bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mothers’ daily perceived stress influences their children’s mental health during SARS-CoV-2-pandemic—an online survey
Authors: Köhler-Dauner Franziska , Clemens Vera , Lange Stephanie , Ziegenhain Ute , Fegert Jörg M. 
Published: June 2021

Abstract
Background
The current situation caused by the SARS-CoV-2-pandemic is associated with serious losses for everyone and has been affecting social life, politics, the economy and the media worldwide. Preventive isolation and social distancing strategies have confronted families with a large number of different challenges. The current epidemic and quarantine restrictions have a verifiable influence on the emotional and social development of children and adolescents. During this ongoing situation children of parents, who already were mentally stressed, seem particularly at risk.

Objective
We aimed to assess the role of maternal daily perceived stress on children’s mental health during the SARS-CoV-2-pandemic.

Methods
An online “SARS-CoV-2-pandemic survey” was developed to assess children’s mental health since the beginning of the SARS-CoV-2 pandemic. To describe maternal perceived everyday stress, data from a longitudinal survey was utilized. Our survey includes elements and versions of the Childhood Trauma Questionnaire, the Strengths and Difficulties Questionnaire and the Perceived Stress Scale. We furthermore collected socio-demographic data. Due to our limited dependent variables we applied Tobit models for estimation.

Results
We found a positive and significant effect of the maternal perceived everyday stress on children’s emotional problems during the pandemic. Furthermore, results provide empirical evidence for an increase of the children's hyperactivity level dependent on the mother’s perceived stress before the SARS-COV-2 crisis. We could not find significant effects for the relationship between mother’s perceived everyday stress and the children's behavioral problems.

Conclusions
Analyses illustrate the effects on children's mental distress during everyday life in the SARS-CoV-2 pandemic. Future research needs to identify influencing factors with regard to political, economic and social restrictions, in order to prevent children’s mental health problems.
Geographical information system and spatial–temporal statistics for monitoring infectious agents in hospital: a model using Klebsiella pneumoniae complex
Authors: da Silva Priscila Pinho , da Silva Fabiola A. , Rodrigues Caio Augusto Santos , Souza Leonardo Passos , de Lima Elisangela Martins , Pereira Maria Helena B. , Candella Claudio Neder , de Oliveira Alves Marcio Zenaide , Lourenço Newton D. , Tassinari Wagner S. , Barcellos Christovam , Gomes Marisa Zenaide Ribeiro ,   on behalf of Nucleus of Hospital Research Study Collaborators, Dutra Vitoria Pinson Ruggi , da Silva Maxuel Cassiano , Tonhá João Pedro Silva , de Mello Luciana Sênos , Castro Murillo Marçal , Mathuiy Yann Rodrigues , da Silva Machado Amanda Aparecida 
Published: June 2021

Abstract
Background
The emergence and spread of antimicrobial resistance and infectious agents have challenged hospitals in recent decades. Our aim was to investigate the circulation of target infectious agents using Geographic Information System (GIS) and spatial–temporal statistics to improve surveillance and control of healthcare-associated infection and of antimicrobial resistance (AMR), using Klebsiella pneumoniae complex as a model.

Methods
A retrospective study carried out in a 450-bed federal, tertiary hospital, located in Rio de Janeiro. All isolates of K. pneumoniae complex from clinical and surveillance cultures of hospitalized patients between 2014 and 2016, identified by the use of Vitek-2 system (BioMérieux), were extracted from the hospital's microbiology laboratory database. A basic scaled map of the hospital’s physical structure was created in AutoCAD and converted to QGis software (version 2.18). Thereafter, bacteria according to resistance profiles and patients with carbapenem-resistant K. pneumoniae (CRKp) complex were georeferenced by intensive and nonintensive care wards. Space–time permutation probability scan tests were used for cluster signals detection.

Results
Of the total 759 studied isolates, a significant increase in the resistance profile of K. pneumoniae complex was detected during the studied years. We also identified two space–time clusters affecting adult and paediatric patients harbouring CRKp complex on different floors, unnoticed by regular antimicrobial resistance surveillance.

