bluuebunny/crossref_metadata_2025_split huggingface dataset:
Event-triggered Stochastic Finite-time Tracking Control of Robot Manipulator with Uncertain Disturbance Neural Network Estimation
Authors: Dang Boyu , Li Haiyan 
Published: February 2024

Abstract
This study presents a novel event-triggered finite-time stochastic control method for a robot manipulator. The random moment of inertia of the manipulator system is expressed by building a stochastic dynamic model, and the parameter variation disturbance is estimated by using a stochastic configuration neural network. An event-triggered controller with uncertain disturbance rejection is proposed, which not only realizes the stochastic finite-time stability of the tracking error system, but also guarantees the safety of motion velocity, and robustly improves the tracking accuracy of the robot manipulator. Compared with the existing works, the obvious feature of the proposed method is that it can simultaneously solve the random disturbance and uncertain parameter disturbance of the manipulator system, save communication resources, and ensure that the manipulator system can reach a steady state in finite time. We also discuss the effectiveness of the proposed stochastic tracking control method. Simulation and comparative analysis results further show that the controller can be updated less frequently while guaranteeing robust tracking performance of the robot manipulator.
Analysis of risk factors of Omicron infection and antibody response in people with HIV: a multi-center cross-sectional study
Authors: Wang Ni , Zhang Dazhi , Shu Chang , Fan Huimin , Lu Ting , Sun Wei , Qin Feng , Song Weijun , Lin Qing , Wang Na 
Published: February 2024

Abstract
[Purpose]Analyse the factors that influence the rate of Omicron infection, symptom severity, symptom duration and antibody levels in PLWH, in particular the role of vaccination. [Methods]We randomly investigated the Omicron infection status in 338 PLWH at multiple centers and examined their WT and Omicron specific antibodies, separately. [Results]Age was the only factor that affected the rate of Omicron infection, severity of symptoms, and duration of symptoms in PLWH. Infection, number of vaccination, ART regimen and time all affect antibody levels.With the increase of number of vaccination, both WT and BA.5 specific antibodies were gradually increased, and the overall antibody levels of PLWH with hybrid immunity were higher than those of PLWH with only vaccine immune. [Conclusions]The prevalence of Omicron is higher and symptoms is more severe in PLWH younger than 40 years, but the duration of symptoms is shorter in PLWH younger than 40 years. Although vaccination does not reduce the infection rate of SARS-CoV-2, it can significantly not only enhance the antibody level against the original strain, but also expand the antibody response against the newly emerged virus variant strain. What’s more, although breakthrough infections still occur, antibody levels can be significantly increased after hybrid immunization. For PLWH at high risk of infection, booster vaccination may be beneficial for them to cope with SARS-CoV-2 normalized infection.
PMW: The Portuguese Man o' War optimization algorithm
Authors: MiarNaeimi Farid , salehnia Taybeh , Hamzehkolaei Naser Safaeian , Ahmadi Mahmood , Mirjalili Seyedali 
Published: February 2024

Abstract
In the present study, the Portuguese Man o' War (PMW) movement on the fishes hunting route was used as a source of inspiration for the development of the PMW optimization algorithm. The Portuguese Man o' War is a marine creature that moves on the surface of the ocean under the wind force, wave surface currents, wave tension and diffusion current. The PMW feeds of hunting the fishes by poisonous strings. Following the movement of this sea creature, it was realized that there was an "irregular discipline" in its life cycle. In this way, in this paper, by simulating the movement of PMWs along with the use of several innovative solutions, a robust and powerful algorithm was created in two phases of exploration and exploitation. The performance of PMW was discussed by unbound test functions as well as bound engineering problems and compared with the results of other new algorithms. The results show that the proposed algorithm performs better or equal to the existing algorithms, both in terms of obtaining the final response and in reducing the number of calls to the objective function.
Remarkable mechanical performance at low temperatures of hydroxy-terminated polybutadiene enhanced by hyperbranched polysiloxane
Authors: Yuan Junshan , Huang Xiaoying , Wang Rui , Feng Weixu , Yan Hongxia 
Published: February 2024

