bluuebunny/crossref_metadata_2025_split huggingface dataset:
The role of adenocarcinoma subtypes and immunohistochemistry in predicting lymph node metastasis in early invasive lung adenocarcinoma
Authors: Xue Mengchao , Liu Junjie , Li Zhenyi , Lu Ming , Zhang Huiying , Liu Wen , Tian Hui 
Published: June 2023

Abstract
Background:
Identifying lymph node metastasis areas during surgery for early invasive lung adenocarcinoma remains challenging. The aim of this study was to develop a nomogram mathematical model before the end of surgery for predicting lymph node metastasis in patients with early invasive lung adenocarcinoma.
Methods:
A total of 522 patients with invasive lung adenocarcinoma between January 2020 and January 2022 were reviewed at our center and randomized into a training cohort and a validation cohort in a 7:3 ratio. Their histopathological features were extracted from paraffin sections, while frozen sections were reviewed to confirm the concordance between frozen and paraffin sections. A prediction model and a nomogram were developed using one-way and multi-way logistic regression analysis. The nomograms were self-lifted for internal validation and external validation. Recipient operating characteristic (ROC) curves were used to assess the discrimination ability of the model. Calibration capability was assessed using the Hosmer-Lemeshow test and calibration curves. The clinical utility of the nomogram was assessed using decision curve analysis (DCA). The consistency index (C-index) was applied to assess the accuracy and discriminative power of the predictions.
Results:
The overall incidence of lymph node metastasis was 13.23% (61/461). Six indicators were finally determined to be independently associated with lymph node metastasis. These six indicators were: age (P<0.001),SA (P=0.008); CA125 (P=0. 042); mucus composition (P=0.003); Napsin A (P=0.007); and CK5/6 (P=0.042). The area under the ROC curve (AUC) was 0.843 (95% CI: 0.779-0.908) in the training cohort and 0.838 (95% CI: 0.748-0.927) in the validation cohort. the P-value of the Hosmer-Lemeshow test was 0.0613 in the training cohort and 0.8628 in the validation cohort. the bias of the training cohort corrected C-index was 0.8444 and the bias-corrected C-index for the validation cohort was 0.8375. demonstrating that the prediction model has good discriminative power and good calibration.
Conclusions:
The column line graphs created showed excellent discrimination and calibration to predict lymph node status in patients with ≤2 cm invasive lung adenocarcinoma. In addition, the predictive model has predictive potential before the end of surgery and can inform clinical decision making.
Determinants of honeybee hive survival within cities and its use to monitor urban biodiversity: a Canadian study
Authors: Young Mischa , MacGregor Gavin , Tanguay Georges A. , Rajaonson Juste 
Published: June 2023

Abstract

Cities are shown to provide favourable conditions for western honeybees (Apis mellifera) by protecting them from agricultural pesticides and offering a greater diversity of flora. Nevertheless, bee populations continue to decline in many urban areas, posing threats to plant reproduction and urban biodiversity, especially as many now promote urban beekeeping as part of their conservation efforts. While current research primarily focuses on the causes of bee colony collapse, including pesticide exposure, climate change, and habitat fragmentation, little attention is dedicated to urban apiculture and factors associated with the survival of honeybees within cities. Here, we analyse data from 3,694 honeybee hives in Montreal and Toronto to assess the effect of urban and environmental factors on hive survival. We find ground-level ozone concentrations, elevation, and the number of surrounding hives to be negatively associated with hive survival, which may point towards an issue of hive saturation. Conversely, vegetation density and the COVID-19 pandemic are positively associated with the likelihood of hive survival, emphasizing the effect of urban air pollution. These findings highlight the need for urban planners to consider neighborhood-scale environmental factors to support conservation efforts and identify potential venues for enhancing bee survival within cities beyond existing urban beekeeping initiatives.
An association study of m6A methylation with major depressive disorder
Authors: Li Ying , Miao Peidong , Li Fang , Huang Jinsong , Fan Lijun , Chen Qiaoling , Zhang Yunan , Yan Feng , Gao Yan 
Published: June 2023

