bluuebunny/crossref_metadata_2025 huggingface dataset:
Clinical characteristics, diagnosis, treatment, and outcome of patients with liver abscess due to Aspergillus spp: a systematic review of published cases
Authors: Dumic Igor , Caetano Enzo Marasco , Domingues Sidney Marcel , Pantic Ivana , Radovanovic Milan , Prada Libardo Rueda , Nordstrom Charles W , Antic Marina , Milovanovic Tamara , Kotseva Magdalena , Singh Amteshwar , FNU Shweta
Published: March 2024

Background

Aspergillus spp liver abscess is a relatively rare entity and thus far no systematic review has been performed examining patients’ demographics, clinical manifestations, diagnosis, management, and outcome.

Methods

We performed a systematic review of the literature using MEDLINE and LILACS databases. We searched for articles published in the period from January 1990 to December 24, 2022, to identify patients who developed liver abscesses due to Aspergillus spp.

Results

Our search yielded 21 patients all of whom had invasive aspergillosis confirmed on liver biopsy. Of these patients 81% were adults, and 60% were males. The majority (86%) of patients were immunocompromised and 95% had symptomatic disease at the time of diagnosis. The most common symptoms were fever (79%), abdominal pain (47%), and constitutional symptoms (weight loss, chills, night sweats, fatigue) (38%). Liver enzymes were elevated in 50%, serum galactomannan was positive in 57%, and fungal blood cultures were positive in only 11%. Co-infection with other pathogens preceded development of apsergillosis in one-third of patients, and the majority of the abscesses (43%) were cryptogenic. In the remaining patients with known source, 28% of patients developed liver abscess through dissemination from the lungs, 19% through the portal vein system, and in 10% liver abscess developed through contiguous spread. The most common imaging modality was abdominal computerized tomography done in 86% of patients. Solitary abscess was present in 52% of patients while 48% had multiple abscesses. Inadequate initial empiric therapy was prescribed in 60% of patients and in 44% of patients definite treatment included combination therapy with two or more antifungal agents. Percutaneous drainage of the abscesses was done in 40% of patients, while 20% required liver resection for the treatment of the abscess. Overall mortality was very high at 38%.

Conclusion

Further studies are urgently needed for a better understanding of pathophysiology of liver aspergillosis and for developement of newer blood markers in order to expedite diagnosis and decrease mortality.
Inflammatory cytokines mediating the effect of oral lichen planus on oral cavity cancer risk: a univariable and multivariable mendelian randomization study
Authors: Zheng Tao , Liu Chengyong , Wang Yetong , Zhou Han , Zhou Rong , Zhu Xuan , Zhu Zibing , Tan Yisi , Li Zhengrui , Huang Xufeng , Tan Jin , Zhu Keke
Published: March 2024

Background

While observational studies and experimental data suggest a link between oral lichen planus (OLP) and oral cavity cancer (OCC), the causal relationship and the role of inflammatory cytokines remain unclear.

Methods

This study employed a univariable and multivariable Mendelian Randomization (MR) analysis to investigate the causal relationship between OLP and the risk of OCC. Additionally, the potential role of inflammatory cytokines in modulating this association was explored. Instrumental variables were derived from genetic variants associated with OLP (n = 377,277) identified in Finngen R9 datasets, with 41 inflammatory cytokines as potential mediators, and OCC (n = 4,151) as the outcome variable. Analytical methods including Inverse Variance Weighted (IVW), Weighted Median, MR-Egger, and MR-PRESSO were utilized to assess the causal links among OLP, inflammatory cytokines, and OCC risk. Multivariable MR (MVMR) was then applied to quantify the mediating effects of these cytokines in the relationship between OLP and increased OCC risk.

Results

MR analysis provided strong evidence of a causal relationship between OLP (OR = 1.417, 95% CI = 1.167–1.721, p < 0.001) and the risk of OCC. Furthermore, two inflammatory cytokines significantly influenced by OLP, IL-13 (OR = 1.088, 95% CI: 1.007–1.175, P = 0.032) and IL-9 (OR = 1.085, 95% CI: 1.005–1.171, P = 0.037), were identified. Subsequent analysis revealed a significant causal association only between IL-13 (OR = 1.408, 95% CI: 1.147–1.727, P = 0.001) and higher OCC risk, establishing it as a potential mediator. Further, MVMR analysis indicated that IL-13 (OR = 1.437, 95% CI = 1.139–1.815, P = 0.002) mediated the relationship between OLP and OCC, accounting for 8.13% of the mediation.

Conclusion

This study not only elucidates the potential causal relationship between OLP and the risk of OCC but also highlights the pivotal mediating role of IL-13 in this association.
Evaluation and assessment of the survival of tooth implant supported prosthesis in tooth and implant supported rehabilitation cases with metal frameworks
Authors: Narde Joshua , Ahmed Nabeel , Marrapodi Maria Maddalena , Siurkel Yuliia , Ronsivalle Vincenzo , Cicciù Marco , Minervini Giuseppe
Published: March 2024

Introduction

Over the years, implant therapy has been a commonly used treatment option for individuals who are partially or totally edentulous, with a long-term success rate of over 90%. With significant advancements in biomaterials and technology, implant dentistry can now conduct prosthetic rehabilitations in the majority of patients catering to all types of needs. However, in order to meet the demands of a patient base that is always growing, new trends in implantology are emerging in recent years that are focused on minimally invasive surgery and financial sustainability. In certain clinical scenarios, connecting teeth and implants to support fixed partial prosthesis (FPPs) may be a predictable and workable course of treatment.

