bluuebunny/crossref_metadata_2025_split huggingface dataset:
Thermal Modeling Challenges of High-Speed Motorized Spindles
Authors: Koch Lukas , Butz Felix , Krüger Gordana , Döpper Frank 
Published: June 2023

AbstractThis paper investigates the thermal modeling challenges of high-speed motorized spindles up to 40,000 rpm. The thermal expansion and deflection of motorized spindles are critical determinants for the resulting tool center point displacement and the achievable machining accuracy of machine tools. In order to compensate, finite element and reduced physical models (digital twins) therefore require an accurate understanding of the thermal boundary conditions. In motorized spindles, heat sources are of great significance to the resulting temperature field. However, it is very difficult to accurately quantify the heat sources in motorized spindles. This is a particular challenge for high-speed applications exceeding 20,000 rpm, where commonly used boundary conditions are not validated. While the power loss of the electric motor could be quantified with reasonable accuracy, the calculation approaches for air and bearing friction proved to be inadequate. This paper introduces approaches to quantify the air and bearing friction of motorized spindles with improved accuracy for applications up to 40,000 rpm. The method was verified based on a coupled thermal/fluid-mechanical spindle simulation model. The mean absolute temperature difference between the model and the test bench was 1.5 K.
Three-Dimensional Modeling of Thermomechanical Tool Loads During Milling Using the Coupled Eulerian-Lagrangian Formulation
Authors: Liu Hui , Meurer Markus , Bergs Thomas 
Published: June 2023

AbstractMilling is a complex process where machining quality is influenced by tool geometry, chip flow, temperature, and wear. In recent years, the rapid development of computer technology has enabled the use of finite element simulation methods to study the relationship between the machining results and various process parameters. In this study, a three-dimensional thermal coupled Euler-Lagrange milling model is proposed. This approach provided unique advantages in terms of stability and computational speed. The simulation results showed a good agreement with the corresponding experimental cutting tests and provided further information on the heat source distribution characteristics, which form a basis for further theoretical investigations.
Hybrid Thermal Error Compensation Combining Integrated Deformation Sensor and Regression Analysis Based Models for Complex Machine Tool Designs
Authors: Naumann Christian , Naumann Andreas , Bertaggia Nico , Geist Alexander , Glänzel Janine , Herzog Roland , Zontar Daniel , Brecher Christian , Dix Martin 
Published: June 2023

AbstractThermal errors remain the dominant sources of positioning inaccuracies in machine tools. Various methods of reducing them have already been developed, ranging from cooling and air conditioning strategies, thermally optimized machine tool designs and component optimization to accurate model based thermal error estimation methods used for control-integrated compensation. Some reasons for the limited success of these strategies are the general complexity of the thermo-elastic and thermodynamic processes involved and the fact that many models’ effectiveness is dependent on the machine tool type, workpiece, climatic conditions, tool, CAM strategy, condition of the machine tool and other factors. Depending on these circumstances, all model-based estimation and compensation methods have specific strengths and weaknesses, which make them more suitable in some aspects and less suitable in others. A possible way of circumventing this is via the combination of several methods to hybrid compensation. The goal of this investigation is to develop an effective hybrid compensation strategy for the 5-axis machine tool DMU 80 eVo by combining measurement-based compensation using integrated deformation sensors (IDS) with characteristic diagram based compensation. The former is used for the compensation of thermal errors in the vertical column containing the larger assemblies of the x, y, and z-axis and the latter is used for the table, which contains two rotational axes.The IDS placement has been determined through expert knowledge and compared to placement, which minimizes the variance of the TCP displacement. The hybrid compensation is tested on the DMU 80 eVo.
Thermal Error Compensation Models Utilizing the Power Consumption of Machine Tools
Authors: Lang Sebastian , Zimmermann Nico , Mayr Josef , Wegener Konrad , Bambach Markus 
Published: June 2023

