bluuebunny/crossref_metadata_2025 huggingface dataset:
Smart Manufacturing Application in Precision Manufacturing
Authors: Sufian Amr T. , Abdullah Badr M. , Miller Oliver J.
Published: January 2025

Industry 4.0 presents an opportunity to gain a competitive advantage through productivity, flexibility, and speed. It also empowers the manufacturing sector to drive the sustainability revolution to achieve net zero carbon by reducing emissions in operations. In this paper, the aim is to demonstrate a practical implementation of a smart manufacturing application using a systematic approach based on conceptual six-gear smart factory roadmap with connectivity, integration and analytics stages to build a smart production management ecosystem using off-the-shelf technologies applied in precision manufacturing. Business benefits from the smart manufacturing application implementation are realized in terms of operational performance, economic benefits, and environmental sustainability over a period of three years (before and after smart manufacturing). The productivity improves as a result of the 47% improvement made to the machines’ utilization and the 53% reduction in the total downtime waste. Economic benefits are realized in terms of a cost saving of GBP 420 K that could cost the business and the returns of the financial investment made, which is recovered within a year. An environmental sustainability impact is realized by a reduction in the total greenhouse gas (GHG) emissions by 43%, mostly due to the reduction in the Scope 2 emissions in operations by 50%, which is significantly impacted by the reduction of energy consumption and better power consumption management. The significance of this work is the bridging of the gap between theory and practice by rapidly applying the six-gear smart factory roadmap to start, scale, and sustain the implementation of smart manufacturing applications in the manufacturing industry. This roadmap can serve as a strategic framework tool for smart manufacturing implementations. The technical architecture can serve as a guide for the practical implementation of smart manufacturing applications to reduce the complexity of development. This work also bridges the gap in academia and in industry by showcasing a real-world actual business benefits realized from smart manufacturing, as well as showcasing the practical implementations, limitations, and opportunities of smart manufacturing applications in the precision manufacturing industry, all of which reduce the internal barriers and challenges facing smart manufacturing and industry 4.0 adoption. The value realized in gaining a competitive advantage and driving environmental sustainability from smart manufacturing in this study can serve as a case study for academics and for industry business leaders, digital champions, and digital lighthouses to support value creation and to drive and accelerate smart manufacturing applications, digital transformation initiatives, and industry 4.0 adoption across the value chain.
Numerical Simulation of Thermo-Hydro-Mechanical Coupling of Model Test for Nuclear Waste Disposal
Authors: Wang Yu-Ping , Wang Zhe , Yi Fa-Cheng , Fu Lei , Luo Ying
Published: January 2025

This article presents a simulation of a long-term retardation performance Mock-up test of the multi-field coupling of buffer materials, with the aim to study the thermo-hydro-mechanical (THM) processes occurring in the engineered barrier system of a high-level waste (HLW) repository. In view of the theory of mixtures and mechanics of continuous media, the coupled THM mathematical model of unsaturated buffer materials is established, considering heat transport and multiphase fluid flow. Using the buffer material Mock-up test of multi-field coupling as a model, the partial differential equation (PDE) module in the general finite element software COMSOL Multiphysics was developed by a second development stage. The dynamic response process of buffer material under the condition of THM coupling was numerically simulated, and the spatial distribution and variation law of suction, porosity, horizontal displacement, temperature and swelling pressure in the engineered barrier were investigated. The porosity of the buffer material under THM coupling was influenced by the swelling pressure and the suction. The welling pressure evolution of the buffer material may be influenced by the thermal expansion induced by high temperature and the swelling pressure generated by buffer material saturation. The evolution of the horizontal displacement of the heater used to simulate a container with radioactive waste was validated. This paper provides technical reference for the design and safety evaluation of underground laboratory barrier engineering in China.
Optimization of Reasonable Finished State for Cable-Stayed Bridge with Steel Box Girder Based on Multiplier Path Following Method
Authors: Shi Jiapeng , Tao Yu , Xu Qingyun , Dai Jie , Di Jin , Qin Fengjiang
Published: January 2025

