bluuebunny/crossref_metadata_2025_split huggingface dataset:
Semantic SLAM system for mobile robots based on large visual model in complex environments
Authors: ZHENG CHAO , ZHANG PENG , LI YANAN 
Published: July 2024

Abstract

Intelligent optical detecting tracking technologies play important roles in many fields, one of which is to help unmanned devices such as UAVs, autonomous vehicle and intelligent robots to achieve accurate localization and mapping. For medical and nursing robots, the first step in participating in the treatment and nursing process is to accurately locate their location in the ward, and perceive the surrounding environment of the ward.However, when faced with more complex or constantly changing surrounding environments, especially when medical and nursing robots facing a large flow of medical personnel and patients in wards, the hospital environment is relatively complex, then traditional positioning and mapping methods based on geometric features such as points and lines cannot achieve accurate results for medical nursing robots. In this paper, combined with the characteristics of complex dynamic environments encountered in actual wards, we propose a method to obtain high-level semantic information in the surrounding environment and use it for medical and nursing robot’s localization and mapping. Experiments have shown that the semantic based SLAM technology proposed in this article can help medical and nursing robots achieve more accurate localization and mapping results compared to the current popular SLAM technologies, and the use of semantic information can also enable medical and nursing robots to recognize medical devices, laying the foundation for performing other higher level tasks.
Identification of Emerging Drug Targets for Pulmonary Functions Through Mendelian Randomization Analysis of the Plasma Proteome
Authors: Liang Jinghao , Lin Yijian , Liu Yuanqing , Lin Hongmiao , Xie Zixian , Wu Tongtong , Zhang Xinrong , Zhou Xinyi , Tan Zhaofeng , Cheng Ziqiu , Yin Weiqiang , Guo Zhihua 
Published: July 2024

Abstract

Background
The deterioration of lung function is strongly linked to a heightened risk of several diseases and an increase in mortality. Conditions such as COPD, ILD and asthma are notably connected to this decline. Proteins with genetic associations hold potential as promising therapeutic targets to enhance lung function.
Method
Initially, we assessed 4907 plasma genetic markers through MR at deCODE to identify links with lung function, pinpointing potential therapeutic targets. This was followed by pathway analysis, bidirectional MR, Steiger filtering, and colocalization analysis to establish causal links and investigate therapeutic potential. Utilizing this dual-stage network MR design, the mediation effects of proteins in the linkages between smoking, BMI, and lung functions were estimated. Validation was performed utilizing additional datasets from two external databases. Finally, we evaluated the druggability and associated side effects, paving the way for therapeutic interventions in pulmonary conditions.
Result
This study identifies multiple proteins as promising therapeutic targets for lung function, adhering to Bonferroni standards. Genetically predicted protein levels of 38, 28, and 37 proteins significantly correlate with FEV1, FVC, and FEV1/FVC, respectively, with these results replicated across databases. No reverse causality was found, and Bayesian colocalization analysis shows that 15 proteins share genetic loci with lung function. Some proteins mediate pathways by which BMI and smoking affect lung function. 5 proteins are noteworthy therapeutic targets. Finally, target proteins are associated with few side effects in PheW-MR.
Conclusion
Our finding indicated that the identified proteins could potentially serve as effective therapeutic targets for lung function.
The co-expression of Crohn’s disease and colon cancer network was analyzed by bioinformatics-CXCL1 Tumour microenvironment and prognosis-related gene CXCL1
Authors: Mao Zijuan , Gu Yuyang , Dai Qiang , Tao Ganxue , Fei Zhenhua , Xu Yangjie 
Published: July 2024

Abstract

Purpose
This study aimed to investigate the molecular links and mechanisms between Crohn’s disease (CD) and colorectal cancer (CRC).
Methods
This study used the Gene Expression Omnibus (GEO) database to identify Differentially expressed genes (DEGs) in CD (GSE112366) and CRC (GSE110224), analyzed by 'edgeR' and 'limma'. The Gene Ontology and the Kyoto Encyclopedia of Genes and Genomes explored DEG functions, and the Search Tool for the Retrieval of Interacting Genes (STRING) informed the protein-protein interaction network construction visualized in Cytoscape (version 3.7.2). Cyto-Hubba identified key genes, whose biomarker potential for CD and CRC was evaluated.
Results
The study discovered 61 DEGs, with 44 up- and 17 down-regulated, linked to immune responses and signaling pathways. CXCL1, highly expressed in colon cancer, correlated with better prognosis and lower staging. It also showed associations with immune infiltration and checkpoint molecules, suggesting a role in cancer progression and retreat.
Conclusion
CXCL1 may play a role in the development of colorectal cancer from inflammatory bowel disease.
Methylene Blue Reduces Monoamine Oxidase Expression and Oxidative Stress in Human Cardiovascular Adipose Tissue
Authors: Aburel Oana-Maria , Brăescu Laurențiu , Buriman Darius G. , Merce Adrian P. , Bînă Anca M. , Borza Claudia , Mornoș Cristian , Sturza Adrian , Muntean Danina M. 
Published: July 2024

