bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tenacious Fish Swarm Optimization Based Hidden Markov Model (TFSO-HMM) for Augmented Accurate Cotton Leaf Disease Identification and Yield Prediction
Authors: Govindasamy S , Jayaraj D 
Published: August 2023

Abstract
This research presents an innovative approach called Tenacious Fish Swarm Optimization based Hidden Markov Model (TFSO-HMM) for augmented accurate cotton leaf disease identification and yield prediction. Cotton leaf diseases significantly threaten crop productivity, requiring timely detection and precise prediction for effective disease management. The proposed TFSO-HMM framework combines the strengths of Tenacious Fish Swarm Optimization (TFSO) and the Hidden Markov Model (HMM) to address the challenges associated with disease identification and yield prediction in cotton plants. TFSO, a nature-inspired optimization algorithm, optimizes the classification process, enhancing the accuracy of disease identification. By harnessing the collective intelligence of fish swarms, TFSO intelligently explores the search space to identify the optimal solution. The selected information is then incorporated into the HMM framework, which captures the temporal dependencies in disease progression and yield prediction. HMM's sequential modelling approach facilitates understanding the dynamic behaviour of cotton leaf diseases over time, leading to more accurate predictions. Experimental results on a comprehensive dataset demonstrate the superior performance of the TFSO-HMM method over existing approaches in terms of accuracy and predictive capability. The augmented accuracy achieved through TFSO-HMM enables early detection and precise prediction of cotton leaf diseases, enabling timely interventions for disease management and maximizing crop yield.
Multiple System Atrophy With Intractable Fever: A Case Report
Authors: yu dandan , Li He , Tang Wei , Wang Wei 
Published: August 2023

Abstract
Background
Multiple system atrophy (MSA) is a rare neurodegenerative disease with rapid progression and poor prognosis. It mainly affects the extrapyramidal system, cerebellum and autonomic nervous system as well as the hypothalamus.
Case presentation:
A 71-year-old woman who had a fever for two months. Although there were evidence of urinary tract infection and pulmonary infection, her temperature did not decrease after treatment. Six years ago, she gradually developed dysuria, unstable walking and bradykinesia. Magnetic resonance imaging (MRI) revealed the atrophy of the brainstem and cerebellum. Hot-cross-bun sign (HCB) in pons indicated that she was diagnosed with possible multiple system atrophy. The involvement of the hypothalamus lead to the disorder of thermoregulation and hormone secretion. Her condition improved after the treatment of bromocriptine.
Conclusions
Our case adds to the number of cases of multiple system atrophy as a rare symptom of intractable fever. It also provides a new treatment idea for multiple system atrophy.
Endoscopic injection of N-butyl-2-cyanoacrylate with Lauromacrogol causing tiny emboli formation in the right atrium: a case report
Authors: Hu W. J. , Hu J. Q. , Lv D.N. , Han B. 
Published: August 2023

Abstract
Background In previous case reports, ectopic embolism caused by endoscopic cyanoacrylate injection was identified and diagnosed several days after the patient had undergone treatment. It is rare for an embolus to be observed in time for the patient to undergo endoscopic treatment. This may be the first case report in which emboli were immediately observed during endoscopic cyanoacrylate injection.Case presentation A male patient in his mid-40s with gastric variceal hemorrhage developed a decreased blood pressure immediately after cyanoacrylate injection with Lauromacrogol. The patient’s blood pressure was restored after repeated administration of phenylephrine. Multiple tiny emboli entering the pulmonary circulation through the right atrium were observed on echocardiography, which were presumed to have contributed to the patient’s intraoperative hypotension. Postoperatively, the patient did not show any clinical signs of ectopic embolism and was safely discharged on postoperative day 8.Conclusions Hemodynamic fluctuations after endoscopic cyanoacrylate injection suggest the possibility of microemboli entering the pulmonary circulation. Transthoracic echocardiography can help to promptly detect microemboli.
Compartmentalized Mitochondrial Ferroptosis Converges with Optineurin-mediated Mitophagy to Impact Airway Epithelial Cell Phenotypes and Asthma Outcomes
Authors: Wenzel Sally 
Published: August 2023

