Miracle-dz/UniFAR-FTUs huggingface dataset:
Good Mother/Bad Mother: The Representation of Mothers in Printz-Award-Winning Literature

of what adolescents are learning through YA literature about what it means to be a mother and who gets to be portrayed as a “good” mother can lead to a discussion about productive disruptions of these narratives, both in literature and in life. The purpose of this article is to explore the representation of motherhood constructs in YA literature that has been awarded the Printz Award or the Printz Honor Award for the years 2016 and 2017. The following research questions guided this analysis:
TEACHING THE DIMENSIONS OF LITERACY

TEACHING THE DIMENSIONS OF LITERACY. Stephen B. Kucer and Cecilia Silva. Mahwah, NJ: Erlbaum, 2006. Pp. xv + 406. $49.95 paper. Kucer and Silva's work is a companion volume to Kucer's (2005) earlier volume, Dimensions of Literacy: A Conceptual Base for Teaching Reading and Writing In School Settings, now in its second edition. In this earlier volume, Kucer argued that literacy should be understood in all its dimensions—cognitive, linguistic, sociocultural, and developmental—and that to reduce our understanding of literacy to any one dimension alone is to lack wisdom about its total nature. Whereas the previous volume offers a theoretical exposition of these four dimensions of literacy (i.e., content knowledge for teachers), this new work provides answers to the question “Well, now that I am equipped with a multidimensional understanding of literacy, what shall I do on Monday morning? ” (i.e., pedagogical content knowledge; Shulman, 1986).
Development and Validation of a Brief 4-Item Version of the Dyadic Adjustment Scale Using a Nonparametric Item Analysis Model

Despite considerable advances in the scientific study of couple processes and trajectories, progress in the measurement of marital quality has lagged behind. Our general goal in the present study was to develop a short version of the Dyadic Adjustment Scale (Spanier, 1976) using item response theory (IRT). The sample consisted of 4,306 French-Canadian participants (2,153 couples). Results suggested a short 4-item version of the DAS by selecting items from the satisfaction factor. The resulting DAS-4 was formed of items 16 (“How often do you discuss or have you considered divorce, separation, or terminating your relationship? ”), 18 (“In general, how often do you think that things between you and your partner are going well? ”), 19 (“Do you confide in your mate? ”), and 31 (“Please circle the dot which best describes the degree of happiness, all things considered of your relationship”).
Inhibition of hypoxia inducible factor 1 and topoisomerase with acriflavine sensitizes perihilar cholangiocarcinomas to photodynamic therapy

Background: Photodynamic therapy (PDT) induces tumor cell death by oxidative stress and hypoxia but also survival signaling through activation of hypoxia-inducible factor 1 (HIF-1). Since perihilar cholangiocarcinomas are relatively recalcitrant to PDT, the aims were to (1) determine the expression levels of HIF-1-associated proteins in human perihilar cholangiocarcinomas, (2) investigate the role of HIF-1 in PDT-treated human perihilar cholangiocarcinoma cells, and (3) determine whether HIF-1 inhibition reduces survival signaling and enhances PDT efficacy. Results: Increased expression of VEGF, CD105, CD31/Ki-67, and GLUT-1 was confirmed in human perihilar cholangiocarcinomas. PDT with liposome-delivered zinc phthalocyanine caused HIF-1α stabilization in SK-ChA-1 cells and increased transcription of HIF-1α downstream genes. Acriflavine was taken up by SK-ChA-1 cells and translocated to the nucleus under hypoxic conditions. Importantly, pretreatment of SK-ChA-1 cells with acriflavine enhanced PDT efficacy via inhibition of HIF-1 and topoisomerases I and II. Methods: The expression of VEGF, CD105, CD31/Ki-67, and GLUT-1 was determined by immunohistochemistry in human perihilar cholangiocarcinomas. In addition, the response of human perihilar cholangiocarcinoma (SK-ChA-1) cells to PDT with liposome-delivered zinc phthalocyanine was investigated under both normoxic and hypoxic conditions. Acriflavine, a HIF-1α/HIF-1β dimerization inhibitor and a potential dual topoisomerase I/II inhibitor, was evaluated for its adjuvant effect on PDT efficacy. Conclusions: HIF-1, which is activated in human hilar cholangiocarcinomas, contributes to tumor cell survival following PDT in vitro. Combining PDT with acriflavine pretreatment improves PDT efficacy in cultured cells and therefore warrants further preclinical validation for therapy-recalcitrant perihilar cholangiocarcinomas.
Optimization of Trading Strategies Using a Genetic Algorithm Under the Directional Changes Paradigm with Multiple Thresholds

