bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of Metauniverse Model Based on NFT Expansion in the Perspective of Blockchain Green Finance
Authors: Xu Weishuang , Li Daming 
Published: June 2024

Abstract

The progress of computer technology has given the Internet of Things (IoT) a better development space, and also promoted the wide application of blockchain technology under the IoT. NFT (Non-Fungible Token) technology, which is a blockchain derivative, has also generated a vast amount of buzz with the meta-universe. The essence of the metauniverse is a digital twin space based on blockchain. The universe economy cannot operate freely. It needs to blend and interact with the real economy. The value anchor of NFT plays an important role in the metacosmic economy. In order to better play the role of NFT in the metacosmic model of different projects, it is necessary to study the metacosmic model expanded by NFT. Therefore, this paper focused on the green finance of the blockchain. By discussing NFT and the metauniverse, the idea of extending NFT under the green finance of the blockchain to the metauniverse model was put forward. Through empirical analysis, it was found that the method proposed in this paper has a more obvious effect than the traditional method. It promoted the actual asset growth rate of Item 3 by 3.7%, and the digital asset growth rate by 4.7%; At the same time, the rationality of resource allocation of Item 4 was increased by 7.3% and 5.6% respectively, and it also played a significant role in reducing the risk occurrence rate. This meant that the method proposed in this paper has a certain practical effect. It can improve the economic benefits of different project metauniverse models and promote their economic growth, thus bringing new opportunities for different industries. In addition, the research and application of blockchain technology has also enriched the application scope of the IoT, thus promoting its development.
Construction and validation of a predictive model for mortality risk in patients with Acinetobacter baumannii-induced septicaemia
Authors: Li Xiaojun , Cai Donghao , Mei Chuangchuang , Huang Xinghui , Zhou Xiaohong , Yuan Lin , Guo Jianfen , Duan Yan 
Published: June 2024

Abstract

Purpose To develop and validate a predictive model for the risk of death in patients with Acinetobacter baumannii (A. baumannii) sepsis for clinical decision-making and patient management.Methods Demographic and clinical data related to patients with A. baumannii sepsis admitted to the Guangdong Second Traditional Chinese Medicine Hospital for 13 consecutive years from January 2011 to December 2023 were collected. The 160 patients admitted from January 2011–December 2020 composed the training cohort, and the 46 patients admitted from January 2021–December 2023 composed the validation cohort according to the time of admission. LASSO regression analysis and multivariate Cox regression were used to determine the independent risk factors for death in patients with A. baumannii sepsis, and a nomogram was constructed based on the results of multivariate Cox regression. The predictive model was evaluated using the area under the curve (AUC) of the subject's work characteristics (ROC) curve, decision curve analysis (DCA), and standard curves for discrimination, accuracy, and calibration.Results Comorbid septic shock, an elevated neutrophil/lymphocyte ratio (NLR), low hemoglobin levels, and low platelet counts were found to be independent risk factors for death in patients with A. baumannii sepsis. With the models constructed from these four variables, the AUCs of the ROC curves of the test and validation cohorts for the prognostic scenarios at 7, 14, and 28 days were not less than 0.850, and the AUCs of the ROC curves of the risk-of-death prediction model were the highest for both groups at 7 days, at 0.907 and 0.886, respectively. The two sets of calibration curves show that the calibration curves oscillate around a 45° diagonal line at 7, 14, and 28 days, and there is a good correlation between the actual risk and the predicted risk, with a high degree of calibration. The clinical decision curve shows that the model has a strong discriminatory ability when the probability is between 10% and 70%, and the net benefit is greater.Conclusion The variables for constructing the model are convenient and easily available, and the proposed model has good predictive value for the risk of death in patients with A. baumannii sepsis and can be widely used.
A Follow-Up Study on the Thai Pharmacogenomics Database-1 (TPGxD-1): Validating CYP2D6 Allele Calls Using Contemporary Bioinformatics Tools
Authors: John Shobana , Sura Thanyachai , Dejsuphong Donniphat , Srit Piyamitr , Vathesatogkit Prin , Thongchompoo Nartthawee , Thabthimthong Wiphaporn , Teerakulkittipong Nuttinee , Chantratita Wasun , Sukasem Chonlaphat , Klumsathian Sommon , Own-eium Paravee , Eu-ahsunthornwattana Jakris , Charoenyingwattana Angkana 
Published: June 2024

