bluuebunny/crossref_metadata_2025 huggingface dataset:
HUMAN ONTOLOGY FROM THE VIEWPOINT OF ORTHODOX CHRISTIAN ANTHROPOLOGY AND THE PSYCHOANALYTIC APPROACH
Authors: Ioannis Novakos
Published: October 2023

Certainly for Orthodox Christian anthropology, the person - man is undoubtedly and unquestionably its most fundamental and main issue. In this sense, in the specific scientific opinion/work, various ontological constants are dealt with and studied in relation to its constitution, as mentioned basically in the development content of Orthodox Christian anthropology. In addition, an attempt is made to render the Ontology of the person in accordance with the opinion of the Most Reverend Metropolitan of Pergamum Ioannis Zizioulas. Among other things, an attempt is made to analyze and attribute the contribution of the Cappadocian Fathers in terms of the active explanation of the differences of the confusion that existed until then, regarding the identification of the terms substance and person and the shift of the context of the time towards the face. Finally, a comparison will be attempted between the assumptions that Orthodox Christian anthropology advocates for the person with some other theoretical approaches regarding the creation and evolution of the human entity. Regarding the method of writing the specific theological work, the thorough and careful study and discussion of theological texts and theoretical approaches regarding the importance of the formation of man based on Orthodox Christian anthropology is used. Under these circumstances, it is noted that this work constitutes a thorough study of the interpretations of human performance according to the view of Orthodox Christian anthropology.
DEVELOPMENT OF A PLATFORM TO TEST THE SOLAR PHOTOCELL UNDER THE INFLUENCE OF INCLINATION, TEMPERATURE AND HUMIDITY: USE OF EMBEDDED SYSTEMS
Authors:   ED2DS. Iba Der Thiam University. Thies. Senegal., DIOP Abdoulaye , SOW Ousmane ,   University Institute of Technology. Iba Der Thiam University. ThiÃƒÂ¨s. Senegal., TRAORE Youssou ,   University Institute of Technology. Iba Der Thiam University. ThiÃƒÂ¨s. Senegal., Andallah DIOP Mame ,   University Institute of Technology. Iba Der Thiam University. ThiÃƒÂ¨s. Senegal., NDIAYE Jupiter ,   ED2DS. Iba Der Thiam University. Thies. Senegal., Sadikh FAYE Ababacar ,   ED2DS. Iba Der Thiam University. Thies. Senegal., DIALLO Oumar ,   University Institute of Technology. Iba Der Thiam University. ThiÃƒÂ¨s. Senegal.
Published: October 2023

This work presents the development of an experimental platform of the solar photocell under the influence of inclination, humidity temperature with the use of embedded systems. This system consists of 8 resistive loads with different values each connected to an NPN type transistor coupled to an instrumentation chain. A digital control programmed by an ATmega electronic board allows the automation of the variations of the resistive load fed by a solar panel of 19V 5 W of power. A computer program developed on the basis of an algorithm according to the defined operation, drives the Arduino electronic board. The movement of the sun during the day leads to the consideration of angle of incidence. During experiments this fundamental parameter is set electronically for automatic acquisition with the parameters: of the solar panel temperature, ambient temperature and humidity in the environment. The automatic variation of the resistive load with the combinations of the 8 electrical resistors to obtain 256 measurements in a few milliseconds. This speed of measurement makes possible the assumption of constant sunshine during the characterization, with a high number of points, of current-voltage curves of the photovoltaic solar cell with good precision.
PERIOSTITIS OSSIFICANS: REPORT OF TWO CASES
Authors:   Professor and Head Department of Oral Medicine and Radiology Noorul Islam College of Dental Sciences Aralummoodu, Trivandrum Kerala, India., M. M.D.S Sunitha , Rajesh M.D.S R. ,   Professor and Head Department of Pediatric Dentistry Indira Gandhi Dental College Kothamangalam, Ernakulam Kerala, India.
Published: October 2023

Periostitis ossificans, more popularly known asGarres osteomyelitis is a distinctive type of chronic osteomyelitis occurring in children and youngadultsandiscommonly associated with odontogenic infection. This paper describes two cases of Periostitis ossificans, one a nine-year-old girl and the other aneleven-year-old boy who presented with a bony hard swelling of the lower jaw. Both of them had an associated decayed permanent mandibular molar tooth. Occlusal radiograph revealed the pathognomonic onion skin appearance. Extraction of the molar teeth was performed as the patients did not consent for endodontic managementdue to financial constraints. There was complete remission of the swelling when reviewed after 6 months and later after7 yrs, showed complete bone remodelling.
COVID-19 pandemic and firm performance in leisure, arts, and hospitality industries: international evidence
Authors: Defung Felisitas , Hadjaat Michael , Yudaruddin Rizky
Published: October 2023