Abstract

A stable mitochondrial pool is crucial for healthy cell function and survival. Altered redox biology adversely affects mitochondria through activation of a variety of cell death and survival pathways, yet the understanding of mitochondria and their dysfunction in human disease states is modest. Ferroptosis, an iron dependent, oxidative stress associated programmed cell death pathway, is tightly associated with the generation of reactive hydroperoxy-phospholipids and development of mitochondrial abnormalities. Mitophagy is a programmed phospholipid-membrane associated process to preserve mitochondria and prevent cell death. This report identifies a lipoxygenase orchestrated, mitochondrially compartmentalized ferroptotic process, not associated with cell death, but with fewer and/or dysfunctional mitochondria. This ferroptosis tightly couples with Optineurin-PINK-PARKIN mediated mitophagy which limits actual mitochondrial loss and protects against cell death. These combined processes lead to markedly altered epithelial cell phenotypes which associate with worsened asthma severity. Targeted interventions in the ferroptotic portion of this process could preserve mitochondria, reverse cell phenotypic changes and improve disease outcomes.
Temporal and spatial variation characteristics of lakes in Qilian Mountains from 1990 to 2020 and analysis of meteorological factors
Authors: Zhao Tingting , Zhang Xiaoping , Li Zongxing , Chen Hu , Li Jiayao 
Published: August 2023

Abstract
Lakes are sensitive indicators of climate change. Based on the lake dataset and Landsat remote sensing data, we analyzed the changes in area and number of lakes(>1km2) in the Qilian Mountains from 1990 to 2020, as well as the boundary changes of lakes(>100km2). In addition, we discussed the impact of climate change on lake area. The results showed that: (1) From 1990 to 2020, the total area and total number of lakes in the Qilian Mountains showed an overall increasing trend, with a total area increase of 492.47km2 and a total number increase of 10. Among them, Qinghai Lake, Hala Lake, Xiao Qaidam Lake, and Nauru Nor Lake showed an overall expansion trend, while Caka Salt Lake and Da Caidam Lake showed an overall shrinking trend. (2)The main reasons for the expansion of Qinghai Lake and Hala Lake was the increase in precipitation, while the main reason for the expansion of Xiao Qaidam Lake and Nauru Nor Lake was the increase in temperature and precipitation. The main reason for the shrinkage of Caka Salt Lake was the enhancement of evapotranspiration. (3) Lakes in the Qilian Mountains were mainly expanding, which has a good promoting effect on improving the ecological environment of this region and even larger area. However, we should also pay attention to problems such as floods and salt-alkali land caused by lake expansion in a timely manner. In addition, governments and all sectors of society should take corresponding measures to alleviate further shrinkage of Caka Salt Lake.
Dynamic Neurovascular Coupling during Sleep Inertia: An EEG-fMRI Fusion on Post-sleep Arousal and Spectral Slope
Authors: Wang Zhitong John , Lee Hsin-Chien , Chuang Chun-Hsiang , Hsiao Fan-Chi , Hsu Ai-Ling , Wu Changwei 
Published: August 2023

Abstract
Upon emergence from sleep, individuals experience temporary hypo-vigilance and grogginess known as sleep inertia. During the transient period of vigilance recovery from prior nocturnal sleep, the neurovascular coupling (NVC) may not static and constant as assumed by previous neuroimaging studies. Stemming from this viewpoint in sleep inertia, this study aims to probe the NVC changes dynamically as awakening time prolongs using simultaneous EEG-fMRI. The time-lagged coupling between EEG features of vigilance and BOLD-fMRI signals, in selected regions of interest, was calculated with one pre-sleep and three consecutive post-awakening resting-state measures. We found marginal changes in EEG theta/beta ratio and spectral slope across post-awakening sessions, demonstrating alterations of vigilance during sleep inertia. Dynamic NVC as awakening prolonged was evidenced by the changing time lags of the peak correlation between EEG-vigilance and BOLD-thalamus, as well as BOLD-anterior cingulate cortex (ACC) and EEG spectral slope. This study provides the first evidence of potential dynamicity of NVC in sleep inertia and opens new avenues for non-invasive neuroimaging investigations into the neurophysiological mechanisms underlying brain state transitions.
First experimental demonstration of real-time neutron capture discrimination in helium and carbon ion therapy
Authors: Kielly Marissa , Caracciolo Anita , Chacon Andrew , Vita Davide Di , Mohammadi Akram , Tashima Hideaki , Franklin Daniel R. , Yamaya Taiga , Rosenfeld Anatoly , Carminati Marco , Fiorini Carlo , Guatelli Susanna , Safavi-Naeini Mitra 
Published: August 2023

