bluuebunny/crossref_metadata_2025 huggingface dataset:
Early toxicosis: a review of current data
Authors: Iupatov E. Yu. , Filyushina A. V.
Published: April 2022

This article contains information from modern sources on the topic of early toxicosis, which most often occurs in the trimester, and in some cases can continue until the third trimester of pregnancy. On the occurrence of literature data, it can be said that diseases such as early toxicosis, the appearance of vomiting and nausea in pregnant women, the threat of diseases in pregnant women, neurological disorders, fetal asphyxia, rupture of the esophagus and retinal hemorrhage in the mother, as well as other complications. The pathogenesis of early toxicosis has many theories, for example, the theory of the influence of chorionic gonadotropin or the mechanical theory of the development of vomiting during pregnancy, but none of them can fully explain all cases of the disease. In this case, we can conclude that early toxicosis is multifactorial.

Clinically, vomiting of pregnant women can occur in mild, moderate and severe severity, and in the latter case, the so-called vicious circle is often formed, which includes severe electrolyte disorders, neurological disorders, and alkalosis. Treatment of a mild form of  vomiting of  pregnant women is carried out on an outpatient basis, and moderate and severe  – in  a hospital. Conclusion. Based on the sources, the treatment of early toxicosis is based on an integrated approach. Undoubtedly, the basis for each degree will be diet, replenishment of water and electrolyte balance, as well as symptomatic treatment. Data are given on the use of both homeopathic remedies and drug therapy, as well as psychotherapeutic assistance to pregnant women.
Mathematical model and motion analysis of a wheeled vibro-impact locomotion system
Authors: Korendiy Vitaliy , Gursky Volodymyr , Kachur Oleksandr , Dmyterko Petro , Kotsiumbas Oleh , Havrylchenko Oleksandr
Published: April 2022

The paper is aimed at investigating the motion conditions of the wheeled vibro-impact locomotion system equipped with the twin crank-slider excitation mechanism and the additional braking mechanisms allowing only one-way rotation of the wheels. The novelty of the present research consists in the improved mathematical model describing the motion conditions of the vibro-impact system and the proposed parameters optimization technique that allows for maximizing the average translational velocity of the wheeled platform. The main idea of this technique is to provide the maximal velocities of internal bodies when they get in contact with the corresponding impact plates. The numerical modeling results describing the dynamic behavior of the vibro-impact system are obtained in Mathematica software and substantiate the correctness of the developed mathematical model and of the proposed parameters optimization technique. The paper can be of significant practical and scientific interest for researchers and engineers studying and improving the vibratory locomotion systems, e.g., for inspecting and cleaning the pipelines.
Electrochemical defluorination of water: an experimental and morphological study
Authors: Abdulredha Muhammad , Al-Samarrai Shatha Y. , Hussein Ameer H. , Samaka Isra'a Sadi , Al-Ansari Nadhir , Aldhaibani Omar A.
Published: April 2022

This experimental study concerns the elimination of fluoride from water using an electrocoagulation reactor having a variable flow direction in favour of increasing the electrolysing time, saving the reactor area, and water mixing. The detention time of the space-saver EC reactor (S-SECR) was measured and compared to the traditional reactors using an inert dye (red drain dye). Then, the influence of electrical current (1.5 ≤ δ ≤ 3.5 mA cm−2), pH of water (4 ≤ pH ≤ 10), and distance between electrodes (5 ≤ ϕ ≤ 15) on the defluoridation of water was analysed. The effect of the electrolysing activity on the electrodes' morphology was studied using scanning electron microscopy (SEM). Additionally, the operational cost was calculated. The results confirmed the removal of fluoride using S-SECR met the guideline of the World Health Organization (WHO) for fluoride levels in drinking water of ≤1.5 mg/L. S-SECR abated fluoride concentration from 20 mg/L to the WHO's guideline at δ, ϕ, pH, operational cost, and power consumption of 2.5 mA cm−2, 5 mm, 7, 0.346 USD m−3, and 5.03 kWh m−3, respectively. It was also found the S-SECR enhanced the detention time by 190% compared to the traditional reactors. The appearance of dents and irregularities on the surface of anodes in the SEM images proves the electrolysing process.
Story Telling: Writing the Body to Recall Life in Kanehara Hitomi’s Autofiction and Charlotte Roche’s Wrecked
Authors: Roussel Flora
Published: April 2022

In their way of living obsessions and traumas, the protagonists of Autofiction and Wrecked embody the conscious or unconscious search for a solution: Writing serves as the medium to tell a story as well as a means of re-entry into life. The fragmented narratives presented by Kanehara and Roche disrupt any linear storytelling as they reveal the protagonists’ painful memories. Placing the body at the centre of the analysis, the argumentation focuses on the sexual and textual aspects of the body. Aiming to demonstrate how the use of storytelling in Autofiction and Wrecked symbolises a recalling to life, this article first thematises the function of sexuality and secondly looks to the narrative itself. The body thus helps a process of healing.
In pursuit of a community-informed group prenatal care model for telehealth use
Authors: Lessard Lauren N , Wiemann Andrea , Oberholtzer Christy , Coleman-Phox Kimberly , Chambers Brittany D , Kuppermann Miriam
Published: April 2022

