bluuebunny/crossref_metadata_2025 huggingface dataset:
Chaos synchronization of two coupled map lattice systems using safe reinforcement learning
Authors: Ding Jianpeng , Lei Youming , Xie Jianfei
Published: December 2023

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

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

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

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

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

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

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

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

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

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.
A new method for localization the residual stress distribution and enhancement wear resistance through underwater friction stir processing with stationary shoulder
Authors: arezoudar alireza fallahi , hosseini akbar
Published: December 2023

A new method to achieve friction stir processed parts with higher wear resistance and lower residual stress values was presented. The underwater stationary shoulder FSP process (USSFSP) was investigated using experimental and numerical methods. Also, the presented process was compared with the conventional underwater FSP method (UCFSP). An improved CEL simulation method was used to prevent errors in the contact boundary between Eulerian and Lagrangian domains. Heat input was reduced significantly and resulted in a fine microstructure with higher microhardness and lower residual stresses. Temperature field was concentrated around the pin and caused a symmetrical residual stress distribution. The distribution area of Von-Mises and longitudinal stresses during the USSFSP was significantly narrower than the UCFSP process. The stress distribution around the UCFSP tool was compressive and tensile stress was produced at further distances. However, the longitudinal stress distribution in the USSFSP was completely opposite. Tensile stress was generated in the lower part of the thickness and compressive stress in the upper part and in locations away from the centerline. This method caused the formation of a compressive residual stress region and considerably reduced the width of the tensile residual stress zone. By increasing the hardness and decreasing the residual stress level, the USSFSP proved to be instrumental in improving the material's wear resistance. The wear rate in the stir zone undergoes a substantial reduction, decreasing from 5.6x10-3 mm3/m in UCFSP to 1.4x10-3 mm3/ m in USSFSP.
Heavy rainfall concentration changes in South China during the first rainy season of 1965 - 2016
Authors: Li Hui , Zhao Liang , Hu Yamin , yu chao
Published: December 2023

The first rainy season in South China (SC) is a concentrated precipitation season, however, it is unclear that in such concentrated precipitation season, characteristics of heavy precipitation concentration degree in SC during the past 50 years. Based on daily precipitation observation data of 192 stations in SC during the first rainy season (April-June) for 1965–2016, the study investigated and analyzed the temporal and spatial variations of the heavy precipitation concentration index (Q index for short). Results showed that the intensity of heavy precipitation over most regions of SC exhibited an increasing trend. The multi-year mean Q index of the heavy precipitation at different stations varied between 0.3 and 0.6, with an average value of 0.375. The heavy precipitation has a concentration trend in the SC inland and western mountain areas and a dispersion trend in the SC coastal area. Notably, both heavy precipitation and the Q index in most inland and western mountain areas showed an increasing trend, denoting a higher flooding risk there. On the other hand, for the duration of heavy precipitation, the 2-day duration of heavy rainfalls had an increasing trend in inland, western Mountain and East Guangdong. The 3-day duration of rainfalls tended to increase steadily in coastal areas and East Guangzhou, and the 4-day duration of rainfalls increased only in the coastal region. In conclusion, the shorter duration heavy precipitation decreased, while the longer ones increased especially in the coast and East Guangdong, which can contribute to the decrease in the Q index but can not denote a decrease in flooding risks. The possible cause may be attributed to the long-duration heavy rainfall that happened in the West Mountain, East Guangdong and Southeast Coast. On the other hand, the frequency and intensity of ongoing heavy precipitation events in coastal cities of South China have increased significantly.
OSK: Optimal Subsampling Method Based on K-means Clustering for Imbalanced Big Data
Authors: Li Li-li , Xiao Heng , Wang Yu , Shi Haolun , Cao Jiguo
Published: December 2023

While existing methodologies have effectively addressed big data subsampling, there is a noticeable gap in research concerning imbalanced subsampled data. To tackle the unique challenge of low specificity in the minority class within highly imbalanced datasets, we introduce the Optimal Subsampling technique rooted in K-means clustering (OSK). This method is specifically designed for massive yet imbalanced datasets. Our proposed approach employs an optimal subsampling mechanism to extract representative subsamples and utilizes K-means clustering to transform imbal-anced subsamples into multiple balanced datasets. In the spirit of ensemble learning, the OSK method generates predictions by averaging predicted values from multiple models and subsequently derives categorical decisions. The effectiveness of the OSK method is substantiated through extensive simulation studies and a real-world data example. Its superiority is evident in terms of shorter running time and higher classification accuracy when compared to existing methods.
Chelating Effect of Alizarin-Oxalate on La3+ and Nd3+ in Acidic, Basic and Neutral Medium: A DFT study
Authors: Pati Anindita , Kundu T. K. , Pal Snehanshu
Published: December 2023

