bluuebunny/crossref_metadata_2025_split huggingface dataset:
Factors Influencing Patient Waiting Time in Emergency Department of Khunyangu Sub-County Hospital, Busia Kenya
Authors: Shisundi Prudencia Yawetsi , Ochanda Damaris A. , Nyangena Elijah 
Published: October 2023

Background: Waiting time remains an important indicator of quality health services. The emergency department is the most critical area of any hospital. For patients who are in urgent need of hospitalization, delayed admission often leads to exacerbation of the patient's condition and may threaten the patient's life. In recent years, the flow of patients to the Emergency Departments of Western countries has steadily increased thus generating overcrowding and extended waiting times. Developing countries face daily challenges in the Emergency Department through huge exposure to several patients seen per day on average. The study therefore sought to establish factors influencing patient waiting time in the emergency department of Khuyangu Sub-County Hospital, Busia Kenya.
Material and Methods: Descriptive cross-sectional research design guided the conduct of this study. Data collection was conducted on 191 patients and healthcare workers over four weeks using an interviewer-administered pretested structured questionnaire. Both descriptive statistics and inferential statistics were used for data analysis. To establish associations between the independent variable and dependent variables, correlations and cross-tabulations were used. Analysis of variance (ANOVA) was used to determine the influence of independent variables on the dependent variable.
Findings: The findings demonstrated an R-squared value of 0.368. It was observed that there was a weak positive correlation that was statistically significant (r=.281, N=191, p=.000) between the availability of healthcare workers at their workstations and waiting time. There was a weak positive correlation that was also statistically significant (r=.228, N=191, p=.002) between communication on waiting time in areas where there was no health worker to attend to the patient and the waiting time.
Conclusion and recommendations: The findings can be used to develop waiting time guidelines and improve waiting in the ED. This study recommends that hospital management should address the identified causes of delay to enable patients to get timely services. In addition, healthcare workers should be available at their workstations. Additional research is necessary to further evaluate the impact and utility of the emergency department.
An Experiential Exploration of a Quality-Based Framework for Knowledge Co-Production
Authors: Garwe Evelyn Chiyevo 
Published: October 2023

This paper introduces a quality-based conceptual framework for planning and conducting research and developmental projects within the knowledge co-production continuum. The paper uses a longitudinal self-study methodology to analyse six case studies over a decade and identify comparative and cumulative trends. The analysis shows the importance of inputs, processes, and outputs in knowledge co-production and reveals intangible benefits such as deep engagement and capacity strengthening relationships. The paper also demonstrates how diverse teams can effectively convert tacit knowledge into explicit knowledge through knowledge co-production. The paper adopts an innovative approach of cross-linking cases along a timeline to provide insights into comparative and cumulative trends and suggests future research directions to explore the interconnections among the framework’s components. The paper argues that the careful design of inputs and processes is essential for successful knowledge co-production outcomes and that the proposed framework can be applied to address complex developmental issues. The paper contributes a novel conceptual framework and a unique cross-linking approach, offering a comprehensive and practical tool for researchers and practitioners.

Received: 5 September 2023 | Revised: 27 September 2023 | Accepted: 18 October 2023

Conflicts of Interest
The author declares that she has no conflicts of interest to this work.

Data Availability Statement
The data that support this work are available upon reasonable request to the corresponding author.

Author Contribution Statement
Evelyn C. Garwe: Conceptualization, Methodology, Validation, Formal analysis, Investigation, Data curation, Writing - original draft, Writing - review & editing, Visualization, Supervision, Project administration.
Spatio-Temporal Attributes of Varicella-Zoster Case Number Trends Assist with Optimizing Machine Learning Predictions
Authors: Wood David A. 
Published: October 2023