Conclusions
In-hospital GIS with space–time statistical analysis can be applied in hospitals. This spatial methodology has the potential to expand and facilitate early detection of hospital outbreaks and may become a new tool in combating AMR or hospital-acquired infection.
In-silico evaluation of Malawi essential medicines and reactive metabolites for potential drug-induced toxicities
Authors: Chikowe Ibrahim , Phiri Alfred Chipanda , Mbewe Kirios Patrick , Matekenya Dunstan 
Published: June 2021

Abstract
Background
Drug-induced toxicity is one of the problems that have negatively impacted on the well-being of populations throughout the world, including Malawi. It results in unnecessary hospitalizations, retarding the development of the country. This study assessed the Malawi Essential Medicines List (MEML) for structural alerts and reactive metabolites with the potential for drug-induced toxicities.

Methods
This in-silico screening study used StopTox, ToxAlerts and LD-50 values toxicity models to assess the MEML drugs. A total of 296 drugs qualified for the analysis (those that had defined chemical structures) and were screened in each software programme. Each model had its own toxicity endpoints and the models were compared for consensus of their results.

Results
In the StopTox model, 86% of the drugs had potential to cause at least one toxicity including 55% that had the potential of causing eye irritation and corrosion. In ToxAlerts, 90% of the drugs had the potential of causing at least one toxicity and 72% were found to be potentially reactive, unstable and toxic. In LD-50, 70% of the drugs were potentially toxic.
Model consensus evaluation results showed that the highest consensus was observed between ToxAlerts and StopTox (80%). The overall consensus amongst the three models was 57% and statistically significant (p < 0.05).

Conclusions
A large number of drugs had the potential to cause various systemic toxicities. But the results need to be interpreted cautiously since the clinical translation of QSAR-based predictions depends on many factors. In addition, inconsistencies have been reported between screening results amongst different models.
Successful endovascular stenting of a bleeding external iliac vein mycotic aneurysm in an oncologic patient: a case report
Authors: Parikh Rupal S. , Li Shiyi , Shackles Christopher , Khaddash Tamim 
Published: June 2021

Abstract
Background
Mycotic aneurysms are rare vascular lesions, occurring in 0.6–2% of arterial aneurysms but with no reported venous cases. Venous aneurysms unrelated to an underlying infectious process have been previously described and are typically surgically repaired due to risk of thromboembolic events.

Case presentation
This case reports a bleeding external iliac vein mycotic aneurysm secondary to erosion of a chronic pelvic abscess, successfully treated with endovascular stenting, in an oncologic patient without alternative therapeutic options.

Conclusion
Venous aneurysms are uncommon vascular lesions which have historically been treated with open surgical repair. Given the lower degree of procedural morbidity, endovascular management of these lesions may be an effective option in the appropriate setting, particularly as a last resort in patients without surgical treatment options.
Honeycomb wet scrubber for acidic gas control: modeling and long-term test results
Authors: Le Thi-Cuc , Hong Gung-Hwa , Lin Guan-Yu , Li Ziyi , Pui David Y. H. , Liou Yi-Ling , Wang Bing-Tsai , Tsai Chuen-Jinn 
Published: June 2021

AbstractA laboratory scale, 1.0 CMM (m3 min− 1) wet scrubber packed with water-absorbing honeycomb material (HWS) with a very large geometric surface area of 480 m2 m− 3 and a low pressure drop developed in our previous study was shown to achieve a very high removal efficiency for acidic gases but there were no long-term test data. In this study, the HWS scaled up to operate at a 100 CMM flow rate was tested for removing mixed acidic gases at a semiconductor fab for a very long period of 3.5 yr. Results showed that the removal efficiency for the mixed gases emitted from the fab always maintained as high as > 95% for HF, CH3COOH, HCl, HNO3, HNO2, and H2SO4 with the inlet concentrations ranging from supper-ppmv to sub-ppmv, during a 3.5-yr period. With water jet cleaning of the honeycomb modules once per year, the pressure drop of the HWS remained to be low at 0.5–0.8 cm H2O, indicating minimal scaling in the HWS. Additionally, the predicted height and removal efficiencies of the HWS were very close to the experimental data. The excellent long-term performance of the HWS warrants its potential applications in many areas in which liquid absorption is the preferred treatment method and the theoretical equations can facilitate the design of the HWS.
Right Moments
Authors: Samnotra Manu 
Published: June 2021