Abstract
This work provides the first experimental proof of an increased neutron capture photon signal following the introduction of boron to a PMMA phantom during helium and carbon ion therapies in Neutron Capture Enhanced Particle Therapy (NCEPT). NCEPT leverages 10B neutron capture, leading to the emission of detectable 478 keV photons. Experiments were performed at the Heavy Ion Medical Accelerator in Chiba, Japan, with two PMMA targets, one bearing a boron insert. The BeNEdiCTE gamma-ray detector measured an increase in the 478 keV signal of 45 ± 7% and 26 ± 2% for carbon and helium ion irradiation, respectively. Our Geant4 Monte Carlo simulation model, developed to investigate photon origins, found less than 30% of detected photons originated from the insert, while boron in the detector’s circuit boards contributed over 65%. Further, the model investigated detector sensitivity, establishing its capability to record a 10% increase in 478 keV photon detection at a target 10 B concentration of 500 ppm using spectral windowing alone, and 25% when combined with temporal windowing. The linear response extended to concentrations up to 20000 ppm. The increase in the signal in all evaluated cases confirm the potential of the proposed detector design for neutron capture quantification in NCEPT.
Comparison of 3D-cDFT and GCMC Simulations for Fluid-Structure Analysis in Amorphous Carbon Nanoporous Materials
Authors: Santos Lucas J. dos , Soares Elvis do A. , Barreto Amaro G. , Tavares Frederico W. 
Published: August 2023

Abstract

Investigating fluid behavior in nanoporous materials is essential for gas storage, separation, and catalysis applications. Here, we present a comparison of two computational methods for fluid-structure analysis in amorphous nanoporous carbon materials: three-dimensional (3D) classical Density Functional Theory (cDFT) and Grand Canonical Monte Carlo (GCMC) simulations. We extended our recent development of 3D-cDFT to allow density-profile analysis without symmetry assumptions, enhancing its applicability to a broader range of porous materials. We provide a theoretical overview and discuss the advantages and limitations of each method. Our results highlight the accuracy of both 3D-cDFT and GCMC simulations while emphasizing differences in computational cost, precision, and scope. We also explore the impact of the non-crystalline structure of amorphous carbon nanopores on fluid structure and adsorption isotherms, as well as fluid-fluid and fluid-solid interactions. We offer insights for selecting computational methods in fluid structure analysis of nanoporous materials, guiding future research and optimization in advanced material development for diverse applications.
Multispecies-Coadsorption-Induced Rapid Preparation of Graphene Glass Fiber Fabric and Applications in Flexible Pressure Sensor Based on the Hierarchical Conductive Configuration
Authors: Liu Zhongfan , Wang Kun , Sun Xiucai , Cheng Shuting , Cheng Yi , Huang Kewen , Liu Ruojuan , Yuan Hao , Li Wenjuan , Liang Fushun , Yang Yuyao , fan Yang , kangyi Zheng , zhiwei Liang , Tu Ce , mengxiong Liu , mingyang Ma , yunsong Ge , muqiang Jian , Yin Wan-Jian , Qi Yue 
Published: August 2023