Group prenatal care is increasingly being used to improve maternal and infant physical and mental health outcomes. We assessed COVID-19–related changes in prenatal care, economic circumstances, and social needs of low-income pregnant and parenting persons to inform adapting a group prenatal care program enhanced with education, care coordination, and other support for use with telehealth. This study offers tangible ways to design and enhance telehealth group prenatal care to address the priorities identified by low-income families while incorporating limitations and requirements of medical care delivery systems. Telehealth group prenatal care programs can be implemented to increase access to health care, resources, and social connection during and after the pandemic.
Pd-Cu Bimetallic Based Catalysts for Nitrate Remediation in Water: Synthesis, Characterization, and the Influence of Supports
Authors:   Laboratory of Materials, Catalysis, Environment and Analytical Methods (MCEMA), EDST, FS, Lebanese University, P.O. Box 11-2806, Hariri Campus, Hadath, Lebanon, Rachini Mouhamad
Published: April 2022

The use of Pd-Cu bimetallic catalysts in the reduction of aqueous nitrate ions by hydrogen was studied. The catalysts were supported on multi-walled carbon nanotubes (MWCNTs), activated carbon (AC), and Titania, and the influence of the support on the nitrate reduction activity in water was then investigated. The catalysts were characterized before and after use by FT-IR, XRD, SEM, EDX, and Laser Granulometry. It was found that the surface characteristics of the support have an influence on the catalyst activity, with Pd-Cu supported on MWCNT displaying the highest reduction efficiency.
Using GPS Tracking to Investigate Outdoor Navigation Patterns in Patients With Alzheimer Disease: Cross-sectional Study
Authors: Puthusseryppady Vaisakh , Morrissey Sol , Aung Min Hane , Coughlan Gillian , Patel Martyn , Hornberger Michael
Published: April 2022

Background

Spatial disorientation is one of the earliest and most distressing symptoms seen in patients with Alzheimer disease (AD) and can lead to them getting lost in the community. Although it is a prevalent problem worldwide and is associated with various negative consequences, very little is known about the extent to which outdoor navigation patterns of patients with AD explain why spatial disorientation occurs for them even in familiar surroundings.

Objective

This study aims to understand the outdoor navigation patterns of patients with AD in different conditions (alone vs accompanied; disoriented vs not disoriented during the study) and investigate whether patients with AD experienced spatial disorientation when navigating through environments with a high outdoor landmark density and complex road network structure (road intersection density, intersection complexity, and orientation entropy).

Methods

We investigated the outdoor navigation patterns of community-dwelling patients with AD (n=15) and age-matched healthy controls (n=18) over a 2-week period using GPS tracking and trajectory mining analytical techniques. Here, for the patients, the occurrence of any spatial disorientation behavior during this tracking period was recorded. We also used a spatial buffer methodology to capture the outdoor landmark density and features of the road network in the environments that the participants visited during the tracking period.

Results

The patients with AD had outdoor navigation patterns similar to those of the controls when they were accompanied; however, when they were alone, they had significantly fewer outings per day (total outings: P<.001; day outings: P=.003; night outings: P<.001), lower time spent moving per outing (P=.001), lower total distance covered per outing (P=.009), lower walking distance per outing (P=.02), and lower mean distance from home per outing (P=.004). Our results did not identify any mobility risk factors for spatial disorientation. We also found that the environments visited by patients who experienced disorientation versus those who maintained their orientation during the tracking period did not significantly differ in outdoor landmark density (P=.60) or road network structure (road intersection density: P=.43; intersection complexity: P=.45; orientation entropy: P=.89).

Conclusions

Our findings suggest that when alone, patients with AD restrict the spatial and temporal extent of their outdoor navigation in the community to successfully reduce their perceived risk of spatial disorientation. Implications of this work highlight the importance for future research to identify which of these individuals may be at an actual high risk for spatial disorientation as well as to explore the implementation of health care measures to help maintain a balance between patients’ right to safety and autonomy when making outings alone in the community.
Examining the Implementation of Digital Health to Strengthen the COVID-19 Pandemic Response and Recovery and Scale up Equitable Vaccine Access in African Countries
Authors: Olusanya Olufunto A , White Brianna , Melton Chad A , Shaban-Nejad Arash
Published: April 2022

The COVID-19 pandemic has profoundly impacted the world, having taken the lives of over 6 million individuals. Accordingly, this pandemic has caused a shift in conversations surrounding the burden of diseases worldwide, welcoming insights from multidisciplinary fields including digital health and artificial intelligence. Africa faces a heavy disease burden that exacerbates the current COVID-19 pandemic and limits the scope of public health preparedness, response, containment, and case management. Herein, we examined the potential impact of transformative digital health technologies in mitigating the global health crisis with reference to African countries. Furthermore, we proposed recommendations for scaling up digital health technologies and artificial intelligence–based platforms to tackle the transmission of the SARS-CoV-2 and enable equitable vaccine access. Challenges related to the pandemic are numerous. Rapid response and management strategies—that is, contract tracing, case surveillance, diagnostic testing intensity, and most recently vaccine distribution mapping—can overwhelm the health care delivery system that is fragile. Although challenges are vast, digital health technologies can play an essential role in achieving sustainable resilient recovery and building back better. It is plausible that African nations are better equipped to rapidly identify, diagnose, and manage infected individuals for COVID-19, other diseases, future outbreaks, and pandemics.
Monitoring User Opinions and Side Effects on COVID-19 Vaccines in the Twittersphere: Infodemiology Study of Tweets
Authors: Portelli Beatrice , Scaboro Simone , Tonino Roberto , Chersoni Emmanuele , Santus Enrico , Serra Giuseppe
Published: April 2022

Background

In the current phase of the COVID-19 pandemic, we are witnessing the most massive vaccine rollout in human history. Like any other drug, vaccines may cause unexpected side effects, which need to be investigated in a timely manner to minimize harm in the population. If not properly dealt with, side effects may also impact public trust in the vaccination campaigns carried out by national governments.

