Miracle-dz/UniFAR-FTUs huggingface dataset:
Pediatric Streptococcal Pharyngitis Testing and Treatment Pediatric Streptococcal Pharyngitis Testing and Treatment Practices Practices

Objective: The purpose of this pilot quality improvement study was to implement SmartPhrases and assess its impact on adherence to the Infectious Disease Society of America (IDSA) guideline for Group A Streptococcus (GAS) pharyngitis testing and treatment in pediatric patients ages 1-16 years old. The aim was to use SmartPhrases to improve adherence with the IDSA guideline by 30% for GAS pharyngitis swabbing and 10% for appropriate antibiotic prescribing in three months. Methods: A retrospective data analysis approach was used, in reviewing SmartPhrases data from the electronic health records (EHR) in a metropolitan Urgent Care. This data were collected from October 2022 and April 2023. The IOWA Model of Evidence-Based Practice was applied to evaluate the use of SmartPhrases. Sampling was done by convenience method. Results: There were ( N =116) met criteria for the pre and post-timeframe.Timeframe data was compared using the Chi-Square Goodness of Fit test, revealing a significant difference ( p <0.001) in GAS Pharyngitis testing practices with Smartphrases. The test being performed were in the post timeframe were indicated compared to the pre timeframe. Antibiotic stewardship decreased by 7% from pre and post-timeframe. Limited use of SmartPhrases for RNs and NPs. Conclusion: The impact of SmartPhrases on IDSA guideline usage was inconclusive. Recommendations for future studies is to investigate interventions to help improve guideline adherence, such as SmartPhrases, education, and protocols. Implications for practice are education and SmartPhrases may be able to improve guideline utilization.
Nurses’ Experiences Of Horizontal Hostility: A Study Of Public Sector Hospitals Of Pakistan

This study explored the phenomenon of horizontal hostility among female nurses working in public sector hospitals in Pakistan. Forms or behavioral tendencies and outcomes of horizontal hostility have been identified in the context of a developing country where females are oppressed and discriminated against at both social and organizational levels. A qualitative descriptive approach was used to explore the incidence and prevalence of horizontal hostility in the healthcare sector. Nurses shared their real-life experiences related to the forms and outcomes of horizontal hostility. In-depth information was collected through semi-structured interviews with twenty participants. We explored gossip, backbiting, negative comments, telling false stories, teasing and avoiding, verbal abuse, and non-verbal negative gestures as forms or behavioral tendencies of horizontal hostility. Intention to leave and poor quality of patient care were identified as outcomes of this distressing issue. This study provides insights into the forms or behavioral tendencies of horizontal hostility confirmed the incidence and prevalence of this phenomenon in healthcare settings in Pakistan.
An analytical investigation into noise levels in public health sector neonatal intensive care units in the eThekwini District

Sunday and Monday) in the four NICUs. A sample of noise sources, as well as their frequency of occurrence, was identified through direct observation and a frequency spectrum analysis using one-third octave bands. Data were analysed using descriptive and inferential statistics. Results. This study included one tertiary hospital and three regional hospitals in the eThekwini District. Mean noise levels exceeded international recommendations of an A-weighted equivalent continuous sound level (LAeq) of 45 A-weighted decibel (dBA) and an A-weighted maximum sound level (LAmax) of 65 dBA in all four hospitals. The most frequently occurring sources of noise were staff conversations (30.9%, Hospital A), device alarms (21.0%, Hospital B) and closing metal pedal bins (20.0%, Hospital B). Mean LAeqs >45 BA were found in the mid and high frequencies (250 Hz - 6 300 Hz) in all hospitals, particularly during the afternoon. Conclusion. The findings emphasise the need for continuous noise monitoring, awareness and education among healthcare professionals in the NICU. Future research should expand on existing findings and focus on interventions for noise control in NICUs. S
Revealing Luz: Illuminating Our Identities Through Duoethnography