This study focuses on conducting a comparative study of the extraction capacities of alizarin-oxalate (AR-Ox) ligands with La3+ and Nd3+ in acidic, neutral, and alkaline mediums. Density functional theory (DFT) calculations at ωB97X-D/6-311 + + G(d,p)/SDD level have been performed for structural, thermo-chemical, frontier-orbital (highest occupied molecular orbitals (HOMO) and lowest unoccupied molecular orbitals (LUMO)), natural bond orbital (NBO), reduced density gradient (RDG), and density of state (DOS) analysis for alizarin-oxalate-La(III) (AR-Ox-La) and alizarin-oxalate-Nd(III) (AR-Ox-Nd) complexes. The bonding characteristics of La3+ & Nd3+ ions with alizarin-oxalate ligand have been analysed using the quantum theory of atoms in molecules (QTAIM), revealing the presence of an intermediate type of bond between closed-shell (CS) and shared-shell (SS) electrons in (La/Nd)-O, (La/Nd)-C. The reduced density gradient (RDG) and iso-surface generated through the Multiwfn program shows mostly hydrogen-like and Van-der-Waal interaction between La3+/Nd3+ and oxygen atoms of alizarin-oxalate ligand except for some of the complexes showing the presence of non-bonded/repulsive (La/Nd)-O interaction. Thermo-chemical, DOS, and natural bond orbital analysis reveals alizarin-oxalate-( La3+/Nd3+) complexes in the alkaline medium is more stable than in neutral and acidic medium, and the stability of AR-Ox-Nd complexes is more than AR-Ox-La complexes. This work illustrates the subtle differences in chelating properties of alizarin-oxalate ligands with La3+ and Nd3+ for designing new ligands for efficient selective lanthanide separation.
Gγ-protein GS3 function downstream of OsmiR396/GS2 module to regulate grain size in rice
Authors: Zhu Lin , Shen Yanjie , Dai Zhengyan , Miao Xuexia , Shi Zhenying
Published: December 2023

Rice is one of the main crops in the world which provides food for more than one half world population. Grain size is tightly associated with grain weight, one of the three components determining yield in rice. Quite a few grain size determining quantitative trait loci (QTLs) have been identified, and several grain size-regulating signaling pathways been formed. Here, we showed that in the MIM396 plants, expression of GS3 gene was influenced. Through various biochemical assays, we proved that the miR396/GS2 module could directly regulate the Gg-protein GS3 to regulate grain size. Moreover, tight genetic association existed between miR396/GS2 and GS3. Moreover, other G-protein factors might also be connected with miR396/GS2 module, and thus factors from different pathways form a network to regulate grain size. Therefore, elucidation of these crosstalk would not only further our understanding of the molecular mechanism of grain size regulation, but also help guide modern crop breeding.
A simple electrochemical way to probe the surface area of zinc electrodeposition
Authors: FREVILLE Mathieu BA , ABDELGHANI-IDRISSI Soufiane , TREGOUET Corentin , BRAHMI Youcef , COLIN Annie
Published: December 2023

The electrochemistry of zinc deposition is a crucial topic for the development of disruptive Zn-based energy storage technologies. As example, zinc-air battery is a promising energy-storage system in the context of energy transition: it exhibits impressive properties regarding fabrication cost, recyclability, and energy density performance. However, these systems still suffer from a low cycle life, mainly due to non-homogeneous zinc deposition (such as dendritic growth). The morphologies of deposited zinc are usually observed at the end of the battery life after the opening of the cell. They require costly equipment such as tomography. We propose in this paper an easily implementable method to probe the morphology and the effective surface area of zinc electrodes during the electrodeposition process. This method does not require the need of opening the cell and can be done directly by several electrochemical measurements between the charge phases. This in-situ characterization method allows to investigate the state of a morphology-changing electrode, and thus pave the way for controlling and regulating the morphology of deposited zinc in real-life battery applications. This outcome could lead to curative electrochemical protocols, in order to limit and prevent the short-circuit caused by non-homogeneous metallic deposition and thus extend battery life.
Enhanced accuracy through machine learning-based simultaneous evaluation: a case study of RBS analysis of multinary materials
Authors: Magchiels Goele , Claessens Niels , Meersschaut Johan , Vantomme André
Published: December 2023

