bluuebunny/crossref_metadata_2025_split huggingface dataset:
Poor Childhood Oral Health and Carotid Intima-Media Thickness: A Systematic Review
Authors: Alchourron Emilie , Asselin Marie-Ève , Fréchette Britta , Moretti Jean-Baptiste , El-Jalbout Ramy 
Published: August 2023

Abstract

Background: In adults, poor oral health, such as periodontal disease, is associated to increased circulating inflammatory markers and cardiovascular disease risk. To detect subclinical atherosclerosis, carotid intima-media thickness (IMT) is a radiological technique used in adults and children. A meta-analysis of 11 studies demonstrated the significant increase in IMT in adults in with periodontal disease.
Purpose: Examine the evidence concerning poor oral health and increased IMT in children.
Methods. Following the Cochrane Handbook of Systematic Reviews and PRISMA checklist, we conducted a systematic review. We searched on the Cochrane Database, MEDLINE, EMBASE, and CINHAL for publications in French and English, from inception until March 2023. Two researchers independently reviewed each article and applied inclusion and exclusion criteria to screen for eligibility. Risk of bias was also assessed using the GRADE approach.
Results. The literature search yielded 40 articles, and 2 were included. Mean age for both studies was 9.84 years (49.8% female), with an age range of 6-17 years old. Both studies concluded that an association exists between IMT and chronic buccodental status in children. Moreover, childhood oral infections were linked to subclinical atherosclerosis in adulthood.
Conclusion. This association has important clinical implications for treatment and preventive measures in evaluating the risk factors for early cardiovascular disease in children.
Retrospective data analysis of twenty work-related injured workers who received autologous tenocyte injection for chronic resistant lateral epicondylitis between 2011 to 2018. A clinical and economic perspective
Authors: Dey Sovan , Hughes Jeff , O’Beirne Alex , Wang Allan , Zheng MingHao , White Craig 
Published: August 2023

Abstract
Background: Lateral epicondylitis or tendinopathy is the most common cause of lateral elbow pain, and chronic resistant lateral epicondylitis (CRLE) is a problem for many workers. Among the non-surgical treatments, autologous tenocyte injection (ATI) is relatively new and may provide faster recovery.
Objectives- To assess WorkCover patients with CRLE who have undergone ATI rather than surgical intervention. To analyse their recovery period, pain score, functional capacity and changes in MRI findings. And to estimate any economic advantage of ATI over surgery.
Methodology: A retrospective data analysis was performed on 20 patients with work-related CRLE who received ATI. It evaluated their ability to return to work and their quality of life. Using Australian Medical Association and Medicare Benefits Schedule item numbers, an estimated cost comparison was made between non-operative ATI and the current surgical treatment.
Results: Of 20 workers (11 M/ 9 F) (mean age 47.1 years), at the time of ATI, 11 (55%) had limited work capacity, and 9 (45%) were absent from work. 80 % of workers with CRLE for more than 12 months returned to full duty (mean 6.6 months) following ATI. Estimated treatment cost and return to full duty duration were less with ATI than with surgery.
Conclusion: Overall treatment success with ATI is promising, with earlier return to work, improved functionality and cost-effectiveness compared to surgery.
TLR4-mediated macropinocytosis promotes smooth muscle cell- derived foam cell formation
Authors: Chen Xue , Kang Yulai , Li Jingcheng , Tang Chunhua , Guo Lu , Zhang Lili 
Published: August 2023

