Miracle-dz/UniFAR-FTUs huggingface dataset:
The Qualitative Report The Qualitative Report Contextual Considerations: Revision of the Wiliam and Thompson Contextual Considerations: Revision of the Wiliam and Thompson (2007) Formative Assessment Framework in the Jamaican (2007) Formative Assessment Framework in the Jamaican Context Context

Abstract The research context should be carefully considered in qualitative, quantitative, and mixed methods research as it influences the efficacy of the processes and outcomes. This paper describes how contextual factors in the teaching of English in Jamaican secondary schools led to changes in the Wiliam and Thompson (2007) formative assessment framework. Data collected through interviews and observations of 32 teachers of English in the qualitative phase of a mixed-methods study reinforced the conceptualization of formative assessment as a unified framework. However, they elucidated the manifestations of Jamaica’s colonial past and the language context in Jamaican classrooms that necessitated changes to a widely accepted framework. Changes were made to the sequencing of the five aspects to ensure a more effective implementation of the framework in the Jamaican context. The research context should be carefully considered in qualitative, quantitative, and mixed methods research as it influences the efficacy of the processes and outcomes. This paper describes how contextual factors in the teaching of English in Jamaican secondary schools led to changes in the Wiliam and Thompson (2007) formative assessment framework. Data collected through interviews and observations of 32 teachers of English in the qualitative phase of a mixed-methods study reinforced the conceptualization of formative assessment as a unified framework. However, they elucidated the manifestations of Jamaica’s colonial past and the language context in Jamaican classrooms that necessitated changes to a widely accepted framework. Changes were made to the sequencing of the five aspects to ensure a more effective implementation of the framework in the Jamaican context.
Study of the effect of Tadalafil on the Contractility of Isolated Non- Pregnant Human Myometrium

OBJECTIVES : The study was conducted to determine whether tadalafil inhibits the potassium chloride (KCl)-induced contractility of isolated non-pregnant human myometrium, and if so, to study the probable mechanism of action involved. METHODS : Myometrial tissue was obtained from 11 patients who underwent hysterectomy. The effect of tadalafil on 55 mM KCl induced contractility of isolated non-pregnant human myometrium was studied using a physiograph. The ability of the specific calcium sensitive potassium (BKCa) channel blocker iberiotoxin (100 nM) to reverse the inhibitory effect of 40 μM tadalafil on KCl induced myometrial contractility was also studied. The percent inhibition caused by tadalafil with and without iberiotoxin was calculated and statistically analyzed using the Wilcoxon signed-rank test in ‘R’ program (3.1.1). RESULTS : Tadalafil produced a statistically significant inhibition of KCl induced myometrial contractility. The inhibition of 40 μM tadalafil on myometrial contractility was totally and significantly reversed by the concurrent administration of iberiotoxin. These results suggest that tadalafil inhibits the contractility of isolated non-pregnant human myometrium. The results also suggest that tadalafil does so by opening BKCa channels. Hence tadalafil could possibly be evaluated for use as a uterine relaxant for the management of clinical conditions like preterm labour that require myometrial relaxation.
Dopamine Transporter Imaging, Current Status of a Potential Biomarker: A Comprehensive Review

A major goal of current clinical research in Parkinson’s disease (PD) is the validation and standardization of biomarkers enabling early diagnosis, predicting outcomes, understanding PD pathophysiology, and demonstrating target engagement in clinical trials. Molecular imaging with specific dopamine-related tracers offers a practical indirect imaging biomarker of PD, serving as a powerful tool to assess the status of presynaptic nigrostriatal terminals. In this review we provide an update on the dopamine transporter (DAT) imaging in PD and translate recent findings to potentially valuable clinical practice applications. The role of DAT imaging as diagnostic, preclinical and predictive biomarker is discussed, especially in view of recent evidence questioning the incontrovertible correlation between striatal DAT binding and nigral cell or axon counts.
A kutatómunka jelentősége a szociális munka hivatássá válásában

