bluuebunny/crossref_metadata_2025_split huggingface dataset:
Could the candidate causal gene (LZTFL1) identified by Oxford University scientists, which doubles the risk of COVID-19-related respiratory failure, be used to boost the Weak immunogenicity of COVID-19 mRNA vaccines in patients with B-cell chronic lymphocytic leukemia (CLL)???. A double edged sward
Authors: Elkazzaz Mahmoud Ramadan , Abo-Amer Yousry Esam-Eldin , Ahmed Amr , Haydara Tamer 
Published: November 2021

Abstract
Patients with B-cell chronic lymphocytic leukemia (CLL) have an increased risk of severe infections due to disease- and treatment-related immunodeficiency. As a result, patients with hematologic malignancies have been given priority for primary COVID-19 vaccination. Unfortunately, many studies have suggested that patients with B-cell chronic lymphocytic leukemia (CLL) who have been fully vaccinated can develop severe and often fatal complications. Therefore, adjuvants that can induce mRNA vaccine efficacy are desperately needed for this category of patients with haematological malignancies. A recent, study by Oxford University scientists showed that leucine zipper transcription factor-like 1(LZTFL1), as a candidate causal gene and its enhancer the rs17713054 A risk allele was significantly responsible for the twofold increased risk of respiratory failure from COVID-19 associated with 3p21.31.By using sequence analysis, the risk allele generates a second CCAAT/enhancer binding protein beta (CEBPB) motif in the enhancer. Moreover, neither LZTFL1 variants found in T cells nor B cells are responsible for increasing death risk from COVID-19 infection according to oxford study. Here, we propose attestable hypothesis that trans retinoic acid could enhance the immune response in vaccinated patients with B-cell chronic lymphocytic leukemia (CLL) according to the recent findings of Oxford scientists by inducing the casual gene(LZTFL1) in CD4 T cells and inhibiting (CEBPB) motif.
Could the candidate causal gene (LZTFL1) identified by Oxford University scientists, which doubles the risk of COVID-19-related respiratory failure, be used to boost the Weak immunogenicity of COVID-19 mRNA vaccines in patients with B-cell chronic lymphocytic leukemia (CLL)???. A double edged sward
Authors: Elkazzaz Mahmoud Ramadan , Abo-Amer Yousry Esam-Eldin , Ahmed Amr , Haydara Tamer 
Published: November 2021

Abstract
Patients with B-cell chronic lymphocytic leukemia (CLL) have an increased risk of severe infections due to disease- and treatment-related immunodeficiency. As a result, patients with hematologic malignancies have been given priority for primary COVID-19 vaccination. Unfortunately, many studies have suggested that patients with B-cell chronic lymphocytic leukemia (CLL) who have been fully vaccinated can develop severe and often fatal complications. Therefore, adjuvants that can induce mRNA vaccine efficacy are desperately needed for this category of patients with haematological malignancies. A recent, study by Oxford University scientists showed that leucine zipper transcription factor-like 1(LZTFL1), as a candidate causal gene and its enhancer the rs17713054 A risk allele was significantly responsible for the twofold increased risk of respiratory failure from COVID-19 associated with 3p21.31.By using sequence analysis, the risk allele generates a second CCAAT/enhancer binding protein beta (CEBPB) motif in the enhancer. Moreover, neither LZTFL1 variants found in T cells nor B cells are responsible for increasing death risk from COVID-19 infection according to oxford study. Here, we propose attestable hypothesis that trans retinoic acid could enhance the immune response in vaccinated patients with B-cell chronic lymphocytic leukemia (CLL) according to the recent findings of Oxford scientists by inducing the casual gene(LZTFL1) in CD4 T cells and inhibiting (CEBPB) motif.Conclusions Haematological malignancies (blood cancers) patients are more vulnerable to COVID-19 disuse severity and mortality. Un fortunately mRNA vaccine seem to be less effective with weak immune response and insufficient level of generated antibodies in this category of patients. Therefore we suggest all trans retinoic acid is a good candidate as mRNA COVID-19 vaccine adjuvant via inducing LZTFL1 gene in CD4Tcells and this activation could improve the immune response and increase the level of the generated antibodies. Moreover LZTFL1 gene in CD4 T cells is not associated with increasing risk of COVID-19 infection because of absence of its enhancer(The risk allele of the SNP, rs17713054 A) in immune cells according to oxford recent study. In addition to all trans retinoic acid could inhibit CCAAT/enhancer binding protein beta motif that is generated by The risk allele of the SNP, rs17713054 A
Tree Diet: Reducing the Treewidth to Unlock FPT Algorithms in RNA Bioinformatics
Authors: Marchand Bertrand , Ponty Yann , Bulteau Laurent 
Published: November 2021