Abstract

Objective
To study the relationship between N6-methyladenosine (m6A) genes and Major Depressive Disorder (MDD).
Methods
GEO database was used to obtain the chip data and clinical information of dataset GSE98793, and the differentially expressed m6A genes was found through the analysis of the differentially expressed genes between the MDD group and the healthy control group. Random Forest method was used for screening and modeling verification. After grouping by Unsupervised Clustering Algorithm, the expression of differences between groups was calculated for further verification. The Principal Component Analysis method was used to verify again. The relationship between the differentially expressed m6A gene and immune cells、IL gene family、 NOD-like protein receptor family was calculated. Finally, the differentially expressed m6A gene was being analyzed separately.
Results
The differentially expressed m6A genes were ELAVL1 and YTHDC2. Through Random Forest screening and modeling verification, they are closely related to MDD. Unsupervised Clustering Algorithm clustering further verifies the above results. Principal Component Analysis verified the reliability of the clustering results. ELAVL1 and YTHDC2 are closely related to immune cells、 IL gene family、 NOD-like protein receptor family. Results of single gene analysis: Compared with YTHDC2, ELAVL1 was more closely related to MDD.
Conclusion
Among all m6A genes, ELAVL1 is closely related to depression, and is an important gene regulating MDD.
Effectiveness of the Biopsychosocial Model Versus the Measurable Neurophysiological Model in Patients With Temporomandibular Joint Arthropathies
Authors: Catunda Ivson Souza , Matos Marcelo Freire , Ferreira Jessica Caroline Alfonso , Learreta Jorge Alfonso , Vasconcelos Belmiro Cavalcanti do Egito 
Published: June 2023

Abstract
OBJECTIVE
To evaluate the efficacy patients treated based on the biopsychosocial model, with a Michigan-type myorelaxant/stabilization splint combined with alternative therapies, and Neurophysiological model with intermediate Occlusal Devices in patients with temporomandibular joint (TMJ) arthropathies based on two different treatment philosophies.
PATIENTS AND METHODS:
This was an interventional and longitudinal study of the randomized clinical trial with blinding. The survey was approved by the CEP under: CAAE 66446216.6.0000.5207. Statistical analyzes were performed based on the selection of 43 patients with diagnosis of temporomandibular arthropathies after examination of the Diagnostic Criteria for Temporomandibular Dysfunction (DC / TMD) and assistance with images such as CT scans and magnetic resonance imaging. The patients were divided into two groups: G1-Biopsychosocial group and G2-Neurophysiological group. The variables studied were pain, mandibular function, need for alternative therapies and physiological parameters of muscle recruitment and masticatory cycle, measured by electromyography and kinesiography, respectively. All patients were followed for a minimum period of 06 to 09 months.
RESULTS
The results were favorable to both treatment groups in relation to the decrease in pain symptomatology, but were more consistent and remained smaller at the end of the evaluation in the neurophysiological group. Also significant was the difference in muscle recruitment during treatment with the G2 and less use of alternative therapies for pain control compared to the Biopsychosocial group.
CONCLUSIONS
Even in the case of a preliminary and unpublished study, this research provides strong indications of the benefit of the treatment with the Neurophysiological model in patients with TMJ arthritis, as well as the improvement of the symptomatic aspects, there was a clear improvement in muscle recruitment patterns, masticatory cycle, bone marrow regeneration and joint disc recapture. Further research with anti-etiologic treatment model should be performed to confirm these results.
CLINICAL RELEVANCE:
This innovative research highlights a new model for diagnosing and treating TMJ pathologies beyond traditional palliative treatment measures, enabling a more assertive anti-etiological treatment.
Pituitary Diseases and COVID-19 Outcomes in South Korea: A Nationwide Cohort Study
Authors: Ha Jeonghoon , Kim Kyong Min , Lim Dong-Jun , Song Keeho , Seo Gi Hyeon 
Published: June 2023

