bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hospital cost analysis of Chinese patients with diabetes, 2015-2019
Authors: Fang Ziwei , Chang Ruimin , Zhang Lijun , Cao Wenjun , Li Shaoxia , Wang Yujiang , Zheng Yuyu , Zheng Jianzhong 
Published: November 2022

Abstract
Background
To examine the length of stay, hospitalization cost, and cost influencing factors among the Chinese inpatient with diabetes mellitus (DM).
Methods
This is a retrospective study that collected data from the Hospital Information System of a tertiary A general hospital in China, we analyzed 9186 cases of diabetes (type 1 diabetes and type 2 diabetes) during 2015–2019.
Results
The number of inpatients had increased but the per capita hospitalization costs had decreased in the study period. The mean (SD) length of hospital stay among the participants was (15.13 ± 5.66) days. The average per capita hospital cost of 9186 hospitalized patients with diabetes was ¥8689.98. The factors affecting the hospitalization costs of diabetic patients according to the degree of influence from large to small were length of stay, number of complications, age, severe illness, type of diabetes, surgical treatment, consistent admission and discharge, department, route of admission, and payment method.
Conclusions
The length of hospital stay was the main influencing factor of hospitalization costs of diabetic patients. The medical security system and other measures should be further improved to minimize the hospitalization costs of diabetic patients.
Identification of key genes in hepatitis B and Pan-Cancer Analysis of RHOB
Authors: Huang Zhongquan , Chen Zhuoni , Wang Runyi , Li Yuqing 
Published: November 2022

Abstract
Objective: This study aimed to identify the key genes involved in the pathological process of HBV(Hepatitis B Virus).
Method and materials:GSE83148 in GEO was selected to identify the key modules of HBV by WGCNA, and the key genes of HBV were identified by LASSO and SVM-RFE algorithm. The reliability of screening genes was evaluated by Nomogram. In addition, We conducted pan-cancer analysis on RHOB and comprehensively evaluated its expression pattern and immunological effect.
Results: Four modules (AntiqueWhite-4, Green, MidnightBlue, and Mediummorchid) were identified as significantly associated with HBV. Through the LASSO algorithm and SVM-RFE algorithm, 6 key genes were found to be significantly correlated with HBV. Based on the pan-cancer analysis, RHOB was closely associated with the prognosis of various tumor patients, the degree of immune cell infiltration, and TMB and MSI., indicating that RHOB may be a potential target for intervention of human diseases including HBV and tumor.
Conclusions: We identified six genes as key genes of HBV. We note that viral response and inflammatory processes may be closely related to HBV. This study provides a new perspective for understanding the key pathways and genes of HBV, and the results provide potential therapeutic targets and clues for HBV. Further analysis of pan-cancer targets revealed that RHOB was the best candidate for intervention in HBV and neoplasms, which may provide recommendations for the treatment of human immune-related diseases and even cancer.
Zinc fertilizers for Citrus production: assessing nutrient supply via fertigation or foliar application
Authors: Boaretto Rodrigo , Hippler Franz Walter Rieger , Teixeira Luiz Antônio Junqueira , Fornari Raíssa Cagnolato , Quaggio Jose Antonio , de Mattos Dirceu 
Published: November 2022

Abstract
Background and Aims
Citrus trees are severely affected by zinc (Zn) deficiency, which impairs plant growth and fruit yield. Zn fertilization is usually recommended in field orchards, and application strategies toward nutrient use efficiency are key for successful crop management.
Methods
Field studies were carried out with sweet orange trees for four growing seasons, testing Zn (nitrate, sulfate or EDTA) applied either via fertigation or foliar spray compared to a control without Zn.
Results
The Zn concentrations in the soil increased with nutrient supply by both application methods. Zn-EDTA via fertigation increased soil nutrient availability compared to the control. Likewise, Zn-nitrate via foliar application also increased soil Zn levels. Regarding the plant, Zn-EDTA via fertigation increased leaf nutrient levels only after the third year of fertilization, whereas Zn-nitrate via foliar spray increased leaf levels in the short term, up to 120 mg kg− 1. To a lesser extent, Zn-EDTA or sulfate also increased leaf Zn compared to the control. Accumulated fruit yield was ~ 20% higher in trees with Zn-EDTA via fertigation and ~ 20% higher in trees with Zn-nitrate or sulfate via foliar application compared to the control, with these latter exerting greater responses. Trees supplied with Zn exhibited lower H2O2 and higher CAT activity compared to the control, which correlated with a fruit yield increase.
Conclusion
In conclusion, Zn-EDTA via fertigation or nitrate or sulfate via foliar application improved the horticultural performance of trees, supporting the establishment of best nutrient management practices in fruit production.
Psychological and emotional responses to climate change among young people worldwide: Differences associated with gender, age, and country
Authors: Clayton Susan , Pihkala Panu , Wray Britt , Marks Elizabeth 
Published: November 2022

