bluuebunny/crossref_metadata_2025 huggingface dataset:
Movimentando pensamentos e criações no experienciar docências
Authors: Estevinho Lucia de Fatima Dinelli , Amorim Antonio Carlos Rodrigues de
Published: August 2022

O texto apresenta uma pesquisa de pós-doutorado envolvida teoricamente com a Filosofia da Diferença com o intuito de investigar os processos criativos no experienciar docências em dois cursos de formação de professores. Os efeitos expressivos são uma cartografia entre as disciplinas: Escola e Cultura (Unicamp) e Biologia e Cultura (UFU). A cartografia como metodologia de pesquisa proporcionou o pensar como rizoma, intervalar entre, em conexão e não em hierarquias. O entre nunca é o decalque, é sempre a criação, a abertura. Entendemos que, no exercício da docência, colocar o pensamento em movimento é um desafio, um exercício em que, para além da palavra escrita, as imagens têm um papel fundamental. Também nos ancoramos na metodologia da Pesquisa-criação, modo de fazer pesquisa que é corporalmente experimental. Os achados mostraram que o ato criativo aconteceu por caminhos que envolveram a proposição-provocação a partir de materiais advindos de distintas artes, que proporcionaram aprendizagens diferenciadas.
Divergences Between Resting State Networks and Meta-Analytic Maps Of Task-Evoked Brain Activity
Authors: Palmucci Matías , Tagliazucchi Enzo
Published: August 2022

Background:

Spontaneous human neural activity is organized into resting state networks, complex patterns of synchronized activity that account for the major part of brain metabolism. The correspondence between these patterns and those elicited by the performance of cognitive tasks would suggest that spontaneous brain activity originates from the stream of ongoing cognitive processing.

Objective:

To investigate a large number of meta-analytic activation maps obtained from Neurosynth (www.neurosynth.org), establishing the extent of task-rest similarity in large-scale human brain activity.

Methods:

We applied a hierarchical module detection algorithm to the Neurosynth activation map similarity network, and then compared the average activation maps for each module with a set of resting state networks by means of spatial correlations.

Results:

We found that the correspondence between resting state networks and task-evoked activity tended to hold only for the largest spatial scales. We also established that this correspondence could be biased by the inclusion of maps related to neuroanatomical terms in the database (e.g. “parietal”, “occipital”, “cingulate”, etc.).

Conclusion:

Our results establish divergences between brain activity patterns related to spontaneous cognition and the spatial configuration of RSN, suggesting that anatomically-constrained homeostatic processes could play an important role in the inception and shaping of human resting state activity fluctuations.
Coordination, Degrading Agent, Catalyst Property and Spectroscopy of Organocalcium Compounds
Authors: Hussein Mekni Nejib Ben , Raouafi Noureddine
Published: August 2022

In addition to the coordination of the calcium to the n electron pairs, some
examples of coordination to the π electron pairs are observed resulting from calcium
interactions with highly conjugated systems. The complex structures vary from
ordinary to close to the unexpected organocalcium inverse sandwich.
The organocalcium Ca-C bond containing compounds are highly reactive. They
degrade and act as degrading agents on the solvent. The study of the effect of five
factors: temperature, concentration, organic group, counter ion and coordinated donor
solvent, shows an intramolecular degradation mechanism. Organocalcium complexes
are more stable in the THP than in the THF ethereal media.
Calcium and organocalcium Ca-Cσ-bond containing derivatives are described as
efficient pre-catalysts for catalytic conversions of alkenes by polymerization,
hydroamination, hydrosilylation, hydrogenation, and hydrophosphination. The
activation process is suggested as an electrostatic interaction between the alkene and
Lewis acidic calcium metallic species, leading to both vertical and horizontal
polarization of the π bond electron density, resulting in an incentive for nucleophilic
attack. Some researchers illustrate that the organocalcium derivatives may be described
as “Trojan horses”
X-ray constitutes the most efficient technique to characterize the organocalcium
structures for crystalized compounds, affording interesting information about angle
values and bond lengths.
The 43Ca, 13C and 1H NMR spectroscopy constitutes an alternative, secondary and
complementary tool for characterizing both soluble, and even insoluble compounds,
monitoring the reaction progress and making specific experimental manipulations.
The coupling constants 1
JCa-C, and 2
JCa-C-H are not mentioned and there is no mass
spectrometry nor IR spectroscopy studies
Fabrication Approaches for Piezoelectric Materials
Authors: Padha B.
Published: August 2022

After decades of study and development, piezoelectric materials have been used in various applications. Piezoelectric material is highly acknowledged as one of the primary functional materials in precision and acoustic engineering fields. Researchers are being pushed to explore novel materials and device combinations for new applications due to increasing demand, notably from the electrical, energy, and biomedical sectors. On the other hand, engineers are always working to enhance existing technology. Since the field has such a broad reach, it is vital to present an overview of the many areas of piezoelectric materials. This chapter focuses on the fabrication of different piezoelectric materials, applications, and challenges.
Piezoelectric Composites and their Applications
Authors: Ramesh M.
Published: August 2022

