalises assurant par la meme une collaboration sociale, alors que l'attachement a l'âge adulte sert de fonction evolutionnaire pour proteger la representation du moi des empietements que les rencontres sociales creent inevitablement. Une pathologie severe de la personnalite decoule lorsque le mecanisme d'attachement psychosocial est deforme et dysfonctionnel et ne peut pas remplir sa fonction biologique de preservation de la nature intacte de la representation du moi.
THE EFFECT OF SELF-INSTRUCTIONS ON THE RATE OF CORRECT ADDITION PROBLEMS WITH MENTALLY RETARDED CHILDREN

This study investigated the effects of self-instructions on math performance of moderately mentally retarded elementary school children. The self-instruction package included training students to make statements directed toward general work habits (e.g., "Remember to work slowly and carefully." and "Keep your eyes on your paper."), as well as taskspecific statements (e.g., "Which is the biggest number? " and "Write the biggest number and put marks next to it for the other number."). The experimental conditions, conducted in the context of a multiple baseline design across students, resulted in meaningful increases in the rate of correctly performed math problems for three of the four students. The findings are discussed in terms of their practicality for classroom application and in relation to current research issues.
Modeling words for online sexual behavior surveillance and clinical text information extraction

How do we model the meaning of words? In domains like information retrieval, words have classically been modeled as discrete entities using 1-of-n encoding, a representation that elides most of a word’s syntactic and semantic structure. Recent research, however, has begun exploring more robust representations called word embeddings. Embeddings model words as a parameterized function mapping into an n-dimensional continuous space and implicitly encode a number of interesting semantic and syntactic properties. This dissertation examines two application areas where existing, state-of-the-art terminology modeling improves the task of information extraction (IE) – the process of transforming unstructured data into structured form. We show that a large amount of word meaning can be learned directly from very large document collections. First, we explore the feasibility of mining sexual health behavior data directly from the unstructured text of online “hookup” requests. The Internet has fundamentally changed how individuals locate sexual partners. The rise of dating websites, location-aware smartphone apps like Grindr and Tinder that facilitate casual sexual encounters (“hookups”), as well as changing trends in sexual health practices all speak to the shifting cultural dynamics surrounding sex in the digital age. These shifts also coincide with an increase in the incidence rate of sexually transmitted infections (STIs) in subpopulations such as young adults, racial and ethnic minorities, and men who have sex with men (MSM). The reasons for these increases and their possible connections to Internet cultural dynamics are not completely understood. What is apparent, however, is that sexual encounters negotiated online complicate