Abstract
Background
The pituitary gland is either directly or indirectly impacted by SARS-CoV-2 infection. As a consequence of SARS-CoV-2 infection, hypothalamic-pituitary dysfunction or pituitary apoplexy can occur. This study aimed to investigate severe COVID-19 outcomes and COVID-19-related mortality in patients with underlying pituitary disease in Korea using a nationwide cohort database.
Methods
Data required for this study were obtained from the Health Insurance Review and Assessment Service of Korea. Patients with SARS-CoV-2 infection between January 2020 and December 2021 were divided into the following three groups and analyzed: Group A, those who were hospitalized for SARS-CoV-2 infection without underlying pituitary disease (n = 725,170); Group B, those who were hospitalized for SARS-CoV-2 infection with underlying pituitary disease without exposure to systemic steroids (n = 1,509); Group C, patients with underlying pituitary disease and exposure to systemic steroids (n = 365). Differences in severe COVID-19, requirement for oxygen therapy, intensive care unit admission, application of invasive ventilation or use of extracorporeal membrane oxygenation, and COVID-19-related death between groups were then analyzed.
Results
Group C had the highest rates of hospitalization after COVID-19 infection (82.2%) and mortality within 30 days of infection (6.8%). Group B had 1.3-fold increase in severe COVID-19 outcome compared to Group A. Group C had 1.8-fold and 1.3-fold increase in severe COVID-19 outcome compared to Group A and Group B, respectively. Group C also had 2.34 and 3.24 times higher mortality rate within 30 days of COVID-19 infection than in Group A and Group B, respectively.
Conclusion
In conclusion, patients with pituitary disease who are receiving systemic steroids have poorer outcomes and higher mortality associated with COVID-19. Therefore, thorough COVID-19 infection control is required in these patients.
Perioperative, functional, and oncologic outcomes after ablation or partial nephrectomy for solitary renal tumors: a systematic review and meta-analysis of comparative trials
Authors: Wen Zhi , Wang Li , Huang Jing , Liu Yang , Chen Cai-xia , Wang Chong-jian , Chen Lin-lin , Yang Xue-song 
Published: June 2023

Abstract
Objectives
The perioperative, functional, and oncological outcomes of patients with solitary small renal tumors(SRMs) treated with ablation(AT) or partial nephrectomy(PN) remain controversial. The aim of this study was to compare the outcomes of these two surgical techniques.
Methods
In April 2023, we conducted a literature search in several widely used databases worldwide, including PubMed, Embase, and Google Scholar. Review Manager was used to compare various parameters. The study was registered with PROSPERO (CRD42022377157).
Results
Our final meta-analysis included 13 cohort studies with a total of 2,107 patients. Compared to partial nephrectomy (PN), ablation (AT) had shorter hospital stays (WMD − 2.37 days, 95% CI -3.05 to -1.69; p < 0.00001), shorter operating times (WMD − 57.06 min, 95% CI -88.92 to -25.19; p = 0.0004), less postoperative creatinine increases (WMD − 0.17 mg/dL, 95% CI -0.29 to -0.05; p = 0.006), less postoperative glomerular filtration rate decreases (WMD − 9.84 mL/min/1.73 m2, 95% CI -14.25 to -5.44; p < 0.0001), less postoperative new-onset chronic kidney disease (OR 0.33, 95% CI 0.16 to 0.71; p = 0.005), and less intraoperative blood loss (WMD − 285.92 ml, 95% CI -428.44 to -143.40; p < 0.0001). The transfusion rate was lower in the ablation group (OR 0.17, 95% CI 0.06 to 0.51; p = 0.001). The risk of local recurrence was higher in the ablation group (OR 2.96, 95% CI 1.27 to 6.89; p = 0.01), while the risk of distant metastasis was higher in the partial nephrectomy group (OR 2.81, 95% CI 1.28 to 6.18; p = 0.01). The intraoperative and postoperative complication rates were lower in the ablation group (OR 0.23, 95% CI 0.08 to 0.62; p = 0.004 and OR 0.21, 95% CI 0.11 to 0.38; p < 0.00001, respectively). However, overall survival, postoperative dialysis rate, and tumor-specific survival were not different between the two groups.
Conclusions
Our data suggest that ablation and partial nephrectomy are equally safe and effective in the treatment of small solitary kidney tumors and are better options for patients with poor preoperative physical condition or poor renal function.
Catalytic potential of silicon nanocages for CO2 reduction reaction to CO, CH4, HCOOH, HCHO and CH3OH production
Authors: Li XiLan , Wang Jing , Wei XiaoLi 
Published: June 2023