This study analyzes the impact of the COVID-19 pandemic on the performance of 944 Leisure, Arts, and Hospitality companies from 59 countries listed on global stock exchanges between 2018 and 2022. Using Ordinary Least Squares with robust standard errors, the study reveals a consistent and statistically significant negative impact of COVID-19 on the performance of firms. The results highlight the difficulties faced by companies in this industry during the pandemic. In addition, the study investigates the relationship between firm characteristics and company performance during the COVID-19 pandemic, revealing that company size, liquidity, and leverage play crucial roles in influencing firm performance across industries. Larger corporations exhibit greater resiliency, while greater liquidity facilitates better navigation of pandemic-induced obstacles. In contrast, companies with greater leverage experience more pronounced negative effects on their performance, highlighting the significance of debt management during a crisis. Based on these findings, policymakers are strongly urged to provide targeted assistance to Leisure, Arts, and Hospitality industries to address the challenges the pandemic poses effectively. Regulators should encourage the resiliency of larger firms and stress the importance of maintaining higher liquidity levels for financial stability. It is recommended that managers should prudently manage debt to limit pandemic repercussions and boost performance in the face of extraordinary challenges.
Mustafa Ayaz’ın Kadın Temalı Eserleri Üzerine Göstergebilimsel Bir İnceleme
Authors: Eke Nurcan Pınar , Yücel Nazende
Published: October 2023

Çağdaş Türk resim sanatı tarihinin önemli isimlerinden olan Mustafa Ayaz, ressam kimliğinin yanı sıra Profesör unvanı ve eğitmen kimliği ile de dikkat çeken bir figürdür. Resme dair sahip olduğu akademik birikimi, sanatçı bir ruhun özgün ve sıra dışı bakış açısıyla kesiştiren ender isimlerdendir. Eserlerinde kullandığı yarı-soyut dil, pek çok gösterge ile bezelidir ve göstergeler, Ayaz’ın kendine has üslubunun ortaya çıkmasında etkilidir. Akademik kariyerinin de getirdiği donanımla, göstergeleri sezgisel düzeyden ziyade bilinçli şekilde kullandığı düşünülmekte; bu nedenle de Ayaz’ın eserleri görsel göstergebilim açısından önemsenmektedir.

Bu bağlamda, öncelikle çağdaş Türk resim sanatı tarihinde Mustafa Ayaz’ın yerine ve önemine değinilmiştir. Sanatta soyutlama eğilimleri ve soyutlamanın görsel göstergebilimle ilişkisi ise betimsel bir literatür taraması eşliğinde ele alınmıştır. Ardındansa Ayaz’ın 1990-2000 yılları arasında ürettiği eserlerden seçilen bir karma, göstergebilimsel analiz ile incelenmiştir. Böylece, Ayaz’ın anlamı nerede bulduğu ve nasıl ifade ettiği tartışılarak, Türk resmine katkıları vurgulanmıştır.
Review of Sponge City implementation in China: performance and policy
Authors: Chikhi Faiza , Li Chuangcheng , Ji Qunfeng , Zhou Xilin
Published: October 2023

Urban flooding is a major problem for large cities around the world. Rapid urbanization in China has tremendously increased, resulting in more frequent incidences of urban flooding. In 2013, China launched a program of 30 pilot sponge cities (SPCs) to establish integrated urban stormwater management. However, today, after several years of implementation, some sponge cities still experience flooding. This study provides answers and solutions to these problems, by evaluating the overall performance of SPC in China from a systematic perspective considering the variable climatic conditions. This paper also highlights the limitations associated with implementing the current SPC. The adoption of overseas models, before adhering them to Chinese catchment properties, has generated significant uncertainty for simulation outputs and material provision challenges at various stages of the implementation process. Furthermore, hydrological connectivity between neighboring catchments has been neglected in most SPC projects. Developing local models based on local conditions and needs would address these issues and open new research windows for exploring more effective stormwater management initiatives. That includes the advancement of cost-effective evaluation studies, modern optimum efficiency design studies, and the analysis of groundwater contamination due to high infiltration rates and so on.
Pharmaceuticals in the Water: Emerging Concerns and Innovative
Remediation Solutions
Authors: Ojha Smriti , Tripathi Shivendra Mani , Vishwakarma Pratik Kumar , Mishra Sudhanshu
Published: October 2023

Pharmaceutical contamination, resulting from the discharge of active pharmaceutical ingredients
(APIs) and other related compounds into the water, has become a growing concern due to
its potential adverse effects on ecosystems and human health. This review article aims to examine the
many facets of pharmaceutical contamination and highlight the most recent developments in its remediation.
The effects of pharmaceuticals, sources, and pathways of pharmaceutical contamination,
as well as the difficulties in detecting and evaluating its toxicities, have been included in the present
manuscript. Nowadays various remediation strategies are employed to mitigate pharmaceutical contamination
in water. Conventional wastewater treatment techniques, including activated sludge processes
and membrane filtration, are effective in removing a portion of the pharmaceutical compounds.
However, advanced oxidation processes such as ozonation and photocatalysis have shown
promising results in enhancing the degradation of recalcitrant APIs. Nanotechnology-based approaches,
such as the use of nanoparticles for adsorption and degradation, and bioremediation methods
utilizing microbial degradation, enzymatic processes, and phytoremediation, offer potential future
directions for efficient and sustainable remediation. This review describes the most recent developments,
current status, and potential research directions with the future prospects of pharmaceutical
pollutants.
Phytochemical Profiling of Borassus flabellifer Haustorium and its
Potential Role in Combating COVID-19-Associated Encephalopathy: A
Computational Perspective
Authors: Mohaideen Noorul Samsoon Maharifa Haja , Srinivasan Hemalatha
Published: October 2023

Background:

In response to the global outbreak of SARS-CoV-2, researchers have been
conducting extensive investigations into potential drug candidates for combating coronavirus infections. One such focus has been on the ethanolic extract of Borassus flabellifer haustorium. While
various components of Borassus flabellifer have been explored for their pharmaceutical applications,
the potential of the haustorium remains relatively unexplored in this context.