Materials and methods

22 patients were selected for this study who had tooth and implant supported prosthesis placed as a final restoration. Out of these 22 patients; 12 were male and 10 were female patients. Implants were placed following proper protocol and if grafting procedures were required they were carried out. A second stage surgical procedure was carried out and delayed loading protocols were followed. The statistical analysis was done using the IBM SPSS 24.0, Chicago, USA. The survival of the implants and teeth were measured by the Kaplan Meier survival scale. Bone loss was assessed at baseline(upon loading), 12 months and 24 months.

Results

The implant survival rate was measured at 6 months, 12 months, 18 months and 24 months. At 24 months, one implant showed failure, so the survival rate of the implants were 95.4%. Bone loss of 1 mm was seen around one implant at 12 months. Bone loss of 1 and 2 mm was present around two implants and one implant respectively at 24 months.

Conclusion

From the results of this study, we can conclude that tooth implant supported prosthesis show very good survival when used in rehabilitation cases.
Performance of dental students, orthodontic residents, and orthodontists for classification of midpalatal suture maturation stages on cone-beam computed tomography scans – a preliminary study
Authors: Chhatwani Sachin , Arman Annahita , Möhlhenrich Stephan Christian , Ludwig Björn , Jackowski Jochen , Danesh Gholamreza
Published: March 2024

Background

Assessment of midpalatal suture maturation on cone-beam computed tomography (CBCT) scans is performed by visual inspection and is therefore subjective. The extent to which the assessment of midpalatal suture maturation is affected by rater experience has not been adequately explored in the existing literature, thus limiting the availability of evidence-based findings. This study compared the outcomes of classification by dental students, orthodontic residents, and orthodontists.

Methods

Three different groups of students, orthodontic residents, and orthodontists evaluated 10 randomly chosen CBCT scans regarding midpalatal suture maturation from a pool of 179 patients (98 female and 81 male patients) aged 8 – 40 years which were previously classified by evaluating CBCT scans. The pool was set as benchmark utilizing midpalatal suture maturation classification by one examiner (OsiriX Lite version 11.0; Pixmeo SARL, Bernex, Switzerland). For assessment of intra-rater reliability of the examiners of each group the randomly chosen subjects were reclassified for midpalatal suture maturation after a wash-out period of two weeks by using the same software. Statistical analysis was performed to evaluate intra- and interrater reliability of the three groups with differing experience level.

Results

Groupwise intra-rater reliability assessment between the classification and reclassification was weak for examiners with a low level of experience (k = 0.59). Orthodontists had highest degree of agreement with regard to benchmark classification with an inter-rater reliability to be considered as moderate (k = 0.68).

Conclusions

Assessment of midpalatal suture maturation on CBCT scans appears to be a subjective process and is considerably related to the experience level of the examiner. A high level of clinical experience seems to be favorable but does not necessarily ensure accurate results.
Machine learning models for predicting the onset of chronic kidney disease after surgery in patients with renal cell carcinoma
Authors: Oh Seol Whan , Byun Seok-Soo , Kim Jung Kwon , Jeong Chang Wook , Kwak Cheol , Hwang Eu Chang , Kang Seok Ho , Chung Jinsoo , Kim Yong-June , Ha Yun-Sok , Hong Sung-Hoo
Published: March 2024

Background

Patients with renal cell carcinoma (RCC) have an elevated risk of chronic kidney disease (CKD) following nephrectomy. Therefore, continuous monitoring and subsequent interventions are necessary. It is recommended to evaluate renal function postoperatively. Therefore, a tool to predict CKD onset is essential for postoperative follow-up and management.

Methods

We constructed a cohort using data from eight tertiary hospitals from the Korean Renal Cell Carcinoma (KORCC) database. A dataset of 4389 patients with RCC was constructed for analysis from the collected data. Nine machine learning (ML) models were used to classify the occurrence and nonoccurrence of CKD after surgery. The final model was selected based on the area under the receiver operating characteristic (AUROC), and the importance of the variables constituting the model was confirmed using the shapley additive explanation (SHAP) value and Kaplan-Meier survival analyses.

Results

The gradient boost algorithm was the most effective among the various ML models tested. The gradient boost model demonstrated superior performance with an AUROC of 0.826. The SHAP value confirmed that preoperative eGFR, albumin level, and tumor size had a significant impact on the occurrence of CKD after surgery.

Conclusions

We developed a model to predict CKD onset after surgery in patients with RCC. This predictive model is a quantitative approach to evaluate post-surgical CKD risk in patients with RCC, facilitating improved prognosis through personalized postoperative care.
Relationship between medication burden and medication experience in stable patients with schizophrenia: the mediating effect of medication belief
Authors: Sun Yujing , Yu Hong , Wang Zhengjun , Zhang Jing , Zhou Yuqiu , Cui Wenming , Jiang Wenlong
Published: March 2024

Background

Individuals with schizophrenia require prolonged antipsychotic medication treatment. But more than 50% of individuals with schizophrenia experience adverse medication experiences during their antipsychotic treatments. Such individuals often adjust or discontinue medication, leading to disease relapse and impaired social functioning. Psychiatric nurses should pay close attention to the medication experiences of individuals with schizophrenia. This research explore the relationship between medication burden and medication experience, as well as the mediating effect of medication belief in stable patients with schizophrenia.