We address the high accuracy and precision demands for analyzing large in situ or in operando spectral data sets. A newly developed dual-input artificial neural network (ANN) algorithm enables the compositional and depth-sensitive analysis of multinary materials by simultaneously evaluating spectra collected under multiple experimental conditions. To validate the developed algorithm, a case study was conducted analyzing complex Rutherford backscattering spectrometry (RBS) spectra collected under two scattering geometries. The dual-input ANN analysis excelled in providing a systematic analysis and precise results, showcasing its robustness in handling complex data and minimizing user bias. A comprehensive comparison with human supervision analysis and conventional single-input ANN analysis revealed a reduced susceptibility of the dual-input ANN analysis to inaccurately known setup parameters, a common challenge in material characterization. The developed multi-input approach can be extended to a wide range of analytical techniques, in which the combined analysis of measurements performed under different experimental conditions is beneficial for disentangling details of the material properties.
A Deep Learning Approach to ECG Classification for Atrial Fibrillation, Normal Sinus Rhythm, and Congestive Heart Failure.
Authors: Sadigale Rohit , Nale Saurabh , Kamble Pawan , Wanave Rohit
Published: December 2023

Deep learning approaches for medical signal processing have received a lot of interest in recent years, especially in the field of electrocardiogram (ECG) categorization. This study investigates the effectiveness of using the AlexNet architecture, a well-known convolutional neural network (CNN) model, for reliable ECG data categorization. Our suggested model has attained an accuracy of 99.21% after extensive experimentation and validation, indicating its ability to distinguish various cardiac anomalies. The research includes the creation and refinement of a unique AlexNet-based CNN model adapted to the difficulties of ECG data. Using AlexNet's deep hierarchical features, our model outperforms in capturing complicated patterns and minor fluctuations within ECG data.
RCoCo: Contrastive Collective Link Prediction across Multiplex Network in Riemannian Space
Authors: Sun Li , Li Mengjie , Yang Yong , Li Xiao , Liu Lin , Zhang Pengfei , Du Haohua
Published: December 2023

Link prediction typically studies the probability of future interconnection among nodes with the observation in a single social network. More often than not, real scenario is presented as a multiplex network with common (anchor) users active in multiple social networks. In the literature, most existing works study either the intra-link prediction in a single network or inter-link prediction among networks (a.k.a. network alignment), and consider two learning tasks are independent from each other, which is still away from the fact. On the representation space, the vast majority of existing methods are built upon the traditional Euclidean space, unaware of the inherent geometry of social networks. The third issue is on the scarce anchor users. Annotating anchor users is laborious and expensive, and thus it is impractical to work with quantities of anchor users. Herein, in light of the issues above, we propose to study a challenging yet practical problem of Geometry-aware Collective Link Prediction across Multiplex Network. To address this problem, we present a novel contrastive model, RCoCo, which collaborates intra- and inter-network behaviors in Riemannian spaces. In RCoCo, we design a curvature-aware graph attention network (κ−GAT), conducting attention mechanism in Riemannian manifold whose curvature is estimated by the Ricci curvatures over the network. Thereafter, we formulate intra- and intercontrastive loss in the manifolds, in which we augment graphs by exploring the high-order structure of community and information transfer on anchor users. Finally, we conduct extensive experiments with 14 strong baselines on 8 real-world datasets, and show the effectiveness of RCoCo.
The impact of mobility costs on cooperation and welfare in spatial social dilemmas
Authors: Bara Jacques , Santos Fernando P. , Turrini Paolo
Published: December 2023

