bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cooling Pattern on the Run-out Table of a Hot Rolling Mill for an HSLA Steel: A Finite Element Analysis
Authors: Yazdani Saba , Tavakoli Mohammad Reza , Niroomand Mohammad Reza , Forouzan Mohammad Reza 
Published: December 2023

Abstract
The cooling process of a hot rolled strip on the run-out table (ROT) mainly determines the microstructure and mechanical properties of the final product, therefore, a method of investigation that helps companies following optimum cooling scenario is a profound issue. This paper develops a 2D finite element model based on industrial data that predicts the cooling pattern of hot rolled strips having the potential of being formulated on steel grade dealing with complex boundary conditions flexible to be applied for any cooling table. Meanwhile, this model investigates the thermal behavior of strips facing different heat transfer mechanisms in the full-scale ROT of Mobarakeh Steel Company (MSC). Moreover, coiling temperature (CT) and cooling pattern are validated through experimental data obtained from the Evraz hot rolling mill. Regarding the simulation of various header configurations, each four-header bottom bank, and upper laminar and water curtain headers deliver 10℃/s, 10.66 ℃/s, and 7.85 ℃/s of cooling rate, respectively. The simulations also predict the heat flux in the impingement, parallel, and air-cooling zones to be in the range of 4000-12000, 500-2500, and 80-400 (w⁄(m2 K)) on the top surface, and 21000-5400, 700-4200, and 380-170 (w⁄(m2 K))on the bottom surface, respectively. According to the temperature-dependent attitude of steel properties, the effect of strip's thermo-physical properties on the heat transfer along ROT were examined that illustrates the significant impact of specific heat on cooling, which leads to the endorsement of the functionality of early cooling compared to delayed and distributed strategies for the investigated HSLA steel.
Factors associated with fall severity Among Older Patients Admitted to the Emergency Department in Guadeloupe (French West Indies): A retrospective cohort study
Authors: Simo nadine , laurys letchimy , ludwig Mounsamy , Boucaud-Maître Denis , Teguo Maturín Tabue , mallet guillaume , Vainqueur Larissa , Rinaldo leila , essomba marie-josiane Ntsama 
Published: December 2023

Abstract
Introduction:
Falls are a common geriatric syndrome in older people. Falls are associated with adverse health events such as dependency, unplanned emergency admissions and death. This study aimed to identify factors associated with fall severity (hospitalization) in patients aged 70 years and over admitted to the emergency department in Guadeloupe.
Method:
Single-center, observational, retrospective study of patients aged 70 years and over, admitted to the emergency department (ED) of the University Hospital of Guadeloupe for a fall, between 1 May 2018 and 30 April 2019. Fall severity was defined as the need for hospitalization. Bivariate analysis was used to determine the associations between fall severity and sociodemographic characteristics, comorbidities, history of falls and polypharmacy (defined as the daily use of at least 5 drugs). Polypharmacy was analyzed as a binary variable (yes/no), and in categories (0–3 (ref.), 4–6, 7–9 and ≥ 10 drugs).
Results:
During the study period, 625 patients who attended the ED for a fall were included. Mean age was 82.6 ± 7.6 years, 48.8% were men. Of these, 277 patients (44.3%) were admitted to the hospital, and three patients (0.5%) died. In bivariate analysis, only polypharmacy was associated with hospitalization for fall (OR: 1.63 [95%CI: 1.33–2.02]). The odds ratios for polypharmacy categories were 1.46 [95%CI 0.99 − 2.14], 1.65 [1.09–2.50] and 1.48 [0.76–2.85] for 4–6, 7–9 and ≥ 10 drugs respectively.
Conclusion:
Polypharmacy was associated with hospitalization as a proxy for fall severity. Regular review of drug prescription is essential to reduce polypharmacy in older adults.
Open cross-domain data fusion for fault diagnosis of complex equipment
Authors: Sun xianbin , Yanling Sun , Meiqi Dong , He Sun , Ao Chen 
Published: December 2023