Methods

A convenience sample of hospitalized stable patients with schizophrenia were selected from Daqing Third Hospital and Baiyupao Hospital from September 2023 to December 2023. A survey was conducted with them using a questionnaire consisting of general information questionnaire, The Subjective Well-being Under Neuroleptic Treatment Scale(SWN), The Living with Medicines Questionnaire(LMQ), Beliefs about Medicines Questionnaire-Specific (BMQ-Specific). Pearson correlation analysis was used to explore the correlation between LMQ, BMQ-Specific and SWN scores, and multiple linear regression analysis was used to explore the influencing factors of medication experience in patients with schizophrenia. AMOS 24.0 was used to construct the structural equation modeling(SEM), and the mediation effect of the SEM was tested using Bootstrap method.

Results

According to the sample size calculation requirements of structural equation model, a total of 300 samples were required in this study, and 400 effective questionnaires were actually collected in this study, which met the sample size requirements for constructing structural equation models. Bootstrap test showed that the mediation effect was significant. The total effect of medication burden on medication experience was significant (Z=-12.146, 95%CI (-0.577, -0.417), P < 0.001). The indirect effect of medication burden on medication experience, that is, the mediating effect of medication belief was significant (Z=-4.839, 95%CI (-0.217, -0.096), P < 0.001). The direct effect of medication burden on medication experience was significant (Z=-7.565, 95%CI (-0.437, -0.257), P < 0.001). This model belongs to partial mediation model.

Conclusions

Psychiatric nurses can enhance the patients’ medication experience by reducing medication burden and strengthening medication beliefs. Therefore, the results also provide theoretical references and decision-making foundations for psychiatric nursing professionals to develop appropriate management strategies for individuals with schizophrenia.
Phylogenomics resolves the higher-level phylogeny of herbivorous eriophyoid mites (Acariformes: Eriophyoidea)
Authors: Zhang Qi , Lu Yi-Wen , Liu Xin-Yu , Li Ye , Gao Wei-Nan , Sun Jing-Tao , Hong Xiao-Yue , Shao Renfu , Xue Xiao-Feng
Published: March 2024

Background

Eriophyoid mites (Eriophyoidea) are among the largest groups in the Acariformes; they are strictly phytophagous. The higher-level phylogeny of eriophyoid mites, however, remains unresolved due to the limited number of available morphological characters—some of them are homoplastic. Nevertheless, the eriophyoid mites sequenced to date showed highly variable mitochondrial (mt) gene orders, which could potentially be useful for resolving the higher-level phylogenetic relationships.

Results

Here, we sequenced and compared the complete mt genomes of 153 eriophyoid mite species, which showed 54 patterns of rearranged mt gene orders relative to that of the hypothetical ancestor of arthropods. The shared derived mt gene clusters support the monophyly of eriophyoid mites (Eriophyoidea) as a whole and the monophylies of six clades within Eriophyoidea. These monophyletic groups and their relationships were largely supported in the phylogenetic trees inferred from mt genome sequences as well. Our molecular dating results showed that Eriophyoidea originated in the Triassic and diversified in the Cretaceous, coinciding with the diversification of angiosperms.

Conclusions

This study reveals multiple molecular synapomorphies (i.e. shared derived mt gene clusters) at different levels (i.e. family, subfamily or tribe level) from the complete mt genomes of 153 eriophyoid mite species. We demonstrated the use of derived mt gene clusters in unveiling the higher-level phylogeny of eriophyoid mites, and underlines the origin of these mites and their co-diversification with angiosperms.
LINC00115 promotes chemoresistant breast cancer stem-like cell stemness and metastasis through SETDB1/PLK3/HIF1α signaling
Authors: Luo Fei , Zhang Mingda , Sun Bowen , Xu Chenxin , Yang Yi , Zhang Yingwen , Li Shanshan , Chen Guoyu , Chen Ceshi , Li Yanxin , Feng Haizhong
Published: March 2024

Background

Cancer stem-like cell is a key barrier for therapeutic resistance and metastasis in various cancers, including breast cancer, yet the underlying mechanisms are still elusive. Through a genome-wide lncRNA expression profiling, we identified that LINC00115 is robustly upregulated in chemoresistant breast cancer stem-like cells (BCSCs).

Methods

LncRNA microarray assay was performed to document abundance changes of lncRNAs in paclitaxel (PTX)-resistant MDA-MB-231 BCSC (ALDH+) and non-BCSC (ALDH−). RNA pull-down and RNA immunoprecipitation (RIP) assays were performed to determine the binding proteins of LINC00115. The clinical significance of the LINC00115 pathway was examined in TNBC metastatic lymph node tissues. The biological function of LINC00115 was investigated through gain- and loss-of-function studies. The molecular mechanism was explored through RNA sequencing, mass spectrometry, and the CRISPR/Cas9-knockout system. The therapeutic potential of LINC00115 was examined through xenograft animal models.

