Miracle-dz/UniFAR-FTUs huggingface dataset:
An Investigation into the Preferred Learning Styles of Accounting, Management, Marketing, and General Business Majors

The research has shown that individual characteristics, past experiences, gender, and ethnic background affect students’ learning. This study investigated the preferred learning styles of accounting, management, marketing, and general business majors. According to our findings, although all four learning styles as defined by Kolb (1981) are present among all four majors of accounting, management, marketing, and general business, the vast majority of all four majors demonstrate clear preferences for the Assimilator and Converger learning styles. The results underscore the importance of a diversified teaching approach that speaks to all learning styles, with a greater emphasis on Assimilator and Converger learning styles. All students learn, but not all learn in the same way. Some grasp information best by listening, while others learn better through reading, reasoning, or discovering concepts through a hands-on experience. These different ways of learning are referred to as learning style. The research has shown that individual characteristics, past experiences, gender, and ethnic background affect students’ learning styles (Banks, 1988; Belenky, Clinchy, Goldberger, & Tarule, 1986; Knowles, 1980; Philbin, Meier, Huffman, & Bouverie, 1995). The purpose of this study was to investigate the preferred learning styles of accounting, management, marketing, and general business majors. Specifically, we have attempted to determine whether accounting, management, marketing, and general business majors are attuned to different learning styles and whether one or more specific learning modes predominate within each of these four groups.
Cortical and cytoplasmic flow polarity in early embryonic cells of Caenorhabditis elegans

We have examined the cortex of Caenorhabditis elegans eggs during pseudocleavage (PC), a period of the first cell cycle which is important for the generation of asymmetry at first cleavage (Strome, S. 1989. Int. Rev. Cytol. 114: 81-123). We have found that directed, actin dependent, cytoplasmic, and cortical flow occurs during this period coincident with a rearrangement of the cortical actin cytoskeleton (Strome, S. 1986. J. Cell Biol. 103: 2241-2252). The flow velocity (4-7 microns/min) is similar to previously determined particle movements driven by cortical actin flows in motile cells. We show that directed flows occur in one of the daughters of the first division that itself divides asymmetrically, but not in its sister that divides symmetrically. The cortical and cytoplasmic events of PC can be mimicked in other cells during cytokinesis by displacing the mitotic apparatus with the microtubule polymerization inhibitor nocodazole. In all cases, the polarity of the resulting cortical and cytoplasmic flows correlates with the position of the attenuated mitotic spindle formed. These cortical flows are also accompanied by a change in the distribution of the cortical actin network. The polarity of this redistribution is similarly correlated with the location of the attenuated spindle. These observations suggest a mechanism for generating polarized flows of cytoplasmic and cortical material during embryonic cleavages. We present a model for the events of PC and suggest how the poles of the mitotic spindle mediate the formation of the contractile ring during cytokinesis in C. elegans.
Qualitative Research Interviewing: Biographic Narrative and Semi-Structured Methods

PART ONE: CONCEPTS AND APPROACHES TO DEPTH INTERVIEWING Interview 'Facts' as Evidence to Support Inferences to Eventual Theorization/Representation Models Conceptual Frameworks for Studying and Inferring from (Research) Interview Interaction Practice Models of Research Design and Their Application to Semi-Structured Depth Interviewing Lightly and Heavily-Structured Depth Interviewing Theory-Questions and Interviewer-Questions PART TWO: UP TO THE INERVIEW: STRATEGIES FOR GETTING THE RIGHT MATERIALS Preparing for Any Interviewing Sequence Preparing Lightly-Structured Depth Interviews A Design for a BNIM-Type Biographic-Narrative Interview Preparing Moderately- or Heavily-Structured Interviews PART THREE: AROUND THE INTERVIEW: CONTACT MANAGEMENT-THEORY AND PRACTICE Before Making Contact and Starting the Fieldwork Phase of the Research Process The Session PART FOUR: AFTER THE INTERVIEW: STRATEGIES FOR WORKING THE MATERIALS Copying, Indexing and Transcribing Analyzing/Interpreting Any Interview Materials Answers to TQs Analyzing/Interpreting SQUIN-BNIM Interview Materials Answers to TQs PART FIVE: COMPARISON OF CASES: FROM CONTINGENCIES OF CASES TO TYPES OF TYPOLOGIES Resources for Typification and General-Models within Single-Case Research Types of Typologies PART SIX: WRITING UP: STRATEGIES OF RE/PRESENTATION Conceptual Frameworks for Studying and Re/presenting Writings Up: Theorizing and Narrating in 'Presentation' Strategies 'Writing Up' Biographic Sub-Genres Suggestions by Way of a Conclusion
Hidden Disabilities: Another Diverse Population

