jimnoneill/paper-to-field-training huggingface dataset:
Reducing Patient Supply Waste Through Nurse Education to Improve Quality of Patient Care in the Clinical Microsystem

Field: Health Professions (Health Sciences)

CNL Final Project Abstract\nWith my CNL project, I sought to reduce patient supply waste in the clinical microsystem by 50% by the end of the second quarter of 2017. The project was conducted in a 19-single-room adult surgical/orthopedic unit in a community hospital. I completed a through microsystem analysis with 5 P’s, SWOT analysis, and hospital HCAHPS scores as well as staff interviews. I then continued doing observational audits for supply use, barcode scanning, supplies in patient rooms, staff efficiency, and challenges facing nurses and their time constraints (Godfrey, Nelson, & Batalden, 2004). \nDuring this process, I also completed a staff survey and examined the unit Par Level Sheet and the Hospital Chargemaster for a rundown on supplies in order to get an overall understanding of our unit and organization. After I analyzed my findings, I shared them with my preceptor and the unit nurse manager regarding the need for an improvement project. Furthermore, I continued the staff education in huddles and in services to bring awareness of supply waste and unscanned supplies in the unit.\nLewin’s three stage change theory was utilized to help implement the CNL project.To evaluate the project’s effectiveness, I completed a final observational audit in the unit and estimated once again the supply waste in patient rooms. This time the average estimate was $35 per patient room, which results in $7,000 in savings already (from $50 per patient supply waste)\nEven though I did not reach my goal of a 50% improvement, this was still a great start to help improve not only the quality of patient care, but also patient and staff satisfaction.\nI learned that gathering the baseline data can be as challenging as implementing an improvement project in a patient unit. Also, it is my hope to sustain this project in the unit with the help of staff volunteers on each shift and embed this project into the unit culture.\nWith the help of the CNL competencies and collaboration with the healthcare team, I helped reduced patient supply waste in the clinical microsystem to increase not only the quality of patient care but also staff efficiency and satisfaction (Competencies and Curricular Expectations for Clinical Nurse Leader Education and Practice, 2013).\nReference\nCompetencies and Curricular Expectations for Clinical Nurse Leader Education and Practice, 2013. Retrieved from http://www.aacn.nche.edu/publications/white-papers/cnl
Isolation and Characterization of a Novel Betacoronavirus Subgroup A Coronavirus, Rabbit Coronavirus HKU14, from Domestic Rabbits

Field: Biochemistry, Genetics and Molecular Biology (Life Sciences)

ABSTRACT We describe the isolation and characterization of a novel Betacoronavirus subgroup A coronavirus, rabbit coronavirus HKU14 (RbCoV HKU14), from domestic rabbits. The virus was detected in 11 (8.1%) of 136 rabbit fecal samples by reverse transcriptase PCR (RT-PCR), with a viral load of up to 10 8 copies/ml. RbCoV HKU14 was able to replicate in HRT-18G and RK13 cells with cytopathic effects. Northern blotting confirmed the production of subgenomic mRNAs coding for the HE, S, NS5a, E, M, and N proteins. Subgenomic mRNA analysis revealed a transcription regulatory sequence, 5′-UCUAAAC-3′. Phylogenetic analysis showed that RbCoV HKU14 formed a distinct branch among Betacoronavirus subgroup A coronaviruses, being most closely related to but separate from the species Betacoronavirus 1 . A comparison of the conserved replicase domains showed that RbCoV HKU14 possessed <90% amino acid identities to most members of Betacoronavirus 1 in ADP-ribose 1″-phosphatase (ADRP) and nidoviral uridylate-specific endoribonuclease (NendoU), indicating that RbCoV HKU14 should represent a separate species. RbCoV HKU14 also possessed genomic features distinct from those of other Betacoronavirus subgroup A coronaviruses, including a unique NS2a region with a variable number of small open reading frames (ORFs). Recombination analysis revealed possible recombination events during the evolution of RbCoV HKU14 and members of Betacoronavirus 1 , which may have occurred during cross-species transmission. Molecular clock analysis using RNA-dependent RNA polymerase (RdRp) genes dated the most recent common ancestor of RbCoV HKU14 to around 2002, suggesting that this virus has emerged relatively recently. Antibody against RbCoV was detected in 20 (67%) of 30 rabbit sera tested by an N-protein-based Western blot assay, whereas neutralizing antibody was detected in 1 of these 20 rabbits.
Office design's influence on employee's stress levels

Field: Social Sciences (Social Sciences)

This is an explorative study on the office design’s relation to employees’ stress levels and the architectural and functional features of the different office types, which are hypothesized to influence the employees’ stress level. The main questions at issue are: 1) Are there differences in stress levels between employees in different office types, 2) If so can these be explained by the features of the office types? and 3) Are there gender-related differences in which office types are perceived as stressful or not?
Hot-Spots Clusters of HIV Infection in Cameroon : Space-Time Analysis from the Demographic and Health Surveys