Objective

Monitoring social media for the early identification of side effects, and understanding the public opinion on the vaccines are of paramount importance to ensure a successful and harmless rollout. The objective of this study was to create a web portal to monitor the opinion of social media users on COVID-19 vaccines, which can offer a tool for journalists, scientists, and users alike to visualize how the general public is reacting to the vaccination campaign.

Methods

We developed a tool to analyze the public opinion on COVID-19 vaccines from Twitter, exploiting, among other techniques, a state-of-the-art system for the identification of adverse drug events on social media; natural language processing models for sentiment analysis; statistical tools; and open-source databases to visualize the trending hashtags, news articles, and their factuality. All modules of the system are displayed through an open web portal.

Results

A set of 650,000 tweets was collected and analyzed in an ongoing process that was initiated in December 2020. The results of the analysis are made public on a web portal (updated daily), together with the processing tools and data. The data provide insights on public opinion about the vaccines and its change over time. For example, users show a high tendency to only share news from reliable sources when discussing COVID-19 vaccines (98% of the shared URLs). The general sentiment of Twitter users toward the vaccines is negative/neutral; however, the system is able to record fluctuations in the attitude toward specific vaccines in correspondence with specific events (eg, news about new outbreaks). The data also show how news coverage had a high impact on the set of discussed topics. To further investigate this point, we performed a more in-depth analysis of the data regarding the AstraZeneca vaccine. We observed how media coverage of blood clot–related side effects suddenly shifted the topic of public discussions regarding both the AstraZeneca and other vaccines. This became particularly evident when visualizing the most frequently discussed symptoms for the vaccines and comparing them month by month.

Conclusions

We present a tool connected with a web portal to monitor and display some key aspects of the public’s reaction to COVID-19 vaccines. The system also provides an overview of the opinions of the Twittersphere through graphic representations, offering a tool for the extraction of suspected adverse events from tweets with a deep learning model.
Mechanism of Impact of Big Data Resources on Medical Collaborative Networks From the Perspective of Transaction Efficiency of Medical Services: Survey Study (Preprint)
Authors: Yuan Junyi , Wang Sufen , Pan Changqing
Published: April 2022

BACKGROUND

The application of big data resources and the development of medical collaborative networks (MCNs) boost each other. However, MCNs are often assumed to be exogenous. How big data resources affect the emergence, development, and evolution of endogenous MCNs has not been well explained.

OBJECTIVE

This study aimed to explore and understand the influence of the mechanism of a wide range of shared and private big data resources on the transaction efficiency of medical services to reveal the impact of big data resources on the emergence and development of endogenous MCNs.

METHODS

This study was conducted by administering a survey questionnaire to information technology staff and medical staff from 132 medical institutions in China. Data from information technology staff and medical staff were integrated. Structural equation modeling was used to test the direct impact of big data resources on transaction efficiency of medical services. For those big data resources that had no direct impact, we analyzed their indirect impact.

RESULTS

Sharing of diagnosis and treatment data (β=.222; P=.03) and sharing of medical research data (β=.289; P=.04) at the network level (as big data itself) positively directly affected the transaction efficiency of medical services. Network protection of the external link systems (β=.271; P=.008) at the level of medical institutions (as big data technology) positively directly affected the transaction efficiency of medical services. Encryption security of web-based data (as big data technology) at the level of medical institutions, medical service capacity available for external use, real-time data of diagnosis and treatment services (as big data itself) at the level of medical institutions, and policies and regulations at the network level indirectly affected the transaction efficiency through network protection of the external link systems at the level of medical institutions.

CONCLUSIONS

This study found that big data technology, big data itself, and policy at the network and organizational levels interact with, and influence, each other to form the transaction efficiency of medical services. On the basis of the theory of neoclassical economics, the study highlighted the implications of big data resources for the emergence and development of endogenous MCNs.
Technology Acceptance and Usability of a Virtual Reality Intervention for Military Members and Veterans With Posttraumatic Stress Disorder: Mixed Methods Unified Theory of Acceptance and Use of Technology Study (Preprint)
Authors: Jones Chelsea , Miguel Cruz Antonio , Smith-MacDonald Lorraine , Brown Matthew R G , Vermetten Eric , Brémault-Phillips Suzette
Published: April 2022

BACKGROUND

Military members and veterans exhibit higher rates of injuries and illnesses such as posttraumatic stress disorder (PTSD) because of their increased exposure to combat and other traumatic scenarios. Novel treatments for PTSD are beginning to emerge and increasingly leverage advances in gaming and other technologies, such as virtual reality. Without assessing the degree of technology acceptance and perception of usability to the end users, including the military members, veterans, and their attending therapists and staff, it is difficult to determine whether a technology-based treatment will be used successfully in wider clinical practice. The Unified Theory of Acceptance and Use of Technology model is commonly used to address the technology acceptance and usability of applications in 5 domains.