Hispanic Americans make up 15% of the current US workforce, but they only account for 7% of the STEM Education workforce [8]. One eﬀective way to reach this population, particularly Latinas, is by providing stories and ethnographic biographies of successful Latinas they can relate to. It is important to note that Latinas have been earning Ph.D.s in STEM disciplines outside of the US much longer than US-born Latinas have been earning them inside. Thus we oﬀer the story of a mathematics educator from Peru, Dr. Luz Antonia Mendiz´abal G´alvez de Rodriguez, a girl who was given a chance to be educated, and whose education opened doors for her and for those she inﬂuenced. She earned her Ph.D. in Mathematics Education while raising eight children and working full-time, and later in life became the school superintendent in Lima, awarded a prestigious national award for her teaching and service. Through a narrative that is part biography and part duoethnography, we chronicle milestones in her journey and explore the intersections of her life with the lives of two other US-born mathematics educators, ourselves. We conclude with some thoughts on revising the storyline by presenting new narratives to empower our communities.
Shareholders And Independent Commissioners In Influencing The Tax Planning Strategy

Purpose: This study examines the role of shareholders and independent commissioners in influencing firm tax planning strategies. Shareholders and management are concerned with tax planning. Shareholders are more focused on cash availability as it relates to cash dividends and investments. Management hopes incentives calculated from the net profit-related expenses. This paper analyzes the relationship between shareholders and tax planning, so this paper measures tax planning with tax payments, namely the Cash Effective Tax Rate (CashETR). Design/methodology/approach: Shareholders are divided into domestic institutional shareholders and foreign shareholders. Independent commissioners are distinguished by the number and percentage of independent commissioners. This article uses regression analysis from panel data of manufacturing companies listed on Bursa Effek Indonesia (IDX) for 2014 to 2017. CashETR is a ratio of tax payments and profits before tax based on generally accepted accounting principle (GAAP). Findings: This paper finds that the foreign shareholders and the percentage of independent commissioners have a positive relationship to CashETR. The domestic institutional shareholders with ownership of more than 32.09% and the independent commissioners of at least 3 people have a positive relationship to CashETR. This positive relationship can reduce aggressive tax planning. By using mean value of the
Wind Tunnel Studies of Ripple Formation

ABSTRACTA wind tunnel of recirculating type was constructed and used for the study of eolian ripples. The height and wave-length of the ripples were found to be a function of wind velocity. There is a ripple formation period, the length of which depends on wind velocity. During this time fully developed ripples form. After that threshold time ripples are almost stable in size and form except at the high wind velocities which produce “secondary” ripples on the surface of the “primary” ripples and thus cause a decrease in mean wave-length. Material sorting on the rippled surface was studied as well as the migration rate of the ripples. At the beginning of ripple formation a process of sorting of the sand material was found.
Early Eocene (Wasatchian) rodent assemblages from the Washakie Basin, Wyoming - eScholarship

Rodent assemblages are described from two early Eocene (Wasatchian North American Land Mammal Age; Graybullian subage) localities from the Main Body of the Wasatch Formation in the Washakie Basin, Wyoming. One locality (UCMP V71237) represents a catastrophic death assemblage and the other (UCMP V71238) is a channel lag which immediately overlies it. Quarrying and screen-washing at these localities has resulted in the recovery of 81 specimens from V71237 and 224 specimens from V71238 and comprising a uniquely rich, stratigraphically controlled sample. The rodent fauna from these localities include Paramys copei, P. taurus, Lophiparamys murinus, Microparamys hunterae, Tuscahomys ctenodactylops, and Knightomys cf. K. minor. These specimens provide substantial new morphological data for the previously poorly-known M. hunterae, T. ctenodactylops, and L. murinus. Comparison of relative abundances demonstrates that T. ctenodactylops is the most common in both localities, but that the smaller bodied species M. hunterae and Knightomys cf. K. minor are much rarer in the lag deposit.
Molar Mass and Solution Conformation of Branched Alpha(1 -4), Alpha(1 -6) Glucans. Part I: Glycogens in Water Original Citation Molar Mass and Solution Conformation of Branched

