bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modeling and control of tension in Flexible pipe tensile armor manufacturing process
Authors: Li Yongyu , wu shanghua , Liu Chun , Lu Qingzhen , Chen jinlong , Yan Jun , Yue Qianjin 
Published: August 2023

Abstract
With the increasing application of flexible pipes in deep-sea operations, higher processing accuracy is required for the individual metal layers of these pipes to withstand greater service loads. In the helical winding production of tensile armor layer, the accuracy of tension control greatly affects the uniformity of steel strip after winding. To ensure tension stability during armored steel strip processing, a tension model for the manufacturing process is proposed. The model predicts the magnitude and trend of tension fluctuations caused by the unwinding device, facilitating the design of a steel strip constant tension control system based on integral separation fuzzy PID algorithm, which can achieve fast convergence of tension when tension fluctuation is large. The effectiveness of the system is verified by steel strip winding experiments. The experimental results confirm the accuracy of the prediction model and the reliability and effectiveness of the designed tension control system. With this control system, the tension fluctuation range is reduced by nearly 40% and the average value of standard deviation of spacing after steel strip winding is reduced by 0.21 mm, demonstrating its potential in improving the manufacturing quality of flexible tube tensile armor layer.
A Privacy-Preserving Scheme with Multi-Level Regulation Compliance for Blockchain
Authors: Jia Wangjing , Xie Tao , Wang Baolai 
Published: August 2023

Abstract
With the increasing presence of blockchain-based distributed applications in various aspects of daily life, there has been a growing focus on the privacy protection of blockchain ledgers and the corresponding regulatory technologies. However, current mainstream solutions primarily concentrate on the verifiable encryption of blockchain transaction addresses and contents, neglecting the regulatory requirements for private transactions. Moreover, the few monitorable solutions suffer from issues such as excessive centralization and a single-minded approach to regulatory content. To address these deficiencies, this paper proposes a blockchain privacy-preserving scheme that supports multi-level regulation through the utilization of zero-knowledge proofs (zk-SNARKs) and attribute-based encryption (ABE). Firstly, by leveraging zk-SNARKs, this scheme achieves blockchain privacy-preserving within an account model, enabling the concealment of user transaction addresses and values. Secondly, by employing attribute-based encryption, a multi-level regulatory model is developed alongside the privacy protection measures, allowing for selective disclosure of transaction content. Finally, through a combination of various technical approaches, the efficiency of this model is enhanced, and its usability is validated through experimental verification.
Counting the uncounted : estimating the unaccounted COVID-19 infections in India
Authors: Saikia Debashis , Bora Kalpana P , Bora Madhurjya P 
Published: August 2023

Abstract
Physics Informed Neural Network (PINN) [1] is applied to estimate the undetected infectious population of the COVID-19 pandemic in India, through a SEIUR (susceptible-exposed-infectious-undetected-removed) model. This technique is also used determine the unknown parameters of the model. The analysis has been carried out for the 20 worst affected federal Indian states and the country as a whole and a ratio of the active undetected infectious to the active detected infectious population is calculated for the first and second phases of the pandemic. The rate at which symptomatic infectious population goes undetected and are never reported, is also estimated using the PINN method. In this model, we incorporate an `undetected infectious' compartment to estimate the undetected population. Our `undetected infectious' class contains purely asymptomatic infectious as well as symptomatic infectious population which somehow go unreported. Further, an artificial neural network (ANN) based forecasting scenario of the pandemic in India is presented using the unique features, obtained from the state-wide analysis of the newly proposed model as well as from the PINN analysis.
Global boundedness in an attraction-repulsion chemotaxis system with nonlinear productions and logistic source
Authors: Wang Rongxiang , Yan Lijun 
Published: August 2023

