bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Embedded 3D Simulation System for Collaborative Robots
Authors: Gao Shan , Geng Hua , Ge YaQiong , Zhang WenBin 
Published: February 2024

Abstract
In this article designing an embedded simulation system for heavy collaborative robots. From the perspective of control system autonomy, controllability, and economy, the selection of ARM SOC for the embedded computer hardware, LCD driver for the upper computer, Linux operating system, and OpenCasCade for the 3D geometry engine were completed. The localization rate of the industrial robot control system was improved while ensuring performance requirements. Establish a kinematic mathematical model of the robot based on the DH parameter method, and obtain the kinematic equation of the robot's end effector. Simultaneously building an ARM Linux environment that can run simulation systems, using the 3D geometry engine OpenCasCade to load the robot standard STEP model file, using QtCreator to simulate and model the robot, and conducting instance simulations. By analyzing the motion of the robot through simulation results, the correctness of the kinematic algorithm was verified, which meets the expected design goals and provides a reliable basis for the research of collaborative robot trajectory planning and control。
Prediction of Heart Failure in Type 2 Diabetes Mellitus Subjects Using Machine Learning: A Cross-Sectional Study
Authors: Alake Alake Oluwapelumi A. , Oluboyo Oluboyo Adeola O , Odewusi Odewusi Odeyinka O. 
Published: February 2024

Abstract
The concomitance of Type 2 Diabetes Mellitus (T2DM) and heart failure has made scientists investigate ways the onset of heart failure in T2DM can be predicted. Machine learning techniques have been shown to help with the prediction of heart disease and several model algorithms have been affirmed as good. This study aimed at predicting heart failure in T2DM subjects using machine learning techniques. A total of 123 blood samples from 59 healthy subjects without T2DM (controls) and 63 T2DM subjects (tests) were analyzed for biochemical parameters [troponin (TnI), electrolytes, Lactate dehydrogenase (LDH), Aspartate aminotransferase (AST), Alanine transaminase (ALT), AST/ALT ratio, Creatinine phosphokinase (CK-MB), Fasting Blood Sugar (FBS), Cholesterol, Triglyceride, B-Natriuretic peptide (BNP)] using standard procedures. Demographic data and biochemical results were all subjected to machine learning algorithms. The results of ML showed that the Random Forest algorithm is the best model for heart failure prediction with 87% accuracy. SHAP value (impact on model output) among all possible combinations identified glucose (FBG), BNP, Systolic and diastolic blood pressure, and waist circumference as important features in the prediction of heart failure in T2DM. The permutation importance score of the features studied showed systolic BP, BNP, MUAC and troponin I in this order to have the highest positive importance to the prediction of heart failure in T2DM. Height, weight, and waist circumference have small negative importance values meaning they slightly decrease model performance. The study concluded that CK-MB, BNP, and troponin I alone may not be early indicators of heart failure in T2DM subjects. However, subjecting them to ML and combining them with the key features identified would make prediction better.
Delivery rate alters the effects of tire wear particles on soil microbial activities
Authors: Zhu Yanjie , Kim Shin Woong , Li Huiying , Rillig Matthias C. 
Published: February 2024

Abstract
Background
Tire wear particles (TWPs) produced by the abrasion between tires and road surfaces have been recognized as an emerging threat to soil health globally in recent years. They can be transported from the road surface to adjacent soil at different delivery rates, with precipitation a main driver underpinning this movement. However, studies typically assume an abrupt exposure of TWPs in their experimental design. In this study, we investigated the impacts of abrupt and gradual delivery of TWPs on soil physicochemical properties and microbial activities. We used two different delivery rates of TWPs (abrupt and gradual) and devised two experimental phases, namely the TWPs-delivery period (phase 1) and the end-of-delivery period (phase 2).
Results
We found that the gradual TWPs delivery treatments negatively influenced the activity of carbon cycle-related enzymes (β-glucosidase and β-D-1,4-cellobiosidase). Furthermore, the abrupt treatment highly increased the effects on nitrogen cycle-related enzyme activity (β-1,4-N-acetyl-glucosaminidase). In phase 2 (end-of-delivery period), each enzyme activity was changed to a similar level as the control group, but these changes were influenced by the prior delivery rates.
Conclusion
Abruptly and gradually delivered TWPs induce different responses to soil microbial activities. Our findings imply that the delivery rate of TWPs could be another key factor changing the effects of TWPs, further enhancing our understanding of the ecological impacts of TWPs.
Graphical abstract
Comparison of Toric Intraocular Lens Calculations Between the IOLMaster 700 and Pentacam AXL
Authors: Gemae Mohamed R. , Johnson Davin 
Published: February 2024