Abstract
The inadequate mechanical properties and limited low temperature adaptability of Hydroxy-terminated polybutadiene (HTPB) impose constraints on its practical utilization in solid propellant applications. In the present investigation, a pioneering approach involved the synthesis of a novel hyperbranched polysiloxane, denoted as HBPSi-NH2, which encompasses -NH2 groups and Si-O-C chains. The HBPSi-NH2 with its unique flexible Si-O-C segments, serving as the soft component in the crosslinked network, in conjunction with the curing agent TDI as the hard component, achieves a synergistic balance of rigidity and flexibility. The resulting HTPB composites not only demonstrate enhanced mechanical properties but also exhibit excellent low temperature adaptability. Remarkably, the HTPB composites exhibit excellent mechanical properties at both 25°C (0.74 MPa ~ 2.08 MPa) and − 40°C (1.77 MPa ~ 12.49 MPa). This enhancement can be ascribed to the abundant presence of functional groups, namely -OH and -NH2. These active groups significantly augment the cross-linking density within the HTPB system, also promote the formation of numerous hydrogen bonds, enhancing the strength of HTPB. Simultaneously, the abundant presence of Si-O-C flexible chain segments within HBPSi-NH2 enhances the reactivity of the HTPB molecular chains, not only improving the toughness of HTPB but also significantly reducing its Tg (-65.95°C to -75.62°C). Furthermore, this study establishes a pivotal direction for the design and synthesis of high-performance HTPB-PU materials.
Cognitive impairment and neurocognitive profiles among people living with HIV and HIV- negative individuals older over 50 years: a comparison of IHDS, MMSE and MoCA
Authors: Chen Panpan , Xin Xin , Xiao Shaotan , Liu Hantao , Liu Xin , He Na , Ding Yingying 
Published: February 2024

Abstract

Background
The aim of our study was to examine potential differences in the assessment of neurocognitive impairment (NCI) using cognitive screening tools between PLWH and HIV-negative individuals, as well as to compare the neurocognitive profiles.
Methods
This was baseline evaluation of Pudong HIV Aging Cohort, including 465 people living with HIV (PLWH) and 465 HIV-negative individuals aged over 50 years matched by age (± 3 years), sex and education. NCI was assessed using the Chinese version of Mini-mental State Examination (MMSE), the International HIV Dementia Scale (IHDS) and Beijing version of Montreal Cognitive Assessment (MoCA).
Results
In total, 258 (55.5%), 91 (19.6%), and 273 (58.7%) of PLWH were classified as having NCI by the IHDS, MMSE, and MoCA, compared to 90 (19.4%), 25 (5.4%), 135 (29.0%) of HIV-negative individuals, respectively (all p < 0.05); such associations Only MMSE revealed sex difference in NCI prevalence among PLWH. PLWH showed a larger overlap of NCI detected by IHDS, MMSE, and MoCA than HIV-negative people. Regarding cognitive domains, IHDS-motor and psychomotor speeds and MoCA-executive function showed the greatest disparities between two groups. In multivariable analysis, older age and more depressive symptoms were positively associated with NCI regardless of the screening tools or HIV serostatus.
Conclusion
PLWH display a higher prevalence of NCI and distinct neurocognitive profiles compared to HIV-negative individuals, despite viral suppression. Our data support that older PLWH tend to have deficits in multiple cognitive domains simultaneously. It is advisable to utilize the cognitive screening tools in conjunction to reveal complex patterns of cognitive deficits among PLWH, especially older PLWH.
Stochastic Sumudu transform and its applications for solving stochastic differential equations
Authors: Alhassoun M. , Abdallah A. M. , Yahya K. , Amer M. 
Published: February 2024

Abstract
This manuscript introduces the development of the stochastic Sumudu transform theory of Itô type for stochastic calculus. We employ the stochastic integration by parts method to achieve this. The purpose of the stochastic Sumudu transform is to solve stochastic differential equations and establish a method for solving them using integral transforms. Furthermore, we derive the Sumudu transforms of commonly used functions in stochastic differential equations. These findings will contribute to the enhancement of literature on stochastic differential equations and have practical applications in fields such as applied mathematics and finance. Additionally, we provide several examples to demonstrate the validity of our work.
Enhancing Precision in Rectal Cancer Radiotherapy: Localized Fine-Tuning of Deep-learning based Auto-segmentation (DLAS) Model for Clinical Target Volume and Organs-at-risk
Authors: Geng Jianhao , Sui Xin , Du Rongxu , Feng Jialin , Wang Ruoxi , Wang Meijiao , Yao Kaining , Chen Qi , Bai Lu , Wang Shaobin , Li Yongheng , Wu Hao , Hu Xiangmin , Du Yi 
Published: February 2024

