bluuebunny/crossref_metadata_2025_split huggingface dataset:
Circulatory physiology and haematopoiesis of Channa punctatus under piscicidal toxicity of Acacia auriculiformis pericarp
Authors: Saha Beauty , Saha Samar K 
Published: May 2023

Abstract
Acacia auriculiformis pericarp preparation (APP) has been recently introduced as a piscicide of choice to substitute Mohua (Bassia latifolia) oil cake (MOC). The present study aims to evaluate its effect on circulatory physiology and haematopoiesis of Channa punctatus to justify its mode of action as a piscicide. Profound alterations in the circulatory physiology of Channa punctatus with oligocythemic hypochromic anaemia and significant mobilization of immature cells from the erythropoietic lineage into circulation are evident under APP exposure. A relationship of hypoxia-induced Epo expression with erythropoietic dynamics has been drawn under LC0 APP exposure. However, at both LC50 and LC100 exposure erythropoietic insufficiency and subsequent erythropenia are recorded. The principal secondary metabolite of APP, saponin is held responsible for membrane destabilization, pore formation, and several topographical alterations of erythrocytes. The exocytosis of haemoglobin is confirmed quantitatively and qualitatively. Retention of plasma Hb among the treated fish is substantiated through direct and indirect bilirubin content of blood and the physiological relevance of such condition has been interpreted. Leucocytosis and more specifically neutrocytosis at the initial exposure period observed as an immediate defensive mechanism which is ultimately broken down with exposure concentration and duration. The treated fish develops thrombocytosis as a haemostatic mechanism to check haemorrhage, but the circulatory deficiency ultimately leads to death of the fish.
Novel EEG metric correlates with intracranial pressure in an animal model
Authors: Pose Fernando , Ciarrocchi Nicolas , Videla Carlos , Garcia Maria del Carmen , Goldenberg Fernando D. , Issa Naoum P. , Lazaridis Christos , Mansour Ali , Redelico Francisco O. 
Published: May 2023

Abstract
Introduction
Intracranial Pressure (ICP) can be continuously and reliably measured using invasive monitoring through an external ventricular catheter or an intraparenchymal probe. We explore Electroencephelograhy (EEG) to identify a reliable real time, non-invasive ICP correlate.
Methods
Utilizing a previously described porcine model of intracranial hypertension, we examine the cross correlation between ICP time series and the slope of the EEG power spectral density as described by Φ. We calculate Φ= tan−1(slope of PSD) and normalized it by π where slope is that of the power-law fit (log frequency versus log power) to the power spectral density of the EEG signal. Additionally, we explore the relationship between the Φ time series and cerebral perfusion pressure (CPP). A total of 11 intracranial hypertension episodes across three different animals are studied.
Results
Mean correlation between Φ-angle and ICP was -0.85 (0.15); mean correlation with CPP was 0.92 (0.02). Significant correlation occurred at zero lag. In the absence of intracranial hypertension, the absolute value of the Φ-angle was greater than 0.9 (mean 0.936 radians). However, during extreme intracranial hypertension causing cerebral circulatory arrest, the Φ-angle is on average below 0.9 radians (mean 0.855 radians).
Conclusion
EEG Φ-angle is a promising real-time noninvasive measure of ICP/cerebral perfusion using surface electroencephalography. While intra-species variation is presumably minimal, validation in human subjects is needed.
Electrocardiographic Findings in Genotype-Positive and Non-Sarcomeric Children with Definite Hypertrophic Cardiomyopathy and Subclinical Variant Carriers.
Authors: Anvekar Priyanka , Stephens Paul , Caldero-Anyosa Renzo JC. , Kauffman Hunter , Burstein Danielle S. , Ritter Alyssa L. , Ahrens-Nicklas Rebecca C. , Vetter Victoria L. , Banerjee Anirban 
Published: May 2023