Abstract

This paper deals with the quasilinear(\(\tau =0\)) and fully parabolic(\(\tau =1\)) attraction-repulsion chemotaxis system with nonlinear productions and logistic source, \(u_t = \newnabla{D(u)}{u} - \newnabla{\Phi (u)}{v} + \newnabla{\Psi (u)}{w} + f(u), v_t = \Delta v+\alpha {{u}^{k}}-\beta v, \tau w_t = \Delta w+\gamma {{u}^{l}}-\delta w, \tau \in \{0,1\},\) in bounded domain \(\Omega \subset {{\mathbb{R}}^{n}} \text{ } \newbrac{n \ge 1},\) subject to the homogeneous Neumann boundary conditions and initial conditions, \(D,\Phi ,\Psi \in {{C}^{2}}[0,\infty )\) nonnegative with \(D(s)\ge {{(s+1)}^{p}}\text{ for }s\ge 0,\) \(\Phi (s)\le \chi {{s}^{q}},\) \(\xi {{s}^{g}}\le \Psi (s),\text{ }s\ge {{s}_{0}}\) for \({{s}_{0}}&#x003E;1.\) And the logistic source satisfying\(f(s)\le s(a-b{{s}^{d}}), \text{ } s&#x003E;0, \text{ } f(0)\ge 0,\) and the nonlinear productions for the attraction and repulsion chemicals are described via \(\alpha {{u}^{k}} \text{ and } \gamma {{u}^{l}}\) respectively. When \(k=l=1\) , it is known that above system possesses a globally bounded solution in some cases. However, there has been no work in the case that \(k,l&#x003E;0\). This paper develops global boundedness of the solution to the above system in some cases. And extends the global boundedness criteria established by Tian-He-Zheng(2016) for the quasilinear attraction-repulsion chemotaxis system.
Comprehensive Analysis of WGCNA - Derived Cancer Associated Fibroblasts Model For Prognosis, Immune Features, and Candidate Drug Development in LUSC
Authors: Sun Rui , Jian Wang 
Published: August 2023

Abstract
Cancer-associated fibroblasts (CAFs) directly affect the behavior of surrounding cells and reshape extracellular matrix (ECM) in tumor microenvironment (TME) via cell-cell contact, releasing regulatory factors. This study aimed to explore stromal CAF - related genes for prognostic prediction and therapeutic response in LUSC. We downloaded mRNA expression and clinical information of 243 LUSC cases from Gene Expression Omnibus (GEO) and 504 cases from The Cancer Genome Atlas (TCGA) databases. weighted gene co-expression network analysis (WGCNA) was performed to identity the key gene module. The protein-protein interaction (PPI) network and machine learning methodology were used to construct a prognostic model. The risk score was involved in 5 genes (COL1A2, COL4A1 COL5A1 MMP2,FN1). In addition, a series of methods based on bioinformatics were used and the results indicated the cases in high risk group suffered less survival time, weaker immune response and higher likely to respond to chemotherapeutic agents. Subsequently, we characterized prognostic model by sing-cell sequencing and immunohistochemistry. This five - gene prognostic CAF signature may be a potential biomarker for guiding anti - CAFs therapy and a prognostic clue related to CAF for LUSC patients.
Establishing a Baseline of Mammal Diversity in Kali Tiger Reserve, India through Camera Trapping
Authors: Tripathy Bismay Ranjan , Patel Imran , Pai Omkar , Kumar Pavan , Das Kavya H , Naik Soumya , D Maria Christu Raja , Mahanta Kirti Kumar , Hiremani Pradeep Kumar 
Published: August 2023

Abstract
The conservation of endangered and rare mammal populations requires accurate inventorying. Traditional live-trapping methods can be labor-intensive, time-consuming and prone to errors. Camera trapping (CT) offer an effective alternative. The sampling period was from March to May 2021, divided into three phases, each lasting 25 days and covering a different region. Rarefaction technique confirmed that 364 camera stations out of 462 (9,100 trapping effort) was sufficient to capture 22 mammal species, which includes eight herbivores, two omnivores, and six carnivores. The eastern region had a higher concentration of mammal species with the highest captures occurring at elevation ranging from 400 to 800 m. The study also highlighted the potential impacts of hunting and poaching activities on wild animal communities within the reserve. The findings serve as a baseline for future assessments of conservation management interventions. CT offer an effective and practical method for inventorying mammal populations, enabling conservation efforts focus most in need.
The quality of primary care services in public sector facilities in a Ugandan district: a cross-sectional descriptive study
Authors: Besigye Innocent , Mash Robert 
Published: August 2023