The advancement of electronics is inextricably linked to breakthroughs in materials science. Due to their diverse mechanical, physical, and chemical properties, piezoelectric composites have sparked a lot of scientific interest in recent years. Because of their great tailorability, piezoelectric composites made of a piezoelectric ceramic and polymers are intriguing materials. Furthermore, mechanical strength, cheap cost, bio-compatibility, and ease of fabrication make organic materials superior to inorganic materials and make them as better alternative materials in modern manufacturing technologies. This chapter provides a detailed review of current research and advancements on piezoelectric composites and their creative applications.
Quality of Crispy Seasoned Flour with Tumang Sago Substitution (Mexroxylon sago Rottb) as a Substitute for Wheat Flour and its Application in Broilers
Authors: Talebe Yusnaini B. , Lestari Sri , Susilo Agus
Published: August 2022

The utilization of local resources such as tumang sago flour is needed to be conducted to increase diversification of local food with superior quality. This study aims to determine the physicochemical and functional quality of crispy seasoned flour using tumang sago substitution. In addition, the sensory quality of the chicken crispy is also checked using those spiced flour. Tumang sago flour was obtained by drying the sago under the sun until it was dry and then sifted using a 100 mesh sieve. This study used a total of 5 treatments with 5 times. Four treatments were applied namely control (without substitution of sago tumang flour); 10%; 20%; 30% and 40% of sago tumang flour. Observations were made on the crispy seasoning flour, among others: Water Content (SNI-01-02891-1992); Crude Fiber Content (Sudarmadji, et al. (1997); Water Holding Capacity (Subagio, 2006); Oil Holding Capacity (Subagio, 2006); Color (L, a and b) (Digital Colorimeter), while the sensory test chicken crispy (color, aroma, crunch, taste and acceptability). Data on physicochemical quality and color using a digital colorimeter were analyzed using a completely randomized design with a unidirectional pattern, while the quality of crispy chicken accessories was analyzed by Kruskall Wallis' Non-Parametric analysis. If there is a real effect, then Duncan's test is continued. The results showed that the quality of seasoning flour is moisture content (12.518-15.208%), crude fiber content (0.396-2.138%), WHC (64.606-89.855%), OHC (96,373-115,498%), L (87.677-93.330), a (2,153-2,697), b (5,630 – 7,743), while the sensory quality of crispy chicken is color (1,57-4,29), aroma (2,00-4,14), crispy (3,57-3,86), taste (2,86-3,86) and receptivity (2,57-4.00). The addition of Tumang sago flour in different percentages had a significant effect (P<0.05) on water content, crude fiber content, WHC, OHC, color (digital colorimeter), color sensory parameters, scent and acceptance of crispy chicken. In conclusion, the best treatment in this study was seasoned flour with the addition of 10% sago flour.
The pillars of knowledge management and its role in enhancing the dimensions of the competitive spectrum : Exploratory study in pharmaceutical companies in the city of Sulaymaniyah (pioneer company and Rasan company) as a model
Authors: Muhammad Khzr Al-Sabawy Younis , Abdulasattar Mahmood Naji , Obed Hama Ameen Yousif
Published: August 2022

The research aims to diagnose the contribution of the pillars of knowledge management with its main dimensions (cognitive leadership, organizational structure, learning, technology, knowledge sharing), in enhancing the dimensions of the competitive spectrum represented by (cost leadership strategy, differentiation strategy, and response strategy), to express the ability of organizations In reaching a comprehensive and focused vision that contributes to extracting and deducing the main contents of the dimensions of the competitive spectrum through which it is possible to improve performance and achieve excellence through the contents and pillars of knowledge. In order to achieve the objectives of the research, the research was conducted in the pharmaceutical companies sector and within selected companies by designing a questionnaire that was prepared in accordance with the goal of the research. , division manager, unit manager), and by (46) forms, while the number of the form retrieved and valid for analysis reached (43) and a recovery rate of (93%). The data obtained from the investigated field was analyzed using the correlation coefficient and the linear regression equation, which helped to reach a set of results, in the light of which a number of conclusions were crystallized, perhaps the most important of which are: The competitive spectrum, and its different dimensions, especially the response dimension. In light of the conclusions, the research presented its recommendations, and perhaps the most important of them are: the recommendation that urges the surveyed organizations and organizations in the surveyed sector to pay attention to the contents of knowledge in general and pay more attention to the availability of knowledge pillars in particular to achieve a kind of compatibility with the nature of the work of the surveyed organizations and competitive challenges that it can face in order to achieve the desired harmony between the dimensions of the appropriate competitive spectrum with the nature of its business.
The relationship between leadership duality and corporate governance characteristics
Authors: Ali Abdullah Hatem
Published: August 2022

The study aimed to identify the nature of the relationship between the characteristics of leadership duality and corporate governance. SMART-PLS3). The study was applied in the field of private banks operating in Iraq, the city of Baghdad in particular, and six banks were selected, namely (International Development Bank, Babel Bank, Gulf Commercial Bank, Trans-Iraq Bank, Trade Bank of Iraq, Union Bank of Iraq), while the community of The study consisted of (department director, assistant director, division director, unit director) and the number of them was (160), from whom an intentional sample was drawn according to the equation (Green, 1990) to be represented by (114) individuals, the questionnaire was distributed to them and (105) questionnaires were retrieved (97). ) of which were valid for analysis. The study concluded that the CEO position as Chairman of the Board of Directors will increase the characteristics of corporate governance in terms of disclosure, transparency, accountability, effectiveness and justice. (Dual leadership) will be reflected on corporate governance, specifically its characteristics.
Monetary Reform and Change the Foreign Exchange Rate Against the Iraqi Dinar (Analytical Study of Economic Shocks, Trade and Foreign Reserves)
Authors: Jalil Alghaliby Abdulhussein
Published: August 2022