Results

LINC00115 functions as a scaffold lncRNA to link SETDB1 and PLK3, leading to enhanced SETDB1 methylation of PLK3 at both K106 and K200 in drug-resistant BCSC. PLK3 methylation decreases PLK3 phosphorylation of HIF1α and thereby increases HIF1α stability. HIF1α, in turn, upregulates ALKBH5 to reduce m6A modification of LINC00115, resulting in attenuated degradation of YTHDF2-dependent m6A-modified RNA and enhanced LINC00115 stability. Thus, this positive feedback loop provokes BCSC phenotypes and enhances chemoresistance and metastasis in triple-negative breast cancer. SETDB1 inhibitor TTD-IN with LINC00115 ASO sensitizes PTX-resistant cell response to chemotherapy in a xenograft animal model. Correlative expression of LINC00115, methylation PLK3, SETDB1, and HIF1α are prognostic for clinical triple-negative breast cancers.

Conclusions

Our findings uncover LINC00115 as a critical regulator of BCSC and highlight targeting LINC00115 and SETDB1 as a potential therapeutic strategy for chemotherapeutic resistant breast cancer.
TCMNPAS: a comprehensive analysis platform integrating network formulaology and network pharmacology for exploring traditional Chinese medicine
Authors: Liu Yishu , Li Xue , Chen Chao , Ding Nan , Zheng Peiyong , Chen Xiaoyun , Ma Shiyu , Yang Ming
Published: March 2024

The application of network formulaology and network pharmacology has significantly advanced the scientific understanding of traditional Chinese medicine (TCM) treatment mechanisms in disease. The field of herbal biology is experiencing a surge in data generation. However, researchers are encountering challenges due to the fragmented nature of the data and the reliance on programming tools for data analysis. We have developed TCMNPAS, a comprehensive analysis platform that integrates network formularology and network pharmacology. This platform is designed to investigate in-depth the compatibility characteristics of TCM formulas and their potential molecular mechanisms. TCMNPAS incorporates multiple resources and offers a range of functions designed for automated analysis implementation, including prescription mining, molecular docking, network pharmacology analysis, and visualization. These functions enable researchers to analyze and obtain core herbs and core formulas from herbal prescription data through prescription mining. Additionally, TCMNPAS facilitates virtual screening of active compounds in TCM and its formulas through batch molecular docking, allowing for the rapid construction and analysis of networks associated with “herb-compound-target-pathway” and disease targets. Built upon the integrated analysis concept of network formulaology and network pharmacology, TCMNPAS enables quick point-and-click completion of network-based association analysis, spanning from core formula mining from clinical data to the exploration of therapeutic targets for disease treatment. TCMNPAS serves as a powerful platform for uncovering the combinatorial rules and mechanism of TCM formulas holistically. We distribute TCMNPAS within an open-source R package at GitHub (https://github.com/yangpluszhu/tcmnpas), and the project is freely available athttp://54.223.75.62:3838/.
The crosstalk between cholangiocytes and hepatic stellate cells promotes the progression of epithelial-mesenchymal transition and periductal fibrosis during Clonorchis sinensis infection
Authors: Yi Junyeong , Jeong Ji Hoon , Won Jihee , Chung Seok , Pak Jhang Ho
Published: March 2024

A﻿bstract

Background

Clonorchis sinensis infection is one of the risk factors that provokes chronic inflammation, epithelial hyperplasia, periductal fibrosis and even cholangiocarcinoma (CCA). Disrupted or aberrant intercellular communication among liver-constituting cells leads to pathological states that cause various hepatic diseases. This study was designed to investigate the pathological changes caused by C. sinensis excretory-secretory products (ESPs) in non-cancerous human cell lines (cholangiocytes [H69 cell line] and human hepatic stellate cells [LX2 cell line]) and their intercellular crosstalk, as well the pathological changes in infected mouse liver tissues.

Methods

The cells were treated with ESPs, following which transforming growth factor beta 1 (TGF-β1) and interleukin-6 (IL-6) secretion levels and epithelial-mesenchymal transition (EMT)- and fibrosis-related protein expression were measured. The ESP-mediated cellular motility (migration/invasion) between two cells was assessed using the Transwell and three-dimensional microfluidic assay models. The livers of C. sinensis-infected mice were stained using EMT and fibrotic marker proteins.

Results

Treatment of cells with ESPs increased TGF-β1 and IL-6 secretion and the expression of EMT- and fibrosis-related proteins. The ESP-mediated mutual cell interaction further affected the cytokine secretion and protein expression levels and promoted cellular motility. N-cadherin overexpression and collagen fiber deposition were observed in the livers of C. sinensis-infected mice.

Conclusions

These findings suggest that EMT and biliary fibrosis occur through intercellular communication between cholangiocytes and hepatic stellate cells during C. sinensis infection, promoting malignant transformation and advanced hepatobiliary abnormalities.

Graphical Abstract
Waste analysis and energy use estimation during MR-HIFU treatment: first steps towards calculating total environmental impact
Authors: Anneveldt Kimberley J. , Nijholt Ingrid M. , Schutte Joke M. , Hehenkamp Wouter J. K. , Veersema Sebastiaan , Huirne Judith A. F. , Boomsma Martijn F.
Published: March 2024

Objectives

To assess the environmental impact of the non-invasive Magnetic Resonance image-guided High-Intensity Focused Ultrasound (MR-HIFU) treatment of uterine fibroids, we aimed to perform a full Life Cycle Assessment (LCA). However, as a full LCA was not feasible at this time, we evaluated the CO2 (carbon dioxide) emission from the MRI scanner, MR-HIFU device, and the medication used, and analyzed solid waste produced during treatment.