Field: Medicine (Health Sciences)

Abstract Background: The Human Immunodeficiency Virus(HIV) infection prevalence in Cameroon has consecutively decreased from 5.28% in 2004 to 2.8% in 2018. However, this total decrease in prevalence may hide some disparities especially in terms of spatial or geographical pattern. Efficient control and fighting against HIV infection requires to target hotspot areas. This study was aimed to investigate whether there is a spatial pattern of HIV in Cameroon and to determine the hot-spots clusters. Methods: HIV biomarkers data with Global Positioning System (GPS) location data were leveraged from the Cameroon 2004, 2011, and 2018 Demographic and Health Survey (DHS) after an approved request from the MEASURES Demographic and Health Survey Program. The spatial autocorrelation test was performed with the Moran I test through the R package ”DCluster”. The discrete Poisson model was fitted to scan and detect hot-spots clusters based on the Kulldorff test with the SaTScan software version 9.4, with purely spatial and space-time analysis respectively. Finally, the data and detected clusters were imported to QGIS software version 3.20.2 for maps manipulations. Results: For the three considered periods of 2004, 2011, and 2018 respectively, there was a spatial autocorrelation of HIV infection in Cameroon. A total of 3, 5, and 2 significant hot-spots clusters were detected for the periods of 2004, 2011, and 2018 respectively. In the prospective space-time analysis, 2 significant clusters have been detected from 2004 to 2018. The relative-risk in the significant detected clusters were 2.72(p-value= 0.001) and 3.37(p-value=0.026) respectively. Cluster 1 included the following subdivisions : Mefou et Afamba, Nyong et So’o, Nyong et Mfoumou, Haute Sanaga, Mvila, Dja et lobo, Haut-Nyong, Boumba et Ngoko; Kadey, Lom et Djerem, and Mbere. The other cluster included : Nkam, Sanaga-Maritime, and Nyong-Ekele. Conclusion: Despite the decrease of HIV epidemiology in Cameroon, the study revealed that there is a spatial pattern of HIV in Cameroon and the hot-spots clusters were detected. In its effort to eliminate HIV infection by 2030 in Cameroon, the public health policies should target more of the detected HIV hot-spots clusters in this study while maintaining effective control in other parts of the country which are cold-spots.
Robust Automated Step Extraction From Time-Series Contact Force Data Using the PDShoe

Field: Computer Science (Physical Sciences)

This paper presents a method of stride identification, extraction, and analysis of data sets of time-series contact force data for ambulating subjects both with and without Parkinson's disease (PD). This method has been made robust with the use of seeded K-Means clustering, fast Fourier transformation (FFT) spectral analysis, and minimum window size rejection. These methods combine to produce well selected strides of active walking data. We are able to calculate quality of walking measures of stride duration, stance duration (as percent of gait cycle - %GC), swing duration (%GC), time to maximum heel force (%GC), time to maximum toe force (%GC), time spent in heel contact (%GC), and time spent in toe contact (%GC).
Low-Temperature JFET OpAmp Based On a Folded-Cascode with High Static Regime Symmetry of Transistors That Determine the Systematic Constituent of the Offset-Voltage

Field: Engineering (Physical Sciences)

The original architecture of operational amplifiers (OpAmps) implemented on complementary JFETs or depletion-mode complementary MOS is considered. The feature of the proposed OpAmps is differential input stage and folded-cascode special designs, which have a high symmetry of the FETs static regime from terms of gate-to-drain voltages. Computer-based simulations of the OpAmp in the LTspice-XVII was conducted between -197 and 27 degrees Celsius. The proposed circuit solutions reduce the systematic constituent of the offset-voltage (up to 10 $\mu \mathrm{V}$) and increase voltage gain (up to 87 dB) of the open-loop OpAmp. The explored OpAmps are recommended by the authors of the article for analogue, including low-noise, and analogue-to-digital devices, for example, active filters, comparators, actuators, and others, which are used in systems of communication and management, such as at cryogenic temperatures, and/or under radiation conditions.
Analysis of University Social Media User Engagement by Topic

Field: Computer Science (Physical Sciences)

Social media is currently one of the primary platforms for spreading information about organizations or companies, including universities. To reach more users, we need to analyze user engagement. Topic is one of essential feature to attract user interest on a post. Therefore, by understanding the topic preference, we can increase the user engagement. In this study, we identify topic posts using Latent Dirichlet Algorithm (LDA) method. Furthermore, we predict the engagement scores (number of likes and comments) using decision tree and random forest method. The experimental results show that there are 11 topics identified by LDA, and after analyzing further at three different engagement levels (views, likes, and comments), the most engaging topic is achievement. The experimental results on engagement prediction reveal that random forest performs better than decision tree, with the MAE score at 1074
Financial incentives