OBJECTIVE

Using the Unified Theory of Acceptance and Use of Technology model, the purpose of this study was to determine the technology acceptance and usability of multimodal motion-assisted memory desensitization and reconsolidation (3MDR) on a virtual reality system in the primary user group (military members and veterans with treatment-resistant PTSD, 3MDR therapists, and virtual reality environment operators).

METHODS

This mixed methods embedded pilot study included military members (n=3) and veterans (n=8) with a diagnosis of combat-related PTSD, as well as their therapists (n=13) and operators (n=5) who completed pre-post questionnaires before and on completion of 6 weekly sessions of 3MDR. A partial least squares structural equation model was used to analyze the questionnaire results. Qualitative data from the interviews were assessed using thematic analysis.

RESULTS

Effort expectancy, which was the most notable predictor of behavioral intention, increased after a course of 3MDR with the virtual reality system, whereas all other constructs demonstrated no significant change. Participants’ expectations of the technology were met, as demonstrated by the nonsignificant differences in the pre-post scores. The key qualitative themes included feasibility and function, technical support, and tailored immersion.

CONCLUSIONS

3MDR via a virtual reality environment appears to be a feasible, usable, and accepted technology for delivering 3MDR to military members and veterans who experience PTSD and 3MDR therapists and operators who facilitate their treatment.
Global Scientific Research Landscape on Medical Informatics From 2011 to 2020: Bibliometric Analysis (Preprint)
Authors: He Xuefei , Peng Cheng , Xu Yingxin , Zhang Ye , Wang Zhongqing
Published: April 2022

BACKGROUND

With the emerging information and communication technology, the field of medical informatics has dramatically evolved in health care and medicine. Thus, it is crucial to explore the global scientific research landscape on medical informatics.

OBJECTIVE

This study aims to present a visual form to clarify the overall scientific research trends of medical informatics in the past decade.

METHODS

A bibliometric analysis of data retrieved and extracted from the Web of Science Core Collection (WoSCC) database was performed to analyze global scientific research trends on medical informatics, including publication year, journals, authors, institutions, countries/regions, references, and keywords, from January 1, 2011, to December 31, 2020.

RESULTS

The data set recorded 34,742 articles related to medical informatics from WoSCC between 2011 and 2020. The annual global publications increased by 193.86% from 1987 in 2011 to 5839 in 2020. Journal of Medical Internet Research (3600 publications and 63,932 citations) was the most productive and most highly cited journal in the field of medical informatics. David W Bates (99 publications), Harvard University (1161 publications), and the United States (12,927 publications) were the most productive author, institution, and country, respectively. The co-occurrence cluster analysis of high-frequency author keywords formed 4 clusters: (1) artificial intelligence in health care and medicine; (2) mobile health; (3) implementation and evaluation of electronic health records; (4) medical informatics technology application in public health. COVID-19, which ranked third in 2020, was the emerging theme of medical informatics.

CONCLUSIONS

We summarize the recent advances in medical informatics in the past decade and shed light on their publication trends, influential journals, global collaboration patterns, basic knowledge, research hotspots, and theme evolution through bibliometric analysis and visualization maps. These findings will accurately and quickly grasp the research trends and provide valuable guidance for future medical informatics research.
Characteristics and Outcomes of Clinical Trials on Gene Therapy in Noncongenital Cardiovascular Diseases: Cross-sectional Study of Three Clinical Trial Registries (Preprint)
Authors: Pinczak Witold , Trzcińska Sylwia , Kamiński Mikołaj
Published: April 2022

BACKGROUND

Cardiovascular diseases remain the leading cause of morbidity and mortality worldwide. Gene therapies (GTs) may become a novel therapeutic option for cardiovascular diseases.

OBJECTIVE

We aimed to characterize all trials involving human subjects utilizing GT to treat noncongenital cardiovascular diseases.

METHODS

In March 2021, we searched for clinical trials on the ClinicalTrials.gov (CT), International Clinical Trials Registry Platform (ICTRP), and International Standard Randomised Controlled Trials Number (ISRCTN) databases. Two authors screened the titles and registry notes of all the searched studies. We collected details of the included studies regarding their design, location funding source, treated conditions, completion, publication statuses, and final outcomes.

RESULTS

We generated a total of 3508 records, and 50 unique clinical trials met our eligibility criteria. Of these, 20 (40%) concerned peripheral artery disease, and 18 (36%) concerned coronary artery disease. Most studies were randomized (34/50, 68%) and were performed in multiple locations (30/50, 60%), and around half of the trials compared GT with a placebo (27/50, 54%), while one in four were single-arm (14/50, 28%), and the rest concerned dose-finding (22%). More than half of the trials (29/50, 58%) were funded by industry. Of the 50 clinical trials, 28 (56%) published their results by the data collection date (March 2021), and 22 of 31 (71%) were slated to be completed before 2021. Overall, 12 of 28 (42.9%) clinical trials showed favorable outcomes of the intervention.