Methods

Our functional unit was one uterine fibroid MR-HIFU treatment. The moment the patient entered the day care-unit until she left, defined our boundaries of investigation. We retrospectively collected data from 25 treatments to assess the CO2 emission based on the energy used by the MRI scanner and MR-HIFU device and the amount and type of medication administered. Solid waste was prospectively collected from five treatments.

Results

During an MR-HIFU treatment, the MRI scanner and MR-HIFU device produced 33.2 ± 8.7 kg of CO2 emission and medication administered 0.13 ± 0.04 kg. A uterine fibroid MR-HIFU treatment produced 1.2 kg (range 1.1–1.4) of solid waste.

Conclusions

Environmental impact should ideally be analyzed for all (new) medical treatments. By assessing part of the CO2 emission and solid waste produced, we have taken the first steps towards analyzing the total environmental impact of the MR-HIFU treatment of uterine fibroids. These data can contribute to future studies comparing the results of MR-HIFU LCAs with LCAs of other uterine fibroid therapies.

Critical relevance statement

In addition to (cost-) effectiveness, the environmental impact of new treatments should be assessed. We took the first steps towards analyzing the total environmental impact of uterine fibroid MR-HIFU.

Key points

• Life Cycle Assessments (LCAs) should be performed for all (new) medical treatments.

• We took the first steps towards analyzing the environmental impact of uterine fibroid MR-HIFU.

• Energy used by the MRI scanner and MR-HIFU device corresponded to 33.2 ± 8.7 kg of CO2 emission.

Graphical Abstract
A comparative study assessing the efficacy and safety of radiofrequency ablation versus surgical treatment for osteoid osteoma: retrospective analysis in a single institution
Authors: Igrec Jasminka , Smolle Maria Anna , Meszarics Michael , Godschachner Theresa Marie , Steiner Jakob , Feichtinger Mira , Talakic Emina , Portugaller Rupert Horst , Leithner Andreas , Fuchsjäger Michael , Brcic Iva
Published: March 2024

Objective

We aim to evaluate the efficacy of CT-guided percutaneous radiofrequency ablation (RFA) and surgical treatment in osteoid osteoma (OO) treated at the Medical University of Graz.

Materials and methods

In a single-institution study, we analysed data from January 2005 to January 2021 of patients with histological/radiological diagnosis of OO. CT and MRI scans were reviewed for typical findings. Means (with SD) and medians (with IQR) were reported for normally and non-normally distributed variables. Differences between groups were assessed using chi-squared tests and t-tests.

Results

One hundred nineteen patients (mean age: 21.6 ± 10.9 years; 63.9% males) with confirmed OO were retrospectively evaluated. 73 and 43 patients underwent RFA and surgery, respectively. In three cases, RFA combined with surgery was performed. Pre-intervention, 103 patients (88.8%) had undergone CT, and 101 had an MRI (87.1%). The nidus was confirmed in 82.5% of cases with CTs (85/103) and 63.4% with MRIs (64/101). The majority of nidi were located cortically (n = 96; 82.8%), most frequently in the femur (38 patients, 33.3%) with a median size of 8.0 mm (IQR: 5.0–12.0 mm). Median symptom duration before treatment was 6.0 (IQR: 4.0–13.0) months. The complication rate was 12.1% (14/116; 15.1% RFA vs. 7.0% surgery; p = 0.196). In total, 11.2% of patients had persistent symptoms after one week with clinical success rates of RFA and surgery, 86.3% and 90.7% (p = 0.647), respectively.

Conclusion

Compared to surgical treatment, CT-guided percutaneous RFA is a safe, minimally invasive, reliable, and efficient treatment option for OO.

Critical relevance statement

This article critically assesses the diagnosis and treatment of osteoid osteoma, emphasising accurate imaging, and detailing a non-invasive option for effective management.

Key points

• This study analyses 116 cases of OO at one institution, focusing on symptom persistence, recurrence in short-term follow-up, and complications in two study groups.

• Surgery showed higher, though not statistically significant, success despite comparable symptom persistence; CT displayed typical OO features more than MRI, regardless of the intramedullary, cortical and subperiosteal location as well as the site of the affected bone.

• CT-guided RFA is an effective therapeutic alternative for OO compared to surgical intervention. In case of atypical OO appearance, RFA is not the first-line treatment.

Graphical Abstract
A highly efficient resource slicing and scheduling optimization algorithm for power heterogeneous communication networks based on hypergraph and congruence entropy
Authors: Wang Wendi , Jiang Chengling , Yang Linqing , Zhu Hong , Zhou Dongxu
Published: March 2024

New services, such as distributed photovoltaic regulation and control, pose new service requirements for communication networks in the new power system. These requirements include low latency, high reliability, and large bandwidth. Consequently, power heterogeneous communication networks face the challenge of maintaining quality of service (QoS) while enhancing network resource utilization. Therefore, this paper puts forward a highly efficient optimization algorithm for resource slicing and scheduling in power heterogeneous communication networks. Our first step involves establishing an architectural description model of heterogeneous wireless networks for electric power based on hypergraph. This model characterizes complex dynamic relationships among service requirements, virtual networks, and physical networks. The system congruence entropy characterizes the degree of matching between the service demand and resource supply. Then an optimization problem is formed to maximize the system congruence entropy through dynamic resource allocation. To solve this problem, a joint resource allocation and routing method based on Lagrangian dual decomposition is proposed. These methods provide the optimal solutions of the nodes and link mappings of service function chains. The simulation results demonstrate that the proposed algorithm in this paper can greatly enhance resource utilization and also meet the QoS requirements of various services.
Evaluation of residential building damage for the July 2021 flood in Westport, New Zealand
Authors: Paulik Ryan , Wild Alec , Zorn Conrad , Wotherspoon Liam , Williams Shaun
Published: March 2024

