bluuebunny/crossref_metadata_2025 huggingface dataset:
Ways to Improve the Assimilating Efficiency of the Graphic Editors’ Functionality (On the Materials of the Training Course on the Discipline "Computer Technologies in Design")
Authors: Oliinyk Viktoriia , Boltenkov Arkadiy
Published: December 2021

The purpose of this research is to systematize and present the acquired in the process of personal teaching effective teaching methods and techniques, as well as meaningful conclusions in the context of the course “Computer Technology in Design” for its optimization. Research methodology. The research is based, first of all, on the author’s remarks and observations on the peculiarities of mastering by students of the speciality “Graphic Design and Advertising” of the Kyiv National University of Culture and Arts the functionality of graphic editors. That is, among the scientific methods in the preparation of the article were used methods of observation, experiment, comparison, classification, systematization, scientific analysis. Scientific novelty. The study has found that the current model of teaching computer science to designers focused on the study of graphic editors needs to be improved and updated in the context of current trends in computer design. Therefore, taking into account the existing shortcomings, it was proposed to optimize the training approach in four main positions:

study of digital art terminology;

working out of technical receptions;

combination of basic artistic principles with program functionality;

education of analytical qualities in students (graphic image analysis).

Thus, all volume of the tasks directed on working off of technical receptions in combination with basic art bases is classified into three categories according to their maintenance:

algorithmic tasks (the result is predicted);

creative tasks (the result is variable, unpredictable);

combined tasks (the result is variable).

The practical block of tasks for studying graphic editors Adobe Photoshop and Adobe Illustrator for 1–2 years students, successfully tested during the educational process during 2018–2021, is reflected in the table, and the relevant analytical conclusions are presented in the form of infographics. Conclusions. As it was proved in the course of the research, it is the accumulated teaching experience in the context of theoretical substantiation that can experimentally help to determine a quality educational model. As a result, it was possible to systematize the effective teaching methods and techniques acquired during personal teaching, to present a successfully tested set of tasks, as well as to formulate theses on optimizing the educational model in the context of the “Computer Technology in Design” course.
ANALISIS PEMETAAN SALURAN PEMASARAN KOPI SANGGABUANA KARAWANG
Authors: Wijaya I Putu Eka , Indah Novi Permata , Fadilla Arif
Published: December 2021

Penelitian ini bertujuan untuk mengetahui pemetaan saluran pemasaran kopi Sanggabuana dengan menggunakan metode analisis deskriptif kualitatif dengan teknik pengambilan responden menggunakan simple random sampling dan snowball sampling. Simple Random Sampling digunakan untuk mendapatkan responed petani dan Snowball Sampling digunakan untuk menganalisis pelaku pasar hingga sampai pada tangan konsumen. Hasil yang telah dicapai dalam penelitian Saluran Pemasaran Kopi Sanggabuana di Kecamatan Tegalwaru Kabupaten Karawang memiliki tiga buah saluran yaitu : Saluran pemasaran I yang terdiri dari Produsen→BUMDes→Pedagang Pengecer→Konsumen; Saluran pemasaran II yang terdiri dari Produsen→Pengumpul (desa) →BUMDes→Pedagang Pengecer→Konsumen; Saluran pemasaran III yang terdiri dari Produsen→Pengumpul (desa) → Pengumpul (kabupaten) →Konsumen.
Wissenschaftsbasierte Politikberatung auf Abruf. Zur Rolle von Ressortforschungseinrichtungen für Ministerien am Beispiel der Politikberatung des Umweltbundesamtes
Authors: Böcher Michael
Published: December 2021

Der Beitrag untersucht die Rolle von Ressortforschungseinrichtungen für die wissensbasierte Politikformulierung von Ministerien anhand des Beispiels des Bundesumweltministeriums und dessen Beratung durch das Umweltbundesamt (UBA). Die Fragestellung lautet, wie die ministerialen Ansprüche an diese Beratung durch die Organisation und Arbeitsweise von Ressortforschungseinrichtungen eingelöst werden. Vor dem theoretischen Hintergrund aktueller Wissenstransfer- und Politikberatungsmodelle wird argumentiert, dass diese Einrichtungen als Schnittstellenorganisationen zwischen wissenschaftlichem und politischem System Aufgaben wissenschaftsbasierter Politikberatung in einer Weise wahrnehmen, die sie für die Politikformulierung von Ministerien und den Politikvollzug unverzichtbar macht. Auf der Basis eines Modells der Ressortforschung, das Ressortforschung als dauerhafte Verbindung zwischen Aufgaben der Forschung, Integration und Verwertung begreift, werden dann konkrete Ressortforschungsprozesse des UBA untersucht. Dabei wird deutlich, dass das von wissenschaftssoziologischen Untersuchungen zur Ressortforschung besonders herausgestellte „Spannungsverhältnis“ zwischen Wissenschaftssystem und Ansprüchen des politischen Systems für die betrachtete Ressortforschungseinrichtung UBA zwar immanent, jedoch nicht zwangsläufig problematisch ist. Zudem ist dieses Spannungsverhältnis für wissenschaftliche Politikberatung allgemein grundlegend. Das Modell der Ressortforschung kann über den konkreten Fall UBA hinaus auch für die Analyse weiterer Ressortforschungseinrichtungen Anwendung finden.
Retention in rural speech and language therapy: The impact of rural tertiary education in Australia
Authors: Smith-Tamaray Michelle , Verdon Sarah , Hoffman Laura
Published: December 2021