Abstract

Recently published research (Hickman et al., 2021) described concern and anxiety about climate change among young people aged 16-25 in ten countries around the world. Using the same dataset, this paper examines differences associated with gender and age. There were small but consistent gender differences, with female respondents expressing greater levels of concern and negative emotions, while male respondents were more optimistic and expressed greater faith in government. Within this narrow age group, there was some evidence that concern and negative emotions about climate change were higher among older respondents compared to those who were younger. There were complex differences among countries; in general, respondents in the Philippines, India, and Nigeria report a stronger psychological impact of climate change than respondents in the United States and Finland. These results help to describe the extent and patterns of climate anxiety worldwide in an age range that is relatively understudied.
Modeling of consumption of Gasoline (MS) and Diesel (HSD) in India using SARIMA and Neural Network
Authors: Murthy Ramesh 
Published: November 2022

Abstract
Petroleum products fuel the economic engine of a country. It is vital that accurate demand forecasting is done for these products. Various forecasting methods from simple methods like moving average to complex fuzzy logic have been used to forecast the demand for Petroleum products with varying degree of accuracy. This study compares the forecasting accuracy of two machine learning forecasting models namely Seasonal Auto Regressive Integrated Moving Average (SARIMA) and Neural Network to forecast the consumption of Gasoline (MS) and Diesel (HSD) in India and conclude which model is able to better predict the demand. To compare the forecast accuracy of models, Mean Absolute Percentage Error (MAPE) is used. The model with the lowest Mean Absolute Percentage Error (MAPE) is considered as the better forecasting model. The study concludes SARIMA and Neural Network are able to predict the consumption of Gasoline (MS) with almost equal accuracy while SARIMA is able to predict the consumption of Diesel (HSD) significantly better then Neural Network.
Strain distribution during the heat treatment of wood with digital image correlation, material characterization, and deformation analysis under mechanical stress of heat- treated wood
Authors: Aydemir Deniz , Aksu Oğuz , Bardak Timucin , Yaman Barbaros , Sozen Eser , Yalçın Ömer Ümit , Gündüz Gökhan 
Published: November 2022

Abstract

This paper was to investigate the strain distribution with digital image correlation (DIC) during the heat treatment of Beech and Uludag Fir woods at 170, 190, and 210°C for 4 h and the effects of the heat treatment process on the deformation behavior during mechanical testing of heat-treated wood, and the physical, mechanical, morphological, thermal, chemical properties of the heat-treated woods. According to the mechanical test, the heat treatment parameters can be optimized by using the DIC methods during the treatment, and therefore, it can be said that the DIC method can provide important data in the design of structurally heat-treated wood materials. Although heat treatment can provide improved physical and thermal properties, it caused micro-crack formations and collapses in the wood cells in morphological structure and so, it negatively affected the mechanical properties. FTIR showed that different peaks weren’t detected in the spectra of untreated and heat-treated woods, but it was seen to be slight shifts in the intensity of some peaks of the heat-treated woods. The x-ray diffraction results showed a slight difference in the XRD patterns of the heat-treated woods and while the thermal treatment was raised, the crystallinity generally increased more.
Astaxanthin-Mediated Returning the Aquaporin-1 to Basal Level May Be an Alternative Treatment Approach in Radiotherapy-Induced Lung Injury
Authors: Akın Süleyman Emre , Erzurumlu Yalcin , Camas Hasan Ekrem , Buyukbayram Halil Ibrahim , Asci Halil , Hasseyid Nursel , Ozmen Ozlem 
Published: November 2022