AbstractThis essay uses the political writings of Hannah Arendt to explore the virtue of courage. Courage is regarded as a risk taken in the pursuit or defense of some normative end. But what does political courage look like when, as an outgrowth of neoliberal optimism, our sense of the present and the risks it poses to our cherished normative aims is itself dilated? The answer that this essay proposes is that we must think of courage in its relationship to kairos (timeliness). Using Arendt's writings on the pariah tradition, this essay suggests three vectors of timely courage. These are keeping pace with political events as they unfold; withdrawing from political life to care concretely for others; and finally, developing a sensibility for the new through artistic creations that give insights into our shared future.
An anthropomorphic maxillofacial phantom using 3-dimensional printing, polyurethane rubber and epoxy resin for dental imaging and dosimetry
Authors: Badiuk Sawyer Rhae , Sasaki David K , Rickey Daniel W 
Published: June 2021

Objective: The aim of this study was to construct an anthropomorphic maxillofacial phantom for dental imaging and dosimetry purposes using three-dimensional (3D) printing technology and materials that simulate the radiographic properties of tissues. Methods: Stereolithography photoreactive resins, polyurethane rubber and epoxy resin were modified by adding calcium carbonate and strontium carbonate powders or glass bubbles. These additives were used to change the materials’ CT numbers to mimic various body tissues. A maxillofacial phantom was designed using CT images of a head. Results: Commercial 3D printing resins were found to have CT numbers near 120 HU and were used to print intervertebral discs and an external skin for the maxillofacial phantom. By adding various amounts of calcium carbonate and strontium carbonate powders the CT number of the resin was raised to 1000 & 1500 HU and used to print bone mimics. Epoxy resin modified by adding glass bubbles was used in assembly and as a cartilaginous mimic. Glass bubbles were added to polyurethane rubber to reduce the CT number to simulate soft tissue and filled spaces between the printed anatomy and external skin of the phantom. Conclusion: The maxillofacial phantom designed for dental imaging and dosimetry constructed using 3D printing, polyurethane rubbers and epoxy resins represented a patient anatomically and radiographically. The results of the designed phantom, materials and assembly process can be applied to generate different phantoms that better represent diverse patient types and accommodate different ion chambers.
Clinical trials for treatment or prevention of COVID-19. A review of Clinicaltrials.gov.
Authors: Fors Martha , González Paloma 
Published: June 2021

Background: Coronavirus disease 2019 (COVID-19) has rapidly progressed into the worst pandemic in recent years. There are currently no approved therapies to treat the disease. Several clinical trials are being conducted to evaluate therapeutic approaches. Methods: We conducted a cross-sectional descriptive study to examine the main characteristics of COVID-19-related clinical interventional trials registered with ClinicalTrials.gov from January to March 27th, 2020. . Results: We included 519 trials, 57.6% were phase II or III, open-label and randomized trials. Disease treatment was evaluated in 75.5% of trials, while prevention was evaluated in 12.1%. A total of 243 trials were listed as recruiting, and 42.4% were not yet recruiting. Approximately 20% of the analyzed trials are investigating antimalarial agents, while 10.2% are studying the use of convalescent plasma to treat the disease. Antiretrovirals, monoclonal antibodies, the use of stem cells, nitric oxide gases and vaccines are the most commonly evaluated therapies. As of the publication of this review, none of the clinical trials had uploaded results. Conclusions: ClinicalTrials.gov is an important database that contains ongoing research trials on COVID-19This study quantifies the outcomes of COVID-19-related clinical trials. More than 500 studies have been analyzed finding that most of these studies are interventional clinical trials Phase II or III evaluating drugs or biological agents for the prevention or treating COVID-19.
High flow nasal oxygen for acute type two respiratory failure: a systematic review
Authors: Alnajada Asem Abdulaziz , Blackwood Bronagh , Mobrad Abdulmajeed , Akhtar Adeel , Pavlov Ivan , Shyamsundar Murali 
Published: June 2021