CONCLUSIONS

Among noncongenital cardiovascular diseases, GTs are mostly investigated in peripheral artery disease and coronary artery disease. Many clinical trials on GT use in noncongenital cardiovascular diseases did not disclose their results. Regardless of the trial phase, less than half of published studies on GT in noncongenital cardiovascular diseases showed promising results.
SciKit Digital Health: Python Package for Streamlined Wearable Inertial Sensor Data Processing (Preprint)
Authors: Adamowicz Lukas , Christakis Yiorgos , Czech Matthew D , Adamusiak Tomasz
Published: April 2022

UNSTRUCTURED

Wearable inertial sensors are providing enhanced insight into patient mobility and health. Significant research efforts have focused on wearable algorithm design and deployment in both research and clinical settings; however, open-source, general-purpose software tools for processing various activities of daily living are relatively scarce. Furthermore, few studies include code for replication or off-the-shelf software packages. In this work, we introduce SciKit Digital Health (SKDH), a Python software package (Python Software Foundation) containing various algorithms for deriving clinical features of gait, sit to stand, physical activity, and sleep, wrapped in an easily extensible framework. SKDH combines data ingestion, preprocessing, and data analysis methods geared toward modern data science workflows and streamlines the generation of digital endpoints in “good practice” environments by combining all the necessary data processing steps in a single pipeline. Our package simplifies the construction of new data processing pipelines and promotes reproducibility by following a convention over configuration approach, standardizing most settings on physiologically reasonable defaults in healthy adult populations or those with mild impairment. SKDH is open source, as well as free to use and extend under a permissive Massachusetts Institute of Technology license, and is available from GitHub (PfizerRD/scikit-digital-health), the Python Package Index, and the conda-forge channel of Anaconda.
The Design and Assessment of a Internet Hospital in Middle China (Preprint)
Authors: Jin Zhuhua , Yang Lixin , Zeng Zhaobo , Xie Yinghai , Wang Dongming , Zhu Lei
Published: April 2022

BACKGROUND

Chinese government supporting "Internet plus" to play an active role in fulfilling trans-regional flow of high-quality medical resources and improving patients' medical experience, building an online-to-offline integrated medical service model covering pre-diagnosis, in-diagnosis and post-diagnosis.

OBJECTIVE

The present study aimed to describe the functions and technical design of our internet hospital(located in Middle China) and evaluate the effects.

METHODS

With the development of internet technologies, internet hospitals are popular in China to deliver online medical services in order to provide better services to patients. According to government regulations, internet hospitals in China must be supported by offline physical hospitals. Our internet hospital providing services such as online outpatient, online prescription, online payment, medicine delivery, AI guidance, chronic disease management, report query, appointments, door-to-door care and other services, it also providing services such as COVID-19 testing appointments, online healthy code checking, inpatient admitting card management during covid-19 period.

RESULTS

Our internet hospital help to provide online-to-offline medical services, gave great convenience to patients, and improved the quality of medical services,but online outpatients and online prescription is not as much as we predicted.

CONCLUSIONS

From our research, we know online outpatients and online prescription is not as much as we predicted, this may be medical services have it characteristics such as professionalism, actually patients like to use functions such as appointments, online payments and report query, due to the technical complexity and high security requirements of the medical services, internet hospital is more reasonable as a supplement for the offline physical hospital, the online-offline combination may be the trend of internet hospital development.
A Parent-Based Intervention for Reducing High-risk Social Media Cognitions, Alcohol Use, and Negative Consequences Among Adolescents: Protocol for a Randomized Controlled Pilot Study (Preprint)
Authors: Litt Dana M , Geusens Femke , Seamster Abby , Lewis Melissa A
Published: April 2022

BACKGROUND

The prevalence of adolescent alcohol use continues to be a public health concern. Although adolescents spend an increasing amount of time with their friends, parents remain an important source of support and continue to play a key role in the lives of their adolescents. Extensive research in this area has resulted in parent-based intervention (PBI) efforts to prevent or reduce adolescent alcohol use. However, one major limitation of PBIs is that they do not currently consider the large role that social media plays in adolescents’ lives and in relation to their alcohol use. We will add to the literature by developing and refining a web-based PBI designed to reduce both high-risk social media cognitions and alcohol use among adolescents.

OBJECTIVE

The central goal of the proposed study is to develop, refine, and pilot a web-based PBI to reduce both high-risk social media cognitions and alcohol use among adolescents.

METHODS

A total of 100 parent-teen dyads will be randomly assigned to one of the following 2 conditions: intervention or control. Parents in the intervention group will be given access to the web-based PBI and suggestions for working through the PBI modules with their teens. The parent-teen dyads will fill out 3 questionnaires: a baseline questionnaire, 1-month questionnaire, and 6-month questionnaire.

RESULTS

Recruitment and enrollment will begin in August 2022. Upon completion of the intervention trial, we will examine the feasibility, acceptability, and preliminary effect sizes of the newly developed web-based PBI.

CONCLUSIONS

This study has the potential to open doors for future studies examining the clinical implications of an efficacious web-based PBI to reduce alcohol use and high-risk cognitions about alcohol displays on social media.