Deborah Senior creative writing class ACCENTUATE THE POSITIVE: “I urge students with learning disabilities and their families to demand the services they need and to be patient with those of us in the education establishment as we seek to understand. I also encourage educators at all levels to be sensitive to and aware of these individuals as resources and work diligently with them to provide educational opportunity to all. ” WINNER 199
Geographically Weighted Regression

Geographically weighted regression (GWR) is an exploratory technique mainly intended to indicate where non-stationarity is taking place on the map, that is where locally weighted regression coefficients move away from their global values. Its basis is the concern that the fitted coefficient values of a global model, fitted to all the data, may not represent detailed local variations in the data adequately – in this it follows other local regression implementations. It differs, however, in not looking for local variation in ‘data’ space, but by moving a weighted window over the data, estimating one set of coefficient values at every chosen ‘fit’ point. The fit points are very often the points at which observations were made, but do not have to be. If the local coefficients vary in space, it can be taken as an indication of non-stationarity. The technique is fully described by Fotheringham et al. (2002) and involves first selecting a bandwidth for an isotropic spatial weights kernel, typically a Gaussian kernel with a fixed bandwidth chosen by leave-one-out cross-validation. Choice of the bandwidth can be very demanding, as n regressions must be fitted at each step. Alternative techniques are available, for example for adaptive bandwidths, but they may often be even more compute-intensive. GWR is discussed by Schabenberger and Gotway (2005, pp. 316–317) and Waller and Gotway (2004, p. 434), and presented with examples by Lloyd (2007, pp. 79–86).
4-Cyclobutylamino-3-nitrobenzoic acid

The asymmetric unit of the title compound, C11H12N2O4, contains two crystallographically independent molecules with similar geometries. Both molecules contain an intramolecular N—H⋯O hydrogen bond. The dihedral angles between the benzene ring and the mean plane of the cyclobutane ring are 38.29 (7) and 57.04 (8)° in the two molecules, and the nitro group is twisted slightly away from the plane of the benzene ring [dihedral angles = 9.15 (12) and 9.55 (12)° in the two molecules]. In the crystal, the independent molecules are linked into dimers by O—H⋯O hydrogen bonds between their carboxyl groups, and C—H⋯O and C—H⋯π interactions are formed between dimers.
Social Decision-Making: Insights from Game Theory and Neuroscience

By combining the models and tasks of Game Theory with modern psychological and neuroscientific methods, the neuroeconomic approach to the study of social decision-making has the potential to extend our knowledge of brain mechanisms involved in social decisions and to advance theoretical models of how we make decisions in a rich, interactive environment. Research has already begun to illustrate how social exchange can act directly on the brain's reward system, how affective factors play an important role in bargaining and competitive games, and how the ability to assess another's intentions is related to strategic play. These findings provide a fruitful starting point for improved models of social decision-making, informed by the formal mathematical approach of economics and constrained by known neural mechanisms.
The Construction of Racial Identity in Children of Mixed Parentage: Mixed Metaphors

Chapter 1, Introduction. Chapter 2, The Interracial Debate. Chapter 3, Racial Attitudes and Marginality. Chapter 4, Theories of Identity Development. Chapter 5, Methodology. Chapter 6, The A Family. Chapter 7, The B Family. Chapter 8, The First Set of Interviews. Chapter 9, Second Set of Interviews. Chapter 10, Conclusions. Chapter 11, Revisiting the Theory. Appendix One: Mother's Interviews. Appendix Two: Interview Transcript.
An Empirical Model of Individual Mobile Banking Acceptance in China