Abstract
In order to address the technical challenge of acquiring a significant number of fault samples from actual industrial sites, this paper proposes a fault diagnosis method that utilizes a deep learning model driven by cross-domain data fusion. Firstly, a high-fidelity digital twin model of a planetary gearbox fault diagnosis test platform is constructed, enabling the acquisition of simulated vibration signals from the real-time speed drive model. Secondly, empirical mode decomposition is applied to both the simulated fault signal and the measured normal signal. Three IMF components with high variance contribution rates of the measured normal signal are screened and reconstructed with the IMF component of the simulated fault signal to generate the fused signal. Then, a deep residual network model based on the channel attention mechanism is constructed. Finally, the network models are trained and tested using the acquired data. Evaluation indices, such as recall and accuracy, are employed to evaluate the engineering reliability of the fused data. The experimental results demonstrate that the proposed cross-domain data fusion-driven method offers a novel approach to address the technical challenge of limited fault samples in actual industrial sites.
Chaos synchronization of two coupled map lattice systems using safe reinforcement learning
Authors: Ding Jianpeng , Lei Youming , Xie Jianfei 
Published: December 2023

Abstract

Compared to the synchronization of continuous-time chaotic systems which will usually satisfy the Lipschitz condition, rapid trajectory divergence is a key challenge in the synchronization of two high-dimensional discrete chaotic systems, for example two coupled map lattice systems. As a result, there is not yet a universal approach to the synchronization task in high-dimensional discrete chaotic systems. To overcome the challenge, hard constraints on the system states must be satisfied, which is defined as safety level III. We propose a safe reinforcement learning (RL) method with this high safety level. In this method, the RL agent’s policy is used to reach the goal of synchronization and a safety layer added directly on top of the policy is used to guarantee hard state constraints. The safety layer consists of a one-step predictor for the perturbed response system and an action correction formulation. The one-step predictor, based on a next generation reservoir computing, is used to identify whether the next state of the perturbed system is within the chaos domain, and if not, the action correction formula is activated to modify the corresponding perturbing force component to zero. According to the boundedness of chaotic systems, the state of the perturbed system will remain in the chaotic domain without diverging. We demonstrate that the proposed method succeeds in the task of synchronization without trajectory divergence through a numerical example with two coupled map lattice systems. We compare the performance in both cases with and without the safety layer to emphasize the significance of the safety layer and analyze the effect of hyper-parameters on the performance and stability of the algorithm.
3D Plasmonic Multilayered Gold Nanoarchitecture for Multiple Cancer Diagnosis Using SERS and Machine Learning-Assisted Liquid-Phase Human Urine Sensing
Authors: Jung Ho Sang , Ja’farawy Muhammad Shalahuddin Al , Linh Vo Thi Nhat , Yang Jun-Yeong , Mun Chaewon , Lee Seunghun , Park Sung-Gyu , Han In Woong , Choi Samjin , Lee Min-Young , Kim Dong-Ho 
Published: December 2023

Abstract
To develop onsite applicable cancer diagnosis technologies, a noninvasive human biofluid detection method with high sensitivity and specificity is required, available for classifying cancer from the normal group. Herein, a clinical assay platform of a 96-well plate is developed with three-dimensional plasmonic Au nanolaminate/Au nanoparticle/Au nanosponge (3D AuNL/AuNP/AuS) to generate volumetric hotspots in the space. The nanostructure has been demonstrated for liquid-phase human urine detection, which proves more effective for molecular detection in the presence of Brownian motion. Subsequently, cancer metabolite candidates are investigated to verify the metabolic alternation of multicancer, including pancreatic, prostate, lung, and colorectal cancers, simultaneously classifying them into five different groups, including normal, using machine-learning methods. The integration of nanomaterials with the conventional clinical platform provides rapid and high-throughput multicancer diagnostic system and opens a new era for noninvasive diseases diagnosis using clinical human biofluids.
The Greatwall-Endosulfine-PP2A/B55 pathway controls entry into quiescence by promoting translation of Elongator-tuneable transcripts
Authors: Moreno Sergio , Dedo Javier Encinar del , Segundo Rafael López-San , Vázquez-Bolado Alicia , Sun Jingjing , García-Blanco Natalia , Suárez M. Belén , García Patricia , Tricquet Pauline , Chen Jun-Song , Dedon Peter , Gould Kathleen , Hidalgo Elena , Hermand Damien 
Published: December 2023

