bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diagnostic performance of serum CA-125 for overall and complicated acute appendicitis: a systematic review and meta-analysis.
Authors: Montero Javier Arredondo , Pérez-Riveros Blanca Paola , Asfura Oscar Emilio Bueso 
Published: December 2023

Abstract
Background
This study aimed to analyze the diagnostic performance of serum CA-125 in acute appendicitis (AA).
Methods
This review was registered in PROSPERO (CRD42023450988). We included prospective or retrospective original clinical studies evaluating the diagnostic performance of serum CA-125 in AA. A search was conducted in PubMed, Web of Science, Scopus, and OVID. Search terms and keywords were: (appendicitis OR appendectomy) AND (CA-125 OR CA125). Two independent reviewers selected the articles and extracted relevant data. Methodological quality was assessed using the QUADAS2 index. A synthesis of the results, standardization of the metrics, and three random-effect meta-analyses were performed.
Results
Five studies with data from 533 participants (including 219 patients with a confirmed diagnosis of AA and 107 controls) were included in this review. The random-effect meta-analysis of serum CA-125 (AA vs controls) included 5 articles (125 AA and 70 controls) and resulted in a non-significant mean difference [95% CI] of -6.80 [-20.51,6.92] U/mL (p = 0.33). The meta-analysis by subgroups that included only male patients resulted in a significant mean difference [95% CI] of 3.48 [0.46,6.49] U/mL (p = 0.02)
Conclusions
Although serum CA-125 does not appear to be a good overall marker for the diagnosis of AA, our subgroup analyses show that this marker could be useful for diagnosing AA in males. It also appears to be a potentially useful tool for discriminating complicated and uncomplicated AA. However, the limited number of included studies precludes drawing generalizable conclusions. Future prospective studies focused on males are required to confirm these findings.
Registration: PROSPERO (CRD42023450988).
KubeDeceive Unveiling Deceptive Approaches to Protect Kubernetes Clusters
Authors: Aly Abdelrahman , Fayez Mahmoud , Al-Qutt Mirvat , Hamad ahmed 
Published: December 2023

Abstract
The widespread adoption of containerization platforms such as Kubernetes has revolutionized application deployment and management but also introduced complex security challenges. Deception-based strategies reinforce security by misleading attackers with deceptive resources. This paper proposes deception techniques for Kubernetes, developing a novel security framework, KubeDeceive. KubeDeceive functions as a router, intercepting requests to the Kubernetes API server and redirecting malicious users to decoy components. Its efficacy was tested in a Capture the Flag (CTF) competition, simulating real-world attacks. The competition involved static and dynamic deception methods, including randomized secrets and real-time countermeasures against participants' attempts. KubeDeceive was highly effective, achieving a 100% success rate in preventing any participant from creating a master node pod, and trapping 89% of participants in deception decoys. Moreover, participants spent an average of 160 minutes in their failed attempts in dynamic scenarios, which demonstrates KubeDeceive's roust impact in prolonging attacker engagement and completely thwarting their objectives.
Mesh-based topology, shape and sizing optimization of ribbed plates
Authors: Amir Oded , Majdouba Ahmad Abdulrahman Ahmad 
Published: December 2023

Abstract

In this paper, we present a new parameterization and optimization procedure for minimizing the weight of ribbed plates.The primary goal is to reduce embodied CO2 in concrete floors as part of the effort to diminish the carbon footprint of the construction industry. A coupled plate-beam finite element model and its computational mesh enable simultaneous topology, shape and sizing optimization of ribbed plate systems.Using analytical sensitivity analysis and gradient-based optimization, we achieve significant weight reductions in the range of 24\%-57\%, in comparison to reference designs with regular ribbing patterns. The results strengthen the argument in favor of ribbed plates as a structural system that can serve the environmental goals of the construction industry.While our focus is on ribbed concrete plates in buildings, the proposed mesh-based design parameterization is applicable in the general case of optimizing stiffened shells - with potential contributions also to automotive and aerospace applications.
Metagenomics reveals diversity and predation of DNA viruses in activated sludge and anaerobic digester
Authors: Lin Tzu-Yu , Liu Wen-Tso 
Published: December 2023

