bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analyzing the effectiveness of digital technology in Vaccine Supply Management in Kano State, Nigeria
Authors: Metiboba Loveth , Katuka Abdullahi , Adam Thompson , Giwa Zikrullah , Fagge Rabiu , Haidar Nada , Akpan David , Howeidy Fatima , Ngwokwe Ifeanyi 
Published: May 2023

Abstract
Background
Poor vaccine stock management is a major challenge to targeted immunization coverage in Nigeria. Digital health tools are used to promote public health interventions. This study evaluated the impact of LoMIS Stock, a digital health tool, on vaccine stock management in Kano State. We deployed the quasi-experimental design using a mixed method to generate data for impact. We interviewed 109 stakeholders (66 in Kano; the state exposed to LoMIS; 43 in Bauchi; the comparison state). We measured LoMIS Stock usage rate, timeliness of reporting, facility stock-outs, and data-driven decision-making. The Analysis of Variance and T-tests were used to determine effect and compare difference of means. Using time series analysis (expert modeler), we forecasted the trend of stock-outs in Kano State if LoMIS Stock had not been introduced. All qualitative data was analyzed with Atlas Ti software.
Results
We found that 62% of participants reported using the tool for stock reports three years after its deployment. Twenty-four (24) hour response to stock-out alerts and Cold Chain Equipment breakdown improved by 67% and 49% respectively. Significantly, stock-out alerts reduced by 88% as compared to only 29% in Bauchi State within the same period. It was found that stock-out events would have increased if LoMIS Stock had not been introduced in Kano State.All partners interviewed affirmed the impulse of LoMIS on improved vaccine visibility that led to timely response.
Conclusions
LoMIS stock has significantly reduced stock-out experiences and improved vaccine visibility and accountability in health facilities. There are more opportunities for LoMIS Stock optimization.
RETRACTED: QTL mapping of downy mildew resistance in foxtail millet by SLAF‑seq and BSR-seq analysis
Authors: Liu Xu , Zhang Nuo , Sun Yurong , Fu Zhenxin , Zhang Tianhan , Han Yuanhuai , Yang Yang , Jia Jichun , Hou Siyu , Zhang Baojun 
Published: May 2023

Abstract

The authors have requested that this preprint be removed from Research Square.
M6a Regulator-Mediated RNA Methylation modification Patterns Correlated With Prognosis Value and Immune Response in Adenocarcinoma of lung
Authors: Mu Junhao , Zhang Yuezhou , Xu Li , Li Yishi , Huang Jing , Li Weiyi , Ao Min , Dai Haiyun , Liu Jing , Guo Shuliang , Yang Li 
Published: May 2023

Abstract
Background: Lung adenocarcinoma (LUAD) is one of the most common subtypes of non-small cell lung cancer (NSCLC) and the main cause of death of cancer patients worldwide. N6-methyladenosine (m6A) modification and long noncoding RNAs (lncRNAs) are of significance in the prognosis and immunotherapy response of LUAD. Therefore, it is important to identify lncRNAs related to m6A modification and construct a prognostic risk model in LUAD patients.
Method：The expression of writers, readers and erasers of m6A related to LUAD were get from TCGA database. The m6A-related lncRNAs were identified from TCGA by the co-expression. Univariate and multivariate Cox regression analysis screened out the m6A-related lncRNAs which were valuable for prognosis in LUAD. LUAD patients were divided into different subgroups by consistent cluster analysis. The potential biological function mechanisms of different subgroups were analyzed by KEGG enrichment, and explored the differences of tumor immune microenvironment between subgroups. Finally, the prognostic risk model of prognosis-related m6A-related lncRNA was constructed by lasso regression, and detected its effect on immune microenvironment.
Results: We found that there were differences in the expression of writers, readers and erasers of m6A in LUAD tissues and adjacent normal tissues and identified abundant coexpressed lncRNAs. Thirty-two lncRNAs with prognostic value related to m6A were identified. Based on prognosis-related m6A-related lncRNAs, we divided LUAD patients into different subgroups by consistent cluster analysis, analyzed the difference in prognosis in the subgroups, and assessed the expression of m6A-related lncRNAs in different subgroups and the relationship between m6A-related lncRNAs and clinical factors. Tumor-related NOTCH, ERBB, cell cycle, MOTR, p53 and WNT signaling pathways were found to be enriched in Cluster 2 by KEGG. Moreover, we found that there was a significant correlation with immune checkpoint genes and the tumor immune microenvironment between the two clusters. A risk prognosis model was constructed by prognostic-related m6A-associated lncRNAs and further confirmed in the external cohort. Furthermore, the m6A-related risk model can effectively predict the prognosis and survival status of patients with LUAD. Finally, there are differences in risk models between immune checkpoint genes and the tumor immune microenvironment.
Conclusion: Our study constructed a prognostic risk model based on m6A-related lncRNAs with independent prognostic value and revealed the role of this model and lncRNAs in the tumor immune microenvironment. This finding suggests a new development prospect forimmunotherapy strategies in LUAD.
Ab initio calculation of the structural, electronic, thermal, optical properties of BAs, BP, BN and BBi coumpounds : optoelectronic application
Authors: Megdoud Yousra , Lakel Abdelghani. , Tairi Latifa , Bourahla Nassima , Meneceur Redha. , Ghemid Sebti , Meradji Hocine 
Published: May 2023