Abstract

The accurate prediction of star alleles of the CYP2D6 gene is crucial for pharmacogenomic precision, enabling tailored drug therapy based on individual genetic profiles. This study evaluates the efficacy of various bioinformatics algorithms for calling diplotypes, structural variants (SVs), and copy number variations (CNVs) of the CYP2D6 gene using whole genome sequencing (WGS) data from a cohort of 942 Thai individuals and validating our TPGxD-1 allele calls for CYP2D6. WGS data were processed using Illumina and HiSeq X technologies, with alignment to the GRCh38 reference genome. The Burrows-Wheeler Aligner and GATK tools were employed for read alignment, duplicate marking, and base quality score recalibration. Four algorithms—SGv2.0.2, sPGxv1.2.7, Aldyv4.0, and Cyrius v1.1.1—were used for star allele analysis. The results indicated that Aldyv4.0 had the highest calling rate for diplotypes/SVs/CNVs at 99.3%, followed by SGv2.0.2, while other algorithms showed varying efficiencies. Concordance analysis revealed high similarity in diplotype/SV/CNV frequencies between SGv2.0.2 and other tools, with Cyrius v1.1.1 showing the highest concordance in diplotype frequencies (r = 0.99) and sPGxv1.2.7 in SV/CNV frequencies (r = 0.99). Phenotype prediction was conducted using SGv2.0.2 and sPGxv1.2.7, showing high concordance in predicted metabolizer statuses. However, discrepancies were observed, primarily due to differing algorithmic capabilities in handling complex genetic variations. Unique and discordant diplotypes/SVs/CNVs were identified, highlighting areas for further tool optimization. Overall, this research contributes to the refinement of CYP2D6 allele calls, providing insights into the performance of contemporary bioinformatics tools and their implications for pharmacogenomic testing.
Impact of Marmara-yegen Cutting Gastrojejunostomy on Delayed Gastric Emptying After Pancreatoduodenectomy: Initial Results
Authors: Atici Ali Emre , Ozocak Ayşegul Bahar , Kayaci Ayse Eren , Ozturk Ecem Guclu , Kararmaz Alper , Yegen Sevket Cumhur 
Published: June 2024

Abstract

Background: Delayed gastric emptying (DGE) is one of the most common reasons for morbidity after pancreatoduodenectomy. Technical characteristics of anastomosis which you affect may offer a relevant chance to improve postoperative DGE rates. We investigated the effect of a technical modification of gastrojejunostomy after the classical pancreaticoduodenectomy on DGE.
Materials and Methods: A total of 144 patients underwent classical pancreaticoduodenectomy (with 20-40 per cent antrectomy) due to pancreatic adenocarcinoma at the Department of General Surgery, Marmara University, School of Medicine Hospital, from February 2019 to May 2013, and those who met the inclusion criteria were enrolled. 107 patients had undergone classical end-to-side gastrojejunostomy (Classical GJ group), and 37 had undergone Marmara-Yegen cutting partially side-to-side gastrojejunostomy (M-Yc group). The postoperative DGE rates of both groups were compared according to the International Study Group of Pancreatic Surgery (ISGPS) definition of DGE. In addition, a multivariate analysis of the influencing factors for DGE development and severity has also been conducted.
Results: The total incidence of DGE was 36.4% in the Classical GJ group and 21.6% in the (M-Yc group). Although there was no significant difference between the groups regarding DGE and DGE grade rates (p=0.097), DGE was distinctly lower in the M-Yc GJ group than the Classical GJ group. In the multivariate analysis determined the presence of intra-abdominal fluids/collections, the use of the ERCP route for biliary drainage, and PTBD as independent predictors for DGE.
Conclusions: We tried to clarify the mechanism of DGE from the anatomic configuration aspect. The incidence and severity of DGE decreased in patients who underwent M-Yc GJ.
PortableNet: An Automatical Diagnosis Method for Gastrointestinal Motility Analysis
Authors: Lin Junwu , Wu Xiaofang , Chen Qun , Guo Cunhan , Ma Liyi , Luo Shaoye , Huang Jiayan 
Published: June 2024