Abstract

Quiescent cells require a continuous supply of proteins to maintain protein homeostasis. In fission yeast, entry into quiescence is triggered by nitrogen stress, leading to the inactivation of TORC1 and the activation of TORC2. Here, we report that the Greatwall-Endosulfine-PPA/B55 pathway connects the downregulation of TORC1 with the upregulation of TORC2, resulting in the activation of Elongator-dependent tRNA modifications essential for sustaining the translation programme during entry into quiescence. This process promotes U34 and A37 tRNA modifications at the anticodon stem loop, enhancing translation efficiency and fidelity of mRNAs enriched for AAA versus AAG lysine codons. Notably, some of these mRNAs encode inhibitors of TORC1, activators of TORC2, tRNA modifiers, and proteins necessary for telomeric and subtelomeric functions. Therefore, we propose a novel mechanism by which cells respond to nitrogen stress at the level of translation, involving a coordinated interplay between the tRNA epitranscriptome and biased codon usage.
Analyzing the Dynamic Relationship Between ESG Scores and Firm Value in Chinese Listed Companies: Insights from Cross-Lagged Analysis
Authors: Wedajo Abel Dula , Bhat Mohd. Abass , Khan Shagufta Tariq , Iqbal Robina , Salah Abdullah Abdulaziz , Berhe Mesfin Welderufael 
Published: December 2023

Abstract
The relationship between a company's Environment, Social and Governance (ESG) scores and market value dynamics has been the focus of extensive research. Our study aimed to provide insights into this relationship and its implications for Chinese investors. We used a general Cross-lagged panel model to analyze data from 652 Chinese-listed companies from 2013 to 2019. Our findings indicate that ESG scores have a long-term impact on market value, with a consistently positive correlation between the two. We also discovered that Chinese investors consider ESG factors when evaluating a company's financial health. Companies that prioritize ESG factors are more likely to attract investment. Moreover, the diffusion of ESG information happens slowly, and past ESG performance influences future ESG performance. Thus, maintaining good ESG performance is crucial for long-term sustainability and success. Overall, our study highlights the importance of considering ESG factors when evaluating financial health and making investment decisions, providing valuable insights for firms and investors alike.
Characterising the main drivers and barriers for adoption of self-care behaviours in the workplace: a cross- sectional study of professionals in the UK
Authors: El-Osta Austen , Alaa Aos , Karki Manisha , Bagkeris Emmanouil , Majeed Azeem 
Published: December 2023

Abstract
Background
Workplace Health Promotion (WHP) is a vital aspect of public health, especially considering that the working population spends a significant proportion of adult life at work. WHP activities range from single interventions to complex multi-level health interventions aimed at improving the quality of life and productivity of workers. The aim of this study was to explore the barriers and enablers for the routine adoption of health-seeking self-care behaviours in the workplace.
Methods
This cross-sectional study used an online survey targeting a convenience sample of white-collar and blue-collar professionals in the UK. The survey, available between October 2022 and July 2023, included 34 questions covering demographic data and perspectives on self-care behaviours in the workplace. Quantitative data were analysed using statistical methods to identify associations between various factors and self-care behaviours.
Results
The demographic profile of 1078 participants (showed a diverse range of ages, genders, ethnicities and educational backgrounds, with most participants working in private organizations. There was a near-even split in perceptions of employer support for healthier lifestyles, with significant associations between employer support and various demographic and occupational factors. Key barriers to self-care identified included time constraints, lack of motivation and perceived cost. Stress, anxiety and burnout were common health impacts among employees. Motivation for self-care was significantly influenced by the size of the organization, managerial status and perceptions of workplace health interventions.
Conclusions
The study highlights the importance of employer support in facilitating self-care behaviours in the workplace. Factors like organizational size, managerial status, and inclusive work environments significantly influence employees' perceptions and engagement in self-care activities. The findings underscore the need for comprehensive workplace health policies and programs that address diverse employee needs and encourage a culture of health and wellbeing. This study provides valuable insights for organizations aiming to create healthier and more productive workspaces.
Design and Experimental Study of Flexible Adsorption and Localization Mechanism for Vegetable Grafting Machines
Authors: Li Yanjun , Wang Chao , Wu Hongxin , Zhao Yaqian , Song Jian 
Published: December 2023