Abstract
Background
Prevalent viral particles are found in activated sludge (AS) and anaerobic digester (AD) during wastewater treatment processes. In contrast to the conventional approaches, culture-independent metagenomic method opens up the possibility to characterize uncultured viruses, which were previously inaccessible. In this study, we aimed to investigate the involvement of viruses in AS, mesophilic AD, and thermophilic AD using metagenomic sequences. We constructed the viromes, predicted the potential host, and profiled the functional genes in the viral genome.
Results
From a total of 64 samples, 42,548 viruses were detected. Among them, 43.6% were classified to Uncultivated Viral Genomes (UViGs) by the IMG/VR database and 28.5% were clustered into viral clusters (VCs) using vConTACT2. In total, only 18.2% of the viruses were taxonomically assigned to known viral families, with Siphoviridae, Myoviridae, Inoviridae, and Podoviridae being the most commonly observed. Most of the detected viruses were associated with engineered ecosystem, and more viruses in AS were associated with environmental ecosystem than in mesophilic and thermophilic AD. Diversity analysis suggested that the local habitat has a greater impact on the AD viromes than the immigration effect. Host prediction revealed that viruses in AD were mostly linked to site-specific active populations involved in syntrophic fatty acid oxidation, methanogenesis, hydrolysis, and fermentation. Functional gene annotation revealed that the viral gene profile follows the microbial gene profile, suggesting that viruses in AD not only tend to infect site-specific active hosts but also acquire functional genes transferred from the hosts.
Conclusions
Overall, this study provided insights of the viral diversity in the wastewater treatment process and uncovered the potential viral involvement in AD.
Dual H 2 O 2 /GSH-Sensitive MnO 2 -Coated Mesoporous Silica Nanoreactor Fabrication with Saikosaponin-d Loading for Hypoxia Alleviation Enhancing Thyroid Carcinoma Chemotherapy
Authors: Wang Menghan , Mai Zhongchao , Ye Ying , Song Yanan , Zhang Miao , Yang Xinlin , Zhao Bin , Xia Wei 
Published: December 2023

Abstract
The O2-dependent chemotherapy usually exhibits limited therapeutic efficiency toward hypoxic solid tumors because of inadequate O2 supply in tumor vasculature. Hence, an O2-elevated nanoplatform for delivering chemotherapeutics and eradicating malignant tumors needs to be urgently developed. In this study, MnO2 nanoenzyme was coated on GSH-sensitive mesoporous silica. Subsequently, an intelligent nanoreactor was constructed after saikosaponin-d (SSD) loading in the mesopore channels and folic acid anchoring on the rough surface. After precise targeting of thyroid tumor cells, the obtained nanoreactor induced the decomposition of tumor endogenous H2O2 to relieve hypoxic tumor microenvironment. In the meantime, the tetrasulfide bonds of silica were broken by cytoplasmic GSH to release the loaded therapeutic molecules. Consequently, a remarkably enhanced chemotherapeutic effect of SSD was achieved both in vitro and in vivo. The mechanism underlying the tumor cell–killing effect was demonstrated to involve massive O2 generation, which facilitated the interruption of the PI3K/Akt signaling pathway. The outstanding biocompatibility of the H2O2/GSH dual-sensitive Mn-based nanoreactor offered an exceptional chemotherapeutic effect against malignant tumors.
Convolutional neural network for subharmonics detection in Hardware-In-the-Loop
Authors: Yushkova Marina , Zambreno Joseph , Sanchez Alberto , de Castro Angel 
Published: December 2023