Abstract

Cardiovascular diseases represent the major cause of morbidity mainly due to chronic heart failure. Epicardial (EAT) and perivascular adipose tissues (PVAT) are considered major contributors to the pathogenesis of cardiometabolic pathologies. Monoamine oxidases (MAOs) are mitochondrial enzymes recognized as sources of reactive oxygen species (ROS) in cardiometabolic pathologies. Methylene blue (MB) is one of the oldest protective agents, yet no data are available about its effects on adipose tissue. The present pilot study was aimed at assessing the effects of MB: i) on MAO expression and ii) oxidative stress in EAT and PVAT harvested from patients with heart failure subjected to cardiac surgery (n=25). Adipose tissue samples were incubated with MB (0.1 µM/24h) and used for the assessment of MAO gene and protein expression (qPCS and immune fluorescence) and ROS production (confocal microscopy and spectrophotometry). The human cardiovascular adipose tissues contain both MAO isoforms, predominantly MAO-A. Incubation with MB reduced MAOs expression and oxidative stress; co-incubation with serotonin, the MAO-A substrate, further augmented ROS generation, an effect partially reversed by MB. In conclusion, MAO-A is the major isoform expressed in EAT and PVAT and contribute to local oxidative stress; both effects can be mitigated by methylene blue.
Synthesis, enzyme inhibition and molecular docking studies of novel 1,2,4-oxadiazole thioether derivatives
Authors: ÖLMEZ Nevin ARIKAN , NOMA Samir Abbas Ali , KAYA Yunus , OSMAN Bilgen 
Published: July 2024

Abstract

A new series of thioethers containing 1,2,4-oxadiazole ring were synthesized by the modified Riemschneider Reaction. The corresponding thiocyanate derivatives of 1,2,4-oxadiazoles were obtained in good yields by the reaction of 3-aryl-5-chloromethyl-1,2,4-oxadiazole compounds with NH4SCN in triethylene glycol at 60 °C as a new method. Thioether derivatives were synthesized by reacting 5-thiocyanato-3-aryl-1,2,4-oxadiazole with various tertiary or secondary alcohols in solvent-free conditions for 10-30 minutes at 60 °C. The synthesized compounds were characterized by various spectroscopic methods (FTIR, 1H NMR, 13C NMR, HRMS). All 1,2,4-oxadiazole-thioethers were tested for xanthine oxidase (XO), acetylcholinesterase (AChE), and butyrylcholinesterase (BChE) inhibition potential. The results showed that 4 h has more potential inhibition activity than positive control for XO (IC50= 0.41 ± 0.067 µM) and AChE/BChE (IC50= 0.95 ± 0.42 µM / 1.49 ± 0.45 µM) and is considerably greater than other compounds. Moreover, our experimental study was supported by molecular docking to describe the binding mode of new structures to enzymes.
Correlation Between Invariable Blood Proteins and Heart Rate Variability in Long-Duration Space Flights
Authors: Pastushkova Ludmila , Rusanov Vasily , Goncharova Anna , Kashirina Darya , Nosovsky Andrey , Luchitskaya Elena , Krapivnitskaya Tatyana , Larina Irina 
Published: July 2024