Background: Acute type two respiratory failure (AT2RF) is characterized by high carbon dioxide levels (PaCO2 >6kPa). Non-invasive ventilation (NIV), the current standard of care, has a high failure rate. High flow nasal therapy (HFNT) has potential additional benefits such as CO2 clearance, the ability to communicate and comfort. The primary aim of this systematic review is to determine whether HFNT in AT2RF improves 1) PaCO2, 2) clinical and patient-centred outcomes and 3) to assess potential harms. Methods: We searched EMBASE, MEDLINE and CENTRAL (January 1999-January 2021). Randomised controlled trials (RCTs) and cohort studies comparing HFNT with low flow nasal oxygen (LFO) or NIV were included. Two authors independently assessed studies for eligibility, data extraction and risk of bias. We used Cochrane risk of bias tool for RCTs and Ottawa-Newcastle scale for cohort studies. Results: From 727 publications reviewed, four RCTs and one cohort study (n=425) were included. In three trials of HFNT vs NIV, comparing PaCO2 (kPa) at last follow-up time point, there was a significant reduction at four hours (1 RCT; HFNT median 6.7, IQR 5.6 – 7.7 vs NIV median 7.6, IQR 6.3 – 9.3) and no significant difference at 24-hours or five days. Comparing HFNT with LFO, there was no significant difference at 30-minutes. There was no difference in intubation or mortality. Conclusions: This review identified a small number of studies with low to very low certainty of evidence. A reduction of PaCO2 at an early time point of four hours post-intervention was demonstrated in one small RCT. Significant limitations of the included studies were lack of adequately powered outcomes and clinically relevant time-points and small sample size. Accordingly, systematic review cannot recommend the use of HFNT as the initial management strategy for AT2RF and trials adequately powered to detect clinical and patient-relevant outcomes are urgently warranted.
Characterization of SARS-CoV-2 East Java isolate, Indonesia
Authors: Rantam Fedik Abdul , Prakoeswa Cita Rosita Sigit , Tinduh Damayanti , Nugraha Jusak , Susilowati Helen , Wijaya Andi Yasmin , Puspaningsih Ni Nyoman Tri , Puspitasari Dwiyanti , Husada Dominicus , Kurniati Neneng Dewi , Aryati Aryati 
Published: June 2021

Background: Incidents of SARS-CoV-2 in East Java increased steadily, and it became the second epicenter in Indonesia. The COVID-19 pandemic caused a dire multisectoral crisis all around the world. This study investigates and characterizes local isolates from East Java, Indonesia. Methods: There were 54 patients suspected with SARS-COV-2 infection and 27 patients were COVID-19 positive. Virus isolates were obtained from COVID-19 inpatients’ nasopharyngeal swabs at the Dr Soetomo Teaching Hospital, Surabaya. There were only three isolates (#6, #11, #35) with good growth characteristics. Serial blind passage and cytopathic effect observation in the Vero E6 cell line were performed for virus isolation. Confirmation of the SARS-CoV-2 infection was proven by means of reverse transcriptase-polymerase chain reactions using SARS-CoV-2 specific primers, scanning electron microscopy, and scanning transmission electron microscopy examination. Whole genome sequencing was performed using ARTIC protocol. Furthermore, SARS-CoV-2 characterization was identified through a western blot using rabbit serum immunized with inactive SARS-CoV-2 vaccine and human natural COVID-19 infection serum. Results: Spike gene analysis of three samples (#6, #11, #35) found that the D614G mutation was detected in all isolates, although one isolate exhibited the D215Y and E484D mutation. Based on whole genome analysis, those three isolates were included in clade 20A, and two isolates were included in lineage B.1.6 with one isolate belongs to lineage B.1.4.7. Conclusion: Based on molecular characterization and immunogenicity of SARS-CoV-2 East Java, Indonesia showed high titer and it has mutation in some regions.
Fluoxetine pharmacokinetics and tissue distribution suggest a possible role in reducing SARS-CoV-2 titers
Authors: Eugene Andy R. 
Published: June 2021

