bluuebunny/crossref_metadata_2025_split huggingface dataset:
Synergistic response of extremophiles in cyanobacterial crusts against in-situ exposure to multiple stratospheric stresses
Authors: Zhang Xian , Li Qi , Yang Haijian , Li Hua , Hu Chunxiang 
Published: January 2024

Abstract
Background
The stratosphere, with its harsh conditions similar to the Martian surface, provides a unique and relatively accessible environment for studying the adaptation of extremophiles in anticipation of extraterrestrial colonization applications. However, we are just beginning to understand the synergistic response of microbial communities under this Mars-like near space. Using cyanobacterial crusts from deserts, as a multitrophic model system, we loaded it on a balloon-borne astrobiology platform for direct exposure to multiple stratospheric stresses such as high radiation and extreme temperature fluctuations. We then performed multi-omics analyses to delineate the underlying composition alterations and metabolic response at the community level.
Results
After short-term in-situ exposure, a significant shift in the community composition of active members was observed that the relative abundance of photoautotrophs declined while chemotrophic abundance increased. We tracked the changes in metabolic processes against the stratospheric ambiance and found that life history strategies associated with resource acquisition, growth potential, and stress tolerance were regulated distinctively in different microbial categories. For instance, α-proteobacteria and chloroflexi tended to enhance the strategies related to the ability of stress tolerance, while actinobacteria assigned more resources to reinforce their growth potential. Cyanobacteria contributed to the promotion of different strategies, indicating their significant adaptability differentiation. Moreover, we demonstrated the unique thriving of Scytonema, a diazotrophic genus of cyanobacteria, attributed to its synthesis of anti-ultraviolet scytonemin, diverse material, and energy acquisition. These synergistic responses further induced interspecies mutualistic nutrient interactions, thus promoting the retention of organic carbon and nitrogen within the community, finally maintaining the stability of biocrusts in extreme environments of the stratosphere.
Conclusions
Our study underscores the adaptive resilience of cyanobacterial crusts under stratospheric conditions, with a notable shift in microbial composition and metabolic strategies. The robustness of Scytonema, particularly its unique survival capabilities, highlights its potential for extraterrestrial colonization. These findings expand our understanding of microbial proliferation in extreme environments, providing valuable insights for future astrobiological endeavors.
Feature Fusion and Sliding Migration Attention for Pneumonia CXR Detection
Authors: Ji Dongsheng , Zhuoma Caidan , Wang Xin , Zhao Qianchuan 
Published: January 2024

Abstract
Accurate assessment and detection of pulmonary lesions are of paramount importance in the treatment of lung diseases. Chest X-rays (CXR) serve as a critical screening method, allowing physicians to differentiate between normal and diseased tissues by examining the level of X-ray absorption in the chest. However, as diseases progress, pulmonary lesions associated with pneumonia can transition from a singular pattern to a more diverse set of features. These features manifest as more intricate textures in chest X-ray images and are often surrounded by interference from multiple low-density tissues, posing a significant challenge for lesion detection in the lungs.Hence, this paper proposes an improved YOLOv8 network model for the detection of pulmonary lesion features. This model employs novel Swin Transformer attention modules and feature fusion methods to accurately pinpoint the lesion areas based on the patterns and regularities of lesion evolution. It categorizes the lesions into three types: consolidation, infiltration, and ground-glass opacities. This approach will provide more dependable support for disease progression assessment and clinical diagnosis and treatment.
Optimizing Athletic Performance Analysis with ACED-GBS: A Convolutional Encoder-Decoder Approach
Authors: Ruan Hui 
Published: January 2024

Abstract
Sports performance improvement and prediction contains the analysis of various factors influencing athletic performance, including player statistics, team dynamics, injuries, and environmental conditions. Challenges of traditional methods in sports performance improvement and prediction include data privacy concerns, over fitting issues, complexity, and interpretability. To overcome these complexities, this paper proposed a novel method named the Adaptive Convolutional Encoder-decoder-based Gooseneck Bernacle Search (ACED-GBS) algorithm. In this study, a Convolutional Neural Network (CNN) is utilized to extract data related to athletes’ sports performance. Additionally, the encoder-decoder is employed to efficiently capture the interactions between the information. In this work, the Gooseneck Bernacle optimization with initial search strategy is implemented for hyperparameter optimization to enhance the performance of the ACED-GBS method and the study conducted experiments on the ODI-Players performance dataset. Different evaluation metrics namely precision, accuracy, recall, F1-score, specificity, etc are utilized to evaluate the performance of the ACED-GBS method and compare its performance with existing methods. The experimental outcomes depict the effectiveness of the ACED-GBS method for sports performance improvement and prediction. The experimental analysis demonstrates that the convergence speed of the ACED-GBS method is high, the error is low and the prediction performance is more accurate with high noise immunity and practicality compared to traditional methods.
Tangeretin, An Active Flavonoid in Citrus Peel, Alleviates Cisplatin-Induced Cardiotoxicity via the Activation of AMPK and the Prevention on Mitochondrial Dysfunction
Authors: Wang Jian-qiang , Zhang Ruo-bing , Hu Jun-nan , Xing Jing-jing , Tang Shan , Zheng Si-wen , Chen Chen , Lei Feng-jie , Wang Zi , Li Wei 
Published: January 2024