CLINICALTRIAL

ClinicalTrials.gov NCT04333966; https://clinicaltrials.gov/ct2/show/NCT04333966

INTERNATIONAL REGISTERED REPORT

PRR1-10.2196/38543
Study Protocol: A Mixed-Methods Study for Understanding Racial Disparities in COVID-19-Related Complications (Preprint)
Authors: Harding Jessica , Patel Shivani , Davis Teaniese , Patzer Rachel , McDonald Bennett , Walker-Williams Doraina , Jagannathan ram , Teunis Larissa , Gander Jennifer
Published: April 2022

BACKGROUND

In the United States, the COVID-19 pandemic has magnified the disproportionate and long-standing health disparities experienced by Black communities. Though it is acknowledged that social determinants of health (SDOH), rather than biological factors likely contribute to this disparity, few studies, using rigorous analytic approaches in large, information-rich community-based datasets, are dedicated to understanding the underlying drivers of these racial disparities.

OBJECTIVE

The overall aim of our study is to elucidate the mechanisms with which racial disparities in severe COVID-19 outcomes arise using both quantitative and qualitative methods.

METHODS

In this protocol, we outline a convergent parallel mixed-methods approach to identifying, quantifying, and contextualizing factors that contribute to the dramatic disparity in COVID-19 severity (i.e., hospitalization, mortality) in Black vs. white COVID-19 patients within Kaiser Permanente Georgia’s (KPGA) integrated healthcare system.

To do this, we will generate two quantitative cohorts of KPGA members with a confirmed COVID-19 diagnosis between Jan 1, 2020 and Jun 1, 2021: an electronic medical record cohort (n=34,420) including routinely captured data on diagnoses, medications, and laboratory values; and a survey cohort (n=482) where participants will answer a range of questions related to demographics (e.g., race, education), usual health behaviors (e.g., physical activity, smoking), impact of COVID-19 (e.g., job loss, caregiving responsibilities) and medical mistrust. Key outcomes of interest for these two cohorts include hospitalization, mortality, intensive care unit admission, hospital readmission, and long COVID-19. Finally, we will conduct qualitative semi-structured interviews to capture perceptions of and experiences of being hospitalized with COVID-19 as well as related interactions with KPGA healthcare providers.

We will analyze and interpret quantitative and qualitative data separately, and then integrate the qualitative and quantitative findings using a triangulation design approach.

RESULTS

n/a

CONCLUSIONS

Results from this mixed-methods pilot study in a diverse integrated care setting in the Southeastern U.S. will provide insights into the mechanisms underpinning racial disparities in COVID-19 complications. The quantitative and qualitative data will provide important context to generate hypotheses around the mechanisms for racial disparities in COVID-19, and may help to inform the development of multi-level strategies to reduce the burden of racial disparities in COVID-19 and its ongoing sequalae. Incorporating contextual information, elucidated from qualitative interviews, will increase the efficacy, adoption, and sustainability of such strategies.

CLINICALTRIAL

n/a
Tourism Development of the Cultural Heritage and Archaeological Sites within the National Project for Urban Sustainable Development in Egypt
Authors: A. El Azazy Sabry
Published: April 2022

Egypt is located on the north-eastern side of Africa. Egypt has many archaeological sites classified in the World Heritage List. Tourism development of the Cultural Heritage, historical locations and archeological sites supporting the National Economy and Local Society. Egypt also has a massive number of cultural-historical landmarks and unique architectural constructions such as the great pyramids of Giza, Saqqara, Dahshur and Abusir; the temples of Luxor, Aswan, and Abu Simbel; the valley of the kings, and other extraordinary monumental attractions that worth studying. The study throws light on the tourism development of the Cultural Heritage, historical landmarks, and archeological sites that consider one of the essential resources supporting the National Economy and Local Society. Egypt has always relied on tourism and its historical sights to raise its Economy by developing archaeological sites and historical locations.
“Ver para creer”: cristianismo, fotografía y propaganda. El caso de la Misión Salesiana de Méndez en la amazonia ecuatoriana (1920-1940)
Authors: Troya María Fernanda
Published: April 2022

El caso estudiado, la utilización de fotografías sobre el pueblo shuar en el marco de estrategias de propaganda llevadas a cabo por los sale-sianos durante las primeras décadas del siglo XX, nos permite indagar sobre la relación fundacional que existe entre imagen y palabra, una de las discusiones clave para la antropología de la imagen. Se analiza esta relación a partir del trabajo de Hans Belting intercalado con el pensamiento de los filósofos franceses Marie-José Mondzain y Jacques Rancière. La cuestión del “reparto” de lo visible, en la primera, y de lo sensible, para el segundo, aportan para la comprensión filosófico-crítica de una cierta “economía política” de las imágenes, tema que se complementa con la reflexión de Serge Gruzinski.
El excepcional registro de Agustín Villagra de las pinturas rupestres “Mateo A. Saldaña de Ixtapantongo”
Authors: H. Ibar Iván
Published: April 2022

Las pinturas rupestres de Ixtapantongo se conocen únicamente por el grupo I, sin embargo, Agustín Villagra registró seis grupos pictóricos; en este trabajo mostraré las calcas realizadas por Villagra, además de cinco fotografías tomadas por él en 1953. El arte rupestre del lugar contiene por lo menos cinco estilos, sobresale el estilo polícromo por presentar dioses, ceremonias y sacrificios con características morfológicas y técnicas similares a las de los códices. Expondré las particularidades del lugar y lo que se ha dicho al respecto. Además, se ilustrará la descripción que hizo Villagra del grupo II, con su respectiva calca y el nuevo dibujo derivado del estudio que llevo a cabo. Es la primera ocasión en que se publican las calcas y las fotografías obtenidas por Villagra de este sitio rupestre, acervo custodiado por el Instituto de Investigaciones Estéticas de la Universidad Nacional Autónoma de México.
Máquinas para descomponer la mirada. Estudios sobre la historia de las artes electrónicas en México, de Jesús Fernando Monreal Ramírez
Authors: Gutiérrez Galindo Blanca
Published: April 2022

