bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of stretch on sarcomere length variability in isolated fully relaxed rat cardiac myocytes
Authors: Lookin Oleg , Boulali Najlae , Cazorla Olivier , Tombe Pieter 
Published: June 2023

Abstract
The contractility of cardiac muscle is greatly affected by preload via the Frank-Starling Mechanism (FSM). It is based on the preload-dependent activation of sarcomeres – the elementary contractile units in muscle cells. Recent findings show a natural variability in sarcomere length (SL) in resting cardiomyocytes that, moreover, is altered in an actively contracting myocyte. SL variability may contribute to the FSM but it remains unresolved whether the change in the SL variability is regulated by activation process per se or simply by changes in cell stretch, i.e. average SL. To separate the roles of activation and SL, we characterized SL variability in isolated fully relaxed rat ventricular cardiomyocytes (n = 12) subjected to a longitudinal stretch with the carbon fiber (CF) technique. Each cell was tested in three states: without CF attachment (control, no preload), with CF attachment without stretch, and with CF attachment and ~ 10% stretch of initial SL. The cells were imaged by transmitted light microscopy to retrieve and analyze individual SL and SL variability off-line by multiple quantitative measures like coefficient of variation or median absolute deviation. We found that CF attachment without stretch did not affect the extent of SL variability and averaged SL. In stretched myocytes, the averaged SL significantly increased while the SL variability remained unchanged. This result clearly indicates that the non-uniformity of individual SL is not sensitive to the average SL itself in fully relaxed myocytes. We conclude that SL variability per se does not contribute to the FSM in the heart.
Identification of Immune-Associated Genes in Diagnosing Polycystic Ovary Syndrome with Metabolic Syndrome by Weighted Gene Co-expression Network Analysis
Authors: Xu Yi , Gu Yihui , Shen Yang , Feng Wen 
Published: June 2023

Abstract
Background: Dysregulated immune system and metabolic dysfunction take an essential impart on the pathogenesis of polycystic ovary syndrome (PCOS) and metabolic syndrome (MS). The purpose of this study is to identify the key immune-Associated genes of PCOS patients with MS.
Methods: Three PCOS and one MS dataset from the Gene Expression Omnibus (GEO) database were downloaded. After the data sets were combined with the de-batch effect, analysis was conducted using methods such as differentially expressed genes (DEGs), weighted gene co-expression networks (WGCNA), functional enrichment, protein-protein interaction (PPI) network construction, and LASSO regression, which were used to identify candidate immune-related essential genes for diagnosing the combination of these two diseases. Evaluate the obtained genes through ROC and ultimately explore abnormalities in PCOS through immune cell infiltration analysis.
Results: The merged PCOS dataset contains 1513 differentially expressed genes (DEGs), with 691 identified by MS. DEGs of MS were primarily enriched in immune regulation and metabolic dysfunction. The crossed gene functions of DEGs in PCOS and module genes in MS are also mainly enriched in the immune system and metabolic dysfunction. We screened 35 node genes from 57 cross genes through the PPI network and selected six candidate genes using the lasso regression method. Five genes analyzed by the ROC curve had high diagnostic values (RAB4B, SFP91, ARHGAP33, LIME1, and SHMT2) (area under the curve from 0.72 to 0.89). Finally, an imbalance in the proportion of immune cells in PCOS was also observed.
Conclusion: Five candidate genes were identified as the final diagnostic markers. Our conclusion can provide potential diagnostic candidate genes for patients of MS with PCOS.
Compositional shifts and assembly in rhizosphere-associated fungal microbiota throughout the life cycle of Japonica rice under increased nitrogen fertilization
Authors: Dong Hangyu , Sun Haoyuan , Chen Conglin , Zhang Mingyu , Ma Dainrong 
Published: June 2023