BACKGROUND: Recruitment and retention of skilled health workers into rural areas is a major challenge to achieving equity in health between rural and urban populations. OBJECTIVE: This study explored the impact of rurally-based tertiary education in promoting the recruitment and retention of speech and language therapists (SLTs) in non-metropolitan areas and intention to remain in the profession. METHODS: Participants in this cohort study were 133 graduates from a rurally-based speech and language therapy course in Australia who completed the course between 1998 and 2018. Data were collected via an online survey. Data were analysed using inferential statistics, ArcGIS mapping software and content analysis in NVivo12. RESULTS: 65.0% of the graduates practiced in rural or remote areas with just 21.1% practicing in major cities. Most participants’ ideal work location was in a rural area. Benefits of rural practice included seeing a mixed caseload, living near family, work/life balance and loving their location. Challenges of rural practice included limited opportunities for specialist caseloads and career progression. In total, 93.2% of the rural graduates intended to remain in the speech and language therapy profession for the next 5 years. CONCLUSIONS: This study indicates that SLTs who are trained in rural areas with a focus on servicing rural populations are highly likely to enter and remain in rural practice, consistent with the rural pipeline model.
World Lawyers’ Pledge on Climate Action†
Authors: Stucki Saskia , Futhazar Guillaume , Sparks Tom , Ackerman Bruce , Bensouda Fatou , Bhasin Lalit , Boyd David R. , Choi Chunghwan , Day Martyn , Ferrer Mac-Gregor Poisot Eduardo , Hassan Idayat , Kaniaru Donald W. , Keller Helen , Krsticevic Viviana , Oposa Antonio , Peters Anne , de Albuquerque Paulo Sérgio Pinto , Piovesan Flavia , Pollard Caleb , Voigt Christina
Published: December 2021

The World Lawyers’ Pledge on Climate Action is an open letter from and to the global legal community, calling for the mainstreaming of climate concerns throughout the law and legal profession. It seeks to rethink and redefine the role and responsibilities of lawyers in the climate crisis, and invites lawyers of all kinds —including practitioners, judges, scholars, civil servants, law students, and lawmakers—to integrate climate concerns into their respective areas of expertise and work. The magnitude and urgency of the climate crisis require all lawyers, not just environmental lawyers, to be part of the solution and contribute to climate-protective legal development. The Pledge can be endorsed and signed at http://www.lawyersclimatepledge.org.
The Combined Effects of Amyloidosis and Serotonin Deficiency by Tryptophan Hydroxylase-2 Knockout Impacts Viability of the APP/PS1 Mouse Model of Alzheimer’s Disease
Authors: von Linstow Christian Ulrich , Waider Jonas , Bergh Marianne Skov-Skov , Anzalone Marco , Madsen Cecilie , Nicolau Aina Battle , Wirenfeldt Martin , Lesch Klaus-Peter , Finsen Bente
Published: December 2021

Background: A decline of brain serotonin (5-HT) is held responsible for the changes in mood that can be observed in Alzheimer’s disease (AD). However, 5-HT’ergic signaling is also suggested to reduce the production of pathogenic amyloid-β (Aβ). Objective: To investigate the effect of targeted inactivation of tryptophan hydroxylase-2 (Tph2), which is essential for neuronal 5-HT synthesis, on amyloidosis in amyloid precursor protein (APP)swe/presenilin 1 (PS1) ΔE9 transgenic mice. Methods: Triple-transgenic (3xTg) APP/PS1 mice with partial (+/-) or complete Tph2 knockout (–/–) were allowed to survive until 6 months old with APP/PS1, Tph2–/–, and wildtype mice. Survival and weight were recorded. Levels of Aβ42/40/38, soluble APPα (sAβPPα) and sAβPPβ, and cytokines were analyzed by mesoscale, neurotransmitters by mass spectrometry, and gene expression by quantitative PCR. Tph2, microglia, and Aβ were visualized histologically. Results: Tph2 inactivation in APP/PS1 mice significantly reduced viability, without impacting soluble and insoluble Aβ42 and Aβ40 in neocortex and hippocampus, and with only mild changes of soluble Aβ42/Aβ40. However, sAβPPα and sAβPPβ in hippocampus and Aβ38 and Aβ40 in cerebrospinal fluid were reduced. 3xTg–/–mice were devoid of Tph2 immunopositive fibers and 5-HT. Cytokines were unaffected by genotype, as were neocortical TNF, HTR2a and HTR2b mRNA levels in Tph2–/– mice. Microglia clustered around Aβ plaques regardless of genotype. Conclusion: The results suggest that Tph2 inactivation influences AβPP processing, at least in the hippocampus, although levels of Aβ are unchanged. The reduced viability of 3xTg–/–mice could indicate that 5-HT protects against the seizures that can impact the viability of APP/PS1 mice.
Hippocampal-Subregion Mechanisms of Repetitive Transcranial Magnetic Stimulation Causally Associated with Amelioration of Episodic Memory in Amnestic Mild Cognitive Impairment
Authors: Chen Jiu , Chen Rong , Xue Chen , Qi Wenzhang , Hu Guanjie , Xu Wenwen , Chen Shanshan , Rao Jiang , Zhang Fuquan , Zhang Xiangrong
Published: December 2021

