Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of Integrated Arts Instruction on Student Achievement of Fourth Grade Urban Students in English Language Arts and Mathematics

This study is a quantitative study of the impact of arts integration on the academic achievement in English language arts and mathematics of urban fourth-grade students. The data were the results of a federally funded Arts Education Model Development and Dissemination (AEMDD) grant project from 2006-2009 implemented in a large urban school district. This secondary analysis used the data from 2009, the third and final year of the AEMDD study. The analysis used the New York State ELA and mathematics test scores of fourth graders as the measure to determine if arts integration had an effect on student achievement in these two content areas. Additionally, this analysis was conducted to determine which art form, music, visual art, theater, or dance had the greatest impact. Data were analyzed using SPSS 16.0. The ANOVA results indicate that integrated arts instruction has a positive impact on student achievement in ELA and mathematics at grade four. The Pairwise Comparison with the Bonferroni Correction was used to determine the effect of the specific art form used as the intervention to determine which of the arts forms had the greatest effect on fourth grade student achievement in ELA and mathematics. It was determined that visual art had a significant effect on the fourth-grade students’ performance in mathematics and that music had a significant effect on the academic achievement of urban fourth graders in ELA. Teachers, school and policy makers need to support arts integration as a means of increasing student achievement. Document Type Dissertation Degree Name Doctor of Education (EdD) Department Executive Leadership First Supervisor Diane Reed Second Supervisor Bruce Blaine Subject Categories Education This dissertation is available at Fisher Digital Publications: https://fisherpub.sjfc. edu/education_etd/59 The Impact of Integrated Arts Instruction on Student Achievement of Fourth Grade Urban Students in English Language Arts and Mathematics
Dimerization of Firing Factors for Replication Origin Activation in Eukaryotes: A Crucial Process for Simultaneous Assembly of Bidirectional Replication Forks?

Simple Summary Chromosomal DNA must be faithfully duplicated and segregated into two daughter cells when cells divide. DNA synthesis initiates from specific regions known as the origins of replication. When it starts, a pair of the replication fork is established, and each replication fork moves away from replication origins. In each replication fork, replicative helicase unwinds DNA from a double to a single strand. This implies that two sets of active helicase are generated from each replication origin. To make this possible, two sets of replicative helicases are loaded onto replication origins as inactive dimers first. When S-phase specific cyclin-dependent kinases, S-CDKs, are activated, the inactive helicase is converted into the active helicase with the aid of other factors called firing factors. Although two sets of firing factors seem to be required to activate two sets of helicase, it is largely unknown whether two sets of firing factors function simultaneously to establish bidirectional replication forks in a coordinated way. We introduce our current understanding of firing factor dimerization and discuss its potential contribution to bidirectional replication fork formation in this review. Abstract Controlling the activity of the heterohexameric Mcm2–7 replicative helicase is crucial for regulation of replication origin activity in eukaryotes. Because bidirectional replication forks are generated from every replication origin, when origins are licensed for replication in the first step of DNA replication, two inactive Mcm2–7 heterohexiameric complexes are loaded around double stranded DNA as a head-to-head double hexamer. The helicases are subsequently activated via a ‘firing’ reaction, in which the Mcm2–7 double hexamer is converted into two active helicase units, the CMG complex, by firing factors. Dimerization of firing factors may contribute to this process by allowing simultaneous activation of two sets of helicases and thus efficient assembly of bidirectional replication forks. An example of this is dimerization of the firing factor Sld3/Treslin/Ticrr via its binding partner, Sld7/MTBP. In organisms in which no Sld7 ortholog has been identified, such as the fission yeast Schizosaccharomyces pombe, Sld3 itself has a dimerization domain, and it has been suggested that this self-interaction is crucial for the firing reaction in this organism. Dimerization induces a conformational change in Sdl3 that appears to be critical for the firing reaction. Moreover, Mcm10 also seems to be regulated by self-interaction in yeasts. Although it is not yet clear to what extent dimerization of firing factors contributes to the firing reaction in eukaryotes, we discuss the possible roles of firing factor dimerization in simultaneous helicase activation.
Quantitative Prediction of Low-Permeability Sandstone Grain Size Based on Conventional Logging Data by Deep Neural Network-Based BP Algorithm