Abstract

Cardiotoxicity is a major side effects of cisplatin use in cancer therapy and often delays optimal cancer management. Tangeretin (TG), a natural polymethoxyflavone found in citrus peels, exhibits significant biological activity against myocardial injury. In this study, we initially explored the protective effect of TG on cisplatin-induced cardiotoxicity in vitro and in vivo. TG (1.25, 2.5, and 5 µM) protected against cisplatin-induced (40 µM) injury in H9c2 cells, increased the quantity of mitochondria, enhanced membrane protein expressions of glucose transporters (GLUT 4), and stabilized the mitochondrial membrane potential. Concurrently, cisplatin-induced cardiotoxicity in vivo was significantly mitigated by TG (50 and 100 mg/kg for 3 weeks).This was evidenced by the reduction of cardiac function indices (creatine kinase, isoenzymes MB, troponin T, and lactate dehydrogenase), cardiac morphological changes, and the suppression of heart injury-associated proteins. Furthermore, TG treatment significantly increased the activation of AMP-activated protein kinase (AMPK), reduced the inactivation of ACC protein, and decreased the expression of phosphorylated p38 MAPK protein, which inhibited the opening of myocardial mitochondrial permeability transition pore and cell apoptosis. In conclusion, our work provides insight into the underlying molecular mechanisms through which TG modulates AMPK signaling pathways and mitochondrial dysfunction, thus protecting the heart against cisplatin-mediated myocardial injury.
Differentiatiing between Rhizophora mangle, Avicinnea germinans, Laguncularia racemose and Conocarpus erectus populations from Anlo Beach in the Shama District of Ghana using RAPD
Authors: Dompreh Daniel , Ankobra Rosalinda Appiah , Acquah Emmanuel , Sevor Dora 
Published: January 2024

Abstract
Mangroves cover about cover about 3.9% of the entire 550km coastal stretch of land from Eastern to Western region of Ghana. Despite the important ecological services and socio-economic benefits mangroves provide, they are increasingly exploited for domestic activities including fuel wood and therefore require immediate protection to prevent the few remaining populations from extinction. Rhizophora mangle (red mangroves), Laguncularia racemose (white mangroves) and Avicennia germinans (black mangroves) are the three most common mangrove species in Ghana. They mostly grow in association with Conocarpus erectus and many people classify Conocarpus as mangrove due to some common morphological characters they share. Though it is possible to distinguish between the three common mangrove species and Conocarpus erectus using morphological markers, it remains difficult to identify individuals in mixed populations therefore using molecular markers could enhance understanding and identification of the species. Genetic variation in Rhizophora mangle, Laguncularia racemose, Avicennia germinans and Conocarpus erectus was studied using Random Amplified Polymorphic DNA (RAPD). Intra-and interspecific variations were observed using ten out of 15 primers screened. RAPD markers were also used to produce similarity matrix among individuals of a species. A higher degree of polymorphism (94%) was observed within populations of Rhizophora mangle, Laguncularia racemose, Avicinnea germinans, and Conocarpus erectus while (6%) was observed among the populations. PhiPT-value of 86.3% (0.863) indicates considerable degree of difference between the mangrove populations and Conocarpus erectus, however, they shared some few common genes together. Knowledge from this research will help develop conservation strategies for mangroves and Conocarpus in Ghana.
A Comprehensive Survey Integrating Scientometric Analysis and ML approaches for Data Protection
Authors: Yaseen Haseeba , Hassan Syed Imtiyaz 
Published: January 2024

Abstract

The extensive implementation of smart contracts in blockchain ecosystems has brought significant benefits, particularly in enhancing transparency and transactional effectiveness. However, this remarkable advancement has also raised substantial concerns regarding the protection of sensitive data during smart contract execution. This research analysis delves into an in-depth examination of the constantly evolving domain of data privacy in the realm of smart contracts, going beyond the inherent transparency that defines blockchain technology. In this pursuit, we embark on an exploration of existing literature through a bibliometric analysis, shedding light on the trends and developments in this crucial field of study. Our objective is to discern the key challenges and issues confronting data privacy. Through a systematic bibliometric analysis, we aim to identify and evaluate the efficacy of current privacy-preserving mechanisms while pinpointing potential avenues for future research endeavors to address privacy concerns in smart contracts comprehensively. This literature review, informed by bibliometric insights, not only advances our collective understanding of data privacy within smart contracts but also offers invaluable guidance to developers, researchers, and policymakers seeking to shape and implement privacy-enhancing measures in forthcoming blockchain-based systems.
50-year deprivation trajectories: local area change in England and Wales, 1971-2021
Authors: Norman Paul , McLennan David , Ferguson Sara , Catney Gemma , Lloyd Chris 
Published: January 2024