Reliable flood damage models are informed by detailed damage assessments. Damage models are critical in flood risk assessments, representing an elements vulnerability to damage. This study evaluated residential building damage for the July 2021 flood in Westport, New Zealand. We report on flood hazard, exposure and damage features observed for 247 residential buildings. Damage samples were applied to evaluate univariable and multivariable model performance using different variable sample sizes and regression-based supervised learning algorithms. Feature analysis for damage prediction showed high importance of water depth variables and low importance for commonly observed building variables such as structural frame and storeys. Overfitting occurred for most models evaluated when more than 150 samples were used. This resulted from limited damage heterogeneity observed, and variables of low importance affecting model learning. The Random Forest algorithm, which considered multiple important variables (water depth above floor level, area and floor height) improved predictive precision by 17% relative to other models when over 150 damage samples were considered. Our findings suggest the evaluated model performance could be improved by incorporating heterogeneous damage samples from similar flood contexts, in turn increasing capacity for reliable spatial transfer.
Thermal modeling of subduction zones with prescribed and evolving 2D and 3D slab geometries
Authors: Sime Nathan , Wilson Cian R. , van Keken Peter E.
Published: March 2024

The determination of the temperature in and above the slab in subduction zones, using models where the top of the slab is precisely known, is important to test hypotheses regarding the causes of arc volcanism and intermediate-depth seismicity. While 2D and 3D models can predict the thermal structure with high precision for fixed slab geometries, a number of regions are characterized by relatively large geometrical changes over time. Examples include the flat slab segments in South America that evolved from more steeply dipping geometries to the present day flat slab geometry. We devise, implement, and test a numerical approach to model the thermal evolution of a subduction zone with prescribed changes in slab geometry over time. Our numerical model approximates the subduction zone geometry by employing time dependent deformation of a Bézier spline that is used as the slab interface in a finite element discretization of the Stokes and heat equations. We implement the numerical model using the FEniCS open source finite element suite and describe the means by which we compute approximations of the subduction zone velocity, temperature, and pressure fields. We compute and compare the 3D time evolving numerical model with its 2D analogy at cross-sections for slabs that evolve to the present-day structure of a flat segment of the subducting Nazca plate.
Beckwith–Wiedemann syndrome with juvenile fibrous nodules and lobular breast tumors: a case report and review of the literature
Authors: Sato Yo , Watanabe Yusuke , Morisaki Takafumi , Hayashi Saori , Otsubo Yoshiki , Ochiai Yurina , Mizoguchi Kimihisa , Takao Yuka , Yamada Mai , Mizuuchi Yusuke , Nakamura Masafumi , Kubo Makoto
Published: March 2024

Background

Beckwith–Wiedemann syndrome (BWS) is a genomic imprinting disorder caused by diverse genetic and/or epigenetic disorders of chromosome 11p15.5. BWS presents with a variety of clinical features, including overgrowth and an increased risk of embryonal tumors. Notably however, reports of patients with BWS and breast tumors are rare, and the association between these conditions is still unclear. Insulin-like growth factor-2 (IGF2) expression is known to be associated with the development of various cancers, including breast cancer, and patients with BWS with specific subtypes of molecular defects are known to show characteristic clinical features and IGF2 overexpression.

Case presentation

A 17-year-old girl who had been diagnosed with BWS based on an umbilical hernia, hyperinsulinemia, and left hemihypertrophy at birth, visited our department with a gradually swelling left breast. Her left breast was markedly larger than her right breast on visual examination. Imaging examinations showed two tumors measuring about 10 cm each in the left breast, and she was diagnosed with juvenile fibroadenoma following core needle biopsy. The two breast tumors were removed surgically and the patient remained alive with no recurrence. The final diagnosis was juvenile fibroadenoma without malignant findings. Immunohistochemical staining using IGF2 antibody revealed overexpression of IGF2 in the cytoplasm of ductal epithelial cells. Because of her clinical features and IGF2 overexpression, molecular defects of 11p15.5 including a possible genetic background of paternal uniparental disomy of chromosome 11 or hypermethylation of imprinting center 1 was suspected.

Conclusions

In this case, overexpression of IGF2 suggested a possible relationship between BWS and breast tumors. Moreover, the characteristic clinical features and IGF2 staining predicted the subtype of 11p15.5 molecular defects in this patient.
Exploring intention of undergraduate students to embrace chatbots: from the vantage point of Lesotho
Authors: Ayanwale Musa Adekunle , Molefi Rethabile Rosemary
Published: March 2024

