Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of an Electronic Interdisciplinary Chronic Obstructive Pulmonary Disease (COPD) Proforma (E-ICP) to Improve Interdisciplinary Guideline Adherence in the Emergency Department: Modified Delphi Study

Introduction Chronic obstructive pulmonary disease guideline non-adherence is associated with a reduction in health-related quality of life in patients (HRQoL). Improving guideline adherence has the potential to mitigate fragmented care thereby sustaining pulmonary function, preventing acute exacerbations, reducing economic health burdens, and enhancing HRQoL. The development of an electronic proforma stemming from expert consensus, including digital guideline resources and direct interdisciplinary referrals is hypothesised to improve guideline adherence and patient outcomes for emergency department (ED) patients with COPD. Aim The aim of this study was to develop consensus among ED and respiratory staff for the correct composition of a COPD electronic proforma that aids in guideline adherence and management in the ED. Methods This study adopted a mixed-method design to develop the most important indicators of care in the ED. The study involved three phases: (1) a systematic literature review and qualitative interdisciplinary staff interviews to assess barriers and solutions for guideline adherence and qualitative interdisciplinary staff interviews, (2) a modified Delphi panel to select interventions for the proforma, and (3) a consensus process through three rounds of scoring through a quantitative survey (ED and Respiratory consensus) and qualitative thematic analysis on each indicator. Results The electronic proforma achieved acceptable and good internal consistency through all iterations from national emergency department and respiratory department interdisciplinary experts. Cronbach’s alpha score for internal consistency (α) in iteration 1 emergency department cohort (EDC) (α = 0.80 [CI = 0.89%]), respiratory department cohort (RDC) (α = 0.95 [CI = 0.98%]). Iteration 2 reported EDC (α = 0.85 [CI = 0.97%]) and RDC (α = 0.86 [CI = 0.97%]). Iteration 3 revealed EDC (α = 0.73 [CI = 0.91%]) and RDC (α = 0.86 [CI = 0.95%]), respectively. Conclusion Electronic proformas have the potential to facilitate direct referrals from the ED leading to reduced hospital admissions, reduced length of hospital stays, holistic care, improved health care and quality of life and improved interdisciplinary guideline adherence.
Policy Education in U.S. Social Work Programs: Results of a National Study

ABSTRACT Using data from the Council on Social Work Education’s Annual Survey, this study captures a baseline snapshot of policy practice education in U.S.-based bachelor of social work and master of social work programs. Results indicate that the nature of students’ preparation to incorporate policy change into practice depends on which program they attended. This first study of policy practice education across U.S. BSW and MSW programs examines policy-related coursework, instruction, field-based learning, and hands-on educational experiences. The study finds substantial program variation, including the type of faculty teaching policy courses and their direct policy practice experience, as well as in the inclusion of field-based and hands-on policy learning opportunities. Implications for strengthening policy education in the United States are discussed.
SIGNIFICANCE OF ANALYTICS

<p>Despite the number of times marketers have been using analytics as a tool to predict and drive consumer behavior, it is a relatively new application of the science. Technology continues to evolve and offers even more data choices and metrics for analysis, increasing the abilities of marketers to reach their audience. This article expands on several sectors of use, including real estate, social media, and healthcare, and theorizes the impact that analytics will have in the future as the technological means to interpret data catches up with the sheer amount of real-time information available for potential use, especially with the development of the Internet of Things, and rising concerns around data use, regarding data protection and copyright. </p><p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0937/a.php" alt="Hit counter" /></p>
BIG DATA AS INNOVATIVE APPROACH FOR USABILITY EVALUATIONS OF BUILDINGS