This paper explores the use of the Directional Changes (DC) paradigm for financial forecasting. DC is an event-based alternative to the traditional approach of time-series with fixed intervals. In the DC approach, price movements are recorded when specific events occur, rather than in fixed time intervals, while significant price changes are identified using a threshold. Here, we consider a more general model that allows multiple weighted thresholds, and propose three novel trading strategies built within the DC paradigm. To optimize the weights of the thresholds, we use a genetic algorithm and manage to find strategies that outperform previously known single-threshold strategies under the common efficiency metrics. Furthermore, our method manages to create profitable trading strategies that outperform some traditional ones, such as buy-and-hold, MACD, and RSI.
The Effectiveness of Dietetics Intervention in Young Children with Failure to Thrive

Purpose: The objectives of this study are to determine the change in growth centile z-scores and to determine the growth velocity differences between intensive dietetic intervention and standard care over a 6-month period in children less than two years of age, medically diagnosed with Failure to Thrive (FTT) and seen by a dietitian. Methods: This is a retrospective service evaluation of paediatric dietetic inpatient and outpatient services between January 2012 and January 2014 at the National University Hospital (NUH)
Genetic and Genomic Characterization of 462 Melanoma Patient-Derived Xenografts, Tumor Biopsies, and Cell Lines

Recommended Citation Garman, Bradley; Anastopoulos, Ioannis N. ; Krepler, Clemens; Brafford, Patricia; Sproesser, Katrin; Jiang, Yuchao; Wubbenhorst, Bradley; Amaravadi, Ravi; Bennett, Joseph; Beqiri, Marilda; Elder, David; Flaherty, Keith T. ; Frederick, Dennie T. ; Gangadhar, Tara C. ; Guarino, Michael; Hoon, David; Karakousis, Giorgos; Liu, Qin; Mitra, Nandita; Petrelli, Nicholas J.; Schuchter, Lynn; Shannan, Batool; Shields, Carol L. ; Wargo, Jennifer; Wenz, Brandon; Wilson, Melissa A. ; Xiao, Min; Xu, Wei; Xu, Xaiowei; Yin, Xiangfan; Zhang, Nancy R. ; Davies, Michael A. ; Herlyn, Meenhard; and Nathanson, Katherine L. , "Genetic and Genomic Characterization of 462 Melanoma PatientDerived Xenografts, Tumor Biopsies, and Cell Lines. " (2017). Wills Eye Hospital Papers. Paper 78. https://jdc.jefferson. edu/willsfp/78
Scattering of High-Frequency Acoustic Energy from Discrete Scatterers on the Seafloor: Glass Spheres and Shells

Abstract : Shells and shell debris are common at the water/seafloor interface. Quantifying the scattering from shells is thus important for predicting high frequency backscattering from the seafloor. A backscattering experiment is described in which glass beads (radius equal to 1.75 cm) and shells (largest dimension tip to about 10 cm) were placed near a bottom-mounted sonar and backscattering examined as a function of the number of discrete scatterers Supported by Office of Naval Research - USA
A Repository for a CARE Environment

Repositories in CASE hold information about the development process and the structure of developing software. The migration or reuse of CASE repositories for CARE (Computer Aided Re-Engineering) is not adequate for the reengineering process. The main reasons for its inadequacy are the emptyness of such repositories, and the nature of the process itself. In the following report we will de(cid:12)ne a CARE architecture, from the reengineering point of view, and derive a structure of a repository appropriate to the reengineering process.
APPLICATION OF CLUSTERING METHODS IN BANK’S PROPENSITY MODEL