Abstract

Direct CVD growth of graphene on dielectric/insulating materials is a promising strategy for subsequent transfer-free applications of graphene. However, graphene growth on noncatalytic substrates is faced with thorny issues, especially the limited growth rate, which severely hinders the mass production and practical applications. Herein, graphene glass fiber fabric (GGFF) was developed by graphene CVD growth on glass fiber fabric. Dichloromethane is creatively applied as carbon precursor to accelerate graphene growth, which has a low decomposition energy barrier, and more importantly, the produced high-electronegativity Cl radical can enhance adsorption of active carbon species by Cl−CH2 coadsorption and facilitate H detachment from graphene edges. Consequently, ~3 orders of magnitude increase of growth rate and ~960 times increase of carbon utilization, compared with conventional methane precursor, were realized. The advantaged hierarchical conductive configuration of lightweight, flexible GGFF makes it a ultrasensitive pressure sensor for human motion and physiological monitoring, such as pulse and vocal signals.
WITHDRAWN: The anti-hyperuricemic and gut microbiota regulatory effects of a novel purine assimilatory probiotic strain
Authors: Zou Yuan , Ro Kum-Song , Jiang Chentian , Yin Deyi , Zhao Li , Zhang Daihui , Du Lei , Xie Jingli 
Published: August 2023

Abstract
Lactiplantibacillus plantarum X7022, a novel probiotic strain, exhibited gastrointestinal viability as 44% at the dose of 109 CFU/mL in mice. The strain possesses a complete purine assimilation pathway and can exhaust xanthine, guanine, and adenine by 82.1%, 33.1%, and 12.6%, respectively. After four-week administration of the strain, a significant decrease of 35.5% in the serum uric acid level in potassium oxonate and hypoxanthine induced hyperuricemic mice was realized. The activity of hepatic xanthine oxidase was normalized. Furthermore, the expression of glucose transporter 9 and urate transporter 1 were downregulated by 12.4% and 37.6%, while organic anion transporter 1 was upregulated by 23.4% in kidney. The treatment also alleviated renal inflammation and restored renal damage. Importantly, the strain played critical roles on improving gut microbiota dysbiosis in hyperuricemic mice through depressing inflammation or hyperuricemia related flora and promoting the abundance of short-chain fatty acid (SCFA) production-related flora. As a result, the diminished fecal SCFAs contents were remarkably elevated. Therefore, L. plantarum X7022 is a promising probiotic strain for ameliorating hyperuricemia.
The Hefei Aging Study: a population-based prospective cohort study investigating chronic disease and lifestyle on cognitive impairment in an urban population
Authors: Zhang Wei , Wang Yongkang , Zhang Xianzuo , Li Yi , Fang Xiang , Luo Mengqi , Wu Jun , Zhang Mengmeng , Ge Yuhao , Ding Xiping , Shen Yong , Shi Jiong , Zhang Weiwei 
Published: August 2023

Abstract

Background
The global aging population has led to a rise in dementia, posing challenges to medical professionals and society. Chronic disease and lifestyle factors have been associated with dementia risk, but the effect of these factors on the development of dementia remains unclear. This study aims to investigate these risk factors and to establish a prediction model by using heart and brain imaging studies, and blood biomarkers.
Methods
Residents aged over 50 years and living in four urban communities in Hefei, China were recruited in this study. The participants underwent a series of assessments including face-to-face interviews, clinical examinations, genetic and blood tests, neuropsychological tests, cardiac ultrasound, carotid ultrasound, and brain magnetic resonance imaging scans.
Results
From January 2019 to July 2021, a total of 730 participants were enrolled in the baseline assessment, with an average age of 61.33 ± 7.01 years and mean scores of 27.09 ± 3.29 and 21.84 ± 5.06 on the MMSE and MOCA, respectively, with a relatively high level of education. The overall prevalence of common chronic diseases was high. Hypertension and diabetes mellitus were the top two, affecting more men than women. Women had a higher prevalence of angina pectoris, arrhythmias, hyperlipidemia, and stroke. The prevalence of hypertension, angina pectoris, arrhythmia, hyperlipidemia, and diabetes mellitus increased with age.
Conclusions
Our findings suggest a high prevalence of chronic diseases among the elderly urban population and highlight the need for proactive measures to address these issues.
Improved A*-DWA fusion path planning algorithm with ideal path area constraints
Authors: Cao Yibo , Yang Zhengdong , Liu Haoxin , Zhao Jiaheng , Fan Jingwen 
Published: August 2023