Abstract

Because of the lack of good seedling positioning during vegetable grafting, there are issues such as high labor costs and long grafting time. This article proposes a negative pressure suction seedling positioning method for seed leaves based on the characteristic parameters of cucumber spike wood, and designs a flexible adsorption positioning mechanism for spike wood. Firstly, the ventral surface curve trajectories of cucumber cotyledons were extracted using Matlab software, and then a shape-adaptive design was applied to the attachment surface of the flexible suction positioning mechanism, and a computational fluid dynamics model of the airflow field was established. By combining Fluent simulation analysis with orthogonal experiments, the effect of suction hole diameter, vacuum negative pressure value, suction hole quantity, and suction hole depth on the adsorption effect of the suction head was analyzed, the main and secondary factors and operational indicators that affect the adsorption effect are evaluated. The optimal parameter combination: suction hole diameter of 1.5mm, vacuum negative pressure value of 2kPa, suction hole quantity of 42, and suction hole depth of 2mm, has been found. A verification experiment was conducted on a test bench, and the experimental results show that the success rate of leaf absorption using the optimal parameter combination is 98.33%, which indicates that the suction head is designed reasonably and meets the requirements of grafting.
Cognitive function of children with biliary atresia after primary living donor liver transplantation
Authors: wang tingge , Hu Yan , Zhang Zhanzhan , Dai Xiaoke , Zhang Mingman , He Yan , Li Yingcun 
Published: December 2023

Abstract
Background
Biliary atresia (BA) is a serious disease in infants that leads to liver cirrhosis and failure. Most patients die within 2 years of age in the absence of surgery. Therefore, we aimed to evaluate the cognitive function and explore influencing factors in young children with BA after primary living donor liver transplantation (BA-pLDLT) during infancy.
Methods
Children with BA were recruited 6 months after pLDLT at Children's Hospital of Chongqing Medical University (2018–2022). Demographic and clinical data were collected from the health information system. Cognitive function was assessed using the Chinese version of the Griffiths Mental Development scale (GMDS-C). Multivariate linear regression were used to analyze the influencing factors of cognitive function.
Results
In total, 57 children with BA -pLDLT, aged 5.00(3.90–9.30) months at transplantation and 25.00(14.00-60.80) months at evaluation were included. The general developmental quotient (89.02 ± 12.07) and motor, language, eye-hand coordination, performance, and practical reasoning quotients were significantly lower than the normative mean values of GMDS-C(P < 0.05). Of the 57 children, 16 (28.07%) had borderline developmental delay (70–84), 3 (5.26%) had developmental delay (< 70), and 11(19.29%) had language delay. Reoperation for biliary or vascular complications after transplantation was a risk factor for decreased general and motor developmental quotients (AQ) and low ZW at assessment was associated with decline AQ.
Conclusion
Children with BA-pLDLT have varying degrees of developmental delays during early life. Reoperation and nutritional deficiencies had adverse effects on cognition.
Density Estimation-based Stein Variational Gradient Descent
Authors: Kim Jeongho , Lee Byungjoon , Min Chohong , Park Jaewoo , Ryu Keunkwan 
Published: December 2023