Background: Altered hippocampal subregions (HIPsub) and their network connectivity relate to episodic memory decline in amnestic mild cognitive impairment (aMCI), which is significantly limited by over-dependence on correlational associations. Objective: To identify whether restoration of HIPsub and its network connectivity using repetitive transcranial magnetic stimulation (rTMS) is causally linked to amelioration of episodic memory in aMCI. Methods: In the first cohort, analysis of HIPsub grey matter (GM) and its functional connectivity was performed to identify an episodic memory-related circuit in aMCI by using a pattern classification approach. In the second cohort, this circuit was experimentally modulated with rTMS. Structural equation modeling was employed to investigate rTMS regulatory mechanism in amelioration of episodic memory. Results: First, in the first cohort, this study identified HIPsub circuit pathology of episodic memory decline in aMCI patients. Second, in the second cohort, restoration of HIPc GM and its connectivity with left middle temporal gyrus (MTG.L) are causally associated with amelioration of episodic memory in aMCI after 4 weeks of rTMS. Especially important, the effects of HIPc GM changes on the improvement of episodic memory were significantly mediated by HIPc connectivity with MTG.L changes in aMCI. Conclusion: This study provides novel experimental evidence about a biological substrate for the treatment of the disabling episodic memory in aMCI patients. Correction of breakdown in HIPc structure and its connectivity with MTG can causally ameliorate episodic memory in aMCI.
The Correlation of Tau Levels with Blood Monocyte Count in Patients with Alzheimer’s Disease
Authors: Sun Hao-Lun , Zhou Fa-Ying , Chen Dong-Wan , Tan Cheng-Rong , Zeng Gui-Hua , Liu Yu-Hui , Wang Jun , Bu Xian-Le , Wang Yan-Jiang , Li Hui-Yun , Jin Wang-Sheng
Published: December 2021

Background: Recent studies have shown that monocytes can phagocytize the tau protein, which may ameliorate tau-type pathology in Alzheimer’s disease (AD). However, there are few clinical studies on the relationship between monocytes and tau-type pathology in AD patients. Objective: We aimed to explore changes in peripheral monocytes and their association with tau protein in AD patients. Methods: A total of 127 clinically diagnosed AD patients and 100 age- and sex-matched cognitively normal controls were recruited for analysis of the correlation of plasma tau levels with the blood monocyte count. Cerebrospinal fluid (CSF) samples from 46 AD patients and 88 controls were further collected to analyze the correlation of CSF tau and amyloid-β (Aβ) levels with the blood monocyte count. 105 clinically diagnosed mild cognitive impairment (MCI) patients and 149 age- and sex-matched cognitively normal controls were recruited from another cohort for verification. Results: Compared to normal controls, AD patients showed a significant reduction in the blood monocyte count. In addition, the monocyte count of AD patients was negatively correlated with CSF t-tau and p-tau levels but not with plasma tau levels. In normal people, monocyte count lack correlation with tau levels both in plasma and CSF. Monocyte count were not correlated with CSF Aβ levels in either group but were negatively correlated with CSF tau/Aβ42 levels in the AD group. We had further verified the correlations of monocyte count with CSF tau levels in another cohort. Conclusion: This study suggests that monocytes may play an important role in the clearance of tau protein in the brain.
Diagnostic Model of Alzheimer’s Disease in the Elderly Based on Protein and Metabolic Biomarkers
Authors: Yang Li , Xuan Cheng , Yu Caiyan , Zheng Pinpin , Yan Jing
Published: December 2021

Background: With the accelerating aging process, the number of participants with Alzheimer’s disease (AD) is rising sharply, causing a huge economic burden. Objective: This study aimed to identify blood protein and metabolic biomarkers and explore the diagnostic model for AD among elderly in southeast China. Methods: We established a cohort among population with high risk AD in Zhejiang Province in 2018. Case and control groups each consisting of 45 subjects, matched for gender and age, were randomly selected from the cohort. Based on bioinformatics research, PRM/MRM technology was used to detect candidate biomarkers. Ensemble-based feature selection and machine learning methods was used to screen important variables as risk indicators for AD. Based on the risk biomarkers, the risk diagnostic model of AD in the elderly was constructed and evaluated. Results: Cystine and CPB2 were evaluated as biomarkers. The diagnostic model is constructed using logistic regression algorithm with the best cutoff value, sensitivity, specificity, and accuracy of 0.554, 0.895, 0.976, and 0.938, respectively, which determined by Youden’s index. The results showed that the model with protein and metabolite had a high efficiency. Conclusion: It showed that the diagnostic model constructed by Cystine and CPB2 had a good performance on sample classification. This study was of great significance for the early screening and diagnosis of AD, timely intervention, control and delay the development of dementia in southeast China.
Age-Dependent Changes in the Plasma and Brain Pharmacokinetics of Amyloid-β Peptides and Insulin
Authors: Zhou Andrew L. , Sharda Nidhi , Sarma Vidur V. , Ahlschwede Kristen M. , Curran Geoffry L. , Tang Xiaojia , Poduslo Joseph F. , Kalari Krishna R. , Lowe Val J. , Kandimalla Karunya K.
Published: December 2021