The article interprets social work research as a distinct field, characterized by specific questions, appraoches and methodologies within the broad area of social research – this differentiation is new in Hungary. Reviewing the development of social work research, the author outlines possible developmenal directions; and comments on the role of social work research in the development of social work practice and professionalization.
Factors associated with the whole foods consumption by adults and elderly

Objectives: Evaluate associated factors to the consumption of whole foods by adults and elderly people. Methods: Cross-sectional study carried out in a municipality in the southwest of Paraná, in which an interview was conducted, comprising 41 objective questions, in adults and the elderly. The factors associated with the consumption of whole foods were evaluated using logistic regression models. Results: The sample consisted of 388 people, predominantly of women, white people, resident in the urban area, with more than 11 years of schooling belonging to socioeconomic class B2-C1. More than a half of the participants reported consuming whole foods (54.6%), however, 21.23% consumed them of irregular form. It was noticed that the female people (Odds Ratio: 2.24; CI 95%=1.38-3.65), physically actives (Odds Ratio: 3.33; CI 95%=1.89–5.87), and that had a greater knowledge about whole foods (Odds Ratio: 1.66; CI 95%=1.01–2.74) had greater chances of consuming them. Related to the regular consumption of these foods, overweight people (Odds Ratio: 0.45; CI 95%=0.21–0.96) presented less chances of ingestion, and the mean of communication and the health professional (Odds Ratio: 2.78; CI 95%=1.07–7.18) presented positive influence in regular consumption of whole foods. Conclusions: There is a need to increase the consumption of whole foods in specific audiences, such as men, sedentary, lower economic class, individuals who do not have knowledge about whole foods and those who are overweight.
How do Laboratory Friction Parameters Compare With Observed Fault Slip and Geodetically Derived Friction Parameters? Insights From the Longitudinal Valley Fault, Taiwan

Laboratory measurements of constitutive frictional parameters are commonly inferred to explain the wide variety of slip behavior seen on natural faults. The extent to which these small‐scale measurements directly relate to fault slip behavior remains obscure. In this work, we compare laboratory‐determined frictional parameters on surface‐derived samples from along the length of the Longitudinal Valley Fault (LVF) in Taiwan with the observed slip behavior and with frictional parameters obtained geodetically. The LVF displays partially locked and creeping sections and a Mw 6.8 event in 2003 produced transient acceleration of slip in the adjacent creeping sections that can be used to determine the frictional parameters for direct comparison with the laboratory‐measured ones. We find that the laboratory‐measured friction parameters are markedly different for samples collected from the creeping and partially locked sections of the fault, the former showing lower friction coefficients and more positive values of the fault stability parameter (a−b). Moreover, values for the product of (a−b) and the effective normal stress, determined geodetically, relate very closely to those measured in the laboratory. Mineralogical and microstructural analyses of the fault gouges show that some mineralogically similar gouges produce distinctly different frictional behavior, and that this may be related to the presence and distribution of kaolinite. We conclude overall that upscaling of laboratory measurements of fault frictional properties appears to reflect well the large‐scale slip behavior of faults.
Looking across Scales in Disease Ecology and Evolution

Over the past few decades, it has become clear that ecological and evolutionary dynamics are influenced by processes operating across spatial and temporal scales. Processes that operate on small spatial scales have the potential to influence dynamics at much larger scales; for example, a change in the physiology of a primary producer can alter primary productivity in an ecosystem. Similarly, evolution—a process that historically was thought of as occurring at longer timescales—can influence ecological dynamics and vice versa. The importance of considering multiple scales is broadly true in ecology and evolution, and it is especially important for studies of disease ecology and evolution. Yet characterizing the scales at which individual studies operate is surprisingly challenging, as we (re)discovered while trying to characterize articles published in this journal over the past three decades. However, while it is difficult to determine where one scale ends and another begins, it is also clear that work that spans across a spectrum can yield insights that could not be gleaned from a narrower focus. To demonstrate this, we highlight studies previously published in this journal that show the value of working across scales. We then introduce the six articles that comprise this Focused Topic section. Together, these articles present systems, theory, and methods that provide important insights that could not have been obtained from studying a single scale in isolation.
Risk Factor Analysis and Outcomes of VAP in ICU Patients at Arifin Achmad General Hospital in 2018: Cohort Retrospective Study

