bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effect of co-administration of levodopa , benserazide and nortriptyline of behavioral symptoms in an exprimental model of Parkinson's rats
Authors: ezzedin Maryam , safari Manouchehr , zarbakhsh sam , ghanbari ali , vafaei Abbas ali , mohsenvand zohre , seyedinia seyed ali , tarahomi parnia 
Published: October 2022

Abstract
Background : The characteristic of parkinson's disease is the accumulation of alpha-synuclein protein in neurons . Nortriptyline inhibits the accumulation of alpha-synuclein.
In this article, the simultaneous effectiveness of nortriptyline in 3 different doses with levodopa and benserazide was investigated.
Methods : In this study , 49 rats were randomly divided into 7 groups of 7. 5 groups were diagnosed with parkinson's unilaterally by injecting 6 - OHDA into the substantia nigra of the midbrain. 1 group was subjected to stereotaxic surgery, but 6 - OHDA was not injected and they did not have parkinsonism, and 1 group was kept healthy. of the 5 groups with parkinson's, the control group did not receive treatment, the other group was treated with levodopa at a dose of 10 mg/kg and benserazide at a dose of 2.5 mg/kg, and groups 3 to 5 received nortriptyline in doses of 5, 10 and 20 mg/kg in addition to levodopa and benserazide. behavioral changes were measured and recorded with elevated body swing test, open field and elevated plus maze ( EPM ).
Results : The results showed that the best findings in terms of improvement of behavioral symptoms were obtained in the nortriptyline treatment group with a dose of 10 mg/kg along with levodopa and benserazide.
Conclusion : The addition of nortriptyline, especially at a dose of 10 mg/kg to the treatment of levodopa and benserazide, in behavioral changes in rats that were treated with different doses of nortriptyline along with levodopa and benserazide, is significant, and the greatest effect is at a dose of 10 mg/kg of nortriptyline, and the behaviors they were less negative.
Relation of interdigitation zone changes and right-angle vessels in Macular Telangiectasia Type-2 (MacTel)
Authors: Chandran Kiran , Giridhar Anantharaman , Gopalakrishnan Mahesh , Sivaprasad Sobha 
Published: October 2022

Abstract
Background
To study the relation between interdigitation zone (IDZ) and right-angle vessel (RAV) in Macular Telangiectasia Type-2 (MacTel).
Methods
A total of 43 eyes of 38 patients with presence of definite RAV on color fundus photograph (Gass and Blodi-only stage-3) were confirmed on multimodal imaging. The relation of IDZ changes and associated ellipsoid zone (EZ) alterations on spectral-domain-OCT with RAV were studied at baseline and these OCT changes were followed up in 15 eyes over a mean of 3.86 years.
Results
A total of 58 RAVs were found in the 43 eyes and 53/58 (91.3%) RAVs were associated with IDZ alterations in 39 eyes. On follow-up, IDZ attenuation progressed to IDZ loss and subsequent EZ attenuation and loss. A pre-existing IDZ loss was associated with subsequent EZ defect (P = 0.002). In 36 eyes that had OCT-A, eyes with RAV showed deep capillary plexus telangiectasia in all 36 (100%) eyes and 32/36 (89%) eyes showed IDZ changes with or without EZ loss.
Conclusions
IDZ attenuation and/or loss are associated with RAV and may serve as predictor of EZ loss in MacTel.
Nomogram for predicting overall survival in metastatic gastric cancer: a population-based study from SEER
Authors: Wang Xiao , Li Jiaxin , Wang Jian 
Published: October 2022

Abstract
Background

Gastric cancer is a highly malignant tumor, and many patients already have distant metastasis at the time of diagnosis, so the mortality rate is very high. It is necessary to establish an effective prognostic prediction model to guide treatment.

Methods

The cases diagnosed as metastatic gastric cancer from 2010 to 2018 in Surveillance Epidemiology and End Results (SEER) database were selected, and the clinicopathological characteristics were included in the cox regression model to determine which are the independent factors affecting prognosis. Then all cases were divided into training cohort and verification cohort. A nomogram for predicting overall survival (OS) was established using the training cohort, and the effectiveness was verified with the verification cohort.