The varicella-zoster virus (VZV) (chickenpox) is a problematic infectious disease with regular outbreaks occurring seasonally in most countries. Being able to predict with accuracy the expected number of cases in future weeks based on historical case trend information is an important goal both locally and nationally. Space and time-related attributes extracted from the case number trends for the previous 12 weeks of historical VZV cases recorded in Hungary. These attributes are able to generate reliable predictions for expected VZV cases for multiple weeks ahead. Supervised machine learning (SML) combined with feature selection optimizers can identify combinations of the most effective of 15 local trend time-series attributes supported. These features are complemented with an additional 10 regional trend attributes providing the spatial dimension. The most practical combination of influential trend attributes varies depending on the number of weeks ahead being forecast. SML models are developed using weekly VZV case data (2005–2014) for the regions of Hungary focusing on the region of Komarom-Esztergom (Kom) northwest of Budapest. SML predictions for up to 4 weeks ahead are most strongly influenced by the local time-series attributes including moving averages (MAs) and seasonality components from recently past weeks. However, for predictions further forward (up to 13 weeks) the SML models also exploit regional trend attributes related to recent past rate-of-change in VZV case numbers to provide effective predictions. The proposed trend-attribute method provides more accurate case predictions than the commonly used univariate case-forecasting methods relying on MA and autoregressive integrated moving models. The applied method also provides a means of data mining the most influential trend attributes and the time ranges of their effectiveness. The flexibility and transparency of the technique provide a robust method that could be applied for forecasting short-term epidemiological case numbers associated with other infectious diseases.

Received: 3 September 2023 | Revised: 4 October 2023 | Accepted: 19 October 2023

Conflicts of Interest
The author declares that he has no conflicts of interest to this work.

Data Availability Statement
The data that support the findings of this study are openly available in UC Irvine Machine Learning Repository at https://doi.org/10.24432/C5103B
Elementary Dance Education
Authors: Pomer Janice 
Published: October 2023

Children love to observe, explore, learn, and create.
Elementary Dance Education helps them do all four. And it does so in a unique way, shaping its movement activities around nature themes. In fact, all of the learning experiences are based on different aspects of nature, as the text intertwines children’s innate curiosity and observation skills with the processes of scientific inquiry and artistic creation.
Elementary Dance Education helps teachers develop the instructional skills they need to incorporate dance into their curricula, providing over 70 movement activities and exercises for students in grades K-6. The activities, which stimulate children’s minds and bodies through the process of collaborative dance creation, include variations for younger and older students. Ideas are offered for partner or small-group explorations, making the activities more inclusive and appropriate for each age group.
Another unique feature of this book is the original music accompanying it. Teachers have access to 90 minutes of dynamic sounds, rhythmic percussion, captivating electro-acoustic compositions, and gentle atmospheric selections, delivered through HKPropel, to accompany the learning experiences. The compositions support students’ movement explorations, conveying a range of images and emotions and inspiring a variety of responses.
In addition, Elementary Dance Education offers the following:
Discussion questions for each exercise, prompting in-class discussion and student exploration; the questions come with sample answers or ideas to encourage student responses and spur a fruitful discussion75 photos and several diagrams to illustrate positions and poses and stimulate ideas for the movement exercisesJournal prompts, tailored for older and younger children, to give students the opportunity to respond and reflect on the learning experiencesVideo links (provided in HKPropel) to help illustrate concepts and exercises, offer examples, or encourage students to watch for something specific in an activity
The book’s first chapter introduces the basic elements of dance; the remaining seven chapters offer movement exercises in various areas of nature: plants, animals, water, earth, sky, people, and other wonders.
This book is a rich and easy-to-implement resource not only for elementary dance educators and physical educators but for classroom teachers as well. The exercises in this book use a template for movement discovery in which students will observe, explore, create, and share. This template “can be applied to all areas of the curriculum,” says author Janice Pomer. “It’s an invaluable tool for student engagement, satisfying children’s capacity to watch, wonder, move, interact, discover, and share.”
Elementary Dance Education will promote children’s creativity and curiosity, engage and challenge their minds and bodies, and help them learn to appreciate and support each other as they work together exploring, creating, and sharing their ideas and insights about the natural world through dance.
Note: A code for accessing HKPropel is included with all new print books.
Kepemimpinan Digital dalam Pendidikan: Sebuah Analisis Bibliometrik
Authors: Kusumawati Erna 
Published: October 2023