The increasing prevalence of Fourth Industrial Revolution (4IR) technologies has led to a surge in the popularity of AI application tools, particularly chatbots, in various fields, including education. This research explores the factors influencing undergraduate students' inclination to embrace AI application tools, specifically chatbots, for educational purposes. Using an expanded diffusion theory of innovation framework, the study investigates the relationship between relative advantages, compatibility, trialability, perceived trust, perceived usefulness, perceived ease of use, and behavioral intention. Using a 7-point scale, a questionnaire was given to 842 undergraduate students to collect data. The analysis, conducted using SmartPLS 4.0.9.2 software with a covariance-based structural equation model, produced significant findings. The study confirms hypotheses related to the relative advantages, compatibility, trialability, perceived usefulness, and perceived trust associated with chatbots. Notably, students who perceive the benefits of chatbots show a strong intention to use them for academic purposes. The perception of compatibility between students and chatbots positively influences adoption intention, highlighting the importance of compatibility. Additionally, students who have the opportunity to trial chatbots are more likely to use them, emphasizing the significance of trialability. Interestingly, the study did not establish direct relationships between perceived usefulness, perceived ease of use, and behavioral intention. This suggests the presence of other influential factors or dynamics in the adoption of chatbots for educational purposes. These findings offer practical insights for students and contribute to the theoretical understanding of the diffusion theory of innovation. Future research can further explore these insights to unravel the complexities of chatbot adoption and facilitate the broader adoption of AI tools in educational settings.
An efficient protocol for quantifying catalase activity in biological samples
Authors: Hadwan Mahmoud Hussein , Alta’ee Abdulsamie Hassan , Mohammed Rawa M. , Hadwan Asad M. , Al-Kawaz Hawraa Saad , Al Talebi Zainab Abbas
Published: March 2024

Background

Catalase is an important enzyme that helps protect cells against oxidative stress. The current protocol presents a reliable method for measuring catalase (CAT) enzyme activity in biological systems using the CUPRAC-CAT method.

Methods

In the CUPRAC-CAT method, the component of the enzymatic reaction was incubated before adding the Cu(Nc)22+ reagent. The unreacted substrates reduced the Cu(II)-the neocuproine complex, resulting in the highly colored Cu(I)-neocuproine product, which could be detected spectrophotometrically at 450 nm. The negative correlation between catalase activity and the absorbance of the Cu(I)-neocuproine complex was examined. To assess the optimization of Cu(I)-neocuproine complex production, response surface methodology (RSM) was employed, specifically utilizing the Box–Behnken design (BBD). Additionally, the reliability of the newly developed protocol was confirmed through Bland–Altman analysis of catalase activity in paired samples, employing the peroxovanadate method.

Results

The novel method is just as accurate as the established standard; the correlation between the two methods was 0.99. The CUPRAC-CAT method is stable, sensitive, linear, reproducible, accurate, and selective and can be used for quantifying oxidative stress while measuring catalase activity in liver tissue homogenates.

Conclusions

This study has demonstrated a straightforward and dependable protocol for evaluating catalase activity. The protocol is free from interference and can be easily employed in scientific research, ensuring a high level of accuracy and precision. The CUPRAC-CAT method is an effective technique to monitor bacterial contamination. This method provides quick and reliable results that can help ensure food safety and prevent or address bacterial contamination.

Graphical abstract
Neurocognitive profiles in a community sample of children & adolescents: sociodemographic, behavioral and emotional correlates
Authors: Barakat Marc , Shamseddeen Wael , Hanna Elissa , Dirani Leyla Akoury , Brent David , Porta Giovanna , Maalouf Fadi T.
Published: March 2024

Objectives

We aim to investigate the association between cognitive profiles of children and adolescents, classified using latent class analysis and emotional, behavioral and sociodemographic factors in a community-based sample of children and adolescents.

Methods

The sample consists of 161 participants recruited from a nationally representative household sample of 1517 children and adolescents who participated in a national mental health survey. Participants and their parents completed the following scales: Strengths and Difficulties Questionnaire, Mood and Feelings Questionnaire, and Screen for Child Anxiety Related Emotional Disorders. Participants were then administered a battery of cognitive tests from the Cambridge Automated Neuropsychological Assessment Battery as well as the Wechsler Nonverbal Scale of Ability.

Results

Latent class analysis showed a 2-class model that was stable and had good entropy (0.837). Class 1 included 58 participants (36.0%), and Class 2 included 103 participants (64.0%). Participants belonging to Class 1 performed better than those in Class 2 on all cognitive tasks. Chances for belonging to a specific Class varied based on different sociodemographic, behavioral and emotional factors: older participants with higher Intellectual Quotient, higher parental educational level, lower reported hyperactivity and better-reported mood were more likely to belong to Class 1.

Conclusion

Our results show a tight correlation between different emotional, behavioral and sociodemographic variables on one hand and cognitive functioning in children and adolescents on the other hand. This supports the continuous need for an integrative approach when building norms for cognitive tests that account at the least for all these variables.
Who are vaccine champions and what implementation strategies do they use to improve adolescent HPV vaccination? Findings from a national survey of primary care professionals
Authors: Brewington Micaela K. , Queen Tara L. , Heisler-MacKinnon Jennifer , Calo William A. , Weaver Sandra , Barry Chris , Kong Wei Yi , Kennedy Kathryn L. , Shea Christopher M. , Gilkey Melissa B.
Published: March 2024

Background

Implementation science researchers often cite clinical champions as critical to overcoming organizational resistance and other barriers to the implementation of evidence-based health services, yet relatively little is known about who champions are or how they effect change. To inform future efforts to identify and engage champions to support HPV vaccination, we sought to describe the key characteristics and strategies of vaccine champions working in adolescent primary care.