Abstract
Background
In children with hypertrophic cardiomyopathy (HCM), the genotype-phenotype association of abnormal electrocardiographic (ECG) features in the backdrop of gene positivity have not been well described. This study aimed to describe abnormal ECG findings in children with HCM harboring genetic variants and determine the association with Major Adverse Cardiac Events (MACE).
Methods
We retrospectively analyzed 81 variants positive, phenotype positive (V+P+), 66 variant positive, phenotype negative (V+P-), and 85 non-sarcomeric subjects. We analyzed ECG findings and clinical outcomes in these three groups.
Results
Combined ST and T wave changes and pathologic Q waves were the most common abnormalities in variant and non-sarcomeric subjects. The V+P+ group showed higher occurrence of ST segment changes and T wave abnormalities compared to V+P- group. Independent predictors of MACE included ST segment changes, (OR=3.54, CI= 1.20-10.47, p=0.022). T wave changes alone did not predict outcome (OR=2.13, CI= 0.75-6.07, p=0.157), but combined repolarization abnormalities (ST+T changes) were strong predictors of MACE (OR= 5.84, CI=1.43-23.7, p=0.014) than ST segment changes alone. Maximal wall z-score by echocardiography was a predictor of MACE (OR=1.21, CI=1.07-1.37, p=0.002). Despite significant myocardial hypertrophy (z score>4.7), voltage criteria for LVH were much less predictive. In the non-sarcomeric group, RVH was significantly associated with MACE (OR=3.85, CI= 1.08-13.73, p= 0.038).
Conclusion
Abnormal ECG findings described in subjects with known genetic status and myocardial hypertrophy, may add incremental value to the diagnosis and surveillance of disease progression in children with HCM. Select ECG findings, particularly repolarization abnormalities, may serve as predictors of MACE.
Handling qualitative conditional preferencequeries in SPARQL: Possibilistic logic approach
Authors: TOUAZI Faycal , BOUSTIL Amel 
Published: May 2023

Abstract

Because of the rise in data volume of knowledge bases that are being published as a result of Open Data initiatives, new approaches are required to assist users in locating the items that most closely matches their preference criteria. In many approaches, the user is called to supply quantitative weights that may not be known in advance to manage the ranking of results.Contrary to the quantitative technique, preference criteria are sometimes more intuitive and can be conveyed more readily under the qualitative approach. We are interested in this paper to the problem of evaluating SPARQL qualitative preference queries over user preferences in SPARQL. Many approaches address this problem based on different frameworks as CP-net, skyline, fuzzy set and top-k. This article outlines a novel approach for dealing with SPARQL preference queries, where preferences are represented through symbolic weights using the possibilistic logic framework. It is possible to manage symbolic weights without using numerical values where a partial ordering is used instead. This approach is compared to numerous other approaches, including those based on skylines, fuzzy sets, and CP-nets.
Prospective analysis of pre and postoperative laboratory parameters associated with thrombosis in patients with ovarian cancer
Authors: Shim Hyoeun , Kim Ji Hyun , Lee Dong-Eun , Kwak Mi Hyang , Park Sang Yoon , Lim Myong Cheol , Kong Sun-Young 
Published: May 2023

Abstract
Background Patients with ovarian cancer have a high risk of developing thrombosis. We aimed to investigate laboratory parameters associated with thrombosis including deep vein thrombosis (DVT) and pulmonary thromboembolism in patients treated for ovarian cancer.Methods We collected pre and post operative blood samples from 133 patients undergoing surgery for ovarian cancer at National Cancer Center, Korea between December 2021 and August 2022. The measured parameters were white blood cell (WBC) count, hemoglobin, platelets, monocytes, serum glucose, CA125, D-dimer, fibrinogen, prothrombin time (PT), activated partial thromboplastin time (aPTT), fibrinogen degradation products (FDP), antithrombin III, protein C, protein S, plasminogen, plasminogen activator inhibitor 1 (PAI-1), homocysteine, N-terminal pro-brain natriuretic peptide (NT-proBNP), interleukin 6 (IL-6), thrombopoietin (TPO), soluble P-selectin and granulocyte stimulating factor (G-CSF). Body mass index (BMI) of patients were collected. Differences between patients who developed thrombosis and those without were compared with Wilcoxon rank-sum test and we analyzed the continuous variables using logistic regression.Results Twenty-one (15.8%) patients developed thrombosis ranging from 6 to 146 days (median 15 days) after surgery. FIGO stage, age and BMI were not significantly different among the two groups. Pre operative values of homocysteine (p = 0.033) and IL-6 (p = 0.043) were significantly increased and post operative aPTT (p = 0.022) was prolonged and plasminogen (p = 0.041) was decreased in patients with thrombosis.Conclusions Pre operative homocysteine, IL-6 and post operative aPTT, plasminogen were associated with thrombosis in ovarian cancer patients.
Security Establishment Using Deep Convolutional Network Model in Cyber-physical Systems
Authors: Meganathan R. , B Manjunath , Anand R. , Murugesh V. , Jaganathan Subash Chandra Bose , Suriyan Kannadasan 
Published: May 2023