Penelitian ini bertujuan untuk memetakan perkembangan penelitian dengan tema digital leadership yang dipublikasikan. Penelitian ini bertujuan untuk memberikan gambaran mengenai topik digital leadership sehingga dapat memberikan masukan mengenai kebaruan penelitian di bidang digital leadership yang publikasikan. Penelitian ini menggunakan metode bibiliometrik, yaitu studi kepustakaan yang melihat statistik terhadap suatu publikasi. Basis data publikasi yang digunakan adalah google scholar (tahun 2012 hingga 2022). Untuk membantu peneliti dalam mengumpulkan data bibliografi, peneliti menggunakan aplikasi Publish or perish. Dari hasil penelitian didapatkan 455 artikel, kemudian diolah menggunakan aplikasi MS Excel dan VOSviwer. Hasil penelitian ini menujukan bahwa penelitian tentang digital leadership terus mengalami peningkatan setiap tahunnya hal ini pun sejalan dengan tingkat sitase yang terus meningkat sebelum akhirnya turun di tahun 2020 sampai 2022. Berdasarkan hasil penelitian peneliti menemukan bahwa belum adanya penelitian yang mendalam antara kepimpinan digital dan manajemen sekolah Secara langsung, yang dapat dilihat dari segi mutu, kepuasan, layanan serta supervisi yang digital yang mungkin dapat dilakukan oleh pemimpin institusi Pendidikan.
N2O as a regression proxy for dynamical variability in stratospheric trace gas trends
Authors: Dubé Kimberlee , Tegtmeier Susann , Bourassa Adam , Zawada Daniel , Degenstein Douglas , Sheese Patrick E. , Walker Kaley A. , Randel William 
Published: October 2023

Abstract. Trends in stratospheric trace gases like HCl, N2O, O3, and NOy show a hemispheric asymmetry over the last 2 decades, with trends having opposing signs in the Northern Hemisphere and Southern Hemisphere. Here we use N2O, a long-lived tracer with a tropospheric source, as a proxy for stratospheric circulation in the multiple linear regression model used to calculate stratospheric trace gas trends. This is done in an effort to isolate trends due to circulation changes from trends due to the chemical effects of ozone-depleting substances. Measurements from the Atmospheric Chemistry Experiment Fourier Transform Spectrometer (ACE-FTS) and the Optical Spectrograph and InfraRed Imager System (OSIRIS) are considered, along with model results from the Whole Atmosphere Community Climate Model (WACCM). Trends in HCl, O3, and NOy for 2004–2018 are examined. Using the N2O regression proxy, we show that observed HCl increases in the Northern Hemisphere are due to changes in the stratospheric circulation. We also show that negative O3 trends above 30 hPa in the Northern Hemisphere can be explained by a change in the circulation but that negative ozone trends at lower levels cannot. Trends in stratospheric NOy are found to be largely consistent with trends in N2O.
Photoenhanced sulfates formation by the heterogeneous uptake of SO2 on non-photoactive mineral dust
Authors: Han Chong , Ma Jiawei , Yang Wangjin , Yang Hongxing 
Published: October 2023

Abstract. Heterogeneous uptake of SO2 on mineral dust is a predominant formation pathway of sulfates, whereas the contribution of photo-induced SO2 oxidation to sulfates on the dust interfaces still remains unclear. Here, we investigated heterogeneous photochemical reactions of SO2 on five mineral oxides (SiO2, kaolinite, Al2O3, MgO, and CaO) without photocatalytic activity. Light significantly enhanced the uptake of SO2, and its enhancement effects negatively depended on the basicity of mineral oxides. The initial uptake coefficient (γ0,BET ) and the steady-state uptake coefficient (γs,BET ) of SO2 positively relied on light intensity, relative humidity (RH) and O2 content, while they exhibited a negative relationship with the initial SO2 concentration. Rapid sulfate formation during photo-induced heterogeneous reactions of SO2 with all mineral oxides was confirmed to be ubiquitous, and H2O and O2 played the key roles in the conversion of SO2 to sulfates. Specially, 3SO2 was suggested to be the trigger for photochemical sulfate formation. Atmospheric implications supported a potential contribution of interfacial SO2 photochemistry on non-photoactive mineral dust to atmospheric sulfate sources.
A Regional multi-Air Pollutant Assimilation System (RAPAS v1.0) for emission estimates: system development and application
Authors: Feng Shuzhuang , Jiang Fei , Wu Zheng , Wang Hengmao , He Wei , Shen Yang , Zhang Lingyu , Zheng Yanhua , Lou Chenxi , Jiang Ziqiang , Ju Weimin 
Published: October 2023