Abstract
Ab initio calculations were carried out on the structural, electronic, and thermal and optical properties of the binary compounds BP ,BAs,BN and BP in the different phases zinc blende (B3), NaCl (B1), CsCl (B2), NiAs (B8) and wirtzite (B4).We used the augmented linearized plane wave method (FP-LAPW) based on the functional theory of density (DFT). The exchange-correlation potential (XC) was processed through the generalized gradient approximation developed by Wu-Cohen (WC-GGA) to optimize the appropriate structural parameters. Moreover, the modified Becke-Johnson (mBJ) method is applied to determine the electronic band structure of BP, BAs, BN and BBi semiconductors. The thermal effects on certain macroscopic properties of binary compounds and alloys have been studied using the quasi-harmonic model of Debye, in which the phononic effects are considered. The dielectric function, refractive index, absorption coefficient and reflectivity has studied of optical properties. The results assert that the zinc blende structure is the stable phase with an indirect band gap.
Comprehensive Study of Algal Blooms Variation in Jiaozhou Bay Based on Google Earth Engine and Deep Learning
Authors: Guan Bin , Ning Shaowei , Ding Xu , Kang Dawei , Song Jiale , Yuan Hongwei 
Published: May 2023

Abstract
Jiaozhou Bay is one of China's most important marine ecosystems, experiencing increasingly prominent harmful algal blooms due to water quality deterioration and eutrophication. This study utilized the floating algae index (FAI), which was calculated from MODIS and Sentinel-2 satellite image datasets, to analyze the spatial and temporal variation of harmful algae blooms in Jiaozhou Bay between 2000 and 2022. The study discovered that the frequency of planktonic algal outbreaks was low and constant until 2017, but has increased annually since then. Algae blooms are most common in the summer, and the outbreak area is primarily concentrated in the bay's coast, middle and mouth, with obvious seasonal and spatial distribution characteristics. Several factors influencing algal outbreaks were identified in the study, including sea surface temperature, wind speed, air pressure, dissolved oxygen, nitrogen and phosphorus ratios, chemical oxygen demand (COD), and petroleum pollutants. Furthermore, according to the study, algal bloom outbreaks in Jiaozhou Bay are expected to remain high in 2023. Overall, the findings of this study provide crucial information for the management of water quality, as well as the prediction and prevention of future algal outbreaks in Jiaozhou Bay.
The effect of intra-nasal insulin &amp; growth factor-rich serum administration on memory and behavior defects induced by icv-STZ rat model and correlation analysis of hippocampus oxidative-nitrosative state with spatial memory and anxiogenic behavior
Authors: Ghaffari Mahdi Khorsand , Rafati Ali , Karbalaei Narges , Haghani Masoud , Nemati Marzieh , Sefati Niloofar , Namavar Mohammad Reza 
Published: May 2023