Abstract

The article analyzes how long-duration space missions effect on the heart rate variability parameters and invariable blood proteins. The results are discussed taking into correlation between them. Seven Russian cosmonauts took part in the research during their missions to the International Space Station. Samples of dry blood drops were collected as part of the space experiment ''OMICs-SPK'', electrocardiogram samples were collected as part of the space experiment "Cardiovector". It was established a linear relationship between the concentrations of some proteins and spectral analysis parameters of heart rate at all stages of space flight. In the context of the physiological cardiovascular regulation, the linear correlation found between the six invariant proteins and HRV may be evidence of how and to what extent an adaptive regulation system provides flexible control over the periphery when several processes influence each other. The heart rate variability provides high adaptability, which makes it possible to quickly cope with the challenges of an aggressive and changing environment, maintain homeostatic processes and provide valuable information about the body's ability to function effectively in microgravity.
Mitochondrial genome of critically endangered enigmatic Kazakhstan endemic desert dormouse Selevinia betpakdalaensis (Rodentia: Gliridae) and its phylogenetic relationships with other dormice species
Authors: Petrova¹ Tatyana V. , Panitsina¹ Valentina A. , Bodrov¹ Semyon Yu. , Abramson¹ Natalia I. 
Published: July 2024

Abstract

Dormice (family Gliridae), is an ancient group, in the Oligocene and Early Miocene it was the entirely dominant rodent family, and current diversity is represented with few extant species. The Kazakhstan endemic, desert dormouse Selevinia betpakdalaensis is one of the most enigmatic dormouse species. The lack of genetic data did not allow Selevinia to be included in the previous molecular phylogenetic analysis. In the current study we report the first genetic data for S. betpakdalaensis as well as mitochondrial genomes for several other species of the Gliridae family (Myomimus roachi and Glirulus japonicus) retrieved from the museum specimens and Graphiurus murinus assembled from SRA data. The assembled mitochondrial genomes were combined with available mitochondrial data from the Genbank to reconstruct the mitochondrial phylogeny of Gliridae. Taking into account the distortion of the phylogeny as a result of the analysis of the saturated third codon position, we obtained for the first time a resolved phylogeny of the subfamily. The first split within Gliridae (separation time of the Leithiinae subfamily) is estimated as an average of 34.6 Mya, while Graphiurinae and Glirinae subfamilies divergence time is assessed about 32.67 Mya. Phylogenetic analysis confirmed the relationship between Selevinia and the mouse-tailed dormouse genus Myomimus previously shown based on cranial and mandibular morphology.
The biological synthesis, characterization, and therapeutic utility of Fusarium oxysporum silver nanoparticles
Authors: Sikkander A. Mohamed , Yasmeen Khadeeja , Haseeb. Mohamed 
Published: July 2024

Abstract

The use of fungi in the safe, economical, and ecologically benign synthesis of silver nanoparticles is emerging as a major field in nanotechnology. The fungus Fusarium oxysporum is used in the current study to investigate the biological synthesis of silver nanoparticles. Since putrefying banana fruit, the assessment fungus that was derivative after PDA was inaccessible. Proceeding the foundation of morphologic traits, Fusarium oxysporum was acknowledged. The mechanism of silver nanoparticle making by the fungus Fusarium oxysporum was considered. The situation remained originate that as soon as exposed to silver ions, Fusarium oxysporum harvests silver nanoparticles. When the produced nanoparticles were examined using UV-Vis spectroscopy, the peak of the spectra was found to be at 420 nm. Silver nanoparticles were subjected to a TEM-based morphological analysis, which revealed that the particles are spherical in shape and have a diameter of between 50 and 100 nm. The TEM analysis of the fungus's response to the silver ion suggests that the protein may be in charge of stabilizing the silver nanoparticles. A large-scale biosynthesis process for "microbial nanotechnology" would benefit greatly from the speedy synthesis of silver nanoparticles.
Preparing flake nanocelluloses with hydrophobic surface from the spent liquor of cellulose nanocrystals
Authors: Li Jiebai , Liu Dongyan , Jia Xilin , Guan Guangguang , Zhang Wenbo , Wei Jingyuan , Zhou Yangtao 
Published: July 2024

Abstract

It is of great value to reuse of the dissolved carbohydrates from the spent liquor produced in the acid hydrolysis process of cellulose nanocrystals (CNCs). In the present study, a special flake-like nanocellulose crystals (FCNCs) were self-assembled from the dissolved cellulose chains with low molecular weight via a "bottom-up" approach. The average diameters of FCNCs were 712 nm, with thickness in the range of 3 ~ 3.5 nm. They exhibited superior thermal stability relative to CNCs. XRD characterization revealed that the FCNCs with the cellulose type II structure possessed the hydrophobic (110) plane as the exposed surface which endowed the material with relatively hydrophobic property. Confirmed by the contact angle tests, the water contact angle value of FCNCs film was as high as 72.0°, almost twofold of that of CNCs film.
Prognostic Value of Cellular Senescence, Lymphatic Proliferation, and Histological Findings in the Follow-up of Post-covid-19 Interstitial Lung Disease Sequelae.
Authors: Pilia María Florencia , Sansano Irene , Varona Diego , Sánchez-Calleja Marina , Romero-Mesones Christian , Espejo David , Culebras Mario , Cruz María Jesús , Muñoz Xavier , Ojanguren Iñigo , Ramón Santiago 
Published: July 2024

