bluuebunny/crossref_metadata_2025_split huggingface dataset:
Plaque Recognition and Classification Algorithm for CCTA Image Sequences with Frame-Gradient of Gaussian Variance
Authors: Chen Datong , Xu Dongbin , Liang Minghui , Lin Yueming , Huang Chengcheng , Wu Shuang 
Published: May 2024

Abstract

Coronary computed tomography angiography (CCTA) is the most commonly used image acquisition method for the diagnosis of cardiovascular disease (CVD) currently. While plaque recognition and classification based on CCTA image sequences are the most common diagnostic methods in clinical practice. This paper proposes a plaque detection and recognition algorithm based on CCTA image sequences, which using frame-gradient of Gaussian variance with MIMICS and MATLAB software. This algorithm is different from the traditional algorithms based on single frame image processing and recognition. It innovatively uses the variance gradient between multiple frames as a plaque detection method, and smooth the variance gradient noise with one-dimensional Gaussian filter. For further classifying plaques, we perform threshold detection with multi- feature value including maximum and minimum, and optimize the threshold for detection, after that we remove noise by continuous point filter(CPF). Finally, the detection formula is optimized, and the result of multi vessel detection is displayed with amplitude overlay chart(AOC). By verifying 80 CCTA image sequences, the experimental results show that the total accuracy rate up to 83.75%, which indicate the high application value.
BAX and DDB2 as biomarkers for acute radiation exposure with in the first week after irradiation in ex-vivo human and nonhuman primate model
Authors: KANAGARAJ KARTHIK , Phillipi Michelle , OBER ELIZABETH , SHURYAK IGOR , KLEIMAN NORMAN , OLSON JOHN , SCHAAF GEORGE , CLINE J.MARK , TURNER HELEN 
Published: May 2024

Abstract

There are currently no available FDA-cleared biodosimetry tools for rapid and accurate assessment of radiation absorbed dose following a radiation/nuclear incident. The objective of this work is to support analytical testing of our ELISA-based bioassay system for biodosimetry. The prediction accuracy of the bioassay for exposure classification and dose reconstruction was determined by combining BAX and DDB2 protein expression levels and cell counts/viability in adult human and non-human primate (NHP; Rhesus macaques) leukocytes, irradiated ex vivo with 0 to 5 Gy X rays using machine learning methods. The bioassay showed a 97.92% and 96.15% accuracy in classifying the human and NHP in-vitro samples up to 48 h after exposure, respectively and an adequate correlation between reconstructed and actual dose in the human samples (R2 = 0.79, RMSE = 0.80 Gy, and MAE = 0.63 Gy) and NHP (R2 = 0.80, RMSE = 0.78 Gy, and MAE = 0.61 Gy). Biomarker measurements in vivo from four NHPs exposed to a single 2.5 Gy total body dose showed a persistent upregulation in blood samples collected on days 2 and 5 after irradiation. The data here show that using a combined approach of targeted protein analysis can increase bioassay sensitivity and provide a more accurate dose prediction.
High Frequency Variability Index in predicting postoperative analgesia in patients undergoing video/robotic-assisted thoracoscopic surgery under a combination of general anesthesia and peripheral nerve block: a prospective, observational study
Authors: YOSHIDA Keisuke , Hasegawa Takayuki , Hakozaki Takahiro , Yakushiji Tatsumi , ISEKI Yuzo , ITAKURA Yuya , Obara Shinju , Inoue Satoki 
Published: May 2024