Abstract
Background
Soil fungal microbiomes facilitate a range of beneficial functions for their host plants, and rhizosphere fungal community composition, richness, and diversity affect plant growth, development, and crop yield. Therefore, exploring the community structure and assembly of the rhizosphere fungal microbiome and its relationship with soil biochemical properties are fundamental to elucidating how rice plants benefit from their fungal symbionts.
Results
In this study, soil samples were collected at seedling, tillering, heading, and ripening stages of rice subjected to three levels of nitrogen fertilization. Plant growth demonstrates a substantial influence on fungal community composition and diversity. From the tillering to ripening stage, the fungal communities were governed by homogenizing dispersal and dispersal limitation. The prevalence of Glomeromycota, the beneficial fungi, was considerably higher during the heading stage compared to the three other growth stages. This increase in abundance was strongly associated with increased levels of soil nutrients and enhanced activity of nitrogen acquisition enzymes. This may be a strategy developed by rice grown in flooded soil to recruit beneficial fungi in the rhizosphere to meet high nitrogen demands.
Conclusions
Our study findings contribute to elucidating the influence of plant development and nitrogen fertilization on the structure and composition of the fungal community as well as its relationship with soil key nutrient content and nitrogen-related enzyme activities, and illustrate how a shift in the fungal community mediates and reflect the effects of nitrogen fertilization input in rice agroecosystems. These findings provide new insights into the effects of changes in nitrogen application in rice rhizosphere at different growth stages on fungal communities and soil biochemical characteristics.
Axial intensity characteristics of Hypergeometric-Gaussian type II beam in maritime turbulence
Authors: Khannous F. , Chib S. , Belafhal A. 
Published: June 2023

Abstract
In this study, the propagation characteristics of the Hypergeometric-Gaussian type II (HyGG-II) beam in a turbulent maritime atmosphere are investigated theoretically. Using the extended Huygens-Fresnel integral formula, the on-axis average intensity of these beams traveling through in maritime turbulence is derived in closed-form under the Rytov method. Also, some special cases of average intensity of the HyGG-II beam are been extracted from the obtained results. The dependence of the on-axis intensity on the parameters of the incident HyGG-II beam and the turbulence strength has been determined. From typical numerical examples, it is shown that the HyGG-II beam loses its dark central spot, when its on-axis intensity reaches a limit value at certain propagation distance zmax, and after that the beam returns to its original hollow shape. For small constant strength turbulence, small parameter hollowness large initial beam waist size and large topological charge, the disappearance speed is slow. The obtained results can be used in the design of an optical wireless communication link design operating in marine atmosphere.
Nasal symbiont Staphylococcus epidermidis restricts influenza virus replication via the creation of a polyamine-deficient cellular environment
Authors: Jo Ara , Kim Kyeong-Seog , Won Jina , Shin Haeun , Kim Sujin , Kim Bora , Kim Da Jung , Cho Joo-Youn , Kim Hyun Jik 
Published: June 2023

Abstract
Background
Studies on the immune-regulatory roles played by the commensal microbes residing in the nasal mucosa consider the contribution of mucosal immune responses. Here, we sought to identify the nasal microbiome, Staphylococcus epidermidis-regulated antiviral immune responses and the alteration of polyamine metabolites in nasal epithelium.
Results
We found that polyamines were required for the life cycle of influenza A virus (IAV) and depletion of polyamines disturbed IAV replication in normal human nasal epithelial (NHNE) cells. Inoculation of S. epidermidis also suppressed IAV infection and the concentration of polyamines including putrescine, spermidine, and spermine was completely attenuated in S. epidermidis-inoculated NHNE cells. Interestingly, the activity of enzymes related to polyamine production was reduced and the cellular export of polyamines was activated in NHNE cells depending on S. epidermidis inoculation.
Conclusion
Our findings demonstrate that human nasal commensal S. epidermidis contributes to shape a polyamine-deficient cellular environment and restricts IAV replication in the nasal epithelium.
Investigating the Effect of Spatial and Temporal Variabilities of Rainfall on Catchment Response
Authors: Ziaee Pardis , Abedini Mohammad J. 
Published: June 2023