Result

A total of 4208 stage IV gastric cancer patients were enrolled in this study. firstly, they were randomly divided into training cohort and verification cohort according to the proportion of 2:1. The median overall survival was 8 (95% CI 7.6–8.4) months in the training cohort. Age at diagnosis, gender, histology grade, T stage, N stage, surgery for primary site, performance of chemotherapy or radiotherapy, existence of bone, liver or lung metastasis were independent prognostic factors. Then a nomogram was established using the training cohort (2948), and the concordance index (C index) is calculated as 0.696 (95%CI 0.684–0.708). It was also found that the model has good prediction ability by using the calibration chart. ROC curve showed that the model can accurately predict the OS, AUC of 1 year, 3 years and 5 years survival are 0.7, 0.756 and 0.76365 respectively. Finally, the calibration chart and ROC curve were used in the verification cohort to prove these results.

Conclusion

In this study, based on the data of patients with metastatic gastric cancer in SEER database, a nomogram which can predict overall survival was established, from which several independent prognostic factors were verified. C index, ROC curve and calibration chart were used to verify the effectiveness of the nomogram, which can provide a reference for predicting prognosis and guiding individualized treatment for advanced gastric cancer patients.
Artificial intelligence-aided method to detect uterine fibroids in ultrasound images: a retrospective study
Authors: Huo Tongtong , Li Lixin , Chen Xiting , Wang Ziyi , Zhang Xiaojun , Liu Songxiang , Huang Jinfa , Zhang Jiayao , Yang Qian , Wu Wei , Xie Yi , Wang Honglin , Ye Zhewei , Deng Kaixian 
Published: October 2022

Abstract
To explore a new artificial intelligence-assisted method to assist junior ultrasonographers in improving the diagnostic performance of uterine fibroids and further compare it with senior ultrasonographers to confirm the effectiveness and feasibility of artificial intelligence. In this retrospective study, we collected a total of 3870 ultrasound images from 667 patients (mean age: 42.45 years ± 6.23 [SD]) who were pathological diagnosed with uterine fibroids and 570 women (mean age: 39.24 years ± 5.32 [SD]) without uterine lesions from Shunde Hospital between 2015 and 2020. The DCNN model was trained and developed on the training dataset (2706 images) and internal validation dataset (676 images). To evaluate the performance of the model, on the external validation dataset (488 images), we assessed the diagnostic performance of the DCNN with ultrasonographers possessing different levels of seniority. The DCNN model aided the junior ultrasonographers (Averaged) in diagnosing uterine fibroids with higher accuracy (94.72% vs. 86.63%, P < 0.001), sensitivity (92.82% vs. 83.21%, P = 0.001), specificity (97.05% vs. 90.80%, P = 0.009), positive predictive value (97.45% vs. 91.68%, P = 0.007), and negative predictive value (91.73% vs. 81.61%, P = 0.001) than they achieved alone. Their ability was comparable to that of the senior ultrasonographers (Averaged) in terms of accuracy (94.72% vs. 95.24%, P = 0.66), sensitivity (92.82% vs. 93.66%, P = 0.73), specificity (97.05% vs. 97.16%, P = 0.79), positive predictive value (97.45% vs. 97.57%, P = 0.77), and negative predictive value (91.73% vs. 92.63%, P = 0.75). The DCNN-assisted strategy can significantly improve the uterine fibroid diagnosis performance of junior ultrasonographers and is comparable to that of senior ultrasonographers.
Association between serum calcium level and in-hospital mortality in patients with acute myocardial infarction: a retrospective cohort study
Authors: Fang Dingfeng , Chen Haibo 
Published: October 2022

Abstract
The association between serum calcium levels and the prognosis of patients with acute myocardial infarction (AMI) remains controversial. This study aimed to explore the association between serum calcium and in-hospital mortality in patients with AMI. A total of 7284 patients were eventually enrolled in this study, of which 799 (10.97%) died during hospitalization. For each patient, serum calcium, corrected to albumin, was calculated and categorized into four groups: Q1 ≤8.5, Q2 8.5-9.5, Q3 9.5-10.5, and Q4 >10.5 mg/dL. Multivariate analysis demonstrated that corrected sCa was an independent predictor of in-hospital death (Q2 vs. Q1, OR 0.5, 95% CI 0.4-0.7, P<0.001; Q3 vs. Q1, OR 0.8, 95% CI 0.6-1.0, P=0.035; Q4 vs. Q1, OR 1.6, 95% CI 1.1-2.3, P=0.008). The association remained stable in the fully adjusted model. A significant U-shaped association between corrected serum calcium and in-hospital mortality was observed in piecewise linear regression model (Corrected sCa < 9.4 mg/dL, OR 0.8, 95% CI 0.7-0.9, P<0.001; corrected sCa > 9.4 mg/dL, OR 1.5, 95% CI 1.3-1.8, P<0.001). In conclusion, both decreased and increased corrected serum calcium is associated with increased in-hospital mortality in patients with AMI, and patients may have the lowest risk of in-hospital death when corrected serum calcium is 9.4 mg/dL (2.35mmol/L).
An EPQ model with process-based cost method for manufacturing of EV battery cell: A case study of NMC-622 cell
Authors: Narang Pankaj , De Pijus Kanti , Kumari Mamta 
Published: October 2022