The increasing use of cable-stayed bridges with steel box girders necessitates more sophisticated design approaches, as the diverse environments of bridge locations place higher demands on the design process. Determining a reasonable finished state is a critical aspect of bridge design, yet the current methods are significantly constrained. A new approach to optimizing the finished state is proposed. This method’s practicality and efficiency are verified through a case study, analyzing how constraints on vertical girder deflection, horizontal pylon displacement, cable forces, and cable force uniformity affect the optimization outcome. The results show that convergence of the mixed-constraint quadratic programming model is achieved within 30 iterations, yielding an optimized finished state that meets the design criteria. The chosen constraint ranges are deemed appropriate, and the optimization method for the construction stage is thus demonstrably feasible and efficient. The multiplier path following optimization algorithm is computationally efficient, exhibiting good convergence and insensitivity to the problem size. Being easy to program, it avoids the arbitrariness of manual cable adjustment, enabling straightforward determination of a reasonable finished state for the cable-stayed bridge with a steel box girder. The vertical displacement of the main girder, the positive and negative bending moments, and the normal stresses at the top and bottom edges, as well as the positive and negative bending moments in the towers, are significantly influenced by the constraint ranges. The horizontal displacement of the pylon roof is significantly affected by the constraint ranges of both the main girder’s vertical displacement and the pylon’s horizontal displacement, while the remaining constraint ranges have a limited impact.
Towards an Automated Design Evaluation Method for Wire Arc Additive Manufacturing
Authors: Pusicha Johannes , Stromberg Henrik , Quanz Markus , Lohrengel Armin
Published: January 2025

Freedom of design and the cost-effective production of structural parts have led to much research interest in Wire Arc Additive Manufacturing (WAAM). Nevertheless, WAAM is subject to design constraints and fundamentally differs from other additive manufacturing processes. Consequently, design guidelines and supporting design evaluation tools adapted to WAAM are needed. One geometric approach to design evaluation is the use of a three-dimensional medial axis transformation (3D-MAT) to derive local geometry indicators. Previous works define the thickness and radius indicators. In this work, the angle between opposing faces and a mass gradient indicator are added. To apply the literature design rules regarding wall thickness, clearance, bead angle, and edge radius to specific geometry regions, features are classified by the indicators. Following a literature suggestion, wall and corner regions are differentiated by the angle indicator. An angle of 65° is identified as an effective separation limit. Additionally, the analogy of Heuvers’ spheres to the MAT helps estimate a limit of kH−1kH+1 for the mass gradient (kH: Heuvers’ factor). Finally, tests on example parts demonstrate the method’s effectiveness in verifying compliance to the specified rules. With a numerical complexity of O(n2), this method is more efficient than finite element analyses, providing early feedback in the design process.
Deep Circumflex Iliac Artery (DCIA) Free-Flap Mandibular Reconstruction Using Patient-Specific Surgical Guides and Customized Plates: A Preliminary Study
Authors: Kim Hyo-Joon , Oh Ji-Su , Moon Seong-Yong
Published: January 2025

Background: Mandibular reconstruction remains challenging in oral and maxillofacial surgery due to its complex anatomy and functional requirements. While Deep Circumflex Iliac Artery (DCIA) flaps offer advantages in bone height and natural contour, their application with computer-aided surgical planning remains limited. Aim: This preliminary study aimed to evaluate the accuracy and clinical outcomes of mandibular reconstruction using DCIA free flaps with patient-specific surgical guides and customized plates. Materials and Methods: A pilot study of five patients who underwent mandibular reconstruction using DCIA free flaps was conducted. Virtual surgical planning was performed using Cone-Beam Computed Tomography (CBCT) and pelvic Computed Tomography (CT) data to design patient-specific cutting guides and reconstruction plates. All surgeries were performed by a single experienced surgeon using standardized techniques. Results: The mean deviation between the virtual planning and actual surgical outcomes was 0.73 ± 0.23 mm, with maximum deviations ranging from 3.87 to 7.83 mm. All flaps achieved 100% survival, with one case (20%) experiencing screw loosening that required plate removal. This complication led to the modification of the plate design to include six or more holes in subsequent cases. Conclusions: Despite limitations including the small sample size and short follow-up period, our preliminary results demonstrate that computer-aided surgical planning with patient-specific devices can significantly improve the accuracy and predictability of DCIA flap mandibular reconstruction, even in challenging revision cases. Further studies with larger patient cohorts are needed to validate these findings.
Practical Work of Three-Phased Induction Motor Modeling in a Classical Spreadsheet Software
Authors: Sauvey Christophe , Schutz Jérémie , Gillet Yves
Published: January 2025