: Ventilator associated pneumonia (VAP) is a nosocomial pneumonia that occurs 48 hours or more after mechanical ventilator usage through the endotracheal tube or the tracheostomy tube. VAP is one of the nosocomial infections often found in the intensive care unit (ICU). The purpose of this study was to determine the risk factors and outcomes of VAP. This study used a retrospective cohort design involving all ICU patients at Arifin Achmad General Hospital in 2018 who met the inclusion criteria. The incidence of VAP was 3.1% (95% CI 2.76 - 3.43). The onset of VAP that occurred within 5 days was 66.7%. A significant factor was history of pulmonary disease (p = 0.04) with an RR of 8.2 (95% CI 1.7 - 40.1). There was a significant correlation between the incidence of VAP and length of ICU stay (p = 0.002). The incidence of VAP in Arifin Achmad General Hospital in 2018 was 3.1%. The onset of VAP incidence is still within 5 days, so the prognosis is still good. Doctors and paramedics should pay more attention to ICU patients who have a history of pulmonary disease.
Multiyear Time-Shift Study of Bacteria and Phage Dynamics in the Phyllosphere

Coevolution shapes diversity within and among populations but is difficult to study directly. Time-shift experiments, where individuals from one point in time are experimentally challenged against individuals from past, contemporary, and/or future time points, are a powerful tool to measure coevolution. This approach has proven useful both in directly measuring coevolutionary change and in distinguishing among coevolutionary models. However, these data are only as informative as the time window over which they were collected, and inference from shorter coevolutionary windows might conflict with those from longer time periods. Previous time-shift experiments from natural microbial communities of horse chestnut tree leaves uncovered an apparent asymmetry, whereby bacterial hosts were more resistant to bacteriophages from all earlier points in the growing season, while phages were most infective to hosts from only the recent past. Here, we extend the time window over which these infectivity and resistance ranges are observed across years and confirm that the previously observed asymmetry holds over longer timescales. These data suggest that existing coevolutionary theory should be revised to include the possibility of differing models for hosts and their parasites and examined for how such asymmetries might reshape the predicted outcomes of coevolution.
Growth, radiation use efficiency and grain yield of wheat as influenced by nitrogen, tillage, and crop residue management

Abstract Soil organic carbon (SOC) sequestration is one of the major agronomic measures to mitigate green house gas emission, enhance food security, and improve agriculture sustainability. The study, therefore, aimed to evaluate crop growth (CG) and radiation use efficiency in spring wheat (Triticum aestivum L.) treated soil with residue type (RT), that is, cowpea (Vigna unguiculata) as legume (LR), maize (Zea mays L.) as cereal (CR) and no residue (NR) treatment applied (5 t ha−1) on dry matter basis. The CR was subsequently incorporated with tillage depths (TD), that is, deep (DT = 35 cm) and shallow (ST = 15 cm) as main plot treatments. The N was applied in two splits starting from 0 to 160 kg ha−1 as sub plot treatments. Experiment was conducted in two CG seasons 2009–11 at Agronomy Research Farm, the University of Agriculture Peshawar, Pakistan. Results showed the highest CG and RUE with LR incorporated than CR and/or NR with DT. Increasing N-rate resulted an increase in CG, RUE and biomass of wheat. Residue of LR or CR deeply incorporate into the soil has resulted healthy traits (i.e., tillers- and spikes number), which resulted higher biomass. Nitrogen applied 120 kg ha−1 resulted in higher CG, RUE and grain yield for treatment LR, followed by CR and the lowest for the NR. Crop of second year showed higher grain yield, which was due to healthy traits including better CG and RUE. The study suggests that CR of LR or CR nature incorporated deep into the soil can optimize crop N-fertilizer demand for optimum production, which protects environment from the excessive use of N application.
Myopathy Associated with Treatment of Graves’ Disease