Abstract
A real-world industry issue inspires this study. The cost of EV batteries is critical for the market growth of electric vehicles in today’s era. The cost-effective manufacturing of battery cells is a popular topic in industry and academics. Manufacturers invest billions of dollars in battery cell factories based on predicted EV growth rates. However, manufacturers require information on total manufacturing costs, plant area, total capital equipment costs, and their cost drivers to achieve the goal of a profitable firm. Driven by these concerns, an EPQ model with a process-based cost modeling technique is developed for the large-scale manufacturing of EV battery cells. The data used in this model is collected from the BatPac model (version 4) developed by Argonne National Laboratory. This study considers two types of battery cells used in electric vehicles, and the firm produces 5% of defective cells. This model provides directions to maximize profit by solving the profit function with genetic algorithm considering the production rate and selling price as decision variables. Moreover, this study shows which process steps and cost aspects significantly impact the total cost. Finally, managerial implications and conclusions are presented that support manufacturers in increasing the firm's profit.
Long-Term Outcome from the Parents' Perspective - Comparison of Children with Severe Paediatric Feeding and Eating Disorders by Comorbidities
Authors: Blank Lydia Ariane , Hoffmann Georg Friedrich , Blank Rainer Joachim 
Published: October 2022

Abstract
Purpose
This is an exploratory research on the long-term outcome of severe paediatric feeding and eating disorders as perceived by caregivers by comparison of comorbidity subgroups of the neurodevelopmental and behavioural field.
Methods
A consecutive sample (n=253, ICD-10 F98.2, received a 4-week inpatient eating intervention between 2009 and 2016) was questioned by a parent survey between May and October 2017. Main target parameters included age-appropriate eating, long-term improvement and satisfaction with treatment results. For analysis of outcome comorbidity subgroups are build and their characteristics compared.
Results
After a mean follow-up period of 3.5 years 103 cases were included after completion of the survey and subdivided into: 1) neurological comorbidities (“Neuro-group”, n=28), 2) behavioural comorbidities (“Psy-group”, n=24), 3) developmental delays without severe neurological or behavioural disorders (“DD-group”, n=22) and 4) without any neurodevelopmental or behavioural disorders (non-DNP-group, n=29).
The non-DNP-group (normal development and low rate of comorbidities) achieved the best outcome from the parental view. The Neuro-group ranked lowest at age-appropriate eating at follow-up, while their caregivers experienced good life satisfaction and a surprisingly low burden of disease; they were similarly satisfied with previous treatment as caregivers of non-DNP-group. Surprisingly, caregivers of Psy-group described a comparatively poor long-term improvement, further experienced the lowest satisfaction with intervention results and the highest burden of disease.
Conclusions
Feeding and eating disorders are persisting for a long time in children with disabilities. It seems that caregivers of children with neurological disabilities adequately lowered their outcome expectations and developed better coping strategies. This stays in contrast to caregivers of children with behavioural disorders.
Do we need to screen bone mineral density in patients with Non Alcoholic Fatty Liver: Upper Egypt experience
Authors: Hassan Amro Metwaly , shawky Muhammad Abdel-Gawad shawky Abdel-Gawad , Haridy Mustafa Ahmed , Aziz Tarek Abdel – , Shoaeir Mohamed , Qura Mohamed , Kenawy Eglal , Mansour Tarek , elsayed Sameh Salaheldin , Ali Wael , Abdelmeguid Mona 
Published: October 2022