The median grain size of rock is the main basis for the identification of sedimentary facies, and the variation of the median grain size of rock can be used to obtain the stratum sedimentary rhythm and thus to classify the flow unit. Therefore, the median grain size of rock is an extremely important parameter for reservoir evaluation. However, there is no petrophysical method that can directly evaluate the median grain size of rock in the logging data. The predecessors used natural gamma logging data to calculate the median rock grain size (Md) based on linear and statistical analysis for medium-high porosity and permeability sandstone reservoirs work. However, for low-permeability sandstone reservoirs, the error in the fitted median grain size of rock using linear multiple regression methods is too large for the calculated results to be applied. Therefore, the calculation of the median grain size of low-permeability sandstone reservoirs is a difficult problem to be solved. In this paper, the sensitivity logging parameters of median rock grain size are optimized for low permeability sandstone reservoirs using principal component analysis obtained the grain size direction correlation curves (DEN, CNL,GR, and RD) in the study area, and the corresponding loss and activation functions are selected based on the learning characteristics of the nonlinear mapping of the logging data and the BP neural network to ensure that overfitting occurs. The best model was obtained by using decision tree, support vector machine, shallow and deep neural networks to model the median rock grain size and predict neighboring wells, and a comparative analysis showed that for the problem of predicting the median rock grain size in low-permeability sandstone reservoirs, the deep neural network improved significantly over the shallow one and was much stronger than other machine learning methods. The best model obtained a coefficient of determination ( R 2 ) of 0.9831. Machine learning of median grain size from conventional logging data was systematically carried out through conventional logging sensitivity curve optimization, algorithm modeling, network parameter optimization, median grain size prediction, and validation, and the relative error in its quantitative prediction met application requirements. This method takes into account the nonlinear mapping relationship between the logging data and the fitting of small sample data and provides a systematic way of thinking for the logging curve to predict the grain size of low-permeability sandstone.
Polymer-Magnetic Semiconductor Nanocomposites for Industrial Electronic Applications

Nanocomposite materials have acquired great importance, as have similar composite materials on a macroscopic scale, because the reinforcement complements the defects in the properties of the matrix, thus obtaining materials with better mechanical, thermal, and electrical properties, among others. At the same time, the importance and research of polymeric nanocomposites reinforced with nanoparticles of various types have grown. Among those that have stood out the most in the electronics industry are polymeric matrices reinforced with nanoparticles that present dual behavior, that is, both magnetic and semiconductor. This property has been very well used in developing electronic devices such as televisions, computers, and smartphones, which are part of everyday life. In this sense, this review presents a compilation of the synthetic methods to produce polymer nanocomposites with dual magnetic and semiconductor behavior and their potential applications within electronic fields and new relevant trends.
Provided for Non-commercial Research and Educational Use Only. Not for Reproduction, Distribution or Commercial Use. Use of Dimedone-based Chemical Probes for Sulfenic Acid Detection: Methods to Visualize and Identify Labeled Proteins Author's Personal Copy

benefit and for the benefit of the author's institution, for non-commercial research and educational use including without limitation use in instruction at your institution, sending it to specific colleagues who know you, and providing a copy to your institution's administrator. All other uses, reproduction and distribution, including without limitation commercial reprints, selling or licensing copies or access, or posting on open internet sites, your personal or institution's website or repository, are prohibited. For exceptions, permission may be sought for such use through Elsevier's permissions site at: Targeted approaches: Western blot of affinity-enriched proteins to analyze proteins of interest 103 3.2. Targeted approaches: Immunoprecipitation of protein of interest followed by Western blot to detect biotin 104 3.3. Controls for endogenous biotinylation 106 3.4. Global approaches: Identification of overall sulfenic acid levels for cellular proteins in response to stimuli 106 3.5. Global approaches: Identification of oxidized proteins by mass spectrometry after biotin affinity capture 110 3.6. Identification of oxidized cysteine by MS–MS analysis 110 4. Summary 112 Abstract Reversible thiol modification is a major component of the modulation of cell-signaling pathways by reactive oxygen species. Hydrogen peroxide, peroxyni-trite, or lipid hydroperoxides are all able to oxidize cysteines to form cysteine sulfenic acids; this reactive intermediate can be directly reduced to thiol by cellular reductants such as thioredoxin or further participate in disulfide bond formation with glutathione or cysteine residues in the same or another protein. To identify the direct protein targets of cysteine modification and the conditions under which they are oxidized, a series of dimedone-based reagents linked to affinity or fluorescent tags have been developed that specifically alkylate and trap cysteine sulfenic acids. In this chapter, we provide detailed methods using one of our biotin-tagged reagents, DCP-Bio1, to identify and monitor proteins that are oxidized in vitro and in vivo. Using streptavidin-linked agarose beads, this biotin-linked reagent can be used to affinity capture labeled proteins. Stringent washing of the beads prior to elution minimizes the contamination of the enriched material with unlabeled proteins through coimmunoprecipita-tion or nonspecific binding. In particular, we suggest including DTT in one of the washes to remove proteins covalently linked to biotinylated proteins through a disulfide bond, except in cases where these linked proteins are of interest. We also provide methods for targeted approaches monitoring cysteine oxidation in individual proteins, global approaches to follow total cysteine oxidation in the cell, and guidelines for proteomic analyses to identify …
Monte Carlo Calculation of Dancoff Factors in Irregular Geometries