Users may access full items free of charge; copies of full text items generally can be reproduced, displayed or performed and given to third parties in any format or medium for personal research or study, educational or not-for-profit purposes without prior permission or charge, provided: • The authors, title and full bibliographic details is credited in any copy; • A hyperlink and/or URL is included for the original metadata page; and • The content is not changed in any way. Abstract Solution molar masses and conformations of glycogens from different sources (rabbit, oyster, mussel and bovine) were analysed using sedimentation velocity in the analytical ultracentrifuge, size-exclusion chromatography coupled to multi-angle laser light scattering (SEC-MALLS), size-exclusion chromatography coupled to a differential pressure viscometer and dynamic light scattering. Rabbit, oyster and mussel glycogens consisted of one population of high molar mass (weight averages ranging from 4.6 x 10 6 – 1.1 x 10 7 g/mol) as demonstrated by sedimentation velocity and SEC-MALLS, whereas bovine glycogen had a bimodal distribution of significantly lower molar mass (1.0 x 10 5 and 4.5 x 10 5 g/mol). The spherical structure of all glycogen molecules was demonstrated in the slopes of the Mark-Houwink-Kuhn-Sakurada-type power law relations for sedimentation coefficient (s o 20,w), intrinsic viscosity ([η]), radius of gyration (r g , z) and radius of hydration (r H,z) respectively and was further supported by the ρ (= r g , z /r H,z) function, the fractal dimension and the Perrin function. The degree of branching was estimated to be ~ 10 % from the shrinking factors, g' (= [η] branched / [η] linear) and also h (= (f/f o) branched / (f/f o) linear) respectively where (f/f o) is the translational frictional ratio, consistent with expectation.
PERFORMANCE EVALUATION OF STOCK PRICE PREDICTION MODELS USING EMAGRU

Stock price prediction is an exciting issue and is very much needed by investors and business people to develop their assets. The main difficulties in predicting stock prices are dynamic movements, high volatility, and noises caused by company performance and external influences. The traditional method investors use is the technical analysis based on statistics, valuation of previous stock portfolios, and news from the mass media and social media. Deep learning can predict stock price movements more accurately than traditional methods. As a solution to the issue of stock prediction, the authors offer the Exponential Moving Average Gated Recurrent Unit (EMAGRU) model and demonstrate its utility. The EMAGRU architecture contains two stacked GRUs arranged in parallel. The inputs and outputs are the EMA10 and EMA20, formed from the closing prices over ten years. The authors also combine the AntiReLU and ReLU activation functions into the model so that EMAGRU has 6 model variants. The proposed model produces low losses and high accuracy. RMSE, MEPA, MAE, and 𝑅 2 are 0.0060, 0.0064, 0.0050, and 0.9976 for EMA10, and 0.0050, 0.0058, 0.0045, and 0.9982 for EMA20, respectively.
An Implicit Neural Representation for the Image Stack: Depth, All in Focus, and High Dynamic Range

In everyday photography, physical limitations of camera sensors and lenses frequently lead to a variety of degradations in captured images such as saturation or defocus blur. A common approach to overcome these limitations is to resort to image stack fusion, which involves capturing multiple images with different focal distances or exposures. For instance, to obtain an all-in-focus image, a set of multi-focus images is captured. Similarly, capturing multiple exposures allows for the reconstruction of high dynamic range. In this paper, we present a novel approach that combines neural fields with an expressive camera model to achieve a unified reconstruction of an all-in-focus high-dynamic-range image from an image stack. Our approach is composed of a set of specialized implicit neural representations tailored to address specific sub-problems along our pipeline: We use neural implicits to predict flow to overcome misalignments arising from lens breathing, depth, and all-in-focus images to account for depth of field, as well as tonemapping to deal with sensor responses and saturation - all trained using a physically inspired supervision structure with a differentiable thin lens model at its core. An important benefit of our approach is its ability to handle these tasks simultaneously or independently, providing flexible post-editing capabilities such as refocusing and exposure adjustment. By sampling the three primary factors in photography within our framework (focal distance, aperture, and exposure time), we conduct a thorough exploration to gain valuable insights into their significance and impact on overall reconstruction quality. Through extensive validation, we demonstrate that our method outperforms existing approaches in both depth-from-defocus and all-in-focus image reconstruction tasks. Moreover, our approach exhibits promising results in each of these three dimensions, showcasing its potential to enhance captured image quality and provide greater control in post-processing.
The perilous path toward supply chain integration addressed from social capital perspective: An aggregated theoretical framework exploring the potential mediating role of knowledge sharing