Field: Veterinary (Health Sciences)

THIS series gives readers the opportunity to consider and contribute to discussion of some of the ethical dilemmas that can arise in veterinary practice. Each month, a case scenario is presented, followed by discussion of some of the issues involved. In addition, a possible way forward is suggested; however, there is rarely a cut‐and‐dried answer in such cases, and readers may wish to suggest an alternative approach. This month's dilemma, ‘Financial incentives’, was submitted and is discussed by David Main. Readers with comments to contribute are invited to send them as soon as possible, so that they can be considered for publication in the next issue. Discussion of the dilemma ‘Giraffes’ greater good?’, which was published in the April issue of In Practice, appears on page 263. The series is being coordinated by Siobhan Mullan, of the University of Bristol. It is hoped it will provide a framework that will help practices find solutions when facing similar dilemmas.
ZNF512B binds RBBP4 via a variant NuRD interaction motif and aggregates chromatin in a NuRD complex-independent manner

Field: Biochemistry, Genetics and Molecular Biology (Life Sciences)

The evolutionarily conserved histone variant H2A.Z plays a crucial role in various DNA-based processes, but the mechanisms underlying its activity are not completely understood. Recently, we identified the zinc finger (ZF) protein ZNF512B as a protein associated with H2A.Z, HMG20A and PWWP2A. Here, we report that high levels of ZNF512B expression lead to nuclear protein and chromatin aggregation foci that form in a manner that is dependent on the ZF domains of ZNF512B. Notably, we demonstrate ZNF512B binding to the nucleosome remodeling and deacetylase (NuRD) complex. We discover a conserved amino acid sequence within ZNF512B that resembles the NuRD-interaction motif (NIM) previously identified in FOG-1 and other transcriptional regulators. By solving the crystal structure of this motif bound to the NuRD component RBBP4 and by applying several biochemical and biophysical assays, we demonstrate that this internal NIM is both necessary and sufficient for robust and high-affinity NuRD binding. Transcriptome analyses and reporter assays identify ZNF512B as a repressor of gene expression that can act in both NuRD-dependent and -independent ways. Our study might have implications for diseases in which ZNF512B expression is deregulated, such as cancer and neurodegenerative diseases, and hints at the existence of more proteins as potential NuRD interactors.
Renal cell carcinoma: an overview of the epidemiology, diagnosis, and treatment.

Field: Medicine (Health Sciences)

Renal cell carcinoma (RCC) is the most common type of urogenital cancer. It has a mortality rate of 30-40% and is more commonly seen in men than women. In addition to gender, other risk factors of RCC include obesity, hypertension, smoking, and chronic kidney disease. Following the improvements in diagnostic tests, such as CT and MRI imaging, the incidence of patients diagnosed with RCC has rapidly increased over the past decades. The most common type of RCC, based on histological and molecular subtypes, is clear cell carcinoma which occurs frequently due to mutations in the VHL gene. Nephron-sparing surgery is a selective technique to maintain kidneys in patients while radical nephrectomy and partial nephrectomy are used to remove small tumors. In addition to surgical approaches, adjuvant therapy and targeted therapy are applied in patients with metastatic RCC. In this review, we give an overview of the most recent research on RCC which would help physicians to better manage patients with RCC.
Adaptive Hardware-accelerated Terrain Tessellation

Field: Computer Science (Physical Sciences)

In this master thesis report, a scheme for adaptive hardware terrain tessellation is presented. The scheme uses an offline processing approach where a height map is analyzed in terms of curvature and the result is stored in a resource called density map. This density map is then bound as a resource to the hardware tessellation stage and used to bias the tessellation factor for a given edge. The scheme is implemented inside FrostbiteTM2 by EATM DICETM and produces good results while making the heightfield rendering more efficient. The performance gain can be used to increase the rendering detail, allowing for better visual appearance for the terrain mesh. The scheme is currently implemented for hardware tessellation but could also be used for software terrain mesh generation. The implementation works satisfactory and produces good results with a reasonable speed.
Influence of Corporate Governance Practice on Financial Distress Among Commercial Banks in Kenya

Field: Business, Management and Accounting (Social Sciences)