Bank’s propensity models are being developed for business support. They should help to choose clients with a higher potential (probability) to buy a product. Propensity models are mostly created by using logistic regression. It is a classification task for client’s segmentation based on socio-demographics, products and transaction characteristics. A similar classification task can be solved by cluster analysis. Therefore, the aim of this contribution is to improve a propensity model for consumer loan by adding a new variable, which indicates the client’s belonging to a certain cluster based on the application of some methods of cluster analysis. We apply two clustering methods. The first one is the k -means algorithm, which belongs to centroid-based clustering. The second one is TwoStep cluster analysis proposed for large data sets and hierarchical clustering use. The effect of adding a new variable is evaluated by comparing the total response rate in the current propensity model against the response rate in new propensity models with the “ cluster ” variable.
Limits of Solutions to the Isentropic Euler Equations for van der Waals Gas

Abstract In this paper, we consider limit behaviors of Riemann solutions to the isentropic Euler equations for a non-ideal gas (i.e. van der Waals gas) as the pressure vanishes. Firstly, the Riemann problem of the isentropic Euler equations for van der Waals gas is solved. Then it is proved that, as the pressure vanishes, any Riemann solution containing two shock waves to the isentropic Euler equation for van der Waals gas converges to the delta shock solution to the transport equations and any Riemann solution containing two rarefaction waves tends to the vacuum state solution to the transport equations. Finally, some numerical simulations completely coinciding with the theoretical analysis are demonstrated.
Combining Technical and Sentiment Analysis under a Genetic Programming algorithm

Throughout the years, a lot of interest has been given to algorithmic trading, due to development of the stock market and provided securities. In the field of algorithmic trading, genetic programming (GP) is a very popular algorithm, due to its ability to produce white-box models, effective global search, and good exploration and exploitation. In this paper, we propose a novel GP algorithm to combine the features of two financial techniques. Firstly, technical analysis that studies the financial market action by looking into past market data. Secondly, sentiment analysis, which is used to determine the sentiment strength from a text in order to decide its implication in the stock market. Both techniques create indicators that are used as inputs in machine learning algorithms, with both showing in past studies the ability to return profitable trading strategies. However, these techniques are rarely used together. Thus, we examine the advantages when combining technical and sentiment analysis indicators under a GP, allowing trees to contain technical and/or sentiment analysis features in the same branch. We run experiments on 60 different stocks and compare the proposed algorithm’s performance to two other GP algorithms, namely a GP that uses only technical analysis features (GP-TA), and a GP that uses only sentiment analysis features (GP-SA). Results show that the GP using the combined features statistically outperforms GP-TA and GP-SA under several different financial metrics, as well as the financial benchmark of buy and hold.
Technological Forecasting & Social Change Agent-based assessment framework for behavior-changing feedback devices : Spreading of devices and heating behavior

Article history: Received 14 November 2014 Received in revised form 17 April 2015 Accepted 15 June 2015 Available online xxxx Heating behavior of households is key for reducing domestic energy demand and mitigating climate change. Recently, various technical devices have been developed, providing households with feedback on their heating behavior and supporting energy conservation behavior. The impact of such devices on overall energy consumption depends on (1) the impact of a device within a household, (2) the diffusion of devices to other households and the number of adopters, and (3) the diffusion of the induced behavioral change beyond these households. While the first two processes are currently established in assessments of sustainable household devices, we suggest that adding behavior diffusion is essential when assessing devices that explicitly target behavioral change. We therefore propose an assessment framework that includes all three processes. We implement this framework in an agent-based model by combining two existing simulation models to explore the effect of adding behavior diffusion. In three simulation experiments, we identify two mechanisms by which behavior diffusion (1) spreads the effect of such devices from adopters to non-adopters and (2) increases the average speed of behavioral change of households. From these results we conclude that behavior diffusion should be included in assessments of behavior-changing feedback devices. © 2015 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Learning through teaching: Teaching the nature of scientific inquiry in online outdoor learning environments