AbstractThermal errors are among the most significant contributors to deviations of products manufactured on modern machine tools (MTs). Reducing them is typically achieved through either design adaptation, active cooling of the MT and its environment, or compensation using measurements or model-based predictions. Model-based compensation strategies promise to have the lowest environmental footprint by far. In general, a compensation model needs to be accurate, robust to changing boundary conditions and must require only minimal experimental efforts as this reduces the productivity of the MT. Model inputs such as temperature measurements or the power consumption of various components, can be used to predict the thermal errors. The temperature inputs require additional sensors, effort and cost for the MT manufacturer to install and ensure up-time while the power consumption could be logged and are typically provided from the control system anyway. Adaptive compensation models are created using four different sets of inputs consisting of 13 temperature sensors and 7 power measurements. While the best results were obtained with all 20 inputs, the 7 energy recordings give similar results as the 13 temperature sensors if the environmental temperature is considered. The volumetric RMSE was reduced by 72% and the maximal error from 32.75 µm to 9.5 µm. ARX models proved to be suitable and even outperform more complex model structures such as LSTM and especially those without time dependency such as feed forward neural networks.
Adaptive Thermal Model for Structure Model Based Correction
Authors: Thiem Xaver , Rudolph Holger , Krahn Robert , Ihlenfeldt Steffen , Fetzer Christof , Müller Jens 
Published: June 2023

AbstractThis paper discusses structure model based correction of thermal induced errors at machine tools. Using a machine model evaluated in thermal real-time, the thermal induced errors at the tool center point (TCP) are calculated based on information gotten from the machine control (e.g., axes velocities, positions, and motor currents) and ambient temperature. The machine model describes the physical relationships and considers the structure and structural variability resulting in traverse movements of the feed axes – the so-called structure model. To create this, finite elements are used as thermal and thermo-elastic models, and model order reduction (MOR) techniques are used to enable the calculation of high-resolution models in thermal real-time. Subsequent parameter updates can improve the accuracy of the initial parameter set of thermal models. A systematic procedure developed for this purpose and its application to a demonstrator machine are presented. For the update, parameters are selected which can change over the operating time, e.g., due to wear. Temperature sensor positions are chosen, sensitive to changes in these parameters. Simulations with parameters varied in a plausible range are used to determine whether parameter optimizations are reasonable. The parameter optimization runs in a trusted execution environment (TEE) on a server in parallel to the calculation of the correction model on the machine control. The confidential input data of the model and the model itself have to be protected from unauthorized access. The efficient model calculation and parameter optimization in a secure server environment leads to an adaptive thermal model (digital twin).
A Data-Based Model of the Thermo-Elastic TCP Error Using the Encoder Difference and Neural Networks
Authors: Brecher Christian , Dehn Mathias , Neus Stephan 
Published: June 2023

AbstractThe thermo-elastic tool center point (TCP) error has been an ongoing research focus, due to its large effect on the workpiece quality. Existing models to compute the thermo-elastic TCP error already perform quite well regarding the accuracy and speed of computation. However, the models are often time consuming in their parameterization, expensive to apply or are error-prone due to the used model inputs. The work presented in this paper addresses these issues by introducing the encoder difference as model input. Since the encoder difference easy and inexpensive to measure, it yields a high potential for industrial use. Therefore, in this paper, the correlation between the encoder difference and the thermo-elastic TCP error is investigated. Since the physical relationship between the encoder difference and the thermo-elastic TCP error is complex, it is necessary to use an artificial neural network to compute the resulting TCP error. Due to the variety of artificial neural network (ANN) types, with different capabilities, a range of different networks is tested regarding their capability to compute the thermo-elastic TCP error. To conclude the paper, a method to parametrize such models is derived from the gathered results.
Average monotonic cooperative games with nontransferable utility
Authors: Giménez-Gómez José-Manuel , Sudhölter Peter , Vilella Cori 
Published: June 2023