From over-exploitation of resources to urban pollution, sustaining well-being requires solving social dilemmas of cooperation. Often such dilemmas are studied assuming that individuals occupy fixed positions in a network or lattice. In spatial settings, however, agents can move, and such movements involve costs. Here we investigate how mobility costs impact cooperation dynamics. To this end, we study cooperation dilemmas where individuals are located in a two-dimensional space and can be of two types: cooperators – or cleaners, who pay an individual cost to have a positive impact on their neighbours – and defectors – or polluters, free-riding on others effort to sustain a clean environment. Importantly, agents can pay a cost to move to a cleaner site. Both analytically and through agent-based simulations we find that, in general, introducing mobility costs increases pollution felt in the limit of fast movement (equivalently slow strategy revision). The effect on cooperation of increasing mobility costs is non-monotonic when mobility co-occurs with strategy revision. In such scenarios, low (yet non-zero) mobility costs minimise cooperation in low density environments; whereas high costs can promote cooperation even when a minority of agents initially defect. Finally, we find that heterogeneity in mobility cost affects the final distribution of strategies, leading to differences in who supports the burden of having a clean environment.
Seismic response of a cliff-attached structure based on soil-structure interaction effect
Authors: Yang ZhuoXin , Mi Yuancheng , Li Hong , Ban Tao , Liu Kai , Guo Zhongfa , Liu Dewen , Sun Weiwei
Published: December 2023

Cliff-attached constructions denote structures that align with and directly attach to the vertical interface of a mountain cliff. Cliff-attached constructions, compared to conventional building structures, become particularly complex when considering the interaction between soil and structure due to the unequal height of the grounded foundation, which requires deeper studies. This study investigates the influence of variable parameters in soil-structure interaction (SSI) on the seismic performance of such structures, based on which three different models of cliff-attached structures were established for analysis,naming,the cliff-attached structure without SSI effects,the model with traditional SSI effects,and the model with variable-parameter SSI effects. Seismic inputs are assessed in both transverse and down slope directions. The results indicate that the seismic response of cliff-attached structures increases as shear wave velocity decreases while considering SSI effects. SSI effects are most pronounced on the upper grounding layers of the structure and its upper layers' dynamic response. Seismic responses in the down slope direction are markedly lower than those in the transverse direction. In the transverse direction，cliff-attached structures display pronounced torsional effects, resulting in a torsional effect roughly 1.4 times greater at a shear wave velocity of 100 m/s than at 700 m/s. The upper grounding layers of cliff-attached structures experience significant deformation and stress concentration. Considering variable-parameter SSI effects in mountainous regions results in more accurate and reliable seismic responses for cliff-attached structures.
Autism spectrum disorder and the risk of supernumerary teeth: A multi-centre cohort study
Authors: Lai Yin-Chen , Chan Shu-Yen , Misra Madhusmita , Magee Jennifer A , Liu Chia-Chien , Neumeyer Ann M , Ma Kevin Sheng-Kai
Published: December 2023

Aim To assess whether children diagnosed with autism spectrum disorder (ASD) are at risk of having supernumerary teeth (SNT).
Methods This was a multi-centre cohort study conducted between 2008 and 2022 to recruit children under 18 years of age who were previously diagnosed with ASD. Data on age, sex, and comorbidities history were collected and adjusted in the analyses. Cox proportional hazard models and Kaplan-Meier analyses were conducted to determine the effect of ASD on SNT. Subgroup analyses based on age and sex stratification were developed to identify at-risk subpopulations.
Results A total of 3,372 cases with ASD and 25,942 controls were included. 15 children with ASD and 31 non-ASD children were diagnosed with SNT during the follow-up period. The incidence of SNT was significantly higher in the ASD group compared to the non-ASD group (1.827 vs 0.671 per 1000 person-years, adjusted hazard ratio, aHR=2.583, 95% CI=1.312-5.085). Male children with ASD (aHR=3.863, 95% CI=1.781-8.376) and children with ASD aged below 6 years (aHR= 2.655, 95% CI=1.117-6.308) presented with significant risk of having SNT.
Conclusions Male children with ASD are at a significant risk of SNT. Screening for children with ASD may facilitate early detection and management of ASD-associated SNT.
Heart Sounds Generate the Fine Structure Constant Which Turns Out to be the Gate of Entrance to a Hidden New Dimension of Time
Authors: Almohammadi Ramzi
Published: December 2023