Taking a quick look at Iraqi trade, we find that it was characterized by the concentration of exports on oil, and the high percentage of its contribution to the gross domestic product. Iraqi trade with Turkey and Iran were studied as a sample of Iraq's trading partners, after 2003. The value of imports from Turkey increased and the Iraqi market's ranking in the scale of absorbing Turkish exports moved from rank (9) in 2004 to rank (2) in 2013. This was accompanied by the depreciation of the Turkish Lira. While trade with Iran in 2018 accounted for (14.5%) of the total Iraqi imports and amounted to (6.1%) of the total Iranian exports, the value of the Iranian Riyal witnessed a significant decline, and the depreciation of the Turkish Lira and the Iranian Riyal coincided with the increase in the value of the Dinar, which supported the competitiveness of their goods In the Iraqi market, at the expense of the local product, the commercial conflict between them became most intense in the Iraqi arena for control of this market. As for the position of the accumulation of foreign reserves and the foreign exchange rate against the Dinar, the ratios of accumulation of reserves were in a decline during the studied period that was divided into three periods, The decision to change the exchange rate came at the end of 2020, and it is a correct decision, albeit late in time and large in proportion. Accordingly, it is necessary to maintain the new exchange rate and not to retreat from it, as it will entail many problems.
Multiple-Inputs Convolutional Neural Network for COVID-19 Classification and Critical Region Screening From Chest X-ray Radiographs: Model Development and Performance Evaluation
Authors: Li Zhongqiang , Li Zheng , Yao Luke , Chen Qing , Zhang Jian , Li Xin , Feng Ji-Ming , Li Yanping , Xu Jian
Published: August 2022

Background

The COVID-19 pandemic is becoming one of the largest, unprecedented health crises, and chest X-ray radiography (CXR) plays a vital role in diagnosing COVID-19. However, extracting and finding useful image features from CXRs demand a heavy workload for radiologists.

Objective

The aim of this study was to design a novel multiple-inputs (MI) convolutional neural network (CNN) for the classification of COVID-19 and extraction of critical regions from CXRs. We also investigated the effect of the number of inputs on the performance of our new MI-CNN model.

Methods

A total of 6205 CXR images (including 3021 COVID-19 CXRs and 3184 normal CXRs) were used to test our MI-CNN models. CXRs could be evenly segmented into different numbers (2, 4, and 16) of individual regions. Each region could individually serve as one of the MI-CNN inputs. The CNN features of these MI-CNN inputs would then be fused for COVID-19 classification. More importantly, the contributions of each CXR region could be evaluated through assessing the number of images that were accurately classified by their corresponding regions in the testing data sets.

Results

In both the whole-image and left- and right-lung region of interest (LR-ROI) data sets, MI-CNNs demonstrated good efficiency for COVID-19 classification. In particular, MI-CNNs with more inputs (2-, 4-, and 16-input MI-CNNs) had better efficiency in recognizing COVID-19 CXRs than the 1-input CNN. Compared to the whole-image data sets, the efficiency of LR-ROI data sets showed approximately 4% lower accuracy, sensitivity, specificity, and precision (over 91%). In considering the contributions of each region, one of the possible reasons for this reduced performance was that nonlung regions (eg, region 16) provided false-positive contributions to COVID-19 classification. The MI-CNN with the LR-ROI data set could provide a more accurate evaluation of the contribution of each region and COVID-19 classification. Additionally, the right-lung regions had higher contributions to the classification of COVID-19 CXRs, whereas the left-lung regions had higher contributions to identifying normal CXRs.

Conclusions

Overall, MI-CNNs could achieve higher accuracy with an increasing number of inputs (eg, 16-input MI-CNN). This approach could assist radiologists in identifying COVID-19 CXRs and in screening the critical regions related to COVID-19 classifications.
Preliminary Investigation of Shift, a Novel Smartphone App to Support Junior Doctors’ Mental Health and Well-being: Examination of Symptom Progression, Usability, and Acceptability After 1 Month of Use
Authors: Sanatkar Samineh , Counson Isabelle , Mackinnon Andrew , Bartholomew Alexandra , Glozier Nick , Harvey Samuel
Published: August 2022

Background

Shift is a novel smartphone app for providing a digital-first mental health resource to junior doctors. It contains psychoeducational material, cognitive behavioral modules, guided mediations, information on common work stressors, and a section on help-seeking options for psychological problems through workplace and private avenues.

Objective

This study aimed to conduct a preliminary investigation of the use and potential effectiveness of Shift on depressive and anxiety symptoms (primary outcomes) and work and social functioning, COVID-19 safety concerns, and help seeking (secondary outcomes). This study also sought feedback on whether Shift was seen as an acceptable tool.