AbstractA non-negative transferable utility (TU) game is average monotonic if there exists a non-negative vector according to which the relative worth is not decreasing when enlarging the coalition. We generalize this definition to the nontransferable utility (NTU) case. It is shown that an average monotonic NTU game shares several properties with an average monotonic TU game. In particular it has a special core element and there exists a population monotonic allocation scheme. We show that an NTU bankruptcy game is average monotonic with respect to the claims vector.
The RISK pathway leading to mitochondria and cardioprotection: how everything started
Authors: Yellon Derek M. , Beikoghli Kalkhoran Siavash , Davidson Sean M. 
Published: June 2023

AbstractIschaemic heart disease, which often manifests clinically as myocardial infarction (MI), remains a major cause of mortality worldwide. Despite the development of effective pre-clinical cardioprotective therapies, clinical translation has been disappointing. Nevertheless, the ‘reperfusion injury salvage kinase’ (RISK) pathway appears to be a promising target for cardioprotection. This pathway is crucial for the induction of cardioprotection by numerous pharmacological and non-pharmacological interventions, such as ischaemic conditioning. An important component of the cardioprotective effects of the RISK pathway involves the prevention of mitochondrial permeability transition pore (MPTP) opening and subsequent cardiac cell death. Here, we will review the historical perspective of the RISK pathway and focus on its interaction with mitochondria in the setting of cardioprotection.
Occupational exposure to noise and dust in Swedish soft paper mills and mortality from ischemic heart disease and ischemic stroke: a cohort study
Authors: Torén Kjell , Neitzel Richard L. , Eriksson Helena P. , Andersson Eva 
Published: June 2023

Abstract
Objective
To elucidate whether occupational noise exposure increases the mortality from ischemic heart disease (IHD) and stroke, and if exposure to paper dust modified the risks.

Methods
We studied 6686 workers from soft paper mills, with occupational noise exposure, < 85 dBA, 85–90 dBA and > 90 dBA, and high (> 5 mg/m3) exposure to paper dust. Person-years 1960–2019 were stratified according to gender, age, and calendar-year. Expected numbers of deaths were calculated using the Swedish population as the reference and standardized mortality ratios (SMR) with 95% confidence intervals (95% CI) were assessed.

Results
SMR for IHD was 1.12 (95% CI 0.88–1.41) for noise < 85 dBA, 1.18 (95% CI 0.90–1.55) for 85–90 dBA, and 1.27 (95% CI 1.10–1.47) among workers exposed > 90 dBA. Joint exposure to high noise exposure and high exposure to paper dust resulted in slightly higher IHD mortality (SMR 1.39, 95% CI 1.15–1.67). SMR for ischemic stroke was 0.90 (95% CI 0.37–2.15) for noise < 85 dBA, 1.08 (95% CI 0.45–2.59) for 85–90 dBA, and 1.48 (95% CI 0.99–2.00) among workers exposed > 90 dBA. High noise exposure and high exposure to paper dust resulted in higher ischemic stroke mortality (SMR 1.83, 95% CI 1.12–2.98).

Conclusion
Noise levels > 90 dBA was associated with increased IHD mortality. Combined exposures of noise and paper dust may further increase the risks. Our results do not provide support for a causal relationship for ischemic stroke. Residual confounding from smoking has to be considered. Workers need to be protected from occupational noise levels exceeding 90 dBA.
Validation of an accelerometer system for measuring physical activity and sedentary behavior in healthy children and adolescents
Authors: Milther Camilla , Winther Lærke , Stahlhut Michelle , Curtis Derek John , Aadahl Mette , Kristensen Morten Tange , Sørensen Jette Led , Dall Christian Have 
Published: June 2023