Background. Recent in vitro studies have shown fluoxetine inhibits the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pathogen, including variants B.1.1.7 and B.1.351, SARS-CoV-2 spike mutations (E484K, K417N, N501Y), and one retrospective clinical study reported fluoxetine exposure at a median dose of 20 mg in patients with the SARS-CoV-2 coronavirus disease 2019 (COVID-19) had a significantly lower risk of intubation and death. The aim of this study is to conduct in silico population pharmacokinetic dosing simulations to quantify the percentage of patients achieving a trough level for the effective concentration resulting in 90% inhibition (EC90) of SARS-CoV-2 as reported in Calu-3 human lung cells. Methods. Population pharmacokinetic parameter estimates for a structural one-compartment model with first-order absorption were used to simulate fluoxetine pharmacokinetic data. A population of 1,000 individuals were simulated at standard fluoxetine doses (20 mg/day, 40 mg/day, and 60 mg/day) to estimate the percentage of the patients achieving a trough plasma level for the EC90 SARS-CoV-2 inhibitory concentration for a 10 day treatment period. All analyses were conducted via statistical programming in R. Results. Standard fluoxetine antidepressant doses resulted in a range of 81% to 97% of the patient population achieving a trough target plasma concentration of 23.2 ng/ml at day 10 and translates to a lung-tissue distribution coefficient of 60-times higher (EC90 of 4.02 mM). At a dose of 40 mg per day, at least 87% of patients will reach the trough target EC90 concentration within three days. Conclusion. Overall, the findings of this population pharmacokinetic dosing study corroborates in vitro and observational clinical studies reporting the first selective serotonin reuptake inhibitor fluoxetine inhibits the SARS-CoV-2 pathogen at commonly treated doses in the practice of psychiatry.
Factors influencing COVID-19 vaccine acceptance in Indonesia: an adoption of Technology Acceptance Model
Authors: Faturohman Taufik , Kengsiswoyo Giofella Adesta Navaky , Harapan Harapan , Zailani Suhaiza , Rahadi R. Aswin , Arief Neneng Nurlaela 
Published: June 2021

Background: It is critical to understand the factors that could affect the acceptance of the coronavirus disease 2019 (COVID-19) vaccine in the community. The aim of this study was to determine factors that could possibly affect the acceptance of Indonesian citizens of COVID-19 vaccination. Methods: An online survey was conducted between the first and fifth of November, 2020. Participants were asked to respond to questions on acceptance, perceived usefulness, perceived ease of use, perceived religiosity towards, and amount of information about COVID-19. This study used the Technology Acceptance Model (TAM) as the framework to decide factors that affect vaccine acceptance. Structural Equation Model was employed to assess the correlation between all explanatory variables and vaccine acceptance. Mann-Whitney test and Kruskal-Wallis rank were employed to assess demographic factors associated with acceptance. Results: In total, 311 responses were included for analysis. Our TAM model suggested that high perceived usefulness significantly increased COVID-19 vaccine acceptance and high perceived ease of use significantly increased the perceived usefulness. Perceived religiosity did not substantially affect vaccine acceptance. The amount of information on COVID-19 also did not significantly affect vaccine acceptance. Our data suggested that vaccine acceptance was associated with age, type of occupation, marital status and monthly income to some degree. Conclusion: Since perceived usefulness affects vaccine acceptance, the government should focus on the usefulness of the vaccine when promoting the COVID-19 vaccine to Indonesian citizens. In addition, since perceived ease of use significantly affects users’ acceptance to COVID-19 vaccine, the easier to acquire the vaccine in the community, the higher chance that the citizens are willing to be vaccinated.
The balancing act: A qualitative study on remote work and childcare during the COVID-19 lockdown in South Africa
Authors: Scholtz Salome 
Published: June 2021

Background: The coronavirus disease 2019 (COVID-19) pandemic has impacted many employees' world by forcing some to remote work whilst also caring for children. Methods: This study explored the remote working experiences of child caregivers in balancing work and childcare during the South African COVID-19 lockdown period (from 26 March 2020 to 31 December 2020). A qualitative descriptive design was employed to collect data through an online qualitative questionnaire with semi-structured questions. A final sample of 22 participants was included using purposive and snowball sampling. Results: Findings indicate that employees experienced difficulty balancing work and childcare, which prompted them to use personal and organisational resources to restore work-life balance. These resources included people, spaces and time. Conclusions: This study provides insight for employers and healthcare workers into how remote workers balanced work and childcare and can promote conversations or interventions on improving employee remote work experiences - especially in the unique South African context.