Abstract

Background
In order to strengthen primary health care (PHC), there is a need to measure its performance. The World Health Organisation has published a measurement framework for PHC. This framework emphasised the core functions of primary care: access, continuity, coordination, comprehensiveness and person-centredness. This study aimed to measure the performance of primary care using the Primary Care Assessment Tool (PCAT) in one rural Ugandan district.
Methods
A cross-sectional survey of Tororo District administered the PCAT across a sample of 51/58 PHC facilities. There were four levels of health facilities (health centres II to general hospital). A random sample of at least 100 users was obtained from each level, and from all primary care providers and managers. Data was collected in REDCap software, and analysed in the Statistical Package for Social Sciences vs23.
Results
Only 35.1% of users had a strong affiliation with their PHC facility. The overall primary care score suggested that performance was acceptable to the majority of users (58.9% rating the performance at least acceptable). Ongoing care was rated by users as very poor (< 25% of people rating it at least acceptable). Comprehensiveness (services available) was rated as poor by users (≤ 50% finding it at least acceptable). Users rated first contact access and coordination (information systems) as acceptable (51–75% finding them at least acceptable). Person-centredness and comprehensiveness (services provided) were rated as good by users (> 75% rating them as acceptable or more). Providers and users differed significantly in their scoring across all domains, with providers usually more positive. Performance significantly improved as the PHC level increased, with the general hospital having the highest score.
Conclusion
The PCAT was able to identify the primary care functions that needed improving. The results will be used to co-design interventions to improve performance. The PCAT may be a useful tool to measure PHC performance across the region.
Amyotrophic Lateral Sclerosis with SOD1 mutation presenting with progressive cerebellar ataxia
Authors: Sequeira Marta , Godinho Filipe , Lourenço João 
Published: August 2023

Abstract
Amyotrophic Lateral Sclerosis is a fatal neurodegenerative disorder known to affect upper and lower motor neurons, being SOD1 mutations the second most commonly found in familial and sporadic cases. We describe a patient with a pathogenic mutation in SOD1 gene that presented with a progressive cerebellar ataxia and ultimately developed a complex phenotype of cerebellar ataxia and motor neuron disease. The linkage between the cerebellum and ALS is shortly discussed.
Identification of a Cinnamoyl-CoA Reductase Involved in Cinnamaldehyde Biosynthesis from Cinnamomum cassia
Authors: Ye Peng , Su Jianmu , Lin Jianhao , Li Yanqun , Wu Hong 
Published: August 2023

Abstract
A significant accumulation of cinnamaldehyde has been found in the barks of Cinnamomum cassia, which are used in traditional Chinese medicine. Cinnamaldehyde exhibits various pharmacological properties such as anti-inflammatory, analgesic, and stomachic effects. However, further confirmation of the biosynthetic pathway for cinnamaldehyde is needed. In this study, we analyzed 15 transcriptomes from five different tissues to understand the accumulation of active components and identify the genes responsible for cinnamaldehyde biosynthesis. Our transcriptome database contained nearly all genes associated with the cinnamaldehyde pathway, with the majority of them demonstrating high abundance in branch barks and barks. We successfully cloned C. cassia cinnamoyl-CoA reductase (CcCCR1), a key gene in the biosynthesis of cinnamaldehyde, and found that its expression pattern mirrored the cinnamaldehyde content level. The recombinant CcCCR1 protein efficiently converted cinnamoyl-CoA into cinnamaldehyde. Compared to Arabidopsis thaliana cinnamoyl-CoA reductase 1 (AtCCR1), CcCCR1 exhibited approximately 17-fold higher catalytic efficiency (kcat/Km). Molecular docking studies also indicated superior catalytic activity of CcCCR1 compared to AtCCR1, which can be utilized for engineering higher cinnamaldehyde production as previously reported. These findings provide valuable insights for the functional characterization of enzyme-coding genes and hold potential for future engineering of cinnamaldehyde biosynthetic pathways.
Super-resolution mapping using cellular automata model
Authors: Habibiyan Sajad , Aghighi Hossein , Azadbakht Mohsen , Matkan Ali Akbar , Mirbagheri Babak 
Published: August 2023