Abstract. Top-down atmospheric inversion infers surface–atmosphere fluxes from spatially distributed observations of atmospheric composition in order to quantify anthropogenic and natural emissions. In this study, we developed a Regional multi-Air Pollutant Assimilation System (RAPAS v1.0) based on the Weather Research and Forecasting–Community Multiscale Air Quality (WRF–CMAQ) modeling system model, the three-dimensional variational (3D-Var) algorithm, and the ensemble square root filter (EnSRF) algorithm. This system can simultaneously assimilate hourly in situ CO, SO2, NO2, PM2.5, and PM10 observations to infer gridded emissions of CO, SO2, NOx, primary PM2.5 (PPM2.5), and coarse PM10 (PMC) on a regional scale. In each data assimilation window, we use a “two-step” scheme, in which the emissions are inferred first and then input into the CMAQ model to simulate initial conditions (ICs) of the next window. The posterior emissions are then transferred to the next window as prior emissions, and the original emission inventory is only used in the first window. Additionally, a “super-observation” approach is implemented to decrease the computational costs, observation error correlations, and influence of representative errors. Using this system, we estimated the emissions of CO, SO2, NOx, PPM2.5, and PMC in December and July 2016 over China using nationwide surface observations. The results show that compared to the prior emissions (2016 Multi-resolution Emission Inventory for China – MEIC 2016)), the posterior emissions of CO, SO2, NOx, PPM2.5, and PMC in December 2016 increased by 129 %, 20 %, 5 %, 95 %, and 1045 %, respectively, and the emission uncertainties decreased by 44 %, 45 %, 34 %, 52 %, and 56 %, respectively. With the inverted emissions, the RMSE of simulated concentrations decreased by 40 %–56 %. Sensitivity tests were conducted with different prior emissions, prior uncertainties, and observation errors. The results showed that the two-step scheme employed in RAPAS is robust in estimating emissions using nationwide surface observations over China. This study offers a useful tool for accurately quantifying multi-species anthropogenic emissions at large scales and in near-real time.
Smart Campus - Digitalisaatio ja kehittyvät teknologiat työssä ja oppimisessa
Authors: Brauer Sanna , Mäenpää Kati , Tervaskanto Manne , Heikkinen Kari-Pekka 
Published: October 2023

Ammatilliset oppilaitokset ja ammattikorkeakoulut vahvistavat työ- ja elinkeinoelämälähtöistä koulutuksen kehittämistä uusimalla opetuksessa käytettäviä laitteita ja sovelluksia sekä lisäämällä modernia teknologiaa opetukseen. Investoinnit eivät yksin riitä, vaan tarvitaan myös uusiin oppimisympäristöihin soveltuvaa käsitystä oppimisesta ja pedagogisista menetelmistä, jotta opinto- ja työuran aikainen koulutus innostaa osallistumaan ja tukee laadukasta oppimista. Työelämäpedagogiikalla tavoitellaan toimintamalleja, joissa korkeakoulut ja työelämä luovat yhdessä teoriaa ja käytäntöä yhdistäviä oppimisympäristöjä. Tarkastelemme artikkelissa korkeakoulutuksen työelämärelevanssia ja työelämäyhteyttä opettajien, opiskelijoiden ja työelämäkumppanien näkökulmista uusissa korkean teknologian oppimisympäristöissä, joita on tutkittu vasta vähän.
Tutkimusaineisto kerättiin vuosina 2021 ja 2022 kolmessa ryhmähaastattelussa. Tutkimus sijoittuu Oulun ammattikorkeakoulun kyberfyysisten, hybridimallisten oppimisympäristöjen monialaiseen kokonaisuuteen. Teoriasidonnaisen sisällönanalyysin avulla kartoitamme digitalisaation esiintuomia osaamistarpeita ja tapoja vahvistaa korkeakoulutuksen työelämärelevanssia ja työelämätaitojen kehittämistä ammattikorkeakoulutuksen aikana. Tuloksena kuvaamme neljä keskeistä kehitysnäkökulmaa: 1) digitalisaatio ja kehittyvät teknologiat oppimisessa 2) opetussuunnitelmat 3) tunnistetut työelämätaidot ja 4) osaamisen kehittäminen. Tuloksemme täydentävät aiempaa tutkimusta jatkuvasta oppimisesta ja digitaalisista oppimisympäristöistä sekä ohjaavat suunnittelemaan tulevaisuuden koulutustarjontaa.
УПРАВЛЕНИЕ ИНВЕСТИЦИОННЫМ ПОРТФЕЛЕМ НА ОСНОВЕ МАТЕМАТИЧЕСКОГО МОДЕЛИРОВАНИЯ
Authors: Мазакова А.Т. , Калимолдаев А.М. , Джомартова Ш.А. , Байшолан Н. , Кульжанова А.А. , Мазаков Т.Ж. 
Published: October 2023