Background: Age is the most common risk factor for Alzheimer’s disease (AD), a neurodegenerative disorder characterized by the hallmarks of toxic amyloid-β (Aβ) plaques and hyperphosphorylated tau tangles. Moreover, sub-physiological brain insulin levels have emerged as a pathological manifestation of AD. Objective: Identify age-related changes in the plasma disposition and blood-brain barrier (BBB) trafficking of Aβ peptides and insulin in mice. Methods: Upon systemic injection of 125I-Aβ40, 125I-Aβ42, or 125I-insulin, the plasma pharmacokinetics and brain influx were assessed in wild-type (WT) or AD transgenic (APP/PS1) mice at various ages. Additionally, publicly available single-cell RNA-Seq data [GSE129788] was employed to investigate pathways regulating BBB transport in WT mice at different ages. Results: The brain influx of 125I-Aβ40, estimated as the permeability-surface area product, decreased with age, accompanied by an increase in plasma AUC. In contrast, the brain influx of 125I-Aβ42 increased with age, accompanied by a decrease in plasma AUC. The age-dependent changes observed in WT mice were accelerated in APP/PS1 mice. As seen with 125I-Aβ40, the brain influx of 125I-insulin decreased with age in WT mice, accompanied by an increase in plasma AUC. This finding was further supported by dynamic single-photon emission computed tomography (SPECT/CT) imaging studies. RAGE and PI3K/AKT signaling pathways at the BBB, which are implicated in Aβ and insulin transcytosis, respectively, were upregulated with age in WT mice, indicating BBB insulin resistance. Conclusion: Aging differentially affects the plasma pharmacokinetics and brain influx of Aβ isoforms and insulin in a manner that could potentially augment AD risk.
Association of Cholinergic Basal Forebrain Volume and Functional Connectivity with Markers of Inflammatory Response in the Alzheimer’s Disease Spectrum
Authors: Teipel Stefan J. , Dyrba Martin , Ballarini Tommaso , Brosseron Frederic , Bruno Davide , Buerger Katharina , Cosma Nicoleta-Carmen , Dechent Peter , Dobisch Laura , Düzel Emrah , Ewers Michael , Fliessbach Klaus , Haynes John D. , Janowitz Daniel , Kilimann Ingo , Laske Christoph , Maier Franziska , Metzger Coraline D. , Munk Matthias H. , Peters Oliver , Pomara Nunzio , Preis Lukas , Priller Josef , Ramírez Alfredo , Roy Nina , Scheffler Klaus , Schneider Anja , Schott Björn H. , Spottke Annika , Spruth Eike J. , Wagner Michael , Wiltfang Jens , Jessen Frank , Heneka Michael T.
Published: December 2021

Background: Inflammation has been described as a key pathogenic event in Alzheimer’s disease (AD), downstream of amyloid and tau pathology. Preclinical and clinical data suggest that the cholinergic basal forebrain may moderate inflammatory response to different pathologies. Objective: To study the association of cholinergic basal forebrain volume and functional connectivity with measures of neuroinflammation in people from the AD spectrum. Methods: We studied 261 cases from the DELCODE cohort, including people with subjective cognitive decline, mild cognitive impairment, AD dementia, first degree relatives, and healthy controls. Using Bayesian ANCOVA, we tested associations of MRI indices of cholinergic basal forebrain volume and functional connectivity with cerebrospinal fluid (CSF) levels of sTREM2 as a marker of microglia activation, and serum levels of complement C3. Using Bayesian elastic net regression, we determined associations between basal forebrain measures and a large inflammation marker panel from CSF and serum. Results: We found anecdotal to moderate evidence in favor of the absence of an effect of basal forebrain volume and functional connectivity on CSF sTREM2 and serum C3 levels both in Aβ42/ptau-positive and negative cases. Bayesian elastic net regression identified several CSF and serum markers of inflammation that were associated with basal forebrain volume and functional connectivity. The effect sizes were moderate to small. Conclusion: Our data-driven analyses generate the hypothesis that cholinergic basal forebrain may be involved in the neuroinflammation response to Aβ42 and phospho-tau pathology in people from the AD spectrum. This hypothesis needs to be tested in independent samples.
Utility of Machine Learning Approach with Neuropsychological Tests in Predicting Functional Impairment of Alzheimer’s Disease
Authors: Kwak Seyul , Oh Dae Jong , Jeon Yeong-Ju , Oh Da Young , Park Su Mi , Kim Hairin , Lee Jun-Young
Published: December 2021

Background: In assessing the levels of clinical impairment in dementia, a summary index of neuropsychological batteries has been widely used in describing the overall functional status. Objective: It remains unexamined how complex patterns of the test performances can be utilized to have specific predictive meaning when the machine learning approach is applied. Methods: In this study, the neuropsychological battery (CERAD-K) and assessment of functioning level (Clinical Dementia Rating scale and Instrumental Activities of Daily Living) were administered to 2,642 older adults with no impairment (n = 285), mild cognitive impairment (n = 1,057), and Alzheimer’s disease (n = 1,300). Predictive accuracy on functional impairment level with the linear models of the single total score or multiple subtest scores (Model 1, 2) and support vector regression with low or high complexity (Model 3, 4) were compared across different sample sizes. Results: The linear models (Model 1, 2) showed superior performance with relatively smaller sample size, while nonlinear models with low and high complexity (Model 3, 4) showed an improved accuracy with a larger dataset. Unlike linear models, the nonlinear models showed a gradual increase in the predictive accuracy with a larger sample size (n > 500), especially when the model training is allowed to exploit complex patterns of the dataset. Conclusion: Our finding suggests that nonlinear models can predict levels of functional impairment with a sufficient dataset. The summary index of the neuropsychological battery can be augmented for specific purposes, especially in estimating the functional status of dementia.
Veracity assessment by single and multi-source identification algorithms during the crisis
Authors: Suthanthiradevi P. , Karthika S.
Published: December 2021