Abstract
Background and Purpose
Various deep learning auto-segmentation (DLAS) models have been proposed, some of which commercialized. However, the issue of performance degradation is notable when pretrained models are deployed in the clinic. This study aims to enhance precision of a popular commercial DLAS product in rectal cancer radiotherapy by localized fine-tuning, addressing challenges in practicality and generalizability in real-world clinical settings.
Materials and Methods
A total of 120 Stage II/III mid-low rectal cancer patients were retrospectively enrolled and divided into three datasets: training (n = 60), external validation (ExVal, n = 30), and generalizability evaluation (GenEva, n = 30) datasets respectively. The patients in the training and ExVal dataset were acquired on the same CT simulator, while those in GenEva were on a different CT simulator. The commercial DLAS software was first localized fine-tuned for clinical target volume (CTV) and organs-at-risk (OAR) using the training data, and then validated on ExVal and GenEva respectively. Performance evaluation involved comparing the localized fine-tuned model (LFT) with the vendor-provided pretrained model (VPM) against ground truth contours, using metrics like Dice similarity coefficient (DSC), 95th Hausdorff distance (95HD), sensitivity and specificity.
Results
Localized fine-tuning significantly improved CTV delineation accuracy (p < 0.05) with LFT outperforming VPM in target volume, DSC, 95HD and specificity. Both models exhibited adequate accuracy for bladder and femoral heads, and LFT demonstrated significant enhancement in segmenting the more complex small intestine. We did not identify performance degradation when LFT and VPM models were applied in the GenEva dataset.
Conclusions
The necessity and potential benefits of localized fine-tuning DLAS towards institution-specific model adaption is underscored. The commercial DLAS software exhibits superior accuracy once localized fine-tuned, and is highly robust to imaging equipment changes.
Oral cancer cells secrete stress neurotransmitter and proliferate in response to tobacco carcinogen NNK through a cellular adrenergic pathway.
Authors: Verza Flávia Alves , Santos-Sousa Ana Lívia , Oliveira Sandra Helena Penha , Bernabé Daniel Galera 
Published: February 2024

Abstract

Although there is a growing body of evidence showing the effects of stress-related catecholamines on oral cancer progression, to date there are no studies that have investigated whether oral squamous cells carcinoma (OSCC)-cells are capable of producing these hormones and whether this phenomenon is modulated by tobacco-related nitrosamines. In this study we investigated whether keratinocytes (HaCaT) and OSCC-derived cell lines (SSC9 and SCC25) are able to secrete the neurotransmitter norepinephrine (NE) as also the effects of the tobacco carcinogen 4-(Methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK) on the NE secretion and OSCC proliferation. Supernatant from the HaCaT, SCC9, and SCC25 cells showed higher NE levels (6-, 14.9- and 15.1-fold more, respectively) compared to culture media without cells. When the cells were stimulated with NNK, a tobacco-specific carcinogen, there were increases in the levels of NE secretion by HaCaT and SCC25 cells, but not by SCC9 cells. NNK (10 µM) induced cell proliferation in the HaCaT, SCC9, and SCC25 cell lines and these effects were totally inhibited by blocking β-adrenergic receptors with propranolol. The NNK-induced OSCC cell proliferation was further dependent on nicotinic acetylcholine receptors α4 (nAChR-α4) activation (totally in SCC9 cells and partially in SCC25 cells), but not dependent on nAChR-α7 activation. Inhibition of the β-adrenergic receptors, nAChR-α4 and nAChR-α7 did not block NNK-induced HaCaT proliferation. Our findings suggest that oral cancer cells secrete the neurotransmitter norepinephrine and the tobacco nitrosamine NNK promotes increased cell proliferation through a stress-related cellular adrenergic pathway.
Investigation of electrical conductivity and electromagnetic wave absorption capabilities of water hyacinth biocarbon impregnated with Cu atom
Authors: Susilo Sugeng Hadi , Imanudin Azam Muzakhim , Rochman Taufiq , Adhisuwignjo Supriatna 
Published: February 2024