Abstract

Purpose: The High Frequency Variability Index (HFVI) is purported to assess the balance between nociception and analgesia in patients under general anesthesia. This prospective observational study investigated whether intraoperative HFVI correlates with postoperative pain in patients performed with nerve block under general anesthesia in video/robotic-assisted thoracoscopic surgery (VATS/RATS).
Methods: We investigated whether maximum postoperative pain at rest and postoperative morphine consumption are associated with HFVI just before extubation, mean HFVI during anesthesia, the difference in HFVI between before and 5 min after the start of surgery, and the difference in HFVI between before and 5 min after the nerve block.
Results: Data obtained from 48 patients were analyzed. We found no significant association between HFVI just before extubation and postoperative Numerical Rating Scale (NRS) score. Receiver operating characteristic curve analysis revealed that moderate (NRS > 3) or severe (NRS > 7) postoperative pain could not be predicted by HFVI just before extubation. In addition, there were no associations between postoperative morphine consumption and HFVI at any time points.
Conclusions: The present study demonstrated that it is difficult to predict the degree of postoperative pain in patients undergoing VATS/RATS under general anesthesia combined with peripheral nerve block, by using HFVI obtained at multiple time points during general anesthesia.
Effect of clove essential oil nanoemulsion on the properties of modified potato starch edible film and its effect as an edible coating on the shelf life of sponge cake
Authors: Pirsa Sajad , Mohtarami Forogh , Mokhtari Fatemeh , Sharifi Akram 
Published: May 2024

Abstract

In this study, clove essential oil (CEs) nanoemulsion was prepared and was used to modify the structure of the film based on modified potato starch (MPS). According to the results of the CEs nanoemulsion tests, the nanoemulsion had a homogeneous and uniform distribution. The encapsulation efficiency of CEs was 80%. Physicochemical properties (water vapor permeability (WVP), solubility and color) and structural properties (XRD and SEM) of edible films were studied. Investigations showed that increasing the percentage of nanoemulsion in the edible film decreased the WVP and increased the elasticity of the film. Edible film containing 3% CEs nanoemulsion was chosen as the optimal sample in terms of physical and mechanical properties. In the last step, edible film solution containing 3% of CEs nanoemulsion was used as sponge cake coating. The edible coating containing 3% CEs nanoemulsion kept the moisture of the sponge cake during storage, which reduced the hardness process and kept the freshness of the cake during storage. Also, this type of coating protected the spoilage of the cake against microorganisms. In the sensory evaluation test, the overall acceptance score of the sample coated with film containing nanoemulsion was acceptable and had no significant difference with the uncoated sample (p < 0.05).
Analyzing the Trend of Government Support for Cloud Computing Usage in E-Government Architecture
Authors: Younus Muhammad , Purnomo Eko Priyo , Mumtaz Fathiya , Khairunnisa Tiara 
Published: May 2024

Abstract

The revolution in improving services to the community carried out by the current government is genuine. It is not easy for government organizations, especially local governments, to directly implement e-government services in full. One solution that is considered appropriate and can solve these problems is the application of cloud computing to support e-government services in local governments. The advantage of cloud computing for e-government is that it can increase security. In contrast, cloud-based storage can be the best choice because data stored in cloud computing is guaranteed security and various regulations and standards of information security practices. We propose a systematic literature review approach to analyze trends in studies on cloud computing of e-government. This research is a type of descriptive qualitative research using a bibliometric approach. To assess the trend of cloud computing in e-government, we use CiteSpace's latest bibliometric software to achieve a comprehensive knowledge overview of cloud computing in e-government. The Findings of this paper reveal a dynamic scenario influenced by advancing technological progress and administrative priorities. Across the globe, governments are progressively acknowledging the capacity of cloud computing to improve the effectiveness, accessibility, and scalability of e-government services. Overall, challenges persist, spanning from concerns regarding data security and privacy, but it also signifies a strategic transition towards harnessing digital technologies to provide more agile, citizen-focused public services.
Patient-Initiated Multidisciplinary Teams: Addressing Complex Care Challenges and Enhancing Daily Life – A Qualitative Study
Authors: Aagaard Mikkel , Møller Trine Boje , Pedersen Steen Bønløkke , Kamronn Terese Matthesen , Pedersen Charlotte Gjørup 
Published: May 2024