Social networks have become a popular communication tool for information sharing. Twitter offers access to data and provides a significant opportunity to analyze data. During pandemics, Twitter becomes a big source for the dispersal of unverified information. In social media, it is difficult to find the sources of rumors. To tackle this problem the authors have developed a hybrid rumor centrality algorithm for rumor source detection in social networks. The authors propose an S-RSI algorithm for identifying a single rumor centre and an M-RSI algorithm for identifying the propagations of multiple rumor centres in the thread of conversation. The proposed rumor centrality algorithm efficiently predicts the rumor disseminating possibilities in a conversation tree with the aid of graph theoretical approach. The authors have evaluated the performance of the algorithms on the PHEME dataset containing seven real-time event conversational trees based on the tweet messages. The results show that the proposed is best suitable in finding the rumor source centre with a high probability in social media during a crisis.
Can pharmacological, psychological and non-invasive brain stimulation interventions prevent depression after stroke? A cochrane review summary with commentary
Authors: Ferrario Irene , Negrini Stefano
Published: December 2021

BACKGROUND: Depression is very common in patients after a stroke and it can impact recovery. OBJECTIVE: The Cochrane Review aimed to determine whether psychological therapy, pharmacological interventions, non-invasive brain stimulation, or their combination can prevent depression after stroke. METHODS: The population addressed were patients who suffered from a stroke and had no previous diagnosis of depressive disorders. Studies comparing pharmacological intervention to placebo, psychological therapy to usual care, and non-invasive brain stimulation to sham stimulation or usual care were included. RESULTS: Outcome information was available for nine pharmacological and two psychological trials, showing favorable treatment effects. CONCLUSIONS: The available evidence suggests that pharmacological interventions and psychological therapy may prevent depression and improve mood after stroke. Although, the current evidence is of very low quality resulting in serious uncertainties about the estimates of effect observed.
Data Exploration of Social Determinants of Health, Health Access and Quality in a Global Health Setting
Authors: Gao Grace , Martin Christie L , Wang Michelle , Byrne Matthew , Brettner Joyce
Published: December 2021

Diseases have no borders, and global health operates from both within and beyond. Global health informatics can adopt an assets-oriented approach to mitigate concerns by maximizing global health data, principles, and resources combined with geographic information systems’ use case mapping. This exploratory study utilizes an assets-oriented approach to analyze four global social determinants of health indicators, including Skilled Birth Attendance, Measles Immunization Coverage, Education (Female), and the Healthcare Access and Quality Index in relation to countries’ income and geographical region. Data were extracted and analyzed from two publicly available datasets. Positive trends and variations were detected among all variables aggregated by countries’ income category and geographical region. These findings pinpoint potential health assets that the discipline of nursing can leverage to build healthier global health communities.
The Clinical Nursing and Midwifery Dashboard (CNMD): A State-Wide Implementation
Authors: Abdel-Hafez Ahmad , Baker Don , Winning Michelle , Scanlon Alan
Published: December 2021

The clinical nursing and midwifery dashboard (CNMD) was built to provide a near real-time information and data visualisations for nurse unit managers (NUMs) and maternity unit managers (MUMs) within only a 5-15 minutes delay from when they enter data to the integrated electronic medical records (ieMR) system. The dashboard displays metrics and information about current adult inpatients in overnight wards. The aim is to support NUMs and MUMs to manage their daily workload and have continuous visibility of patients nursing risk and safety assessment documentation. A quantitative evaluation approach was conducted to measure the impact of the dashboard on key performance indicators. Statistical analysis was completed to compare risk assessment average completion times prior to and post CNMD implementation. The results of the evaluation were positive, and the statistical analysis shows significant reduction in the average time to complete different risk assessments with p-value<0.01.
Ontology-Based Natural Language Processing of Social Media Data in the Assessment of Health Information Sought During Pregnancy
Authors: Lee Joo Yun
Published: December 2021

This study analyzed collected social media data from South Korea containing keywords related to “pregnancy” using ontology-based natural language processing. Of the 504,725 documents, those containing concepts related to “maternal emotion” were the most frequent, followed by “family support”. Social media were used as a means of exchanging information and expressing emotions.
Identifying How to Support Nurse Educators Nationally to Teach Nursing Informatics
Authors: Honey Michelle , Collins Emma , Britnell Sally
Published: December 2021

Preparing nurses for practice and ensuring nursing informatics is included in their curricula is a challenge for many nurse educators. This study asked nurse educators from around New Zealand (n=40) what they perceived as the concerns, barriers and facilitators to implementing nursing informatics within their curricula. Among the findings a key issue is the constantly evolving nature of information and communication technology in healthcare and nursing which results in the ongoing need for professional development to keep up-to-date. Outcomes from this study are recommendations which will inform our next steps in this project to support nurse educators provide the best education possible for new nurses.
Interprofessional Informatics Education: A Digital Health Game
Authors: Currie Leanne M , Wood Victoria , Anthony Joseph , Cheng John
Published: December 2021

