bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Multi-Cycle Recursive Clustering Algorithm for the Analysis of Social Media Data Streams
Authors: Ayorinde Ayodeji , Panneerselvam John , Yuan Bo , Liu Lu 
Published: May 2023

Abstract

Events are usually embedded in latent topics and the extraction of these latent topics are enabled by event detection algorithms. Unsupervised algorithms like Clustering algorithms are very useful for detecting events but with requirements which may not be relevant or easy to determine when using unstructured textual social media data. For instance, some algorithms are required to be used on specific data shapes, but determining the shape of an unstructured data may not be practical aside from the high level of noise in the data. Many of the existing algorithms work well with structured data, however, some of these algorithms can be adapted to unstructured data with the caveat that cluster formations may not contain consistent contextual information. We propose a novel Multi-Cycle Recursive Clustering Algorithm (MCRCA), able to sequentially eliminate noise, resulting in high homogeneous cluster formations. MCRCA does not require the initial specification of clusters numbers as the estimated number of clusters can be deduced at convergence. Our algorithm out-performs the classical LDA and K-Means algorithms in forming highly homogeneous clusters, context-wise.
Traditional Chinese medicine andrographolide sulfonate alleviates airway inflammation by supressing TRL3-TRIF in mice post respiratory syncytial virus infection
Authors: Zhou Na , Che Siyi , Ren Luo , Chen Shiyi , Liu Yin , Xie Jun , Liu Enmei 
Published: May 2023

Abstract
Background Andrographolide sulfonate is a proprietary Traditional Chinese Medicine used for the treatment of childhood respiratory tract infections. However, its effective role in respiratory syncytial virus (RSV) infection remain unclear.Methods BALB/c mice were infected with RSV and inoculated intraperitoneally or intranasally with andrographolide sulfonate daily for 5 days. Lung damage was measured using hematoxylin and eosin staining. Bronchoalveolar lavage fluid (BALF) was used for total cell counts and interferon-γ (IFN-γ) detection based on enzyme-linked immunosorbent assay (ELISA). The expression levels of the RSV N gene and Toll-like receptor (TLR) mRNA were detected by quantitative real-time polymerase chain reaction (qRT-PCR), and the expression levels of the N protein, TLR2/3, and TRIF were detected by western blot analysis.Results Intraperitoneal injection of andrographolide sulfonate did not suppress RSV-induced inflammation, whereas intranasal administration reduced the total number of inflammatory cells in the BALF and pathological damage in the lungs. Furthermore, IFN-γ production was significantly decreased in the BALF, as were the N gene and protein expression levels. The RSV N gene was positively correlated with lung inflammation. After intranasal treatment with andrographolide sulfonate, lung TLR3 and TRIF expression were also reduced compared to the the RSV group.Conclusions Intranasal administration of andrographolide sulfonate reduces RSV replication and RSV infection-induced substance inflammation via TLR3-TRIF. Andrographolide sulfonate aerosol inhalation may be a better treatment for viral respiratory diseases.
The Period 2015-2022 – Eight Warmest Years over Europe and Türkiye:
Linkage Between Atmospheric Dynamics and Heatwaves
Authors: Demirtaş Meral 
Published: May 2023

Abstract

The period 2015–2022 was reported to be the warmest on record globally. This study focused on the summer seasons (June, July, August - JJA) of this hot period over the study region of Europe and Türkiye for investigating the linkage between atmospheric dynamics and heatwaves. The JJA mean temperature anomalies with respect to the reference climate (1981–2010) over the study region showed that 2022, 2021 and 2018 were the warmest top three years. The linkage between atmospheric blocking events and summer heatwave events were elaborated by implementing a percentile-based heatwave identification method and a two dimensional atmospheric blocking identification method. The dynamical role played by the 500-hPa geopotential height (GH500) summer anomalies were also considered, and associated GH500 anomalies computed with respected to the reference climate. It was noted that the hot summer seasons of 2015, 2016, 2018, 2019, 2021 and 2022 were associated with large-scale episode of blocking events, in particular, over the mid-to-high latitudes. Over the southern latitudes, in summer seasons of 2015, 2017 and 2020, heatwave activities were considered to be associated with the large GH500 anomalies, which were attributed to the northerly expansion of sub-tropical atmospheric flow. The horizontal transport of anomalously warm and dry air and together with exacerbated effects of subsidence under large GH500 anomalies were considered to be major contributors that triggered and maintained anomalously high temperatures.
Improving the Efficiency of FSO Communication Using a Hybrid Optimization Based U-NET Model in 6G Applications
Authors: k sathish , Sreeni S V N. , Vasavi M. , Eluri Rama Krishna , Ramakrishnaiah N.Ramakrishnaiah 
Published: May 2023