Abstract
Background: Radiotherapy (12-RAD), which has an important place in cancer treatment, destroys cancer cells, but also negatively affects healthy tissues in that area. Astaxanthin (ATX) is known to have powerful antioxidant, anti-inflammatory and antiapoptotic properties. In this study, we aimed to evaluate the effects of ATX on lung injury after radiotherapy.
Methods and Results: 32 rats were divided into 4 groups as control, 12-RAD (a single dose of 10 Gy x-ray was given at a rate of 0.62 Gy/min), 12-RAD+ATX, + ATX (10mg/kg ATX was administered by oral gavage for 7 days). Twenty-four hours after the last ATX application, the lung tissues of the rats were taken for biochemical, genetic, histopathological and immunohistochemical examinations. 12-RAD increased the oxidative stress markers TOS, OSI levels, the expression of VCAM-1, VEGF-A, which increases in inflammation, and the apoptotic marker, caspase-3. It also significantly reduced Aquaporin-1 and TAS levels. On the other hand, ATX has returned all these parameters.
Conclusion: All evidence suggests that the use of ATX may be a potential therapeutic agent against radiotherapy-induced lung injury.
Association between Gut Microbiota and Neurodevelopmental Outcome in Neonates
Authors: Qiu Jun , Xiang Shiting , Ma Ye , Xiao Aiqing , Li Guinan , Gao Xirong , Huang Ruiwen , Peng Xiaoming 
Published: November 2022

Abstract
Background: The risk of neurodevelopmental disorders remains high in high-risk newborns. Cumulativeevidence reveals that gut microbiota plays an important role in neurodevelopment through the gut-brain axis. However, the composition of the neonatal gut microbiota and its association with neurodevelopment remain unclear.
Methods: Neonates were recruited at the neonatal intensive care unit (NICU) of Hunan Children's Hospital from August 2018 to October 2019. Fecal samples within 3 months after birth, as well as neurodevelopmental outcomes using Neonatal Behavioral Neurological Assessment (NBNA) were collected. 16S rDNA gene sequencing was used to identify and quantify bacterial taxa, and estimated microbial composition in different groups.
Results: A total of 94 newborns were enrolled and divided into four groups based on gestational age and neurodevelopmental outcome. We found that α diversity was not significant among groups. At the genus level, higher relative abundance of Streptococcus, and lower relative abundance of Bifidobacterium and Veillonella were associated with poor neurodevelopmental outcomes in preterm infants, while there was no difference in the gut microbial composition of full-term infants.
Conclusions: Our findings suggest that alterations in the gut microbial community may be associated with a risk of neurodysplasia in preterm neonates. These findings may help understand the effects of gut microbiota on poor neurodevelopmental outcomes.
Akkermansia muciniphila improve anti-PD-1 therapy against hepatocellular carcinoma by increasing host TUDCA synthesis
Authors: Lan Xiucai , Ma Jiaming , Huang Zhipeng , Chen Ningxin , Jin Xian , Weng Yurong , Xu Yuzhen , Hu Yaomin 
Published: November 2022

Abstract
The immune checkpoint inhibitor PD-1mAb have shown excellent treatment in a variety of cancers including hepatocellular carcinoma (HCC), However, the patients' response rates are still low and many initial responders might become resistant to the therapy. Akkermansia muciniphila (AKK) is reported to be associated with multiple human diseases. More abundance of AKK was detected in patients who respond well to PD-1mAb, yet the underlying mechanism is not clear. In our study, we found that AKK could enhance the efficacy of PD-1mAb against HCC in a tumor bearing mice model. It can promote HCC tumor cells into apoptosis process and diminish ki-67 expression. It raised the CD8+T proportion in the tumor microenvironment and promoted IFN-γ secretion. Furthermore, it down-regulate PD-L1 expression on tumor cells. Metabonomics analysis demonstrated that AKK altered the host bile acid metabolism and significantly raised the serum TUDCA level. Since FXR is the major receptor for bile acid and both TUDCA and FXR were reported to exert immunosuppresive roles in HCC development. In addition, FXR could negatively regulate PD-L1 expression on tumor surface. Based on these findings, we speculate that AKK might reinforce the immunotherapy of PD-1mAb against HCC through a TUDCA-FXR-PD-L1 pathway. Trial registration: We confirm that the study has been approved by the Institute Ethics Committee at Renji Hospital of Shanghai Jiao Tong University.
Biomechanical evaluation of reconstruction of the posterior complex in restorative laminoplasty with miniplates
Authors: Chen Jianmin , Liu Guoyin , Bao Tianyi , Xu Yuansheng , Luo Hu , Wu Yu , Cai Dawei , Qin Feng , Zhao Jianning 
Published: November 2022