This study aims to examine the developments of 50 pre-service teachers' NOSI views during a 14-week implementation in the online outdoor learning environment. This is an experimental study that examines each participant's views and changes about NOSI using an open-ended questionnaire (VASI), and follow-up interviews. The data were analyzed by using content analysis. Almost all participants positively improved their views through the explicit/reflective approach and teachers' own experiences by practicing. In this study, the views of pre-service teachers developed more clearly after preparing lesson plans and their teaching practices. This is an indication that NOSI teaching, which does not provide the experience of conveying their learning outcomes to their practices to the participants is limited on its own and that the importance of “learning through teaching” in teachers' in-service and pre-service training on this subject should not be overlooked. Online teacher education in outdoor learning environments might be used in the development of NOSI views of pre-service teachers. We think that it is important to investigate the effect of this training on teacher education. These types of training might create a more economical and sustainable alternative for the development of NOSI views of wider groups of pre-service and in-service teachers.
Denial of Service Attacks: Threats and Methodologies

SCOPE AND DEFINITIONS The provision of any service requires the utilisation of resources. In a digital context these resources might be processor cycles, memory capacity, disk space or communications bandwidth. A Denial of Service (DoS) attack implies either the removal of those resources by some external event or their pre‐emption by a competing process; this should be understood to include rerouting or replacing a service. The sole objective of a DoS attack is thus to prevent the normal operation of a digital system in the manner required by its customers and intended by its designers. As such, DoS attacks on the mission‐critical or business‐critical infrastructure systems of financial, commercial or other enterprises offer the potential for sabotage, blackmail or extortion operations.
Software Architecture Evaluation with ATAM in the DoD System Acquisition Context

Abstract : Many modern defense systems rely heavily on software to achieve system functionality. Because software architecture is a major determinant of software quality, it follows that software architecture is critical to the quality of a software-intensive system. For a Department of Defense (DoD) acquisition organization, the ability to evaluate software architectures can have a favorable impact on the delivered system. This technical note explains the basics of software architecture and software architecture evaluation in a system-acquisition context. It also sets the context for applying software architecture evaluation based on the Architecture Tradeoff Analysis Method(sm) (ATAM(sm)) in the DoD acquisition environment. Future versions of this technical note will expand upon this conceptual approach and provide additional details drawn from real experiences.
Genre Cataloging and Instrument Classification in Large Databases using Music Mining Approach

-Mining of music information has dependably been always a developing area of interest where information’s are stored in large stash. A challenge in music information management is how to utilize information indexing systems in view of various aspects of the information itself. For music data, content and different acoustic components can be connected to encourage efficient music management. In Mining of music information, characterization tasks are sub-divided into genre cataloging, instrument distinguishing and artist classification. Apart from classification, other information mining tasks are comparable for music applications. In this Paper a collaborative music-mining classifier (CMM-C) system which is based on self-adaptive harmony search algorithm. In the pre-processing stage, fundamental acoustic qualities are separated and stored as original feature set. CMC is created with altered wavelet transformation (for processing acoustic signals). Conventional frameworks utilize Fourier transform for the classifications, but from the survey it is observed that remaking high frequency coefficients are not possible from the modulus complex convolution. The classification through wavelet infuses mining instantaneous frequency of music information, mounting highlights with sub-band coefficients and spatial-temporal energy location curve. To progress the accuracy in classification to take high incidence coefficients into the processing and by solving the modernization issue with altered wavelet transform to organize the genre with higher achievement rate. As the result of evaluation it is able to complete the genre cataloging and instrument characterization with CMM classifier. The approval of this mining procedure is reasonably compared with other harmony search algorithms, multi-layer perceptrons and SVM techniques.
Synthesis and characterization of thin films of P3HT − G/MoS2 nanocomposites in photodetectors applications