A Monte Carlo program is described that calculates Dancoff factors in arbitrary arrangements of cylindrical or spherical fuel elements. The fuel elements can have different diameters and material compositions, and they are allowed to be black or partially transparent. Calculations of the Dancoff factor is based on its collision probability definition. The Monte Carlo approach is recommended because it is equally applicable in simple and in complicated geometries. It is shown that some of the commonly used algorithms are inaccurate even in infinite regular lattices. An example of application includes the Canada deuterium uranium (CANDU) 37-pin fuel bundle, which requires different Dancoff factors for the symmetrically different fuel pin positions.
A Pole Placement-Based Output Tracking Control Scheme by Finite-and-Quantized Output Feedback

This letter proposes a finite-and-quantized output feedback output tracking control scheme for possibly non-minimum phase discrete-time linear systems that are subject to output quantization and saturation. An analytical pole placement-based control law is proposed by solely utilizing the finite-and-quantized output and the external reference output. The closed-loop stability and output tracking analysis are essentially different from the classical pole placement method. It needs to overcome some new technical issues caused by finite-and-quantized output feedback, such as how to realize closed-loop stability while restricting the finite quantization of the output measurement. This letter demonstrates that by appropriately designing the quantizer’s sensitivity, the proposed control law ensures all closed-loop signals are bounded, and the output tracking error converges to a certain residual set of the origin within a certain finite time, regardless of the existence of unstable zeros and poles in the control systems. Particularly, the residual set can be arbitrarily small under a specified design condition. Finally, a representative example validates the proposed control scheme.
Model Edukasi Program Aktivitas Fisik Berbasis Masyarakat dalam Menurunkan Glukosa Darah

Perilaku menetap merupakan faktor risiko terbesar terjadinya Diabetes Mellitus (DM) atau komplikasinya. Salah satu penyebab perilaku menetap adalah kurangnya pengetahuan tantang pentingnya aktivitas fisik dalam mengendalikan glukosa darah untuk mencegah terjadinya DM. Tujuan pengabdian masyarakat ini adalah untuk mengenalkan pentingnya aktivitas fisik menggunakan model edukasi berbasis pemberdayaan masyarakat untuk mengendalikan glukosa darah, terutama pada pasien DM. Jumlah peserta yang mengikuti kegiatan ini sebanyak 50 peserta, yang terdiri dari 29 masyarakat tidak terdiagnosis DM dan 21 masyarakat terdiagnosis DM. Hasil pengabdian masyarakat menunjukkan bahwa metode edukasia yang dilanjutkan dengan praktik aktivitas fisik dapat meningkatkan pengetahuan tentang pentingnya aktivitas fisik dalam menurunkan glukosa darah. Edukasi kesehatan dilakukan pada masyarakat yang menderita DM maupun masyarakat umum. Setelah edukasi kesehatan, dilanjutkan dengan diskusi kelompok dan latihan bersama. Simpulan pengabdian masyarakat ini adalah model edukasi program aktivitas fisik berbasis masyarakat dalam bentuk diskusi kelompok dan praktik langsung aktivitas fisik dapat meningkatkan pengetahuan tentang pentingnya mengendalikan glukosa darah. Saran, pemerintah dan institusi pendidikan perlu meningkatkan upaya preventif dan promotif untuk meningkatkan perilaku aktivitas fisik dalam upaya mengendalikan DM di wilayah kabupaten Sleman lainnya.
On the Hydrodynamics of Stellar Pulsation and Stability (invited review)

Much of our knowledge of the hydrodynamics of stellar oscil lations is summarized in the now-classical article by Ledoux & Walraven in volume 51 of the Handbuch der Physik. It is from that article that I, and many others, first learned the subject. Most of what we have learned since, aside, perhaps, from what we have learned from nonlinear stud ies, derives from that work. Even today, what is written in that work is hardly out of date. It is not possible to do justice to even the most outstanding contents of Ledoux Sz Walraven's article in a single talk, so I highlight some aspects of further developments that have been of more recent interest, trying to set them into a context of current understanding.
The Role of Construction Grammar in Fluid Language Grounding

The paper examines in how far Construction Grammar is a useful foundation by which artificial agents can self-organise communication systems that are grounded in the real world through a sensori-motor embodiment and use grammar to express certain aspects of meaning. It proposes a particular computational formalism, Fluid Construction Grammar, and mechanisms by which constructions can be progressively built up and shared by agents as they engage in verbal interactions about real world scenes.
Finite Element Modeling and Test of Piezo Disk with Local Ring Electrodes for Micro Displacement