This paper discusses the impregnation of Cu atoms at carbonization temperature of water hyacinth bio carbon composite. This composite is used as an absorber of electromagnetic waves. Because the inference of electromagnetic waves can cause damage to other electronic equipment. In addition, electromagnetic wave radiation can cause various human health problems. The purpose of the research is to obtain a material that is able to absorb electromagnetic waves and increase electrical conductivity, impregnation of Cu atoms at carbonization temperature of water hyacinth bio carbon composite. The composite material uses a composition ratio of water hyacinth powder and phenol-formaldehyde of 30:70. The carburization temperatures used were 600 °C, 800 °C, and 1000 °C with a heat increase rate of 7 °C/minute. This study used Scanning Electron Micrograph (SEM), X-Ray Diffraction (XRD), LCR Meter, and vector network analyzer. The results show that the impregnation of Cu atoms at carbonization temperature can increase the area of the nanostructure, thereby increasing the formation of micropores in the composite. The higher the carbonization temperature, the percentage of Cu and carbon compounds can increase, while the percentage of crystal structure decreases. Impregnation of Cu atoms further strengthens the composite's absorption of electromagnetic wave radiation. Impregnation of Cu atoms in water hyacinth bio carbon composites at carbonization temperature can increase the electrical conductivity of the composite. The results of this research have potential applications in the electronics industry, batteries, and electrical devices, and can be used to protect devices from electromagnetic interference, especially in telecommunications and the medical field
Variability of time duration analysis for rainfall water using precipitation indexes in Hai town
Authors: Al-Humairi Basima Abbas Jabir , Rahal Nadhum Shamkhi 
Published: February 2024

Abstract

Insufficient rainfall has an impact on a variety of natural resources. This work aims to determine the variability of rainfall and drought in Hai town depending on the standardized rainfall index (SRI), rainfall concentration index (RCI), index of wetness (IW), and coefficient of variation (CV). Rainfall series were taken from the Meteorological Station Directorate of Hai Town, Iraq for a period of 30 years (1989–2018). The results indicated that the years 1996 and 2014 had high SRI and were under extremely wet conditions (IW = 195.93 and 165.93, respectively). However, the lowest SRI value was in 2004, with a wetness index of 35.15, whereas the RCI was strongly irregular in rainfall distribution. Also, the CV was highly variable that ranged between 113.78 and 244.01. Mathematical models were created and confirmed for predicting the wetness index using data-fitting software. Model 1 generated best outcomes (R2 = 99.99%, relative error (RE) = 0.221, root mean square error (RMSE = 0.253) and standard error of estimates (SEE = 0.28). The results demonstrated that rain indicators have significant differences and alteration throughout the study period. Hence, the best model for estimating wetness and droughts in Hai town is recommended.
Multifaceted Nature of HuR in Atherosclerosis Development
Authors: Wang Yan-Xia , Zheng Hong-Yu , Zhou Kun , Xie Hai-Lin , Ren Zhong , Liu Hui-Ting , Liu Huan , Zhou Zhi-Xiang , Jiang Zhi-Sheng 
Published: February 2024

Abstract:
HuR (Human antigen R) is an RNA binding protein (RBP) that specifically
binds to certain RNA sequences, influencing post-transcriptional regulation. HuR is primarily
involved in tumor regulation, as well as cell growth, proliferation, inflammation,
and angiogenesis. HuR is implicated in endothelial activation, smooth muscle proliferation,
inflammatory response, macrophage apoptosis, lipid regulation, and autophagy,
playing a crucial regulatory role in atherosclerosis. Accumulating evidence suggests that
HuR has dual roles in AS. On the one hand, HuR expedites the development of AS by facilitating
endothelial activation, smooth muscle proliferation, and inflammation. On the
contrary, it exerts beneficial effects by reducing macrophage apoptosis, regulating lipid
efflux, and increasing autophagy. In this review, we aim to provide a comprehensive
summary of the role of HuR in the development of AS by examining its involvement in
cellular mechanisms, inflammation, autophagy, and apoptosis. Additionally, we discuss
the mechanisms of drugs that target HuR, with the goal of offering new perspectives for
the treatment of AS.
Combating Aminoglycoside Resistance: From Structural and Functional
Characterisation to Therapeutic Challenges with RKAAT
Authors: Otun Sarah Oluwatobi , Graca Richard , Achilonu Ikechukwu 
Published: February 2024

