bluuebunny/crossref_metadata_2025_split huggingface dataset:
Metabolic pathway responsive gene encoding enzyme anchored EST-SSR markers based genetic and population assessment among Capsicum accessions
Authors: Haq Shamshadul , Singh Ram Baran , Gupta Vibha , Mahendrakar Mahesh D. , Kothari S. L. , Kachhwaha Sumita 
Published: October 2022

Abstract
Gene encoding enzyme based EST-SSR markers are more potent or functional marker system to evaluate astounding genetic and structural differentiation in plants. It is very useful in shaping divergences in metabolic fingerprinting, ecological interactions, conservation and adaptation among plants. Therefore, gene encoding enzyme mediated EST-SSR markers system were used presently to evaluate genetic and population structure among 48 Capsicum accessions. Total of 35 gene encoding enzyme based EST-SSR markers was used and generated 184 alleles at 35 loci with an average of 5.25 alleles per locus. The average value of polymorphic information content (PIC), marker index (MI) and discriminating power (DP) was 0.40, 0.232, and 0.216 respectively which revealed noteworthy degree of marker efficacy and their competency was further supported by primer polymorphism (93.57%) and cross transferability (44.52%). A significant genetic variability (Na = 1.249, Ne = 1.269, I = 0.247, He = 0.163, and uHe = 0.183) was identified among the Capsicum accession using EST-SSR markers. The mean value for Nei gene diversity, total species diversity (Ht), and diversity within population (Hs) were 0.277, 0.240 and 0.170 respectively. The coefficient of gene differentiation (Gst) was 0.296 indicating significant genetic differentiation within the population and Gene flow (Nm) was 1.189, which reflect a constant gene flow among populations. AMOVA revealed more genetic differentiation within the population which is similarly supported by principal coordinate analysis (PCoA) among the different Capsicum population. Thus, gene encoding enzyme based EST-SSR markers represent a potent system for estimation of genetic and structural relationship and is helpful for estimation of relationships or variations studies in plants.
Association between overweight/obesity and risk of chronic rhinosinusitis: a prisma-compliant meta-analysis
Authors: ZHANG Lan , ZHANG Rong , ZHU Baohua , LIU Huixia , PANG Kaiyun , LI Peishan , LIAO Jie , SHEN Hanchao , XIE Yan , TIAN Li 
Published: October 2022

Abstract
Background
Previously increasing studies revealed that overweight/obesity patients were significantly higher in groups of patients with common otorhinolaryngological inflammatory diseases. Although there still may have some controversies remaining in the effect of overweight/obesity on CRS. Therefore, this study aimed to perform a meta-analysis to explore whether overweight/obesity is a significant risk factor for CRS.
Methods
In this meta-analysis, we comprehensively and systematically searched for relevant published literatures concerning the correlation between overweight/obesity and risk of CRS through applying a predefined search terms as follows: (“overweight” OR “obesity”) AND (“chronic rhinosinusitis” OR “nasal polyps” OR “CRS” OR “CRSsNP” OR “CRSwNP”) in the following databases: PubMed, Web of science, Embase, Cochrane Library, and Google Scholar from inception to July 31, 2022. To explore the association between overweight/obesity and risk of developing CRS, multivariate odds ratio (OR) or relative risk (RR) and 95% confidence intervals (CI) were analyzed by using STATA software version16.0. This meta-analysis was registered with PROSPERO, CRD42022353658.
Results
Of 376 studies initially identified, only 7 studies concerning on the association between overweight/obesity and risk of CRS were eligible for the inclusion criteria eventually. The meta-analysis indicated that overweight was closely related to elevated risk of CRS (OR/RR = 1.04, 95%CI 0.90–1.18, P < 0.001). Meanwhile, the meta-analysis suggested that obesity was significantly related to elevated risk of CRS (OR/RR = 1.01, 95%CI 0.99–1.03, P < 0.001). Sensitivity analyses showed that there are no changes in the direction of effect when any one study was omitted from all meta-analyses. In addition, there was no significant risk of publication bias in this meta-analysis by performing Bgg’s test, Egger’s test, and funnel plot.
Conclusion
We found that overweight/obesity contributed to increasing the risk of developing CRS. Certainty, the result should be interpreted cautiously. Certainty, to obtain a more convincible result, more rigorous and high-quality clinical research will be warranted to be performed to evaluate the relationship between overweight/obesity and CRS in future.
Enhancing the value of death registration with verbal autopsy data: a pilot study in Dakar, Senegal
Authors: Khadim Niang , Fall Atoumane , Ndiaye Samba , Sarr Maguette , Ba Khady , Masquelier Bruno 
Published: October 2022