Objective:

This study aimed to assess the phytocompounds from Borassus flabellifer haustorium
using GC MS analysis, evaluate their drug-likeness properties, and perform molecular docking
against crucial proteins involved in SARS-CoV-2 infection, namely the Main protease (6LU7), Spike
trimer (7AD1), and ACE2 receptor (1R42). The goal was to identify promising compounds with
good binding affinity as potential candidates for preventing coronavirus infection.

Methods:

The ethanolic extract of Borassus flabellifer haustorium underwent GC-MS analysis to
identify phytocompounds. Drug-likeness properties of screened compounds were assessed using the
Swiss ADME, followed by molecular docking against COVID-19 protein targets using PyRx.

Results:

The phytocompounds from Borassus flabellifer haustorium namely Phenanthro[1,2-b]furan10,11-dione, 6,7,8,9-tetrahydro-1,6,6-trimethyl-, Ethanone, 1-phenyl-2-(4,5-diphenyl-2-
imidazolylthio)-, and Thiazolo[3.2-a]benzimidazol-3(2H)-one, 2-(4-acetoxybenzylideno)-, exhibit
binding affinities of -7.3, -8.8, and -7.3 for the Main protease, -8, -8.5, and -9.2 for the Spike protein,
and -8, -8.1, and -7.9 for the ACE2 receptor, respectively exhibited favourable interactions with
COVID-19 protein targets. This suggests their potential as promising drug candidates for preventing
coronavirus infection. Despite limited previous exploration, the haustorium emerges as a rich source
of such candidates.

Conclusion:

The study underscores the significance of investigating the haustorium of Borassus
flabellifer identified in this study holds promise as a potential breakthrough treatment for COVID19-associated disease and the need for further investigations and experimental studies is warranted to
validate these findings.
The Impact of Digital Technology on Self-Management in Cancer: Systematic Review
Authors: Lim Dwight Su Chun , Kwok Benedict , Williams Patricia , Koczwara Bogda
Published: October 2023

Background

Self-management (SM) plays an important role in supporting patients’ adaptation to and management of the symptoms of chronic diseases. Cancer is a chronic disease that requires patients to have responsibility in management. Digital technology has the potential to enhance SM support, but there is little data on what SM skills are most commonly supported by digital technology.

Objective

This review aimed to examine the SM core skills that were enabled and supported by digital interventions in people with cancer and identify any predictors of the effect of digital health intervention on SM core skills.

Methods

Three electronic databases (MEDLINE, Scopus, and CINAHL) were searched for papers, published from January 2010 to February 2022, that reported randomized controlled trials (RCTs) involving patients with cancer or survivors of cancer where a digital technology intervention was evaluated and change in 1 or more SM core skills was a measured outcome.

Results

This systematic review resulted in 12 studies that were eligible to identify which SM core skills were enabled and supported by digital intervention. The total number of participants in the 12 studies was 2627. The most common SM core skills targeted by interventions were decision-making, goal setting, and partnering with health professionals. A total of 8 (67%) out of 12 RCTs demonstrated statistically significant improvement in outcomes including self-efficacy, survivorship care knowledge and attitude, quality of life, increased knowledge of treatment, and emotional and social functioning. A total of 5 (62%) out of 8 positive RCTs used theoretical considerations in their study design; whereas in 1 (25%) out of 4 negative RCTs, theoretical considerations were used. In 3 studies, some factors were identified that were associated with the development of SM core skills, which included younger age (regression coefficient [RC]=–0.06, 95% CI –0.10 to –0.02; P=.002), computer literacy (RC=–0.20, 95% CI –0.37 to –0.03; P=.02), completing cancer treatment (Cohen d=0.31), male sex (SD 0.34 in social functioning; P=.009), higher education (SD 0.19 in social functioning; P=.04), and being a recipient of chemotherapy (SD 0.36 in depression; P=.008). In all 3 studies, there were no shared identical factors that supported the development of SM core skills, whereby each study had a unique set of factors that supported the development of SM core skills.

Conclusions

Digital technology for patients with cancer appears to improve SM core skills including decision-making, goal setting, and partnering with health care partners. This effect is greater in people who are younger, male, educated, highly computer literate, completing cancer treatment, or a recipient of chemotherapy. Future research should focus on targeting multiple SM core skills and identifying predictors of the effect of digital technology intervention.

Trial Registration

PROSPERO CRD42021221922; https://tinyurl.com/mrx3pfax
Digital Cognitive Assessment Tests for Older Adults: Systematic Literature Review
Authors: Cubillos Claudio , Rienzo Antonio
Published: October 2023

Background

The global health pandemic has affected the increasing older adult population, especially those with mental illnesses. It is necessary to prevent cases of cognitive impairment in adults early on, and this requires the support of information and communication technologies for evaluating and training cognitive functions. This can be achieved through computer applications designed for cognitive assessment.