Methods

Junior doctors in New South Wales, Australia, were approached through promotional activities from the Ministry of Health, specialist medical colleges, and social media advertisements between June and August 2020. Consenting participants provided web-based baseline data, used the Shift app for 30 days, and were asked to complete a poststudy web-based questionnaire. Outcomes were analyzed under the intention-to-treat principle.

Results

A total of 222 (n=156 female, 70.3%; mean age 29.2, SD 4.61 years) junior doctors provided full baseline data. Of these, 89.2% (198/222) downloaded the app, logged into the app approximately 6 times (mean 5.68, SD 7.51), completed 4 in-app activities (mean 3.77, SD 4.36), and spent a total of 1 hour on in-app activities (mean 52:23, SD 6:00:18) over 30 days. Postintervention and app use data were provided by 24.3% (54/222) of participants. Depressive and anxiety symptoms significantly decreased between the pre- and postassessment points as expected; however, physicians’ COVID-19 safety concerns significantly increased. Work and social functioning, COVID-19 concerns for family and friends, and help seeking did not change significantly. There was no significant relationship between symptom changes and app use (number of log-ins, days between first and last log-in, and total activity time). Most poststudy completers (31/54, 57%) rated Shift highly or very highly.

Conclusions

Despite high levels of nonresponse to the poststudy assessment and increases in COVID-19 safety concerns, junior doctors who used the app reported some improvements in depression and anxiety, which warrant further exploration in a robust manner.
Using Wake-Up Tasks for Morning Behavior Change: Development and Usability Study
Authors: Oh Kyue Taek , Ko Jisu , Shin Jaemyung , Ko Minsam
Published: August 2022

Background

Early morning behaviors between waking up and beginning daily work can develop into productive habits. However, sleep inertia limits the level of human ability immediately after waking, lowering a person’s motivation and available time for productive morning behavior.

Objective

This study explores a design for morning behavior change using a wake-up task, a simple assignment the user needs to finish before alarm dismissal. Specifically, we set two research objectives: (1) exploring key factors that relate to morning behavior performance, including the use of wake-up tasks in an alarm app and (2) understanding the general practice of affecting morning behavior change by implementing wake-up tasks.

Methods

We designed and implemented an apparatus that provides wake-up task alarms and facilities for squat exercises. We recruited 36 participants to perform squat exercises in the early morning using the wake-up tasks for 2 weeks. First, we conducted a generalized estimating equation (GEE) analysis for the first research objective. Next, we conducted a thematic analysis of the postsurvey answers to identify key themes about morning behavior change with the wake-up tasks for the second objective.

Results

The use of wake-up tasks was significantly associated with both the completion of the target behavior (math task: P=.005; picture task: P<.001) and the elapsed time (picture task: P=.08); the time to alarm dismissal was significantly related to the elapsed time to completion (P<.001). Moreover, the theory of planned behavior (TPB) variables, common factors for behavior change, were significant, but their magnitudes and directions differed slightly from the other domains. Furthermore, the survey results reveal how the participants used the wake-up tasks and why they were effective for morning behavior performance.

Conclusions

The results reveal the effectiveness of wake-up tasks in accomplishing the target morning behavior and address key factors for morning behavior change, such as (1) waking up on time, (2) escaping from sleep inertia, and (3) quickly starting the desired target behavior.
Return-to-Work Following Occupational Rehabilitation for Long COVID: Descriptive Cohort Study
Authors: Brehon Katelyn , Niemeläinen Riikka , Hall Mark , Bostick Geoff P , Brown Cary A , Wieler Marguerite , Gross Douglas P
Published: August 2022

Background

Emerging evidence suggests that worldwide, between 30% and 50% of those who are infected with COVID-19 experience long COVID (LC) symptoms. These symptoms create challenges with return-to-work (RTW) in a high proportion of individuals with LC. To tailor rehabilitation programs to LC sequelae and help improve RTW outcomes, more research on LC rehabilitation program outcomes is needed.

Objective

This study describes the characteristics and outcomes of workers who participated in an LC occupational rehabilitation program.

Methods

A cohort study was conducted. Descriptive variables included demographic and occupational factors as well as patient-reported outcome measures (PROMs, ie, the Fatigue Severity Scale [FSS], the Post-COVID Functional Scale [PCFS], the 36-item Short Form Health Survey [SF-36], the Pain Disability Index [PDI], the pain Visual Analogue Scale [VAS], the 9-item Patient Health Questionnaire [PHQ-9], the 7-item Generalized Anxiety Disorder Questionnaire [GAD-7], and the Diagnostic and Statistical Manual for Mental Disorders Fifth Edition [DSM-5] posttraumatic stress disorder [PTSD] checklist [PCL-5]). The main outcome variable was the RTW status at discharge. Descriptive statistics were calculated. Logistic regression examined predictors of RTW.

