bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Hybrid CNN-Transformer Architecture with Frequency Domain Contrastive Learning for Image Deraining
Authors: Wang Cheng , Li Wei 
Published: August 2023

Abstract
Image deraining is a challenging task that involves restoring degraded images affected by rain streaks. While Convolutional Neural Networks (CNNs) have been commonly used for this task, existing approaches often rely on stacked convolutional basic blocks with limited performance and compromised spatial detail. Furthermore, the limited receptive field of convolutional layers leads to incomplete processing of non-uniform rain streaks. To address these concerns, we propose a novel image deraining network that combines CNNs and trans- formers. Our network comprises two stages: an encoder-decoder architecture with a triple attention mechanism to capture valuable features and residual dual branch transformer blocks that enhance local information modeling. To address the transformer’s lack of local information modeling capability, we intro- duce convolution in the self-attentive mechanism of the transformer block and feed-forward network. Additionally, we employ a frequency domain contrastive learning method to enhance contrastive sample information, ensuring that the restored image closely resembles the clear image in the frequency domain space, while still retaining a distinction from the rainy image. Extensive quantitative and qualitative experiments demonstrate that our proposed deraining network outperforms existing methods on public datasets.
ZnO nanoparticles induced biofilm formation in Klebsiella pneumoniae and Staphylococcus aureus at sub-inhibitory concentrations
Authors: K Sreekanth , N Safa , Theresa Mary , E.K. Radhakrishnan 
Published: August 2023

Abstract

Biofilm formation by pathogenic bacteria generates a serious threat to the public health as it can increase the virulence potential, resistance to drugs and escape from host immune response mechanisms. Among the environmental factors that influence the biofilm formation, there are only limited reports available on the role of antimicrobial agents. During the antimicrobial drug administration or application for any purpose, the microbial population can certainly be exposed to sub-minimum inhibitory concentration (sub-MIC) which will have diverse impact on microbial responses. Hence, the study was conducted to investigate the effects of sub-MIC levels of new-generation antimicrobial agents, the nanoparticles on the biofilm formation of Klebsiella pneumoniae and Staphylococcus aureus by taking zinc oxide nanoparticles (ZnO NPs) as the candidate nanomaterial. Here, the selected bacteria were screened for their ability to form biofilm using the Congo Red Agar method and the antibacterial activity of ZnO NPs was also evaluated. The direct quantification of biofilm formed by selected organisms in the presence of sub-MIC levels of ZnO NPs was further carried out by using the microtiter plate-crystal violet assay. Further, the samples were studied by atomic force microscopy (AFM) to evaluate the properties and pattern of biofilm modulation under different conditions. From these, the organisms treated with sub-MIC levels of ZnO NPs were found to have enhanced biofilm formation when compared with the untreated sample and no growth could be observed for samples treated with the minimum inhibitory concentration (MIC) of ZnO NPs. The results observed in the study provide key insights into the diverse impact of nanomaterials on clinically important microorganisms which demands critical thinking on the antimicrobial use of nanomaterials.
Outcomes in Randomized Controlled Trials on Slowing Myopia: A Systematic Review
Authors: Chen Nan , Zeng Xuanling , Wang Tianlin , Xia Wanying , Yang Xingyue 
Published: August 2023

Abstract
Introduction: This review aims to analyse the application of the measure methods and measure contents of the outcomes reported in studies on slowing myopia, and the associations between outcomes and study characteristics.
Methods: Publications were identified by a search of seven electronic databases including China National Knowledge Infrastructure and PubMed, for relevant terms like myopia and randomized controlled trial from construction to September 15th, 2021. The basic information of studies was extracted, including publishing time, region, intervention duration, sample size, intervention and outcome. Additionally, the measurements of outcomes were explored. The risk of bias of all studies included were assessed.
Results: Altogether, 437 randomized controlled trials were included, including visual acuity (51.95%), refraction (46.91%), eye axial length (42.33%) and response rate (44.85%). Since 360 studies (82.38%) were published in Chinese, the included studies were divided into subgroups according to the study language. The number of research published in Chinese has surged since 2005. The rate of refraction has gradually increased from 27.27% before 2005 to 71.08% in the past 2 years. Half of the studies published in English were published in the past 5 years. The usage frequency of refraction was ≥ 75% in each period and that of eye axial length kept at more than half. In the studies lasting > 6 months, the usage frequencies of refraction and axial length were > 90%. They accounted for 91.30% and 82.61% in the studies using contact lenses, and both 94.12% in the studies using spectacles.
Conclusion: More and more attention is paid in slowing myopia, and the reported outcomes are diverse. Based on the analysis of the outcomes, there is a lack of an agreed-upon standardised set of outcomes in clinical trials for slowing myopia.
Insight into the Binding Interaction Mechanism of the ligand M1069 with Human Serum Albumin and A2A Adenosine Receptor – A Biophysical Approach
Authors: Azees Shajith Ahamed , Manoharan Rupavarshini , Govindan Navaneeth Alanthata , Leon Bernet Shano , Subramani Karthikeyan 
Published: August 2023