Remote teaching has been becoming increasingly important in higher education since the COVID-19 pandemic. Additionally, fast and precise modeling of the main operating values of industrial systems is a key point for production and efficiency calculation. After a review of the main modeling equations of an induction motor, this paper proposes to include them in spreadsheet software in the form of practical work so that readers will improve their level in multiple competency fields, such as data processing, the use of spreadsheet software, deepening understanding of induction motors, classical induction motor testing, and modeling and the use of the models to solve classical electrical engineering issues. Furthermore, the fact that this work was designed to be conducted autonomously and asynchronously gives readers the feeling of freedom, which is very useful for developing their desire to progress by their own means and to do their utmost to succeed in their task. Finally, the provided Excel file, which includes an initial spreadsheet with gaps, allows readers to familiarize themselves with the concepts, experiment with them, and extend the base file to their own topics of interest. This work can serve as a proof of the readers’ ability to succeed in industrial modeling tasks and aid in their employment prospects.
Determination of Heat Transfer Coefficient in a Film Boiling Phase of an Immersion Quenching Process
Authors: Cukrov Alen , Sato Yohei , Landek Darko , Hannoschöck Nikolaus , Boras Ivanka , Ničeno Bojan
Published: January 2025

The numerical solution of flow and temperature fields in and around a hot metal component being immersed into a cooling fluid offers powerful insights into investigating industrial quenching processes. The calculation requires a simultaneous solution of the Navier Stokes and the according energy equation. Difficulties arise at the boundaries where high heat transfer rates are forced from the solid surface to the fluid due to high metal temperatures. Heat transfer rates are determined based on the similarity theory, but reliable heat transfer equations valid for the high temperature typical of quenching processes are rare. This paper presents a two-fluid VOF (volume-of-fluid method) approach, giving an insight into the transient heat transfer and its oscillations. Unlike our previous publications, this paper uses the lumped heat conduction model to obtain the heat transfer coefficient in the film boiling heat transfer mode. Its application leads to an estimation of an average heat transfer coefficient. Furthermore, the unsteady distribution of the heat transfer coefficient values, shown in our previous paper, is now supplemented with the corresponding flow behavior obtained using the numerical simulation. In our approach, the vapor bubble formation during the film boiling phase is tracked directly (DNS of interface motion, not turbulence), and the unsteady heat transfer coefficient distribution is obeyed.
Pig Slurry Anaerobic Digestion: The Role of Biochar as an Additive Towards Biogas and Digestate Improvement
Authors: Silva Inês , Lapa Nuno , Ribeiro Henrique , Duarte Elizabeth
Published: January 2025

Biowaste from livestock production is increasing globally because of the intensification of livestock farming and inefficient waste management practices. If mismanaged, biowaste can result in environmental problems, including increased greenhouse gas (GHG) emissions. Anaerobic digestion (AD) stands as an effective approach for managing livestock biowaste, simultaneously generating biogas for energy recovery and digestate for agronomic application, following the principles of the circular economy. Considered a biowaste-to-energy approach, AD mitigates GHG emissions, facilitates nutrient recovery, and reduces dependence on fossil fuels. Despite its acknowledged benefits and status as a mature technology, further research is required to identify the best route for optimising the process in terms of stability and performance. This review examines new research that explores innovative ways to enhance the mesophilic AD process in continuous-stirred tank reactors, including the use of additives, especially carbon-based ones like biochar. From this perspective, the key challenges are exploring new insights into future research routes to implement AD units at a real scale, and pursuing goals towards a circular economy model. Finally, new opportunities have arisen for farmers to create synergies across agro-industrial sectors, enabling them to minimise their environmental footprint and simultaneously earn additional revenue.
Projecting Future Land Use Evolution and Its Effect on Spatiotemporal Patterns of Habitat Quality in China
Authors: Chen Yiqing , Zhang Fengyu , Lin Jinyao
Published: January 2025

