bluuebunny/crossref_metadata_2025_split huggingface dataset:
Overpartitions into distinct parts
Authors: Nadji Mohammed Lamine , Ahmia Moussa 
Published: November 2022

Abstract
We discuss a restricted overpartition, called overpartitions into distinctparts, by exploring its combinatorial and arithmetic properties, as well as providingboth generating function and bijective proofs, we also present some of its identities,beside a few congruences and asymptotic approach, the second part of this paperwill be about some new results on partitions and overpartitions.
Can the delta neutrophil index differentiate bacterial infection without bacteremia from viral infection in pediatric febrile patients?
Authors: Kim Maro , Lee Jin Hee , Kwak Young Ho , Kim Hyun Kyung , Kwon Hyuksool , Suh Dongbum , Kim Do Kyun , Lee Ha Ni , Kim Jin Hee , Jue Jie Hee , Hwang Soyun 
Published: November 2022

Abstract
Introduction
The delta neutrophil index (DNI) is a reported marker that can be used to predict the diagnosis, prognosis, and disease severity of bacteremia and sepsis.
We determined whether the DNI is useful in differentiating bacterial infection without bacteremia from viral infections in pediatric febrile patients in the emergency department (ED).
Method
This study involved a retrospective analysis of patient medical records from the pediatric ED of the teaching hospital. After extracting the list of patients with complete blood count (CBC) and DNI data,patients with bacterial infection (BI) without bacteremia and those with viral infection (VI) were identified.
The primary outcome was the diagnostic performance of DNI in differentiating BI without bacteremia from VI. The secondary outcome was a comparison of the diagnostic performances of DNI, CRP, WBC, and neutrophil count between the two groups.
Results
After excluding 756 patients, a total of 574 patients were included in the study. A total of 151 (26.3%) patients were in the BI group, and 423 (73.7%) were in the VI group. There was no significant difference in DNI between the two groups (3.07 (2.52~3.63) vs. 3.51 (2.40~4.62), mean (95% CI), BI vs. VI). There was no difference in WBC count, neutrophil levels, or RDW between the two groups, but CRP levels were significantly higher in the BI group than in the VI group (1.39 (1.19~1.60) vs. 4.56 (3.66~5.45), mean (95% CI), VI vs. BI, p < 0.05). The AUROCs achieved in analyses of DNI, WBC count, neutrophil levels, RDW, and CRP levels were 0.5016, 0.5531, 0.5631, 0.5131, and 0.7389, respectively, and only CRP levels were helpful in differentiating BI from VI.
Conclusion
In the absence of bacteremia, DNI wound not be helpful in differentiating BI from VI in pediatric febrile patients.
Evaluation of Lablab (Lablab purpureus L.) genotypes for Fodder production and their Nutritive Values for low lands of Southwest Ethiopia
Authors: Aleme Melkam , Mengistu Gezahegn , Tulu Dereje , Bogale Ararsa , Dejene Mesfin 
Published: November 2022

Abstract
The study was conducted to evaluate thirteen pre-screened lablab purpureus (L) genotypes out of ninety eight genotypes that introduced from ILRI Addis Ababa, Ethiopia for their potentials on dry matter and forage yield and also chemical compositions and in-vitro dry matter digestibility under lowland conditions of South West Ethiopia. The experiment was performed in three locations for two consecutive years during 2018–2019 and 2020–2021 cropping season. It performed by using completely randomized block design with three replications and analyzed by using SAS software version 9.3. Dry matter yield was significant (p < 0.001) whereas, seed yield was not significant (p > 0.05) among the genotypes. The second level interaction effect genotype-year-location was not significant (p > 0.05) for both dry matter and seed yield. However, the first level genotype-location interaction effect was significant at (p < 0.001) for dry matter and (p < 0.05) for seed yield. Those show that the genotypes vary in performances across the condition of study location. Genotypes indicated in T6 and T8 were better yield advantage for dry matter and seed yield with 72.1% and 21.1% and also 62.2% and 8.9% over the standard check (Gebisa) respectively. The stability of genotypes was estimated using the mean yield of genotypes (xi), regressing coefficient (bi) and regression deviation mean square (s2di). Stability analysis shows that even though the better stable genotypes are 11613 and 10953 genotypes in terms of dry matter yield, 11619 and 14459 were the most stable in terms of seed yield. These suggest that better performed and stabile genotypes need to be further evaluated on live animal performance through feeding trials including other agronomic activities for better production and productivity.
New Binary Sequences with Low Odd Correlation Via Interleaving Technique
Authors: Liu Bing , Qi Yanfeng , Tang Chunming , Yang Yang 
Published: November 2022

