bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of Coronavirus Pandemic on Immunocompromised Patients
Authors: Vijayan Rupalakshmi , Zulfiqar Ayesha , Nunes Fernanda Rodrigues Carlos , Bueno Pedro Gabriel Paiva , Nagpal Shavy , Ambadapoodi Raghava , Rahman China , Islam Samia , Lippmann Steve 
Published: March 2023

Background: The coronavirus (COVID-19) pandemic has been stressful for everyone across the globe and even more so for the immunocompromised population, bringing with it an enormous emotional impact on their lives. Fear and anxiety regarding this novel disease created a state of panic among the public. The aim was to review published cases of COVID-19 and to discuss pandemic related anxiety and stress in immunocompromised populations and describe their presentations, diagnostic processes, clinical characteristics and outcomes.
Methods: Using specific keywords, a review of scientific literature was conducted in databases such as PubMed, Google Scholar including systematic reviews, meta-analysis, case series, and case reports. Of 35 articles, 22 studies were reviewed.
Results: Of the 22 studies involved, a few of the studies had significant data. Among 603 ovarian cancer patients, 88.6% were worried, 51.4% anxious, and 26.5% depressed due to COVID-19 related delay in care. Among 167 people living with HIV patients, 25% reported generalized anxiety disorder. In another cross-sectional study with 500 respondents, anxiety (aOR = 1.73; 95% CI, 1.25–2.40, p-value = 0.001), depression and anxiety (aOR = 1.80; 95% CI, 1.28–2.53, p-value <0.001), and mental health deterioration (aOR = 1.94; 95% CI, 1.48–2.55, p-value <0.001) on basis of fear of the COVID pandemic was noted.
Conclusion: As a conclusion, these articles demonstrated that patients with immunocompromised states had more symptoms of anxiety and fear as compared to the immunocompetent patients. Most of the patients had concerns of fear about future health implications, concern over social implications, and possible financial difficulties encountered and remained infectious for a longer duration with severe anxiety symptoms.
Water quality assessment and reuse potential of groundwater combined saline solution for irrigation
Authors: Abdessattar Ammari , Kateb Samir 
Published: March 2023

Abstract
This study aims to evaluate the water quality and reuse potential of groundwater combined with a saline solution for irrigation. The brine dilution process was done by adding groundwater by determining the total dissolved salts (TDS) value according to the irrigation criteria and then by calculating the amount of groundwater to be added using the law of concentrations to obtain the water mixture, as the TDS value decreased from 4922 and 3810 mg/l to 2587 and 2200 mg/l, respectively. The assessment aimed to determine the suitability of the water for irrigation, and the quality indices used were sodium adsorption ratio, magnesium hazard ratio percentage, sodium percentage, residual sodium carbonate, permeability index, Kelly index, and irrigation water quality index. The results indicated that the water after mixing is suitable for irrigation. The USSL diagram was used to evaluate the post-mixing water at two stations, Touggourt and El-Oued, and the results showed that the post-mixing water at Touggourt falls in the C4–S1 group (extremely high salinity with low sodium), and the post-mixing water at El-Oued falls in the C4–S2 group (very high salinity with medium sodium).
Identifying the a priori time-to-failure distribution of unique highly vital elements using the expert method
Authors: Bochkov A. V. 
Published: March 2023

Abstract. Aim. Systematic failures, unlike random hardware failures, cannot be described using the mathematics of the probability theory and the dependability theory. However, such failures are the biggest problem due to their unpredictability. In the case of describing systematic failures of unique highly vital systems, a solution is presented by an approach that involves taking into account the quantitative criteria of functional performance of a facility in time that are defined, for example, by prescribing a set of parameters for each function that characterize its ability to perform, as well as acceptable limits for such parameters’ variation. The paper aims to develop an approach to the use of expert evaluation for the purpose of identifying the type and parameters of the distribution of the time to failure of unique highly vital elements. The author examined an approach to determining the a priori distribution of the time to failure of unique highly vital elements by pairwise comparison that would be useful for improving the accuracy of their dependability indicators.Methods. Hierarchy analysis, fuzzy logic and permutation theory were used. Fuzzy variables were introduced, the degrees of belonging to which are interpreted as subjective probabilities of the time to failure and its characteristics within different time intervals. Methods were proposed for accounting for the accuracy of expert evaluation and for solving the cluster sampling problem.
A conservative method for estimating the uncertainty for the probability of an upper-level event in a fault tree
Authors: Chepurko V. A. , Pavlov A. S. , Chernyaev A. N. 
Published: March 2023