Abstract
The sixth generation (6G) wireless communication has significant impact due to massive connectivity and higher data rate. 6G is enhanced with Free Space Optical (FSO) communication in which the optical data is transmitted with a free spectrum license and higher security. But atmospheric circumstances have an impact on how well FSO communication works. The novel detection approach is proposed in this paper to enhance performance by mitigating the effect of atmospheric turbulence. Initially, the input signal is modulated with an On-Off keying (OOK) based modulation technique and transmitted through FSO communication channel. On the receiver side, signal detection can be accomplished with hybrid optimization Particle Swarm Hill Climbing Algorithm based (PSHCA)-U-net. The U-net architecture is modified to enhance the U-net performance by optimizing the hyperparameters with a hybrid PSHCA algorithm. Tests are conducted using various atmospheric weather scenarios on the proposed PSHCA-U-net model.Finally, simulations are performed to determine the performance of a proposed architecture and evaluated using Bit Error rate (BER), accuracy, transmission time, latency, spectral efficiency etc. Using the proposed approach, the spectral efficiency and latency are improved with 100 Gbps/Hz and 1ms. In terms of BER and other performance measures, the proposed solution outperforms the current strategy. It shows the superiority of a proposed approach while considering 6G parameters.
Contact foliations and generalised Weinstein conjectures
Authors: Finamore Douglas 
Published: May 2023

Abstract

We consider contact foliations: objects which generalise to higher dimensions the flow of the Reeb vector field on contact manifolds. We list several properties of such foliations and propose two conjectures about the topological types of their leaves, both of which coincide with the classical Weinstein conjecture in the case of contact flows. We give positive partial results for our conjectures in particular cases -- when the holonomy of the contact foliation preserves a Riemannian metric, for instance -- extending already establish results in the field of Contact Dynamics.
Mathematics Subject Classification (2010). Primary 37C85; Secondary 37C86, 53D10, 53E50.
The multi-quantization process with matrix size reduction is applied to compress images with strip structure light that is commonly used in 3D reconstructions
Authors: Abdulrazzaq Sazeen T. , Rasheed Mohammed H. , Siddeq Mohammed M. 
Published: May 2023

Abstract

In this paper, a novel method for 2D image compression is proposed and demonstrated through high-quality image reconstruction with compression ratios up to 99%. The proposed algorithm uses multiple divisions to divide an image into two different matrices: the number of division matrix and the reminder matrix. DCT is applied to these matrices to increase high-frequency coefficients. Then, the final coefficient matrices are encoded using Binary Matrix encoding Algorithm. This final new algorithm removes blocks of zeros and indexes them with only a “0”, while other blocks with nonzero coefficients are kept. At the decompression stage, the process starts with inverse Binary Matrix encoding, which returns all zeros at exact locations. The next step is inverse DCT, which is applied to retrieve the original matrices: the Number of Division matrix and the Reminder matrix. Finally, the image is decoded by combining the two retrieved matrices. The experimental results show that our method achieved high compression ratios up to 99% with better perceptual quality of reconstructed images compared to the popular JPEG method.
Promises and Perils of Post-Quantum Blockchain
Authors: Sheoran Savita Kumari , Yadav Gayatri 
Published: May 2023