Abstract
Objective
To evaluatethe biomechanical effects of different miniplates on restorative laminoplasty.
Methods
Assembled restorative laminoplasty models were developed based on 3D printed L4 lamina. Three miniplates models (two-hole, L-shaped and H-shaped miniplates) were constructed. Static and dynamic compression tests were analyzed to investigate the biomechanical effects of different instruments in restorative laminoplasty.
Results
The “door close” phenomenon and the collapse of lamina occurred in L-shaped and two-hole miniplates, while plate break occurred in the L-shaped miniplates. However, these phenomenons were absent in H-shaped miniplates. The sustainable yield load of H-shaped miniplates was greater than that of L-shaped and two-hole miniplates. No significant difference in yielding-displacement was found between H-shaped and L-shaped miniplates, while both were much less than that of two-hole miniplates. Moreover, the compressive stiffness and the axial displacement under the same mechanical load were arranged as follows: H-shaped > L-shaped > two-hole miniplates. The results of dynamic compression test revealed that the peak load of H-shaped miniplates reached 873 N and was 95% of the average yield load of the static compression, and was better than that in two-hole and L-shaped miniplates. Besides, the dynamic compression results also showed that the ultimate load of H-shaped miniplates was more than twice that of two-hole miniplates or L-shaped miniplates.
Conclusions
The mechanical strength of H-shaped miniplates was superior to L-shaped and two-hole miniplates in maintaining spinal canal enlargement and spinal stability, and was more excellent in fatigue stability and ultimate load.
Dynamic of SOFA Score Predicts Functionality after ARDS Therapy
Authors: Bernard Alice , Higuita Lina Maria Serna , Martus Peter , Mirakaj Valbona , Koeppen Michael , Zarbock Alexander , Marx Gernot , Putensen Christian , Rosenberger Peter , Haeberle Helene Anna 
Published: November 2022

Abstract
Rationale: Health-related quality of life after surviving acute respiratory distress syndrome has come into focus in recent years, especially during the coronavirus disease 2019 pandemic.
Objectives: A total of 143 patients with acute respiratory distress syndrome caused by COVID-19 or of other origin were recruited in a randomized multicenter trial.
Methods: Clinical data during intensive care treatment and data up to 180 days after study inclusion were collected. Changes in the Sequential Organ Failure Assessment score were used to quantify disease severity. Disability was assessed using the Barthel index on days 1, 28, 90, and 180.
Measurements: Mortality rate and morbidity after 180 days were compared between patients with and without COVID-19. Independent risk factors associated with high disability were identified using a binary logistic regression.
Main Results: Mortality after 180 days and impairment measured by the Barthel index did not differ between patients with and without COVID-19. The SOFA score at day 5 was an independent risk factor for high disability in both groups, and score dynamic within the first 5 days significantly impacted disability in the non-COVID group.
Conclusions: Acute respiratory distress syndrome caused by COVID-19 was not associated with increased mortality or morbidity. Resolution of organ dysfunction within the first 5 days significantly impacts long-term morbidity and emphasizes the importance of timely initiation of treatment in these critically ill patients.
Development and validation of machine learning models for the prediction of overall survival and cancer-specific survival in endometrial cancer
Authors: Akazawa Munetoshi , Hashimoto Kazunori 
Published: November 2022