Objective

In this review, we aimed to assess the state of the art of the current platforms and digital test applications for cognitive evaluation, with a focus on older adults.

Methods

A systematic literature search was conducted on 3 databases (Web of Science, PubMed, and Scopus) to retrieve recent articles on the applications of digital tests for cognitive assessment and analyze them based on the methodology used. Four research questions were considered. Through the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology, following the application of inclusion and exclusion criteria, a total of 20 articles were finally reviewed.

Results

Some gaps and trends were identified regarding the types of digital applications and technologies used, the evaluated effects on cognitive domains, and the psychometric parameters and personal characteristics considered for validation.

Conclusions

Computerized tests (similar to paper-and-pencil tests) and test batteries (on computers, tablets, or web platforms) were the predominant types of assessments. Initial studies with simulators, virtual environments, and daily-life activity games were also conducted. Diverse validation methods and psychometric properties were observed; however, there was a lack of evaluations that involved specific populations with diverse education levels, cultures, and degrees of technology acceptance. In addition, these evaluations should consider emotional and usability aspects.
Integrative Approaches to Sleep Management in Skin Disease: Systematic Review
Authors: Kulkarni Vishnutheertha A , Mojica Isaiah , Gamsarian Vahram , Tahjian Michelle , Liu David , Grewal Tjinder , Liu Yuyang , Sivesind Torunn E , Lio Peter
Published: October 2023

Background

Dermatological conditions, especially when severe, can lead to sleep disturbances that affect a patient’s quality of life. However, limited research exists on the efficacy of treatments for improving sleep parameters in skin conditions.

Objective

The objective was to perform a systematic review of the literature on dermatological conditions and the treatments available for improving sleep parameters.

Methods

A literature review was performed using the PubMed, Ovid MEDLINE, Embase, Cochrane, and ClinicalTrials.gov databases from 1945 to 2021. After filtering based on our exclusion criteria, studies were graded using the SORT (Strength of Recommendation Taxonomy) algorithm, and only those receiving a grade of “2” or better were included.

Results

In total, 25 treatment studies (n=11,025) assessing sleep parameters related to dermatological conditions were found. Dupilumab appeared to be the best-supported and most effective treatment for improving sleep in atopic dermatitis (AD) but had frequent adverse effects. Topical treatments for AD were mostly ineffective, but procedural treatments showed some promise. Treatments for other conditions appeared efficacious.

Conclusions

The evaluation of sleep parameter changes in dermatological treatments is predominantly restricted to AD. Systemic interventions such as dupilumab and procedural interventions were the most efficacious. Sleep changes in other dermatoses were limited by a paucity of available studies. The inclusion of a sleep assessment component to a broader range of dermatological treatment studies is warranted.
Combatting SARS-CoV-2 With Digital Contact Tracing and Notification: Navigating Six Points of Failure
Authors: Masel Joanna , Petrie James Ian Mackie , Bay Jason , Ebbers Wolfgang , Sharan Aalekh , Leibrand Scott Michael , Gebhard Andreas , Zimmerman Samuel
Published: October 2023

Digital contact tracing and notification were initially hailed as promising strategies to combat SARS-CoV-2; however, in most jurisdictions, they did not live up to their promise. To avert a given transmission event, both parties must have adopted the technology, it must detect the contact, the primary case must be promptly diagnosed, notifications must be triggered, and the secondary case must change their behavior to avoid the focal tertiary transmission event. If we approximate these as independent events, achieving a 26% reduction in the effective reproduction number Rt would require an 80% success rate at each of these 6 points of failure. Here, we review the 6 failure rates experienced by a variety of digital contact tracing and contact notification schemes, including Singapore’s TraceTogether, India’s Aarogya Setu, and leading implementations of the Google Apple Exposure Notification system. This leads to a number of recommendations, for example, that the narrative be framed in terms of user autonomy rather than user privacy, and that tracing/notification apps be multifunctional and integrated with testing, manual contact tracing, and the gathering of critical scientific data.
A Large Language Model Screening Tool to Target Patients for Best Practice Alerts: Development and Validation
Authors: Savage Thomas , Wang John , Shieh Lisa
Published: October 2023

Background

Best Practice Alerts (BPAs) are alert messages to physicians in the electronic health record that are used to encourage appropriate use of health care resources. While these alerts are helpful in both improving care and reducing costs, BPAs are often broadly applied nonselectively across entire patient populations. The development of large language models (LLMs) provides an opportunity to selectively identify patients for BPAs.

Objective

In this paper, we present an example case where an LLM screening tool is used to select patients appropriate for a BPA encouraging the prescription of deep vein thrombosis (DVT) anticoagulation prophylaxis. The artificial intelligence (AI) screening tool was developed to identify patients experiencing acute bleeding and exclude them from receiving a DVT prophylaxis BPA.

Methods

Our AI screening tool used a BioMed-RoBERTa (Robustly Optimized Bidirectional Encoder Representations from Transformers Pretraining Approach; AllenAI) model to perform classification of physician notes, identifying patients without active bleeding and thus appropriate for a thromboembolism prophylaxis BPA. The BioMed-RoBERTa model was fine-tuned using 500 history and physical notes of patients from the MIMIC-III (Medical Information Mart for Intensive Care) database who were not prescribed anticoagulation. A development set of 300 MIMIC patient notes was used to determine the model’s hyperparameters, and a separate test set of 300 patient notes was used to evaluate the screening tool.