Results

The sample consisted of 81 workers. Most workers were female (n=52, 64%) and from health-related occupations (n=43, 53%). Only 43 (53%) individuals returned to work at program discharge, with 40 (93%) of these returning to modified duties. Although there were statistically significant improvements on the pain VAS (mean 11.1, SD 25.6, t31=2.5, P=.02), the PDI (mean 9.4, SD 12.5, t32=4.3, P<.001), the FSS (mean 3.9, SD 8.7, t38=2.8, P=.01), the SF-36 PCS (mean 4.8, SD 8.7, t38=–3.5, P=.001), the PHQ-9 (mean 3.7, SD 4.0, t31=5.2, P<.001), and the GAD-7 (mean 1.8, SD 4.4, t22=1.8, P=.03), there were no significant improvements in the PCFS, the overall mental component score (MCS) of the SF-36, or on the PCL-5. The availability of modified duties (odds ratio [OR] 3.38, 95% CI 1.26-9.10) and shorter time between infection and admission for rehabilitation (OR 0.99, 95% CI 0.99-1.00) predicted RTW even when controlling for age and gender.

Conclusions

Workers undergoing LC rehabilitation reported significant but modest improvements on a variety of PROMs, but only 43 (53%) returned to work. Outcomes would likely improve with increased availability of modified duties and timelier rehabilitation. Additional research is needed, including larger observational cohorts as well as randomized controlled trials to evaluate the effectiveness of LC rehabilitation.
Digital proficiency and health literacy in middle-aged and older adults through mobile devices (OITO Project): an experimental study (Preprint)
Authors: Quialheiro Anna , Miranda André , Garcia Jr Miguel , Carvalho Adriana Camargo de , Costa Patrício , Correia-Neves Margarida , Santos Nadine Correia
Published: August 2022

BACKGROUND

Digital inclusion and literacy facilitates access to health information and can contribute to self-care behaviours and informed decision-making. However, digital literacy is not an innate skill, rather it requires knowledge acquisition.

OBJECTIVE

The present study aimed to develop, conduct, and measure the impact, on digital and health literacy, of a digital inclusion program (termed “OITO Project”) aimed at community-dwellers aged 55 years old and above.

METHODS

The digital intervention was organized as an in-person, 8-workshop based, guided digital inclusion program, using mobile devices. Sociodemographic, health status, and mobile use information, was collected at baseline, and digital and health literacy measured at baseline (T1), program completion (T2), and 1-month (T3) thereafter, via the Mobile Device Proficiency Questionnaire and the Health Literacy Scale questionnaires, respectively.

RESULTS

The intervention had 81% recruitment rate, 53% adherence, and 94% satisfaction, with a total of 81 participants completing of the workshops. Most study participants were women, with primary schooling (up to 4 years), aged between 65 to 74 years, and retired. Participants had a low baseline score in digital literacy and a medium/high baseline score in health literacy, with a significant improvement in digital literacy at T2 and T3, compared to T1, but without significant differences between T2 and T3, regardless of sex, age, and schooling. A significant improvement in self-reported autonomy was observed at T3 compared with baseline. Regarding health literacy, no significant differences were found at T2 or T3 compared to the baseline.

CONCLUSIONS

The feasibility Indicators were satisfactory, showing that the methodology of the workshops had a substantial rate of recruitment and satisfaction. The study showed significant improvement in digital literacy in 8 workshops, with score maintenance one month after the intervention end.
Prevalence and determinants of completing primary COVID-19 vaccination series among cancer patients in China: a multicentre cross-sectional survey (Preprint)
Authors: Zhang Lei , Yang Jianzhou , Su Rila , Du Xiaoli , Wang Yuxiao , Chen Siyu , Chan Paul Shing-fong , Wang Zixin , Xu Junjie
Published: August 2022

BACKGROUND

Cancer patients have higher risk of contracting COVID-19 and are more vulnerable to severe consequences of COVID-19 infection. COVID-19 vaccination is effective for cancer patients without safety concerns. However, COVID-19 vaccination hesitancy is common among cancer patients.

OBJECTIVE

This study investigated the prevalence of completing primary COVID-19 vaccination series among cancer patients in China. We examined the effects of sociodemographic data, characteristics of cancer and treatment, and factors at individual level (perceptions) and interpersonal level (media influence).

METHODS

A multicentre cross-sectional study was conducted in four Chinese cities (Changzhi, Hohhot, Urumqi, and Shenzhen) in different geographic regions between May and June 2022. Medical staff of the collaborative hospitals invited all cancer inpatients aged 18 years or above without lymphoma or leukaemia to complete a face-to-face survey. A total of 893 provided written informed consent and completed the study. Logistic regression models were fitted.

RESULTS

Among the participants, 58.8% completed the primary COVID-19 vaccination series. Among vaccinated participants, 13.8% reported some side effects. The most common side effect was pain in the injection site (9.3%); no severe side effects were reported. After adjusting for significant background characteristics, perceived higher risk of COVID-19 infection comparing to people without cancers (adjusted odds ratios [AOR]: 0.46, 95%CI: 0.24, 0.88), perceived a high chance of having severe consequences of COVID-19 infection (AOR: 0.68, 95%CI: 0.51, 0.91), and concerns about interactions between COVID-19 vaccination and cancers/cancer treatments (AOR: 0.97, 95%CI: 0.94, 0.99) were associated with lower completion of primary vaccination series. Being suggested by significant others (AOR: 1.32, 95%CI: 1.23, 1.41) and perceived higher self-efficacy to receive COVID-19 vaccination (AOR: 1.48, 95%CI: 1.31, 1.67) were positively associated with the dependent variable.