Abstract

Purpose: To compare toric IOL suggestions for power, toric, and IOL alignment between the IOLMaster 700 and Pentacam AXL.
Methods: This single-center retrospective chart review analyzed the charts of 62 patients (n=93 eyes) who underwent cataract surgery with a toric IOL between January and April 2022. For all patients, preoperative biometry was measured using both the IOLMaster 700 and Pentacam AXL, followed by IOL calculations performed on the Barrett Toric Online Calculator. The suggested IOL power and toric were defined as spherical equivalent power and toric power closest to plano and minimal residual astigmatism, respectively. Surgeons used lens suggestions as per IOLMaster 700 measurements, with Pentacam AXL being used as a confirmatory test. Patients with a history of laser refractive surgery, corneal disease, or in whom cataract density precluded measurements with either device were excluded. The outcome measures compared between devices were power, toric, and alignment suggestions.
Results: Power suggestions were within ± 0.5D in 94% of the eyes, and were identical in 54%.
Toric suggestions differed by ±1 toric step in 100% of eyes, and were identical in 67%.
IOL alignment suggestions, however, were slightly more variable and differed by ± 5º in 38-55% of eyes. At one-month post-op, the mean absolute error in spherical equivalent was nearly identical between devices.
Conclusion: Our results show that IOLMaster 700 and Pentacam AXL show generally similar TORIC calculations with respect to spherical equivalent and suggested toric power. Small differences in alignment axis are frequent between the two devices and warrant further study.
Differentiated education for poverty reduction: microeconomic data analysis in Benin
Authors: SENOU Barthélémy Mahugnon 
Published: February 2024

Abstract
The objective of this paper is to analyze the effect of the household head's level of education on the depth and severity of household poverty in Benin. To this end, basing on data from the 2018–2019 ‘Harmonized Survey on Living Conditions of Households in Benin’, using education level as the variable of interest, a poverty depth model is estimated respectively on poor households, on the poorest households and on the least poor households, controlling for selection bias. Similarly, a poverty severity model is estimated on all poor households, with control for selection bias. The results show that, beyond the positive effect of education on the poverty gap of households in general, the need for education to reduce the distance of the poor from the poverty line differs according to poverty class. Similarly, access to upper secondary education for the poorest of the poor is necessary to break pockets of extreme poverty. Finally, the simulations show among others that a significant reduction of the depth of poverty through education requires targeting the poorest of the poor.
JEL classification; A20, C10, C21, C30, I24, I32, 012.
Increased serum level of IL-27 and its clinical significance in patients with colorectal cancer
Authors: Haghighi Houria , Rava Saeed , Haghshenas Mohammad Reza , Madani Shima , Ghaderi Abbas , Fattahi Mohammad Javad 
Published: February 2024

Abstract
Purpose
Colorectal cancer (CRC) is the third most common cancer with increasing mortality in recent years. Many studies have reported the dual role of IL-27 in different malignancies. This study has investigated the role of serum level of IL-27 in CRC and its correlation with different clinicopathological features of the disease.
Methods
In this case-control study, IL-27 serum levels were measured in 70 CRC patients and 70 controls by quantitative enzyme-linked immunosorbent assay (ELISA) and analyzed using SPSS.
Results
The IL-27 serum levels were remarkably higher in CRC patients compared to controls (p = 0.012). There was no significant relationship between IL-27 levels and different features of CRC patients, including age, lymph node involvement, tumor site, tumor stage, and grade.
Conclusion
Our results suggest that the serum level of IL-27 may play a role in the pathogenesis of CRC. Therefore, further studies with larger samples of different CRC stages can be conducted to provide a better perspective.
Prevalence and risk factors of Acute kidney injury after colorectal cancer surgery
Authors: Abdulgalil Ahmed ElSaeed , Metwally Islam H , Zuhdy Mohammad , Alghandour Reham , Hasan Shehab , Tarabeah Selim , Shahda Eman , Awny Shadi 
Published: February 2024