Abstract
In recent years, blockchain technology has emerged as a powerful solution to address various concerns related to data transfer over distributed networks, such as privacy, transparency, redundancy, and accountability. Its ability to offer decentralized trust, secure data usage, and efficient functioning has led to its successful implementation in critical areas like finance, e-governance, defense, academia, research, reputation systems, and smart manufacturing. Blockchain is a unique type of distributed ledger that relies on hash functions and public-key cryptography to store information in blocks protected by hash signatures, which are resistant to security breaches. However, the emergence of quantum computing and its ability to solve knapsack problems in real-time through Grover’s and Shor’s algorithms has raised concerns about the future of classical key cryptography. It is feared that post-quantum computers may be able to modify the hash signature and compromise the blockchain security. To address this issue, there is an urgent need to develop a blockchain cryptosystem that is resilient towards potential eavesdropping in the post-quantum age. This paper aims to explore the possibilities of developing such a futuristic post-quantum information security system while examining the promises and perils of blockchain technology. The study includes a comparative analysis of public-key post-quantum cryptosystems and signing algorithms to formulate future research directions in this field.
The Forecast and Low-carbon Performance of Land-use in Rapid Urbanization Area under the Multi-objective Spatial Planning: Evidence from Hangzhou, China
Authors: Gu Weicheng , Qi Weifeng , Zhang Mingyu 
Published: May 2023

Abstract
The introduction of the carbon peak and carbon neutral targets by many countries’ central governments has put low-carbon oriented spatial planning at the forefront of discussions. However, few studies have focused on the balance of carbon emission reduction and economic goals in spatial planning, and the influence of the planning on land-use low-carbon performance remains uncertain. This study addresses this gap by conducting an empirical analysis in the rapidly urbanizing area of Hangzhou, China, taking into consideration low-carbon constraints and economic development demands. Using the STRIPAT model and Linear Programming-Markov, we predicted land use structures under both low-carbon and baseline scenario, and simulated land use patterns by using Ann-CA. The results showed rapid growth in urban and forest land, and a decline in farm and rural land under the low-carbon scenario. Urban land change was concentrated in downtown districts and suburbs, while farm and forest land change was concentrated in exurban areas. The low-carbon performance of land-use was reflected in carbon storage release, carbon emission capability change, and low-carbon capability. The most common conversion of land-use categories under the low-carbon scenario was between farm and forest land, and between rural and urban land, which resulted in less carbon storage release and carbon emissions compared to the baseline scenario. Additionally, the compactness and fragmentation of construction land improved under the low-carbon scenario. This study sheds light on the impact of multi-objective spatial planning on urban land expansion, providing empirical evidence for city governments in rapid urbanization areas to improve land-use efficiency.
Implementing Content Based Instruction In University English Classrooms In Mainland China
Authors: Ma Xinyu 
Published: May 2023

Abstract
CBI teaching is to transform a single language skill teaching method into a teaching method that integrates content and language as a whole.The main aim of this research is to know the actual implementation of the CBI model in college English classrooms in mainland China through scientific research methods. It will look at the perceived effectiveness of the CBI model and the challenges of implementing the CBI model. Based on the research purpose, this research explores the following research questions, to what extent do students and teachers understand the basic concepts of CBI; the benefits and challenges of implementing CBI teaching methods in college English classrooms in mainland China. The data comes from questionnaires and in-depth interviews. The results seem to show that CBI can effectively improve students' English level, but there are many problems in the specific implementation process. The evaluation of CBI pedagogy needs to start from the perspective of teachers and students. It also emphasized the importance of the basic concepts of CBI. This research will help those students and teachers in the Chinese universities who would like to adopt CBI model and also the people who concerns the real situation of CBI model in the English classroom in China universities.
Passivity-based stochastic synchronization of delayed Markovian jump quaternion-valued neutral-type neural networks with partly unknown transition probabilities: real decomposition method
Authors: Shu Jinlong , Wu Baowei , Xiong Lianglin 
Published: May 2023