CONCLUSIONS

Completion rate of primary COVID-19 vaccination series was low among Chinese cancer patients. Given the large population size and their vulnerability, there is an urgent need to increase COVID-19 vaccination coverage in this group. Removing concerns about interactions between COVID-19 vaccination and cancers/cancer treatments, using fear appeal approach, involving significant others, and facilitating patients to make a plan to receive COVID-19 vaccination might be useful strategies.
Passive Sensing in the Prediction of Suicidal Thoughts and Behaviors: Protocol for a Systematic Review. (Preprint)
Authors: Winkler Tanita , Büscher Rebekka , Sander Lasse Bosse , Larsen Mark , Kwon Sam , Torous John , Firth Joseph
Published: August 2022

BACKGROUND

Suicide is a severe public health problem, resulting in a high number of attempts and deaths each year. Early detection of suicidal thoughts and behaviors (STB) is key to prevent attempts. Passive sensing of digital and behavioral markers is discussed to enhance detection and prediction of STB.

OBJECTIVE

The aim of this systematic review is to summarize the existing research on passive sensing of STB and evaluate whether the prediction of STB can be improved using passive sensing compared to prior prediction models.

METHODS

A systematic search will be conducted in the scientific databases MEDLINE, PubMed, Web of Science, PsycInfo and EMBASE. Eligible studies need to investigate any passive sensor data from smartphones or wearables to predict STB. The predictive value of passive sensing will be the primary outcome. Practical implication and feasibility of the studies will be considered as secondary outcomes. Study quality will be assessed using the Prediction model Risk Of Bias Assessment Tool (PROBAST). Extracted data will be described narratively and displayed in tables. If studies are sufficiently homogenous, we will conduct a meta-analysis of the predictive value of passive sensing on STB.

RESULTS

The review process will take place in Summer 2022 with expected results in December 2022.

CONCLUSIONS

Despite intensive research efforts, the ability to predict STB is little better than chance. This systematic review will contribute to our understanding of the potential of passive sensing to improve prediction of STB. Future research will be stimulated as gaps in the current literature will be identified and promising next steps towards clinical implementation will be outlined.
Dashboard With Bump Charts to Visualize the Changes in the Rankings of Leading Causes of Death According to Two Lists: National Population-Based Time-Series Cross-Sectional Study (Preprint)
Authors: Tai Shu-Yu , Chi Ying-Chen , Chien Yu-Wen , Kawachi Ichiro , Lu Tsung-Hsueh
Published: August 2022

BACKGROUND

Health advocates and the media often use the rankings of the leading causes of death (CODs) to draw attention to health issues with relatively high mortality burdens in a population. The National Center for Health Statistics (NCHS) publishes “Deaths: leading causes” annually. The ranking list used by the NCHS and statistical offices in several countries includes broad categories such as cancer, heart disease, and accidents. However, the list used by the World Health Organization (WHO) subdivides broad categories (17 for cancer, 8 for heart disease, and 6 for accidents) and classifies Alzheimer disease and related dementias and hypertensive diseases more comprehensively compared to the NCHS list. Regarding the data visualization of the rankings of leading CODs, the bar chart is the most commonly used graph; nevertheless, bar charts may not effectively reveal the changes in the rankings over time.

OBJECTIVE

The aim of this study is to use a dashboard with bump charts to visualize the changes in the rankings of the leading CODs in the United States by sex and age from 1999 to 2021, according to 2 lists (NCHS vs WHO).

METHODS

Data on the number of deaths in each category from each list for each year were obtained from the Wide-ranging Online Data for Epidemiologic Research system, maintained by the Center for Disease Control and Prevention. Rankings were based on the absolute number of deaths. The dashboard enables users to filter by list (NCHS or WHO) and demographic characteristics (sex and age) and highlight a particular COD.

RESULTS

Several CODs that were only on the WHO list, including brain, breast, colon, hematopoietic, lung, pancreas, prostate, and uterus cancer (all classified as cancer on the NCHS list); unintentional transport injury; poisoning; drowning; and falls (all classified as accidents on the NCHS list), were among the 10 leading CODs in several sex and age subgroups. In contrast, several CODs that appeared among the 10 leading CODs according to the NCHS list, such as pneumonia, kidney disease, cirrhosis, and sepsis, were excluded from the 10 leading CODs if the WHO list was used. The rank of Alzheimer disease and related dementias and hypertensive diseases according to the WHO list was higher than their ranks according to the NCHS list. A marked increase in the ranking of unintentional poisoning among men aged 45-64 years was noted from 2008 to 2021.

CONCLUSIONS

A dashboard with bump charts can be used to improve the visualization of the changes in the rankings of leading CODs according to the WHO and NCHS lists as well as demographic characteristics; the visualization can help users make informed decisions regarding the most appropriate ranking list for their needs.
Facilitators and barriers of Tai Chi practice in community dwelling older adults: a qualitative study (Preprint)
Authors: Du Yan , Roberts Penny , Liu Wei
Published: August 2022

BACKGROUND

Numerous studies have documented the beneficial effects of Tai Chi on a variety of health outcomes, especially in older adults. However, few studies examined how to improve the practice and adherence of this Asian originated exercise in older adults in Western countries.