Abstract
Rainfall, as the most important process of the hydrological cycle, has significant variabilities in time and space. Obviously, when it comes to flood management decisions, an insight on the impact of such variabilities can play a key role in reducing flood-related losses. In this study, the effects of rainfall spatiotemporal variabilities and the storm center location on the characteristics of the catchment outflow hydrograph, by using numerical experiments based on synthetic data, have been investigated. For this purpose, by introducing two different deterministic and stochastic rainfall generation models, more than 600 rainfall events with special specifications and correlation structures have been generated for Walnut Gulch catchment which is located in Arizona, the US. After calibrating the distributed MIKE-SHE rainfall-runoff model for a sub-catchment in the basin, the model is implemented over the entire catchment with synthetic rainfall of specified characteristics to answer the research questions raised. The results of the simulations indicate: 1- The location of the storm center has a significant effect on the characteristics of the outflow hydrographs. The nearer the location of the storm center to the outlet is, the higher the peak magnitude and the lower the time to peak will be. 2- Spatial and temporal resolution of the monitoring network has a considerable effect on the outflow hydrograph characteristics, especially on the peak magnitude. As spatial and temporal resolutions decrease, peak magnitude is underestimated and time to peak is overestimated. 3- The lower the correlation of rainfall events in space is, the higher the effect of spatial resolution on outlet hydrograph characteristics will be. 4- Rainfall correlation in time doesn’t seem to alter the effect of rainfall temporal resolution on the catchment response. In conclusion, it can be said that the accurate estimation of the outflow hydrograph requires access to a relatively high spatial and temporal resolution monitoring network.
Reproductive Phenotypes of Dehydroepiandrosterone-Induced Polycystic Ovary Syndrome Mouse Model Cannot be Maintained after Treatment Withdrawal
Authors: Wu Haowen , Zhao Bining , Yao Qiyang , Kang Jihong 
Published: June 2023

Abstract
Background
Polycystic ovary syndrome (PCOS) is the most common endocrinopathy associated with infertility and metabolic disorder in women of reproductive age. Animal models have been developed and used as tools to unravel the pathogenesis of PCOS, among which most postnatal models employ continuing experimental manipulations. However, the persistence and stability of these animals after modeling is unknown. Dehydroepiandrosterone (DHEA)-induced PCOS mouse model is commonly used in PCOS studies. Thus the aim of the present study was to investigate the reproductive features of DHEA-induced PCOS mice fed a normal chow or an high-fat diet (HFD) with treatment withdrawal or consecutive treatments after PCOS mouse models were established.
Methods
Prepubertal C57BL/6J mice (age 25 days) were injected (s.c.) daily with DHEA on a normal chow or a 60% HFD for 20 consecutive days to induce PCOS mouse models. Mice injected with the vehicle sesame oil were used as controls. After 20 days, mice were divided into 2 groups, namely “Continue dosing group” and “Stop dosing group”. The animals were consecutively treated with DHEA or DHEA + HFD, or housed without any treatment for 2 or 4 weeks. Estrous cycles were evaluated during this period. At the end of the experiment, serum testosterone (T) levels were measured and the morphology of ovaries was evaluated.
Results
The mice in Continue dosing groups maintained reproductive phenotypes of PCOS mouse models. In contrast, 2 or 4 weeks after PCOS models were established, the mice with treatment withdrawal in Stop dosing groups exhibited normal serum testosterone levels, regular estrous cycle, and relatively normal ovarian morphology. In addition, even with consecutive treatments, there was no marked difference in body weight between DHEA mice on the normal chow or an HFD in Continue dosing groups and the control animals 3 weeks after modeling.
Conclusions
After PCOS mice were induced with DHEA or DHEA + HFD, the mice still need consecutive treatments to maintain reproductive phenotypes to be regared as PCOS mice that meet the diagnostic criteria of PCOS defined by the 2003 Rotterdam criteria.
Effect of different culture media on the cells growth of Isochrysis galbana, Tetraselmis suecica and Chaetoceros calcitrans
Authors: Tahiri Sanaa , Elmtili Nour Eddine , Boudoudouh Hamza , Elhassani Driss Ameziane , Loulad Hamdi , Aamri Fatima El Aamri El 
Published: June 2023