Аннотация. Цель настоящего исследования заключается в глубоком анализе и прогнозировании инвестиционных решений с применением математических методов и моделей. Применение математического моделирования в области инвестиций представляет собой мощный аналитический инструмент, способствующий более точному пониманию динамики финансовых рынков, оценке рисков и эффективности выбранных инвестиционных стратегий.
Использование математических методов и моделей позволяет инвесторам и управляющим портфелем принимать обоснованные решения, основанные на количественных данных и детальном анализе. Одной из важных задач, которые решаются с помощью математического моделирования, является определение оптимальных параметров инвестиционных стратегий. Эти параметры включают доли активов в портфеле, частоту перебалансировки и другие факторы, которые оказывают влияние на успешность стратегии.
Моделирование также позволяет учитывать множество рисков, включая волатильность рынка, инфляцию, процентные ставки и геополитические события. Это обеспечивает более точное управление рисками и позволяет адаптировать стратегии к изменяющимся макроэкономическим условиям.
Преимущество математических моделей также заключается в их способности проводить симуляции и тестирование различных сценариев. Это позволяет оценить вероятность достижения инвестиционных целей в различных условиях рынка, а также оценить потенциальные риски и возможности. Такой подход обеспечивает более основательное принятие решений и повышает успешность инвестиционных стратегий.
В целом, использование математических методов и моделей в инвестиционной деятельности позволяет более точно анализировать, прогнозировать и управлять инвестиционными решениями, что способствует более устойчивому и успешному финансовому будущему.
Ключевые слова: активы, возвратность кредита, инвестиционный портфель.
Prevalence of Autoimmune Diseases in Patients Treated With Immune Checkpoint Inhibitors: An Epidemiological Study Using A Global Network of Health Care Organizations
Authors: Khandwala Pushti , Desai Devashish , Lau Arthur 
Published: January 2025

ObjectiveEvaluate prevalence of new onset autoimmune conditions (ACs) after commencement of immune checkpoint inhibitors (ICIs).MethodsThis retrospective observational study was done using TriNetX. Patients with neoplasm for which ICIs were approved were stratified into two groups based on ICI use. Multivariate Cox proportional hazard models and Kaplan Meier method were used to assess risk of developing ACs among the groups. Subgroup analysis was done to evaluate risk of ACs in patients receiving cytotoxic T‐lymphocyte‐associated protein 4 inhibitor (CTLA4i) versus program cell death protein 1 inhibitor (PD1i) and program death ligand 1 inhibitor (PDL1i) inhibitors and combination treatment (CT) (CTLA4 + PD1i/PDL1i) versus PD1i/PDL1i.ResultsPatients who received ICIs (2.03% of total population) were younger (68.7 ± 12.6 vs 71.8 ± 13.9; P < 0.001), predominantly male (54% vs 41%; P < 0.0001), and White (68% vs 58%; P < 0.0001), had lower odds of developing systemic lupus erythematosus (SLE) (0.366% vs 0.437%, odds ratio [OR] 0.837; P = 0.0005) and systemic sclerosis (0.108% vs 0.135%, OR 0.796; P = 0.0151), and had higher odds of developing rheumatoid arthritis (RA) (2.194% vs 1.752%, OR 1.258; P < 0.0001 with hazard ratio 1.746; P < 0.0001). There was no significant difference in developing vasculitis, dermatopolymyositis, and psoriatic arthritis when compared to patients who did not receive ICIs. The prevalence of ACs remained true after propensity score matching, except that there was no difference compared with the prevalence of SLE (0.37% [n = 391] vs 0.393% n = 415], OR 0.942 [0.82–1.082]; P = 0.3970).ConclusionPatients receiving ICIs have an increased risk of developing ACs, especially RA. There needs to be a high index of suspicion and awareness about ACs for prescribers of ICIs.