Abstract
This paper discusses the passivity-based stochastic synchronization of delayed Markovian jump quaternion-valued neutral-type neural networks (MJQVNTNNs) with partly unknown transition probabilities. Firstly, MJQVNTNNs are decomposed into four real-valued systems using the real decomposition method. Secondly, by constructing a Marko-vian jump parameter dependent Lyapunov-Krasovskii functional (LKF) and combining some inequality techniques, a new delay-dependent criteria is derived to ensure the stochastic stability of the error systems, so that the master-slave system can achieve stochastic synchronization. Thirdly, based on passivity theory, the desired mode-dependent controller is designed, some sufficient conditions for the stochastic synchronization of input passive and output passive are given, respectively. Finally, three numerical examples are given to illustrate the effectiveness of the proposed method and illustrate its potential application in chaotic quaternion system.
Gelatin/wheat gliadin electrospun film contained with chlorogenic acid: Fabrication, characterization, and application in the preservation of grass carp (Ctenopharyngodon idella) fillets
Authors: Chen Tingju , Liu Huanming , Deng Chujin , Zhang Dongxia , Li Huiying , Zhou Chunxia , Hong Pengzhi 
Published: May 2023

Abstract
In this study, gelatin/wheat gliadin electrospun films containing different amounts of chlorogenic acid (CA; 0–150 mg) were fabricated and characterized, and the protective effect of films with CA on food preservation was investigated, especially for grass carp fillets. The results of the morphology and structure of the films indicated CA was successfully encapsulated in the film and interacted with proteins. Thermal stability, mechanical properties, and water contact angle (WCA) analysis suggested that the film had good stability and hydrophobicity. Furthermore, films with CA exhibited good antioxidant and antibacterial activities and these properties were enhanced with increasing CA content. The antioxidant activity was greater than 90% when the amount of CA added was greater than 100 mg. The CA release mechanism of the film supplemented with 125 mg of CA (CA125) was in line with the first-order kinetic model, and CA release reached 84.38% ± 0.26% at 16 h. Furthermore, CA125 was used to perform 10-day preservation assays. During the storage period, the quality of grass carp fillets deteriorated and the film with CA exhibited a better protective effect on muscle quality; thus, possibly delaying the deterioration of the fish fillets and prolonging its acceptance period, meaning its applicability in the protection of the freshness of aquatic products.
Identification of Biomarkers for Acute Myocardial Infarction based on Cell Senescence Genes and Machine Learning
Authors: Li Liya , Mao Yu , Yang Pingping , Jiang Ting , Yang Lifang , Qin Pei 
Published: May 2023

Abstract
Background This study aims to identify senescence-related biomarkers for ST-elevation myocardial infarction (STEMI) prognosis.Methods RNA expression data for STEMI samples and controls were obtained from the Gene Expression Omnibus (GEO) database, and cellular senescence genes were acquired from CellAge database. Differential and overlap analyses were used to identify differentially expressed cellular senescence-related genes (DE-SRGs) in STEMI samples. DE-SRGs were further analyzed using plotting receiver operator characteristic (ROC) curves and machine learning algorithms. Gene Set Enrichment Analysis (GSEA) was employed on each biomarker. Immune related analyses, competing endogenous RNA (ceRNA) construction, and target drug prediction were performed on biomarkers.Results This study identified 7 DE-SRGs for STEMI prognosis. GSEA results showed enriched pathways, including ribosome, autophagy, allograft rejection, and autoimmune thyroid disease. Further, T cells CD4 memory resting, T cells gamma delta, Monocytes and Neutrophils represented significantly different proportions between STEMI samples and controls. In addition, CEBPB was positively correlated with Monocytes and Neutrophils, but negatively correlated with T cells CD8. A ceRNA network was established and eight FDA-approved drugs were predicted.Conclusion This study identified 7 cellular senescence-related biomarkers, which could lay a foundation for further study of the relationship between STEMI and cellular senescence.
A possibility of pulmonary intravascular coagulopathy in acute exacerbation of interstitial lung diseases: a retrospective cohort study
Authors: Takeshita Yuichiro , To Masako , Kurosawa Yusuke , Kinouchi Toru , Tada Yuji , Tsushima Kenji , To Yasuo 
Published: May 2023