Abstract. Aim. The aim of the paper is to construct a non-simulation method for finding the confidence interval for the probability of an upper-level event of a failure tree. Iterative Monte Carlo algorithms require very much time and computational resources, especially for large fault trees. Therefore, developing “fast” algorithms for finding uncertainty in a calculated fault tree is extremely important.Methods. The algorithm was developed using classical methods of the probability theory, mathematical statistics and dependability theory. The mathematical foundation of the algorithm is the central limit theorem and certain properties of the dispersion of a random variable from the probability theory. To simplify calculations, the confidence interval was built on the assumption of a lognormal distribution of the failure rate estimate with a certain specified error factor. The initial information consists of a set of minimal cross-sections defined for the fault tree using specialized software tools, as well as dependability parameters of the events in each of the cross-sections. The cross-sections may contain dependent events that are part of common cause failure (ССF) groups. Various ССF accounting models, including the betafactor model, alpha-factor model, etc., can be used to calculate the probability of such events. To simplify the set of cross-sections, a program code is used that groups the cross-sections that are identical in value and meaning. Results. A conservative method for constructing a confidence interval for the probability of an upper-level event in a fault tree was developed. The method is not iterative and allows identifying the uncertainty of the final result for randomly-sized fault trees.Conclusions. The algorithm for identifying the uncertainty can be used instead of the Monte Carlo method in specialized software suites that calculate fault trees.
Variational criterion of evenness
Authors: Volovik A. V. 
Published: March 2023

Abstract. Aim. The author has developed a criterion to test the hypothesis of a uniform distribution for random variable observations in small samples. The criterion is built by using sample observations to construct a variation series in ascending order and dividing each previous term of this series by the extreme term, then discarding it. The resulting new variation series is processed similarly until there is only one quotient left that is the criterion value.Methods. The paper uses methods of the probability theory and mathematical statistics.Results. The suggested criterion is sufficiently efficient for distinguishing between samples of minimal size for statistically similar hypotheses, such as the hypothesis of a uniform distribution law and the hypothesis of a beta distribution of the first kind.Conclusions. The approach suggested in the paper makes it quite simple to implement the sequential analysisprocedure (detection of a “dissonance” in a process). Such a procedure allows detecting a “dissonance” (deviation of the distribution of observations from the uniform law) with a practically sufficient rate.
Induced Pluripotent Stem Cells in the Era of Precise Genome Editing
Authors: Punetha Meeti , Saini Sheetal , Chaudhary Suman , Yadav Prem Singh , Whitworth Kristin , Green Jonathan , Kumar Dharmendra , Kues Wilfried A. 
Published: March 2023

Abstract:
Genome editing has enhanced our ability to understand the role of genetics in a number of
diseases by facilitating the development of more precise cellular and animal models to study pathophysiological
processes. These advances have shown extraordinary promise in a multitude of areas, from basic
research to applied bioengineering and biomedical research. Induced pluripotent stem cells (iPSCs) are
known for their high replicative capacity and are excellent targets for genetic manipulation as they can be
clonally expanded from a single cell without compromising their pluripotency. Clustered, regularly interspaced
short palindromic repeats (CRISPR) and CRISPR/Cas RNA-guided nucleases have rapidly become
the method of choice for gene editing due to their high specificity, simplicity, low cost, and versatility.
Coupling the cellular versatility of iPSCs differentiation with CRISPR/Cas9-mediated genome editing
technology can be an effective experimental technique for providing new insights into the therapeutic use
of this technology. However, before using these techniques for gene therapy, their therapeutic safety and
efficacy following models need to be assessed. In this review, we cover the remarkable progress that has
been made in the use of genome editing tools in iPSCs, their applications in disease research and gene
therapy as well as the hurdles that remain in the actual implementation of CRISPR/Cas systems.
World’s First Experience of the Low-Dose Radionuclide Inhalation Therapy in the
Treatment of COVID-19-Associated Viral Pneumonia: Phase 1/2 Clinical Trial
Authors: Shegay Peter , Leontyev Alexey , Baranovskii Denis , Davydov German , Poluektova Marina , Grivtsova Lyudmila , Petriev Vasily , Stepanenko Valeriy , Gulidov Igor , Krylov Valeriy , Osadchaya Svetlana , Petrov Vladimir , Sedova Maria , Vekilyan Mikhail , Krasilnikova Olga , Morozov Sergey , Ivanov Sergey , Klabukov Ilya , Kaprin Andrey 
Published: March 2023