Results

Our MIMIC-III test set population of 300 patients included 72 patients with bleeding (ie, were not appropriate for a DVT prophylaxis BPA) and 228 without bleeding who were appropriate for a DVT prophylaxis BPA. The AI screening tool achieved impressive accuracy with a precision-recall area under the curve of 0.82 (95% CI 0.75-0.89) and a receiver operator curve area under the curve of 0.89 (95% CI 0.84-0.94). The screening tool reduced the number of patients who would trigger an alert by 20% (240 instead of 300 alerts) and increased alert applicability by 14.8% (218 [90.8%] positive alerts from 240 total alerts instead of 228 [76%] positive alerts from 300 total alerts), compared to nonselectively sending alerts for all patients.

Conclusions

These results show a proof of concept on how language models can be used as a screening tool for BPAs. We provide an example AI screening tool that uses a HIPAA (Health Insurance Portability and Accountability Act)–compliant BioMed-RoBERTa model deployed with minimal computing power. Larger models (eg, Generative Pre-trained Transformers–3, Generative Pre-trained Transformers–4, and Pathways Language Model) will exhibit superior performance but require data use agreements to be HIPAA compliant. We anticipate LLMs to revolutionize quality improvement in hospital medicine.
Empowering Foot Care Literacy Among People Living With Diabetes and Their Carers With an mHealth App: Protocol for a Feasibility Study
Authors: Liew Huiling , Pienkowska Anita , Ang Chin-Siang , Mahadzir Muhammad Daniel Azlan , Goh Kelley Fann Ing , Lodh Nandika , Bojic Iva , Lawate Ashwini , Ong Qi Chwen , Venkataraman Kavita , Car Josip , Ho Andy Hau Yan
Published: October 2023

Background

Diabetic foot ulcers (DFUs) cause significant morbidity affecting 19% to 34% of people living with diabetes mellitus. DFUs not only impair quality of life but may also result in limb loss and mortality. Patient education has been advocated to raise awareness of proper foot self-care and the necessity of seeking assistance when a foot wound occurs. Modern technologies, including mobile health (mHealth) interventions such as health apps, bring the potential for more cost-effective and scalable interventions.

Objective

This study aims to examine the feasibility and usability of a newly developed mHealth app called Well Feet, which is a diabetes and foot care education app for individuals at risk of developing DFU.

Methods

Well Feet was developed using an evidence-based and expert panel cocreation approach to deliver educational content available in 3 languages (ie, English, Chinese, and Malay) via animation videos and a range of additional features, including adaptive learning. A nonrandomized, single-arm feasibility study using a mixed methods approach with a series of validated questionnaires and focus group discussions will be conducted. In total, 40 patients and carers will be recruited from a tertiary hospital diabetes clinic to receive a 1-month mHealth intervention. The primary outcomes are the usability of the app and a qualitative perspective on user experience. Secondary outcomes include changes in foot care knowledge, self-management behaviors, and quality of life.

Results

Patient recruitment began in July 2023, and the intervention and data collection will be completed by the end of September 2023. This study has been approved by National Healthcare Group Domain Specific Review Board (2022/00614) on February 10, 2023. The expected results will be published in spring 2024.

Conclusions

Through this feasibility study, the Well Feet DFU education app will undergo a comprehensive quantitative and qualitative evaluation of its usability and acceptance for future improvement in its design. With local contextualization, cultural adaptation, and its multilingual functionality, the app addresses a critical aspect of DFU health education and self-management in a multiethnic population. Findings from this study will refine and enhance the features of the app based on user feedback and shape the procedural framework for a subsequent randomized controlled trial to assess the effectiveness of Well Feet.

Trial Registration

ClinicalTrials.gov NCT05564728; https://clinicaltrials.gov/study/NCT05564728

International Registered Report Identifier (IRRID)

DERR1-10.2196/52036
Intersection of Perceived COVID-19 Risk, Preparedness, and Preventive Health Behaviors: Latent Class Segmentation Analysis (Preprint)
Authors: Mgbere Osaro , Iloanusi Sorochi , Yunusa Ismaeel , Iloanusi Nchebe-Jah R , Gohil Shrey , Essien Ekere James
Published: October 2023

BACKGROUND

COVID-19 risk perception is a factor that influences the pandemic spread. Understanding the potential behavioral responses to COVID-19, including preparedness and adoption of preventive measures, can inform interventions to curtail its spread.

OBJECTIVE

We assessed self-perceived and latent class analysis (LCA)–based risks of COVID-19 and their associations with preparedness, misconception, information gap, and preventive practices among residents of a densely populated city in Nigeria.

METHODS

We used data from a cross-sectional survey conducted among residents (N=140) of Onitsha, Nigeria, in March 2020, before the government-mandated lockdown. Using an iterative expectation-maximization algorithm, we applied LCA to systematically segment participants into the most likely distinct risk clusters. Furthermore, we used bivariate and multivariable logistic regression models to determine the associations among knowledge, attitude, preventive practice, perceived preparedness, misconception, COVID-19 information gap, and self-perceived and LCA-based COVID-19 risks.