Abstract
Super-resolution mapping (SRM) is a category of techniques that aim to estimate fine-scale land cover maps from coarse spatial resolution remote sensing images. The main limitations of SRM methods are high computational complexity, demanding training data and parameter tuning. To overcome these drawbacks, this paper proposes a cellular automata (CA) based SRM (SRM-CA) approach. CA is adopted as it is a fast and efficient technique that incorporates simple rules about spatial adjacency effects. In the first step of SRM-CA, the proportions of endmembers were computed, to generate SR map the pure pixels were then mapped. To assign an appropriate label for unlabeled sub-pixels; the energy function was computed. Each given sub-pixel was then assigned to a class with maximum amount of the energy. Two synthetic imageries, namely circle and concentric circles images, and an orthophoto map from the city Centre of Vaihingen, Germany were tested for validation and comparison. The average computed Percent Correct Classified (PCC’) index for Vaihingen dataset was 98.52%. Moreover, in the case of employed circle synthetic dataset, the comparison of the results between SRM-CA technique and SRM Using Neural Network Predicted Wavelet Coefficients model illustrated that there are no differences between PCC and Kappa coefficient. Regarding concentric circles, SRM-CA approach outperforms BPFM model with gains of 99.91% in Kappa metric. Meanwhile, the proposed method requires less than 50 seconds computation time for Vaihingen data set which considerably less than other state-of-the-art SRM methods, and hence SRM-CA approach provides a new solution to sub-pixel land cover mapping.
A Systematic review and Network Meta-analysis of Minimally Invasive Intervention use in Pain Management
Authors: Shetty Ashish , Delanerolle Gayathri , Cavalini Heitor , Qui Yinshan , Boyd Amy , Bouchareb Yassine , Thillainathan Anish , Kim Seung Cheol , Phiri Peter , Shi Jian Qing , Deer Timothy 
Published: August 2023

Abstract
Background
Chronic, non-cancer pain represents a serious public health and economic issue affecting approximately 20% of the global population. Chronic pain can affect many aspects of patient’s lives, including mental health, employment, and relationships. Current medical management is largely focussed on investigating and managing acute pain. Patients and clinicians are now increasingly aware of the potential benefits of combined treatments or complex interventions in alleviating chronic pain. These approaches physical interventions such as exercise or yoga, as well as psychological support including cognitive behavioural therapy (CBT) and talking therapies.
Methods
This study used network meta-analyses to explore the prevalence of complex interventions in pain management, and the effects of these interventions on quality of life, using outcome measures including intensity of chronic pain, assessment of functional disability and participant’s psychological state.
Results
Psychological interventions were associated with improvements in pain intensity and depression. Exercise and manipulation technique-based treatments provided a statistically significant reduction in pain intensity. This effect was enhanced when exercise and CBT were combined. Mensendieck somatocognitive therapy (MSCT) plus standard gynaecological treatment (STGT) treatments appeared to have a better effect on chronic pain than multimodal exercise plus CBT treatment. Combined MSCT and STGT treatment, and multimodal exercise plus CBT treatments, reduced pain intensity, whilst MSCT + STGT treatments had a slightly better effect than exercise plus CBT treatment.
Conclusions
Complex interventions have become more popular with patients as the risks associated with other interventions including surgery and pharmacological management have become better understood. These interventions can potentially have a positive effect both on the physical and psychological health of patients. The analysis presented in this study suggests that further work is warranted in this area and that additional studies are required, both in more geographically diverse locations, and with larger cohorts.
BMSCs overexpressing hBcl2 can resist myelin-induced apoptosis and promote repair after spinal cord injury in rats
Authors: Tian Dasheng , You Xingyu , Ye Jianan , Chen Gan , Yu Hang , Lv Jianwei , Shan Fangli , Liang Chao , Bi Yihui , jing Juehua , Zheng Meige 
Published: August 2023