Abstract
Objective: To investigate whether vascular smooth muscle cells (VSMCs) take up lipids via the Toll-like receptor 4/spleen tyrosine kinase (TLR4/Syk) mediated macropinocytosis pathway and promote the formation of lipid droplets in cells. Methods: Primary wild-type (WT) and TLR4 gene-knockout (TLR4−/−) VSMCs were isolated by an adherent tissue culture method. Changes in VSMCs uptake of DiI-labelled native low-density lipoprotein (DiI-nLDL) and Lucifer yellow (LY) were detected by flow cytometry. The colocalization of boron-dipyrromethene (BODIPY)-labelled Neutral lipid and LY-labelled macropinosomes in VSMCs was observed by confocal microscopy.
Results: Lipopolysaccharide (LPS)induced nLDL uptake by WT VSMCs, resulting in the accumulation of lipid droplets and the formation of WT VSMC-derived foam cells. Stimulation of WT VSMCs with 200 ng/ml LPS resulted in increase in LY and DiI-nLDL uptake, lipid droplets and macropinocytosis were colocalized in WT VSMCs, but this above effect was significantly reduced in WT VSMCs after treatment with macropinocytosis inhibitors, and was not observed in TLR4−/− VSMCs. WT VSMCs showed a decrease in LY and DiI-nLDL uptake after treatment with 2 µmol/L R788.
Conclusion: LPS induces nLDL uptake by VSMCs via the macropinocytosis pathway to promote lipid droplet aggregation and the formation of VSMC-derived foam cells. TLR4/Syk is an important molecule associated with VSMC uptake of nLDL through the macropinocytosis pathway.
Forest Types for Afforestation: Benefits for Carbon Sequestration and Food Systems under Stringent Climate Mitigation
Authors: Hasegawa Tomoko , Fujimori Shinichiro , Ito Akihiko , Takahashi Kiyoshi 
Published: August 2023

Abstract
Afforestation is considered as a major carbon dioxide removal (CDR) technology, but if implemented inappropriately in large scale, can negatively affect food and land systems. Here we quantitatively showed how a forest-type selection in afforestation would enlarge the global carbon sequestration and affect global food and land systems and sustainability. We found that i) afforestation, if its forest type is carefully selected, would increase the carbon sequestration by 25% at maximum compared to the indigenous type of forest while reducing food insecurity. At the same time, ii) compared to bioenergy with carbon capture and storage, afforestation would affect similarly or even more negatively the economy, energy, food, and land systems due to less land efficiency of carbon removal, leading higher price of energy and food, more land expansion for carbon removal and higher food insecurity. This suggests a necessity of a careful selection of forest types in afforestation and at the same time an importance of determining a best mix of land-based CDR technologies to achieve the long-term stringent climate goal without compromising the sustainability.
Effect of radiation therapy on lymph node fluorescence in head and neck squamous cell carcinoma after intravenous injection of indocyanine green: A prospective evaluation
Authors: digonnet antoine , vankerkhove Sophie , Moreau Michel , Dekeyser Cécile , Quiriny Marie , Willemse Esther , aubain Nicolas de saint , cappello Matteo , Donckier vincent , bourgeois pierre 
Published: August 2023

Abstract
Background:
Indocyanine green (ICG)-guided surgery has proven effective in the identification of neoplastic tissues. The effect of radiation therapy (RT) on lymph node fluorescence after intravenous injection of ICG has not been addressed yet. The objective of this study was to evaluate the influence of RT on node fluorescence during neck dissection in head and neck squamous cell carcinoma (HNSCC).
Results:
Twenty-four patients with planned neck dissection for HNSCC were prospectively enrolled. Eleven were included without previous radiation therapy and 13 after RT. ICG was intravenously administered in the operating room. The resected specimen was analyzed by the pathology department to determine the status of each resected lymph node (invaded or not). The fluorescence of each resected node was measured in arbitrary units (AU) on paraffin blocs. The surface area (mm2) of all metastatic nodes and of the invaded component were measured. The values of these surface areas were correlated to fluorescence values.
A total of 707 nodes were harvested, the mean fluorescence of irradiated nodes (n=253) was 9.2 AU and of non-irradiated nodes (n=454) was 9.6 AU (p=0.63). Fifty nodes were invaded, with a mean fluorescence of 22 AU. The mean fluorescence values in the invaded irradiated nodes (n=20) and the invaded non-irradiated nodes (n=30) were 19 AU and 28 AU (p=0.23), respectively. The surface area of metastatic nodes and of the invaded component were correlated to fluorescence values even after previous RT (p=0.02).
Conclusion:
No differences were observed between the fluorescence of irradiated and non-irradiated lymph nodes, including invaded nodes. ICG-guided surgery can be performed after failed RT.
Enhanced 3D visualization based on the inverse modeling of non-parallel 2D ERT profiles: An approach for assessing anomalous zone
Authors: Mishra Utsav , Bakshi Ansuman , Mandal Animesh 
Published: August 2023