OBJECTIVE

The study was to identify facilitators and barriers to Tai Chi practice and adherence in community dwelling older adults.

METHODS

This study analyzed the qualitative data collected from 13 participants (mean age=62.0 ± 10.3) at the end of a 15-week randomized controlled trial in a day activity senior center. Semi-structured interviews were conducted, recorded, and transcribed. Data was analyzed using inductive thematic analysis.

RESULTS

Four themes emerged: perceived benefit, threats, facilitators, and barriers. Perceived threats (e.g., aging, side effects of medications) and perceived benefits of Tai Chi (e.g., balance) drove participants start to practice Tai Chi exercise. Barriers to Tai Chi practice and adherence included the instructor’s poor teaching style; the complexity of Tai Chi postures and movements; and existing health conditions (e.g., hip problems). Tai Chi class availability, support from family and peers, and practicing Tai Chi with music may facilitate Tai Chi exercise adherence.

CONCLUSIONS

The findings are important for health professionals, such as nurses to develop and implement effective Tai Chi programs. Considering health conditions, tailoring instruction styles, encouraging social support, and adding music may promote Tai Chi practice and adherence.
Exploring Stakeholder Requirements to enable research and development of AI algorithms in a hospital based generic infrastructure: Research Protocol for a multi-step mixed-methods study (Preprint)
Authors: Weinert Lina , Klass Maximilian , Heinze Oliver
Published: August 2022

BACKGROUND

In recent years, research and developments in advancing Artificial Intelligence (AI) in healthcare and medicine have increased. High expectations surround the use of AI technologies, such as improvements for diagnosis and increases in quality of care while lowering health care costs. The successful development and testing of new AI algorithms requires large amounts of high-quality data. Academic hospitals could provide the data needed for AI development, but legal, controlled, and regulated access for developers and researchers to this data is difficult. Therefore, the German Federal Ministry of Health supports the “pAItient“ (Protected Artificial Intelligence Innovation Environment for Patient Oriented Digital Health Solutions for developing, testing and evidence based evaluation of clinical value) project, aiming to install an AI Innovation Environment at the Heidelberg University Hospital, Germany. The AI Innovation Environment is designed as a proof-of-concept extension of the already existing Medical Data Integration Center. It will establish a process to support every step from development to testing of AI based technologies.

OBJECTIVE

The first part of the pAItient project as presented in this research protocol aims to explore stakeholders’ requirements for developing AI in partnership with an academic hospital and granting AI experts access to anonymized personal health data.

METHODS

We planned a multi-step mixed-methods approach. In a first step, researchers and employees from stakeholder organizations were invited to participate in semi-structured interviews. In the following step, questionnaires were developed based on the participants’ answers and distributed among the stakeholders. In addition, patients and physicians were interviewed as well. No survey questionnaires were developed for this second group of participants.

RESULTS

The results of this study will help in shaping the AI Innovation Environment at our academic hospital according to stakeholder requirements. With this approach, in turn, we aim to create an AI infrastructure that is both effective and deemed acceptable by all parties.

CONCLUSIONS

The study was approved by the Ethics Committee of the Heidelberg University Hospital (S-241/2021). To date, we successfully concluded data collection.
Black Health in Canada: Protocol for a Scoping Review (Preprint)
Authors: Olanlesi-Aliu Adedoyin , Alaazi Dominic , Salami Bukola
Published: August 2022

BACKGROUND

Black Canadians experience poor health care, poor health outcomes, and a greater burden of health inequalities, much of which is rooted in the unequal distribution of social determinants of health. Despite Canada’s emphasis on social inclusion, Canada’s Black population faces substantial social inequities that affect their health and well-being. These disparities may specifically be attributed to racial discrimination, immigration status, precarious housing, underemployment, and increased poverty among Black Canadians.

OBJECTIVE

This paper describes a protocol for a scoping review that aims to understand the range and nature of research conducted on the health of Black Canadians as well as the gaps in this literature.

METHODS

Arksey and O'Malley’s methodological framework guided the conduct of the scoping review. We searched electronic databases (CINAHL, Embase, Global Health, MEDLINE, PsycINFO, Scopus, Sociological Abstracts, and Web of Science) and grey literature sources for peer-reviewed articles and grey reports on the health of Black Canadians. Six reviewers independently screened the abstracts and full text of studies to determine eligibility for inclusion. According to the PRISMA-ScR (Preferred Reporting Items for Systematics Reviews and Meta-Analyses extension for Scoping Reviews) guidelines, the findings will be synthesized quantitatively and qualitatively through thematic analysis.

RESULTS

Title, abstract, and full-text screening concluded in October 2022. Data collection is in progress and is expected to be completed by April 2023. Data analysis and drafting of the manuscript will be done thereafter. Findings from the scoping review are expected to be provided for peer review in 2023.

CONCLUSIONS

This review will collect important data and evidence related to the health (mental, reproductive, and sexual; social determinants of health) of the Black population in Canada. The findings could help identify existing gaps in the health of Black individuals in Canada and inform future research paradigms. The findings will further inform the development of a knowledge hub on Black Canadians’ health.