Abstract

Background
Patients with multimorbidity often encounter complex care needs. Steno Diabetes Center Aarhus introduced a novel approach: enabling patients to initiate Multidisciplinary Team (MDT) conferences with specialists. This study explores daily challenges in complex care and compares them between MDT initiators and non-initiators.
Methods
Qualitative interviews were conducted with 14 MDT initiators and 28 non-initiators between 2022 and 2023. Out of 4189 patients from the diabetes clinic, invitations were extended to initiate the intervention. The research methodology employed Interpretive Description Methodology, with Aaron Antonovsky's Sense of Coherence theory as the theoretical lens.
Results
Few patients initiated the MDT, with most non-initiators considering it irrelevant. MDT initiators expressed greater concerns about polypharmacy and experienced more pronounced symptoms of fatigue, physical pain, and psychological distress. However, no significant differences were found in physical limitations and perceived well-being between the two groups. Both faced challenges managing chronic illnesses and uncoordinated schedules.
Conclusions
Significant differences exist between MDT initiators and non-initiators, with initiators demonstrating heightened awareness of daily care complexities. This suggests promising results for patients with complex care needs to engage with a multidisciplinary team, discuss a coordinated care plan, and improve self-management. Addressing low uptake requires systematic approaches to identify patients needing additional support. Further research is essential to accurately target those most likely to benefit from such interventions.
The association between physical activity and cognitive function in women with high parity: the chain-mediating effects of nutritional status and depression
Authors: Chen Xiaotong , Wei Kai , Peng Shanshan , Liu Na , He Leqi , Wu Biying , Shi Meifang , lin yong 
Published: May 2024

Abstract

Background
It has been reported that the cognitive responses to physical activity (PA) in postmenopausal women vary by parity status, and women with higher parity show a significant association between PA and cognitive function. However, the potential pathways mediating the relationship between PA and cognitive function in women with higher parity remain unclear. The objective of this study was to examine this association in Chinese cohort and further investigate the mediating pathways.
Methods
A total of 2296 postmenopausal women were enrolled from the Baoshan District, from April to December 2020. All participant details were collected by interviewer-administered questionnaires, including personal information, medical history, lifestyle body mass index (BMI), cognitive function, nutritional status, and. In this cross-sectional study, generalized linear regression models and the chain-mediation analysis were used to examine the relationship between PA and cognitive function and the mediating pathways.
Results
There was a significant relationship between PA and cognitive function in the high-parity group (≥ three births). In the fully adjusted generalized linear regression model, PA was significantly associated with cognitive function [β: 0.795, 95% confidence interval (CI): 0.251–1.340, P < 0.05]. The chain-mediation analysis showed that depression and nutritional status were two significant mediators, contributing 37.96% of the indirect effect of the overall effect.
Conclusions
Our findings suggest that PA is beneficial for women at a higher risk of cognitive decline, especially those with more than two births, and these benefits are mediated by depression and nutritional status.
Molecular &amp; Morphological Identification of Entomopathogenic Fungus Purpureocillium lilacinum Isolated From Soil, Balakot Tehsil, Khaber Pakhtunkhwa, Pakistan
Authors: Sial Muhammad Amir 
Published: May 2024

Abstract

Purpureocillium lilacinum plays a crucial role as a natural biological control agent and serves as a valuable source for fungicides used in managing pests across various insect orders worldwide. The primary aim of this research was to isolate and identify P. lilacinum fungi from the soil of different forests and parks in the Balakot Tehsile. A total of 30 soil samples were collected, and fungal isolation was performed via the soil dilution technique. The isolated colonies were identified by the morphological characteristics of the colonies and conidia at the micro- and macro-levels by using scanning electron microscopy and also at the molecule-level standard molecular techniques, including nucleic acid extraction, ITS region ribosomal DNA amplification, and DNA sequence analysis. The fungal species isolated from the Balakot soil had 98.84–99.07% similarity with the related fungi recorded in GenBank, where they were deposited from different countries. This is the first effort to isolate P. lilaacinum from soil in Pakistan. In the future, it may have great economic value as a biocontrol agent in industry due to its entomopathogenic properties.
Advancements in Anomaly Detection: A Review of Machine Learning Applications in Cyber-Physical System Networks
Authors: Ahmed Asma 
Published: May 2024