Abstract
Hardware-In-the-Loop (HIL) has become a popular technique for testing real-time complex systems.One of its possible applications is power converter modeling in order to test digital controllers.When a switching converter model is used, the output of the controller can be read incorrectly by the model due to the lack of synchronization of their clocks.Therefore, undesirable oscillations (subharmonics) can appear in the output due to the aliasing effects, which prevent the HIL model from its normal functionality.While there are various solutions present in academic and industrial research in order to address this arising problem, there is no automatic algorithm to detect it when a reference model is not available. In this paper, we implement a one-dimensional convolutional neural network which allows detecting the aliasing distortions.The 1D network was chosen due to the kind of the signal to be classified - an inductor current of the converter model, which is in effect a 1D time sequence.The proposed CNN architecture is shallow and consists of 27 layers only.Despite its simplicity, it shows remarkable performance of more than 99% for both validation and testing datasets, and for the post-training characteristics.Moreover, it makes the architecture potentially implementable in embedded systems, like a real-time HIL system, what can be a good objective for future research.
The Origin of Global Environmental Vulnerability
Authors: Hossain Md. Faruque 
Published: December 2023

Abstract
Border among nations is the primary barrier to the adaptation process of mother nature. It causes huge population density in a limited area which drives huge consumption of natural resources to meet the daily basic needs of the dense population. Subsequently, it enforces to building of a dense conventional development to lead a modern life, resulting in, the formation of huge environmental pollution, global health crisis, and climate change perplexity. Hence, the effects of the dense population due to the borders among the nations have been investigated by implementing the Integrated Assessment Models (IAM) gravity model which suggested that the dense population accounts for severe CO2 emissions and global health crises throughout the world. Naturally, the quantification of border effects on population distribution in relation to CO2 emissions due to the conventional development worldwide has since been carried out, and the results suggested that it is contributing to huge emissions of CO2 which accounts for severe climate change crisis. Simply, this research finding suggested that restrictive bordering among the nations throughout the world increase dense exposure of the people in a limited area which plays a vital role in deliberations of CO2 emission, global health problems, and climate change crisis which is a clear danger for the for the planet earth to survive it near future.
Thresholds of accelerated basal melting of the Antarctic Ice Sheet in climate projections
Authors: Song Pengyang , Scholz Patrick , Knorr Gregor , Sidorenko Dmitry , Timmermann Ralph , Lohmann Gerrit 
Published: December 2023

Abstract

Basal melting of Antarctic Ice Shelves is thought to be a key process in the future evolution of the Antarctic Ice Sheet and large-scale ocean circulation. Observations show that most ice shelves in West Antarctica are melting rapidly, while for the two largest ice shelves, the Filchner--Ronne and Ross Ice Shelf (FRIS and RIS), melt rates are still relatively low, implying the potential threat of accelerated mass loss in the future. By prescribing freshwater forcing projected by ice sheet models, previous studies emphasize the essential and complex role of ice-shelf meltwater for future climates, including an abyssal ocean overturning slowdown, sea ice expansion and global warming reduction. However as yet, only very few model approaches have taken an explicit simulation of ice-shelf cavities into account. Here we implement Antarctic ice-shelf cavities into a complex state-of-the-art multi-scale Earth system model to investigate the responses and feedbacks of ice-shelf basal melting in climate projections. We find that a combination of regional hydrography and topography dominantly determines the existence of a tipping point. At this point warm water intrudes the FRIS-cavity intensely, which causes a rapid increase in the melting rate and freshwater release in response to increasing CO2 levels already within this century. In contrast, a more gradual response is simulated for the RIS. However, despite a possible FRIS instability, our results suggest that previous ice sheet modelling and freshwater experiments have overestimated future ice shelf melt. Hence, comprehensive model approaches, including both interactive ice sheets and their cavities, represent an urgent need for an enhanced assessment of the combined effects in climate projections.
Study on spatial spillover effect of haze pollution based on a network perspective
Authors: Hu Yuanhao , Liu Zuhan , Fang Zihai 
Published: December 2023