Abstract

The aim of the present study was to determine the optimal culture medium for the growth of Isochrysis galbana, Tetraselmis suecica and Chaetoceros calcitrans. These microalgae were cultured in three replicates using seven different culture media, including commonly used agricultural fertilizers in hatcheries. The study was conducted in 20 L polycarbonate aquariums, with 15 L of culture under standard experimental conditions of temperature, light intensity, photoperiod, and salinity. The performance of the microalgae was evaluated based on various parameters such as cell concentration, growth rate, division rate, doubling time, cell biovolume, and pH. The results showed that different culture media significantly affected (p < 0.05) the cell concentration of the microalgae. The culture medium based on Kw-21 liquid fertilizer produced the best cell concentrations for Isochrysis galbana and Chaetoceros calcitrans, while the culture medium based on CE fertilizer was the most suitable for Tetraselmis suecica. Other parameters were also significantly affected (p < 0.05) by the experimental factors, except for cell biovolume in Tetraselmis suecica at the stationary phase. The study suggests that using agricultural fertilizers is a viable and cost-effective alternative for mass production of microalgae.
Geometry-Inference based Clustering Heuristic: A New kmeans initialization technique for Gaussian data and Experimental Proof of concept
Authors: Khattabi Mohammed-Zakariae El , Jai Mostapha El , Lahmadi Youssef , Oughdir Lahcen 
Published: June 2023

Abstract
Kmeans is one of the most algorithms that are utilized in data analysis adopting a variety of different metrics; but kmeans was shown to be sensitive to sensitive to the initialization step. Hence, in this paper, a new Geometry-Inference based Clustering heuristic is proposed for selecting the optimal numbers of clusters for kmeans of in other terms, the algorithm initialization. The conceptual approach proposes the “Initial speed rate” as the main geometric parameter to be statistically analysed. The distributions of this latter are then fitted using classical parametric probability distributions. The resulting fitted parameters show salient 2-stages linear behaviour according to the number of clusters within the kmeans process. Thus, the optimal number of clusters k* was assigned to the intersection of the 2 detected lines for all datasets adopted in this work. The benchmark analysis showed that the proposed heuristic is very competitive compared to other kmeans classical metrics.
Secure 3D: Secure and Energy Efficient Localization in 3D Environment using Wireless Sensor Networks
Authors: V Kalpana A , Vijayaraghavan Geetha , Jagade Malla Sree , J Shobana 
Published: June 2023

Abstract
In recent decades, there has been tremendous technological advancement in innovative communications, consumer electronics, and medical electronics. The hot spot of communication technology offers low cost and low power nodes, which led to Wireless Sensor Network (WSN). In WSN, the location of the node is vital to decide the location of an incident called event detection. Localization technologies have been technologically advanced over the last few years by using technical improvement in digital circuitry to offer location and navigation facilities to its users. Localization is required to further functionalities such as routing, self-organization capability, etc. Many methodologies and algorithms have been proposed to solve the localization problem for a 2D or 3D region. Although various studies have been conducted in this field, many of the proposed approaches have yielded unsatisfactory results in 3D localization. However, the usual localization techniques, such as the 3D APIT algorithm and the 3D DV-Hop algorithm, have the following drawbacks: 1) Beacon node localization accuracy is low; 2) coverage rate in sparse environments is low. Obtaining higher localization accuracy is a significant challenge due to the target of an attacker, and the overall network gets collapsed by providing malicious information. The presence of malicious nodes degrades the viability of WSN and offers misguiding location information to sensors, and reduces battery life. The location information in a 3D environment should withstand against malicious nodes and also needs to be secure against attacks. In this paper, a novel Secure 3D algorithm is proposed to overcome the problem of malicious beacon nodes in WSN and provides lower Average Localization Error (ALE) by consuming less energy
Bibliometric analysis of the Vogt‒Koyanagi‒Harada disease literature
Authors: Li Liangpin , Yuan Liyun , Zhou Xueyan , Hua Xia , Yuan Xiaoyong 
Published: June 2023