Abstract

In the practical world, Cyber-Physical Systems have integrated physical systems and software management in the cyber-world, with networks responsible for information interchange. CPSs are key technologies for various industrial domains, including intelligent medical systems, transport systems, and smart grids. The advancements in cybersecurity have surpassed the rapid growth of CPS, with new security challenges and threat models that lack an integrated and cohesive framework. The review methodology includes the search strategy along with the inclusion and exclusion criteria of fifteen studies conducted in the past ten years. The studies specific to the relevant topic have been added, while the others have been excluded. According to the results, Machine Learning (ML) algorithms and systems can synthesize data. It is employed in cyber-physical security to alleviate concerns regarding the safety and reliability of the findings. ML offers a solution to complex problems, enhancing computer-human interaction and enabling problem-solving in areas where custom-built algorithms are impractical. A comprehensive overview of the application of ML across various domains, such as smart grids, smart vehicles, healthcare systems, and environmental monitoring, has been included. However, a few challenges are associated with implementing ML techniques in CPS networks, including feature selection complexity, model performance, deployment challenges, algorithm biases, model mismatches, and the need to foster a robust safety culture. Overall, integrating ML techniques with CPS networks holds promise for enhancing system safety, reliability, and security but requires ongoing refinement and adaptation to address existing limitations and emerging threats.
Targeting the JAK1 /STAT3 Signaling Pathway: Entinostat as a Promising Treatment for Nasopharyngeal Carcinoma
Authors: Li CaiHong , Shao Jingjing , Zeng Jincheng , Wu Dongfang , Shao Zheng , Ding Hang 
Published: May 2024

Abstract

Background
In various cancer types, entinostat (MS275) inhibits histone deacetylase (HDAC) selectively and exhibits anti-tumor activity. Our study aims to investigate the effects of MS-275 on nasopharyngeal carcinoma (NPC) cells.
Methods
CNE-2 and HONE-1 cell lines were used to carry out the experiments. CCK-8, clone formation assay, DAPI staining, mitochondrial membrane potential (MMP), flow cytometry, wound healing, transwell assay and western blot analyses were used to assess MS-275's effects on NPC cells.
Results
MS-275 inhibited NPC cells from proliferating in a dose-and time-dependent manner. The G2 phase DNA proportion obviously increased with the MS-275 concentration increase (P < 0.05). MS-275 can induce apoptosis of nasopharyngeal carcinoma cells and then cause the decrease of mitochondrial membrane potential. In addition to inhibiting NPC invasion, MS-275 can also suppress cell migration. With increasing drug concentration, the phosphorylation of JAK1 and STAT3 was significantly prevented, while their expression remained unchanged. This is consistent with the immunofluorescence and confocal laser-scanning microscopy result. The metastasis-relevant MMP-2, Snail, anti-apoptotic protein Bcl-xL and Bcl-2 were all downregulated, while the metastasis-relevant E-cadherin, pro-apoptotic protein Bax and cyclin dependent kinase inhibitors p27 and p21 were significantly increased.
Conclusion
The present data demonstrates that MS-275 has the ability to induce apoptosis and suppress NPC proliferation and migration by affecting the JAK1/STAT3 signaling pathway. Therefore, MS-275 may present as a promising therapeutic agent for intractable NPC.
SFRP4 promotes autophagy and blunts FSH responsiveness through inhibition of AKT signaling in ovarian granulosa cells
Authors: Bérubé Michael , Abedini Atefeh , Lapointe Evelyne , Gusscott Samuel , Brind’Amour Julie , Zamberlam Gustavo , Boerboom Derek 
Published: May 2024