Abstract
Adenosine, a nucleotide essential for human energy metabolism, can also increase the development and metastasis of cancer. Through its interaction to G protein-coupled adenosine receptors (GPCRs), adenosine can stimulate the growth and proliferation of cancer cells. Recent research suggests that drug M1069, which is developed as a treatment for alpha-1 antitrypsin deficiency (AATD), a hereditary condition that can cause lung and liver damage, can also be useful in cancer treatment as an antagonist. It prevents adenosine from binding to the protein A2A adenosine receptor on G-coupled receptors. This study examines the fundamentals of the drug M1069 and its interactions with the A2AAR (target) and HSA (transport) proteins. In this investigation, we are endeavoring to determine the electronic characteristics of the M1069 when it interacts with the HSA and A2AAR protein. Molecular Docking simulation is carried out in order to gain an understanding of the mechanism underlying the binding interaction. Molecular dynamics simulations were applied to the optimal docked pose determined from docking investigations. In addition, the optimization of the ligand and single point energy calculations were performed using density functional theory (DFT) before and after docking to gain insight into the intermolecular interaction and investigate the electronic characteristics of the docked molecules.
Association between survivin gene Polymorphism -31G/C and Risk of Lung and Gastrointestinal cancers : A Systematic Review and Meta-Analysis
Authors: Neha Malviya , Anam Khan , Ananyan Sampath , Singh Ahirwar Sonu , Rakesh Kanwar Jagat , Ashwin Kotnis 
Published: August 2023

Abstract

Survivin (BIRC5) is an anti-apoptosis protein overexpressed in most of the cancers and associated with poor clinical outcome. We haveprovided an updated meta-analysis of -31G/C (rs9904341) gene polymorphism which is highly associated with cancer risk. Methodology: A comprehensive literature search in PubMed and Google scholar database was conducted. A total of 10472 cases and 12193 controls from 51 studies were included in this meta-analysis. This study was prospectively registered in PROSPERO andsensitivity analysis, risk of bias analysis and statistical analysis were performed, and pooled odds ratio (ORs) with 95% confidence interval (CIs) was calculated to assess the strength of association. All analyzed were achieved using RevMan 5.4 software and Excel 2013 version. Results: The overall meta-analysis indicates that survivin gene polymorphism − 31G/C is highly associated with overall cancer risk in allelic (C vs G, OR = 1.25,95% CI = 1.15 to 1.37, P < 0.00001), homozygous co-dominant (CC vs GG, OR = 1.53, 95% CI = 1.23 to 1.90, P = 0.0001), heterozygous co-dominant (CC vs CG, OR = 1.34, 95% CI = 1.18 to 1.52, P < 0.00001), dominant model(CC + CG vs GG, OR = 1.29, 95% CI = 1.14 to 1.46, P = < 0.0001) and recessive model (CG + GG vs CC, OR = 0.70, 95% CI = 0.61 to 0.81, P < 0.00001). Stratified analysis revealed that the variant significantly increase the risk in Asian population. For which cancers was the SNP conferring risk, protection and no change , Conclusion:-31G/C polymorphism of BIRC5 gene is associated with the risk of cancer in the Asian population. However, further large scale clinical studies are required to re-evaluate this result in future.
CovMedCare: Confluence of Internet of Things, Blockchain and Machine Learning for Remote Monitoring System of Pandemic Patients
Authors: Krishna Charu , Kumar Divya , Kushwaha Dharmender Singh 
Published: August 2023