Abstract
Background - There is no source of data on causes of death in Senegal that covers both community and hospital deaths. Yet the death registration system in the Dakar region is relatively complete (>80%) and could be expanded to provide information on the diseases and injuries that led to death.
Methods - In this pilot study, we recorded all deaths that occurred over 2 months and were reported in the 72 civil registration offices in the Dakar region. We selected deaths of residents of the region and administered a verbal autopsy to a relative of the deceased to identify the underlying causes of death. Causes of death were assigned using the InterVA5 model.
Results - The age structure of deaths registered at the civil registry differed from that of the census, with a proportion of infant deaths about twice as high than in the census. The main causes of death were prematurity and obstetric asphyxia in newborns, while meningitis and encephalitis, severe malnutrition, and acute respiratory infections were the leading causes from 1 month to 15 years of age. Cardiovascular diseases accounted for 27% of deaths in adults aged 15-64 and 45% of deaths among adults above age 65, while neoplasms accounted for 20% and 12% of deaths in these two age groups, respectively.
Conclusions - This study demonstrates that the epidemiological transition is at an advanced stage in urban areas of Dakar, and underlines the importance of conducting regular studies based on verbal autopsies of deaths reported in civil registration offices.
The multi-channel system of the Vietnamese Mekong Delta: impacts on the flow dynamics under relative sea level rise scenarios
Authors: Le Hoang Anh , Nguyen Thong , Gratiot Nicolas , Deleersnijder Eric , Soares-Frazão Sandra 
Published: October 2022

Abstract

The Mekong Delta has the world's third largest surface area. It plays an indisputable role in the economy and livelihoods of Vietnam, Cambodia, with repercussions at regional and global scales. During recent decades, the Vietnamese part of the Mekong Delta underwent profound human interventions (construction of dykes and multi-channel networks), which modified the hydrodynamic regime, especially cycles of field submersion. In this study, we first applied a full 2D numerical hydraulic model, TELEMAC-2D, to examine the effects of the complex channel and river networks on the spatial and temporal distribution of the flow in the 40,000 km2 of the Vietnamese Mekong Delta. Then, two scenarios of relative sea level rise in 2050 and 2100 are implemented to simulate the future patterns of water fluxes in the delta. The results show that the dykes and multi-channel networks would reduce by 36% the inundation area and lessen by 15% the peak water level and 24% discharge over the floodplains. Despite this protection, under relative sea level rise of 30 cm and 100 cm, the maximum flooded area could occupy about 69% and 85% of the whole delta in 2050 and 2100, respectively.
Evaluation of Microbial Corrosion in Biofuel Storage Tanks Using Split-chamber Zero Resistance Ammetry
Authors: II Robert B. Miller , Ghadimi Hanieh , Chinthala Sai Prasanna , Sadek Anwar , Crouch Audra L. , Floyd James G. , Stevenson Bradley S. , Crookes-Goodson Wendy , Senko John M. , Monty Chelsea N. 
Published: October 2022

Abstract
Split chamber zero resistance ammetry (SC-ZRA) was used to study microbiologically influenced corrosion by aerobic chemoorganotrophic microeukaryotes isolated from biodiesel storage tanks. The magnitude and direction of electric current were measured between two shorted carbon steel electrodes, which were deployed in separate chambers connected by a salt bridge (via a SC-ZRA assembly). This approach permitted rapid screening for the corrosive activity of these previously understudied microeukaryotes. During this study, two previously understudied microeukaryotes (Byssochlamys sp. SW2 and Yarrowia lipolytica) showed increased biomass, an increase in electrochemical signal (current), and a corresponding increase in corrosion rate (weight loss). However, other previously understudied microeukaryote (Wickerhammomyces sp. SE3) showed an increase in biomass without an increase in electrochemical signal and minimal corrosion rate. Indicating, that the SC-ZRA technique can screen for the corrosive activity of a microorganism, regardless of overall microbial activity. This technique could be used to quickly assess the corrosive potential for a range of previously understudied microorganisms.
Maximum Power Point Tracking of Solar Photovoltaic Systems using Flyback Converter under normal and partial shading conditions.
Authors: Kanth Saqib Asgar , Yousuf Baziga 
Published: October 2022