AbstractThe study aims to assess the concurrent validity of the SENS motion®accelerometer system for device-based measurement of physical activity and sedentary behavior in healthy children and adolescents. Thirty-six healthy children and adolescents (mean ± standard deviation (SD) age, 10.2 ± 2.3 years) were fitted with three SENS sensors while performing standardized activities including walking, fast walking, sitting/lying, and arm movements. Data from the sensors were compared with video observations (reference criteria). The agreement between SENS motion®and observation was analyzed using Student’st-test and illustrated in Bland–Altman plots. The concurrent validity was further evaluated using intraclass correlation coefficient (ICC) and was expressed as standard error of measurement (SEM) and minimal detectable change (MDC). Strong agreement was found between SENS and observation for walking time, sedentary time, and lying time. In contrast, moderate agreement was observed for number of steps, sitting time, and time with and without arm movement. ICC2.1values were overall moderate to excellent (0.5–0.94), with correspondingly low SEM% for walking time, sedentary time, lying time, and time with arm movement (2–9%). An acceptable SEM% level was reached for both steps and sitting time (11% and 12%). For fast walking time, the results showed a weak agreement between the measurement methods, and the ICC value was poor.Conclusion: SENS motion®seems valid for detecting physical activity and sedentary behavior in healthy children and adolescents with strong agreement and moderate to excellent ICC values. Furthermore, the explorative results on arm movements seem promising.What is Known:• Inactivity and sedentary behavior follow an increasing trend among children and adolescents.• SENS motion®seems to be valid for measuring physical activity and sedentary behavior in adults and elderly patients.What is New:• SENS motion®seems valid with strong agreement between video observations and SENS measurement, and ICC values are moderate to excellent when measuring physical activity and sedentary behavior in healthy children and adolescents.• SENS motion®seems promising for detection of arm movements.
Platelet transfusions in preterm infants: current concepts and controversies—a systematic review and meta-analysis
Authors: Ribeiro Helena Sofia , Assunção André , Vieira Rafael José , Soares Paulo , Guimarães Hercília , Flor-de-Lima Filipa 
Published: June 2023

AbstractPlatelet transfusions (PTx) are the principal approach for treating neonatal thrombocytopenia, a common hematological abnormality affecting neonates, particularly preterm infants. However, evidence about the outcomes associated with PTx and whether they provide clinical benefit or harm is lacking. The aim of this systematic review and meta-analysis is to assess the association between PTx in preterm infants and mortality, major bleeding, sepsis, and necrotizing enterocolitis (NEC) in comparison to not transfusing or using different platelet count thresholds for transfusion. A broad electronic search in three databases was performed in December 2022. We included randomized controlled trials, and cohort and case control studies of preterm infants with thrombocytopenia that (i) compared treatment with platelet transfusion vs. no platelet transfusion, (ii) assessed the platelet count threshold for PTx, or (iii) compared single to multiple PTx. We conducted a meta-analysis to assess the association between PTx and mortality, intraventricular hemorrhage (IVH), sepsis, and NEC and, in the presence of substantial heterogeneity, leave-one-out sensitivity analysis was performed. We screened 625 abstracts and 50 full texts and identified 18 reports of 13 eligible studies. The qualitative analysis of the included studies revealed controversial results as several studies showed an association between PTx in preterm infants and a higher risk of mortality, major bleeding, sepsis, and NEC, while others did not present a significant relationship. The meta-analysis results suggest a significant association between PTx and mortality (RR 2.4, 95% CI 1.8–3.4; p < 0.0001), as well as sepsis (RR 4.5, 95% CI 3.7–5.6; p < 0.0001), after a leave-one-out sensitivity analysis. There was also found a significant correlation between PTx and NEC (RR 5.2, 95% CI 3.3–8.3; p < 0.0001). As we were not able to reduce heterogeneity in the assessment of the relationship between PTx and IVH, no conclusion could be taken. Conclusion: Platelet transfusions in preterm infants are associated to a higher risk of death, sepsis, and NEC and, possibly, to a higher incidence of IVH. Further studies are needed to confirm these associations, namely between PTx and IVH, and to define the threshold from which PTx should be given with less harm effect.

What is Known:• Platelet transfusions are given to preterm infants with thrombocytopenia either to treat bleeding or to prevent hemorrhage.• Lack of consensual criteria for transfusion.