AbstractImpaired insulin and growth factor functions are thought to drive many of the alterations observed in neurodegenerative disease and seem to contribute to oxidative stress and inflammatory responses. Recent studies revealed that nasal growth factor therapy could induce neuroprotection in brain damage induction models for rodents. In the present study. Growth factor-rich serum (GFRS) is a serum separated from activated platelets used intranasally with the cotreatment of insulin to examine the effects of intranasal treatments on memory and behavioral defects induced by icv-STZ rat model and the correlation of hippocampus oxidative state with memory and behavior scores analyzed. We found that icv-STZ injection (3 mg/kg bilaterally) impairs spatial learning and memory in Morris Water Maze (MWM), leads to anxiogenic-like behavior in the open field arena, and induces oxidative stress in the hippocampus. GFRS (1µl/kg, each other day, 9 doses) and regular insulin (4 U/40 µl, daily, 18 doses) treatments improved learning and memory and induced anxiolysis. The present study showed that cotreatment (GFRS + insulin with respective dose) has stronger protection against hippocampus oxidative stress in comparison with a single therapy. Memory and behavioral improvements with insulin and GFRS could be attributed to the oxidative stress reduction in the hippocampus as shown by significant correlation between hippocampus oxidative-nitrosative stress and memory/behavior scores.
Curvilinear models of Physicochemical Propertiesof Benzenoid Hydrocarbons with Some ClosedNeighborhood Degree-Based MolecularDescriptors
Authors: Chamua Monjit , Buragohain Jibonjyoti , Boruah Tarun , Bharali A 
Published: May 2023

Abstract
Topological indices are best known for their exceptional applications, especially in the QSPR and QSAR studies. The importance of topological indices may be attributed to their ability to decode relevant information about chemical molecules. The main aim of this communication is to study the predictive ability of three hitherto topological indices of Benzenoid Hydrocarbons defined in terms of the notion of the closed neighborhood degree of a vertex. We also compare via regression models the indices with the existing 5 reduced reverse degree-based and 16 degree-based topological indices studied by Ravi et al. in 2023. In this work, we also attempt to scrutinize the indices having a less predictive potential of physicochemical properties of chemical molecules using various statistical tools.
AMS Classification (2010): 05C10, 94C15, 92E10.
Impact of climatic factors on the temporal trend of Malaria in India from 1961 to 2021
Authors: Mayilsamy Muniaraj , Veeramanoharan Rajamannar , Jain Kamala , Balakrishnan Vijayakumar , Rajaiah Paramasivan , Kumar Ashwani 
Published: May 2023

Abstract
Background
Malaria remains a significant public health problem in India. Although temperature influences Anopheline mosquito feeding intervals, population density, and longevity, the reproductive potential of the Plasmodium parasite and rainfall influences the availability of larval habitats, evidence to correlate the climatic factors with malaria is limited. Understanding the influence of climatic factors on malaria will help us predict the disease's future spread and intensification. Hence, the temporal trend of climatic factors such as annual average maximum, minimum, mean temperature, and rainfall was compared with the annual incidence of malaria cases in India for the period of 61 years from 1961 to 2021 and relative humidity for the period of 41 years from 1981 to 2021 to find out the relationship of climatic factors on the incidence of malaria cases.
Methods
Two different analyses were done. In the first analysis, the annual incidence of malaria and the meteorological parameters such as annual maximum, minimum, and mean temperature, annual rainfall, and relative humidity were plotted separately with each of the climatic factors in the graph to see if the temporal trend of climatic factors has any coherence or influence over the annual incidence of malaria cases. A polynomial trendline at order 6 that showed the maximum R2 value was drawn for malaria cases and each of the meteorological factors. The Pearson correlation coefficient was calculated for both square roots of malaria cases vs. each of the climatic factors. The P-value, R2-value, and N-value were also determined. In the second analysis, a multiple linear regression model was used to identify the associated climatic factors with malaria cases. The prevalence of malaria per million population was also calculated.
Results
In the first analysis, the annual malaria cases showed a negative correlation of varying degrees with relative humidity, minimum, maximum, and mean temperature, except for rainfall which showed a positive correlation. In the second analysis, out of the total 61 years studied, in 29 years, malaria cases went more than 1000 square root when the minimum temperature was at 18°-19°C, 33 years when the maximum temperature was 30°-31°, 37 years when the mean temperature was 24°-25°, 20 years when the rainfall was in the range of 100–120 and 29 years when the relative humidity was at 55–65%.
Barycentric Lagrange Interpolation Method for Solving Love’s Integral Equations
Authors: Shoukralla E. S. , Ahmed B. M. 
Published: May 2023