A new piezoelectric actuator combining interdigitated ring electrodes and a PZT-52(Lead Zirconate Titanate) disk was investigated for the large displacement requirements of piezoelectric actuators. Finite element models were established according to the structural characteristics of the actuator and static analysis was carried out based on ANSYS software. Then Ø25 mm × 2 mm samples were prepared. The displacement detection system was established, and the influence of electrode structure on radial displacement was studied experimentally. A comparison between the experimental results and the finite element analysis confirmed that the finite element model was correct. The results showed that the effect of electrode width on displacement was small. With decrease in electrode center distance and increase in the number of electrodes pairs, the radial displacement increased correspondingly. The peak of radial displacement was 1.63 μm under a 200 V voltage excitation voltage of 0.2 Hz. This was 2.5 times that for a conventional electrode piezo disk with the same structure. The actuator demonstrated better displacement properties. The piezoelectric disk could be valuable in applications involving micro-nano devices.
Assessing the effectiveness of learning a complex motor activity in children aged 9-10 years

Introduction Learning is a complex and multi-dimensional process that depends on cognitive and emotional processes and the development of functional systems of the human body. One type of learning is motor learning. Its course and effects depend on many factors, one of the factors may be gender. Differences between intellectual and motor learning tend to be blurred when learning a complex motor activity takes place. Purpose The cognitive aim of the study is to assess the effectiveness (speed, efficiency, durability) of learning a complex motor activity in a selected group of girls and boys. Materials and methods: The study was conducted among 73 children (44 boys and 29 girls) aged 9 - 10 years. The teaching experiment method consisting of three stages was used. The research tool is a program of learning to juggle with three tennis balls. Learning speed was assessed using the Learning Speed Rate (LSR); efficiency was based on the results of subsequent stages as part of the experiment, whereas durability was evaluated on the basis of the effect compliance between stages of the experiment. Results: The speed, efficiency and durability of learning a complex motor activity in children participating in the study showed similar levels. Slow learning was dominant among both girls and boys. Yet, boys achieved better learning effects than girls, but these differences were not statistically significant. The subjects showed high durability of learning effects. Conclusions: The effectiveness of learning a complex motor activity is characterized by inter-subject variability. Gender makes distinction in terms of speed, efficiency and durability of learning a complex motor activity.
Evolution of Structure and Properties of Micro-Nano Structure 2507 Duplex Stainless Steel Prepared by Aluminothermic Reduction

In this work, a large ingot of micro-nano structure 2507 duplex stainless steel was prepared in a single step using the aluminothermic reaction method. Chromium having different excess fractions were added to reaction powders to make up for evaporation loss, and the results show that the composition and structure of 2507 duplex stainless steel with a chromium excess ratio of 70% are satisfactory. The volume fraction of nanocrystalline in as-cast alloy was 41% and the average grain size was 34 nm. Additionally, the anticipated steels were rolled roughly with deformation of 40% at 1000 °C and followed by fine rolling with deformation of 30, 50 and 70%, separately, at 800 °C. Then, the effects of rolling deformation and precipitation on mechanical properties were studied in detail. Compared with the as-cast alloy, there was no phase transformation in the alloys with deformation of 30 and 50%, and they were still composed of γ and α phases, whereas the σ phase appeared in the alloy with deformation of 70%. When the deformation was 50%, the rolled alloy achieved the best performance, and the tensile strength, yield strength, and elongation were 912 MPa, 523 MPa, and 24.3%, respectively.
Multiresonant metasurface for Raman spectroscopy beyond single molecule detection level

A metasurface in the metal-insulator-grating configuration is designed and optimised to support enhancement of coherent Raman signal of selected molecules orders of magnitude above the single-molecule detection threshold. The tunability is demonstrated by adjusting the structure to match selected Raman peaks of rhodamine, however, its spectral response is broad enough to cover a range of Raman shifts. Finally, the grating allows switching between distinct values of Raman shift with a single metasurface illuminated at different angles.
Where Do We Stand in the Behavioral Pathogenesis of Inflammatory Bowel Disease? The Western Dietary Pattern and Microbiota—A Narrative Review

Despite the increasing knowledge with regard to IBD (inflammatory bowel disease), including ulcerative colitis (UC) and Crohn’s disease (CD), the etiology of these conditions is still not fully understood. Apart from immunological, environmental and nutritional factors, which have already been well documented, it is worthwhile to look at the possible impact of genetic factors, as well as the composition of the microbiota in patients suffering from IBD. New technologies in biochemistry allow to obtain information that can add to the current state of knowledge in IBD etiology.