Abstract
Pandemics like Covid-19 necessitate the need for continuous remote monitoring of patients. The scarcity of an efficient and secure remote monitoring system for patients led to surge in work pressure for medical staff in hospitals globally. In this paper, we propose a secure and robust decentralized patient monitoring model called CovMedCare for monitoring the Covid-19 in-patients utilizing the confluence the Machine Learning, Internet of Things and Blockchain technologies. In the proposed model, sensor data from WBAN is integrated with previous health records of the patients to predict deteriorating health condition of the patient over a blockchain network. The accuracy of the proposed model is assessed on a dataset with five medical sensor attributes and twelve previous health records attributes. The experimental results exhibit that CovMedCare achieves an accuracy of 99% in identifying the patient whose health condition is deteriorating, which is higher than that of other traditional machine learning models.
Short- and Long-term survival prediction in patients with acute type A aortic dissection undergoing open surgery
Authors: Matniyaz Yusanjan , Luo Yuan-Xi , Jiang Yi , Zhang Ke-Yin , Wang Wen-Zhe , Pan Tuo , Wang Dong-Jin , Xue Yun-Xing 
Published: August 2023

Abstract
Background: Acute Type A aortic dissection (ATAAD) is a life-threatening cardiovascular disease associated with high mortality rates, where surgical intervention remains the primary life-saving treatment. However, the mortality rate for ATAAD operations continues to be alarmingly high. To address this critical issue, our study aimed to assess the correlation between preoperative laboratory examination, clinical imaging data, and postoperative mortality in ATAAD patients. Additionally, we sought to establish a reliable prediction model for evaluating the risk of postoperative death.
Methods: In this study, a total of 384 patients with acute type A aortic dissection (ATAAD) who were admitted to the emergency department for surgical treatment were included. Based on preoperative laboratory examination and clinical imaging data of ATAAD patients, logistic analysis was used to obtain independent risk factors for postoperative in-hospital death. The survival prediction model was based on cox regression analysis and displayed as a nomogram.
Results: Logistic analysis identified several independent risk factors for postoperative in-hospital death, including Marfan syndrome, previous cardiac surgery history, previous renal dialysis history, direct bilirubin, serum phosphorus, D-dimer, white blood cell, multiple aortic ruptures and age. A survival prediction model based on cox regression analysis was established and presented as a nomogram. The model exhibited good discrimination and significantly improved the prediction of death risk in ATAAD patients.
Conclusions: In this study, we developed a novel survival prediction model for acute type A aortic dissection based on preoperative clinical features. The model demonstrated good discriminatory power and improved accuracy in predicting the risk of death in ATAAD patients undergoing open surgery.
Developmental programming of Kupffer cells by maternal obesity causes fatty liver disease in the offspring
Authors: Mass Elvira , Huang Hao , Splichalova Iva , Balzer Nora , Seep Lea , Taveras Eliana Franco , Radwaniak Carolin , Acil Kerim , Mauel Katharina , Blank-Stein Nelli , Makdissi Nikola , Zurkovic Jelena , Kayvanjoo Amir , Wunderling Klaus , Jessen Malin , Yaghmour Mohammed , Ulas Thomas , Grein Stephan , Schultze Joachim , Liu Zhaoyun , Ginhoux Florent , Beyer Marc , Thiele Christoph , Hasenauer Jan , Wachten Dagmar 
Published: August 2023