Objective:
Previously, low-dose radiation therapy was
used for pneumonia treatment. We aimed to investigate the safety
and effectiveness of carbon nanoparticles labeled with Technetium
isotope (99mTc) in a form of ultradispersed aerosol in combination
with standard COVID-19 therapy. The study was a randomized
phase 1 and phase 2 clinical trial of low-dose radionuclide inhalation
therapy for patients with COVID-19 related pneumonia.

Methods:
We enrolled 47 patients with confirmed COVID-19 infection
and early laboratory signs of cytokine storm and randomized
them into the Treatment and Control groups. We analyzed
blood parameters reflecting the COVID-19 severity and inflammatory
response.

Results:
Low-dose 99mTc-labeled inhalation showed a minimal
accumulation of radionuclide in lungs in healthy volunteers. We
observed no significant differences between the groups before
treatment in WBC-count, D-dimer, CRP, Ferritin or LDH levels.
We found that Ferritin and LDH levels significantly raised after the
7th day follow-up only in the Control group (p < 0.0001 and p =
0.0005, respectively), while mean values of the same indicators did
not change in patients in the Treatment group after the radionuclide
treatment. D-dimer values also lowered in the radionuclide treated
group, however, this effect was not statistically significant. Furthermore,
we observed a significant decrease in CD19+ cell counts
in patients of the radionuclide-treated group.

Conclusion:
Inhalation low-dose radionuclide therapy of 99mTc
aerosol affects the major prognostic indicators of COVID-19-
related pneumonia restraining inflammatory response. Overall, we
identified no evidence of major adverse events in the group receiving
radionuclide.
Modulatory Effects of Mangiferin Isolated from Aquilaria Plants on
Human Cytochrome P450 Enzyme (CYP) Activities In vitro and In silico
Studies
Authors: Pan Yan , Jagadish Premika , Tze Ung Yee , Ming Sharoen Lim Yu , Hon Lim Kuan , Siau Ee Jason Loo , Pung Yuh Fen , Sadeque Chowdhury Lamia Noushin , Tao Shang 
Published: March 2023

Background:
Mangiferin has been identified as one of the major active constituents of Aquilaria
plants. It was reported to have several promising chemotherapeutic potentials. Our preliminary data
suggested that Aquilaria plant water extracts inhibited several cytochrome P450 (CYP) isoenzymes in
vitro.

Objective:
This study aimed to investigate the modulatory effects of mangiferin on six major drug metabolizing
CYP enzymes including CYP2A6, CYP2B6, CYP2C9, CYP2D6, CYP3A4, and CYP3A5.

Methods:
The enzyme activities were measured using fluorescence-based assays and enzyme kinetic such
as IC50 parameters and Ki values were calculated to evaluate inhibitory potencies and mechanisms. Moreover,
for potent inhibitions, molecular docking studies were carried out to explore potential interactions of
residues between mangiferin and CYP enzymes.

Results:
Our findings suggested that mangiferin could inhibit CYP2D6, CYP3A4, and CYP3A5 in vitro
with IC50 values of 9.2, 8.7, and 4.3 μM, and Ki values of 3.8, 10.8, and 9.6 μM, in a non-competitive
inhibition pattern. Molecular docking studies using AutoDock 4.2 identified potential residues contained
in mangiferin that interacted with CYP2D6, CYP3A4, and CYP3A5, resulting in the observed inhibitory
effects.