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Review Paper on Design and Fabrication Emergency Braking System in Four-Wheeler
Authors: Madne A. N. , Bahoriya Ritik , Deshmukh Dhanashree , Soni Pranav , Ashtankar Vinit , Chavan Suraj , Tambade Devansh
Published: April 2022

Abstract: Most people prefer to use cars and four-wheelers for efficient transportation. Vehicle technology is on the rise, especially in braking and detection systems. Vehicles equipped with modern braking technology are designed with a simple collision avoidance system, which will help to detect a possible collision and to apply the emergency brake to avoid it. Such technologies will reduce the number of accidents that cause the most serious damage, serious injury and even death. In this automatic braking system, there is a four-wheeled trolley in which sparse wheels are motorized for the drive wheel. The front wheels have been pivoted for the fasteners. The new friction brakes are designed for emergency braking. The brakes are operated by a motorized mechanism, which is loaded with a spring. Driving is controlled remotely. Two sensors are used for the front and rare to avoid damaging the car when parking. The sensors used are of the capacitive type which can detect both metallic and non-metallic obstacles. Two sensor relays are also used to activate the brake motor when obstacles are detected either in the forward or reverse direction.
Performance Evaluation of Flexible Pavements with Modified Bitumen Binders
Authors: P Praveen Kumar , B V Dr. Kiran Kumar
Published: April 2022

Abstract: In India majority of roads are being constructed by flexible pavements. But the performance of the pavement largely depends on quality and type of materials used, Construction methodology adopted, temperature, climatic conditions etc. Because of these variations in the mentioned parameters, pavements undergo distress/ failure. The different types of failure in flexible pavement are Rutting, Shovelling, Edge breaks, Cracks, Slippage etc. Rutting is a common phenomenon which occurs in flexible pavement surface due to overloading of vehicles and repeated application of wheel load. Rutting is defined as channelized depression in the pavement surface along wheel path due to heavy repetitive traffic load. Design of bituminous paving mixes greatly effects the performance of pavements. In the present laboratory research work, conventional bitumen is used in wearing/ surface course and Modified Bitumen is used in binder course of the layer. Pavement layers are constructed/casted in an Indigenously designed, developed and fabricated equipment called Roller Compactor cum Rut Analyzer (RCRA) and Rutting test was performed. The overall objective is to compare the Marshall properties of the conventional and Modified Bituminous mix and to study the rutting performance of these bituminous mixes. Results shows that bituminous mixes prepared with Modified Bitumen/Binders has a very high Marshall Strength and offers greater resistance to rutting Keywords: Modified Bitumen, Bituminous Concrete (BC), Dense Bituminous Macadam (DBM), Marshall Stability, Roller Compactor cum Rut Analyzer (RCRA), Crumb Rubber Modified Bitumen (CRMB)
Comparing the Performance of SOM with Traditional Methods for Document Clustering Using Wordnet Ontologies
Authors: Sawalkar Abhishek , Mandlecha Mohit , Kulkarni Dnyanesh , Paswan Dr. Ratnamala S.
Published: April 2022

Abstract: Retrieving useful information has become challenging due to the rapid expansion of web material. To improve the retrieval outcomes, efficient clustering methods are required. Document clustering is the process of identifying similarities and differences among given objects and grouping them into clusters with comparable features. We used WordNet lexical as an addition to compare several document clustering techniques in this article. The suggested method employs WordNet to determine the relevance of the concepts in the text, and then clusters the content using several document clustering algorithms (K-means, Agglomerative Clustering, and self-organizing maps). We wish to compare alternative ways for making document clustering algorithms more successful. Keywords: Document clustering, Clustering technique, Self-organizing maps, WordNet, K-means, Hierarchical Clustering.
Networking in Vehicular Ad-Hoc Networks (VANET) for Accident Prevention
Authors: Fernandes Pascoal Daniel , Nachappa Dr. M. N.
Published: April 2022

Abstract: VANET (Vehicular Ad Hoc Network) is an emerging technology for intelligent inter-vehicle communications. It is a specialized derivation of pure multi-hop ad hoc networking that is currently undergoing industrial prototyping; however, the dreamed idea of a general purpose vehicular ad hoc network is still a long way off. For the past few years, vehicular communication has been a hot topic. The VANET objective is to use short-range wireless technology to provide road safety and commercial comfort applications. Many routing protocols have been designed specifically for such networks, with the majority of them attempting to make use of information that may be available at the vehicle by the time a routing choice is required. We have investigated the AODV and GPSR in this study. Keywords: AODV, GPSR, Vehicular Ad Hoc Networks, Ad-Hoc Routing, Routing Protocols.
Design and Fabrication of PET Filament Making Machine
Authors: Dhopte Prof. V. D. , Parate Gaurav S. , Narkhede Madhur P. , Bhongade Aarthav
Published: April 2022