Abstract
Hard graph problems are ubiquitous in Bioinformatics, inspiring the design of specialized Fixed-Parameter Tractable algorithms, many of which rely on a combination of tree-decomposition and dynamic programming. The time/space complexities of such approaches hinge critically on low values for the treewidth tw of the input graph. In order to extend their scope of applicability, we introduce the Tree-Diet problem, i.e. the removal of a minimal set of edges such that a given tree-decomposition can be slimmed down to a prescribed treewidth tw. Our rationale is that the time gained thanks to a smaller treewidth in a parameterized algorithm compensates the extra post-processing needed to take deleted edges into account. Our core result is an FPT dynamic programming algorithm for Tree-Diet, using 2^O(tw)n time and space. We complement this result with parameterized complexity lower-bounds for stronger variants (e.g., NP-hardness when tw or tw − tw is constant). We propose a prototype implementation for our approach which we apply on difficult instances of selected RNA-based problems: RNA design, sequence-structure alignment, and search of pseudoknotted RNAs in genomes, revealing very encouraging results. This work paves the way for a wider adoption of tree-decomposition-based algorithms in Bioinformatics.
Placing equity at the heart of eHealth implementation: A qualitative pilot study
Authors: Heinsch Milena , Tickner Campbell , Kay-Lambkin Frances 
Published: November 2021

Abstract
Background
There is a growing urgency to tackle issues of equity and justice in the implementation of eHealth technologies.
Methods
Qualitative interviews were conducted with 19 multidisciplinary health professionals to explore the implementation and uptake of eHealth technologies in practice. Results were analysed using Nancy Fraser’s social justice framework to identify key dimensions and patterns of distribution, recognition, and participation in the implementation of digital health services.
Results
Health professionals reported that eHealth offered their clients a greater sense of safety, convenience, and flexibility, allowing them to determine the nature and pace of their healthcare, and giving them more control over their treatment and recovery. However, they also expressed concerns about the use of eHealth with clients whose home environment is unsafe. Application of Fraser’s social justice framework revealed that eHealth technologies may not always provide a secure clinical space in which the voices of vulnerable clients can be recognised and heard. It also highlighted critical systemic and cultural barriers that hinder the representation of clients’ voices in the decision to use eHealth technologies and perpetuate inequalities in the distribution of eHealth services.
Conclusions
To facilitate broad participation, eHealth tools need to be adaptable to the needs and circumstances of diverse groups. Future implementation science efforts must also be directed at identifying and addressing the underlying structures that hinder equitable recognition, representation, and distribution in the implementation of eHealth resources.
Visualising and predicting the COVID-19 outbreak in Malaysia using network analysis and support vector regression
Authors: Sharin Siti Nurhidayah , Radzali Mohamad Khairil , Sani Muhamad Shirwan Abdullah 
Published: November 2021

Abstract
Coronavirus disease 19 (COVID-19) was first discovered in December 2019 in Wuhan, China and spread quickly throughout the world, affecting the economy, social disruption, and public health. Concerning confirmed and death COVID-19 cases in Malaysia, the correlation of states and prediction model using support vector regression (SVR) associated with COVID-19 in Malaysia are yet to discover. Hence, the proposed works employ network analysis and SVR from July 2020 (Q3 2020) until June 2021 (Q2 2021) based on given data by the Ministry of Health Malaysia (MoH) (i) to correlate and visualise the COVID-19 pandemic spread between the states and (ii) to predict the cumulative number of COVID-19 confirmed and death cases. Network analysis was employed using Spearman rank coefficients and revealed an increasing degree of connectedness between different states, thus pinpointing key actors of transmission. Meanwhile, the proposed SVR predictive model could forecast the future COVID-19 cases and deaths (July 2021 to December 2021), with an excellent regression score (R2 = 0.829) and low mean squared error (MSE = 0.171), as well as root mean square error (RMSE = 0.413); hence, making this model reliable enough. Current data demonstrate that network analysis and the SVR model provide insightful and potential information to minimise COVID-19 transmission.
Kilometer-scale structure on the core-mantle boundary
at the source of the Hawaiian mantle plume
Authors: Li Zhi , Leng Kuangdai , Jenkins Jennifer , Cottaar Sanne 
Published: November 2021