Abstract

Introduction: Postoperative AKI (PO-AKI) is a sentinel postsurgical event that is highly correlated with both short and long-term adverse outcomes.
Objectives: this work aimed to study the prevalence and risk factors of PO-AKI after colorectal cancer (CRC) surgery in Egyptian patients.
Methods: Data of patients with CRC who underwent surgery over the previous five years was retrieved from the medical system. The Incidence of PO-AKI was recorded and its possible risk factors, also the impacts of AKI on patients' outcomes and mortality were included.
Results: Data of 562 cases were recruited. PO-AKI was detected in 10.3% of patients. Significant risk factors included intraoperative hypotension (p = 0.023), sepsis (p= 0.003), hypoalbuminemia (p= 0.014), amount of intraoperative-bleeding (p= 0.050), neoadjuvant therapy (p= 0.023) and preoperative CKD (p=0.05). Post-chemotherapy AKI was observed in 18.7% of the treated patients. Significant risk factors were previous CKD (p=0.002) and chemotherapy type (p<0.001) mainly affecting those who received XILIRI and FOLFIRI. The overall survival was significantly worse in those who developed postsurgical or post-chemotherapy AKI (p < 0.001).
Conclusions: AKI affects slightly more than a fourth of CRC patients after surgery and/or chemotherapy. Risk factors include CKD, hypoalbuminemia, neoadjuvant and Irinotecan based chemotherapy, intraoperative bleeding and/or hypotension. Most injuries are stage I; however, associated with worse overall survival.
Tidal dissipation with 3D finite element deformation code CitcomSVE v2.1: comparisons with the semi-analytical approach
Authors: Fienga Agnès , Zhong Shijie , Mémin Anthony , Briaud Arthur 
Published: February 2024

Abstract

Different methods are possible for estimating the tidal deformations of Earth and telluric planets. On one hand, the semi-analytical code $\textrm{ALMA}^3$ solves analytically the governing equations in considering symmetrical and incompressible bodies with homogeneous layers and different possible rheologies. The tidal deformations are considered with period excitation functions and the output of the model is frequency-dependent complex Love numbers. On the other hand, the 3D finite element CitcomSVE integrates numerically the governing equations with possibly 3D viscosity and viscoelastic structures on the regional and global scales. In this work, we present how the tidal deformations have been implemented in CitcomSVE by the introduction of a periodic forcing potential. For validation and benchmarking, we realized comparisons between the semi-analytical $\textrm{ALMA}^3$ output for tidal deformations and the numerical CitcomSVE in terms of frequency-dependent Love numbers k$_2$ and h$_2$ real and imaginary parts with 1D viscoelastic structure. We investigated comparisons of the frequency-dependent quality factor deduced from $\textrm{ALMA}^3$ and from the CitcomSVE, We found that with a sufficient numerical resolution for CitcomSVE, the results of the two methods for computing tidal deformations (i.e., k$_2$ and h$_2$) and quality factor Q are in good agreement for different periods including the monthly period. We also computed tidal dissipation energy from CitcomSVE and found it consistent with that expected from quality factor calculation. Our study demonstrates the potential for CitcomSVE to be applied for planetary tidal deformation calculations for a planet with a 3D structure.
A Qualitative Exploration of Factors Influencing Psycho-socioeconomic Outcomes after Road Traffic Orthopedic Injuries: Perspectives from Rwandan Victims and Healthcare Providers
Authors: Ingabire JC Allen , Stewart Aimee , Sagahutu JB , Urimubenshi Gerard , Bucyibaruta Georges , Uwakunda Carine , Uwera Claudine , Nganabashaka JP , Nshumuyiki Joel , Tumusiime David K. 
Published: February 2024