The purpose of this project was to develop and implement an interprofessional informatics curriculum. We developed a digital health serious game at the centre of this curriculum where the focus was a team-based approach to learning technologies used in the healthcare setting. The overall satisfaction scores were moderately high after the game. Serious games can be engaging for health sciences students.
A Bibliometric Analysis of Alert Override in Clinical Decision Support
Authors: Liu Siru , Fang Jinbo , Shi Qingke , Liu Jialin
Published: December 2021

The aim of this study was to understand the status and trend in alert override research over the past two decades (1999–2018). We used the Web of Science core collection (WoSCC) database to extract all papers of alert override in clinical decision support from 1999 to 2018. A total of 150 papers were identified, most (86.67%) being articles. This study presented the key bibliometric indicators such as annual publications, top 5 authors, institutions, countries, and co-occurrence of terms from the titles and abstracts. VOSviewer was used to visualize keywords knowledge maps. The results show that alert override research has a wide variety of research themes and a multidisciplinary character. This study provides a broad view of the current status and trends in alert override research. It may help researchers, clinicians and policymakers better understand alert override research field change and direction in the future.
Perceptions About Nursing Practice Based on the Internet of Things: A Survey of Nursing Managers
Authors: Seto Ryoma , Hosaka Ryosuke , Ishida Kai , Shibasaki Atsushi , Nakamoto Masae , Miyakoshi Hiroyuki
Published: December 2021

The purpose of this study was to investigate the perceptions of nursing managers about adopting nursing practices based on the Internet of Things and to examine related ethical issues. Questionnaires were sent to 538 nursing managers in Japan, with 131 responses. Of these, 87% and 33% agreed that a system using radio frequency identifiers would be useful for locating patients and nurses, respectively, 58%–81% recognized the value for patient safety of various camera systems for nursing observation, such as cameras linked to biometric alarms, 73% agreed the usefulness of automatically prioritizing alarms, but only around 39% were in favor of using facial recognition to help nursing observation. Many nursing managers expressed concerns about privacy. Data storage for at least 6 months was supported by 53% for location data and 41% for ceiling camera videos. Thus, nursing practice based on the Internet of Things is widely accepted in Japan.
Challenges of Digital Commons: A Qualitative Study of an Automated Dispensing Cabinet in a Paediatric Intensive Care Unit
Authors: Lichtner Valentina , Prgomet Mirela , Gates Peter , Franklin Bryony Dean , Westbrook Johanna I
Published: December 2021

Missed medication doses can affect patient safety in hospitals. The use of automated dispensing cabinets (ADC) in clinical areas may reduce the occurrence of medications being unavailable at the time of need by alerting pharmacy to replenish stock. However, workarounds in ADC use can affect this capability. We studied nurses’ use of an ADC in a paediatric intensive care unit with  54 hours of observation, semi-structure interviews (19 nurses; 4 pharmacy/management staff) and review of reported incidents. We found running out of medication a recurrent problem despite the ADC. Contributing factors affecting data entry in the ADC, and therefore replenishment alerts to pharmacy, included: the organisation of medication activities in the ward, nurses’ information needs, patients’ medication needs, and ADC design. Running out of medications was a ‘tragedy of the commons’. Effective solutions may require going beyond user training and directives for accurate data entry, to work process redesign.
Data Entry Form Designing Tools and Software Usability in DHIS2
Authors: Byson Lawrence Fatsani
Published: December 2021

The advent of configurable software has shifted the implementation of software solutions from total reliance on software developers to towards increased participation of end-users. End-users are now able to create software solutions without the need for writing code but through configuration and customisation. Despite the increasing use of configurable software challenges on designing the software platform architecture, process of testing and usability exists in configurable software. The research aimed at evaluating how available interface elements influence usability in DHIS2. Empirical data was collected by studying the design of custom data collection forms for routine health data collection with two groups of users. 80% and 90% were recorded as completion rates of the designed task and overall efficiency of 86.23% and 89.94% was achieved between the two groups. Lack of relevant editing features, increased distance between related objects, lack of conformity to Keep It Simple, Stupid (KISS) and minimalistic design principle were found to be the major challenges affecting the usability.
Designing Depression Screening Chatbots
Authors: Giunti G , Isomursu M , Gabarron E , Solad Y
Published: December 2021

Advances in voice recognition, natural language processing, and artificial intelligence have led to the increasing availability and use of conversational agents (chatbots) in different settings. Chatbots are systems that mimic human dialogue interaction through text or voice. This paper describes a series of design considerations for integrating chatbots interfaces with health services. The present paper is part of ongoing work that explores the overall implementation of chatbots in the healthcare context. The findings have been created using a research through design process, combining (1) literature survey of existing body of knowledge on designing chatbots, (2) analysis on state-of-the-practice in using chatbots as service interfaces, and (3) generative process of designing a chatbot interface for depression screening. In this paper we describe considerations that would be useful for the design of a chatbot for a healthcare context.
Perceptions of Personal Health Records in Rural Primary Health Clinics in Canada – Patient Perspectives
Authors: Currie Leanne M , Rush Kathy , Burton Lindsay , Mattei Mona , Görges Matthias
Published: December 2021