A number of reports indicate that historically, due to its controversial foundations, companies have been struggling in identifying a standard route to pave the way to seamless supply chain integration (SCI) (Bask, A., Juga, J. 2001). The need to unveil the blurriness inherent to this concept has been exacerbated in the post Covid-19 era (Hassan and Abbasi, 2021), which had and still have tremendous negative impact on firms productivity. Through our article we aim at exploring an avenue of analysis to support firms succeed their integrative initiatives with supply chain partners and ultimately make it a successful journey. Our essay is built on the premise that SCI is a form of alliance and social dilemma (McCarter et Northcraft, 2007;Fawcett et al., 2008 ; Agarwal, Croson, et Mahoney, 2009; McCarter & al., 2009 ; Zhao & al., 2011) and thus considered social capital as a grounding theory with social capital dimensions as potential enabling factors of SCI (El Abboubi, M., 2021). Based on an extensive literature review we argue that knowledge sharing, as the fundamental resource to capitalize on by the firms to gain competitive advantage (Grant and Baden-Fuller 1995), plays a mediating role in the potential relationship between social capital dimensions and SCI. This statement is supported by scholars who studied empirically the impact of each facet of the three dimensions of social capital naming, as defined in the framework of Nahapiet & Ghoshal (1998), structural, relational and cognitive dimensions, on fostering the knowledge transfer between stakeholder in the frame of inter or intra-organizational collaboration such as SCI project. Also, it emerges from the literature that knowledge has been identified as a critical pre-condition for effective supply chains (Harland, C.M., 1996; Lee, H.L. et al., 2000) as it provides motivation for collaboration between SC partner and has the potential to enable more effective SCI projects (Lee, Padmanabhan, and Whang 1997a; Lee, So, and Tang 2000). These findings have been crystallized in a proposal of theoretical research model that requires to be investigated empirically to confirm the validity of the formulated hypothesizes. We closed up the article with highlighting the limits of our work and a proposal of leads for future research.
International Spillovers and Local Credit Cycles

Most capital inflows are intermediated by domestic banks. We use transaction-level data on bank credit to estimate the causal impact of capital inflows on lending. The key mechanism is a failure of UIP, where capital inflows due to increases in global risk-appetite lead domestic banks to lower borrowing rates. Our estimates explain 43% of observed credit growth, where bank heterogeneity is critical for the aggregate impact. Foreign banks, exchange-rate driven balance-sheet shocks, and the relaxation of firm-level collateral constraints cannot account for our large estimates. Textbook- models, where UIP holds and capital flows are endogenous to demand cannot explain our findings.
MIT Open Access Articles Hierarchical Clustering: Objective Functions and Algorithms

Hierarchical clustering is a recursive partitioning of a dataset into clusters at an increasingly ﬁner granularity. Motivated by the fact that most work on hierarchical clustering was based on providing algorithms, rather than optimizing a speciﬁc objective, Dasgupta framed similarity-based hierarchical clustering as a combinatorial optimization problem, where a ‘good’ hierarchical clustering is one that minimizes a particular cost function [21]. He showed that this cost function has certain desirable properties: in order to achieve optimal cost, disconnected components (namely, dissimilar elements) must be separated at higher levels of the hierarchy and when the similarity between data elements is identical, all clusterings achieve the same cost. We take an axiomatic approach to deﬁning ‘good’ objective functions for both similarity and dissimilarity-based hierarchical clustering. We characterize a set of admissible objective functions having the property that when the input admits a ‘natural’ ground-truth hierarchical clustering, the ground-truth clustering has an optimal value. We show that this set includes the objective function introduced by Dasgupta. Equipped with a suitable objective function, we analyze the performance of practical algorithms, as well as develop better and faster algorithms for hierarchical clustering. We also initiate a beyond worst-case analysis of the complexity of the problem, and design algorithms for this scenario.
Winners and losers from computerization: A study of the psychosocial work conditions and health of Swedish state employees