Purpose: The purpose of this paper is to investigate how Big Data can add a new dimension to usability evaluations of buildings. Background: There is a tremendous growth in the volume of available data, creating the “Big Data” trend. Industries such as IT, retail and transportation can present a number of examples of successful applications of Big Data. Usability has traditionally been analysed by qualitative research methods, and Big Data gives an opportunity to add quantitative data in such evaluations. Approach: The study is based on literature research and interviews with 15 professionals in IT facilities management and government agencies. We discuss potential data that can be used for usability evaluations of buildings. Results: Big Data is creating new opportunities to analyse a phenomenon based on different types of data. Interesting data categories include: internet traffic, movement-related data, physical environment data, typically from different types of sensors and commercial activity. Possible problematic issues related to use of Big Data are availability, applicability, relevance, privacy policy, ownership, cost and competence. The study indicates that none of the challenges need to hinder use of Big Data when evaluating the usability of in buildings evaluation, provided that the issues are properly managed. We present a sample of Big Data that may be used for evaluation of building usability. Practical Implications: Our conclusion is that there are major advantages in using Big data, increasing the opportunities for the evaluator to find indicators that are relevant to the building being evaluated. Use of Big Data can serve as a step towards a stronger technology focus in usability evaluations of buildings, and thus support innovation in building design and facilities management. Research limitations: The research is mainly done in a Norwegian context. Originality: We have found few previous studies that explicitly link Big Data and evaluation.
Measuring IPv6 Performance in a Newly Deployed IPv6 Campus Network

The implementation of IPv6 in dual-stack environment at Universiti Utara Malaysia campus network has been done successfully but how it performs compared to IPv4 has yet to be measured. A study on the performance of IPv6 network has been done to measure this performance. The study employed a simple performance measurement/testing using ping to a number of IPv6 enabled web servers. The RTT of the ping packets for both IPv4 and IPv6 is compared to see the performance of IPv6 network compared to IPv4 in a dual-stack environment. The study has found that the IPv6 network performance is slightly worse than IPv4 due to some reasons. This paper discusses some of the findings.
Optical investigation on the interaction between a fuel-spray and an oil wetted wall with the focus on secondary droplets

Since the technology of direct injected engines has become more and more prevalent, combustion anomalies such as pre-ignition events have been occurring with increasing frequency. The interaction between the fuel-spray and the oil wetted cylinder liner is considered to be a partial cause for these phenomena. The incoming fuel jet can lead to a detachment of secondary droplets, which may affect pre-ignition events due to their changed flammability properties. To characterize these secondary droplets, spatially and temporally highly resolved optical investigations on the fuel-oil-film-interaction are carried out in this work. Using laser induced fluorescence and two high-speed cameras both fluids are optically separated. Thereby the secondary droplets can be detected and characterized in size, velocity vector, and composition.
Neurokinin-1 Receptor (NK-1R) Antagonists as a New Strategy to Overcome Cancer Resistance

Simple Summary Improving the response, quality of life and survival of oncologic patients through the design and application of the most appropriate treatment for each case is a great scientific challenge. Given the role of the axis formed by Substance P (SP) and its preferred receptor neurokinin-1 receptor (NK-1R) in cancer progression and resistance to oncologic treatments, in this review, we evaluate if the repurposing of aprepitant, which is a safe, efficient and marketed NK-1R antagonist, may be of help to overcome resistance to anticancer treatments. Abstract Nowadays, the identification of new therapeutic targets that allow for the development of treatments, which as monotherapy, or in combination with other existing treatments can contribute to improve response rates, prognosis and survival of oncologic patients, is a priority to optimize healthcare within sustainable health systems. Recent studies have demonstrated the role of Substance P (SP) and its preferred receptor, Neurokinin 1 Receptor (NK-1R), in human cancer and the potential antitumor activity of NK-1R antagonists as an anticancer treatment. In this review, we outline the relevant studies published to date regarding the SP/NK-1R complex as a key player in human cancer and also evaluate if the repurposing of already marketed NK-1R antagonists may be useful in the development of new treatment strategies to overcome cancer resistance.
Kayıtdışı İstihdam ve Kayıtdışı İstihdama Etki Eden Mikro Faktörlerin Analizi: Türkiye Özel Sektör Örneği - Unregistered Employment And Analysis Of Factors Affecting The Unregistered Employment: Turkish Private Sector Case