Abstract
Background:
As an autoimmune disease, Vogt‒Koyanagi‒Harada disease (VKHD) is one of the main types of uveitis in many countries and regions significantly impacting patent’s vision. At present, information regarding VKHD is still limited, and further research is needed. We conducted a bibliometric analysis to characterize the overall status, current trends, and current focus of VKHD research.
Methods:
Literature published from 1975 to 2022 was obtained from the Web of Science core collection and analyzed by the R-language packages Bibliometrix, VOSviewer, and CiteSpace software.
Results:
A total of 1050 papers on VKHD were retrieved from 261 journals and 16,084 references were obtained from the papers in the original search. The average annual number of published articles is approximately 21.9, and the number of publications rapidly increased after 2004. Ocular Immunology and Inflammation is the journal that published the most papers on VKHD, while the American Journal of Ophthalmology has the highest cited frequency. The leading countries were Japan, China (PRC), and the United States of America (USA). Yang PZ. from Chongqing Medical University is the most prolific and cited author. The most frequently cited literature is the literature on the revision of VKHD diagnostic criteria. An analysis of high-frequency keywords showed that the research focused on the treatment, diagnosis, and pathogenesis of VKHD and its relationship with other related diseases. At present, the urgent research direction is the relationship and specific mechanism between COVID-19 or COVID-19 vaccines and VKHD.
Conclusion:
Bibliometrics can clearly show the research history, development trends, and research hotspots of VKHD through dynamic and visualization tools. It is an efficient way to study the literature and is helpful for future researchers.
Effect of graphite particle size on the thermal properties of EG/erythritol CPCM
Authors: Li Yan , Wang Shuo , Tan Wangwang , Zhu Qunzhi 
Published: June 2023

Abstract
Erythritol is a promising medium and low-temperature organic phase change material. To solve the problems of supercooling, leakage, and low thermal conductivity, expanded graphite (EG) with four different particle sizes of 32 mesh, 50 mesh, 80 mesh, and 100 mesh was used as the support material. Shape-stable composite phase change materials (CPCMs) with a mass content of 10% EG were prepared by the "ultrasonic impregnation-drying-pressing" method. The properties were studied. The experimental results showed that 50 mesh EG was more suitable as an adsorption carrier for erythritol. Compared with pure erythritol, the 50 mesh EG/erythritol composite had a lower supercooling degree and higher enthalpy of phase transition, which improved the heat storage/heat release capacity of the material. In this study, the relationship between the supercooling degree of erythritol and EG particle size was analyzed, and EG/erythritol thermal storage materials with high thermal storage density and exothermic density were prepared. It helps to promote the application of EG-based composite thermal storage materials and the development of thermal storage technology.
Effect of steam explosion pretreatment of fast-growing poplar (Populus deltoides x maximowiczii) wood on selected properties of structural substances
Authors: Szadkowski Jan , Szadkowski Jan , Výbohová Eva , Kučerová Viera , Čabalová Iveta , Antczak Andrzej , Szadkowska Dominika , Drożdżek Michał , Zawadzki Janusz 
Published: June 2023

Abstract
The aim of this study was to determine the changes occurring in the wood cellulose of the fast-growing poplar (Populus deltoides x maximowiczii) under the influence of steam explosion (SE) pretreatment. Cellulose from native wood and after pretreatment at 160°C and 205°C was isolated. Cellulose polymerization degree by size exclusion chromatography (SEC) and cellulose crystallinity index by Fourier transform infrared spectroscopy-attenuated total reflectance (FTIR-ATR) were determined. The profiles of sugars in the native wood and in the solid fraction after pretreatment (using the acid hydrolysis method) were also determined. In addition, the profile of monosaccharides in the liquid fraction obtained after steam explosion and in the liquid fraction after acid hydrolysis of the oligosaccharides were investigated using high-performance liquid chromatography (HPLC). This allowed to determine the change in the content of hexoses and pentoses in the studied material. The behavior of cellulose in wood subjected to steam explosion at 160°C and 205°C and isolated by the Kürschner-Hoffer method was studied by determining the absorption bands of FTIR-ATR spectra. The Lateral Order Index (LOI) of cellulose was calculated from the ratio of the intensity of the corresponding absorption bands A1422 cm-1/ A896 cm-1. Total crystallinity index (TCI) of cellulose was calculated from the ratio of the intensity of absorption bands A1372 cm-1/ A2900 cm-1. TCI of Kürschner-Hoffer cellulose isolated from wood subjected to steam explosion at 160°C and 205°C decreased by 5.6% and 5.0% respectively with regard to the applied temperature. LOI increased in cellulose isolated from wood subjected to steam explosion at 160°C (by 0.7%) and at 205°C (by 19.2%) in relation to the index of cellulose isolated from native wood. Kürschner-Hoffer cellulose isolated from wood subjected to steam explosion at 160°C and 205°C exhibited, respectively, a reduced degree of polymerization of about 11% and about 8%. Polydispersity index in Kürschner-Hoffer cellulose was 1% lower after both pretreatments then native sample.