Abstract
Background
The burden of road traffic injury-related deaths and disabilities is disproportionately high in low- and middle-income nations. Extremity injuries impair people’s ' quality of life (QOL) in addition to the physical limitations that affect their ability to function at work and at school. This qualitative study investigated the psycho-socioeconomic effects and alterations in quality of life (QOL) among trauma patients in Rwanda because of road orthopedic injuries (RTOI).
Methods
A multicenter study conducted from June 2022 to August 2022 involved 45 individuals from five referral hospitals in Rwanda, who participated in in-depth interviews. Two years after the injury, the study translated and transcribed interviews with 21 RTOI victims treated at these hospitals. The study also interviewed 24 medical professionals, including physiotherapists, emergency physicians, nurses, and orthopedic surgeons. Data was coded and analyzed using NVivo, with methodological rigor achieved through double-coding and debating results.
Findings:
Our study highlights the challenges faced by healthcare providers and RTI victims in Rwanda, including insufficient resources, long waiting times, inadequate infrastructure, and a complex referral system. These issues impair therapeutic effectiveness and prolong hospitalizations, particularly for rural patients. Timely management of RTIs, including access to physiotherapy, early medical procedures, and psychological follow-up, is crucial for enhancing functional outcomes. Training of emergency and trauma management personnel could involve establishing basic training programs, facilitating equipment availability, setting up trauma centers, and specialised nurses.
Conclusion
The study highlights the psycho-socioeconomic impacts of road traffic orthopedic injuries in Rwanda, affecting victims and healthcare providers. These injuries cause physical health issues, work disruptions, social isolation, financial pressure, and psychological suffering. Strategies to improve outcomes include patient satisfaction surveys, multidisciplinary teams, timely management, good rehabilitation services, and trauma training.
Cocaine Polydrug Use and its Impact on Intentional Harm Recognition: A High-Density EEG Study
Authors: Morales Juan-Pablo , Dam Nicholas T. , Huepe-Artigas Daniela , Rivera Álvaro , San-Martin Consuelo , Rojas Felipe , Valdés Joaquín , Ibáñez Agustín , Huepe David 
Published: February 2024

Abstract
Cocaine and stimulant consumption constitute a significant problem worldwide related to impaired social skills. The link between illegal substance abuse and social cognition is not well understood. Intentional harm recognition is a social cognitive capability referring to the ability to determine whether a harmful action performed by another person is deliberate or accidental. The present study examined self-reported, behavioral, and neural responses associated with intentional harm in n=19 cocaine polydrug users (COC) and n=19 healthy controls (HC). Using high-density electroencephalography (hdEEG), brain activity was measured during an intentional inference task (IIT), which assesses fast intention recognition regarding deliberate or unintentional harm to people and objects. Behaviourally, COC exhibited slower RT than HC. ERP analysis showed late frontal differences associated with attributing intentional harm in HC but not COC. Finally, these findings may potentially indicate a shift towards emotional over-involvement and away from rational cognitive assessment of social information. The present results provide a new perspective on social-cognitive skills among cocaine polydrug users, suggesting that work in training socio-emotional regulation may be of clinical benefit.
Systemic immune inflammatory index (SII) and urine albumin creatinine ratio (ACR) are associated with Diabetic macular epiretinal membrane
Authors: Zhou Daiying , Chen Jing , Lu Cuicui , Lv Zhigang , Ye Juan 
Published: February 2024

Abstract
Purpose
To investigate the correlation between systemic immune inflammatory index (SII) or other metabolic index and diabetic macular epiretinal membrane (dERM) in hospitalized patients with diabetes mellitus (DM).
Methods
This retrospective study included 81 dERM inpatients and other 81 matched controls. Main indicators involved in comparison between group were macular volume coefficient, Body Mass Index (BMI), insulin usage rate, hypertension prevalence, SII, albumin (Alb), lipid indicators, uric acid, glycated hemoglobin and urine albumin creatinine ratio (ACR). Conditional logistic regression analysis was operated to evaluate the risk factors for dERM occurrence. Spearman correlation test was conducted to analyze the correlation between the above indicators in the dERM group and their Optical coherence tomography biomarkers.
Results
Each of macular volume coefficients, SII and ACR in the dERM group was significantly higher than those in the control group while Alb decreased (all p < 0.05). There was no significant difference in the rest of indicators between the two groups. Regression analysis predicted risk factors as SII (OR 3.92, 95% CI 1.90–9.65, p < 0.01) and ACR (OR 4.43, 95%CI 1.89–10.42, p < 0.01). Correlation analysis showed that hyperreflective foci (HRF), intraretinal cystoid space (IRC), and disorganization of retinal inner layers (DRIL) were all related to the thickness of the macular fovea. In addition, HRF showed a significant correlation with SII and ACR. IRC were also related to ACR, excepted DRIL.
Conclusion
Higher SII and ACR are closely related to dERM among DM hospitalized patients.
Association of coffee and caffeine consumption with risk of ischemic stroke: a Mendelian randomization study
Authors: Wang Min , Gao Yuan , Wang Guangyan , Yang Yuhui , Liu Fang , Wang Guangming 
Published: February 2024