RESULTS

Most participants (85/140, 60.7%) had good knowledge and did not perceive themselves as at risk of contracting COVID-19. Three-quarters of the participants (102/137, 74.6%; P<.001) experienced COVID-19–related information gaps, while 62.9% (88/140; P=.04) of the participants had some misconceptions about the disease. Conversely, most participants (93/140, 66.4%; P<.001) indicated that they were prepared for the COVID-19 pandemic. The majority of the participants (94/138, 68.1%; P<.001) self-perceived that they were not at risk of contracting COVID-19 compared to 31.9% (44/138) who professed to be at risk of contracting COVID-19. Using the LCA, we identified 3 distinct risk clusters (P<.001), namely, prudent or low-risk takers, skeptics or high-risk takers, and carefree or very high-risk takers with prevalence rates (probabilities of cluster membership that represent the prevalence rate [γc]) of 47.5% (95% CI 40%-55%), 16.2% (95% CI 11.4%-20.9%), and 36.4% (95% CI 28.8%-43.9%), respectively. We recorded a significantly negative agreement between self-perceived risk and LCA-based segmentation of COVID-19 risk (κ=–0.218, SD 0.067; P=.01). Knowledge, attitude, and perceived need for COVID-19 information were significant predictors of COVID-19 preventive practices among the Onitsha city residents.

CONCLUSIONS

The clustering patterns highlight the impact of modifiable risk behaviors on COVID-19 preventive practices, which can provide strong empirical support for health prevention policies. Consequently, clusters with individuals at high risk of contracting COVID-19 would benefit from multicomponent interventions delivered in diverse settings to improve the population-based response to the pandemic.
Development of a digital risk-prediction tool based on family health history for the general population: legal and ethical challenges (Preprint)
Authors: Dijkstra Tetske , van Langen Irene M. , Sieperda Boudien M.Y. , Zaal Jacoliene , Lucassen Anneke M. , Ploem M. Corrette , Maeckelberghe Els L.M. , Christiaans Imke
Published: October 2023

UNSTRUCTURED

Cardiovascular diseases, both inherited and familial, indicate a risk of early and preventable cardiovascular events for relatives of affected individuals. A digital risk-prediction tool that enables general population individuals to evaluate their cardiovascular risk based on family health history could be a responsible approach to facilitate early detection and improve public health, but development and use of such a tool is not without legal and ethical challenges. At the start of tool development, experts mapped it’s legal and ethical framework and concluded that especially European Union (EU) regulations present potential obstacles for its development, broader availability and general use. A first example is that the EU General Data Protection Regulation does not allow the tool to collect health data about relatives without their consent; the alternative is data anonymisation. This requirement has major consequences for the tool’s usefulness and raises ethical concerns about who ‘’the owner’’ is of family data. A second example is related to the EU’s Medical Device Regulation: if software generates health risks or provides medical advice, it requires a CE mark from a ‘notified body’, an extensive and costly procedure. In this article, we describe these challenges in more detail and discuss possible solutions. In conclusion, alongside national law, European law can impact on the development of digital tools that collect family health data to provide information on health risks. We recommend including experts in law and ethics in developmental stages of such tools which are likely to become more frequent in routine public care.
Child Psychology in the Dance Classroom
Authors: Wang Yuyan
Published: October 2023

Child psychology is a discipline that studies the laws of children’s mental activities, and with the improvement of social standards, the application of psychology in children’s education is becoming more and more widespread. This paper takes children’s psychological development as a fulcrum to gain deep insight into children’s psychological characteristics in dance teaching. Taking children as the research object, it studies the specific application of psychology in the process of children’s dance teaching through its own teaching practice.
A Survey on HealthCare Claim Prediction
Authors: Naik Amogh , Parihar Kush
Published: October 2023

Abstract: The life insurance industry has experienced a significant increase in claims in recent years. To cope with the large volume of claims, insurance companies are turning to machine learning models for predicting life insurance claims. This paper presents a machine-learning model for predicting life insurance claims based on various demographic and health-related features. The proposed model will be evaluated on a real dataset and will achieve a high accuracy, precision, recall, and F1 score. The results will show that the machine learning model can effectively predict life insurance claims, which can improve the efficiency of claims processing and ultimately benefit insurance companies and policyholders
A Review on Use of Telecommunication Tower over Host Structure
Authors: Gupta Hritik , Chourasia Aditi , Mishra Dr. Chaitanya , Joshi Dr. Parikhsit
Published: October 2023

Abstract: Effective communication depends on strong towers since it has been used worldwide. The telephonic communication depends on this since it is the only way to connect different networks. It can be installed above the structure and over the ground but the failure of such structures during hazardous conditions can result in critical communication breakdowns. In this study different reviews based on the telecommunication towers installed on tall buildings worldwide has given. Usually, four-legged towers used for good communication and to transfer the load. Different reviews based on only tower analysis and remaining on the response over the host structure over which the tower rests. This literature review provides valuable visions and conclusions to identify the problems related to the telecommunication tower which has to be provided over the building and the location over which it has to be placed. From this study it has to be noted that previous studies were based on the location that was optimum for the host structure but no one used the worst case of tower placing if it will be necessary to provide at that location. From this, we came to know the conclusive outcome that aim to provide technical insights and recommendations for future research in this area
A Study on the Impact of Building Information Modeling (BIM) in AEC (Architecture, Engineer, Construction) Industry
Authors: Mahammad Abdul Althaf
Published: October 2023