Abstract
After spinal cord injury (SCI), the production of myelin debris at the lesion core worsens parenchymal cell death and hinders axonal regrowth. BMSCs are susceptible to apoptosis after transplantation, and it remains unclear if this process is associated with myelin debris. we constructed BMSCs overexpressing hBcl2 (hBcl2group), BMSCs overexpressing hBcl2 with an endoplasmic reticulum-anchored segment (hBcl2-cb) (cb group), and a negative control group (NC group) for this study. Immunocytochemistry staining showed that hBcl2 was more stably and significantly higher in BMSCs of the hBcl2 group. All BMSCs from each group exhibited the ability to phagocytize Dil-myelin debris. However, only BMSCs from the hBcl2 group demonstrated resistance to apoptosis and sustained survival for up to 5 days in the presence of myelin debris. This process appeared to be associated with the efficient degradation of myelin debris through the Lamp1+ lysosomal pathway in the hBcl2 group. In the in vivo transplantation experiments, the hBcl2 group exhibited significantly higher numbers of surviving cells and fewer apoptotic cells compared to the cb and NC groups following BMSCs transplantation. Additionally, the hBcl2 group showed a remarkable reduction in GFAP+ glial scarring and significantly greater preservation of NF200+ axons in the lesion regions of SCI rats. This study revealed that myelin debris induces apoptosis in BMSCs, providing a potential explanation for the low survival rate of transplanted BMSCs after SCI. Interestingly, it was observed that the overexpression of hBcl2 protein, rather than its endoplasmic reticulum-anchored counterpart, significantly enhances the resistance of BMSCs against myelin debris-induced apoptosis. Consequently, the survival rate of transplanted BMSCs is improved, and there is an enhancement in axonal preservation within the injured spinal cord.
Phenotypes of patients with systemic sclerosis in the Chinese Han population: A cluster analysis
Authors: Zhao Yaqi , Xu Wei , Gao Wenfeng , Li Xinya , Liu Baocheng , Yan Suyan , Ma Zhenzhen , Yang Qingrui 
Published: August 2023

Abstract
Objective
Systemic sclerosis (SSc) is a heterogeneous connective tissue disease that is commonly subdivided into limited cutaneous SSc (lcSSc) and diffuse cutaneous SSc (dcSSc) based on the extent of skin involvement. This subclassification may not reflect the full range of clinical phenotypic variation. This study aimed to investigate clinical features and aggregation of patients with SSc in China based on SSc manifestations and organ involvements.
Methods
In total 287 SSc patients were included in this cross-sectional study. A cluster analysis was applied according to 13 clinical and serologic variables to determine subgroups of patients. Survival rates between obtained clusters and risk factors affecting prognosis were also compared.
Result
In this study, six clusters were observed: cluster 1 (n = 66) represented the skin type, with all patients showing skin sclerosis. In cluster 2 (n = 56), most patients had vascular and articular involvement. Cluster 3 (n = 14) individuals mostly had cardiac and pulmonary involvement. In cluster 4 (n = 52), the gastrointestinal type, 50 patients presented with gastritis. In cluster 5 (n = 50), patients barely had any major organ involvement. Cluster 6 (n = 49) included six patients with renal insufficiency, 28 patients with muscle pain and 42 patients with Raynaud’s symptoms.
Conclusion
The results of our cluster analysis study implied that limiting SSc patient subgroups to those based only on skin involvement might not capture the full heterogeneity of the disease. Organ damage and antibody profiles should be considered when identifying homogeneous patient groups with a specific prognosis.
Understanding the associations between receipt of, and interest in, advice from a healthcare professional and quality of life in individuals with a stoma from colorectal cancer: A latent profile analysis
Authors: Goodman William , Downing Amy , Allsop Matthew , Munro Julie , Hubbard Gill , Beeken Rebecca J 
Published: August 2023

Abstract

Purpose: To explore whether profiles derived from self-reported quality of life were associated with receipt of, and interest in, advice from a healthcare professional in people with a stoma.
Methods: Secondary analysis of cross-sectional national survey data from England of 4487 people with a stoma from colorectal cancer. The survey assessed quality of life using various scales, receipt and interest in various forms of advice, and physical activity. A three-step latent profile analysis was conducted to determine the optimum number of profiles. Multinomial regression explored factors associated with profile membership. A series of logistic regression models examined whether profile membership was associated with interest in advice.
Results:Five profiles were identified; ‘consistently good quality of life’, ‘functional issues’, ‘functional and financial issues’, ‘low quality of life’ and ‘supported but struggling’. Individuals in the ‘functional and financial issues’ and ‘low quality of life’ profiles were more likely to have received financial advice compared to the ‘consistently good quality of life’ profile. When compared to the ‘consistently good quality of life’ profile, all other profiles were more likely to report wanting advice across a range of areas, with the strongest associations in the ‘low quality of life’ profile.
Conclusion: Findings indicate that people with a stoma are not a homogenous group in terms of quality of life. Participants in profiles with quality of life concerns report wanting more advice across various categories but findings suggest there is scope to explore how this can be tailored or adapted to specific groups.