Abstract
Background
Accurate prediction of prognosis is essential for the management of patients with cancer. We aimed to predict the prognosis of endometrial cancer using machine learning.
Methods
We included patients with endometrial cancer in the Surveillance, Epidemiology, and End Results database. We constructed four machine learning models including logistic regression, random forest, gradient boosting machine (XGBoost), and artificial neural network to predict 5-year overall survival (OS) and cancer-specific survival (CSS). The variables included patient demographics (age, race, and year of diagnosis), pathologic factors (clinical stage, histological grade, and TNM classification), and therapeutic factors (surgical content).
Results
Overall, 71,506 patients for OS and 66,368 patients for CSS were included in the study. For the prediction of OS, XGBoost showed the best performance, with a class accuracy of 0.862 (95%CI: 0.859–0.866) and area under the curve (AUC) of 0.831 (95%CI: 0.827–0.836). Regarding the prediction of CSS, XGBoost also showed the best performance with a class accuracy of 0.914 (95%CI: 0.911–0.916) and AUC of 0.867 (95%CI: 0.862–0.871).
Conclusion
Using machine learning, we were able to predict the prognosis of endometrial cancer. Future studies should analyze the important variables and suitable algorithms with larger clinical data.
Selective Load Control of Lumbar Muscles in Robot-assisted Isometric Lumbar Stabilization Exercise
Authors: Kim Joowan , Choi Wonje , Park Jaeheung 
Published: November 2022

Abstract

Background: Lumbar stabilization exercise was developed as a rehabilitation therapy to improve the condition of patients with low back pain. However, many patients discontinue performing exercises for several reasons. Basically, the main reason is difficult to provide an appropriate intensity of exercise load to the patient. First, there is no way to provide the desired strength of the load on the target lumbar muscle. Also, it is difficult to precisely control the intensity of exercise for a gradual increase in load. Lastly, especially in calisthenics, there are cases where a large load acts on unexpected parts, such as the upper and lower limbs. Therefore, in order to allow the patient to continuously exercise and recover gradually, there is a need for a method capable of exercising with a desired load on the target lumbar muscles.
Methods: We propose a rehabilitation assistive device to help the patient quantitatively control the lumbar spine load. In isometric lumbar stabilization exercise, our proposed method is to provide compensating gravity precisely. The proposed device applies assist force in the direction opposite to gravity, with a series elastic actuator placed below the patient in a lying posture, enabling precise load control on the lumbar and reducing vertical load on the spine. To validate the effectiveness, we experimented with 20 healthy subjects on three exercises and analyzed electromyography data using non-parametric statistical methods to determine whether the load could be controlled gradually for the target lumbar muscles.
Results: From the statistical analysis with the three exercises, it was verified that for the two exercises with a single degree of freedom, there were significant differences even with a small load change on the target lumbar muscle in the exercise using the device. However, in one exercise with multi degrees of freedom, a load change were different than expected.
Conclusions: It was found that the proposed device can fine-tune the load on the target lumbar muscle for exercise with a single degree of freedom. To control the lumbar muscles that were not controlled in this study, dynamic analysis of various exercise postures and additional experiments are needed.
Gamma-irradiation effect on the chemical composition and antibacterial activity of the Moroccan Tanacetum Annuum L. Essential Oil
Authors: Belcadi Hasna , Aknouch Adil , amrani Soukayna El , Chraka Anas , Lachkar Mohammed , mouhib Mohamed , Zantar Said , Ibnmansour Ahmed 
Published: November 2022

Abstract
The study aims to evaluate the Moroccan Tanacetum annuum L. essential oil by studying the effect of gamma irradiation on both the chemical composition and antibacterial activity, this is done by exposing the oil extracted from the dry aerial parts of the plant by hydrodistillation to irradiation dose of 5kGy and 10kGy.
The obtained results proved that irradiation technology can actually raise the percentage of chemical compounds that would increase the biological activity of the essential oil. This allows to increase the potential of the plant studied and its biological effectiveness, also the irradiation process has proven the ability to raise the quality of the chemical composition both in terms to reduce the risk of contamination it can be microbiological, physical, and chemical of one of the most abundant medicinal plants in northern Morocco.