Abstract
In this study, the catalytic abilities of on Ni-C50 and Ni-Si50 nanocages for CO2 reduction reaction to CO, CH4, HCOOH, HCHO and CH3OH creation are examined by theoretical methods. The possible mechanisms for CO2 reduction reaction are examined and ΔGreaction of reaction steps to produce the CO, CH4, HCOOH, HCHO and CH3OH on Ni-C50 and Ni-Si50 nanocages are calculated. Results indicated that, the rate limiting step for CH4 and CH3OH production is the nanocage-*CO → nanocage-*CHO on Ni-C50 and Ni-Si50 nanocages. Results shown that the overpotential of CO2 reduction reaction on Ni-C50 and Ni-Si50 nanocages are lower than various metal catalysts. It can be concluded that the Ni-Si50 nanocage has more negative ΔGreaction values and lower free barrier energy than Ni-C50 nanocage to process the reaction steps of CO2 reduction. Results demonstrated that the overpotential for CH4 and CH3OH production are lower than HCOOH and HCHO creation on Ni-C50 and Ni-Si50 nanocages. Finally, the Ni-C50 and Ni-Si50 nanocages are proposed as novel catalysts for CO2 reduction reaction to produce the CO, CH4, HCOOH, HCHO and CH3OH species.
Identification and sensitivity analysis of vehicle body compound vibration
Authors: Wang Yuanshao , Su Xiaoping , Zang Liguo 
Published: June 2023

Abstract
The identification and sensitivity analysis of compound vibration is the basis of vibration control of vehicle body. In the paper, the mechanism and key influencing factors of compound vibration are analyzed by establishing the dynamic mathematical model with 11 degrees of freedom, and the experiment method for identifying compound vibration is put forward. The sensitivity of influencing factors of compound vibration of the body is analyzed by establishing a rigid-flexible coupling dynamic simulation model. The results show that vertical vibration, roll vibration and pitch vibration are the main forms of the vehicle body vibration, the key influencing factor of vertical vibration is rear suspension stiffness, the key influencing factors of roll vibration are lower control arm length and rear suspension damping, front suspension stiffness and rear suspension stiffness are the key influencing factors of pitch vibration. The research results provide a theoretical basis and reference for mastering the composition and formation mechanism of compound vibration of vehicle body.
Apical transportation induced by reciprocating files in removal of GuttaCore and single- cone from curved root canals: A micro-CT analysis
Authors: Hassan Regir , Ibrahim Abdulkareem Ramadhan 
Published: June 2023

Abstract
Objectives: Endodontic instruments tend to diverge from the long axis of root canal during preparation. This tendency increases with increasing canal curvature and retreatment cases. The purpose of this study was to assess and compare the apical transportation induced by different reciprocating single file systems in curved canals obturated with GuttaCore and single-cone obturation techniques using microcomputed tomography.
Materials and methods: Sixty-four mandibular molar teeth with root canal systems that have two independent severely curved canals in the mesial root have been chosen for the current study. The root canals have been instrumented with WaveOne Gold primary file and obturated by Single-cone and GuttaCore obturation techniques. First micro-CT scan has been taken and the samples have been subdivided into 4 groups for each obturation technique (n=16 canals each group) according to the retreatment system: Group R: Reciproc (R25 file), group RB: Reciproc Blue (R25 file), group WO: WaveOne (Primary file 25) and group WOG: WaveOne Gold (Primary file 25). After the retreatment procedures, the second micro-CT scan has been taken and then the apical transportation at 2, 3 and 4 mm from the apex were calculated.
Results: Apical transportation caused by Reciproc and WaveOne groups was significantly higher than the Reciproc Blue and WaveOne Gold groups.
Conclusion: Under the circumstances of the current study, Reciproc and WaveOne files caused higher apical transportation than the Reciporc Blue and WaveOne Gold files. The lowest apical transportation occurred at 2 mm from the apex.
Clinically relevant: The use of Reciproc blue and WaveOne Gold files can be considered safer in the removal of GuttaCore and single-cone obturation materials
Establishment of a metabolite prediction model for the risk of diabetic nephropathy in Chinese type 2 diabetic population
Authors: Su Jing-Yang , Chen Yong-Jie , Zhang Wei , Zhang Rui , Liu Tong-Feng , Yang Xi-Lin , Fang Zhong-Ze 
Published: June 2023