Abstract

Background
Secreted frizzled-related proteins (SFRPs) comprise a family of WNT signaling antagonists whose roles in the ovary are poorly understood. Sfrp4-null mice were previously found to be hyperfertile due to an enhanced granulosa cell response to gonadotropins, leading to decreased antral follicle atresia and enhanced ovulation rates. The present study aimed to elucidate the mechanisms whereby Sfrp4 antagonizes FSH action.
Methods
Primary cultures of granulosa cells from wild-type mice were treated with FSH and/or SFRP4, and effects of treatment on gene expression were evaluated by RT-qPCR and RNAseq. Bioinformatic analyses were conducted to analyse the effects of SFRP4 on the transcriptome, and compare them to those of FSH or a constitutively active mutant of FOXO1. Additional granulosa cell cultures from wild-type or Sfrp4-null mice, some pretreated with pharmacologic inhibitors of specific signaling effectors, were used to examine the effects of FSH and/or SFRP4 on signaling pathways, autophagy and apoptosis by western blotting and TUNEL.
Results
Treatment of cultured granulosa cells with recombinant SFRP4 was found to decrease basal and FSH-stimulated mRNA levels of FSH target genes. Unexpectedly, this effect was found to occur neither via a canonical (CTNNB1-dependent) nor non-canonical WNT signaling mechanism, but was found to be GSK3β-dependent. Rather, SFRP4 was found to antognize AKT activity via a mechanism involving AMPK. This lead to the hypophosphorylation of FOXO1 and a decrease in the expression of a portion of the FSH and FOXO1 transcriptomes. Conversely, FSH-stimulated AMPK, AKT and FOXO1 phosphorylation levels were found to be increased in the granulosa cells of Sfrp4-null mice relative to wild-type controls. SFRP4 treatement of granulosa cells also induced autophagy by signaling via AKT-mTORC1-ULK1, as well as apoptosis.
Conclusions
This study identifies a novel GSK3β-AMPK-AKT signaling mechanism through which SFPR4 antagonizes FSH action, and further identifies SFRP4 as a novel regulator of granulosa cell autophagy. These findings provide a mechanistic basis for the phenotypic changes previously observed in Sfrp4-null mice, and broaden our understanding of the physiological roles of WNT signaling processes in the ovary.
Successful Treatment of MDR Acinetobacter baumannii Meningitis in a Young Adult Patient with Intraventricular and Intravenous Polymyxin B-Tigecycline Based Combinations
Authors: Rahim Md Abdur , Biswas Himel Kumar , Zilani Md Abdul Kader 
Published: May 2024

Abstract

Multiple drug resistance to Acinetobacter baumannii infection treatment is a great challenge for neuro-intensivists due to poor drug penetration through the blood‒brain barrier (BBB). Therefore, the intraventricular administration of polymyxin-B and tigecycline is effective; nevertheless, there are few case reports demonstrating the effectiveness of such treatments. Here, we report the case of a 24-year-old male who presented with fever and neck rigidity after intracranial drainage following lung infection caused by MDR Acinetobacter baumannii. Due to the presence of turbid CSF, the administration of the intrathecal (ITH) route polymyxin-B and tigecycline is not possible. In this situation, the neuro-intensivist decided to start intraventricular tigecycline and polymyxin-B administration along with IV tigecycline and polymyxin-B via the intraventricular route, which was feasible because the patient had an external ventricular drain (EVD) due to obstructive hydrocephalus caused by the neurosurgeon after excision of the tumor.
Exploring Drug-Target Interactions through Network Pharmacology in Breast cancer: A Text Mining Approach
Authors: Tikhile Neha Sanjay 
Published: May 2024

Abstract

Breast cancer is the second largest cause of cancer mortality among women. Breast cancer develops in a multi-step process involving various cell types, and prevention remains a global challenge. One of the most effective ways to avoid breast cancer is to diagnose it early. Breast cancer patients in certain developed nations have a 5-year relative survival rate of more than 80% thanks to early detection and treatment. Network pharmacology is a powerful approach that integrates various disciplines such as pharmacology, systems biology, and network analysis to understand the complex interactions between drugs, targets, and diseases at a systems level through various software like uniprotkb, string, cytoscape. The protein-protein interaction (PPI) analysis was conducted using STRING and Cytoscape. The resulting genes' drug-gene interaction was then used to generate candidate drugs. Our text mining searches yielded 2,658 genes associated with breast cancer. 166 genes have been selected as being important to breast cancer. Gene enrichment analysis identified ten genes encoding 10 pathways, which potentially target ten proteins in total. In conclusion, network pharmacology offers a promising approach for understanding the complex molecular mechanisms underlying breast cancer and identifying potential therapeutic targets. By integrating multi-omics data and computational techniques, we can elucidate intricate drug-target interactions, biological networks, and signaling pathways involved in breast cancer progression and treatment response. This comprehensive approach enables the discovery of novel therapeutic candidates, facilitates drug repurposing strategies, and supports the development of personalized treatment regimens.