Abstract

Three-dimensional resistivity models based on observed data in a grid pattern aids in understanding the volume and positional relations of subsurface regions having resistivity contrast with respect to the surrounding medium. However, acquiring ERT profiles in a regular 2D grid is labor intensive, time-consuming, and costly process. To overcome these constraints, pseudo 3D visualizations generated from multiple parallel 2D resistivity profiles are often used. Moreover, acquiring parallel 2D resistivity profiles in a grid is also often constraints by logistical challenges such as presence of utilities, waste mounds waterlogged patches etc. Therefore, in this work, a methodology is devised for creating a 3D database from inverse modeling results of multiple 2D resistivity profiles oriented in random direction in a region. In this approach, the azimuths of randomly oriented profiles are measured and utilized for introducing the y-coordinate. The proposed methodology is tested on 2D ERT datasets acquired at a chromite ore processing residue (COPR) waste dumping site.3D models generated through this approach has provided an enhanced visualization of conductive anomalous zones (i.e., < 15 Ohm.m) originating from the waste dump site. Further, the results obtained from the proposed methodology is compared with the quasi-3D volume generated by applying the 3D inversion algorithm on the compiled 2D ERT profiles datasets. The 3D visualization based on the proposed approach shows better correlation with anomalous zones present in the 2D inversion results of individual profiles. Thus, the methodology provides an efficient tool for creating 3D visualization models, and can be generalized for existing approaches...
Examining sustainable development goals: Are developing countries advancing in sustainable energy and environmental sustainability?
Authors: Hossin Md Altab , Abudu Hermas , Sai Rockson , Agyeman Stephen Duah , Wesseh Presley K. 
Published: August 2023

Abstract
Research findings suggest that understanding the complex interplay between sustainable indicators requires comprehensive intelligence and modeling. However, the availability of unified database for these purposes remains a challenge. This study contributes new insights to the existing literature utilizing 32 indicators of sustainable development goals (SDGs) to compute six composite indicators. The study applies dynamic panel analysis (generalized method of moments) and the Probit model to investigate the study in ten selected developing countries, using data from 2012 to 2020. The results indicate that since the adoption of SDGs in 2015, low and middle-income countries have made progress in improving water and sanitation sustainability, leading to enhanced environmental quality. Additionally, middle-income countries have shown greater advancements in sustainable energy compared to low-income countries, contributing to overall environmental sustainability. However, middle-income countries lag behind in sustainable agriculture when compared to their low-income counterparts. These findings highlight the potential adverse effects of SDG policy strategies, particularly in middle-income countries, where agriculture-based energy sources such as biomass and biofuels negatively impact sustainable agriculture outcomes. Furthermore, the study reveals a negative impact of carbon footprint on sustainable agriculture in developing countries since the adoption of the SDGs. Based on these findings, the study puts forward policy recommendations, including the development of unified database to support research on SDGs.
A new modified laparoscopic lateral suspension with mesh for apical and anterior pelvic organ prolapse: clinical analysis of 51 cases
Authors: Xu Sheng , Nie Jingya , Zeng Wenjie , Chen Xiaoyan , Bai Xuechai , Yu Yan 
Published: August 2023