Abstract

Gastrointestinal motility serves as a crucial diagnostic indicator for functional gastric disorders. However, manual analysis of swallowing cloud images in gastrointestinal motility presents numerous drawbacks, including time-intensive processes, labor-intensive procedures, and subjectivity in diagnosis. In response to these challenges, we propose a gastrointestinal motility analysis model based on deep learning techniques to facilitate preliminary diagnosis of swallowing cloud images in gastrointestinal motility, thereby augmenting diagnostic efficiency for medical practitioners. Initially, we construct a gastrointestinal motility dataset. Subsequently, we introduce a light weight model, termed PortableNet, derived from MobileNet architecture. The research findings demonstrate that the PortableNet model achieves a recognition accuracy of 93.99% with only 4.3 million parameters. Compared to the MobileNet architecture model, there is a 5.05% increase in recognition accuracy and a 58.65% reduction in size. These results collectively indicate that the PortableNet model delivers superior overall performance, offering both high accuracy and efficiency in recognizing gastrointestinal motility swallowing cloud images. Such advancements can significantly enhance diagnostic efficiency among medical professionals, thereby offering valuable insights for future research endeavors.
Terson’s syndrome: sometimes a challenge diagnosis
Authors: Castaño-Martín Beatriz , Martin-Herrero Andrea , Pastora-Salvador Natalia , Prieto-Del-Cura Mar , Irache-Varona Iciar 
Published: June 2024

Abstract

Background:to highlight the importance of a complete ophthalmologic examination in patients with hemianopia.
Case presentation: a 19-year-old female patient who underwent craneotomy for hematoma and brain herniation due to ruptured left temporal arteriovenous malformation was referred to ophthalmology from neurosurgery due to right hemianopia complaints.
In the examination, she showed best-corrected visual acuity of 20/25 in right eye and 20/200 left eye, in confrontation campimetry temporal hemianopsia in right eye and not assessable in left eye due to low visual acuity. Funduscopic examination showed mild papillary paleness in right eye and central fibrinoid hemovitreous in left eye that required surgical vitrectomy with good evolution. After surgery, the patient presented an improvement in visual acuity, but not in her right homonymous hemianopia.
Conclusions: Terson’s syndrome diagnosis worsens the vital prognosis and clinical outcomes of patients with intracraneal hemorrhages and could seriously compromise the vision. Although imaging test detect most intraocular hemorrhages and some previous manuscript concluded that could replace routine ophtalmologic examinations, we found the presence of a visually significant vitreous hemorrhage inadvertent in previous serial imaging test.We want to emphasize, by this case report, the importance of funduscopy examination in patients with intracraneal hemorrhages even when radiological tests do not show intraocular hemorrhages.
Impact of depth of body cavity at the upper-right portion of the abdomen on open and laparoscopic liver resection of segment 7
Authors: Gon Hidetoshi , Komatsu Shohei , Soyama Hirotoshi , Tanaka Motofumi , Kido Masahiro , Fukushima Kenji , Urade Takeshi , So Shinichi , Yoshida Toshihiko , Arai Keisuke , Tsugawa Daisuke , Yanagimoto Hiroaki , Toyama Hirochika , Fukumoto Takumi 
Published: June 2024