Abstract
‫ـــــ‬ In this paper, we presented a new simple method for solving two integral equations of Love’s type that have many applications, especially in electrostatic systems. The approach of the solution is based on an innovative technique using matrix algebra for the barycentric Lagrange interpolation. The unknown function is expressed through the product of four matrices, one of which is a square matrix in which each row expresses the coefficients of one barycentric function. The kernel is interpolated twice, so we get it in the product of five matrices. One of these matrices is the most important matrix in the solution’s procedure. As it expresses the functional values of the kernel at the interpolation nodes for the two variables. Additionally, we derive an equivalent linear algebraic system to the solution by substituting the matrix-vector barycentric interpolated unknown function together with the double interpolated kernel into both sides of the integral equation. Thus, there was no need to employ the collocation method. The obtained results converge strongly with the approximate analytical solutions. In addition to being uniformly approximated, continuous, and even, which proves the validity of the solution by the presented method. MSC code: 00A69
Comparison of different multi-laser powder bed fusion exposure strategies and their influence on the part quality of IN718
Authors: Pfalz Tino , Rota Astrid , Saeidnezhad Nazila , Leyens Christoph 
Published: May 2023

Abstract
Multi-laser powder bed fusion (M-LPBF) systems, characterized by large building envelopes and multiple lasers, have become increasingly prevalent in industrial additive manufacturing. The increased build rate of these machines relative to single laser systems offers the potential to drastically reduce the cost per part. However, one major challenge with M-LPBF is that often multiple lasers are needed to build a single part. Therefore, the exposure area must be divided, and the segments must be assigned to different lasers. Various strategies for splitting the exposure area are available, but their influence on part quality remains yet to be determined. This study aims to investigate the impact of the fixed exposure border, variable exposure border, and segmented stripes M-LPBF exposure strategy on the part quality of samples built with two lasers compared to samples built with one laser. Therefore, the porosity, microstructure, and mechanical properties of IN718 samples were evaluated. The research shows that the fixed exposure border strategy resulted in a localized increase in porosity at the border or within the overlap area between segmented exposure areas, as well as grain coarsening and increased texture within the remelted areas. The variable exposure strategy also resulted in a higher porosity level, but the microstructure was more like the single laser reference sample. These changes resulted in a minor decrease in mechanical properties. The segmented stripes strategy exhibited a similar microstructure and mechanical properties to the single laser reference, making it the most suitable approach for M-LPBF in industrial applications.
Controlled Prospective Study on Ultrasound Simulation Training in Fetal Echocardiography: FESIM II
Authors: Janzing Paul , Nourkami-Tutdibi Nasenien , Tutdibi Erol , Freundt Paula , Von Ostrowski Thomas , Langer Martin , Zemlin Michael , Steinhard Johannes 
Published: May 2023

Abstract
Purpose: To analyze the learning curves of ultrasound novices in fetal echocardiography during structured simulation-based ultrasound training (SIM-UT) including a virtual, randomly moving fetus.
Methods: 11 medical students with minimal (<10h) prior obstetric ultrasound experience underwent 12 hours of structured fetal echo SIM-UT in individual hands-on sessions during a 6-week training program. Their learning progress was assessed with standardized tests after 2, 4, and 6 weeks of SIM-UT. Participants were asked to obtain 11 fetal echo standard planes (in accordance with ISUOG and AHA guidelines) as quickly as possible. All tests were carried out under real life examination-like conditions on a healthy, randomly moving fetus. Subsequently, we analyzed the rate of correctly obtained images and the total time to completion (TTC). As reference groups, 10 Ob/Gyn physicians (median of 750 previously performed Ob/Gyn scans) and 10 fetal echo experts (median of 15000 previously performed Ob/Gyn scans) were examined with the same standardized tests.
Results: The students showed a consistent and steady improvement of their ultrasound performance during the training program. After 2 weeks, they were able to obtain >95% of the standard planes correctly. After 6 weeks, they were significantly faster than the physician group (p<0.001) and no longer significantly slower than the expert group (p=0.944).
Conclusion: SIM-UT is highly effective to learn fetal echocardiography. Regarding the acquisition of the AHA/ISUOG fetal echo standard planes, the students were able to reach the same skill level as the expert group within six weeks.
Assessing Unmet Needs in Patients with Hidradenitis Suppurativa
Authors: Chadha Simran A. , Stout Molly , Goyal Parul Kathuria , Nguyen Cuong , Lu Kurt 
Published: May 2023