Abstract
Objective
This study aimed to examine the relationship between different plasma metabolites and the risk of diabetic nephropathy (DN), and to build a risk prediction model for DN in Chinese type 2 diabetes patients.
Methods
A hospital-based cross-sectional study was conducted in this study. According to medical records, 743 patients from a tertiary hospital were retrieved and divided into diabetic nephropathy group (DN group) and non-diabetic nephropathy group (non-DN group). The levels of metabolites such as amino acids and acylcarnitine in plasma were assayed by Laser Counter Measures System (LC-MS). Then partial least squares regression was used to rank the importance of these metabolites. Receiver operating characteristic (ROC) curves were made for the variables at the top of the importance list. Area under curve (AUC) was used to evaluate the performance of the prediction model.
Results
Of 743 hospitalized patients with type 2 diabetes, 145 of whom had DN. Compare to non-DN group, DN group had higher systolic blood pressure (SBP) (P = 0.001), high-density lipoprotein cholesterol (HDL-C) (P = 0.01) and low-density lipoprotein cholesterol (LDL-C) (P = 0.042), and more stroke patients (P < 0.001) and diabetic retinopathy (DR) patients(P < 0.001). Finally, a risk prediction model including citrulline, leucine, tyrosine, valine, propionyl carnitin (C3), palmitoylcarnitine (C16) was obtained with an AUC of 0.709(95% CI:0.626–0.793).
Conclusions
A DN risk prediction model composed of 6 plasma metabolites is a simple and effective tool to detect the risk of DN in Chinese diabetic patients.
Hangeshashinto for prevention of oral mucositis in patients undergoing hematopoietic stem cell transplantation: a randomized phase II study
Authors: Yoshimatsu Masako , Kawashita Yumiko , Soutome Sakiko , Murata Maho , Sawayama Yasushi , Kurogi Tadafumi , Nakao Noriko , Miyazaki Yasushi , Umeda Masahiro , Ukai Takashi 
Published: June 2023

Abstract

Purpose
Oral mucositis (OM) is a side effect associated with cancer treatment. Hangeshashinto (HST), a Kampo medicine, was originally prescribed to treat diarrhea, gastritis, and stomatitis. Several reports have described the effects of HST for OM induced by chemotherapy in patients with gastric or colorectal cancer. In this study, the effects of HST for prevention of OM were investigated in patients undergoing hematopoietic stem cell transplantation (HSCT).
Methods
Thirty patients scheduled to receive allogeneic grafts were enrolled from July 2020 to December 2021. They were randomly assigned to two groups and instructed to wash their mouth with or without HST three times a day. The observation period was from the initiation date of conditioning regimen to the date of engraftment, and the end point was the incidence of OM.
Results
Eighteen patients developed OM, the most severe of which was Grade (G)3. There was no significantly difference in the incidence of OM between the HST group and the control group. However, a negative correlation tended to be observed between the duration using HST use and the duration of OM (G2–3: P = 0.027, G3: P = 0.047).
Conclusions
The present study demonstrated that HST use did not clearly inhibit onset of OM but showed a tendency to inhibit OM exacerbation. However, further studies are necessary to fully understand the effects of HST on OM in patients undergoing HSCT.
Trial registration
This study was registered in the Japan Registry of Clinical Trials on 7 May 2020 (jRCTs071200012).
Ring artifacts suppression for X-ray CT images by fusion of dual-domain images based on improved UNet
Authors: Tan Dalong , Wu Yapeng , He Penghui , Hai Chao , Sun Liang , Yang Min 
Published: June 2023

Abstract

The ring artifact is one of the typical artifacts in X-ray Computed Tomography (CT) images. The existence of ring artifacts will reduce the image quality, change the structure and details of the image, and affect the interpretation of image information. How to effectively suppress ring artifacts has always been an important research direction in the industrial and medical CT fields. In this research, three experiments of CT scanning were designed by using the microfocus cone-beam CT system, we take the real CT image sequences as datasets, and design customized loss functions according to the characteristics of the ring artifacts based on the structure of UNet, in addition, a model for suppressing ring artifacts is designed both in the slice domain and sinogram domain. Then, the outputs of the dual domain are fused using the Nonsubsampled Contourlet Transform algorithm. The network model is trained and tested using the real datasets, then Peak Signal-to-Noise Ratio (PSNR), Structural Similarity (SSIM), and mean squared error (MSE) are used as the evaluation indicators of image quality. Finally, the proposed method is compared with the typical algorithms of artifact suppression, and the experimental results show that the method proposed in this research can protect the structure information in CT images while suppressing the ring artifacts to the greatest extent, and the PSNR, SSIM, and MSE of the processed images can respectively reach 39.3 dB, 98.9 and 5.2×e− 4.