Conclusion:
Mangiferin should be used carefully, in particular, with conventional drugs metabolized
mainly by CYP2D6, CYP3A4, and CYP3A5. Further in vivo studies are recommended to evaluate the
clinical relevance of these inhibitions.
Zmiany infrastruktury społecznej w województwie mazowieckim w latach 2005–2020
Authors: Chmielewska Barbara 
Published: March 2023

W artykule przedstawiono stan infrastruktury społecznej na obszarach wiejskich w województwie mazowieckim oraz zmiany jakie nastąpiły po akcesji Polski do Unii Europejskiej. Artykuł przedstawia badania identyfikacji obszarów, które mają utrudniony dostęp do podstawowych usług społecznych, jak m.in. do opieki zdrowotnej, pomocy społecznej, edukacji, kultury, cyfryzacji. Jest to badanie realizowane w zadaniu 3 pt. „Opracowanie idei Smart Villages Mazowsza”, w ramach przedsięwzięcia pn. „Wdrażanie koncepcji Smart Villages na terenie województwa mazowieckiego”, finansowanego przez Samorząd Województwa Mazowieckiego. W efekcie integracji Polski z UE nastąpił rozwój infrastruktury technicznej i społecznej na terenach wiejskich. Warunki życia na wsi stały się podobne do miejskich. Poprawa infrastruktury społecznej przyczyniła się do ograniczenia migracji ze wsi do miast, zwłaszcza ludzi młodych i zachowania żywotności na obszarach wiejskich. Przedstawiono ogólną charakterystykę obszarów wiejskich w województwie mazowieckim, sytuację demograficzną i na rynku pracy. Przyjęto następujące grupy wskaźników infrastruktury społecznej: ochrona zdrowia, usługi opiekuńcze, edukacja, kultura. Analizą objęto lata: 2005–2020. W tym okresie na obszarach wiejskich w województwie mazowieckim nastąpiła poprawa infrastruktury społecznej. Na wsi wzrosła liczba przychodni lekarskich, domów pomocy społecznej, przedszkoli, instytucji kultury. Mimo to, nadal dostęp do usług społecznych na wsi jest bardziej utrudniony niż w mieście. Słowa kluczowe: obszary wiejskie, infrastruktura społeczna, województwo mazowieckie
Characterization of Self-reported Improvements in Knowledge and Health Among Users of Flo Period Tracking App: Cross-sectional Survey
Authors: Zhaunova Liudmila , Bamford Ryan , Radovic Tara , Wickham Aidan , Peven Kimberly , Croft Jazz , Klepchukova Anna , Ponzo Sonia 
Published: March 2023

Background
Research shows that poor knowledge and awareness of menstrual and pregnancy health among women are associated with adverse reproductive health and pregnancy outcomes. Menstrual cycle– and pregnancy-tracking mobile apps are promising tools for improving women’s awareness of and attitudes toward their reproductive health; however, there is little information about subscribers’ perceptions of app functionality and its impact on their knowledge and health.

Objective
This study aimed to explore knowledge and health improvements related to menstrual cycle and pregnancy, as well as improvements in general health among Flo app users. We also investigated what components of the Flo app were associated with the abovementioned improvements and evaluated whether those improvements differed based on education level, country of residence (low- and middle-income vs high-income countries), free or premium subscription to the app, short- or long-term use of the app, and frequency of use.

Methods
Flo subscribers who had been using the app for no less than 30 days, completed a web-based survey. A total of 2212 complete survey responses were collected. The survey included demographic questions and questions about motivations guiding the use of the Flo app and which components of the app improved their knowledge and health, as well as to what extent.

Results
Most study participants reported improvements in menstrual cycle (1292/1452, 88.98%) and pregnancy (698/824, 84.7%) knowledge from Flo app use. Participants with higher levels of education and those from high-income countries reported using the app predominantly for getting pregnant (χ21=4.2, P=.04; χ21=52.3, P<.001, respectively) and pregnancy tracking (χ21=19.3, P<.001; χ21=20.9, P=.001, respectively). Participants with less education reported using the app to avoid pregnancy (χ21=4.2; P=.04) and to learn more about their body (χ21=10.8; P=.001) and sexual health (χ21=6.3; P=.01), while participants from low- and middle-income countries intended to mainly learn more about their sexual health (χ21=18.2; P<.001). Importantly, the intended use of the app across education levels and country income levels matched areas in which they had gained knowledge and achieved their health goals upon use of the Flo app. Period, fertile days, and ovulation predictions as well as symptom tracking were consistently the top 3 components in the app that helped users with their cycle knowledge and general health. Reading articles or watching videos helped with users' education regarding their pregnancy. Finally, the strongest improvements in knowledge and health were observed in premium, frequent, and long-term users.