Abstract

Purpose
The impact of body-cavity depth on open (OLR) and laparoscopic liver resection (LLR) of segment 7 remains unclear. Therefore, we investigated the influence of body-cavity depth at the upper-right portion of the abdomen on LLR and OLR of segment 7.
Methods
In total, 101 patients who underwent segment-7 liver resection over 2010–2023 were included. Body-cavity depth was measured from the abdominal-wall surface to the deepest site on the right side of the liver. Patients were categorized into shallow (< 18.4 cm) and deep (≥ 18.4 cm) populations based on median body-cavity depth. We compared surgical outcomes between OLR and LLR in shallow and deep populations after propensity-score adjustments.
Results
In OLR and LLR groups, 27 and 22 patients in the shallow population, respectively, and 26 and 26 patients were included in the deep population, respectively, were included. The OLR group in the deep population had significantly greater blood loss than the corresponding LLR group (difference: 144 mL, 95% confidence interval (CI): [50, 238], P = 0.004). Other surgical outcomes, including operative time, were similar between groups. In the shallow population, the OLR group had significantly shorter operative time (difference: − 54 mL, 95% CI: [–101, − 6], P = 0.028) and similar blood loss than the LLR group.
Conclusions
For segment-7 liver resection, LLR is likely favorable for patients with a deep body cavity, with similar operative time and lower blood loss compared to OLR. Body-cavity depth could be a useful indicator for determining the suitable surgical approach for segment-7 liver resection.
Monitoring and evaluation framework for Primary Health Care programmes and systems: a scoping review
Authors: Endalamaw Aklilu , Khatri Resham B , Erku Daniel , Zewdie Anteneh , Wolka Eskinder , Getahun Frehiwot , Assefa Yibeltal 
Published: June 2024

Abstract

Background: Primary health care (PHC) is a whole-of-society approach that strengthens the national health system and brings health services closer to communities. It encompasses health service provision, community engagement, and multisectoral action. The health system’s performance regarding PHC is expected to be evaluated based on these three perspectives. However, comprehensive evidence presenting the elements to be evaluated in each aspect of PHC was lacking. Therefore, we assessed essential elements to be considered in the PHC monitoring and evaluation processes.
Methods: We searched articles from PubMed, EMBASE, Web of Science, CINAHL, and PsycInfo. A complementary search of grey literature was conducted from Google Scholar, WHO website, Primary Health Care Program Initiative interface, and Google. We synthesised findings by bringing similar concepts into a common dimension based on predetermined set of activities, including identifying review questions, selecting relevant frameworks, extracting data, identifying domains, and categorising in major themes, The main themes are structure, input, process, output, and outcome.
Results: A total of 48 monitoring and evaluation frameworks were included. When evaluating PHC performance, it’s essential to consider population characteristics and contexts, including social, economic, cultural, and political factors. Existing population-based data sources should inform these assessments. Within the broader context, global and national health systems need to address effective system structures. Key components include governance, leadership, health financing, and alignment with population health needs. Inputs such as physical infrastructure, health workforce, medicines, health information, and digital technologies play a crucial role. Processes involve models of care, quality improvement systems, and resilient health facilities and services. Outputs in service delivery encompass access, availability, and quality of care. The goal of the PHC system is to improve health outcomes (reduced morbidity and mortality) and achieve health system objectives (equity, efficiency, resilience, and responsiveness).
Conclusions: The review identified areas of overlap within the three aspects of PHC. Many monitoring and evaluation frameworks lack comprehensiveness and uniformity, show differences between data sources, and use inadequate indicators. This review may offer insights for policy measures, clinical service enhancements, and community engagement strategies. It helps identify essential indicators towards the overarching goal of achieving universal health coverage, health security, and health system outcomes.
Retrospective analysis of multiparametric MRI in Predicting Complete Pathologic Response of Neo-adjuvant Chemotherapy in Bladder Cancer
Authors: De Maeseneer Daan , De Visschere Pieter , Broecke Mats Van den , Delbare Felix , Villeirs Geert , Verbeke Sofie , Fonteyne Valérie , Praet Charles Van , Decaestecker Karel , Decruyenaere Alexander , Rottey Sylvie 
Published: June 2024