Abstract

Approximating a target distribution is important in many statistical problems, such as Bayesian inference. We introduce a variant of Stein variational gradient descent, called the density estimation-based Stein variational gradient descent (DESVGD). DESVGD utilizes kernel density estimation techniques to replace the empirical measure in SVGD with its continuous counterpart, which allows direct computation of the KL divergence between the current approximation and the target and thereby helps monitoring the numerical convergence of the iterative optimization process. DESVGD also offers derivatives of the KL divergence, which can be used to better design learning rates and thus to achieve faster convergence. By simply replacing the kernel used in SVGD with its weighted average, the implementation of DESVGD reduces to that of SVGD. Our numerical experiments demonstrate that DESVGD well approximates the target distribution and that it outperforms the original SVGD in terms of approximation quality.
Manufacturing of 2507 Superduplex Stainless Steel by Laser Powder-Directed Energy Deposition: process optimization and microstructure analyses
Authors: Ballésio Sébastien , Hong Thai Le , Dhondt Matthieu , Doudard Cédric , Szmytka Fabien 
Published: December 2023

Abstract

This paper presents a thorough manufacturability study of superduplex 2507 stainless steel (SDSS) produced by the Laser Powder-Directed Energy Deposition (LP-DED) process. First, experimental observations on single-track surface morphology and geometrical characteristics are described. Then, dimensional and porosity analyses of thin walls and bulk samples are presented and discussed in order to identify the optimal process parameter combinations, from a process point of view, for further characterizations to determine general properties of LP-DED-printed samples. Finally, the results obtained on a wrought steel of the same grade are finally compared to those of the printed material in terms of microstructure, texture and ferrite/austenite ratio. A set of meticulously chosen process parameters with regard to the process and the machine (nozzle size, maximum power deliverable) gives the optimal results for the as-built LP-DED material in terms of porosity and microstructure quality but with smaller grains (irrespective of the phase studied) and a higher proportion of ferrite (about 75 %).
Effective and ineffective psychological adjustment in breast cancer patients before receiving neoadjuvant chemotherapy: insights from a cohort study
Authors: Omari Majid , Kriya Salima , Nadi Sara , Zerhouni Ghita , Abbass Chaymae El , Asri Achraf El , Benbrahim Zineb , Mellas Nawfel , Rhazi Karima El , Ragala Mohammed El Amine , Hilaly Jaouad El , Halim Karima , Amaadour Lamiae , Zarrouq Btissame 
Published: December 2023

Abstract

Background: The timing of a breast cancer (BC) diagnosis has a significant psychological impact on patients. However, it reported that those eligible for treatment regimens based on neoadjuvant chemotherapy may experience high levels of depression, anxiety and distress. To cope with this situation, patients deploy psychological coping strategies. The aim of this study is to explore effective and ineffective psychological adjustment mobilized by Moroccan patients newly diagnosed with BC and before receiving neoadjuvant chemotherapy, as well as to identify their associations to socio-demographic and clinical determinants.
Materials and Methods: A total of 209 patients were recruited in outpatient in oncology department in the public oncology hospital of Fez city, between 2021 and 2023. Ethics approval was obtained for this study and patients has signed an informed consent form. The questionnaire interview included socio-economic and clinical variables and the Arabic version of Mini-Mental Adjustment to Cancer (Mini-MAC) scale, which measures the strategies of mental adjustment to disease, as fighting spirit (FS), hopelessness/helplessness (HH), anxious preoccupations (AP), cognitive avoidance (CA), fatalism (FA), “maladaptive coping” and “adaptive coping”. Bivariate analysis of psychological adjustment strategies and sociodemographic and clinical variables was carried out using statistical tests according to the nature of the variables, to their normality and the homogeneity of their variances. Univariate and multivariate linear regression modelling was carried out using a forward "enter" regression procedure.
Results: A mean age of 47.43±9.45 was found among participants. Assessment of mental adjustment to cancer using Mini-MAC scores revealed that psychological adjustment strategies with a higher mean score were FA, FS and "adaptive coping" strategies. Based mainly on multiple linear Regression, monthly family income was negatively associated with HH, and FS and positively linked to FA and “adaptive coping” strategies. Moreover, the left side as BC laterality was negatively associated with AP and “maladaptive coping” strategies. Furthermore, positive ER status was negatively associated with HH and “maladaptive coping” strategies and high Ki-67 levels were positively linked to AP.
Conclusion: Programs to strengthen psychological adjustment in patients with BC candidates for NACT, taking into consideration the determinants found associated in this study, are of great importance since the first oncology consultation.