Over the past decade, banks have experienced financial distress challenges due to internal and external forces. Corporate governance aspects, competition, globalization and influence of information technology have contributed to deteriorating financial performance among commercial banks in Kenya. This study aimed at establishing the influence of corporate governance on financial distress among commercial banks in Kenya. The objective of the study was to establish the influence corporate governance practice on financial distress among Commercial Banks in Kenya. The study adopted a causal research designs to establish the variation between variables of the study. The study adopted a census approach where information was collected from all the 43 Commercial Banks operating in Kenya. The study used both primary and secondary data sources. The primary data was collected using a structured questionnaire consisting of close-ended and open-ended questions. Secondary data on indicators of financial distress was collected using Audited and Published Accounts. Quantitative data was collected from audited and published accounts to calculate Working Capital Ratio, Earnings before Interest Tax (EBIT), Prepaid Earnings, Market Value of Shares and Volume of Sales. A pilot test was conducted to determine the reliability and the validity of the data collection instrument. Data was analyzed using descriptive statistics and t-test was used in testing the significance of the effect between dependent variables and independent variables at 5% level of significance. In addition, Altman Z-score model was used to analyze information collected form the financial statements of commercial banks for the period between 2011-2015. The analysis was done using Statistical Packages for Social Sciences (SPSS Version21). The analyzed data was presented in tables. Multiple regression analysis was used to determine the cause effect relationship between variables. It was established that Commercial Banks experienced a drastic decline in profits generated for the period between 2011-2015 due to corporate governance issues. After conducting multiple regression, it was established that a unit increase in independent variables (Board Characteristics, Stakeholder Rights, Transparency and Disclosure and Internal Control Systems) resulted to a decrease in financial distress among commercial banks in Kenya. The study concluded that there was a statistical significance between the independent variables and dependent variable. The study recommended that commercial banks should be formed of boards that comprise members with relevant knowledge to develop policies that will address needs of various stakeholders, disclose their financial statement annually to enhance investor confidence and reflect the accurate financial state of the firm and should integrate modern technologies to minimize fraudulent financial cases through internal and external transaction.
Intersectionality and climate policy-making: The inclusion of social difference by three Swedish government agencies

Field: Social Sciences (Social Sciences)

Climate change effects, views and approaches vary based on geographical location, class, gender, age and other climate related social factors. It is thus relevant to explore how various government bodies/authorities involved in dealing with climate change represent and act on social difference across diverse societies. This article performs a discourse analysis of climate policy documents from three Swedish government agencies: the Transport Administration, the Energy Agency, and the Environmental Protection Agency. This in order to explore how the different agencies represent social difference: what is made visible; what is obscured; what are the implications? We collected a purposive, collated sample of literature through online searches and personal communications with agency staff. We apply an intersectional approach to the sampled literature. The article finds that while each agency articulates an awareness of social difference, this tends to manifest in broad terms. It argues that this has the effect of obscuring differential climate impacts and effects of climate action, with potential environmental justice implications. Finally, the article concludes by proposing that incorporating intersectional approaches will support more effective, inclusive and equitable climate action, in Sweden and elsewhere.
Dispersion Corrected Structural Properties and Quasiparticle\nBand Gaps of Several Organic Energetic Solids

Field: Physics and Astronomy (Physical Sciences)

We have performed <i>ab initio</i> calculations for a\nseries of energetic solids to explore their structural and electronic\nproperties. To evaluate the ground state volume of these molecular\nsolids, different dispersion correction methods were accounted in\nDFT, namely the Tkatchenko–Scheffler method (with and without\nself-consistent screening), Grimme’s methods (D2, D3­(BJ)),\nand the vdW-DF method. Our results reveal that dispersion correction\nmethods are essential in understanding these complex structures with\nvan der Waals interactions and hydrogen bonding. The calculated ground\nstate volumes and bulk moduli show that the performance of each method\nis not unique, and therefore a careful examination is mandatory for\ninterpreting theoretical predictions. This work also emphasizes the\nimportance of quasiparticle calculations in predicting the band gap,\nwhich is obtained here with the GW approximation. We find that the\nobtained band gaps are ranging from 4 to 7 eV for the different compounds,\nindicating their insulating nature. In addition, we show the essential\nrole of quasiparticle band structure calculations to correlate the\ngap with the energetic properties.
ARTHUR S. LAPINE & COMPANY

Field: Chemistry (Physical Sciences)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTARTHUR S. LAPINE & COMPANYCite this: Anal. Chem. 1951, 23, 3, 6APublication Date (Print):March 1, 1951Publication History Published online3 May 2012Published inissue 1 March 1951https://doi.org/10.1021/ac60051a705RIGHTS & PERMISSIONSArticle Views5Altmetric-Citations-LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit PDF (186 KB) Get e-Alerts Get e-Alerts
Parameterizing Expectations for Incomplete Markets Economies

Field: Economics, Econometrics and Finance (Social Sciences)

This working paper combines the Parameterizing Expectations Approach developed by Marcet (1988) and Den Haan and Marcet (1990), and the approach proposed by Krusell and Smith (1998), to approximate the equilibrium of incomplete markets economies with aggregate uncertainty. The algorithm is tested by solving a version of the economy in Krusell and Smith where shocks take values on a continuum. The results show that the combined algorithm is fast and accurate.