Abstract
Among Renewable energy sources (RES), a Photovoltaic system (PV) is the most clean and abundantly available form of energy. The major challenge for a PV system is efficiency. In this paper a simulation based study is presented for a 100KW photovoltaic system under normal and partial shading conditions for maximum power point tracking (MPPT) integrated with the flyback converter. Partial shading reduces the output voltage and induces multiple peaks in the P-V characteristics. The maximum power point techniques work in combination with the flyback converter to track the maximum power under normal conditions and the global peak in case of partial shading conditions. Since the maximization of load power is required, this paper focuses on the load power maximization. The flyback converter is used because of its simpler design, isolation property (flyback transformer), and higher output voltage requirement. The power transferred to the load side is studied and analysed through simulation in MATLAB and the results are shown.
Data structures for computing unique palindromes in static and non-static strings
Authors: Mieno Takuya , Funakoshi Mitsuru 
Published: October 2022

Abstract
A palindromic substring T[i.. j] of a string T is said to be a shortest unique palindromic substring (SUPS) in T for an interval [p, q] if T [i.. j] is a shortest one such that T [i.. j] occurs only once in T, and [i, j] contains [p, q]. The SUPS problem is, given a string T of length n, to construct a data structure that can compute all the SUPSs for any given query interval. It is known that any SUPS query can be answered in O(α) time after O(n)-time preprocessing, where α is the number of SUPSs to output [Inoue et al., 2018]. In this paper, we first show that α is at most 4, and the upper bound is tight. We also show that the total sum of lengths of minimal unique substrings of string T, which is strongly related to SUPSs, is O(n). Then, we present the first O(n)-bits data structures that can answer any SUPS query in constant time. Also, we present an algorithm to solve the SUPS problem for a sliding window that can answer any query in O(log log W) time and update data structures in amortized O(log σ) time, where W is the size of the window, and σ is the alphabet size. Furthermore, we consider the SUPS problem in the after-edit model and present an efficient algorithm. Namely, we present an algorithm that uses O(n) time for preprocessing and answers any k SUPS queries in O(log n log log n + k log log n) time after single character substitution. Finally, as a by-product, we propose a fully-dynamic data structure for range minimum queries (RmQs) with a constraint where the width of each query range is limited to poly-logarithmic. The constrained RmQ data structure can answer such a query in constant time and support a single-element edit operation in amortized constant time.
Degradation of Polycyclic Aromatic Hydrocarbons During Decontamination of Oil-Polluted Soils: In Silico Approach
Authors: Ablieieva Iryna , Plyatsuk Leonid , Liu Tong , Berezhna Iryna , Yanchenko Ilona 
Published: October 2022

Abstract

The main idea was to solve the problem related to oil contamination of soil using bioremediation with bioaugmentation with modelled microorganism strains. The paper aimed to develop a bacterial consortium for petroleum hydrocarbons degradation during biological treatment of oil-contaminated soils using electronic databases. The methodology of the research included analysis of the mechanisms and metabolic pathways of petroleum hydrocarbons degradation, and assessment of the possible reaction modulus and enzymatic systems for degradation of aromatic compounds. The taxonomic classification and review of metabolic pathways of oil compound transformation were carried out using electronic KEGG, MetaCyc and EzTaxon databases. The KEGG database was used to create a microbiological consortium of certain strains of bacteria that improved hydrocarbon degradation process performance. Identification of bacteria complete genome using Island Viewer 4 allowed to create of a consortium of oil-destructive bacteria consisting of such strains: Pseudoxanthomonas spadix BD-a59, Rhodococcus jostii RHA1, Rhodococcus aetherivorans IcdP1, Pseudomonas putida ND6, Pseudomonas stutzeri 19SMN4, Pseudomonas fluorescens UK4, Acinetobacter lactucae OTEC-02, Bacillus cereus F837/76.7.9. The ratio between the mentioned strains of microorganisms in the consortium was set at 20% : 20% : 15% : 10% : 10% : 5% : 5% : 15%. This bacterial consortium for aromatic hydrocarbons was created according to the metabolic information of basic enzymatic systems and predominant transformation of particular oil compounds, using BacDive database.
Candidate stem cell isolation and transplantation in Hexacorallia
Authors: Talice Shani , Barkan Shany , Snyder Grace , Ottolenghi Aner , Eliachar Shir , Ben-Romano Ronit , Oisher Shelly , Sharoni Ton , Lewandowska Magda , Sultan Eliya , Goldstein Oron , Aharoni Reuven , Hadad Uzi , Davis Claytus , Moran Yehu , Gershoni-Yahalom Orly , Traylor-Knowles Nikki , Rosental Benyamin 
Published: October 2022