Abstract
Even correlation and odd correlation of sequences are two kinds of measures for their similarities. Both kinds of correlation have important applications in communication and radar. Compared with vast knowledge on sequences with good even correlation, relatively little is known on sequences with preferable odd correlation. In this paper, a generic construction of sequences with low odd correlation is proposed via interleaving technique. Notably, it can generate new sets of binary sequences with optimal odd correlation asymptotically meeting the Sarwate bound.
Mathematics Subject Classification: 11B50, 11B65, 11B83.
Coastscapes for a Metaverse: From height maps to virtual vegetated environments
Authors: Gross Felix , Petersen Lennart , Wallmeier Carolin , Karstens Svenja 
Published: November 2022

Abstract
Communicating environmental changes and scenarios to stakeholders and decision-makers can be challenging. Immersive environments offer a novel tool to transfer knowledge and allow the interactive discussion of scenarios. With the increase of space- and airborne remote sensing and coherent classification of ecosystems, many large-scale geospatial datasets are produced. Virtual environments can play an important role in conveying and discussing the findings gathered from these datasets. However, textured meshes and point clouds directly imported to a virtual reality are not always suited to create a truly immersive environment and often poste geometrical artifacts, which are miss-interpreted during the import to a game engine. In our study, we use an asset-based approach to create an immersive virtual representation of a coastscape. The focus hereby is on the coastal vegetation and changes in species distribution, potentially triggered by climate change impacts. We present an easy-to-use blueprint for the game engine EPIC Unreal Engine 5. In contrast to traditional virtual reality environments using static textured mesh data derived from photogrammetry, this asset-based approach enables the use of dynamics and physical properties (e.g. vegetation moving due to wind or waves) which makes the virtual environment more immersive.
Neutrino-induced Charged Current Electroweak Transition from Lambda-to Sigma-hyperon
Authors: Sheka Mohammed Jouhar , Adera Gashaw Bekele 
Published: November 2022

Abstract
In this paper, we present a fully relativistic description of charged current (CC) neutrino-hyperon scattering process near and above the threshold energy. The main focuses were the evaluations of the invariant matrix element (IME) and differential cross section (DCS) within the framework of the Glashow-Weinberg-Salam (GWS) model. By employing the standard model the exact expression of leptonic tensor in semi-leptonic electroweak interactions was determined. However, the hadronic tensor involves a vertex which is not fully understood by the electroweak theory since hyperons are composite particles. As such, hadronic vertex was parameterized by three unknown form factors to account for the effects of strong interaction. Then the unknown form factors were determined in the framework of the Cabibbo V-A theory and SU(3) symmetry. The angular distributions show that the DCS attains its peak near the forward scattering angles, whereas the energy distributions of the DCS indicate that dominate contribution comes from incident energies near the threshold energy. Based on our results, the quasielastic CC process under study can be considered as an intermediate energy phenomena as its DCS tends to vanish in high energy region.
Segmentation of COVID-19 lesions on computed tomography images: An approach using U-Net and pre-processing techniques
Authors: Marques Júlio , Ferreira José , Veras Rodrigo , Araujo Flavio , Carvalho-Filho Antonio , Silva Romuere 
Published: November 2022