Abstract
The lowermost mantle right above the core-mantle boundary is highly heterogeneous containing multiple poorly understood seismic features visible across a wide range of length scales. The smallest but most extreme heterogeneities yet observed are 'Ultra-Low Velocity Zones' (ULVZ), several of which have recently been linked to the base of mantle plumes. We exploit seismic shear waves that diffract along the core-mantle boundary to provide new insight into these enigmatic structures. We demonstrate that these waves have a strong frequency-dependent sensitivity to structure at different length scales above the core-mantle boundary. We measure a rare core-diffracted signal refracted by a ULVZ at the base of the Hawaiian mantle plume at unprecedentedly high frequencies. This signal shows remarkably longer time delays at higher compared to lower frequencies, indicating extreme internal variability within the Hawaiian ULVZ. Utilizing the latest computational advances in 3D synthetic waveform modeling, we are able to model this high frequency signal and constrain high-resolution structure on the scale of kilometers at the core-mantle boundary, for the first time. Results reveal that the lowermost part of the Hawaiian ULVZ is extremely reduced in shear wave velocity, by up to -40%. This new observation suggests a chemically distinct ULVZ with increasing iron content towards the core-mantle boundary, which has implications for Earth’s early evolutionary history and core-mantle interaction.
What Makes Community Health Worker Models for Tuberculosis Active Case Finding Work? A Cross-Sectional Study of TB REACH Projects to Identify Success Factors for Increasing Case Notifications
Authors: Dam Thu A. , Forse Rachel , Tran Phuong M.T. , Vo Luan N.Q. , Codlin Andrew J. , Nguyen Lan P. , Creswell Jacob 
Published: November 2021

Abstract
Background
In the field of tuberculosis (TB), Community Healthcare Workers (CHWs) have been engaged for advocacy, case detection, and patient support in a wide range of settings. Estimates predict large-sale shortfalls of healthcare workers in low- and middle-income settings by 2030 and strategies are needed to optimize the health workforce to achieve universal availability and accessibility of healthcare. In 2018, the World Health Organization (WHO) published guidelines on best practices for CHW engagement, and identified remaining knowledge gaps. Stop TB Partnership’s TB REACH initiative has supported interventions using CHWs to deliver TB care in over 30 countries, and utilized the same primary indicator to measure project impact at the population-level for all TB active case finding projects, which makes the results comparable across multiple settings. This study compiled 10 years of implementation data from the initiative’s grantee network to begin to address key knowledge gaps in CHW networks.
Methods
We conducted a cross-sectional study analyzing the TB REACH data repository (n=123) and primary survey responses (n=50) of project implementers. We designed a survey based on WHO guidelines to understand projects’ practices on CHW recruitment, training, activities, supervision, compensation, and sustainability. We segmented projects by TB notification impact and fitted linear random-effect regression models to identify practices associated with higher changes in notifications.
Results
Most projects employed CHWs for advocacy alongside case finding and holding activities. Model characteristics associated with higher project impact included incorporating e-learning in training and having the prospect of CHWs continuing their responsibilities at the close of a project. Factors that trended towards being associated with higher impact were community-based training, differentiated contracts, and non-monetary incentives.
Conclusion
In line with WHO guidelines, our findings emphasize that successful implementation approaches provide CHWs with comprehensive training, continuous supervision, fair compensation, and are integrated within the existing primary healthcare system. However, we encountered a great degree of heterogeneity in CHW engagement models, resulting in few practices clearly associated with higher notifications.
Site Specific Probabilistic Seismic Hazard Model for Isfahan, Iran: Estimates and Uncertainties
Authors: Kohrangi Mohsen , Safaei Homayon , Danciu Laurentiu , Tajmir-Riahi Hossein , Ajalloeian Rassoul , Bazzurro Paolo 
Published: November 2021