Abstract

BACKGROUND
In some patients post COVID-19 interstitial lung disease (ILD) sequelae persist beyond 6 months after hospital discharge. Little is known about the pathophysiology of this condition. This study aimed to determine the prognostic value of certain histopathological findings, cellular senescence, and lymphatic proliferation in patients with ILD sequelae.
METHODS
This prospective observational study of patients hospitalized at Vall d’Hebron University Hospital due to COVID-19 pneumonia and presenting respiratory symptoms, radiological alterations, and pulmonary function test impairment during the 3-month follow-up visit after discharge. Lung cryobiopsies were performed, and the histopathological findings and expression of senescence and lymphatic proliferation (P16 and D2-40) were analyzed.
RESULTS
Between March 2020 and February 2021, 4,332 patients were hospitalized at Vall d’Hebron University Hospital due to COVID-19 pneumonia, and 1,403 were visited in the Respiratory Clinic 3 months after discharge. The first 66 patients presenting with respiratory symptoms, radiological alterations, and decreased pulmonary function tests during the post hospitalization follow-up underwent cryobiopsy for diagnostic purposes. Multivariate regression showed that Masson bodies in the 3-month cryobiopsy were related to a higher forced vital capacity at 6 months whereas higher expression of senescence and lymphatic proliferation markers, such as P-16 and D2-40, in the histological samples were related to decreased carbon monoxide transfer test values at 6 months.
CONCLUSION
Senescence and lymphatic proliferation are related to worse pulmonary function outcomes in the mid-term follow-up of patients with post-COVID-19 ILD.
Study on the effect of root system of grass irrigation plants on the reinforcement of iron tailing sands.
Authors: Hai Long , Fan Guoli , Zhao Yabo , Wang Jiarui 
Published: July 2024

Abstract

Aiming at the problems of shallow destabilization and soil erosion that are prone to occur when rainfall falls on slopes in the iron tailings mine area, research was carried out on the mechanical effects of the root systems of grass-irrigated plants (alfalfa, purple clover, and purple fringe acacia) on the reinforcement of iron tailings mine sands.It used single root tensile test and indoor straight shear test to analyze the degree of impact of each factor on the shear resistance of 2 vegetation genres on iron tailings sands.The findings of the test indicate that: (1)There was a power feature function relationship exists as between root tensile force and root diameter of the 2 plant species, and the individual root tensile strength was correlated in negative way with the root diameter.(2)The shear strength and cohesion of the root-tailings sand complex gradually increased with increasing root content.it has a relatively small variation in the angle of internal friction and an optimal root content exists.The root system improves the shear strength of tailings sands mainly in terms of increased cohesion.(3)The root-tailings sand composite has the same trend in shear strength and cohesion,it increases and then decrease with the moisture content., but the change in the angle of internal friction is not significant.In conclusion, the study of the tensile and shear resistance characteristics of the root system of irrigated grasses can provide a reference for the reinforcement of iron tailings slopes.
Effect of chloroplast ATP synthase on reactive oxygen species metabolism in the cotton cytoplasmic male sterile line Jin A
Authors: Zhang Li , Jing Panpan , Geng Biao , Shi Jinjiang , Zhang Jinlong , Liang Dong , Yang Yujie , Qu Yunfang , Huang Jinling 
Published: July 2024