Abstract
Background
Acute exacerbation (AE) of interstitial lung disease (ILD) is a life-threatening condition that can cause idiopathic pulmonary fibrosis (IPF) and non-IPF. One of the causes of the poor prognostic outcomes of AE-ILD is believed to be the coagulation cascade due to tissue damage. We investigated whether coagulopathy in patients with AE-ILD occurred locally in the lungs using laboratory data.
Methods
A total of 81 patients with chronic and acute ILD were enrolled in this study. A retrospective analysis was performed in two groups: a chronic ILD group comprising 63 outpatients and an acute ILD group comprising 18 inpatients diagnosed with AE-ILD.
Results
ROC analysis of SP-D, TAT, D-dimer, and PIC levels indicated that these four markers might be good diagnostic markers of AE-ILD. Spearman’s correlation coefficient analysis revealed a positive correlation between SP-D and TAT (r=0.711, p=0.004), D-dimer (r=0.626, p=0.011), and PIC (r=0.741, p=0.002). Multiple regression analysis performed for TAT values with age, male sex, baseline use of anticoagulant drugs, acute ILD, IL-6 value, and SP-D value showed that the model could explain 57.6% of TAT values (R2 = 0.609, adjusted R2 = 0.576). In addition, the baseline use of anticoagulant drugs (β=-6.8092, p<0.001), acute ILD (β=8.1475, p<0.001), and SP-D (β= 0.0137, p<0.001) were independent factors affecting TAT.
Conclusion
SP-D, TAT, D-dimer, and PIC may be useful markers for diagnosing AE-ILD. Based on these four serum markers, the present study suggests that coagulopathy caused by AE-ILD may occur locally in the lungs.
Fishers’ well-being affected by anthropogenic stressors in Surigao del Sur, Philippines
Authors: Macusi Edison D. , Nallos Ivy M. , Omandam Juber L. , Macusi Erna S. 
Published: May 2023

Abstract

The fishing industry is considered one of the essential industries in the Philippines, especially in Surigao del Sur, and provides food and employment. By investigating how fishers’ well-being can be affected by various anthropogenic stressors, a solution can be crafted to address the problem. Focus Group Discussion (FGD) was used to assess fisher’s well-being through the five dimensions such as social, economic, ecological, spiritual, and cultural. A total of N = 174 respondents participated in six FGDs conducted in the villages of Cortes, Lanuza, and Lianga and a separate focus group was used to validate the results of the study. Results showed variation in terms of social connectivity, Lanuza and Lianga scored medium high (3) but in terms of membership to cooperative, Cortes and Lanuza scored high (4). In the cultural dimension (governance and advocacy for marine conservation), Cortes scored high (4) and for values (communication and beliefs), all three sites scored highly (5). For economic dimension such as catch and cost of fishing trip, Cortes and Lanuza scored high (4). Finally, for the ecological dimension (protection of fish stocks and fishing practices), Cortes and Lanuza scored highly (5). Moreover, four major anthropogenic stressors mentioned in the area are on coral reef siltation (85%), climate change impacts (82%), improper garbage disposal (69%), and impacts of mining activities (67%). Responses of participants showed the need for the local and provincial governments to focus on immediate and practical priorities to effectively address long-term issues such as anthropogenic disturbances affecting fishers’ well-being.
An algorithm for very large sizes linear problems
Authors: Belahcene Saliha , Marthon Philippe , Aidene Mohamed 
Published: May 2023

Abstract
In this paper, we propose an algorithm (SC+PAM) for solving large size linear programming problem with bounded variables where we combined two methods: the selection of constraint method (SC) and the pivot adaptive method (PAM). The step of (SC+PAM), consist in first, selecting the constraints of the starting problem, and a sequence of linear sub-problems of increasing size which will be obtained by adding to the previous a set of constraints unsatisfied by the optimal solution of the current problem, the constraints to be added at each iteration being the most orthogonal to the criterion of the strarting problem. The stop criterion of (SC+PAM) is when all the constraints are satisfied and thus the solution found is opitmal for the strating problem. Thus, this method takes less computing time than (PAM), which is confirmed by numerical examples.
MSC code: 90C05, 90C06, 90C51.