Classical mechanics and quantum mechanics are two major fields of physics that describe reality through the structure of matter. Classical mechanics describes reality as deterministic, while quantum mechanics describes it as probabilistic. Since both describe reality by separate unrelated laws of physics, there is no theory fits both fields into a single framework that makes the two mathematically compatible in the context of the standard model of physics. During the advancement in both fields, a dimensionless number that has been incredibly mysterious and unbelievably important starts to appear everywhere in quantum physics. This number is called the fine structure constant. Here we show how the human heart plays an important physiological role in generating the numeric value of this mysterious number which turns out to be a port of entry to a new undiscovered dimension of time differs from the cosmological time. This finding led us to discover a mechanism in the universe that mirrors the physiological process of the heart to generate similar hidden dimension of time for the universe, which turns out to be the key that connects both classical mechanic & quantum mechanics in single framework
Study on the digital transformation of China's manufacturing and the development of real economy
Authors: Jin Haipan , Hu Zhenhua , Zhu Minxun , Wei Min , Liu Wenwen
Published: December 2023

At present, China's economy is in a period of shifting gears and transformation, and the original competitive advantages of the manufacturing industry are gradually declining, resulting in a continued decline in the entity investment rate. This article starts from the perspective of digital transformation that releases "entity" potential or intensifies the competitiveness of "virtual" characteristics of manufacturing, constructs a theoretical framework for digital transformation to empower manufacturing enterprises to materialize or intensify financialization, and systematically explains and reveals the digital transformation of manufacturing enterprises Impact on the real economy. Studies have shown that the digital transformation of manufacturing companies has significantly improved their adherence to their main business and entity investment and restrained them from "moving from the real to the virtual". Further research found that enhancing the core competitiveness of manufacturing enterprises' products, expanding the strategic layout of the market and operating management efficiency are important paths for the digital transformation of manufacturing enterprises to empower entity development. In addition, this study provides policy reference for effectively promoting the integration of the digital economy and the real economy, realizing the high-end transformation of the global value chain, and preventing the potential risks of "Shift from real to virtual".
OrthoFlow: phylogenomic analysis and diagnostics with one command
Authors: Turnbull Robert , Steenwyk Jacob L. , Mutch Simon J. , Scholten Pelle , Salazar Vinícius W. , Birch Joanne L. , Verbruggen Heroen
Published: December 2023

Species trees, which depict the evolutionary relationships among organisms, underlie many evolutionary studies. Phylogenomics, the use of genome-scale datasets for phylogenetic inference, is the current gold standard for species tree inference. The development, maintenance, and execution of phylogenomic workflows is challenging, requiring programming, data management skills, and familiarity with changing best practices. We introduce OrthoFlow, a software wherein a single command automatically conducts end-to-end phylogenomic analysis—orthology inference and identification of phylogenomic markers, quality control, data matrix construction, diagnostics, and tree inference using supermatrix and supertree methods from multiple input data formats. To demonstrate the utility of OrthoFlow, we successfully recapitulate the evolutionary relationships among 24 yeast species. OrthoFlow increases the accessibility of researchers to conduct rigorous phylogenomic analysis flexibly. OrthoFlow is freely available from PyPI (https://pypi.org/project/orthoflow/), Bioconda (https://anaconda.org/bioconda/orthoflow) and GitHub (https://github.com/rbturnbull/orthoflow) under the Apache License 2.0.
Feature extraction method of EEG based on wavelet packet reconstruction and deep learning model of VR motion sickness feature classification and prediction
Authors: Luo Shuhang , Ren Peng , Wu Xiang , Wu Jiawei
Published: December 2023

The increased utilization of virtual reality (VR) technology has raised concerns regarding VR-induced motion sickness, an adverse condition linked to discomfort and nausea within simulated environments. Our approach commenced with an extensive analysis of EEG data and subjective feedback obtained from users immersed in VR environments. This data served to train a sophisticated deep learning model, employing an enhanced short-term memory network (GRU), aimed at identifying patterns and features associated with motion sickness. Following this, comprehensive data pre-processing and feature engineering were conducted to ensure the accuracy and suitability of the input data. Subsequently, a deep learning model was trained utilizing both supervised and unsupervised learning techniques, enabling the classification and prediction of motion sickness severity. Rigorous training and validation procedures were employed across multiple datasets to ascertain the model's robustness and performance under diverse scenarios. The research outcomes affirm the precision of our deep learning model in accurately classifying and forecasting the degree of motion sickness induced by virtual reality. The classification task achieved an accuracy rate of 84.9%, surpassing correlation and error indices of existing models. Consequently, this model exhibits superior capabilities in diagnosing and predicting motion sickness, thereby offering crucial support for enhancing the quality of the virtual reality experience and furthering advancements in VR technology.
Determination of Pomological and Chemical Characteristics of Some Genotypes of Naturally Grown Rose hip (Rosa spp.)
Authors: ÇOLAK Ayşen Melda , POLAT Havva Eylem , ALAN Fatma
Published: December 2023