Abstract: 3D printing is a form of additive manufacturing technology where a 3D object is created by laying down successive layers of material. It is mechanized method whereby 3D objects are quickly made on a reasonably sized machine connected to a computer containing blueprints for the object. As 3D printing is growing fast and giving a boost to product development, the factories doing 3D printing need to continuously meet the printing requirements and maintain an adequate amount of inventory of the filament. As the manufactures have to buy these filaments from various vendors, the cost of 3D printing increases. To overcome the problem faced by the manufacturers, small workshop owners, the need of 3D filament making machine arises. This project focuses on designing and fabricating a portable fused deposition 3D printer filament making machine with cheap and easily available components to draw 2 mm diameter ABS filament. Keywords: 3D printing, filament, recycling, PET bottles, machine
Pendampingan Karakter Tanggung Jawab Siswa Melalui Metode Door-To-Door Di SD Negeri Danasri 04 Nusawungu Cilacap
Authors: Nafisha Eka , Arif Dikdik Baehaqi
Published: April 2022

Metode door-to-door dilakukan oleh guru agar bisa berinteraksi dan membimbing peserta didik belajar dari rumah. Tujuan penelitian ini adalah untuk mengetahui pendampingan karakter tanggung jawab siswa melalui metode door-to-door agar dapat membiasakan kegiatan yang dapat membentuk karakter siswa dimana akhir pembelajaran bukanlah semata penguasaan materi pelajaran saja melainkan proses untuk mengubah tingkah laku siswa sesuai dengan tujuan yang akan dicapai. Penelitian ini menggunakan pendekatan kualitatif dengan teknik pengumpulan data menggunakan metode observasi, wawancara dan studi dokumentasi. Hasil penelitian menunjukkan bahwa guru membagi kegiatan pelaksanaan pendampingan karakter tanggung jawab siswa melalui metode door-to-door di sekolah dasar melalui tiga tahapan yaitu kegiatan pendahuluan, kegiatan inti, dan kegiatan penutup. Melaui metode door-to-door dapat memberikan bimbingan berupa pengetahuan kepada peserta didik, dan tidak melupakan tujuan dari akhir pembelajaran bukanlah penguasaan materi pelajaran saja, akan tetapi peserta didik dapat bertanggung jawab dalam membentuk kepribadian peserta didik, pembentukan tatanan perilaku serta penanaman nilai-nilai yang baik kepada peserta didik. Adapun penilaian pendampingan karakter tanggung jawab siswa dengan metode door-to-door yaitu dari segi kognitif, sikap serta guru melakukan penilaian informal dengan melihat siswa mengikuti aktivitas pembelajaran door-to-door
Upaya KPU Kabupaten Sukabumi Dalam Meningkatkan Partisipasi Pemilih Pada Pilkada Di Masa Pandemi Covid-19
Authors: Ilmy Muhammad Irfan , Rahmatunnisa Mudiyati , Hendra Hendra
Published: April 2022

Penelitian ini bertujuan untuk mendeskripsikan dan menganalisa upaya yang dilakukan oleh Komisi Pemilihan Umum Kabupaten Sukabumi dalam meningkatkan partisipasi pemilih di masa pandemi covid – 19. Metode yang di gunakan dalam penelitian ini adalah deskriptif kualitatif, teknik pengumpulan data dilakukan dengan wawancara dan studi dokumentasi. Analisis data dilakukan dengan reduksi data, penyajian data, dan penarikan kesimpulan. Adapun yang menjadi objek penelitian adalah KPU Kabupaten Sukabumi. Hasil penelitian ini menjelaskan bahwa KPU Kabupaten Sukabumi telah melakukan berbagai upaya untuk meningkatkan partisipasi pemilih pada Pemilihan Kepala Daerah Kabupaten di masa pandemi Covid-19, meliputi kampanye informasi dan kampanye iklan berdasarkan segmentasi kelompok sasaran dengan mengoptimalkan metode daring, simulasi Pilkada 2020, pendidikan politik pemilih, mobilisasi sosial dan pemanfaatan jejaring sosial, kegiatan sosialisasi dalam bentuk hiburan berupa kreasi seni melalui perlombaan seperti Sayembara Jingle dan Maskot Pemilihan, Lomba Tari komando dan juga Lomba pembuatan iklan ajakan datang ke TPS, serta penguatan kelembagaan lembaga penyelenggara melalui pembentukan Kelompok Kerja Sosialisasi dan Parmas/Penyuluhan/ Bimbingan Teknis pada Penyelenggaraan Pemilihan Kepala Daerah Kabupaten Sukabumi tahun 2020. Namun upaya tersebut masih belum optimal karena KPU Kabupaten Sukabumi menghadapi beberapa hambatan, yaitu adanya pendemi Covid-19, cuaca hujan dan bencana alam, kondisi geografis yang luas dan sulit dijangkau, jumlah pemilih yang banyak, keterbatasan anggaran, dan kurangnya akses jangkauan internet serta media masa ke pelosok dalam rangka sosilaisasi. Lebih lanjut, KPU Kabupaten Sukabumi juga dinilai belum optimal dalam melakukan upaya peningkatan partisipasi pemilih karena belum mengupayakan rayuan berupa reward atau benefit yang dapat menjadi daya tarik masyarakat untuk memilih.