Personal health records are increasingly being deployed in healthcare settings. In this study we explored patients’ perceptions of personal health records in a rural community in Canada where a primary health network is being deployed. A focus group was held and data were thematically analysed. All patients used technology on a regular basis. Themes included communication and information sharing, issues with access to prior health records, data content and data control and features and functions for continuity of care. Participants expressed desire to be owners of their own record, but described instances where they might be too ill to do so. Participants were hopeful that the functions of a personal health record might help to overcome frustrations with current fragmented information and open to using technologies as part of their care process. Personal health records are promising technologies to overcome fragmented care in rural communities.
Evaluation of an Automated Dispensing Cabinet in Paediatric Intensive Care – Focus on Controlled Medications
Authors: Lichtner Valentina , Prgomet Mirela , Gates Peter , Franklin Bryony Dean , Westbrook Johanna I
Published: December 2021

Evidence is limited of automated dispensing cabinets (ADCs) impact on effectiveness and efficiency of controlled drugs’ (CDs) governance processes. We carried out a mixed-methods study of an ADC in an intensive care unit. We found ADC improved effectiveness and efficiency of governance of CDs through secure storage, alerts and automated recording of transactions. Limitations were associated with ADC design and ‘fit’ between ADC and some types of CDs.
Will Artificial Intelligence Replace Nurses? A Debate
Authors: Peltonen Laura-Maria , Pruinelli Lisiane , Lewis Adrienne , Block Lorraine , Topaz Maxim , von Gerich Hanna , Ronquillo Charlene
Published: December 2021

Technological development has enabled Artificial Intelligence (AI) to better support health care delivery and nursing. The need for nurses to be involved and steer the development and implementation of AI in health care is recognized. A 60-minute scientific debate is organized to explore if AI will replace nursing.
Physical Telerehabilitation Improves Quality of Life in Patients with Multiple Sclerosis
Authors: Jeong In cheol , Karpatkin Herbert , Finkelstein Joseph
Published: December 2021

The purpose of this study was to investigate the effect of physical telerehabilitation on the quality of life (QOL) in patients with multiple sclerosis (PwMS) in a randomized controlled trial. PwMS in both groups received home-based individualized exercise plan based on their physical therapy exam. PwMS in the intervention group were guided by a telerehabilitation system in following their exercise program on a daily basis whereas PwMS in the control group received periodic newsletters. Disease-specific QOL was assessed by MSQOL-54 survey at the baseline and the end of 3-month rehabilitation program. Among the MSQOL sub-scales, the mean sub-score values for pain and cognitive function in control and intervention groups were significantly different as demonstrated by one-way ANOVA (pain: F = 4.301, p = 0.044, cognitive function: F = 5.053, p = 0.030). Our results demonstrated positive effects of physical telerehabilitation on MS symptoms and QOL. Development of further approaches promoting continuous participation in telerehabilitation in PwMS is warranted.
Facilitators and Barriers to the Adoption of an Electronic Medical Record System by Intensive Care Nurses
Authors: Osajiuba Somtochukwu Amaka , Jedwab Rebecca , Calvo Rafael , Dobroff Naomi , Glozier Nicholas , Hutchinson Alison , Leiter Michael , Nankervis Katrina , Rawson Helen , Redley Bernice , Manias Elizabeth
Published: December 2021

Introducing new technology, such as an electronic medical record (EMR) into an Intensive Care Unit (ICU), can contribute to nurses’ stress and negative consequences for patient safety. The aim of this study was to explore ICU nurses’ perceptions of factors expected to influence their adoption of an EMR in their workplace. The objectives were to: 1) measure psychological factors expected to influence ICU nurses’ adoption of EMR, and 2) explore perceptions of facilitators and barriers to the implementation of an EMR in their workplace. Using an explanatory sequential mixed method approach, data were collected using surveys and focus groups. ICU nurses reported high scores for motivation, work engagement and wellbeing. Focus group analyses revealed two themes: Hope the EMR will bring a new world and Fear of unintended consequences. Recommendations relate to strategies for education and training, environmental restructuring and enablement. Overall, ICU nurses were optimistic about EMR implementation.
You Want Me to Use This EMR?
Authors: Wickramasinghe Nilmini , Almond Helen , Androgoli Amir Eslami , Schaffer Jonathan
Published: December 2021

Globally, implementation of electronic medical records (EMRs) has accelerated. Australia is starting on this necessary but arduous path. Anecdotes suggest many nurses enquire “You Want Me to Use This EMR? Opinions on the use and usefulness of EMRs are not positive. This research proffers the use of a rich theoretical lens, taken from the information system’s domain, to understand the root concerns and create solutions; providing insight into nursing acceptance and adoption of the EMR.
The perception threshold of the vestibular Coriolis illusion
Authors: Houben Mark M.J. , Meskers Arjan J.H. , Bos Jelte E. , Groen Eric L.
Published: December 2021