Abstract
We present a seismic source characterization model for the probabilistic seismic hazard assessment (PSHA) of the Isfahan urban area, Iran. We compiled the required datasets including the earthquake catalogue and the geological and seismotectonic structure and faults systems within the study region to delineate and characterize seismic source models. We identified seven relatively large zones that bound each region with similar seismotectonic characteristics and catalogue completeness periods. These regions were used for calculating the b-value of the Gutenberg-Richter magnitude recurrence relationship and for estimating the maximum magnitude value within each region. The recurrence parameters were then used to build a spatially varying distributed seismic source model using a smoothed kernel. Additionally, based on a fault database developed in this study and on a local expert’s opinion about their slip velocity, an active faults based model is also created. We further performed sets of sensitivity analyses to find stable estimates of the ground motion intensity and to define alternative branches for both the seismogenic source and ground motion prediction models. Site amplification is considered based on a Vs30 map for Isfahan compiled within this study. The alternative source and ground motion prediction models considered in the logic tree of this study are then implemented in the software Open Quake to generate hazard maps and uniform hazard spectra for return periods of interest. Finally, we provide a detailed comparison of the PSHA outcomes of the current study both with those presented in the 2014 Earthquake Model of Middle East (EMME14) and with the national seismic design spectrum to further discuss the discrepancies between hazard estimates from site-specific and regional PSHA studies.
Spectral and ASE Properties of 1-(4-Methylsulfonyl Phenyl)-3-(4-N, N Dimethyl Amino Phenyl)-2-Propen-1-One (MSPPP)
Authors: Attia Mohana , Elbadawi Abdelrahman A. , Ibnaouf K.H. 
Published: November 2021

Abstract
This work demonstrates the spectral and amplified spontaneous emission (ASE) properties of a new chalcone laser dye material of 1-(4-methylsulfonyl phenyl)-3-(4-N, N dimethyl amino phenyl)-2-propen-1-one (MSPPP). The absorption, fluorescence, Stokes’ shift and quantum yield were obtained using different organic solvents. The energy band gap was calculated and compared with that of 3-[4-(dimethylamino) phenyl]-1-phenyl-(2E)-propen- 1-one (DAPPP). These include absorption, fluorescence, stokes shift, and amplified spontaneous emission (ASE). The absorption spectra of MSPPP showed a wavelength band in the range 403–427 nm, whereas the fluorescence spectra exhibited a band at 472–533 nm. ASE was observed under pump pulse laser excitation, and the wavelengths were attuned from 511 to 548 nm.
COVID-19 Mortality in Italy Varies by Patient Age, Sex and Pandemic Wave
Authors: Minnai Francesca , Bellis Gianluca , Dragani Tommaso A. , Colombo Francesca 
Published: November 2021

Abstract

SARS-CoV-2 has caused a worldwide epidemic of enormous proportions, which resulted in different mortality rates in different countries for unknown reasons. We analyzed factors associated with mortality using data from the Italian national database of SARS-CoV-2-positive cases, including more than 4 million cases, >415 thousand hospitalized for coronavirus disease-19 (COVID-19) and >127 thousand deceased. For patients for whom age, sex and date of infection detection were available, we determined the impact of these variables on mortality 30 days after the date of diagnosis or hospitalization. Multivariable Cox analysis showed that each of the analyzed variables independently affected COVID-19 mortality. Specifically, in the overall series, age was the main risk factor for mortality, with HR >100 in the age groups older than 65 years compared with a reference group of 15-44 years. Male sex presented a two-fold higher risk of death than females. Patients infected after the first pandemic wave, defined up to 30 June 2020, had about 3-fold lower risk of death than those infected during the first wave. Thus, in a series of all confirmed SARS-CoV-2-infected cases in an entire European nation, elderly age was by far the most significant risk factor for COVID-19 mortality, confirming that protecting the elderly should be a priority in pandemic management. Male sex and being infected during the first wave were additional risk factors associated with COVID-19 mortality.
Conventional Low-density Particleboards Produced With Particles From Mauritia Flexuosa and Eucalyptus Spp. Wood
Authors: Faria Douglas Lamounier , Guimarães Jane Cecília Oliveira , Protásio Thiago de Paula , Mendes Lourival Marin , Junior José Benedito Guimarães 
Published: November 2021