INTERNATIONAL REGISTERED REPORT

PRR1-10.2196/42212
Pandemic Fatigue: An Analysis of Twitter Users’ Sentiments Against the COVID-19 in Indonesia
Authors: Arifka Dina , Hakim Muhammad Naufal , Adhipta Adib Siddhi , Satya Yogananda Ketut Shri , Salsabila Rania , Ferdiana Ridi
Published: August 2022

Indonesian society is undergoing a shift of behavioral patterns towards the coronavirus (COVID) 19 indicating the symptoms of the pandemic fatigue phenomenon. Pandemic fatigue is defined as a gradual demotivation to adhere to recommended protective behaviors. Pandemic fatigue might reduce the effectiveness of health protocols and accelerate the spread of the virus. This study aims to examine the pandemic fatigue sentiment of Indonesian twitter-users chronologically and the factors causing the development of pandemic fatigue sentiment. The method of this study includes digital ethnographic theory using sentiment analysis based on the Valence Aware Dictionary for Sentiment Reasoning (VADER) algorithm and topic modelling using Latent Dirichlet Allocation (LDA) analysis. The results showed a pattern of sentiment degression towards health protocols indicating the pandemic fatigue phenomenon. The factors causing the sentiment degression were influenced by three themes: (1) public criticism of the government's efforts to handle the spread of COVID-19, (2) experience in implementing health protocols, and (3) statements that against the government’s efforts to handle the spread of COVID-19. Based on the results of sentiment analysis and topic modelling, this study presents a public policy design referencing the World Health Organization (WHO) framework for community reinvigoration in the midst of pandemic fatigue that could be used for the government to undertake broader reforms to public health and social care for Indonesian society.
The Evaluation of Mathematics Online Learning in Eight Grade Students of SMP Negeri 1 Sipahutar in Academic Year 2021/2022
Authors: Tampubolon Taruli , Sibarani Sariayu , Harianja Robert
Published: August 2022

Learning mathematics in Covid-19 (Corona Virus Disease) learning is very ineffective and cannot meet face to face directly between teachers and students, and other students Therefore, in learning during the COVID-19 pandemic, students are asked to study from home using online methods, namely through social media. This study aims to determine the ease and constraints as well as learning outcomes and the effectiveness of student learning in online learning mathematics for eight grade students of SMP Negeri 1 Sipahutar. Type of research is descriptive qualitative which takes place in SMP Negeri 1 Sipahutar. The data sources used are primary and secondary data sources. The techniques used in data collection are interview methods, observation methods, test methods, and documentation methods. The data analysis technique used is data reduction and data presentation. Based on the learning outcomes and the effectiveness of student learning seen from student learning outcomes tests showed that the percentage of classical learning completeness was 37.5%. Based on these results, mastery learning reaches the criteria of being unfavorable thus it can be concluded that online learning during the COVID-19 pandemic using the WhatsApps application in mathematics learning is not effective.
Factor Humano y Cambio Organizacional
Authors: Estrada Sandra J. , Zuccarello Jiménez Rossana , Chirinos Sánchez Eglet del R. , Córdova Rodríguez Gustavo E.
Published: August 2022

El artículo tuvo como objetivo general determinar la importancia del factor humano en el contexto del cambio organizacional, teóricamente sustentado por: Parker (1941), Krüger, (2006), Certo (2001), Dobre (2013), Ganta (2014) y Ferrer (2015). Metodológicamente se ciñe a la tipología descriptiva, con diseño no experimental, transeccional, documental. Luego de la revisión de varios autores, los resultados permiten señalar, que se considera al factor humano como decisivo en el cambio, porque está involucrado en todos los procesos que en el seno de las organizaciones ocurren; que su compromiso con el cambio dependerá de la percepción que tenga en cuanto a que, los propósitos perseguidos también le beneficiarán a él y preferirá trabajos estimulantes, exigentes, acompañados de incentivos no monetarios. En la medida en que la organización comience a generar los resultados deseados en el proceso de cambio, los trabajadores perderán el temor a salir de la zona de confort (ZDC) y contagiarán a la organización con entusiasmo, sinergia y motivación. Se recomienda, proveerle de confianza, a fin de obtener su mejor esfuerzo en las transformaciones que propenderán a hacer de la organización una más eficiente, y conformar equipos de trabajo pequeños, para facilitar el pacto en las decisiones finales.
To Study the Condition Assessment Criteria of Open Drains
Authors: Burki Farid Ullah , Hussaine Syed Mujtaba
Published: August 2022

Abstract: The criteria for evaluating the state of open drains are presented in this research. Open sewage drains are one of the most valuable resources for public health works agencies in developing nations. We now lack a coordinated system for evaluating open sewage drains. Because of this, we are unable to determine the current condition of open sewage drains. To calculate the cost of rehabilitation and the maintenance schedule, condition evaluation criteria are required. Through an expert opinion poll, a preliminary list of the most prevalent distresses in open brick and concrete drains was created in order to generate condition evaluation criteria for sewage drains. The types of distresses were grouped and the severity percentage was calculated on the basis of visual analysis. Based on the findings, it was determined that concrete and brick drains, respectively, experienced maximum severity of 35%y and minimum severity of 20%. The pair wise techniques of condition assessment provide more reliable results for open drains.