Abstract

In recent years, with the increase of pollution control and ecological environmental protection, the quality of the ecological environment in China has continued to improve, but the problem of haze pollution with PM2.5 characteristics should not be underestimated. Daily PM2.5 data of 11 prefecture- level cities in Jiangxi Province from January 1 to December 31, 2022 were selected, and the spatial spillover effects of haze pollution from a network perspective. Main findings are as follows: (1) The spatial correlation network of haze pollution for the 11 prefecture-level cities in Jiangxi Province is constructed using the Granger causality test. (2) the network characteristics are get by utilizing social network analysis. Partial result Nanchang emerges as the most significant media city in this network. (3) The network can divided into four distinct sectors, namely a sector representing net benefits, a sector indicating net overflow, a bilateral overflow sector and broker sector. These four sectors have distinct geographical distributional characteristics. (4) The spatial correlation network of haze pollution in the 11 prefecture-level cities was found to be correlated with the level of urbanization difference by QAP regression analysis, but the single urban population proportions did not pass the significance level test of 10%. Based on the analysis above, this paper considers that it is an important strategy for the Jiangxi Province haze control to establish a regional collaborative prevention and control mechanism, implement the differentiated regional governance strategy, and achieve the high-quality development of the whole province.
NMR studies of complex formation between natural cyclodextrins and benzene
Authors: Szczupaj Gabriela Kaja , Wójcik Jacek , Ejchart Andrzej , Nowakowski Michał Eligiusz 
Published: December 2023

Abstract
Inclusion complexes of benzene (Bz) with cyclodextrins (CD) have been investigated so far using non-NMR techniques resulting in conflicting data. Here, the first application of NMR spectroscopy in combination with rigorous statistical analysis of the results has allowed us to determine accurately the stoichiometry of complexes and their association constants. Titration measurements have been performed by 1H NMR spectroscopy in D2O at a magnetic field B0 of 14.1 T. αCD and γCD host molecules form weak 1 : 1 complexes with Bz. In contrast, Bz and βCD build 1 : 1 and 2 : 1 complexes coexisting in solution with large binding constants. Binding of second benzene molecule is strongly cooperative.
Estimation of Reference Evapotranspiration (ET0) using Intelligent Methods based on Lysimetric Measurements with different soils and grass species
Authors: Ahmadifar Vahdat , Delirhasannia Reza , Sadraddini Ali Ashraf , Ostad-Ali-Askari Kaveh 
Published: December 2023

Abstract
Four intelligent methods of Gene Expression Programming (GEP), Support Vector Machines (SVM), Multivariate Adaptive Regression Splines (MARS), and Random Forests (RF) were employed and run to estimate the reference evapotranspiration (ET0). Based on the four categories of radiation, mass transmission, temperature, and combination models, weather variables are used in four groups as inputs of the intelligent models. To involve all data in the training and testing process of the models, the K-fold cross-validation technique was employed. Finally, evaluation of the presented intelligent models was performed with measured data of the six sets of lysimetric data (two grass species × three soil textures), also the effect of soil texture and species on intelligent models was investigated. The results obtained indicate that the RF models performed the best among the four groups, which is followed by SVM, MARS, and GEP models, respectively. The best performance belonged to the RF model from the Combination group (RF1) with the values of coefficient of determination, R2 = 0.833; mean bias error, MBE = -0.007 mm/day; mean absolute error, MAE = 1.07 mm/day; root mean square error, RMSE = 1.357 mm/day, and scatter index, SI = 0.184. Based on the ranks of accuracy, the order of the models, from the best to the worst, were: RF2, MARS1, SVM1, RF3, MARS2, GEP1, SVM2, GEP2, RF4, SVM3, MARS3, SVM4, GEP3, GEP4, and MARS4, respectively. The estimated ET0 values by the models indicated higher accuracy for the lysimeters with Sandy Loam Soil compared to other lysimeters. The performance comparison of the intelligent models for the planted grass species in lysimeters yielded different results, as the accuracy was higher for the Festuca grass in Sandy Loam soils compared to the Lolium grass, in contrary in clay and Silt Loam soils the performance of Lolium grass was better.
The role of local indigenous institutions in enhancing social capital for adoption of agricultural innovations: A special emphasis in Ethiopia
Authors: Lakew Molla Tadesse 
Published: December 2023