BACKGROUND: The vestibular Coriolis illusion is a disorienting sensation that results from a transient head rotation about one axis during sustained body rotation about another axis. Although often used in spatial disorientation training for pilots and laboratory studies on motion sickness, little is known about the minimum required rotation rate to produce the illusion. OBJECTIVE: This study determined the perception threshold associated with the Coriolis illusion. METHODS: Nineteen participants performed a standardized pitching head movement during continuous whole-body yaw rotation at rates varying between 5 to 50 deg/s. The participants reported their motion sensation in relation to three hypothesized perception thresholds: 1) a sense of undefined self-motion, 2) a sense of rotation, and 3) a sense of rotation and its direction (i.e., the factual Coriolis illusion). The corresponding thresholds were estimated from curves fitted by a generalized linear model. RESULTS: On average threshold 1 was significantly lower (8 deg/s) than thresholds 2 and 3. The latter thresholds did not differ from each other and their pooled value was 10 deg/s. CONCLUSIONS: The Coriolis illusion is perceived at yaw rates exceeding 10 deg/s using a pitching head movement with 40 deg amplitude and 55 deg/s peak velocity. Model analysis shows that this corresponds to an internal rotation vector of 6 deg/s. With this vector the Coriolis perception threshold can be predicted for any other head movement.
Augmented reality for virtual training in the construction industry
Authors: Placencio-Hidalgo Dario , Álvarez-Marín Alejandro , Castillo-Vergara Mauricio , Sukno Renato
Published: December 2021

BACKGROUND: Technology has evolved in surprising ways, and augmented reality (AR) has positioned itself as one of the technologies with outstanding value. Its importance in education is still being debated, but its incorporation in business training has been left out. OBJECTIVE: This study aims to determine variables that explain the intention to use this technology in construction training, focused on preventing injuries and disabilities. METHODS: This study was carried out using the Technology Acceptance Model (TAM) through the structural equation method. The variables: perceived ease of use, perceived usefulness, attitude toward using, and behavioral intention to use were incorporated. An AR app was developed that addresses the teaching of safety elements on scaffolding, and we collected data from Chilean construction companies. RESULTS: The results show that perceived usefulness and perceived ease of use explain the attitude towards using augmented reality, while perceived usefulness and attitude towards using explain behavioral intention to use. CONCLUSIONS: These findings enrich AR’s literature in the construction industry and have high business managers’ implications. It may allow them to implement this technology more likely to succeed in their virtual business training to prevent injury-related disability.
Career adaptability as protagonist on contemporary rural migrant workers’ turnover intention: The mediating effect of organization embeddedness and organizational identification
Authors: Meirun Tang , Bano Sobia , Jafri Syed Khurram Ali , Arshad Muhammad Zulqarnain , Javaid Muhammad Umair
Published: December 2021

BACKGROUND: Contemporary migrant workers from rural areas demonstrate high turnover behaviors in China and pose substantial threats to China’s economic growth. OBJECTIVE: This study aimed to explore the causes of this short-term employment from the perspective of individual dispositions in terms of career adaptability. This study investigated organization embeddedness and organizational identification as underpinning mechanisms linking career adaptability to turnover intention. The hypotheses explanations were provided according to the Conservation of Resources theory. METHODS: Survey data were collected from 379 migrant workers from rural areas in the manufacturing sectors of China, and the structural equation modeling technique was used to find the range of outcomes. RESULTS: The empirical results demonstrate that career adaptability does not meaningfully predict turnover intention but is positively and significantly related to organization embeddedness and organizational identification. Organization embeddedness and organizational identification both negatively and significantly predicted turnover intention and also played as a conciliator in the association between career adaptability and turnover intention. CONCLUSION: Our results suggest management and human resource specialists can directly influence the turnover intention of contemporary rural migrant workers via paying attention to these two critical factors, namely, organization embeddedness and organizational identification.
Association between Whole-Body Vibration exposure and musculoskeletal disorders among dumper operators: A case-control study in Indian iron ore mines
Authors: Upadhyay Rahul , Bhattacherjee Ashis , Patra Aditya Kumar , Chau Nearkasen
Published: December 2021

BACKGROUND: Dumper operators in mines worldwide are subjected to Musculoskeletal Disorders (MSDs) due to whole-body vibration exposure. This study evaluated the working-life-Whole-Body Vibration (WBV)-exposure and their association with various MSDs among dumper operators in mines which remains poorly addressed. METHODS: This case-control study in Indian iron ore mines was conducted to compare randomly selected 65 dumper operators and 65 office workers. Data were collected through face-to-face interviews using the Nordic Musculoskeletal Questionnaire (NMQ) and were analysed using logistic regression models. RESULTS: The study revealed that majority of the dumper operators were exposed to WBV exceeding the ISO-2631 limits. Compared with controls, the dumper operators had a much higher risk of upper back pain (age-overweight-adjusted odds ratio ORao = 5.37, 95% CI = 1.78–16.20), lower back pain (ORao = 2.72, 95% CI = 1.25–5.94), knee and leg pain (ORao = 3.68, 95% CI = 1.22–11.11), and having 2+ MSDs (ORao = 5.05, 95% CI = 1.88–13.51, vs. no MSDs). Working-life-WBV-exposure was higher among dumper operators having upper back pain (mean (SD) = 7.1 (1.91) vs. 5.7 (1.91), p < 0.01) and lower back pain (mean (SD) = 6.63 (2.10) vs. 5.55 (1.71), p < 0.01) compared to those without these MSDs. Older age was associated with higher risk of MSD pains. CONCLUSION: Dumper operators have excess MSDs due to high working-life-WBV-exposure. Their MSDs and working-life-WBV-exposure should be regularly evaluated and reduced.