Individual mobile banking has become a new business model in recent years, all kinds of factors could influence the intention of acceptance. In order to figure out the key factors that affect the intention of consumers to accept mobile banking and convert non-users to users, we rebuilt an acceptance model of mobile banking for non-users in China with the Innovation Diffusion Theory based on Technology Acceptance Model. Five independent variables were taken into our consideration, including perceived usefulness, perceived ease of use, compatibility, perceived risk and triability, and intention of acceptance as dependent variable, hence the model with multiple-regression tested. The empirical result illustrates that perceived usefulness, perceived ease of use and compatibility have a positive relationship with intention of acceptance of mobile banking in non-users while perceived risk is negative. The existed technology acceptance model would be better suitable for China after our empirical study, which is meaningful for the further research.
Dual-mode double precision / two-parallel single precision floating point multiplier architecture

Floating point multiplication is an integral part of any contemporary computing system. This paper presents a configurable dual-mode double precision floating point multiplier architecture, which can also process two-parallel single precision multiplication. This unified, double precision dual (two-parallel) single precision, architecture is named as DPdSP multiplier. The proposed architecture is based on the standard state-of-the-art flow of floating point multiplication, which can process normal and sub-normal operands along with exceptional case handling. The proposed architecture is aimed for a ASIC (UMC 90nm) implementation. The key single-mode design units in the computational flow (like mantissa multiplier, dynamic right/left shifters, leading one detector, etc) are re-designed for configurable dual-mode operation to enable efficient resource sharing. The proposed architecture is compared with the best available literature in terms of area, period and area × period / throughput complexity metric. The proposed dual mode architecture shows a significant improvement in design metrics and also provides more computation support.
Membrane Targeted Horseradish Peroxidase as a Marker for Correlative Fluorescence and Electron Microscopy Studies

Synaptic dynamics and reorganization are fundamental features of synaptic plasticity both during synaptic circuit development and in the mature CNS underlying learning, memory, and experience-dependent circuit rearrangements. Combining in vivo time-lapse fluorescence imaging and retrospective electron microscopic analysis provides a powerful technique to decipher the rules governing dynamics of neuronal structure and synaptic connections. Here we have generated a membrane-targeted horseradish peroxidase (mHRP) that allows identification of transfected cells without obscuring the intracellular ultrastructure or organelles and in particular allows identification of synaptic sites using electron microscopy. The expression of mHRP does not affect dendritic arbor growth or dynamics of transfected neurons. Co-expression of EGFP and mHRP was used to study neuronal morphology at both the light and electron microscopic levels. mHRP expression greatly facilitates 3D reconstruction based on serial EM sections. We expect this reagent will be valuable for studying the mechanisms that guide construction of neuronal networks.
Fork-consistent constructions from registers

So far, all implementations providing fork-consistent semantics are based on objects with read-modify-write capabilities (also termed servers). We propose constructions of fork-consistent shared objects from single-writer multiple-reader(SWMR) read/write base registers, that are strictly weaker than servers. Our shared object constructions provide linearizability if all base registers behave correctly, and gracefully degrade to either fork-linearizability or weak fork-linearizability if any number of registers fails Byzantine. We make the following contributions: (a) A fork-linearizable construction of a universal type where operations are allowed to abort under concurrency, and (b) a weak fork-linearizable implementation of a shared memory that ensures wait-freedom when the registers are correct.
The effect of inhomogeneous expansion on the supernova observations

We consider an inhomogeneous but spherically symmetric Lemaitre–Tolman–Bondi model to demonstrate that spatial variations of the expansion rate can have a significant effect on the cosmological supernova observations. A model with no dark energy but a local Hubble parameter about 15% larger than its global value fits the supernova data better than the homogeneous model with the cosmological constant. The goodness of the fit is not sensitive to inhomogeneities in the present-day matter density, and our best fit model has ΩM(r) ∼ 0.3, in agreement with galaxy surveys. We also compute the averaged expansion rate, defined by the Buchert equations, of the best fit model and show explicitly that there is no average acceleration.
A global pattern of mechanical stress polarizes cell divisions and cell shape in the growing Drosophila wing disc