Conclusions
This study suggests that menstrual health apps, such as Flo, could present revolutionary tools to promote consumer health education and empowerment on a global scale.
Participatory Surveillance for COVID-19 Trend Detection in Brazil: Cross-sectional Study
Authors: Wittwer Salome , Paolotti Daniela , Lichand Guilherme , Leal Neto Onicio 
Published: March 2023

Background
The ongoing COVID-19 pandemic has emphasized the necessity of a well-functioning surveillance system to detect and mitigate disease outbreaks. Traditional surveillance (TS) usually relies on health care providers and generally suffers from reporting lags that prevent immediate response plans. Participatory surveillance (PS), an innovative digital approach whereby individuals voluntarily monitor and report on their own health status via web-based surveys, has emerged in the past decade to complement traditional data collection approaches.

Objective
This study compared novel PS data on COVID-19 infection rates across 9 Brazilian cities with official TS data to examine the opportunities and challenges of using PS data, and the potential advantages of combining the 2 approaches.

Methods
The TS data for Brazil are publicly accessible on GitHub. The PS data were collected through the Brazil Sem Corona platform, a Colab platform. To gather information on an individual’s health status, each participant was asked to fill out a daily questionnaire on symptoms and exposure in the Colab app.

Results
We found that high participation rates are key for PS data to adequately mirror TS infection rates. Where participation was high, we documented a significant trend correlation between lagged PS data and TS infection rates, suggesting that PS data could be used for early detection. In our data, forecasting models integrating both approaches increased accuracy up to 3% relative to a 14-day forecast model based exclusively on TS data. Furthermore, we showed that PS data captured a population that significantly differed from a traditional observation.

Conclusions
In the traditional system, the new recorded COVID-19 cases per day are aggregated based on positive laboratory-confirmed tests. In contrast, PS data show a significant share of reports categorized as potential COVID-19 cases that are not laboratory confirmed. Quantifying the economic value of PS system implementation remains difficult. However, scarce public funds and persisting constraints to the TS system provide motivation for a PS system, making it an important avenue for future research. The decision to set up a PS system requires careful evaluation of its expected benefits, relative to the costs of setting up platforms and incentivizing engagement to increase both coverage and consistent reporting over time. The ability to compute such economic tradeoffs might be key to have PS become a more integral part of policy toolkits moving forward. These results corroborate previous studies when it comes to the benefits of an integrated and comprehensive surveillance system, and shed light on its limitations and on the need for additional research to improve future implementations of PS platforms.
Hermeneutic Epistemology (Comparative Study of Deconstruction of Derrida and Manhaj Tafsir Muhammadiyah)
Authors: Hamdani Fitrah 
Published: March 2023

The development of qur'anic interpretation has had its ups and downs, especially during the inclusion of the role of reason in the tradition of classical interpretation. Initially, reason was used as an aid in the process of berijtihad, in order to find common ground between the text and the context so that the resulting meaning would correspond to what was needed. The use of reason will always have to do with the adoption of science. Through this process, approaches that are considered foreign (outside of Islam) are included as a logical consequence that Muslims must face. Such as the inclusion of hermeneutics as an approach in understanding the text of the Qur'an.Based on these conditions, this paper tries to compare the hermeneutics of Derrida's deconstruction with the interpretive manhaj in Muhammadiyah through the frame of productive reading. This paper does not discuss hermeneutics as a concept of interpretation in general, but hermeneutics is seen through Derrida's theory of deconstruction.This paper the author will use a comparative method by trying to compare Derrida's deconstruction theory at the stage of thinking in deconstruction with the manhaj system in Muhammadiyah with the aim of getting a clear picture of the epistemological basis of each approach in interpreting the text. Keywords: Hermeneutics, Deconstruction and Manhaj Tarjih