Abstract
Stem cells are the base for cell therapy due to their ability to self-renew, differentiate into other cell types, and live throughout the life of an organism. The initial cell therapy was bone marrow transplantation; bone marrow that contains haematopoietic stem cells is transferred from a healthy donor into a sick recipient to transfer the healthy genotype1,2. Stem cell therapy approach may be possible in corals, where there is genotypic variation in heat tolerance that influences survival during increased water temperatures3–5. However, we first need the ability to reliably isolate and transplant stem cells in Hexacorallia, which includes stony corals and sea anemones6.
In this work, we used the sea anemone Nematostella vectensis as our model for candidate stem cell transplantation, as it is the only hexacorallian species that has fluorescent-tagged transgenic strains7. We established cell transplantation to show that there are cell populations exhibiting the functional characteristics of stem cells. We showed that a subpopulation of cells from N. vectensis can be transplanted from donor to recipient, are long-lived and self-renewing, can proliferate and differentiate, can integrate into the recipient, and rescue recipient animals treated with lethal doses of a chemotherapeutic agent. Lastly, we showed that this subpopulation can be enriched by sorting, using species non-specific cell markers and that similar subpopulations of cells can be isolated from other hexacorallians, including stony corals. This lays a foundation for the possibility of stem cell-based therapy in species of Hexacorallia.
The Solar Asymmetric Activity – Dose The Sun Have a Face?
Authors: Mizrahi Ezra , Hazan Suzan 
Published: October 2022

Abstract
The east-west asymmetrical, longitudinal distribution of solar activity has a long history, and has been recorded for prolonged periods.
In order to explore these observations further this paper focuses on the space and time, of magnetic fluxes in the photosphere that were harvested from images and data from the SOHO/MIDI magnetogram during 2006. Our research documented the distribution of the time and the location of the birth of sunspots, while taking into consideration evidence from other tracers, and comparing them to other solar activity observations.
The fluxes’ longitudinal distribution indicates east-west asymmetry and shows remarkably similar behavior to other observational results that have been observed over prolonged periods. Distinguishing between initial and advanced stages demonstrates how most fluxes near the east limb are brought into view in their formation stage .
The preponderance of “new” fluxes on the Eastern limb indicates an active longitude belt on the Eastern side thereby causing E-W asymmetry.
When observed from an Earth-located perspective, the evidence of east-west asymmetry leads us to conclude that the active longitudinal belt can only exist on one side of the hemisphere and, in fact, can be observed only from an Earth-located perspective.
In order to further explore these observations, our research draws on the 2006 results to calculate how the same photospheric activity pattern would be viewed from the perspective of the planets Mars and Venus; as if using virtual observers. In contrast to the Earth-located observer, our calculations indicate an apparent random spread of sunspot longitudinal distribution, with no clear evidence of an active longitudinal belt, and no evidence of an east-west asymmetry as observed from Earth. This empirical evidence leads us to suggest that the sun has a face.
The Impact of COVID-19 Infection on Previous Respiratory Diseases
Authors: Shihabi Farah , Rasheed Modar Haj , Alahmadi Qusai , Al-Bardan Hussam 
Published: October 2022