Organismal development is under genetic control. Ultimately, mechanical forces shape embryos. If we want to understand the precise regulation of size and shape in animals, we must dissect how forces are distributed in developing tissues, and how they drive cell behavior to shape organs. This has not been addressed fully in the context of growing tissues. As cells grow and divide, they exert a pressure on their neighbors. How these local stresses add up or dissipate as the tissue grows is an unanswered question. We address this issue in the growing wing imaginal disc of Drosophila larvae, the precursor of the adult wing. We used a quantitative approach to analyze the strains and stresses of cells of the wing pouch, and found a global pattern of stress whereby cells in the periphery of the tissue are mechanically stretched and cells in the center are compressed. This pattern has important consequences on cell shape in the wing pouch: cells respond to it by polarizing their acto-myosin cortex, and aligning their divisions with the main axis of cell stretch, thereby polarizing tissue growth. Ectopic perturbations of tissue growth by the Hippo signaling pathway reorganize this pattern in a non-autonomous manner, suggesting a synergy between tissue mechanics and growth control during wing disc morphogenesis.
Semi-Analytical Valuation of Basket Credit Derivatives in Intensity-Based Models

Credit risk models today mostly come from two different families: structural models and reduced-form, or intensity-based, models. In the former, default probabilities are derived from estimates of how far a given firm's net asset value is above a critical level at which it would default. Default correlations come from correlation in the underlying firm values. In intensity-based models, default is modeled as the first jump in a pure jump process, with a jump intensity that may be a function of exogenous factors. Default correlation arises from correlation in those factors. The expanding market for “correlation products,” such as basket credit derivatives, raises the need to deal explicitly with default correlation; so far, there has been relatively greater emphasis on the structural approach exemplified by the Gaussian copula model. In this article, Mortensen argues that an intensity-based approach can work just as well, or better. He presents a general model in which default intensities are driven by affine jump-diffusion processes, with a common factor that produces correlation among issuers, and one independent idiosyncratic factor per issuer. Calibrating against tranche prices from CDX and iTraxx CDOs, the intensity-based model is shown to be capable of fitting the market better than standard copula methods.
Apparent Periods of a Building. I: Fourier Analysis

This and the companion paper present an analysis of the amplitude and time-dependent changes of the apparent frequency of a seven-story reinforced-concrete hotel building in Van Nuys, Calif. Data of recorded response to 12 earthquakes are used, representing very small, intermediate, and large excitations (peak ground velocity, vmax = 0.6 2 11, 23, and 57 cm/s, causing no minor and major damage). This paper presents a description of the building structure, foundation, and surrounding soil, the strong motion data used in the analysis, the soil-structure interaction model assumed, and results of Fourier analysis of the recorded response. The results show that the apparent frequency changes form one earthquake to another. The general trend is a reduction with increasing amplitudes of motion. The smallest values (measured during the damaging motions) are 0.4 and 0.5 Hz for the longitudinal and transverse directions. The largest values are 1.1 and 1.4 Hz, respec- tively, determined from response to ambient noise after the damage occurred. This implies 64% reduction of the system frequency, or a factor '3 change, from small to large response amplitudes, and is interpreted to be caused by nonlinearities in the soil.
Concurrent Radiotherapy and Intra-arterial Infusion Chemotherapy for Locally Advanced Cervical Cancer

Purpose: We investigated the toxicity and effi cacy of concurrent chemoradiotherapy (CCRT) with intraarterial infusion chemotherapy (IAIC) and defi nitive radiotherapy for locally advanced cervical cancer to evaluate the feasibility and effectiveness of our treatment. Materials and Methods: We analyzed 15 patients of pathologically confi rmed locally advanced cervical cancer treated with CCRT with IAIC and radiotherapy between 2003 and 2006 in our hospital. The patients with primary tumor ≥4 cm in diameter accessed by MRI were enrolled in this study. The numbers of patients with Stage II, III, and IVA were 3, 10, and 2, respectively. Patients received defi nitive radiotherapy consisting of pelvic external beam therapy and high-dose-rate intracavitary brachytherapy. IAIC using combination of Cisplatin, 5FU, and MMC (or BLM) was given concurrently. Two courses with 3-week interval were performed in 10 patients. Weekly 3 or more courses were performed in 5 patients. We evaluated local control (LC), overall survival (OAS), cause-specifi c survival (CSS), patterns of failure, and toxicity. Results: The 5-year LC was 80%. The 5-year OAS and CSS were 56%. The rate of distant metastasis at initial recurrence was 47%. Acute Grade 3 hematologic toxicity was observed in 27%, but severe acute non hematologic toxicity (Grade ≥3) was not observed. No patient developed severe late toxicity (Grade ≥3). Conclusion: The results suggested that CCRT with IAIC and radiotherapy is feasible and effective for locally advanced cervical cancer except for high rate of distant metastasis. To further improve treatment outcomes, a combination of IAIC for local tumor control and intravenous administration of chemotherapy for distant metastasis control should be considered.
Serum Free Fatty Acid Concentration in Patients with Acute Pancreatitis