Abstract
Background: The diagnosis and management of hidradenitis suppurativa (HS) varies greatly between providers, often resulting in gaps in care including diagnostic delays and poor outcomes. As dermatologists strive to improve HS management, understanding patient perspectives is key.
Objective: This study aims to characterize existing gaps in HS care as understood through patients’ experiences.
Methods: This study recruited adult patients with a diagnosis of HS seen at dermatology practices affiliated with Northwestern University. Data was collected through participant surveys and three semi-structured focus groups. Focus group meetings were transcribed verbatim and data was abstracted into themes using conventional content analysis.
Results: Six final themes were abstracted after review of 20 pages of transcribed conversation. Four themes centered on improved medical management of HS (access to care, disease-modifying therapies, symptom treatment, prevention of treatment related adverse events). Two themes centered on supportive care (mental health support, specialized daily wear products).
Limitations: Limitations of this study include single-center recruitment and recall bias introduced by the focus group format.
Conclusion: This study identifies six unmet needs for patients with HS and highlights the efficacy of a virtual format for research, conversation, and possibly clinical engagement. Moreover, multiple themes underscore the need for further collaboration across specialties in managing HS.
BBD optimized antioxidants of Crotalaria candicans and its nanoconjugates, exert potent in vivo anti-biofilm effects against MRSA
Authors: Subramani Ramya M. , Lotha Robert , Shamprasad Bhanuvalli R. , Sridha Sriram , Natesan Ravichandran , Nagarajan Saisubramanian , Sivasubramanian Arvind 
Published: May 2023

Abstract
Crotalariagenus is extensively dispersed in tropical and subtropical provinces, and it is found to harbor antioxidant flavonoids (CCF). For this purpose, the extraction efficiency of a suitable solvent which can maximize the yield along with higher total phenolic content (TPC) and total flavonoid content (TFC)/Quercetin Equivalence (QRET) was attempted. Further optimization, evaluating variables such as solid-solvent ratio, extraction solvents and yield, was done using Response Surface Methodology. The optimized conditions were found as Aqueous- Solvent ethanol (53.42%), Solid-solvent ratio (1:15.83 w/v) and temperature (44.42 °C) to obtain the TFC as 176.23mg QRET/g C. candicans extract, and also to yield 27.42 mg CCF/g (C. candicans dry weight). LC-MS analysis of CCF, revealed the presence of seven flavonoids. The antioxidant flavonoids were further used to functionalize the zero-valent silver (ZVAgF) and copper (ZVCuF) nanoparticles and their efficacy as antibiofilm agents on Methicillin-resistant Staphylococcus aureus (MRSA) with the mechanism studies have been explored. The MRSA-colony count from the infection zebrafish (in vivo) model, portrayed a reduction of >1.9 fold for ZVCuF and >2 fold for ZVAgF, with no alteration in liver morphology when treated with ZVAgF, implying that the nanoparticles were safe and biocompatible.
What can neutralizing antibodies tell us about the quality of immunity in COVID-19 convalescents and vaccinees?
Authors: Halassy Beata , Ravlić Sanda , Kurtović Tihana , Krajinović Lidija Cvetko , Hećimović Ana , Miloš Marija , Lukačević Sanja Mateljak , Markotić Alemka 
Published: May 2023

Abstract
In the COVID-19 pandemic, we have witnessed an impressive speed in the development of effective vaccines approved for human use, based on clinical studies comparing their efficacy to placebo. A head-to-head comparison of the neutralizing antibody (NAb) responses elicited by four vaccines used in Europe during 2021 (BNT162b2, mRNA-1273, ChAdOx nCoV-19, Ad26.COV2.S) and their comparison to NAb responses in convalescents showed that while the amount was comparable, NAbs induced by natural infection were of superior quality. The highly scattered immune responses elicited by the four vaccines were equalled by booster mRNA vaccination, reaching the highest, plateau level of NAb at the population level. Equally high NAbs were induced in convalescents after a single injection of either vaccine. The use of wild-type virus as a challenge in the NAb determination revealed that NAbs produced by disease were better activators of the complement system than NAbs induced by vaccination. The contribution of spike protein-specific IgGs to the SARS-CoV-2 neutralization was lower in convalescents compared to vaccinees, indicating that those who recovered from COVID-19 were armed with antibodies of additional specificities and/or classes that contributed to virus neutralization. Such findings point to the need to re-examine the correctness of certain epidemiological measures applied in the current epidemic. We also highlight the importance of a standardized approach in assessing humoral immunity by the usage of the most comprehensive assays as early as possible in future epidemics.