Abstract

Since 1971, the decennial censuses of England and Wales have underpinned the construction of various local level deprivation measures. Many policy-related and academic studies have used deprivation scores calculated cross-sectionally to identify geographical areas in need of regeneration and to explain spatial variations in health outcomes. However, such an approach masks the sometimes very distinct challenges faced in areas with different deprivation histories. There is, therefore, a need to consider the deprivation trajectories of areas over a long time run. This can then enable, for example: monitoring the effects of industry closure; assessing the impacts of area-based planning initiatives; and determining whether a change in the level of deprivation leads to changes in health outcomes. It can also be used to consider what interventions may be linked with positive changes and which could then possibly be implemented elsewhere. Here we extend previous work to cover a 50-year period using input variables relating to employment, housing, and car accessibility, from the six censuses from 1971 to 2021. We identify areas of persistent (dis-)advantage, those areas which have improved their deprivation situation, and those places where the situation has worsened. We cross-classify the changing deprivation measurements with the Office for National Statistics (ONS) Supergroups area classification to thereby determine how different types of area are faring. On average, areas are less deprived in 2021 than in 1971. However, the trajectories of the input variables and of overall deprivation are not linear. The earlier decades are distinctive in rapid falls in non-home ownership and lack of car access but rises and falls in unemployment. The more recent decades have seen rises in non-home ownership and household overcrowding. Geographically, there has been a shift from a widespread level of deprivation, including in more rural areas in 1971, to being more concentrated in urban areas in the 21st Century.
Assessment of the impact on boron treatment for finger-jointed Pine (Pinus caribaea) wood by impregnation method
Authors: Muthumala Chaminda , Silva Sudhira , Arunakumara K. K.I.U. , Alwis P. L.A.G. 
Published: January 2024

Abstract
Timber material could be considered as a leading environmental friendly construction material. Timber stores as much as 15 times CO2 released during its manufacture whereas Aluminium and steel store negligible amounts. Finger joint is a sustainable, eco-friendly and economically valuable concept for timber industry. It ensures the sustainable utilization of small wood cut pieces which removed as waste. Chemical protection of wood is performed with preservatives, such as fungicides, insecticides, fire retardants and UV protective finishes that are applied for wood materials. Softwood timber species are subjected to easily deteriorate by the actions of wood destroying agents. Thus preservation is needed to enhance the durability of such wood. Major objective of this study is to evaluate of the impact on Boron treatment for finger-jointed Pine wood specimens and enhanced the durability of Pine wood timber planks. Specimens with 19 mm finger joint length of Pine wood were used for this study. Average tensile strength values of treated and untreated finger-jointed Pine specimens are higher than the recommended minimum requirement of tensile strength value ( ≥ 10 N/mm2). Failure modes of treated and untreated finger-jointed Pine specimens also described. Thus, it can be recommended that Boron treated finger-jointed Pine timber planks with 19 mm long fingers can be effectively used in industrial applications with enhancing the durability of Pine wood timber planks.
Exploring the Association Between Type of Pain and Mental Health With Four Dimensional Symptom Questionnaire
Authors: Sipahioglu Nurver Turfaner , Fenercioglu Aysen Kutan , Demircan Ebru Unur , Karabacak Sevda , Ser Merve Hazal , Kafadar Didem , Sayılı Ugurcan , Engin V. Selçuk 
Published: January 2024