Sosyal ve ekonomik acidan genis bir alani etkileyen kayitdisi ekonomi ve onun uzantisi olan kayitdisi istihdamin dogasini ve ortaya cikaran sebeplerini anlayabilmek onem arz etmektedir. Bu calismanin amaci, Hanehalki Isgucu Anketinde (HHIA) yer alan secilmis degiskenlerle ikili lojistik regresyon modelini kurarak, Turkiye’de kayitdisi istihdama etki eden mikro faktorlerin belirlenmesini saglamak ve model yardimiyla calisanlarin kayitdisi calisma risklerini olasiliksal olarak hesaplamaktir. Analize yas, cinsiyet, egitim durumu, medeni durum, ana faaliyet, isteki durum, isyerinde calisan sayisi, calisma sekli, bolge ve kir-kent olmak uzere 10 bagimsiz degisken dahil edilmistir. Kurulan modele gore, kir-kent disindaki butun degiskenlerin anlamli ve kayitdisi istihdama etki eden faktorler oldugu tespit edilmistir. Modeli aciklamada kullanilan; isyeri calisan sayisi, ana faaliyet, isteki durumu ve yas degiskenlerinin, kayitdisi calisma riskini en fazla etkileyen faktorler oldugu belirlenmistir.
A RASCH ANALYSIS OF PERCEIVED STIGMA OF COVID-19 AMONG NURSES IN INDONESIA QUESTIONNAIRE

This study is the first to investigate and validate the psychometric properties of the perceived stigma of the Covid-19 questionnaire among nurses in Indonesia. The respondents in the study were 2156 nurses from various regions in Indonesia (34 provinces), consisting of 613 males (28.4%) and 1543 females (71.6%). The number of nurses consisted of 300 respondents (13.9%) from the western region of Indonesia, 1825 respondents (84.6%) from the central region of Indonesia, and 31 respondents (1.4%) from the eastern region of Indonesia. The Rating Scale Model used to investigate the questionnaire's psychometric properties. The analysis results showed that the perceived stigma questionnaire met all the psychometric aspects (unidimensionality, item fit analysis, item validity, diagnostic rating scale, and reliability). Rasch Model analysis showed a value that meets all aspects measured criterion limit. Therefore, this perception stigma questionnaire can measure the perceived stigma of Covid-19 among nurses in Indonesia.
Tracking and Control of Earthmoving Operations Using Spatial Technologies

This article presents a new model for tracking and control of earthmoving operations. The proposed model uses spatial technologies including Global Positioning Systems (GPS) and Geographic Information Systems (GIS) to support its management functions. It is most suited to highway construction projects. GPS is used to automate site data collection in near real time to facilitate information exchange among members of project teams. GIS is employed to automate data acquisition and to analyze collected spatial data. The model uses GPS data to estimate on-site crew productivity and forecast project time and cost. Project progress performance is reported using the earned value concept and the project ratio method. The developed model has been coded in prototype software using object-oriented programming and Microsoft Foundation Classes (MFC). An example project is analyzed to demonstrate the features of the developed model.
Hyperkalemia in the Emergency Department: Different Phenotypes

Background: Hyperkalemia is a common electrolyte disorder in the emergency department, its presence is associated with increased morbidity and mortality. The main causes reported are related to decreased excretion as in patients with impaired renal function and associated with drug intake. Our objectives were to know the prevalence, etiology, management, and outcomes in these patients. Methods: This is a retrospective and observational study. All adult patients admitted to the emergency department with a diagnosis of hyperkalemia from June 2018 to December 2019 were included. We identified 4 groups associated with the development of hyperkalemia: Acute Kidney Injury (AKI) or decompensated Chronic Kidney Disease (CKD), associated with drugs, inadequate dialysis, and others. Demographic data, comorbidities, home medications, clinical and laboratory findings at presentation, management, and patient outcomes were collected from these patients. Results: We included 175 patients; the prevalence of hyperkalemia was 2.1%. In 59% of the cases, hyperkalemia was attributed to AKI or decompensated CKD, 15% to inadequate hemodialysis, 18% associated with medications, and the remaining 8% to dehydration and gastrointestinal bleeding. The general mortality of patients admitted to the Emergency Department (ED) of our institution in the same study period was 7.5% and among the patients included in this study it was 17%. Conclusions. Mortality in patients admitted to the emergency department with hyperkalemia is higher. We found that those with drug-associated hyperkalemia and hyperkalemia attributed to AKI or decompensated CKD have a longer hospital stay and mortality than hyperkalemia associated with inadequate dialysis and dehydration.
Characterization of Geotechnical Variability