Abstract

This study develops an active security control strategy for cyber-physical systems (CPSs) that are subject to attacks known as denial-of-service (DoS), which can target both channels from the controller to the actuator and from the controller to the sensor. Due to attack cost restrictions, the linked channels are subject to a limit on the number of continuous DoS attacks. A proactive security control method is then developed to combat two-channel DoS attacks, depending on a method for identifying IoT intrusions. Using the CICIDS dataset for attack detection, we examined the effectiveness of the Deep Convolutional Network Model (DCNM), a suggested deep learning model. The addressed CPS can be asymptotically stable against DoS assaults under the security controller's active security control technique without sacrificing control performance. Recent tests and simulations show how effective the security control strategy is active. The proposed model gives better trade-off compared to existing approaches like Deep Belief Networks (DBN), Recurrent Neural Networks (RNN), Support Vector Machines (SVM), Supervised Neural Networks (SNN) and Feed Forward Neural Networks (FNN).
Towards automated dermatology triage: deep learning and knowledge-driven approaches
Authors: Wang Minhong , Kloczko Ewa , Altayeb Alla , Farrugia Michael , Gupta Girish , Wu Honghan , Hirani Nik 
Published: May 2023

Abstract
Background
The current triage process in the National Health Service (NHS) requires secondary care clinicians to manually read every General Practitioner’s (GP) referral letter, which makes the process time-consuming with associated high costs. Artificial Intelligence (AI) algorithms can be adopted to accelerate this process and reduce the required resources.
Objectives
To design AI models that can automatically stratify GP referrals to routine and non-routine categories, and to evaluate different AI algorithms against the current manual triage process.
Methods
We developed and evaluated multiple AI models to triage dermatology referrals into binary outcomes, i.e., routine or non-routine. The models ranged from a totally data-driven (deep learning) approach to different levels of knowledge-enriched approaches: 1) a transfer learning approach using a pre-trained large language model; 2) a deep learning model using Long Short-Term Memory architecture, enriched with key concepts from referral guidelines; and 3) a knowledge-driven model utilising the semantics of key concepts from clinical guidelines and customised clinicians’ dictionaries. Random oversampling and data augmentation were used for dealing with highly imbalanced triage classes. All referrals were individually triaged by two dermatologists and then compared against the results generated from AI-assisted triage models. Performances were evaluated using Precision-Recall Area Under Curve (PR-AUC) and Receiver Operating Characteristic Area Under Curve (ROC-AUC).
Results
268 GP referrals to adult dermatology services were included. The knowledge-driven approach achieved the best performance (micro average PR-AUC of 0.907±0.006, ROC-AUC of 0.720 ± 0.010) compared to the baseline end-to-end deep learning model (micro average PR-AUC of 0.823±0.038, ROC-AUC of 0.616 ± 0.096) and the Long Short-Term Memory model (0.867±0.013, 0.600 ± 0.071). Imbalance preprocessing methods improved the model performance in some cases but not to a significant level. Combining all types of domain knowledge in AI models outperformed any subsets of these knowledge inputs.
Conclusions
The knowledge-enhanced AI approach showed promising results in achieving triage outcomes comparable to manual outcomes despite the limited data input from the referrals. AI-assisted triage has the potential to make the triaging process less time-consuming and more cost-effective, whilst retaining accuracy.
A Novel Surgical Strategy For Correcting Severe Angular Kyphosis Due To Pott’s Disease: Three Column Osteotomy In Non-lesioned Areas
Authors: Zhao Deng , Wang Fei , Hu Zhengjun , Zhong Rui , Huang Huaqiang , Zhang Zhong , Jiang Dengxu , Liang Yan , Liang Yijian 
Published: May 2023

