bluuebunny/crossref_metadata_2025_split huggingface dataset:
Wavelets and Artificial Neural Networks for Surface Roughness Estimation of Ceramic Tiles
Authors: jana Bhaskara Rao , K Sri Rama Krishna , Inakoti Ramesh Raja , Seventline J. B 
Published: August 2024

Abstract

An important prerequisite for machined surfaces is the ability to estimate the surface roughness parameter. Non-contact methods are among the many measurement techniques that are frequently used to gauge the roughness of machined surfaces. These techniques are quick and adaptable. It is crucial in industries that produce ceramic tiles, glass, wood, and iron. This research proposes a novel method for measuring ceramic tile surfaces' surface roughness metrics through image processing. This system's acquired image is examined to see how its properties relate to those of the surface roughness. The energy details in terms of approximation, horizontal, vertical, and diagonal detail coefficients were derived after enhancement using a wavelet decomposition approach. The use of wavelet-based feature extraction in the evaluation of surface roughness was made justifiable by the energy details' strong correlation with the surface roughness parameter. Artificial neural networks (ANN) have been utilized to estimate Ra of the machined surfaces using the information collected from the wavelet transform of the pictures. Therefore, a correlation between image properties and Ra value has been attempted, effectively utilizing computer vision system for this application.
Tandemly Duplicated Rubisco Activase Genes of Cereals Show Differential Evolution and Response to Heat Stress
Authors: Nagarajan Ragupathi , Kahlon Kaviraj Singh , Mohan Amita , Gill Kulvinder S. 
Published: August 2024

Abstract

Heat stress affects various components of photosynthetic machinery of which Rubisco activation inhibition due to heat sensitive Rubisco activase (RCA) is the most prominent. Detailed comparison of RCA coding genes identified a tandem duplication event in the grass family lineage where the duplicated genes showed very different evolutionary pattern. One of the two genes showed high level of sequence conservation whereas the second copy, although present only 1.5kb away, was highly variable among various plant species because of loss of introns, alternative splicing and loss of the last exon coding redox regulated C-terminal extension domain. Gene specific expression analysis, both at the transcription as well as the protein level, showed very different expression pattern of the two RCA copies. Expression of the highly conserved copy was higher under normal plant growing conditions that decreased many folds under heat stress with substantial genotypic variation, but the variable copy showed much higher expression under heat stress conditions across all grass species. The cultivated rice has only one functional gene as the second copy became nonfunctional due to multiple deletions but Oryza brachyantha and Oryza australiensisstill have two functional Rca genes. Detailed analysis of the promoter region of the two copies among various plant species showed insertion of several transposable elements harboring heat responsive elements in the heat inducible copy of the gene. The conserved RCA copy of wheat didn’t have any transposable insertions whereas in that of maize has one heat shock element and sorghum had two. It would be interesting to study if the higher level of heat stress tolerance observed in sorghum and maize is associated with the differences observed for RCA.
Unlocking Financial Innovation through Strategic Investments in Information Management: A Systematic Review
Authors: Al-Ansi Abdullah M. , Riyadh Hosam Alden , Garad Askar , Beshr Baligh Ali Hasan 
Published: August 2024