Abstract
Researchers tried to find out the socioeconomic and supply-side constraint factors to adoption. However, they overlooked the role of social networks and relationships among the community. Therefore, the aims of this review were to review the roles and negative effects of social capital. Based on its contents, relevancy, and time duration, only 129 (82 journals, 29 books, and 18 paper reports) were selected. It concludes that social capital has an indispensable role in facilitating cooperation and connection between members of the farmers' community, informal and experiential knowledge sharing, and access to research-based knowledge and contributes to reducing the transaction cost of adoption. On the contrary, inside the black box of social capital, the negative effects include the exclusion of outsider’s knowledge and experiences, excessive claims on group members, and restrictions on individual freedom.
Exploration of the intricacies of low light-induced changes in cigar tobacco leaf anticlinal growth: A holistic approach from anatomical and hormonal levels to gene expression
Authors: Ma Xinghua , Yang Jinpeng , Ren Xiaochun , Chen Keling , Yang Chunlei , Gao Huajun , Khan Rayyan 
Published: December 2023

Abstract
Cigar tobacco stands as a pivotal economic crop, with its leaf growth and development profoundly influenced by light intensity. It specifically aims to investigate how leaf morphology and anticlinal growth respond to varying light intensities, including normal light intensity (NL–300 µmol m− 2 s− 1) and lower light intensity (LL–100 µmol m− 2 s− 1). The research elucidates significant morphological shifts in cigar tobacco leaves under LL, revealing notable alterations in leaf area, leaf length, and leaf width. Early reductions in leaf dimensions, ranging from 30–48%, were succeeded by a substantial enhancement in expansion rates from day 9 to day 26, contributing to expanded leaf surfaces at later stages. Upper epidermis thickness declined by 29 − 19%, with a notably slower expansion rate in the initial 20 days. Palisade cell length consistently decreased by 52 − 17%, corresponding with upper epidermis trends. Spongy tissue thickness was reduced by 31 − 12%, with a slower expansion rate in LL for the initial 14 days, and leaf thickness dropped by 34 − 11%. LL resulted in slower leaf anticlinal expansion, leading to reduced leaf thickness (LT). LL significantly influenced phytohormones in cigar tobacco leaves. Gibberellic acid (41–16%) and auxin (20–35%) levels were found in higher amounts, while cytokinin levels (19–5%) were lowered compared to NL, indicating the intricate regulatory role of light in hormonal dynamics. The observed increase in LT and different cell layers at specific time points (day 8, day 12, day 24, and day 28) under LL, although lower than NL, may be attributed to elevated expression of genes related to cell expansion, including GRF1, XTH, and SAUR19 at those time points. This comprehensive understanding elucidates the intricate mechanisms by which light intensity orchestrates the multifaceted processes governing leaf anatomy and anticlinal expansion in cigar tobacco plants.
Dissemination of Faith in The Early Muslim Community in The Mecca Period: An Analysis of The Process And its Impact on Islamic Faith Education
Authors: Abdurrohim Abdurrohim , Adiyono Adiyono , Harun Makmur 
Published: December 2023

This article discusses the historical chronicles of Prophet Muhammad SAW and their significance in integrating faith values into Islamic education. The focus of this research is on the historical process that occurred during the period of Mecca, where the foundation of the Islamic faith was laid. This study aims to explore the dissemination process of the Islamic faith during the early Muslim community in Mecca, its significance in integrating faith values in Islamic education, and its implications for the renewal of the curriculum and teaching methods of the Islamic faith in the present time. This study uses the prophetical-transformative theory proposed by Kuntowijoyo, which emphasizes the integration of modern science with the prophetic ideals of Islam. The article concludes that the historical chronicles during the time of the Prophet Muhammad saw. are crucial for understanding the foundation of the Islamic faith and its integration into Islamic education. The paradigmatic core values in Islamic faith education emphasize the importance of core values, which should be the basis for religious education. These core values reflect profound principles in Islam and should be an integral part of efforts to reform the Islamic faith learning curriculum. This article recommends the rediscovery of the historical facts of the dissemination of the Islamic faith during the early Muslim community in Mecca as a basis for the renewal of the curriculum and teaching methods of the Islamic faith in the present time.