This study was comprised of 1,738 state‐employed visual‐display terminal (VDT) users whose work environment and health were examined through questionnaires. The aim of the study was to analyze the relationship between work organization and mental/somatic symptoms. The results showed that work conditions vary considerably, both between groups of users and between men and women. Data‐entry tasks and a combination of data‐entry and data‐acquisition tasks were more common among women. The data‐entry group reported a greater number of somatic and psychological problems and contained the greatest percentage of people spending more than 6 hours per day at a terminal. There appeared to be a critical limit of 5 to 6 hours per day beyond which the incidence of symptoms rose sharply. Recommendations for preventive measures are presented.
Epidemic of malaria in Hainan province and modeling malaria incidence with meteorological parameters

Objective To explore the relationships between meteorological parameters (including temperature, rainfall and relative humidity) and the epidemic of malaria, to model the changes of epidemic of malaria for predicting the incidences of malaria in future in Hainan Province, China. Methods Spearman's rank correlation was used to analyse the correlation between meteorological parameters and malaria incidence per month from 1995～2000, stepwise regression analysis was used to model the changes of malaria incidence with those meteorological parameters which were correlated with malaria incidence. Results Temperature and rainfall were correlated with malaria incidence. By stepwise regression analysis, the equation was established: for whole province, I=-1.041+ 0.061t 02, r 2=0.590 (I is the malaria incidence per month, t 02 is the average temperature of the present month and its previous two months). And for high epidemic areas of the province, I=-5.701+0.382t 02-0.147t 02 min, r 2= 0.626, (t 02 min is the average lowest temperature of the present month and its previous two months). With I 2 (the incidence two months before), two better fitting models were established: for whole province, I=-1.701+ 0.064t 02+0.47I 2+0.025d 2, r 2=0.72 (d 2 is the difference of the highest temperature and the lowest temperature of the second month before present month), and for high epidemic areas of the province, I=-4.754+0.179t 02+0.447I 2+ 0.063d 2, r 2=0.73. Conclusions The meteorological parameters could affect the epidemic of malaria, and we could predict the epidemic of malaris in future with fitting model with meteorological parameters.
Factors Influencing Online Shopping Acceptance in a Developing Economy: An Expanse Review, Taxonomy and Framework

: There is insufficient research in e-commerce on developing countries like Nigeria and limited understanding of the underlying factors that affect its acceptance. Thus this study identified salient factors influencing consumers to shop online with particular reference to Nigeria. To accomplish this, a review of the empirical studies on the antecedents of online shopping was performed. From an extensive literature investigated, a total of seventy (70) relevant literatures were identified. The factors that have been investigated in these studies were classified according to their similarity and pattern of findings. Consequently, a conceptual framework of online shopping is presented.
Evaluation from the quality of life in the oral breathers patients

in the scale of answers meant a worst quality of life. Conclusion: The syndrome of the oral breather seems to be related to a negative impact in the quality of life, mainly for the nasal problems, with the sleep and eating. Future studies with the application of the same questionnaire have become needed for this to become as capable instrument of evaluation of the life quality from the patients in the matter.
? Theory and

: Private school students do not always perform better in standardized tests. We suggest that this may be explained by choice of private schooling by less capable students in countries where government schools are better suited to talented students. To assess the empirical relevance of this mechanism, we exploit cross-country variation in the PISA 2009 survey of differences between private and state school regarding organizational features that are differently suitable for students with different learning ability. We seek and find evidence of this mechanism’s empirical relevance in controlled regressions that treat within-country variation of PISA scores as an indicator of unobserved ability to learn.