Abstract
Introduction: Nonalcoholic fatty liver disease (NAFLD) has been linked with a number of extra hepatic diseases and could be a potential risk factor of decreasing bone mineral density (BMD).
Aim: To assess bone mineral density, serum calcium and serum vitamin D in Upper Egyptian patients with NAFLD to determine if patients who have NAFLD are at risk of developing osteoporosis or not.
Methods: cross-section study was done on a total 100 individuals; 50 patients diagnosed with NAFLD crossed-matched with 50 individuals without NAFLD regarding to age, sex and body mass index (BMI). Bone mineral density, serum calcium and phosphorus levels, serum parathyroid hormone, serum vitamin D and fasting insulin level were assessed.
Results: In this study, there is significant difference in bone mineral density between patients with NAFLD (-2.29 ± 0.4) and controlled individuals (-1.53 ± 0.1) with p value < 0.001 and osteoporosis was more prevalent in patients with NAFLD than control group with p value < 0.001. Serum vitamin D level was statistical significant predicts osteoporosis (P<0.001).
Conclusion: The study showed a significant decreased in bone density, vitamin D and serum calcium in patients with NAFLD than controls.
Usefulness of Procalcitonin at Admission as a Risk-Stratifying Biomarker for 50-Day In- Hospital Mortality Among Patients with Community-Acquired Bloodstream Infection: An Observational Cohort Study
Authors: Oussalah Abderrahim , Callet Jonas , Manteaux Anne-Elisabeth , Thilly Nathalie , Jay Nicolas , Guéant Jean-Louis , Lozniewski Alain 
Published: October 2022

Abstract
Purpose: To assess the association between plasma procalcitonin concentration at hospital admission and the risk of 50-day in-hospital mortality among patients with community-acquired bloodstream infections.
Methods: We carried out a retrospective, observational cohort study with all consecutive patients with bacteriologically confirmed community-acquired bloodstream infections hospitalized between 2006 and 2012. We aimed to assess the association between plasma procalcitonin at admission and 50-day in-hospital mortality. Patients were included in the analysis if they had undergone a blood culture test within 48 hours of hospitalization with a concomitant procalcitonin assay (time < 12 hours between the two tests). Inclusion in the study began on the day of hospital admission, and each patient was followed until death, discharge from hospital, or last known follow-up in the 50 days following hospital admission. The endpoint was the occurrence of all-cause in-hospital mortality during the 50 days following hospital admission.
Results: During the 7-year study period, 1593 patients were admitted to one of the health care facilities of the University Hospital of Nancy from home or through the emergency department and had positive blood cultures and concomitant procalcitonin assays. Among the patients, 452 met the selection criteria and were analyzed. In ROC analysis, procalcitonin at baseline was significantly associated with 50-day in-hospital mortality, with an optimal threshold > 4.24 ng/mL. A baseline procalcitonin > 4.24 ng/mL was independently associated with an increased risk of in-hospital mortality (multivariable logistic regression: odds ratio, 2.58; 95% CI, 1.57–4.25; P = 0.0002; Cox proportional hazard regression: hazard ratio, 2.01; 95% CI, 1.30–3.11; P = 0.002). In sensitivity analyses, baseline procalcitonin quartiles were independently associated with 50-day in-hospital mortality (multivariable logistic regression: odds ratio, 1.47; 95% CI, 1.17–1.85; P = 0.001; Cox proportional hazard regression: hazard ratio, 1.31; 95% CI, 1.07–1.60; P = 0.008). The independent associations between baseline procalcitonin and the risk of 50-day in-hospital mortality were maintained after adjusting for C-reactive protein and sepsis status at admission.
Conclusion:Our data provide the first evidence of the usefulness of plasma procalcitonin at admission as a risk-stratifying biomarker for predicting 50-day in-hospital mortality among patients with community-acquired bloodstream infections.
Sustainability in Interventional Radiology: Are we doing enough to save the environment?
Authors: Shum Pey Ling , Kok Hong Kuan , Maingard Julian , Zhou Kevin , Damme Vivienne Van , Barras Christen D. , Slater Lee-Anne , Chong Winston , Chandra Ronil V. , Jhamb Ashu , Brooks Mark , Asadi Hamed 
Published: October 2022