Abstract
The use of alternative raw materials to produce particleboards is an interesting strategy to add value to lignocellulosic biomass and diversify the forest products industry. The aim of this study was to evaluate the potential for using Mauritia flexuosa particles in association with Eucalyptus spp. wood for the production of particleboards. Prior to the production of the panels, the raw materials were evaluated for basic density and chemical composition. The panels were produced with particles of Eucalyptus spp. and Mauritia flexuosa in mass proportions of 100/0%, 90/10%, 80/20%, 70/30% and 60/40%, respectively. The quality of the particleboards was evaluated by water absorption and thickness swelling, internal bonding and static bending tests. As Eucalyptus spp. particles were replaced by Mauritia flexuosa, the panels showed less dimensional stability, due to the fact that the compression ratio increased due to the lower density of Mauritia flexuosa particles. The substitution of 1% of Mauritia flexuosa particles caused a reduction of 10.49 MPa for MOE, 0.09 MPa for MOR and 0.01 MPa for internal bonding. The results demonstrate that it is feasible to replace up to 17.5% of Eucalyptus spp. wood with particles from Mauritia flexuosa so that the panels have physical and mechanical properties appropriate to the marketing standards.
Theoretical Formulation/Development of Signal Sampling with an Equal Arc Length Using the Frame Theorem
Authors: Xu Chunying , Hu Junwei , Chen Jiawang , Cao Chen , Ge Youngqiang , Li Miao 
Published: November 2021

Abstract
Non-uniform sampling with equal arc length intervals can be found in shape measurements with contact sensor arrays. In this study, the conditions of non-uniform spatial sampling with an equal arc length interval are derived from two frame theorems. First, for general non-uniform sampling, the condition is that the equal arc length interval of the sensors should be less than 1/4Ω. Second, for strictly increasing sampling, the condition is that the equal arc length interval of the sensors should be less than 1/2Ω. The Ω is the maximum frequency of the detected object. For the latter, if the sampling frequency is more twice than the sampling frequency required, the reconstruction error (RRMSE and MRE) is less than 5%. If the sampling frequency is more than 2.5 times, the reconstruction error is less than 3%. The simulation and the experiment are carried out and the results show that a sensor array with equal arc length interval can reconstruct the detected object with high accuracy.
Immunogenicity of COVID-19 mRNA Vaccines in Immunocompromised Patients: A Systematic Review and Meta-Analysis
Authors: Mehrabinejad Mohammad-Mehdi , Moosaie Fatemeh , Dehghanbanadaki Hojat , Hajighadery Abdolkarim , Shabani Mahya , Tabary Mohammadreza , Aryannejad Armin , SeyedAlinaghi SeyedAhmad , Rezaei Nima 
Published: November 2021

Abstract
Background

Immunocompromised (IC) patients are at higher risk of severe SARS-CoV-2 infection, morbidity, and mortality compared to general population. They should be prioritized for primary prevention through vaccination. In this study, we aimed to evaluate the efficacy of COVID-19 mRNA vaccines in IC patients through a systematic review and meta-analysis approach.
Method

PubMed-MEDLINE, Scopus, and Web of Science were searched for original articles reporting the immunogenicity of two doses of mRNA COVID-19 vaccines in adult patients with IC condition between June 1, 2020 and September 1, 2021. Meta-analysis was performed using either random or fixed effect according to the heterogeneity of the studies. Subgroup analysis was performed to identify potential sources of heterogeneity.
Results

A total of 26 studies on 3207 IC patients and 1726 healthy individuals were included. The risk of seroconversion in IC patients was 48% lower than those in controls (RR= 0.52 [0.42, 0.65]). IC patients with autoimmune condition were 54% and patients with malignancy were 42% more likely to have positive seroconversion compared to those with transplant (P<0.01). Subgroup meta-analysis based on type of malignancy, revealed significantly higher proportion of positive seroconversion in solid organ compared to hematologic malignancies (RR= 0.88 [0.85, 0.92] vs. 0.61 [0.44, 0.86], P= 0.03). Subgroup meta-analysis based on type of transplantation (kidney vs. others), showed no statically significant between group difference of seroconversion (P= 0.55).
Conclusions

IC patients, especially transplant patients, developed lower immunogenicity with two-dose of COVID-19 mRNA vaccines. Among patients with IC, those with autoimmune condition and solid organ malignancies are mostly benefited from COVID-19 vaccination. Findings from this meta-analysis, could aid health care policy makers upon making decision regarding the importance of the booster dose or more strict personal protections in the IC patients.