Background: The involvement of lipolytic enzymes and liberated fatty acids in ethiology of acute pancreatitis (AP) has been implicated. Aim: To analyze the level of FFA in the patients with AP in relation to severity of the disease. Material and Methods: The study included 36 patients with acute edematous AP (group I), 29 patients with necrotizing AP: 16 without (group IIA) and 13 with complications (group IIB), and 12 control subjects. Serum levels of total FFA (by enzymatic method) and the individual fatty acids of the FFA pool (by gas-liquid chromatography) were measured during the first 4 days after admission. Results: A significant increase in the mean total serum FFA was noted for all the groups with the highest values on admission (p < 0.02–0.01). The per cent contribution was significantly higher as compared to control group for oleic acid (group I, p < 0.02, group IIA, p < 0.05, group IIB, p < 0.005), linoleic acid (group IIB, p < 0.02) and arachidonic acid (group IIA, p < 0.05, group IIB, p < 0.02). Significantly lower percentage was noted for stearic acid (all three groups: p < 0.01, p < 0.005, p < 0.01, respectively) and for palmitic acid (only group IIB: p < 0.005). The ratio of saturated to polyunsaturated fatty acids was significantly lower than in control group on each day of study for group IIB only (p < 0.005–p < 0.001). Conclusion: Polyunsaturated fatty acids, mainly linoleic and arachidonic, may be involved in the development of complications in acute pancreatitis.
Growth hormone (GH) receptor isoform in acromegaly: lower concentrations of GH but not insulin-like growth factor-1 in patients with a genomic deletion of exon 3 in the GH receptor gene.

BACKGROUND A genomic deletion of exon 3 (d3-GHR) of the growth hormone (GH) receptor (GHR) has been linked to the effectiveness of GH therapy in children with GH deficiency. Carriers of the d3-GHR genotype had higher GH-induced growth rates than children homozygous for the full-length (fl)-GHR. The aim of this study was to test whether the relationship between GH and insulin-like growth factor-1 (IGF-1) concentrations is influenced by the GHR genotype in patients with acromegaly. METHODS Study participants were 44 adult patients with established diagnosis of acromegaly. The genotype of the GHR was determined in leukocyte DNA from peripheral blood. Clinical and biochemical findings at the time of diagnosis of acromegaly were obtained from the medical records of the patients. RESULTS fl-GHR homozygosity was found in 22 (50%) of patients, and 22 (50%) of patients had at least 1 d3 allele (d3-GHR). Demographic and clinical characteristics (age, height, weight, estimated duration of disease, and mean tumor size) of the 2 groups were comparable. Median (range) serum IGF-1 concentrations at the time of diagnosis were 670 (447-1443) microg/L in the fl-GHR group and 840 (342-1494) microg/L in the d3-GHR group (P = not significant). Basal GH concentrations were higher in the fl-GHR group [29.7 (3.8-159) microg/L] than in the d3-GHR group [8.4 (2.6-74 microg/L), P = 0.002], and so were mean (30.4 vs 6.1 microg/L, P = 0.005) and nadir (20.5 vs 5.1 microg/L, P = 0.003) GH concentrations during an oral glucose tolerance test. CONCLUSIONS The GHR fl/d3 genotype modulates the relationship between GH and IGF-1 concentrations in patients presenting with acromegaly.