Here, we report a case of an increase in serum creatine kinase (CK) concentration in an 11-year-old girl being treated for Graves’ disease with antithyroid drugs (ATDs). The patient complained of myalgia two weeks after methimazole treatment. Triiodothyronine (T3) and free thyroxine (FT4) levels were normal, but the serum CK level was significantly elevated. After switching to propylthiouracil, the serum CK level decreased to normal, and the myalgia was resolved. The development of myopathy during the treatment of hyperthyroidism may be considered as an adverse reaction of MMI. In this report, we present a rare pediatric case, along with a discussion on the possible causes of myopathy that occurred during the treatment of Graves’ disease. A careful follow-up (serum CK levels and thyroid function) and treatment reassessment should always be considered after antithyroid treatment.
Cybersecurity educational games: a theoretical framework

Purpose Computer games that teach cybersecurity concepts have been developed to help both individuals and organizations shore up their defence against cybercrimes. Evidence of the effectiveness of these games has been rather weak, however. This paper aims to guide the design and testing of more effective cybersecurity educational games by developing a theoretical framework. Design/methodology/approach A review of the literature is conducted to explore the dependent variable of this research stream, learning outcomes and its relationship with four independent variables, game characteristics, game context, learning theory and user characteristics. Findings The dependent variable can be measured by five learning outcomes: information, content, strategic knowledge, eagerness to learn/time spent and behavioral change. Game characteristics refer to features that contribute to a game’s usefulness, interactivity, playfulness or attractiveness. Game context pertains to factors that determine how a game is used, including the target audience, the skill involved and the story. Learning theory explains how learning takes place and can be classified as behaviorism, cognitivism, humanism, social learning or constructivism. User characteristics including gender, age, computer experience, knowledge and perception, are attributes that can impact users’ susceptibility to cybercrimes and hence learning outcomes. Originality/value The framework facilitates taking stock of past research and guiding future research. The use of the framework is illustrated in a critique of two research streams. Multiple research directions are discussed for continued research into the design and testing of next-generation cybersecurity computer games.
Unsupervised Dimensionality Reduction Based on Fusing Multiple Clustering Results

The majority of the classical dimensionality reduction methods can be unified into a graph-embedding-based framework. A fixed graph constructed in a high-dimensional space has been extensively employed in the graph-embedding-based dimensionality reduction methods. However, a fixed graph often cannot characterize the structure of high-dimensional data owing to the curse of dimensionality. To solve this problem, we combine graph construction and dimensionality reduction into a coherent framework. Thus, the constructed graph can be updated dynamically in dimensionality reduction. In the existing methods based on the coherent framework, graphs are usually constructed by a type of neighborhood relationship and single clustering result. This study proposes an unsupervised dimensionality reduction method guided by fusing multiple clustering results. In the proposed method, multiple clustering results are first obtained by the k-means algorithm, and then a graph is constructed using a weighted co-association matrix of fusing the clustering results to capture data distribution information. Based on the graph, we present an objective function of combining graph construction and dimensionality reduction to implement mutual guidance between them. Numerical experiments on real data sets illustrate that the proposed method achieves significant improvement over some representative and state-of-the-art unsupervised dimensionality reduction methods.
Mediating the Magic Kingdom: Instagram, Fantasy, and Identity

Abstract Disneyland is one of the most Instagrammed locations and its mediation reveals cultural changes related to place and identity. Using a grounded approach to analyze the posts of influential Instagram users who tag their posts at Disneyland, this study shows how place is mediated through new logics developed on social media. Instagram users favor fantasy elements of Disneyland, such as escapism and childhood nostalgia, over other historical elements of the parks and its midcentury U.S. American values. Disney has responded by synergistically integrating new media logics, as seen in the creation of vibrantly colored, limited-run food and merchandise. The intersection between Disneyland and Instagram shows how place is being transformed for the lenses of consumers seeking experiences, food, and merchandise in late capitalism.
An Automated Framework for Detection, Localization, and Classification of Colonic Polyp using Deep Learning