Abstract
Navigation of mobile robots in unknown environments continues to be a common and challenging problem in robotics. In order to improve the mobile robot to obtain the global optimal path and real-time obstacle avoidance capability, this paper proposes a new fusion algorithm based on A* algorithm and DWA (Dynamic Window Approach) algorithm. First, compared with the classical Dijkstra algorithm and BFS(Best First Search) algorithm, the A* algorithm is optimized in path search. Although adding heuristic functions to the A* algorithm can reduce a large number of useless search nodes, experiments show that there are still many useless search nodes, and the obtained global path is not a feasible path in some cases or will increase the movement time significantly, and unsafe paths. In this paper, we add the ideal path area constraint to the A* algorithm, and then integrate the DWA algorithm to address the problem that the A* algorithm is not suitable for real-time obstacle avoidance in dynamic obstacle environments. Simulation results show that the improved A* algorithm can significantly reduce the number of nodes to be searched and decrease the running time of the DWA algorithm compared with the traditional Dijkstra, BFS, and A* algorithms.
Effect of non-thermal sulphur hexafluoride cold plasma modification on surface properties of polyoxymethylene
Authors: Chodkowski Michał , Terpiłowski Konrad , Románszki Loránd , Klébert Szilvia , Mohai Miklós , Károly Zoltán , Aidarovad Saule , Turganbay Seitzhan , Argimbayev Dias , Sarsembekova Raziya 
Published: August 2023

Abstract
This paper deals with the surface modification of polyoxymethylene by the low-pressure non-thermal RF plasma using the sulphur hexafluoride plasma gas. The plasma treatment was performed based on various processing parameters including time, gas flow rate and plasma power. The effects were estimated on the basis of surface wettability determined by the water contact angle measurements. Morphological changes of the material surface were studied by scanning electron microscopy and optical profilometry. X-ray photoelectron spectroscopy was employed to reveal the differences in the chemical structure of the topmost layer after plasma modification. It was found out that changes in the surface properties of the polymer could be observed even after 20 seconds of treatment. The surface becomes hydrophobic or superhydrophobic, with the water contact angles up to 160 degrees. Morphological changes and increased roughness can be observed only in the nanoscale, whereas the structure seems to be unaffected in the microscale. As a result of plasma modification a permanent hydrophobic effect was obtained on the polyoxymethylene surface.
Coordination divergence of the multi-systems in the Yangtze River Delta and its influencing factors from a coupled carbon reduction perspective
Authors: Xuan Wei , Zhang Wen , Yin Bidan , Zhao Liwei , Lu Yanfei , Tang Junhan 
Published: August 2023

Abstract
In the context of global warming, urban agglomerations need to consider the coupling degree between the urban environmental system and the urbanization system represented by the "Economic-Social-Housing-Public" systems, in relation to carbon emissions. This is of great importance to support regional carbon reduction. This paper constructs the evaluation index system of urbanization and urban environment system. It analyses the current status and coordination divergence of multi-systems in the Yangtze River Delta region in 2000–2019, using the CRITIC weights method and the coupled coordination model. Then, this paper uses the GeoDetector model to sort out the weights of the indicators affecting the coupled coordination degree and the interactions among the indicators based on the consideration of the geographical characteristics. The results show that: (1) The level of urbanization system, the level of environmental system and the degree of coupled coordination have increased significantly from 2000 to 2019. However, there are large regional differences, with the provincial capital and its periphery clearly different from the peripheral areas. (2) More than economic and ecological indicators. Several indicators of residential and public systems actually have a significant impact on the degree of coupled adjustment. (3) Carbon emissions are found to have an increasing weight on the degree of regional coupled coordination year by year, becoming one of the most important factors in 2019. (4) In terms of influencing factors, coupled coordination is a synergistic effect of several factors. There is an obvious "1 + 1 > 2" relationship between technology and environmental indicators.