Abstract:
A comprehensive knowledge of aminoglycoside-modifying enzymes (AMEs) and their
role in bacterial resistance mechanisms is urgently required due to the rising incidence of antibiotic
resistance, particularly in Klebsiella pneumoniae infections. This study explores the essential
features of AMEs, including their structural and functional properties, the processes by which they
contribute to antibiotic resistance, and the therapeutic importance of aminoglycosides. The study
primarily examines the Recombinant Klebsiella pneumoniae Aminoglycoside Adenylyl Transferase
(RKAAT), particularly emphasizing its biophysical characteristics and the sorts of resistance
it imparts. Furthermore, this study examines the challenges presented by RKAAT-mediated
resistance, an evaluation of treatment methods and constraints, and options for controlling infection.
The analysis provides a prospective outlook on strategies to address and reduce antibiotic resistance.
This extensive investigation seeks to provide vital insights into the continu
Novel Biomaterials Based Strategies for Neurodegeneration: Recent
Advancements and Future Prospects
Authors: Singh Dilpreet , Nagdev Sanjay 
Published: February 2024

Abstract:
Neurodegenerative diseases, including Alzheimer's disease, Parkinson's disease, and Huntington's
disease, pose significant challenges for effective treatment due to the complex nature of the
central nervous system and the limited delivery of therapeutic agents to the brain. Biomaterial-based
drug delivery systems offer promising strategies to overcome these challenges and improve therapeutic
outcomes. These systems utilize various biomaterials, such as nanoparticles, hydrogels, and implants,
to deliver drugs, genes, or cells to the affected regions of the brain. They provide advantages
such as targeted delivery, controlled release, and protection of therapeutic agents. This review examines
the role of biomaterials in drug delivery for neurodegeneration, discussing different biomaterialbased
approaches, including surface modification, encapsulation, and functionalization techniques.
Furthermore, it explores the challenges, future perspectives, and potential impact of biomaterialbased
drug delivery systems in the field of neurodegenerative diseases.
TRUST Technique for Neurointervention: A Promising Alternative for
Complex Cases
Authors: Jiang Xinzhao , Wang Peng , Liu Fang , Wu Huadong , Jiang Peng , Yuan Ruozhen , Zhang Sheng , Shi Zongjie 
Published: February 2024

Background:
Neurointervention via Transradial Access (TRA) is becoming increasingly
popular as experience with this technique increases. However, approximately 8.6–10.3%
of complex TRA cases are converted to femoral access due to a lack of support or radial artery
spasm. This study aimed to assess the efficacy and safety of the TRUST (trans-radial coaxial
catheter technique using a short sheath, Simmons catheter, and Tethys intermediate catheter)
technique in interventional procedures via TRA.

Methods:
This was a single-center retrospective analysis of 16 patients admitted to our institute
between January 2023 to May 2023 to undergo endovascular interventions with the TRUST
technique via the TRA.

Results:
The mean age of the study population was 63.8 years, and 62.5% were male (10/16).
The most common procedure was intracranial atherosclerotic stenosis (93.75%, 15/16). All procedures
were performed successfully, and the most common procedures in our cohort were ballooning
(50.0%, 8/16), stenting (18.75%, 3/16), and both procedures combined (31.25%, 1/16).
All procedures were performed using the TRA, and the distal and proximal radial arteries were
used for access in 31.35% (5/16) and 68.75% (11/16) of the cases, respectively. Technical success
was achieved in all patients and most cases demonstrated mTICI ≥2b recanalization
(93.75%, 15/16). In this case, no major access-site complications occurred.

Conclusion:
The TRUST technique is technically safe and feasible and had a high technical success
rate and low complication rate in our study. These results demonstrate that the TRUST
technique is a promising alternative for patients undergoing complex neurointerventions.