Abstract

Purpose: The purpose of this study is to explore strategic investment in information management and its crucial role in driving financial innovation. By examining the integration of advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML), Blockchain, Big Data Analytics, Cloud Computing, Large Language Models (LLMs), Robotic Process Automation (RPA), Internet of Things (IoT), Cybersecurity Technologies, and Quantum Computing, this research aims to highlight how these technologies enhance decision-making, operational effectiveness, risk management, and compliance within the financial sector.
Methodology: The study employs a comprehensive literature review of existing research to analyze the impact of strategic investment in information management on financial innovation. Key technologies are identified and their applications in finance are discussed. The methodology includes synthesizing findings from various sources to present a cohesive understanding of the relationship between information management, technology, and financial innovation.
Results: The results indicate that strategic investment in information management significantly enhances financial innovation by leveraging advanced technologies. AI and ML improve predictive analytics and customer personalization, Blockchain ensures secure transactions and transparency, Big Data Analytics enables data-driven decision-making, and Cloud Computing provides scalable solutions. LLMs enhance natural language processing capabilities, RPA automates repetitive tasks, IoT facilitates real-time monitoring, Cybersecurity Technologies protect financial data, and Quantum Computing offers potential breakthroughs in financial modeling and encryption.
Implication: The implications of this study suggest that financial institutions should prioritize strategic investments in information management and the adoption of advanced technologies to stay competitive and resilient in the evolving financial landscape. Effective information management practices enable better decision-making, improved operational efficiencies, enhanced risk management, and regulatory compliance, ultimately fostering financial innovation.
Contribution: This study contributes to the existing body of knowledge by providing a detailed analysis of the role of strategic investment in information management and its impact on financial innovation. It highlights the importance of integrating advanced technologies in financial practices and offers insights into how these technologies can be leveraged to achieve innovative solutions and improvements in the financial sector. The findings serve as a valuable resource for financial institutions, policymakers, and researchers interested in the intersection of technology and finance.
Massive parallelization and scalability analysis ofseismic stereotomography based on MPI+OpenMP hybrid programming model
Authors: Freire Lucas , Barros Tiago 
Published: August 2024

Abstract

Stereotomography is a tomographic technique that can be used in the process of subsurface imaging, especially useful for oil and gas exploration. In this paper, we apply parallelization techniques on a stereotomography algorithm in an attempt to make it run faster on systems that support this paradigm. The program was subjected to hybrid parallelization using OpenMPand OpenMPI, decreasing runtimes for systems with both shared and distributed memory models. A scalability analysis was performed thereafter, with the aid of a state-of-the-art supercomputer, showing satisfactory speed-ups and scalability. The resulting program remained consistent with the sequential version and shows increase in efficiency for larger problem sizes.
Power Transformer Fault Diagnosis Based on Feature Selection and Improved IPSO-BP-AdaBoost
Authors: Zhou Lei , Fu Zhongjun , Li Keyang , Wang Yuhui , Rao Hang 
Published: August 2024

Abstract

This paper proposes a novel fault diagnosis methodology for oil-immersed transformers to improve the diagnostic accuracy influenced by gas components in power transformer oil. Firstly, the Random Forest (RF) algorithm is utilized to evaluate and filter the raw data features. Secondly, a multi-strategy Improved Particle Swarm Optimization (IPSO) is applied to optimize a double-hidden layer Backpropagation Neural Network (BPNN). Four enhancement strategies, including SPM chaos mapping based on opposition-based learning, adaptive weight, spiral flight search, and crisscross strategies, are introduced based on traditional Particle Swarm Optimization (PSO) to enhance the model’s optimization capabilities. Lastly, AdaBoost is integrated to fortify the resilience of the IPSO-BP network. Ablation experiments demonstrate an enhanced convergence rate and model accuracy of IPSO. Case analysis using Dissolved Gas Analysis (DGA) samples compares the proposed IPSO-BP-AdaBoost model with other swarm intelligence optimization algorithms integrated with BPNN. The experimental findings highlight the superior diagnostic accuracy and classification performance of the IPSO-BP-AdaBoost model.
A case study of the regional bioeconomy in Central Germany: Construction with renewable resources
Authors: Brödner Romy , Fürst Karoline 
Published: August 2024