What is New:• A significant association between platelet transfusions and mortality, sepsis, and NEC.
To be, or not to be: the dilemma of immunotherapy for non-small cell lung cancer harboring various driver mutations
Authors: Cai Ruoxue , Zhu Hongyu , Liu Ying , Sha Huanhuan , Peng Weiwei , Yin Rong , Zhou Guoren , Fang Ying 
Published: June 2023

Abstract
Introduction
Lung cancer is one of primary cancer type with high incidence and mortality, non-small cell lung cancer (NSCLC) is the most common type of lung cncer. For advanced lung cancer, traditional chemotherapy and targeted therapy become difficult to solve the dilemma of further progress. In recent years, with the clinical application of immunotherapy, the therapeutic strategy of lung cancer has changed dramatically. At present, immunotherapy has shown conspicuous efficacy in NSCLC patients with high expression of programmed death-ligand 1 (PD-L1) and high tumor mutational burden (TMB). The discovery of driver mutations brings delightful hope for targeted cancer therapy. However, it remains controversial whether immunotherapy can be used in NSCLC patients with these specific driver mutations.

Method
This article summarized the latest research progresses of immunotherapy in advanced NSCLC. We paid close attention to the relevance of various driver mutations and immunotherapy in NSCLC patients, and summarized the predictive effects of several driver mutations and immunotherapy.

Results
The mutations of KRAS, KRAS+TP53, EPHA (especially EPHA5), ZFHX3, ZFHX3+TP53, NOTCH, BRAF and LRP1B+FAT3 have potential to be used as biomarkers to predict the positive effectiveness of immunotherapy. ZFHX3, ZFHX3+TP53, STKII/LKB1+KEAP1+SMARCA4+PBRM1 mutations in LUAD patients get more positive effect in immunotherapy. While the mutations of EGFR, KEAP1, STKII/LKB1+KRAS, EML4-ALK, MET exon 14 skipping mutation, PBRM1, STKII/LKB1+KEAP1+SMARCA4+PBRM1, ERBB2, PIK3CA and RET often indicate poor benefit from immunotherapy.

Conclusion
Many gene mutations have been shown to be associated with immunotherapy efficacy. Gene mutations should be combined with PD-L1, TMB, etc. to predict the effect of immunotherapy.
Gastric cancer cell types display distinct proteasome/immunoproteasome patterns associated with migration and resistance to proteasome inhibitors
Authors: Monittola Francesca , Bianchi Marzia , Nasoni Maria Gemma , Luchetti Francesca , Magnani Mauro , Crinelli Rita 
Published: June 2023

Abstract
Purpose
Gastric cancers (GC) display histological and molecular differences. This heterogeneity has limited the development of new therapeutic strategies which requires the identification of the molecular players involved in GC pathogenesis and the investigation of their responsiveness to drugs. Several proteasome subunits have been identified as prognostic markers in GC and their role studied by gene knockdown. However, proteasomes are multi-subunit protein complexes co-existing in multiple forms with distinct activity/specificity and ability to change in response to inhibitors. Information on the role of different proteasome particles in cancer and their relevance as therapeutic targets is limited.

Methods
Based on this evidence, subunit assembly into proteasome complexes and activity were investigated by native PAGE followed by immunoblotting, and by using fluorogenic substrates, respectively.

Results
Here we show that GC cell lines with epithelial and/or diffuse Lauren’s histotype express different levels of immunoproteasome subunits and equal amounts of constitutive counterparts. Immunoproteasome subunits were highly expressed and preferentially assembled into 19S capped complexes in diffuse-type cells, where most of the activity was catalyzed by the 26S and 30S particles. In epithelial cells, activity appeared equally distributed between 19S- and 11S-capped proteolytic particles. This proteasome pattern was associated with higher resistance of diffuse-type cells to proteasome inhibition. Immunoproteasome inhibition by ONX 0914 did not influence cell viability but affected metastatic cell migration.

Conclusions
These results suggest that pharmacological inhibition of the immunoproteasome may be useful in treating metastatic gastric cancers.