Abstract. The nanocomposite, poly(3-hexylthiophene-2,5-diyl) (P3HT)–graphene/molybdenum disulfide (MoS2), was for the first time fabricated by the pulse laser ablation (PLA) method with different numbers of laser pulses deposited onto a porous silicon (PSi) substrate using the drop-casting technique. Nanocrystalline PSi films are prepared by electrochemical etching of a P-type silicon wafer. The optical properties, transmission electron microscope (TEM), and photodetector properties were studied. Optical measurements confirmed that the energy gap decreases from 2.03 to 1.87 eV with the increasing number of laser pulses for graphene and MoS2. This decrease in the energy gap was attributed to the increase in graphene and its combination with molybdenum. Due to the higher electrical conductivity of the hybrid material, the MoS2 leads to reduce the band gap. From the TEM images, it was found that the average size of the particles was between 3.1 and 20.8 nm depending on increasing the number of laser pulses for both graphene and MoS2 with hemispherical particle shapes. The Ag / PSi / P3HT − G / MoS2 / Ag photodetector was fabricated for all samples prepared to characterize the effect of laser pulses number for graphene and MoS2 on the photodetector performance. The maximum value of the specific response, specific detection, and quantum efficiency was 0.35 A / W, 5.1 × 1012 cm Hz1/2 W − 1, and 49.2% at 900 nm due to the absorption edge of silicon around 0.23 A / W, 3.3 × 1012 cm Hz1/2 W − 1, and 38.9% at 760 nm due to the absorption edge of P3HT − G / MoS2 NPS. The results indicate that the PLA method successfully fabricated the P3HT − G / MoS2 nanocomposites and that the resulting product exhibited high values in responsivity, detectivity, and quantum efficiency. Additionally, it appears that the nanocomposites may have enhanced the same parameters of the PSi photodetector.
Imipenem Resistant Pseudomonas aeruginosa: The fall of the final quarterback

Objective: To isolate, determine the frequency, and study the demographic trends of MBL positive Pseudomonas aeruginosa from imipenem resistant isolates collected from clinical samples in a tertiary care hospital of Pakistan. Methods: In this cross sectional study a total of 230 strains of Pseudomonas were isolated from various clinical specimens on the basis of culture and biochemical tests. Imipenem resistant isolates were selected by Kirby Bauer Diffusion technique, followed by screening for MBL production by Imipenem EDTA Combined Disk Test. Demographic details of each patient were recorded on a separate questionnaire. Chi-Square goodness-of-fit test was computed to review the isolation of MBL positive isolates (P-value ≤ 0.05) in different specimen. Results: Out of 230 strains of P. aeruginosa 49.5% were imipenem resistant; MBL production was confirmed in 64.9% of the resistant isolates. Resistance to polymyxin B (12.5%) was notable. Majority of the MBL positive strains were isolated from patients aged between 20-39 years (45.9%) and the predominant source was pus (43.24%) which was found to be statistically significant (P-value=0.04). Outpatient departments (24.3%) and burn unit (21.6%) were the major places for resistant isolates. Conclusion: MBL production is one of the major causes of IRPA. Increasing resistance to polymyxin B is grave. Due to acquisition of MBL strains MDR P. aeruginosa has become endemic in tertiary setups.
Title: Infectiousness of SARS-CoV-2 breakthrough infections and reinfections during the Omicron wave

: Breakthrough infections in vaccinated individuals and reinfections among previously infected individuals are increasingly prevalent, especially during the Omicron wave. Here, we analyze data from SARS-CoV-2 surveillance across 35 California prisons to understand the impact of vaccination and prior infection on infectiousness of individuals with SARS-CoV-2 Omicron infections in prison settings. We estimate that vaccination, prior infection, and both vaccination and prior infection reduced an index case’s risk of transmitting to close contacts by 24% (9-37%), 21% (4-36%) and 41% (23-54%), respectively. Booster vaccine doses and more recent vaccination further reduced infectiousness. These findings suggest that although vaccinated and/or previously infected individuals remain infectious upon SARS-CoV-2 Omicron infection in this prison setting, their infectiousness is reduced compared to individuals without any history of vaccination or infection.