Abstract

National and international policies focus on climate protection, resource efficiency and sustainability. The bioeconomy is seen as future-oriented field of innovation that can reconcile ecological and economic development. Building with renewable resources as part of the bioeconomy also contributes and is a key element of the global Sustainable Development Goal 11 'Sustainable Cities and Communities'. The study complements the national biomass monitoring in Germany with a regional insight into construction with renewable resources in Central Germany. It addresses practical challenges, theoretical approaches and political goals of the construction sector in Central Germany. Sectors with a high level of employment in the region and/or with a regional specificity will be examined. In 2020, 81,506 employees covered by social security were employed in the forestry, wood and construction industries in the federal states of Saxony, Saxony-Anhalt, Brandenburg and Thuringia. This corresponds to a total share of two per cent of total employment in the federal states. Around 11,700 enterprises subject to value added tax are specialised herein. The region has extensive timber resources: 14.7 million m³ of hard- and softwood were harvested in the federal states in 2021. Industry trends include an increasing construction of timber buildings, use of wood as a renewable carbon source in the chemical industry and a rise in the use of wood-based packaging. This is accompanied by increased competition for the use of resources and brings potentials for innovation that can lead to economic growth and is being supported at the political level.
An optimized protocol for in vitro regeneration and genetic transformation of broomcorn millet
Authors: Cui Zhaolan , Wei Wenmin , Han Xinqi , Wang Yuechen , Jia Juqing , Wang Haigang , Liu Longlong , Wang Lun , Li Jun , Li Dongming , Zhang Li 
Published: August 2024

Abstract

Background
Broomcorn millet has many advantages, such as abiotic stress resistance, a short growth cycle and high nutritional value. However, due to the lack of efficient genetic transformation methods for broomcorn millet, the characterization of genes related to important traits lags behind that of other crop species. Therefore, establishing efficient in vitro regeneration and genetic transformation methods for broomcorn millet is essential.
Results
In this study, we used mature seeds from the sequenced cultivar 'Longmi 4' as explants and optimized their in vitro regeneration and genetic transformation methods. The optimal hormone concentrations for embryogenic callus induction medium were 2.5 mg/L 2,4-D and 0.5 mg/L BAP. The optimal hormone concentrations for shoot regeneration media were 2 mg/L kinetin and 0.5 mg/L a-naphthaleneacetic acid. Additionally, the cocultivation time was 3 days, and the optimal hygromcin concentration for putative transgenic callus selection was 45 mg/L. The transgenic efficiency was 21.25% after our modification approach.
Conclusions
Here, we present a simple and highly efficient Agrobacterium-mediated genetic transformation protocol for broomcorn millet. Our work provides a tool for the characterization of genes related to important traits, as well as a new strategy for broomcorn millet breeding.
Impacts of stand age on ectomycorrhizal fungal diversity and soil enzyme activities in Pinus massoniana plantations
Authors: Wu Jiuchun , Yuan Guiyun , Jiang Feng , Shen Chao , Zheng Yingjie , Sun Xueguang 
Published: August 2024

Abstract

In forest ecosystems, ectomycorrhizal (ECM) fungi play a crucial role in influencing plant productivity and soil processes. However, the dynamics of ECM fungal diversity during forest development and its relationship with soil enzyme activities remain insufficiently explored. This study focused on ECM fungal communities in Pinus massoniana forests of different ages (15, 25, and 35 years). Our findings revealed that P. massoniana roots harbor diverse ECM fungi, with community composition varying across developmental stages. Notably, the mature 35-year-old forest exhibited lower fungal alpha diversity but higher ECM fungal abundance, along with increased enzyme activities related to carbon, nitrogen, and phosphorus acquisition. Soil pH and C-to-N ratios emerged as key factors influencing ECM fungal community diversity and composition. Redundancy analysis highlighted significant correlations between changes in ECM fungal community composition and soil enzyme activities (S-PPO and S-POD), as well as soil chemical properties (pH and C stoichiometry). Overall, varying stand ages lead to distinct ECM fungal communities, impacting soil functions associated with enzymatic activity.
A qualitative study of healthcare workers’ living and working conditions in rural and urban areas of Senegal in the context of Universal Health Coverage: the ANRS-12399 Soignants Senegal study
Authors: Diop Ousmane , Boutet Clément , Coulibaly Kanuya , Ba El Hadji , Maradan Gwenaëlle , Mora Marion , Spire Bruno , Sokhna Cheikh , Sagaon-Teyssier Luis 
Published: August 2024