Abstract

Kupffer cells (KCs) are tissue-resident macrophages which colonize the developing liver early during embryogenesis1. Throughout development and adulthood, KCs have distinct core functions that are essential for liver and organismal homeostasis, such as supporting fetal erythropoiesis as well as postnatal erythrocyte recycling and liver metabolism2. KCs start to acquire their tissue-specific transcriptional signature immediately after colonizing the liver, mature together with the tissue, and adapt to the tissue’s function1,3,4. However, whether perturbations of macrophage core functions during development contribute to or cause disease at postnatal stages is poorly understood. Here, we utilize a maternal obesity model to perturb KC functions during gestation. We show that mice experiencing maternal obesity during gestation develop fatty liver disease that is accompanied by a local inflammatory response. Transcriptional analyses reveal that KCs undergo developmental programming through maternal obesity, which persists in adulthood. The offspring’s KC developmental programming is irreversible and leads to increased lipid uptake in hepatocytes mediated via KCs. The transcriptional programming of KCs and the fatty liver disease phenotype are rescued by genetic depletion of hypoxia-inducible factor alpha (Hif1α) in macrophages during gestation. These results establish developmental perturbation of KC functions as a cause for the development of fatty liver disease in adult life and, thereby, place fetal-derived macrophages as intergenerational messengers within the concept of developmental origins of health and diseases5.
Bayesian Inference on the Burr type-XII Model Parameters Based on Progressive type-II Fuzzy Order Statistics
Authors: Maswadah M. 
Published: August 2023

Abstract

In statistical inference, the experimental results are usually considered precise information. However, these results cannot always be recorded or measured precisely, which is called Fuzzy data, which can be considered an imprecise type of data with a source of uncertainty. This paper presents a Fuzzy Bayesian estimation for Burr type-XII distribution parameters based on progressive type-II fuzzy order statistics. The Bayesian estimators have been derived by Tierney-Kadane and Monte Carlo integration approximations and compared with the exact Bayesian estimators, via Monte Carlo simulations. The simulation results indicated that the exact Bayes results provide better estimators and outperform the other approximation methods. Finally, a numerical example is given to demonstrate the efficiency of the proposed methods.
Magnetic resonance imaging-based machine learning radiomics predicts CCND1 expression level and survival in low-grade gliomas
Authors: Zhao Kun , Zhang Hui , Lin Jianyang , Liu Jianzhi , Xu Shoucheng , Gu Yongbing , Ren Guoqiang , Lu Xinyu , Chen Baomin , Chen Deng , Yan Jun , Ma Jichun , Wei Wenxiang , Wang Yuanwei 
Published: August 2023

Abstract
Low-grade glioma (LGG) is associated with increased mortality owing to the recrudescence and tendency for malignant transformation. Therefore, novel prognostic biomarkers must be identified as the current traditional prognostic biomarkers of glioma, including clinicopathological features and imaging examinations, are unable to meet the clinical demand for precision medicine. Accordingly, we aimed to evaluate the prognostic value of cyclin D1 (CCND1) expression levels and construct radiomic models to predict these levels in patients with LGG. A total of 412 LGG cases from The Cancer Genome Atlas (TCGA) were used for gene-based prognostic analysis. Using magnetic resonance imaging (MRI) images stored in The Cancer Imaging Archive with genomic data from TCGA, 149 cases were selected for radiomics feature extraction and model construction. After feature extraction, the radiomic signature was constructed using logistic regression (LR) and support vector machine (SVM) analyses. Involved in the regulation of the cell cycle and immune response, CCND1 was identified as a differentially expressed prognosis-related gene in tumor and normal samples. Landmark analysis revealed that high expression levels of CCND1 were beneficial for survival (P < 0.05) in advanced LGG. Four optimal radiomics features were selected to construct radiomics models. The performance of LR and SVM achieved areas under the curve of 0.703, 0.705, as well as 0.724 and 0.726 in the training and validation sets, respectively. CCND1 expression levels could affect the prognosis of patients with LGG. MRI-based radiomics can serve as a novel tool for predicting the prognosis.
Faecal microbiota in the short-beaked echidna (Tachyglossus aculeatus) shows stability across gestation
Authors: Buthgamuwa Isini , Fenelon Jane C. , Roser Alice , Meer Haley , Johnston Stephen D. , Dungan Ashley M. 
Published: August 2023