Abstract
COVID-19 is an infectious disease caused by the novel coronavirus (SARS-COV-2). The global number of cases and deaths totaled 587 million and 6.4 million in August 2022. As this disease is highly contagious, the diagnosis must be made at its early stage to take necessary measures, including isolating the patient. In addition to the diagnosis, it is also essential to identify how this disease presents itself in patients, observing the involvement of the lungs. With this, it is possible to follow the evolution of this disease in the patient. Thus, we present a segmentation approach using U-Net, combined with a pre-processing and data augmentation methodology. In this work, we used several experiments where the K-Fold represents the best evaluation method. The methodology proposed in this experiment obtained the following metrics: 78.40% ± 0.05 from Dice, 64.80% ± 0.07 IoU, 78% ± 0.07 Sensitivity, and 100% ± 0.00 Specificity.
Microglia-derived exosomal miR-302a-3p suppresses ferroptosis to alleviate cerebral ischemia/reperfusion injury by inhibiting neuronal ferritinophagy via regulating the Keap1/Nrf2 axis
Authors: Yu Zhengtao , Zhuo Yi , Peng Jun , Li You , Jiang Junwen , Zhang Jikun , Xia Ying , Wang Lei 
Published: November 2022

Abstract
Objective: Recently, the protective effect of exosomes on ischemia/reperfusion (I/R) injury has become a research hotspot. The purpose of this study was to explore the therapeutic potential of microglia-derived exosomes on cerebral I/R injury.
Methods: BV2 cell-derived exosomes (BV2-Exo) were extracted and characterized. The cerebral I/R model was constructed in vivo and intervened by using exosomes loaded with miR-302a-3p. The oxygen and glucose deprivation (OGD) model was constructed in vitro to simulate cerebral I/R injury. The binding sites of miR-302a-3p to Keap1 were analyzed by bioinformatics prediction and confirmed by dual-luciferase reporter assay. A study of whether exosomal miR-302a-3p affected cerebral I/R injury via the Keap1/Nrf2 axis was carried out by overexpression of keap1 (oe-keap1).
Results: Experimental results in vivo showed exosomal miR-302a-3p significantly repaired the cognitive impairment and suppressed the apoptosis of hippocampal neurons induced by cerebral I/R injury. Besides, exosomal miR-302a-3p inhibited the expression of ferroptosis-related proteins NCOA4, PTGS2, and p53 in cerebral I/R-treated mice. Bioinformatics prediction and double-luciferase reporter assay showed that Keap1 was the direct downstream target of miR-302a-3p. Experiment results in vitro showed that oe-Keap1 reversed the therapeutic effect of exosomal miR-302a-3p on cerebral I/R injury via the Keap1/Nrf2 axis, promoting the high expression of NCOA4, PTGS2, and p53 and the increase of Fe2+, MDA and ROS levels.
Conclusion: The results demonstrated that microglia-exosomal miR-302a-3p suppressed ferroptosis to alleviate cerebral I/R injury by inhibiting neuronal ferritinophagy via regulating the Keap1/Nrf2 axis.
Multi-innovation gradient estimation for multivariate systems with colored noise based on the maximum likelihood principle
Authors: Liu Lijuan 
Published: November 2022

Abstract
The parameter estimation problems of the multivariate equation-error systems whose outputs are contaminated by an autoregressive noise process are studied by using the maximum likelihood principle and the coupling identification concept. The key is to decompose the system into several regressive identification subsystems based on the number of the outputs. By means of the negative gradient search, a multivariate coupled maximum likelihood generalized stochastic gradient algorithm is derived. In order to improve the parameter estimation accuracy, a multivariate coupled maximum likelihood multi-innovation generalized stochastic gradient algorithm is proposed by introducing the multi-innovation identification theory. The simulation example indicates that the proposed methods work well.
A tentative view on the GNSS receiver measurements
Authors: Xinli Zhou 
Published: November 2022

Abstract
In order to understand a problem in the ranging of GNSS receiver, by analyzing the starting point of the actual propagation distance of satellite signals in space, select a sufficient number of known geodetic coordinate points in a large range on the ground, and use the same number of GNSS receiver to conduct synchronous observation of more than four satellites in the sky. Conducting correlation analysis on the three coordinate axis direction errors ⊿x, ⊿y, and ⊿z of the GNSS three-dimensional rectangular coordinate value of this batch of known points, thus obtaining a tentative view that the GNSS range finding should actually take the spatial coordinates of the satellite when the receiver receives the satellite signal as the starting point!
WITHDRAWN: Non-Interference Pattern with Two Equal Maximum Intensities
Evolving to Interference Pattern with One Maximum Intensity
--- Novel Phenomena of Standard Double Slit Experiments
Authors: Peng Hui 
Published: November 2022