Abstract

Background
Healthcare delivery in Senegal is hindered by a limited, unequally distributed healthcare workforce, and by inadequate infrastructure which negatively impact access to quality care and good health outcomes. Despite efforts to improve healthcare delivery through Universal Health Coverage (UHC), progress remains insufficient. We investigated the living and working conditions of Senegalese healthcare workers (HWs), specifically their representations and experiences of the implementation of UHC programs.
Methods
The ANRS-12399 Soignants Senegal study focused on HWs, including community HWs, working in health posts, health centers, regional and national hospitals, located in urban, sub-urban and rural areas. Individual semi-structured interviews were conducted with doctors and with new (preceding 12 months) arrivals (any HR type). Instead, separate semi-structured focus groups were conducted for non-doctor HWs who had graduated in a chosen technical field (e.g., nurses) and non-graduate HWs (e.g., community HWs).
Results
The sample comprised 60 HWs; median age was 34 years (IQR [29.5–37.5]). Those with administrative responsibility were more likely to have an understanding of the UHC’s various programs. UHC implementation had led to debt for care structures, poorer working conditions because of a deterioration of the patient-HW relationship through unexpected out-of-pocket costs for supposedly free services, delayed salary payment, and drug stock-outs. Moreover, job tenure was shorter in rural areas and for doctors, indicating the attractiveness of urban workplaces and greater doctor mobility, respectively. Reasons for leaving rural positions included dissatisfaction because of poor recognition, limited opportunities for career development, equipment and training infrastructure shortages, distance from one’s family, and the absence of financial incentives. HWs working in urban settings faced more equipment maintenance issues, but were less likely to leave their position. Different knowledge acquisition desires drove mobility to and from rural areas; seeking stable contracts motivated HWs to work in rural areas.
Conclusion
HWs working in rural Senegal face greater challenges. Deciding whether to work there entails more than financial considerations. Although UHC is not the origin of HWs’ poor working conditions in the country, it exacerbates them. Addressing difficulties HWs face in rural Senegal is essential to ensure retention and better implementation of the UHC’s various programs.
How good nnU-Net for Segmenting Cardiac MRI: A Comprehensive Evaluation
Authors: Gunawardhana Malitha , Xu Fangqiang , Zhao Jichao 
Published: August 2024

Abstract

Cardiac segmentation is a critical task in medical imaging, essential for detailed analysis of heart structures, which is crucial for diagnosing and treating various cardiovascular diseases. With the advent of deep learning, automated segmentation techniques have demonstrated remarkable progress, achieving high accuracy and efficiency compared to traditional manual methods. Among these techniques, the nnU-Net framework stands out as a robust and versatile tool for medical image segmentation. In this study, we evaluate the performance of nnU-Net in segmenting cardiac magnetic resonance images (MRIs). Utilizing five cardiac segmentation datasets, we employ various nnU-Net configurations, including 2D, 3D full resolution, 3D low resolution, 3D cascade, and ensemble models. Our study benchmarks the capabilities of these configurations and examines the necessity of developing new models for specific cardiac segmentation tasks.
Supply chain management through Fuzzy Systems: A Bibliometric and Scientometric analysis
Authors: Seal Somen , Mallik Ajoy , Ray Partha , Dey Agniva 
Published: August 2024

Abstract

Supply chain management is the process of managing the flow of goods or services produced, from the ordering of materials to the delivery of the final product to consumers. The primary goal of this research paper is to examine the research performance of supply chain management in the areas of fuzzy set, intuitionistic fuzzy set, and neutrosophic fuzzy set techniques. It also attempts to identify the most productive journals and countries in relation to the quantity of publications and the impact of citations.Additionally, the study uses “co-word cluster network analysis” for identifying the thematic
evolution of this research globally across successive periods.Between 2004 and 2023, a total of 4081 papers were retrieved and examined from WoS. Through the use of strategic diagrams, keyword overlapping maps, and theme maps, the study also quantified and visualized the distribution and influence at different times. The results of this study will be helpful in developing future research
strategies that focus on expanding operation research’s global reach.
Integrasi Mitos Dan Religi: (Mitologi Jawa dan Religi Islam dalam Ritual Ruwatan Pernikahan oleh Masyarakat Desa Jombok Ngoro Jombang Jawa Timur)
Authors: Musonnif Ahmad 
Published: August 2024