Geotechnical variability is a complex attribute that results from many disparate sources of uncertainties. The three primary sources of geotechnical uncertainties are inherent variability, measurement error, and transformation uncertainty. Inherent soil variability is modeled as a random field, which can be described concisely by the coefficient of variation (COV) and scale of fluctuation. Measurement error is extracted from field measurements using a simple additive probabilistic model or is determined directly from comparative laboratory testing programs. Based on an extensive literature review, the COV of inherent variability, scale of fluctuation, and COV of measurement error are evaluated in detail, along with the general soil type and the approximate range of mean value for which the COVs are applicable. Transformation uncertainty and overall property uncertainty are quantified in a companion paper.Key words: inherent soil variability, measurement error, coefficient of variation, scale of fluctuatio.
Identification of Energy Metabolism-Related Gene Signatures From scRNA-Seq Data to Predict the Prognosis of Liver Cancer Patients

The increasingly common usage of single-cell sequencing in cancer research enables analysis of tumor development mechanisms from a wider range of perspectives. Metabolic disorders are closely associated with liver cancer development. In recent years, liver cancer has been evaluated from different perspectives and classified into different subtypes to improve targeted treatment strategies. Here, we performed an analysis of liver cancer from the perspective of energy metabolism based on single-cell sequencing data. Single-cell and bulk sequencing data of liver cancer patients were obtained from GEO and TCGA/ICGC databases, respectively. Using the Seurat R package and protocols such as consensus clustering analysis, genes associated with energy metabolism in liver cancer were identified and validated. An energy metabolism-related score (EM score) was established based on five identified genes. Finally, the sensitivity of patients in different scoring groups to different chemotherapeutic agents and immune checkpoint inhibitors was analyzed. Tumor cells from liver cancer patients were found to divide into nine clusters, with cluster 4 having the highest energy metabolism score. Based on the marker genes of this cluster and TCGA database data, the five most stable key genes (ADH4, AKR1B10, CEBPZOS, ENO1, and FOXN2) were identified as energy metabolism-related genes in liver cancer. In addition, drug sensitivity analysis showed that patients in the low EM score group were more sensitive to immune checkpoint inhibitors and chemotherapeutic agents AICAR, metformin, and methotrexate.
Fertilization in potato (Solanum tuberosum L. group Phureja)

Potato fertilization is an important and pricey task, especially when soil analysis is not considered to define fertilization according to its nutritional requirements. The objective of this study was to evaluate genotypes of Solanum tuberosum group Phureja at different levels of fertilization (LF) in four localities in the department of Nariño. The LF were 0, 60, 70, and 80% of the dose used in the traditional fertilization of the area (900Kg ha-1 of 10-30-10). The split-plot design was used. The LF was located in the main plot, and the genotypes were in the subplots. The genotypes with the best performance in Botana were UdenarStCr10 with 60%, 70%, and 80% LF, UdenarStCr42 with 60% and 80% LF, and UdenarStCr42 with 80% LF with yields between 29.92 and 38.22t ha-1. In the locality of Gualmatán, the best genotype with a LF of 60% was UdenarStCr10, with 70% were UdenarStCr10, UdenarStC42 and UdenarStCr54, and with 80% were UdenarStCr1, UdenarStCr42 and UdenarStCr54 whose yields ranged between 43.58 and 52.91t ha-1. In San Juan, they were UdenarStCr10 with 60% and 80% LF, UdenarStCr42 and UdenarStCr54 with 70% LF with yields between 9.53 and 18.85t ha-1. UdenarStCr1, UdenarStCr10, UdenarStCr42, and UdenarStCr45 responded well to low fertilization levels in all locations. As a result, evaluating them in other environments is recommended to use them as commercial crops or as parents in plant breeding.
Informative prior on structural equation modelling with non-homogenous error structure