Abstract
Background
In individuals with coronavirus illness, chronic respiratory disorders (CRD) are prevalent.
Methods
Data on diagnoses, comorbidities, test findings, and clinical outcomes were taken from the Damascus Hospital archive department. Based on the individuals' medical histories, CRD was identified.
Results
The 310 patients who participated in our research had an average age of 61.54 years. Patients who were male made up 63% of the patient population, while patients who were female made up 37%. Shortness of breath was the most common symptom reported by patients during their infection with the coronavirus, affecting 292 patients. We found a statistically significant association between the presence of these chronic lung diseases and fever, a productive cough, chest pain, and bronchiectasis in the 126 patients who had them.
Conclusion
Chronic respiratory illnesses have been associated with a higher chance of COVID-19 infection overall, even though asthma is the least severe chronic lung disease that worsens COVID-19 symptoms. The severity of COVID-19 infection in people with chronic respiratory disorders may need to be investigated further.
Evidence of polygenic regulation of the physiological presence of neurofilament light chain in human serum
Authors: Herrera-Rivero Marisol , Hofer Edith , Maceski Aleksandra , Leppert David , Benkert Pascal , Kuhle Jens , Schmidt Reinhold , Khalil Michael , Wiendl Heinz , Stoll Monika , Berger Klaus 
Published: October 2022

Abstract
The measurement of neurofilament light chain (NfL) in blood is a promising biomarker of neurological injury and disease. We investigated the genetic factors that underlie serum NfL levels (sNfL) of individuals without neurological conditions. We performed a discovery genome-wide association study (GWAS) of sNfL in participants of the German BiDirect Study (N=1,899). A secondary GWAS for meta-analysis was performed in a small Austrian cohort (N=287). Results from the meta-analysis were investigated in relation with several clinical variables in BiDirect. Our discovery GWAS identified 12 genetic loci showing suggestive associations (p<1x10-5) with sNfL. After meta-analysis, 7 loci were significant at this threshold. Genotype-specific differences in sNfL were observed for the lead variants of meta-analysis loci (rs2462121, rs114956339, rs529938, rs73198093, rs34372929, rs10982883 and rs1842909) in BiDirect participants. We found mild associations in meta-analysis loci with markers of inflammation and renal function. At least 6 protein-coding genes (ACTG2, TPRKB, DMXL1, COL23A1, NAT1 and RIMS2) were implicated as potential genetic factors contributing to baseline sNfL levels. Our findings suggest that polygenic regulation of neuronal processes, inflammation, metabolism and clearance modulate the variability of NfL in the circulation. These will aid in the interpretation of sNfL measurements in a personalized manner.
Prediction of stream water quality in Godavari River Basin, India using statistical and artificial neural network models
Authors: Satish Nagalapalli , Anmala Jagadeesh , K Rajitha , Varma Murari Raja Raja 
Published: October 2022

Abstract
The successful prediction of the stream or river water quality is gaining the attention of various governmental agencies, and pollution control boards worldwide due to its useful applications in determining watershed health, biodiversity, ecology, and suitability of potable water needs of the river basin. The physically based computational water quality models would require large spatial and temporal information databases of climatic, hydrologic, and environmental variables and solutions of nonlinear, partial differential equations at each grid point in a river basin. These models suffer from estimability, convergence, stability, approximation, dispersion, and consistency issues. In such a problematic modeling scenario, an artificial neural network (ANN) modeling of 22 stream water quality parameters (SWQPs) is performed from easily measurable data of precipitation, temperature, and novel land use parameters obtained from Geographic Information System (GIS) analysis for the Godavari River Basin, India. The ANN models are compared with the more traditional, statistical linear, and nonlinear regression models for accuracy and performance statistics. This study obtains regression coefficients of 0.93, 0.78, 0.83, and 0.74 for electrical conductivity, dissolved oxygen, biochemical oxygen demand, and nitrate in testing using feedforward ANNs compared with a maximum of 0.45 using linear and nonlinear regressions. Principal component analysis (PCA) is performed to reduce the input data dimension. The subsequent modeling using radial basis function and ANNs is found to improve the overall regression coefficients slightly for the chosen four water quality parameters (WQPs). A closed form equation for electrical conductivity has been derived from MATLAB simulations. The successful modeling results indicate the effectiveness and potential of ANNs over the statistical regression approaches for estimating the highly nonlinear problem of stream water quality distributions.