Abstract

Background Indigenous microbial communities (microbiota) play critical roles in health and may be especially important for mother and fetus during pregnancy. Having diverged from Eutherian mammals roughly 184 million years ago, monotremes, such as the short-beaked echidna, have evolved to lay and incubate an egg, which hatches in their pouch where the young feeds. Since both faeces and eggs pass through the cloaca, the faecal microbiota of female echidnas provides an opportunity for vertical transmission of microbes to their offspring as well as maintaining fetus health. Little is known about the composition of the echidna microbiome; hence, this study aims to characterize the gut/faecal microbiome of female short-beaked echidnas and gain a better understanding of the changes that may occur in their microbiome as they go through pregnancy. Results Faecal samples from four female and five male echidnas were obtained from the Currumbin Wildlife Sanctuary in Queensland and sequenced to evaluate bacterial community structure. We identified 25 core bacteria, most of which were present in male and female samples. Genera such asFusobacterium,Bacteroides,Escherichia-ShigellaandLactobacilluswere consistently abundant, regardless of sex or gestation stage, accounting for 58.00% and 56.14% of reads in male and female samples, respectively. The echidna microbiome remained stable across the different gestation stages, though there was a significant difference in microbiota composition between male and female echidnas. Conclusions This study is the first to describe the microbiome composition of short-beaked echidnas across reproductive phases and allows the opportunity for this novel information to be used as a metric of health to aid in the detection of diseases triggered by microbiota dysbiosis.
The extended research for constructing three-dimensional nonlocally related partial differential equation systems
Authors: Wang Huanjin , Zhao Qiulan , Li Xinyue 
Published: August 2023

Abstract
The coordinate-independent analysis (qualitative, numerical, perturbation, etc.) on a given partial differential equation (PDE) may be effectively facilitated if its nonlocally related PDE systems can be constructed. The present research extendes their construction in three-dimensional situations, including the reduced potential system (RPS) based on the divergence-type conservation law (CL) and the inverse potential system (IPS) based on the differential invariant (DI). For the RPS, the breakthrough is to prove that the potential system with the algebraic gauge constraint can further reduce the potential without weakening the solution space. The RPS with a more compact structure not only simplifies the computation of symmetric properties (equivalent transformations, nonlocal symmetries), but also promotes to produce more valuable results (nonlocal CLs and the expansion of the nonlocal CLs based-RPS). For the IPS, the more critical breakthrough is to generalize the previous theorems from two-dimensional to three-dimensional. It consists of nonlocal symmetries’ identification by the IPS, and the IPS’s expansion by the solvable Lie algebra. As the application, this research is demonstrated with a typical three-dimensional PDE with the power law nonlinearity and multiple parameters. Once the parameters are determined, our analysis corresponds to several equations describing turbulence, shock waves, and weakly diffracted waves. Concretely, its RPSs, IPSs, their expansions and associatied symmetric properties are derived. Consequently, these generated systems are nonlocally related to the demonstrated equation, constituting an expanded tree of nonlocally related PDE systems. Moreover, this research can aslo be applied to other three-dimensional PDEs that admit CLs or DIs.
WITHDRAWN: The Anticancer Mechanisms of Exopolysaccharide from Weissella cibaria D-2 on Colorectal Cancer via Apoptosis Induction
Authors: Du Yurong , Liu Lei , Yan Weiliang , Li Yang , Li Yuanzhe , Cui Kang , Yu Pu , Gu Zhuoyu , Zhang WanCun , Feng Jianguo , Li Zhen , Tang Hao , Du Yabing , Zhao Huan 
Published: August 2023

Abstract
Exopolysaccharide (EPS) from Weissella cibaria has been devoted to the study of food industry. However, the anticancer activity of W. cibaria derived EPS has not yet been investigated. In this study, we obtained the EPS from W. cibaria D-2 isolated from the feces of healthy infants and found that D-2-EPS, a homopolysaccharide with sheet structure, could effectively inhibit the proliferation, migration, invasion and induce cell cycle arrest in G0/G1 phase of colorectal cancer (CRC) cells. In HT-29 tumor xenografts, D-2-EPS significantly retarded tumor growth without obvious cytotoxicity to normal organs. Furthermore, we revealed that D-2-EPS promoted the apoptosis of CRC cells by increasing the levels of Fas, FasL and activating Caspase-8/Caspase-3, indicating that D-2-EPS might induce apoptosis through the extrinsic Fas/FasL pathway. Taken together, the D-2-EPS has the potential to be developed as a nutraceutical or drug to prevent and treat colorectal cancer.