Abstract
Severe sharp angular kyphosis due to Pott’s disease usually need surgical correction. Three column osteotomy performed in lesion area as well as apex area has been demonstrated useful to correct angular kyphosis. But the residual kyphosis may conspicuous and there is usually high rate of perioperative risk. To improve the correction effect and avoid high rate of risk, we designed a novel strategy that osteotomy in the non-lesioned vertebrae to correct severe angular kyphosis due to Pott’s disease.We retrospectively reviewed 16 patients who underwent the new surgical strategy that osteotomy in non-lesioned vertebra instead of lesioned areas in our hospital from 2016 to 2018. Radiographic parameters including angle of kyphosis and sagittal vertical axis (SVA) were recorded respectively at admission and final follow-up. Neurological improvement was measured according to the American Spine Injury Association (ASIA) classification. Operative time, blood loss, perioperative complications were also recorded. There were 6 male and 10 female patients. Their mean age was 30.7±11.41 years. The duration of follow-up ranged from 24 to 42 months. The mean operative time and blood loss were 492±127.3min and 1791±788.8 ml, respectively. Kyphosis angle was corrected from 97.6±14.6° to 28.8±18.70°. In two cases with lumbar lesions (L1-L5 and L2-S1，respectively), the lumbar lordosis was restored. The mean SVA was 6.7±3.58cm at admission, and 3.3±1.57cm at final follow-up. Neurological function improved in 6 cases, while it remained the same as before surgery in other 10 patients. The rate of complications including wound infection (1 case) and rod fracture (1 case at the 12 months after surgery) was approximately 11.8%. The new surgical strategy was effective and safe to correct severe angular kyphosis due to Pott’s disease. However, the surgical team should be experienced.
Plasma treated AR-glass fibres in experimental reinforced composites with three silanes: a study on mechanical properties
Authors: Yon Madeline J. Y. , Matinlinna Jukka P. , Tsoi James K. H. , Vallittu Pekka K. , Lassila Lippo V. J. 
Published: May 2023

Abstract
Purpose To compare and contrast mechanical properties of experimental alkali-resistant (AR) glass fibre-reinforced composites (FRCs) silanised with one of three functional trialkoxy silanes: 3-methacryloxypropyltrimethoxysilane (3-MPS), 8-methacryloxypropyltrimethoxysilane (8-MOS) and 3-acryloxypropyltrimethoxysilane (3-APS). The experimental AR-FRCs were silanised with or without plasma pretreatment.
Materials and methods Continuous unidirectional AR-glass fibres (ARcoteX® 5326 2400tex, Owen Corning) were cleaned ultrasonically, treated either with or without cold plasma (Piezobrush® PZ2, Relyon Plasma, Germany), then silanised by immersion for 10 min in activated, hydrolysed silane solution containing either 3-MPS, 8-MOS or 3-APS. The fibre bundles were next air-dried (24 h), and dried in vacuum oven (80 °C, 5 kPa, 2 h), producing 6 types of silanised AR-glass fibres.
Next, silanised AR-glass fibres were laminated with a resin matrix, bis-GMA:TEGDMA at 60:40 wt%, CQ at 0.7 wt%, DMAEMA at 0.7 wt%) for 10 min and paired randomly in rovings of two in stainless steel moulds (2 mm × 2 mm × 25 mm) to prepare an AR-FRC beam specimen (n = 16). All specimens were light-cured from the top and bottom directions for 60 s (Elipar S10, 3M ESPE). Half of the samples (n = 8) underwent accelerated artificial ageing by immersion in boiling water (100°C, 16 h). Finally, 12 experimental AR-FRC groups were produced.
All specimens were subjected to the three-point bending test with the upper surface (facing curing light) towards the cross-head. After testing, fibres, silanised and non-silanised, were inspected under scanning electron microscopy (SU1510, Hitachi, Tokyo, Japan).
Statistical analysis was performed with three-way ANOVA and the Tukey post hoc test at α = 0.05.
Results The flexural modulus, flexural strength and fracture work of the materials were significantly affected by silane type (p < 0.05) and artificial ageing (p < 0.001). Plasma treatment on AR-glass fibres significantly reduces flexural modulus of FRC (p<0.001) and slows the plasticising effect of artificial ageing on FRC.
Conclusion Long chain silanes impart higher flexural strength and lower flexural modulus to AR-FRCs. While artificial ageing halves flexural strength and plasticises them, plasma surface pre-treatment of AR-glass fibres before silanisation reduces the plasticising effect.
Different geographical environment can affect the fatty acid compositions of the Red Swamp Crayfish (Procambarus clarkii) through the intestinal flora
Authors: Chen Ming , Su Shengyan , Zhang Chengfeng , zhu Jian , Feng Wenrong , Chen Huangen , Jiang Jingjing , Lu Zeyu , Liu Wenting , Gan Jingchang 
Published: May 2023