Abstract
Background: To evaluate the efficacy of a modified laparoscopic lateral suspension with mesh (mLLSM) in patients with apical and anterior pelvic organ prolapse.
Methods: All patients diagnosed with apical and anterior pelvic organ prolapse underwent a modified laparoscopic lateral suspension with mesh (mLLSM). Perioperative parameters including surgical time, blood loss and complications were recorded. At the minimal 12-month follow-up, primary outcome measures included both anatomical and functional points. The anatomical cure rate was evaluated using the Pelvic Organ Prolapse Questionnaire (POP-Q) assessment. Patient satisfaction was evaluated using Questionnaires.
Results: Mean surgical time was 91.56 ± 15.33 min; mean estimated blood loss was 55.42 ± 36.73 ml; No intraoperative complications were noted in the perioperative period. After a minimal 12-month follow-up period, rates of anatomical success and subjective satisfaction were 96.08% and 94.12%, respectively. Symptom severity and quality of life also improved significantly.
Conclusion: We found mLLSM be a safe and effective treatment for patients suffering apical and anterior pelvic organ prolapse. We found mLLSM to result in excellent outcomes and fewer mesh complications, underscoring its potential as an alternative treatment option for the management of apical and anterior pelvic organ prolapse.
The predictive effect of red cell distribution width on hypertensive disorders of pregnancy: A propensity score-matching study
Authors: Lv Bin , Han Lin , Chen Yali , Liu XH , Chen Hengxi 
Published: August 2023

Abstract
Background
Red cell distribution width (RDW) is found to be related to inflammation and oxidative stress, and gradually used as a predictor of in cardiovascular diseases. This study aimed at investigated the predicting effects of RDW on hypertensive disorders of pregnancy (HDP).
Methods
This is a retrospective, propensity score-matching (PSM) cohort study. Cohort 1 studied patients with gestational hypertension/chronic hypertension (named the simple hypertension group), while cohort 2 studied patients with preeclampsia (including preeclampsia, severe preeclampsia, and chronic hypertension patients with preeclampsia). Univariate logistic regression analysis was conducted on variables that were not corrected after PSM. Receiver operating characteristic (ROC) curves were used to explore the predictive ability of RDW for HDP.
Results
After 1:1 PSM, 1546 women admitted to West China Second University Hospital between January 2021 and January 2022 were enrolled in the analysis, including 420 in the simple hypertension group, 353 in the preeclampsia group, and the remaining 773 in the control group. Univariate logistic regression analysis showed that although there was no significant correlation between RDW and simple hypertension (gestational hypertension and chronic hypertension), there was a significant correlation between RDW and preeclampsia. The ROC curve analysis showed a diagnostic accuracy of RDW coefficient variation (RDWCV) for severe preeclampsia at 72%, with a cutoff value of ≥ 14.65% and AUC = 0.696, and a diagnostic accuracy of RDW standard deviation (RDWSD) for severe preeclampsia at 76%, with a cutoff value of ≥ 51.85fl and AUC = 0.661.
Conclusion
RDW is significantly correlated with preeclampsia and had a good predictive effect on severe preeclampsia (AUC = 0.7). RDW has the advantages of being fast, low-cost, and easily available, so it can be routinely used for predicting preeclampsia in clinical practice.
Plasma Inflammation and Plasticity Biomarkers Associated with Future Suicidal Ideation and Depression Severity in Mood Disorders: A Six-Month Prospective Study
Authors: Lengvenyte Aiste , COGNASSE Fabrice , Hamzeh-Cognasse Hind , Sénèque Maude , Strumila Robertas , Olié Emilie , Courtet Philippe 
Published: August 2023

Abstract
Discerning potential associations between plasma biomarkers and the evolution of suicidal ideation (SI) in mood disorders could advance our understanding of disease progression. We evaluated a cohort of 149 mood disorder patients, assessing 32 plasma soluble proteins implicated in neuroplasticity and inflammation at baseline and six-month follow-up. The primary outcome was the occurrence of suicidal ideation during the six-month follow-up. Secondary outcomes included the presence of suicidal ideation and depression severity at six-month follow-up. We employed Principal Component Analysis and Elastic Net regression for feature extraction and selection. Selected markers were then examined in covariate-adjusted regression models. Our results showed that high baseline levels of interferon-γ and a pro-inflammatory principal component score were linked to the occurrence of SI during follow-up. At the six-month point, SI presence was associated with elevated interferon-γ, interleukin-1β, and diminished serotonin levels, with the latter connection dissipating post-adjustment. High interferon-γ, and low orexin-A at baseline were associated with increased depression severity at follow-up, with specific associations between interferon-γ and anxious symptoms, and orexin-A and atypical depressive symptoms. These findings identify elevated interferon-γ, interleukin-1β, and reduced orexin-A as potential biomarkers associated with the occurrence of SI and severity of depression in mood disorders over six months. With further validation in larger cohorts, these insights could enable more personalized risk assessment and intervention strategies, representing a step forward in improving therapeutic outcomes.
Post-treatment peripheral blood markers as predictive indicators for immune related thyroid dysfunction and outcome in non-small cell lung cancer patients receiving PD-1 inhibitor
Authors: Liu Jinyu , Qin Boyu , Zhang Xiaoxuan , Cai Le , Bai Nan , Tang Zhihui , Chen Mengli , Wang Tianlin 
Published: August 2023