AbstractBackgroundHealthcare waste contributes substantially to the world’s carbon footprint. Our aims are to review the current knowledge of Interventional Radiology (IR) waste generation and ways of reducing waste in practice, to quantify the environmental and financial impact of waste generated and address green initiatives to improve IR waste management.MethodsA systematic literature search was conducted in July 2022 using the Medline and Embase literature databases. The scope of the search included the field of IR as well as operating theatre literature, where relevant to IR practice.ResultsOne-hundred articles were reviewed and 68 studies met the inclusion criteria. Greening initiatives include reducing, reusing and recycling waste, as well as strict waste segregation. Interventional radiologists can engage with suppliers to reformulate procedure packs to minimize unnecessary items and packaging. Opened but unused equipment can be prevented if there is better communication within the team and increased staff awareness of wasted equipment cost. Incentives to use soon-to-expire equipment can be offered. Power consumption can be reduced by powering down operating room lights and workstations when not in use, changing to Light Emitting Diode (LED) and motion sensor lightings. Surgical hand wash can be replaced with alcohol-based hand rubs to reduce water usage. Common barriers to improving waste management include the lack of leadership, misconceptions regarding infectious risk, lack of data, concerns about increased workload, negative staff attitudes and resistance to change. Education remains a top priority to engage all staff in sustainable healthcare practices.ConclusionInterventional radiologists have a crucial role to play in improving healthcare sustainability. By implementing small, iterative changes to our practice, financial savings, greater efficiency and improved environmental sustainability can be achieved.
An Improved Algorithm for Flux Variability Analysis
Authors: Kenefake Dustin , Armingol Erick , Lewis Nathan E. , Pistikopoulos Efstratios N. 
Published: October 2022

Abstract
Flux Balance Analysis (FBA) is an optimization based approach to find the optimal steady state of a metabolic network, commonly of microorganisms such as yeast strains and Escherichia coli. However, the resulting solution from an FBA is typically not unique, as the optimization problem is, more often than not, degenerate. Flux variability analysis (FVA) is a method to determine the range of possible reaction fluxes that still satisfy, within some optimality factor, the original FBA problem. The resulting range of reaction fluxes can be utilized to determine metabolic reactions of high importance, amongst other analyses. In the literature, this has been done by solving 2n+1 linear programs (LPs), with n being the number of reactions in the metabolic network. However, FVA can be solved with less than 2n+1 LPs by utilizing the basic feasible solution property of bounded LPs to reduce the number of LPs that are needed to be solved. In this work, a new algorithm is proposed to solve FVA that requires less than 2n+1 LPs. The proposed algorithm is benchmarked on a problem set of 112 metabolic network models ranging from single cell organisms (iMM904, ect) to a human metabolic system (Recon3D). Showing a reduction in the number of LPs required to solve the FVA problem and thus the time to solve an FVA problem.
Association between BMI, RFM and mortality and possible mediators: prospective findings from the Moli-sani study
Authors: Ghulam Anwal , Gianfagna Francesco , Bonaccio Marialaura , Costanzo Simona , Castelnuovo Augusto Di , De Curtis Amalia , Gialluisi Alessandro , Cerletti Chiara , Donati Maria Benedetta , de Gaetano Giovanni , Iacoviello Licia 
Published: October 2022

Abstract
Background
Body mass index (BMI) is the most frequently used adiposity measure, yet it is unable to differentiate fat mass from lean mass. Relative fat mass (RFM) has been proposed as alternative. The aim of this paper is to study RFM and BMI association with mortality in a general Italian population and potential mediators.
Methods
20,587 individuals from the Moli-sani cohort were analysed (mean age = 54 ± 11, 52% women, median follow up = 11.2years, interquartile range 1.96 years). Cox regressions were used to assess BMI, RFM and their interactive association with mortality. Dose-response relationships were assessed with spline regression, mediation analysis was performed. All analyses were separated for men and women.
Results
Men and women with BMI > 35 kg/m2 and men in the 4th quartile of RFM showed an independent association with mortality (HR = 1.71, 95%CI = 1.30–2.26 BMI in men, HR = 1.37, 95%CI = 1.01–1.85 BMI in women, HR = 1.37 CI95%=1.11–1.68 RFM in men), that was lost once adjusted for potential mediators. Cubic splines showed a U-shaped association for BMI in men and women, and for RFM in men. Mediation analysis showed that 46.5% of the association of BMI with mortality in men was mediated by glucose, C reactive protein, forced expiratory volume in 1 second (FEV1) and cystatin C; 82.9% of the association of BMI in women was mediated by HOMA index, cystatine C and FEV1; lastly 55% of RFM association with mortality was mediated by glucose, FEV1 and cystatin C. Regression models including BMI and RFM showed that RFM drives most of the risk in men, but is not predictive in women.
Conclusions
The association between anthropometric measures and mortality is U shaped and it is largely dependent on sex. Associations were mediated by glucose metabolism, renal and lung function. Public health should mainly focus on severely obese people, or people with impaired metabolic, renal, or respiratory function.