Abstract
Intestinal flora plays an important role in promoting digestion, metabolism and immunity. It is an important basis for assessing the health and nutritional content of Procambarus clarkii. Fatty acids are also important indicators for assessing the P.clarkii. They are strongly related to environmental and genetic factors. However, whether environmental factors or genetic factors have a greater impact on the health and nutrition of crayfish is currently a hot topic, and it is unclear whether there is a link between the intestinal flora and the distribution of fatty acid (FA) compositions of red swamp crayfish.This paper focuses on the influence of different environments on the fatty acids in muscles of crayfish and the possible existence between gut microbiota and fatty acids. Therefore, we compared and clustered fatty acid compositions of crayfish populations in five different geographical locations to determine the relationship between geographical location and fatty acid compositions. We also characterized the gut microbial communities of these crayfishes using 16S rRNA high-throughput gene sequencing. We found that there were significant differences in FA compositions of crayfish populations in different geographical locations. Similar trends were observed in the gut microbiome, which also varied significantly according to geographic phenotypes. In addition, the relationship between fatty acid compositions and intestinal microbes was revealed by alpha diversity analysis and cluster analysis. However, further studies of the interactions between the P.clarkii gut microbiome and biochemical composition are needed, which will ultimately reveal the complexity of microbial ecosystems with potential applications in aquaculture and species conservation.
Metal-free graphitic carbon nitride/black phosphorus quantum dots heterojunction photocatalyst for the removal of ARGs contamination
Authors: Zhang Xinyuan , Xu Xuan , Li Chenyu , Dai Lin , Hao Zhenxin , Yu Jie , He Haodong , Si Chuanling , Shen Zhiqiang , Qiu Zhigang , Wang Jingfeng 
Published: May 2023

Abstract
Antibiotic resistant bacteria (ARB) and genes (ARGs) have become hot topics in the field of water purification. In this paper, graphite carbon nitride (g-C3N4) and black phosphorus quantum dots (BPQDs) were used as raw materials to fabricate a non-metallic heterojunction composite photocatalyst (H-g-C3N4/BPQDs) by hydrothermal impregnation, high-temperature calcination, and ice-assisted ultrasound. The H-g-C3N4/BPQDs was used to remove antibiotics and biological pollution from water under visible light irradiation. Based on the porous structure and high specific surface area of H-g-C3N4, the the obtained type II heterojunction structure promoted the absorption of visible light, accelerated the interfacial charge transfer, and inhibited the recombination of photogenerated electron-hole pairs. Under visible light irradiation, the degrading efficiency of TC by H-g-C3N4 /BPQDs exceeded 91% in 30 min, and E. coli K12 M1655 can be completely inactivated in 4 h. In addition, the maximum inactivation rate of H-g-C3N4 /BPQDs for E. coli HB101(RP4) was 99.99% in 4 h, and the degradation efficiency of RP4 was more than 85%. This study provides not only a new idea for the design of green g-C3N4-based non-metallic heterojunction photocatalysts but also a broad prospect for the application of g-C3N4-based photocatalysts for the removal of ARGs in water treatment.
Leveraging a diverse cell-death patterns-based signature to predict the prognosis of low- grade gliomas
Authors: Yang Wenyong , Lei Qingqiang , Pu Chunlan , Guo Yuanbiao , Lin Liangbin 
Published: May 2023

AbstractBackgroundLow-grade glioma (LGG) is heterogeneous at biological and transcriptomic levels, and it is still controversial for the definition and typing of LGG. Therefore, there is an urgent need for specific and practical molecular signatures for accurate diagnosis, individualized therapy, and prognostic evaluation of LGG. Cell death is essential for maintaining homeostasis, developing and preventing hyperproliferative malignancies.MethodsBased on diverse programmed cell death (PCD) related genes and prognostic characteristics of LGG, this study constructed a model to explore the mechanism and treatment strategies for LGG cell metastasis and invasion. We screened 1161 genes associated with PCD and divided 512 LGG samples into C1 and C2 subtypes by consistent cluster analysis. We analyzed the two subtypes' differentially expressed genes (DEGs) and performed functional enrichment analysis. Using R packages such as ESTIMATE, CIBERSOTR, and MCPcounter, we assessed immune cell scores for both subtypes.ResultsCompared with C1, the C2 subtype has a poor prognosis and a higher immune score, and patients in the C2 subtype are more strongly associated with tumor progression. The C2 subtype generally having higher immune scores than the C1 subtype. LASSO and COX regression analysis screened four characteristic genes (CLU,FHL3,GIMAP2, andHVCN1). Using data sets from different platforms to validate the four-gene feature, we found that the expression and prognostic correlation of the four-gene feature had a high degree of stability, showing stable predictive effects.ConclusionThe four-gene feature constructed based on PCD-related genes provides valuable information for further study of the pathogenesis and clinical treatment of LGG.