Abstract

Background
Abnormal programmed cell death in the tapetum is induced by reactive oxygen species (ROS), which are the main factors leading to cytoplasmic male sterility (CMS). These abnormalities are caused by genetic interactions between nuclear and cytoplasmic genes. No studies have investigated the role of chloroplast ATP synthase in ROS metabolism.
Results
To explore the role of chloroplast genes in ROS metabolism, sequencing of the chloroplast genome from the next generation and single-molecule real-time sequencing of chloroplast DNA from the CMS line Jin A were performed. The results showed that the length of the chloroplast genome of the CMS line Jin A was 160,042 bp, and the genome consisted of 131 genes, including 112 functional genes. Analysis of the functional annotation and sequence comparison showed that Jin A CMS plants had 29 genes annotated with single nucleotide polymorphisms compared to Gossypium hirsutum plants, including ATP synthase subunits, NAD(P) H-quinone redox reductase subunits, and photosystem complex subunit genes. Compared to those of Jin B maintainer plants, the relative expression of atpB, atpE, and atpF significantly decreased in the anthers of Jin A CMS plants at the microspore abortion stage. The relative expression of these genes in the three-line hybrids F1 significantly increased compared with that in the Jin A CMS plants. The ROS levels in the leaves increased in the atpE and atpF silenced cotton plants.
Conclusions
In summary, our study showed that atpE and atpF of ATP synthase subunits gene were closely related to ROS metabolism. These results provide a basic information for the analysis of ATP synthase function in cotton.
Feature selection and modeling forest tree canopies using supervised and unsupervised neural network self-organizing maps (case study: District 2, Kacha, Rasht, Iran)
Authors: Asl Sima Lotfi , Navroodi Iraj Hassanzad , Kalteh Aman Mohammad 
Published: July 2024

Abstract

Canopy is a component of gross primary production, and the corresponding dimensions reflect tree health. There is a need to study canopies in the forests of northern Iran, in particular the Hyrcanian Forests, due to their unique biodiversity, endangered conditions, and their role in climate moderation. The sampling was executed using a systematic random method with grid dimensions of 150 × 200 meters. In these circular sample plots, each covering an area of 0.1 hectares, the sampling intensity was designated at 3.3%.. Within each plot, in addition to recording topographical attributes such as elevation, slope, aspect, and of trees greater than 7.5 centimeters(DBH) essential data was gathered. The current study aims to use the SSOM neural network to estimate forest tree canopies in the District 2, Kacha using self-organizing maps (SOM)-selected variables. The SOM neural network results reveal the significant role of the elevation, slope, aspect, and diameter at breast in the map structure. After selecting major features affecting tree canopies with the SOM neural network, elevation, slope, aspect, and diameter at breast variables were introduced to the supervised self-organizing maps (SSOM) neural network to estimate Fagus Orientalis Lipsky, Carpinus betulus L., Diospyros lotus L., Alnus subcordata CAM, and Parrotia persica (DC) CAM tree canopies. The result show that the SOM neural network focuses on key factors to increase modeling efficiency by removing unnecessary data and improving prediction accuracy by ensuring the use of selected variables. Further more, the strong performance of SSOM neural network in tree canopy estimation, particularly Fagus Orientalis trees, by utilizing SOM-selected features. It further highlighted the network's ability to use selected features for accurate and reliable estimations.
Emerging Harris Hawks Optimization for the Environmental Prediction of Mycotoxins in Food-Virtual Water Samples: A Comparative Study of Nature-Inspired Algorithms
Authors: Usman Abdullahi G. , Mati Sagiru , Naganna Sujay Raghavendra , Daud Hanita , Suleiman Ahmad Abubakar , Ishaq Aliyu Ismail , Abba Sani I. 
Published: July 2024

Abstract

The need for qualitative determination of mycotoxins in food samples is of paramount importance in designing procedures for their prevention, as well as understanding their adverse effects on humans and animals. In this article, a machine learning technique, specifically support vector regression (SVR) hyphenated with two metaheuristic algorithms - Harris-hawks optimization (HHO) and Particle Swarm Optimization (PSO) models (i.e., SVR-HHO and SVR-PSO) was used to forecast the chromatographic behaviour of various classes of mycotoxins in food samples. Three different metrics were employed to anticipate the model's performance: mean square error (MSE), correlation coefficient (CC), and Nash-Sutcliffe efficiency (NSE). The simulation results showed that the M3 input variable combination demonstrated higher performance accuracy than M1 and M2 with both SVR and its hybridized versions (SVR-HHO and SVR-PSO) during both the training and testing stages. In general, the hybridized model, based on the used assessment measures, SVR-HHO performed better in the training and testing phases than the other two data-driven techniques. Overall, the results show that employing chromatographic techniques, machine learning and metaheuristic approaches can both accurately predict the qualitative characteristics of mycotoxins in food samples.