Abstract
Methods
A retrospective study of 133 non-small cell lung cancer (NSCLC) patients treated with PD-1 inhibitors was performed. Medical records and haematological data were collected. The trends of NLR and PLR during treatment were analysed by the Mann-Whitney U test. Logistic regression was used to investigate the association of irTD, all immune-related adverse events (irAEs) with pre- and post-treatment NLR and PLR. The relationship of these predictive factors with tumour response and survival was estimated using the Chi-squared test or Kaplan‒Meier analysis.
Results
30 patients (22.6%) developed irTDs. The NLR showed a significant decreasing trend during treatment. Patients with previous thyroid diseases and lower NLR3w (NLR < 2.3) were significantly associated with irTDs. Pretreatment lower NLR and lower NLR3w were associated with irAEs. There was no difference in tumor response between patients with and without irTDs. PFS was prolonged in patients with irTDs and with lower PLR7w.
Conclusions
IrTD onset is common in patients receiving PD-1 inhibitors and is associated with prolonged PFS. The NLR3w after receiving PD-1 inhibitors appears to be a factor for identifying NSCLC patients at high-risk of occurring irTD. Post-treatment lower PLR is associated with better PFS.
Enhancing ReaxFF for Molecular Dynamics Simulations of Lithium-Ion Batteries: An interactive reparameterization protocol
Authors: Chiavazzo Eliodoro , De Angelis Paolo , Cappabianca Roberta , Fasano Matteo , Asinari Pietro 
Published: August 2023

Abstract
Lithium-ion batteries (LIBs) have become an essential technology for the green economy transition, as they are widely used in portable electronics, electric vehicles, and renewable energy systems. The solid-electrolyte interphase (SEI) is a key component for the correct operation, performance, and safety of LIBs.
The SEI arises from the initial thermal metastability of the anode-electrolyte interface, and the resulting electrolyte reduction products stabilize the interface by forming an electrochemical buffer window.
This article aims to make a first -- but important -- step towards enhancing the parametrization of a widely-used reactive force field (ReaxFF) for accurate molecular dynamics (MD) simulations of SEI components in LIBs.
To this end, we focus on Lithium Fluoride (LiF), an inorganic salt of great interest due to its beneficial properties in the passivation layer.
The protocol relies heavily on various Python libraries designed to work with atomistic simulations allowing robust automation of all the reparameterization steps.
The proposed set of configurations, and the resulting dataset, allow the new ReaxFF to recover the solid nature of the inorganic salt and improve the mass transport properties prediction from MD simulation.
The optimized ReaxFF surpasses the previously available force field by accurately adjusting the diffusivity of lithium in the solid lattice, resulting in a two-order-of-magnitude improvement in its prediction at room temperature.
However, our comprehensive investigation of the simulation shows the strong sensitivity of the ReaxFF to the training set, making its ability to interpolate the potential energy surface challenging.
Consequently, the current formulation of ReaxFF can be effectively employed to model specific and well-defined phenomena by utilizing the proposed interactive reparameterization protocol to construct the dataset.
Overall, this work represents a significant initial step towards refining ReaxFF for precise reactive MD simulations, shedding light on the challenges and limitations of ReaxFF force field parametrization.
The demonstrated limitations emphasize the potential for developing more versatile and advanced force fields to upscale ab initio simulation through our interactive reparameterization protocol, enabling more accurate and comprehensive MD simulations in the future.