Abstract: The field of Architecture, Engineering, and Construction (AEC) plays a vital role in driving global progress. Yet, the need for innovative ideas has presented the AEC sector with its fair share of hurdles. Introducing Building Information Modeling (BIM), a rapidly expanding tool on the global stage, aimed at boosting AEC efficiency and resolving key challenges. Recent times have witnessed both public and private sectors making BIM integration a requirement in new construction projects. However, the utilization of BIM by governments, particularly in less developed nations, remains limited. This research brings together industry stakeholders to discuss the merits of BIM, identify obstacles, and suggest practical solutions, thus encouraging wider adoption and reaping the benefits of BIM.
Virtual Mouse Using Artificial Intelligence
Authors: Singh Jasdeep , Goyal Sahil , Kwatra Bhavik , Kaur Sandeep
Published: October 2023

Abstract: The "AI Virtual Mouse" project represents a pioneering exploration at the intersection of computer vision, machine learning, and digital artistry. This endeavor seeks to revolutionize the conventional modes of digital art creation by introducing an immersive, hands-free painting experience through the interpretation of hand gestures. Motivated by a vision to make digital art more intuitive and interactive, the project employs sophisticated hand tracking facilitated by the MediaPipe library and robust image processing via the OpenCV framework. By discerning the nuanced movements of the hand in real- time, the system translates these gestures into dynamic strokes on a virtual canvas, eliminating the physical barriers that often accompany traditional input devices. This abstract encapsulates the project's core objectives, highlighting its architectural foundations, implementation strategies, and future trajectories. The convergence of technology and artistic expression in the AI Virtual Mouse project presents a paradigm shift in how individuals engage with digital canvases. It not only democratizes the creative process by mirroring natural artistic gestures but also lays the groundwork for a more personalized and collaborative approach to digital art creation. As technological landscapes continue to evolve, this project stands as a testament to the potential of artificial intelligence in fostering innovative and accessible avenues for artistic exploration. The paper delves into the details of the AI Virtual Mouse, offering insights into its current capabilities and paving the way for an exciting future where the realms of technology and creativity seamlessly intertwine.
House Price Prediction: Comparative Analysis of Regression-Based Machine Learning Algorithms
Authors: Aniobi David Emmanuel , Ochuba Chukwuemeka Oluebube , Nguideen Saater Benedicta
Published: October 2023

Abstract: Advancement in technology has revolutionized the ways of doing things in contemporary time. One of such is Artificial intelligence which has given birth to myriads of methods/techniques employed in solving real life problems. Many Machine learning techniques can be used in predicting house prices with several factors in consideration. House prices rise on annual basis, triggering the need for house price prediction models. Predictive models enable families to acquire a house of their choice when accurately developed. There have been a significant number of articles that adopt traditional machine learning algorithms to successfully estimate house prices, but they rarely compare the performance of individual models. This study will extensively test and compare numerous machine learning technique and present an optimistic model that will be used in developing a house pricing prediction system. Several models were developed and compared using Linear Regression (LR), Least Absolute Shrinkage & Selection Operator Regression (LASSO-R), Ridge Regression (RR), K-Nearest Neighbours Regression (KNN-R), Decision Tree Regression (DTR) and Extra Trees Regression (ETR) algorithms. Implemented using Python programming language. Amongst them ETR outperformed the others with MSE (16233.4), RMSE (128.7), MAE (49.6) and R2 (0.63) while the least performed is KNN-R with MSE (45763.3), RMSE (213.9), MAE (99.2) and R2 (-0.04).
The minimal communication cost for simulating entangled qubits
Authors: Renner Martin J. , Quintino Marco Túlio
Published: October 2023

We analyze the amount of classical communication required to reproduce the statistics of local projective measurements on a general pair of entangled qubits,|ΨAB⟩=p |00⟩+1−p |11⟩(with1/2≤p≤1). We construct a classical protocol that perfectly simulates local projective measurements on all entangled qubit pairs by communicating one classical trit. Additionally, when2p(1−p)2p−1log⁡(p1−p)+2(1−p)≤1, approximately0.835≤p≤1, we present a classical protocol that requires only a single bit of communication. The latter model even allows a perfect classical simulation with an average communication cost that approaches zero in the limit where the degree of entanglement approaches zero (p→1). This proves that the communication cost for simulating weakly entangled qubit pairs is strictly smaller than for the maximally entangled one.
Neural Network Approach to the Simulation of Entangled States with One Bit of Communication
Authors: Sidajaya Peter , Lim Aloysius Dewen , Yu Baichu , Scarani Valerio
Published: October 2023