Abstract

Background
Muscle invasive bladder cancer (MIBC) treatment combines systemic therapy and radical cystectomy (RC) or local (chemo-)radiotherapy. Response to systemic therapy is an important outcome predictor but is difficult to assess pre-operatively.
Methods
We analyzed multiparametric MRI (mpMRI) in consecutive MIBC patients receiving cisplatin-based neo-adjuvant chemotherapy at our institution. Two readers, blinded for pathological outcome, independently scored mpMRI before and after 2 and 4 cycles using both a qualitative 3-step method and nacVI-RADS. We analyzed accuracy of mpMRI scores to predict pathologic complete response (pCR) and inter-observer agreement.
Results
We analyzed 46 patients receiving NAC, 6 patients did not undergo RC after NAC and were excluded. Eleven out of 40 (28%) patients showed a pCR. mpMRI could be assessed in over 90% of patients. Radiographic complete response (rCR) using both methods was significantly associated with pCR, with an overall specificity of 96% and sensitivity of 36% and a high inter-observer agreement. rCR as assessed by the 3-step score was significantly associated with disease free survival (DFS) benefit.
Conclusion
The use of nacVI-RADS can predict pCR after NAC with high specificity but low sensitivity and a high inter-observer agreement. A 3-step score adds value in determining local residual disease, rCR assessed by this method could correlate with DFS benefit. mpMRI scores should be prospectively assessed in future trials of multimodal management of MIBC and can be a predictive asset in routine clinical management.
A Multi-disciplinary Analysis of the Portrait of Philip the Good in Dijon
Authors: Buti David , Cartechini Laura , Fontana Raffaella , Iwanicka Magdalena , Raffaelli Marco , Targowski Piotr , Verheyen Jan 
Published: June 2024

Abstract

One of the finest portraits of the Burgundian Duke Philip the Good resides in the Musée des Beaux-Arts in Dijon. This small yet exceptionally crafted panel holds significance for both historians and art historians alike. Surprisingly, prior to this study, the context, the dating and the authorship of the piece remained obscure, and the unfounded yet widely circulated hypothesis of it being "a copy of a lost portrait by Rogier van der Weyden" does not withstand critical analysis. Therefore, this painting underwent a multidisciplinary investigation spanning both the positive and human sciences. Macro-XRF scans were conducted alongside hyperspectral reflectance scans, multispectral imaging in the visible and infrared range, and optical coherence tomography. These analyses were complemented by an art historical study. As a result, a precise delineation between authentic and retouched sections was achieved. This article does not merely present the various perspectives separately but constructs a coherent narrative based on all these foundations. This holistic multidisciplinary research methodology produced a clear account, albeit with some scope for future inquiry. The involvement of the painter Pieter Cristus was conclusively demonstrated. This painter, whether himself personally, an assistant in the workshop or a contemporary follower, is attributed to the genesis of this work, which is presumed to be not the original portrait but a contemporaneous copy, possibly commissioned by the Burgundian Duke himself. While we no longer remain in the dark and have lifted some veils, this study also paves the way for further investigation into this panel and the numerous other portraits of Philip the Good.
Acute Cholecystitis Diagnosis in the Emergency Department: An Artificial Intelligence-based Approach
Authors: Saboorifar M. D. Hossein , Rahimi Mohammad , Babaahmadi Paria , Farokhzadeh Asal , Behjat Morteza , Tarokhian Aidin 
Published: June 2024

Abstract

Objectives
This study aimed to assess the diagnostic performance of a support vector machine (SVM) algorithm for acute cholecystitis and evaluate its effectiveness in accurately diagnosing this condition.
Methods
Using a retrospective analysis of patient data from a single center, individuals with abdominal pain lasting one week or less were included. The SVM model was trained and optimized using standard procedures. Model performance was assessed through sensitivity, specificity, accuracy, and AUC-ROC, with probability calibration evaluated using the Brier score.
Results
Among 534 patients, 198 (37.07%) were diagnosed with acute cholecystitis. The SVM model showed balanced performance, with a sensitivity of 83.08% (95% CI: 71.73–91.24%), a specificity of 80.21% (95% CI: 70.83–87.64%), and an accuracy of 81.37% (95% CI: 74.48–87.06%). The positive predictive value (PPV) was 73.97% (95% CI: 65.18–81.18%), the negative predictive value (NPV) was 87.50% (95% CI: 80.19–92.37%), and the AUC-ROC was 0.89 (95% CI: 0.85 to 0.93). The Brier score indicated well-calibrated probability estimates.
Conclusion
The SVM algorithm demonstrated promising potential for accurately diagnosing acute cholecystitis. Further refinement and validation are needed to enhance its reliability in clinical practice.