The authors have requested that this preprint be removed from Research Square.
The radio broadcasting formation in Sumy region in the 20-30s of the 20th century
Authors: Pohorielova Valentyna
Published: December 2023

Introduction. The development of radio broadcasting in Sumy region is ambiguous. On the one hand, this process took place in the context of the development of radio broadcasting in Soviet Ukraine in general, on the other hand, it had certain features that were due to a number of both objective and subjective reasons, in particular, the territorial and administrative structure of Sumy region in the 20-30s 20th century.
Relevance and goal. The relevance of the research lies in the fact that it makes it possible to introduce unknown or little-known facts related to the formation of radio broadcasting in the 20-30s of the 20th century into the scientific circulation of journalism in Sumy region.
The goal of the article is to organize data on the peculiarities of the formation of radio broadcasting in Sumy region in the 20-30s of the 20th century.
Methodology. Historical, retrospective methods, the method of document analysis and system analysis were used to study the outlined issue.
The results. Radiofication in the Sumy region began in 1920 and was determined by the socio-economic need – the delivery of information to the population in the shortest possible way, and the mobilization of workers. First of all, “radio” came to the northern district towns of Sumy region, where industry was most developed. 1920–1922 were key in the spread of radio on the territory of Sumy region.
The next stage of radio broadcasting dates back to 1924, it is connected with the beginning of its own broadcasting in Ukraine. The number of receiving radio stations is increasing. Attention was also paid to rural areas, especially to those settlements where the process of collectivization was successful.
We have been observing the revival of radiography since the beginning of the 30s of the 20th century. This was especially true in rural areas. The spread of radio broadcasting was mostly entrusted to local organizations – collective farms, cooperatives, etc., which were supposed to provide funds.
The final stage of radio broadcasting in Sumy region was the creation of the Sumy region State Radio Studio in August 1939.
Conclusions. The process of radio broadcasting in Sumy region in the 20-30s of the 20th century reflects the main stages and regularities that occurred at that time in general. However, the territorial-administrative structure of the Sumy region had a significant influence on him.
«Democratic Tsunami» as an online stage of the Catalan independence movement
Authors: Zinichenko Vladyslav , Udovenko Anna
Published: December 2023

Introduction. Catalan independence is an issue that has shaken Spanish politics not even for years, but for centuries. In 2012, an overwhelming majority in parliament was received by MPs who announced the Declaration of Sovereignty. In 2017, the Catalan Parliament declared independence from Spain. In turn, the Spanish authorities arrested the initiators of this decision. Protesters took to the streets against the jailing of Catalan separatist leaders. Thus, it led to the emergence of a new protest group “Democratic Tsunami” that left a significant imprint in the struggle for the independence of the region.
Research aims. To describe the “Democratic Tsunami” from the points of origins, its members, organizational structure, strategies and tactics, published content, symbols, ideology, impact and state response.
Methodology. The main methods are secondary data analysis (two stages) and qualitative content analysis (649 tweets). The research period is from August 2019 to February 2020. The necessary data were collected from mass media websites and social media platforms.
Results. The available data allow us to single out the communication strategies of the “Democratic Tsunami” and present their examples. The scientific article describes the operation of various online communication tools (social media, mobile application) that were used by the movement to achieve its goals. It is important to note that the Spanish authorities were not ready to confront new technologies. The studied practices can be borrowed and used in any country of the world for similar purposes and processes.
Conclusions. Although the “Democratic Tsunami” lasted only six months, it was able to take the pro-independence movement to a new level of development. The main feature was the work with social media platforms and the mobile application. These movement’s tools simplified the process of mobilization and coordination between leaders and protesters. They created the mechanism to transform the Catalan independence movement into a more private and highly protected protest community.