Introduction: This study investigates the impact of informative prior on Bayesian structural equation model (BSEM) with heteroscedastic error structure. A major drawback of homogeneous error structure is that, in most studies the underlying assumption of equal variance across observation is often unrealistic, hence the need to consider the non-homogenous error structure. Methods: Updating appropriate informative prior, four different forms of heteroscedastic error structures were considered at sample sizes 50, 100, 200 and 500. Results: The results show that both posterior predictive probability (PPP) and log likelihood are influenced by the sample size and the prior information, hence the model with the linear form of error structure is the best. Conclusions: The study has been able to address sufficiently the problem of heteroscedasticity of known form using four different heteroscedastic conditions, the linear form outperformed other forms of heteroscedastic error structure thus can accommodate any form of data that violates the homogenous variance assumption by updating appropriate informative prior. Thus, this approach provides an alternative approach to the existing classical method which depends solely on the sample information.
Controlled Wrinkling Analysis of Buckled Thin Films on Gradient Elastic Substrate System: A Numerical Study

Continuous change in wrinkle patterns process of thin films to a gradient substrate is the most challenging problem regarding applying reliable and robust numerical methods for postbuckling analysis of the film/substrate system. For example, in the finite element method, the postbuckling simulation suffers from the convergence issue, while, in spectral methods, it is very difficult to capture the localized behavior in soft matters when the boundary conditions are complex. When a thin film is compressed, it can form a wrinkle of a certain amount of wavelength when the compression exceeds a critical value. The compressed compliant substrate system translates to sinusoidal wrinkles and then to period-doubling wrinkling after further compression. In this work, we investigate the mathematical model arising from the changing nature of wrinkle patterns of postbuckled thin films using a robust and efficient numerical algorithm based on the spectral method to evolve the wrinkle patterns. We consider the gradient substrates of three typical variations in the modulus, namely, the symmetry, exponential, and power-law model. It has been observed that the stable equilibrium path has two bifurcation points. At the first bifurcation point, the buckling instability of wrinkling occurs, while the period-doubling buckling instability occurs at the second bifurcation point. For the substrates of material gradients of various types, the amplitude and wavelength are obtained. This study may help in better understanding of wrinkle patterns formation which could be very useful for the designing of stretchable and flexible electronic devices of most substrate systems and to avoid resonance in the noise environment.
Delivery of Cognitive Behavioral Therapy With Diverse, Underresourced Youth Using Telehealth: Advancing Equity Through Consumer Perspectives

ABSTRACT The purpose of this qualitative study was to capture the perspectives of individuals representing an urban, predominantly Latinx community who are underresourced by mental health services about the use of telehealth to deliver mental health treatment. The COVID-19 pandemic required hospital- and community-based mental health programs to pivot to telehealth with alarming speed and very little opportunity to assess the feasibility, acceptability, and disparate impact on unique populations of patients. This study aimed to assess perceived strengths and limitations of telehealth mental health service delivery via qualitative focus group methods. Three focus groups were conducted with 13 youth (aged 8–17) who were being treated at an urban, academic children’s hospital serving a predominantly Latinx community mental health population; two focus groups were conducted with 19 parents of said children; and one focus group was conducted with four mental health providers providing services to this population. A coding schema was designed to capture themes relevant to the following: (1) privacy and confidentiality; (2) perceived limitations of telehealth; (3) comfort with telehealth; (4) therapeutic relationship; (5) perceived strengths of telehealth; (6) perceived safety of telehealth; and (7) advice for providers engaging in telehealth. Findings were illustrative of both perceived strengths and limitations across these domains that can inform optimized telehealth mental health services moving forward.