Bell's theorem states that Local Hidden Variables (LHVs) cannot fully explain the statistics of measurements on some entangled quantum states. It is natural to ask how much supplementary classical communication would be needed to simulate them. We study two long-standing open questions in this field with neural network simulations and other tools. First, we present evidence that all projective measurements on partially entangled pure two-qubit states require only one bit of communication. We quantify the statistical distance between the exact quantum behaviour and the product of the trained network, or of a semianalytical model inspired by it. Second, while it is known on general grounds (and obvious) that one bit of communication cannot eventually reproduce all bipartite quantum correlation, explicit examples have proved evasive. Our search failed to find one for several bipartite Bell scenarios with up to 5 inputs and 4 outputs, highlighting the power of one bit of communication in reproducing quantum correlations.
Conceito de função e formação inicial de professores: uma revisão sistemática de literatura
Authors: Lima Caroline Miranda Pereira , Pazuch Vinícius
Published: October 2023

Este artigo é uma revisão sistemática de literatura com o objetivo de identificar aspectos teóricos e metodológicos de pesquisas sobre o conceito de função na formação inicial. Seguindo os princípios do Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA), 14 artigos foram incluídos como corpus desta revisão sistemática de literatura com base nas suas abordagens teóricas e metodológicas de pesquisa. Para fins comparativos, foram realizadas uma análise vertical e uma análise horizontal que apontam para a transição entre as múltiplas representações do conceito de função e as abordagens e recursos utilizados pelos futuros professores com maior predominância nas pesquisas. As considerações finais revelam como o conceito de função é caracterizado pelos professores na formação inicial, de modo que há dificuldades na construção de seu conhecimento conceitual, além de uma lacuna na existência de pesquisas com essa temática em território nacional.
Narrativas de alunas de pedagogia: desvelando experiências formativas
Authors: Freitas Ana Paula de , Sarmento Teresa
Published: October 2023

O estudo focaliza a formação docente para lidar com a diversidade de alunos na sala de aula comum. Apresenta-se uma pesquisa desenvolvida em um grupo de estudos com graduandas de Pedagogia que realizaram estágio extracurricular em uma rede de ensino municipal e, dentre as funções, apoiavam alunos com deficiência. A investigação assume o método biográfico e, no presente texto, busca-se compreender os reflexos da experiência das estudantes nesse estágio, em especial, na formação para lidar com o processo educativo desses alunos. Os encontros do grupo foram audiogravados e posteriormente transcritos. O procedimento analítico buscou interpretar os sentidos que a experiência produziu nas alunas. Os resultados, organizados em três eixos temáticos, indicam que o grupo de estudos se configurou como um espaço institucional de formação para as graduandas e possibilitou, por meio das narrativas, reflexão e transformação de saberes tácitos em conhecimento. Conclui-se que a narrativa biográfica contribui para criar uma proximidade entre a formação, a profissão de professor e as condições concretas da escola e do trabalho docente.
Ebós de saberes: encruzilhando a pedagogia e abrindo caminhos para a decolonialidade
Authors: Feitosa Belijane Marques
Published: October 2023

Neste artigo refletimos sobre os aspectos de uma pedagogia sensível ao atravessar encruzilhadas e abrir caminhos para saberes e valores conectados às tradições de matrizes africanas, pensadas aqui como as pedagogias do terreiro e as implicações destas com a formação de professoras (es) na universidade, entrevendo perspectivas de cheganças de cosmovisões historicamente negadas, invisibilizadas e silenciadas no processo de formação docente e na docência. A pesquisa incorporou uma metodologia qualitativa através de uma auto(orís)etnografia, que evocou orís e corpos que se constituem no terreiro e constroem saberes advindos da nossa ancestralidade em ensinagens e aprendizagens fundadas na coletividade, no experenciado, vivido e sentido. Compreendemos que ocupar a universidade é caminho para constituir práticas pedagógicas pluriepistêmicas desarranjadoras da colonialidade na formação docente, potencializando nossos saberes que emergem da nossa pertença terreirada, tidos e entendidos como subalternos e continuamente negados nos espaços sociais e educacionais.
Cosmologies of Asylum: A Lumbung Collaboration Between Trampoline House and Project Art Works
Authors: Carlota Mir
Published: October 2023

This exposition is a harvest of ‘Massaging The Asylum System’, a year-long collaboration between refugee justice centre Trampoline House (DK) and neurodiverse collective Project Art Works (UK) by co-curator Carlota Mir. As a lumbung practice, harvest refers to artistic recordings of discussions and meetings.

Together, we set out to explore how migrant and neurodivergent communities are affected by social systems of care and control, and we sought ways to massage the asylum system – yes, massage, like a real massage – so that it could become softer and more humane. Bringing together the vision and artistic tools from both organisations, our work became a temporary coalition of dissident bodies. 

Organised in a series of concentric circles and islands, the map revisits the ecosystem of the project and its traces: informal encounters, public conversations, art installations, and two workshop series in Copenhagen and Kassel, reflecting a multitude of voices from artists, collective members, facilitators, activists, publics, and the lumbung community.

The collaboration between Trampoline House and Project Art Works was initiated by Carlota Mir and Sara Alberani in the context of documenta fifteen and funded with common resources from the lumbung Collective Pot. 

With support from the Danish Arts Foundation and the Italian Council. Publication design: Laura Migueláñez and Orestis Nikolaidis. Thanks to lumbung inter-lokal, Trampoline House and Project Art Works communities for their generosity and the knowledge shared, which has made this harvest possible.