Methods

In 2022, we conducted a national survey with a web-based panel of 2527 primary care professionals (PCPs) with a role in adolescent HPV vaccination (57% response rate). Our sample consisted of pediatricians (26%), family medicine physicians (22%), advanced practice providers (24%), and nursing staff (28%). Our survey assessed PCPs’ experience with vaccine champions, defined as health care professionals “known for helping their colleagues improve vaccination rates.”

Results

Overall, 85% of PCPs reported currently working with one or more vaccine champions. Among these 2144 PCPs, most identified the champion with whom they worked most closely as being a physician (40%) or nurse (40%). Almost all identified champions worked to improve vaccination rates for vaccines in general (45%) or HPV vaccine specifically (49%). PCPs commonly reported that champion implementation strategies included sharing information (79%), encouragement (62%), and vaccination data (59%) with colleagues, but less than half reported that champions led quality improvement projects (39%). Most PCPs perceived their closest champion as being moderately to extremely effective at improving vaccination rates (91%). PCPs who did versus did not work with champions more often recommended HPV vaccination at the earliest opportunity of ages 9–10 rather than later ages (44% vs. 33%, p < 0.001).

Conclusions

Findings of our national study suggest that vaccine champions are common in adolescent primary care, but only a minority lead quality improvement projects. Interventionists seeking to identify champions to improve HPV vaccination rates can expect to find them among both physicians and nurses, but should be prepared to offer support to more fully engage them in implementing interventions.
The Right Dose: Results of a Patient Advocate–Led Survey of Individuals With Metastatic Breast Cancer Regarding Treatment-Related Side Effects and Views About Dosage Assessment to Optimize Quality of Life
Authors: Loeser Anne , Kim Janice S. , Peppercorn Jeffrey , Burkard Mark E. , Niemierko Andrzej , Juric Dejan , Kalinsky Kevin , Rugo Hope , Glenn Lesley , Hodgdon Christine , Maues Julia , Johnson Sheila , Padron Natalia , Parekh Kimberly , Lustberg Maryam , Bardia Aditya
Published: March 2024

PURPOSE

Although patients with metastatic breast cancer (MBC) have been living longer with the advent of more effective treatments such as targeted therapy and immunotherapy, the disease remains incurable, and most patients will undergo therapy indefinitely. When beginning therapy, patients are typically prescribed dose often based upon the maximum tolerated dose identified in phase I clinical trials. However, patients' perspectives about tolerability and willingness to discuss individualized dosing of drugs upon initiation of a new regimen and throughout the course of treatment have not been comprehensively evaluated.

METHODS

Patient advocates and medical oncologists from the Patient-Centered Dosing Initiative (PCDI) developed a survey to ascertain the prevalence and severity of MBC patients' treatment-related side effects, the level of patient-physician communication, mitigation strategies, perception about the relative efficacy of higher versus lower doses, and willingness to discuss alternative dosing. The PCDI distributed the anonymous confidential online survey in August 2020 to individuals with self-reported MBC.

RESULTS

One thousand and two hundred twenty-one patients with MBC completed the survey. 86.1% (n = 1,051) reported experiencing at least one significant treatment-related side effect, and of these, 20.3% (n = 213) visited the emergency room/hospital and 43.2% (n = 454) missed at least one treatment. Nearly all patients with side effects (97.6%, n = 1,026) informed their doctor and 81.7% (n = 838) received assistance. Of the 556 patients given a dose reduction for side-effect mitigation, 82.6% (n = 459) reported relief. Notably, majority of patients (53.3%, n = 651) do not believe that higher dose is always more effective than lower dose, and 92.3% (n = 1,127) would be willing to discuss flexible dosing options with their physicians based upon personal characteristics to optimize quality of life.

CONCLUSION

Given that the majority of patients with MBC experienced at least one substantial treatment-related side effect and most patients given a dose reduction reported improvement, innovative dosage-related strategies are warranted to sustain and improve patients' well-being. Patient-physician discussions in which the patient's unique attributes and circumstances are assessed upon initiation of new treatment and throughout the course of therapy may facilitate the identification of the most favorable dose for each patient, and the majority of patients would be receptive to this approach.
Human Seminal Extracellular Vesicles Enhance Endometrial Receptivity Through Leukemia Inhibitory Factor
Authors: Wang Hanshu , Lin Yu , Chen Rongrong , Zhu Yu , Wang Hongqiang , Li Shengxian , Yu Lei , Zhang Kaishu , Liu Yujie , Jing Tao , Sun Fei
Published: March 2024

Seminal extracellular vesicles (EVs) contain different subgroups that have diverse effects on sperm function. However, the effect of seminal EVs—especially their subgroups—on endometrial receptivity is largely unknown. Here, we found that seminal EVs could be divided into high-density EVs (EV-H), medium density EVs, and low-density EVs after purification using iodixanol. We demonstrated that EV-H could promote the expression and secretion of leukemia inhibitor factor (LIF) in human endometrial cells. In EV-H–treated endometrial cells, we identified 1274 differentially expressed genes (DEGs). DEGs were enriched in cell adhesion and AKT and STAT3 pathways. Therefore, we illustrated that EV-H enhanced the adhesion of human choriocarcinoma JAr cell spheroids to endometrial cells through the LIF-STAT3 pathway. Collectively, our findings indicated that seminal EV-H could regulate endometrial receptivity through the LIF pathway, which could provide novel insights into male fertility.