Masyarakat Jawa memiliki tradisi warisan leluhur yang sampai sekarang masih dlestarikan yaitu ritual ruwatan. Ritual ini adalah sarana masyarakat Jawa untuk memohon kepada Tuhan agar terhindar dari bencana. Salah satu masyarakat Jawa yang masih melakukan ini adalah masyarakat Desa Jombok Ngoro Jombang Jawa Timur. Di antara ritual ruwatan yang dilakukan oleh masyarakat desa Jombok adalah ruwatan perkawinan. Metode yang digunakan dalam penelitian ini adaalaah wawancara dan penellusuran literatur. Penelitian menunjukkan bahwa Ritual ruwatan juga dilakukan oranng tua untuk anaknya yang akan menikah, meskipun juga dilakukan untuk hal-hal yang lain. Prosesi ritual tersebut membutuhkan beberapa barang-barang yang digunakan sebagai simboolisasi harapan kepada Tuhan. Bagi masyarakat desa Jombok setiap barang memiliki makna filosofisnya seendiri. Ritual ruwatan tersebut merupakan perpaduan antara mitos Jawa Hindu dengan latar belakaan kisah Bathara Kala yang mencari korban disertai religi Islam dengan memanjatkan doa kepada Allah SWT yang disertai bertawasul dengan Nabi Muhammad, malaikat Jibril dan surat al-Ikhlas. Proses integrasi ini menunjukkan bahwa orang Jawa sangat pandai meramu ajaran leluhur yang bernuansa Hindu-Kapitayan dengan nilai-nilai keislaman.
Synthesis and Anti-proliferative, Tyrosine Kinases Inhibitions of New Xanthene Derivatives and their Morphological Studies
Authors: Mohareb Rafat M. , Ahmed Maken Mohamed 
Published: August 2024

Background:
In the field of pharmaceutical chemistry, the anti-cancer activity of such
compounds received great attention. For both medicinal and industrial studies,, xanthene derivatives
are important compounds that have had many applications that have enhanced their use in recent
years. Xanthene and its derivatives are extensively used scaffolds in drug designing and the development
of novel anti-cancer agents due to their large pharmaceutical applications.

Objective:
The 3,3-dimethyl-2,3-dihydro-1H-xanthen-1-one was used to synthesise anti-cancer
agents of fused pyran, pyridine, pyridazine, and thiophene derivatives. As the potentially privileged
scaffolds, xanthene-fused bicyclic heterocycles may be used to discover new drugs
with similar biological targets and improved therapeutic efficacy.

Method:
The key starting compound 3,3-dimethyl-2,3-dihydro-1H-xanthen-1-one was used in many
heterocyclization reactions through its reactions with different reagents like aryldiazonium salts,
reaction with S8 and producing fused tetracyclic compounds.

Results:
Through this work, new compounds were synthesized and, characterized, and evaluated
toward the six cancer cell lines, namely A549, HT-29, MKN-45, U87MG, and SMMC-7721 and
H460. The inhibitions on tyrosine kinases c-Kit, Flt-3, VEGFR-2, EGFR, and PDGFR for selected
compounds were studied and the results were supplied by studying the mechanism of action toward
EGFR. Furthermore, the morphological changes of selected cell lines by the effect of compounds 6b
and 13c were studied.

Conclusion:
We focused our attention on the synthesis of heterocyclic compounds based on xanthene
moiety. After a detailed optimization study, many of the synthesized compounds can be considered
anticancer agents, enhancing further studies.