Abstract

The standard interpretation of Young’s double slit experiment is that the light behaves as waves before and after passing through the diaphragm of the double slit. There is one primary maximum intensity at the central position of the interference pattern. Recently, the photon chamber has been proposed and utilized to study the behavior of photons near the detecting screen. The experiments show that the light, near the screen, behaves as photons propagating along the straight-line trajectories that distribute as waves. Furthermore, the photon chamber placed near the double slit shows non-interference pattern.
In this article we show how the non-interference pattern evolving gradually to the interference pattern: (1) at 50 mm from the diaphragm of the double slit, the non-interference pattern shows and has two primary maximum intensities (Figure on left); (2) at 150 mm, there are two shape-changed maximum intensities (Figure at middle); (3) at 400 mm, the non-interference pattern evolves to the regular interference pattern (Figure on right). Those phenomena provide information for theoretical development.
Feature selection for software defect prediction using an improved firefly algorithm
Authors: Cao Lianglin , Ben Kerong , Zhang Xian , Song Li , Yang Jiahui , Peng Hu 
Published: November 2022

Abstract
As all we know, the performance of the data-based learning models heavily depend on the quality of data that feature selection (FS) method is used to reduce the redundant features and irrelevant features to improve the classification performance. In this research, a feature selection method using an improved firefly algorithm (FA) is proposed to address the "curse-of-dimensionality" problem in software defect prediction (SDP). In the proposed method, where simulated annealing (SA) approach is used to avoid falling into local traps, a multi-group strategy is employed to obtain a promising optimal solution to the optimization problems, called the multi-group simulated annealing firefly algorithm (MSAFA). To evaluate the performance of MSAFA, excessive experiments have been conducted on a total of 28 optimization benchmark problems (CEC2013) and 6 class-imbalanced datasets selected from the NASA repository. In the comparison with other state-of-the-art swarm-based intelligence algorithms, MSAFA outperforms them to provide the optimal solutions to most optimization problems and SDP models. In short, the proposed feature selection method can obtain the promising solution to support data-based classified models in SDP
Medicinal Chemistry of Pyrazolopyrimidine Scaffolds Substituted with Different Heterocyclic Nuclei
Authors: Elgemeie Galal H. , Azzam Rasha A. , Zaghary Wafaa A. , Khedr Mohammed A. , Elsherif Gihad E. 
Published: November 2022

Background:Medicinal chemistry of pyrazolopyrimidine scaffolds substituted with different heterocyclic nuclei has attracted great attention due to their wide range of biological activities that have been reported. Pyrazolopyrimidine scaffold is an important privileged heterocycle nucleus in drug discovery.Methods:All pharmacological activities of pyrazolopyrimidine scaffold have been mentioned, such as anticancer, anti-inflammatory, antihypertensive, antitubercular, antiviral, antibacterial, antifungal, antidiabetic, and anti-obesity agents. In addition, it was used in both osteoporosis and neurological disorders. The difference in potency and bioavailability of pyrazolopyrimidine derivatives refers to the substituent groups that can increase the activity against specific targets and enhance their selectivity.Results:This review provides an overview of different synthetic pathways, structure activity relationships, and preclinical studies of pyrazolopyrimidine scaffolds substituted with a variety of heterocyclic nuclei, as well as it provides a discussion on the significant biological findings of these important scaffolds. In addition, it provides some insights on the different macromolecular targets that pyrazolopyrimidine scaffold can effectively work on, such as; cyclin dependent kinases; CDK2, CDK7, and CDK9, checkpoint kinases; CHK1 and CHK2 and their correlation with the anticancer activity, PI3Kα, transient receptor potential canonical 6, B-Raf kinase, Interleukin- 1 receptor-associated kinase 4, B-cell lymphoma 6, TRKA-C kinase, potent kDa ribosomal protein S6 kinase, colon cancer cell line (CaCo-2), domain receptor kinase (KDR), HepG-2 carcinoma cell, FLT3. The antibacterial activity against B. subtilis and E. coli and antifungal activity against C. albicans, C. tropicalis, A. niger, and A. clavatus are discussed.Conclusion:This review provides an overview of the different pharmacological activities of the pyrazolopyrimidine scaffold and its correlation with chemical structure. Some exciting new developments in pyrazolopyrimidine scaffolds are also presented in this review.
An Overview of Recent Advances in Isatin-Based Multicomponent Reactions
Authors: Mohammadi Ziarani Ghodsi , Panahande Zahra , Mohajer Fatemeh , Goodarzi Mohammad , S. Varma Rajender 
Published: November 2022