Abstract
Background Previous research has not elucidated a causal relationship between coffee and caffeine intake and ischemic stroke.
Methods Mendelian randomization (MR) studies were used to assess the causal relationship between coffee and caffeine consumption and the risk of ischemic stroke. Genetic statistically significant single nucleotide polymorphisms (SNPs) for coffee and caffeine intake served as instrumental variables (IVs). Ischemic stroke was used as the outcome, and the IVW, MR-Egger, simple mode, weighted mode, and weighted median methods were used for analysis, and the inverse variance weighting (IVW) method was used as the main method for MR analysis. Further sensitivity analysis was performed using MR-Egger and IVW to assess robustness.
Results MR analysis results showed that coffee and caffeine intake were not associated with the risk of ischemic stroke. Twenty-three SNPs of coffee and 19 SNPs of caffeine were selected as IVs, and the F values of all SNPs were greater than 10. The study results show that genetic susceptibility to coffee intake is associated with IS (OR = 1.147, 95% CI: 0.704– 1.869, P = 0.583), and caffeine intake is associated with IS (OR = 0.93, 95% CI: 0.846– 1.021, P = 0.126) had no effect. After excluding SNPs with confounding factors, a sensitivity analysis was performed in this study, and the results were consistent.
Conclusion The findings suggest there is insufficient evidence to support an association between coffee and caffeine intake and the risk of ischemic stroke. More research is needed to verify this in the future.
Prediction of esophagogastric anastomotic leakage by nomogram combined with preoperative nutritional status and clinical factors: A retrospective study of 775 patients
Authors: Huang Jiang-shan , Yang Li-tao , Zhu Jia-fu , Zhong Qi-hong , Guo Fei-long , Zhang Zhen-yang , Lin Jiang-Bo 
Published: February 2024

Abstract
Aim: The purpose of this study was to explore the independent risk factors for esophagogastric anastomotic leakage (EGAL) and establish a nomogram for EGAL based on preoperative nutritional status.
Methods: Patients who underwent esophagectomy between January 2018 and October 2023 were enrolled and randomly divided into a training cohort and a validation cohort at a ratio of 7:3. The differences between the two groups of factors were analyzed by difference analysis, and multivariate regression analysis was subsequently performed to screen out independent risk factors. A nomogram was established, and the feasibility of the nomogram was verified by analyzing the discrimination, calibration and decision curves.
Results: A total of 775 patients were enrolled, including 532 in the training cohort and 223 in the validation cohort. Multivariate regression analysis revealed that age, smoking history, drinking history, nutritional indicators and anastomotic location were independent risk factors for EGAL. In the terms of discrimination, in the training group, the area under the curve (AUC) was 0.757 (95% CI: 0.715-0.853, P=0.025). In the calibration curve, the curves and fitting lines before and after correction in the training group and the validation group were basically the same. The results of the Hosmer-Lemeshow test showed that the chi-square value of the training cohort was 5.48 (P=0.791). In the decision curve analysis (DCA) of the training set, when the threshold probability was in the range of 5%-63%, the net benefit of patients was greater than that of the two extreme curves.
Conclusion: Preoperative malnutrition is an independent risk factor for EGAL A diagnostic model was developed on age, anastomotic location, smoking status and drinking history. This model is a reliable noninvasive tool that can timely predict the occurrence of AL.