Colorectal cancer (CRC) in its advanced stage is one of the leading causes of death worldwide. However, early detection of polyps which are the precursor to such cancer can lead to better prognosis and clinical management. This report proposes an automated diagnostic technique to detect, localize, and classify polyps in colonoscopy video frames. Manual detection and localization of polyps on hugely acquired colonic frames have many limitations. Our deep learning-based framework proposes an attention-based YOLOv4 detector for polyp detection and localization. Finally, leveraging a fusion of deep and handcrafted features of the polyps, the detected polyps are classified as benign or malignant. The individual and the cross-database performances on two databases suggest the robustness of our method in polyp localization. The comparison of our approach based on significant clinical parameters with current state-of-the-art methods confirms that our method can be used for automated polyp localization in both real-time and offline colonoscopic video frames. Our method can give an average precisionof 0.8971 and 0.9171 and an average IoU of 0.8325 and 0.8179 for the Kvsir-SEG and SUN databases, respectively. Similarly, our proposed classification framework on the detected polyps yields a classification accuracy of 96.66% on a public dataset.
Nearly Consistent Finite Particle Estimates in Streaming Importance Sampling

In Bayesian inference, we seek to compute information about random variables such as moments or quantiles on the basis of available data and prior information. When the distribution of those random variables is intractable, Monte Carlo (MC) sampling is usually required. Importance sampling is a standard MC tool that approximates this unavailable distribution with a set of weighted samples. This procedure is asymptotically consistent as the number of MC samples (particles) goes to infinity. However, retaining infinitely many particles is infeasible. Thus, we propose a way to only keep a finite representative subset of particles and their augmented importance weights that is nearly consistent, i.e., they converge to a close neighborhood of their population ground truth in the large sample limit. To do so in an online manner, we (1) embed the posterior density estimate in a reproducing kernel Hilbert space (RKHS) through its kernel mean embedding; and (2) sequentially project this RKHS element onto a lower-dimensional subspace in RKHS using the maximum mean discrepancy, an integral probability metric. Theoretically, we establish that this scheme results in a bias determined by a compression parameter, which yields a tunable tradeoff between consistency and memory. In experiments, we observe the compressed estimates achieve comparable performance to the dense ones with substantial reductions in representational complexity.
Moment-to-moment regulation of voltage-gated potassium channel function

iii LAY SUMMARY . v PREFACE . vi TABLE OF CONTENTS . vii LIST OF FIGURES . xi LIST OF ABBREVIATIONS . xiii ACKNOWLEDGEMENTS . xv CHAPTER 1: INTRODUCTION . 1 POTASSIUM CHANNEL STRUCTURE AND GATING . 2 Cloning voltage-gated potassium channels. 2 Overview of Kv channel structure and tetrameric assembly . 2 Pore domain and channel activation . 4 Voltage-sensing domain and voltage-dependent activation . 6 Inactivation . 8 Mechanism of voltage sensing and gating of Kv1.2 . 10 PHYSIOLOGICAL FUNCTION OF KV1.2 . 12 Localization and function . 12 Kv1.2 channels in disease . 15 Other Kv1 family members . 19 GENERATION OF DIVERSITY IN Kv1.2 CHANNELS . 24 Kv1.2 channel heteromerization . 24 Post-translational modifications . 25 Interacting proteins . 27 AUXILIARY PROTEINS AND THEIR NON-CANONICAL FUNCTIONS. 31 a. Sodium channel β subunit (Navβ) . 31 b. Potassium channel interacting protein (KChIP) . 32 c. Fragile X Mental Retardation Protein (FMRP) . 34 d. Calmodulin (CaM) . 35 V. MOMENT-TO-MOMENT REGULATION OF ION CHANNELS . 36 N-type Voltage-gated calcium channels . 37 AMPA receptor and stargazin. 38 Use-dependent activation of Kv1.2 channels . 39 THESIS OVERVIEW . 40 CHAPTER 2: METHODS . 41