Abstract:
Isatin has been widely deployed in multicomponent reactions to prepare diverse heterocyclic compounds, which have garnered the attention of organic chemists considering their anti-inflammatory, anti-microbial, and antiviral activities, among others. This review discusses the applications of isatin in multicomponent reactions from 2019 to 2022. Isatin has been used as a raw material in multicomponent reactions due to its diverse biological and therapeutic activities. This overview may help stimulate the readers to exploit such convergent strategies in their synthetic endeavors.
Characterization of Oligomer Formation of Surfactant Protein-D (SP-D)
Using AF4-MALLS
Authors: Manning Mark Cornell , Manning Ryan R. , Holcomb Ryan E. , Katayama Derrick S. , Pauletti Giovanni M. , Grant Shawn N. , Rosenbaum Jan S. 
Published: November 2022

Background:
Surfactant protein-S (SP-D) is a naturally occurring lung protein with the potential
to treat pulmonary infections. A recombinant surfactant protein-D (SP-D) has been produced
and was previously found to exist in multiple oligomeric states.

Introduction:
Separation and characterization of interconverting oligomeric states of a protein can be
difficult using chromatographic methods, so an alternative separation technique was employed for SPD
to characterize the different association states that exist.

Methods:
Samples of SP-D were analyzed using asymmetrical flow field-flow fractionation (AF4)
using UV and multi-angle laser light scattering (MALLS) detection. The AF4 method appears to be
able to separate species as small as the monomer up to the dodecamer (the dominant species) to much
larger species with a molar mass greater than 5 MDa.

Results:
Consistent elution of four distinct peaks was observed after repeated injections. The largest
species observed under the last peak (labeled as Peak 4) were termed “unstructured multimers” and
were resolved fairly well from the other species. The AF4-MALLS data suggest that only a small fraction
of Peak 4 truly corresponds to high molar mass unstructured multimers. All other peaks demonstrated
significant molar mass homogeneity consistent with AFM results.

Conclusion:
AF4-MALLS technology appears to be a powerful analytical approach to characterize the
complex and dynamic interplay among different protein oligomeric species of SP-D in an aqueous solution.
MicroRNAs in the Pathogenesis of Ankylosing Spondylitis and
their Clinical Implication
Authors: Fu Lanqing , Wang Guobo , Deng Wei , Lu Yu 
Published: November 2022

Abstract:
Ankylosing spondylitis (AS) is a chronic and progressive immunoinflammatory
disease, which mainly affects the spine and sacroiliac joints and shows a
high rate of late disability. Inflammation, bone destruction, and new bone formation are
typical pathological changes of AS. AS is dominated by inflammation at the early stage.
While bone destruction and heterotopic ossification, the two contradictory manifestations
of AS, occur at a later stage and reflect the imbalance between osteogenesis
and osteoclastogenesis in AS patients. Till now, the pathogenesis of AS remains unclear.
MicroRNAs (miRNAs) are a class of highly conserved single-stranded noncoding
RNAs (ncRNAs) with a length of about 22 bases characterized by temporal
sequence and tissue specificity. MiRNAs are key modulators in bone formation, resorption,
remodeling and regeneration by regulating the immune responses and the
differentiation and functions of osteoblasts, osteoclasts and chondrocytes. The present
review summarizes the roles and potential mechanisms of miRNAs’ involvement in AS
by regulating immuno-inflammatory responses, bone destruction, heterotopic ossification,
cell death and autophagy, and the involved signaling including the Wnt/β-catenin
and BMP/Smads pathways. In addition, the feasibility of miRNAs as diagnostic biomarkers
and therapeutic targets for AS are also discussed.