Abstract
Background:
A biopsychosocial approach is needed to assess the background of headache and pain disorders for their effective treatment.
Method:
Four dimensional symptom questionnaire (4DSQ) was used to determine the mental health status of 158 participants who were seperated into four groups as follows: 1: Control; 2: Headache, 3: Bodily pain without headache, 4: Headache with bodily pain.
A demographic data form, a pain questionnaire querying the type, severity, duration of pain and other pain attitudes were both applied to the participants. The data were evaluated by SPSS 21, using Kruskal Wallis, Fischer’s exact, Chi square tests and logistic regressions.
Results:
Participants with headache (groups 2 and 4) had significantly higher scores on all four dimensions of 4DSQ than participants without headache (group1 and 3) (p<0.01). Headache group was significantly different from those without headache in terms of gender, age, income, occupation, psychiatric disease, exercise, alcohol use, and diabetes (p=0.001, p=0.001, p=0.001, p=0.001, p=0.031, p=0.023, p=0.005, p=0.018, respectively).
Participants with headache and bodily pain (group4) had significantly higher scores on somatization and distress than other three groups (p<0. 001), and higher scores on depression than control group (p=0. 006) and higher scores on anxiety when compared to control and ‘bodily pain without headache’ groups (group 1 and 3) (p<0.001).
The severity of pain was significantly correlated with anxiety (p=0.014), distress (p=0.003), and somatization (p=0.032).
The severity of pain was significantly higher in the group with headache and bodily pain when compared to bodily pain group (p=0.003).
In the logistic regression analysis performed to determine the factors that independently affected headache symptom: somatization (OR: 4.75;1.90-11.87) and lower or middle income levels (OR: 9.13;1.64-50.77, OR: 5.67; 2.18-14.74, respectively) were directly related while older age (OR:0.93; 0.89-0.97) and alcohol use (OR:0.20; 0.07-0.58) were inversely related with headache symptom.
Discussion and conclusion:
Patients with primary headache are likely to have a multifaceted etiology as well as comorbidities.
Socioeconomic and several individual factors seem to influence the relationship between headache and mental symptoms .
It is of paramount importance for primary health service providers not to overlook psychiatric symptoms and to interrogate pain in other regions to improve patient compliance and satisfaction.
Exploring serum metabolic profiles in postmenopausal osteoporosis women by using NMR metabolomics and network pharmacology
Authors: Sun Na , Li Xiaofei , Liu Guoyan , Xu Wanli 
Published: January 2024

Abstract
Objective: To investigate the distinctive metabolites within the serum of women afflicted with postmenopausal osteoporosis (PMOP), and clarify the mechanism of PMOP development in combination with network pharmacology.
Methods: 150 female participants were divided into two teams: the PMOP team (C/D/E/F groups, n=30/group) and the control team (A group, n=30). All women's clinical indicators and basic information were collected and recorded. The hydrogen profile characteristics of all participants were analysed by nuclear magnetic resonance (NMR), and the differences in serum metabolic profiles between the PMOP and control teams were analysed by multivariate analysis using principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA) and orthogonal partial least squares-discriminant analysis (OPLS-DA). PMOP disease-related targets from Genecards, OMIM, DisGeNET, DrugBank, TTD and other databases were selected for pathway enrichment analysis.
Results: The serum differential metabolites between the PMOP and control teams included Creatine, Ethanolamine, Formate, Glutamine, Glycerol, Isobutyrate, Isoleucine, Lactate, LDL, CH3-(CH2)n-, Leucine, Lysine, Malonate, Methoinine, Phenylalanine, Pyruvate, Tyrosine, Valine, -CH2-CH2-C=O, α-Glucose, and β-Glucose. The pathways of serum metabolite enrichment include Aminoacyl-tRNA biosynthesis; Valine, leucine and isoleucine biosynthesis; Nitrogen metabolism; Valine, leucine and isoleucine degradation; Glycolysis or Gluconeogenesis. Major pathways enriched for PMOP targets include Pathways in cancer, Cytokine-cytokine receptor interaction, PI3K-Akt signalling pathway, Neuroactive ligand-receptor interaction, and Lipid and atherosclerosis.
Conclusions: The PMOP team differed from the control team in amino acid metabolism, glucose metabolism, lipid metabolism, and energy metabolism pathways. Formic acid may be a potential biological marker for PMOP.
Hybrid composite of gold nanoparticles with polyacrylamide hydrogel: one-step synthesis, preparation of plasmon films, characterization
Authors: Tatarchuk Vladimir , Gromilov Sergey , Plyusnin Pavel 
Published: January 2024

Abstract
Hybrid composites of gold nanoparticles (Au NPs) with polymer hydrogels are promising platforms for the development of new materials that can respond to external stimuli (chemical, physical, mechanical), reversibly absorb/release water and reagents, act as plasmonic sensors, and also be triggers of photochemical processes and photothermal actuators of micromechanical processes. In our study we have (1) proposed a one-step method for the synthesis of a hybrid composite of Au NPs with polyacrylamide hydrogel (PAAm) by the reduction of HAuCl 4 with acrylamide (AAm) and simultaneous radical polymerization of AAm in an aqueous solution, (2) optimized the conditions for obtaining a phase-stable product, (3) studied the effect of the initial concentrations of Au and AAm on the morphology and structure of Au NPs, (4) obtained and characterized plasmonic films from the Au NPs-PAAm composite and after thermal removal of the polymer matrix. The methods of UV-visible and photon correlation spectroscopy, X-ray diffraction, synchronous thermal analysis, transmission and scanning electron microscopy were used in the work. Graphical abstract