In recent years, irrational land development has caused significant habitat quality problems. Previous habitat quality studies have mainly concentrated on medium- and small-sized areas, and few studies have conducted a comprehensive long-term analysis of terrestrial habitat quality in large countries. Accordingly, this research aimed to identify the changes in land use and habitat quality in China during the last four decades. The InVEST method was employed for evaluating China’s habitat quality. This evaluation included both habitat degradation and habitat quality scores. Then, the FLUS and InVEST methods were combined to project future land use evolution in China through 2050 and assess its effect on habitat quality. Our study demonstrated a robust connection between habitat quality and the spatial distribution of land use classes, topography, and resource availability. Furthermore, over the past four decades, high-quality habitats in the country have been degrading and shrinking, while low-quality habitats have been expanding. The projection results indicate that the habitat problems in China will become increasingly severe over the coming decades. Our study suggests that the habitat quality in China should be improved by optimizing land use patterns, stabilizing areas with optimal habitat conditions, and restoring degraded habitats.
ENSeg: A Novel Dataset and Method for the Segmentation of Enteric Neuron Cells on Microscopy Images
Authors: Felipe Gustavo Zanoni , Nanni Loris , Garcia Isadora Goulart , Zanoni Jacqueline Nelisis , Costa Yandre Maldonado e Gomes da
Published: January 2025

The Enteric Nervous System (ENS) is a dynamic field of study where researchers devise sophisticated methodologies to comprehend the impact of chronic degenerative diseases on Enteric Neuron Cells (ENCs). These investigations demand labor-intensive effort, requiring manual selection and segmentation of each well-defined cell to conduct morphometric and quantitative analyses. However, the scarcity of labeled data and the unique characteristics of such data limit the applicability of existing solutions in the literature. To address this, we introduce a novel dataset featuring expert-labeled ENC called ENSeg, which comprises 187 images and 9709 individually annotated cells. We also introduce an approach that combines automatic instance segmentation models with Segment Anything Model (SAM) architectures, enabling human interaction while maintaining high efficiency. We employed YOLOv8, YOLOv9, and YOLOv11 models to generate segmentation candidates, which were then integrated with SAM architectures through a fusion protocol. Our best result achieved a mean DICE score (mDICE) of 0.7877, using YOLOv8 (candidate selection), SAM, and a fusion protocol that enhanced the input point prompts. The resulting combination protocols, demonstrated after our work, exhibit superior segmentation performance compared to the standalone segmentation models. The dataset comes as a contribution to this work and is available to the research community.
A Self-Paced Multiple Instance Learning Framework for Weakly Supervised Video Anomaly Detection
Authors: He Ping , Li Huibin , Han Miaolin
Published: January 2025

Weakly supervised video anomaly detection (WS-VAD) is often addressed as a multi-instance learning problem in which a few fixed number of video segments are selected for classifier training. However, this kind of selection strategy usually leads to a biased classifier. To solve this problem, we propose a novel self-paced multiple-instance learning (SP-MIL) framework for WS-VAD. Given a pre-trained baseline model, the proposed SP-MIL can enhance its performance by adaptively selecting video segments (from easy to hard) and persistently updating the classifier. In particular, for each training epoch, the baseline classifier is firstly used to predict the anomaly score of each segment, and their pseudo-labels are generated. Then, for all segments in each video, their age parameter is estimated based on their loss values. Based on the age parameter, we can determine the self-paced learning weight (hard weight with values of 0 or 1) of each segment, which is used to select the subset of segments. Finally, the selected segments, along with their pseudo-labels, are used to update the classifier. Extensive experiments conducted on the UCF-Crime, ShanghaiTech, and XD-Violence datasets demonstrate the effectiveness of the proposed framework, outperforming state-of-the-art methods.
A Synergistic Approach to Per- and Polyfluoroalkyl Substance Treatment That Includes Microbial Bioremediation and Considers Degradation Fluxes
Authors: Zuccaro Gaetano
Published: January 2025

The aim of the author is to propose a change of the approach to the management of fluorinated pollutants in waste and water streams, in which the linear treatment of pollutants could be replaced by the integration of a synergistic system including biological treatments and a focus on the secondary streams produced by conventional and less conventional technological solutions in order to avoid the translation of the problem or, even worse, the production of equally harmful compounds [...]
Calculated Transition Probabilities for Os VI Spectral Lines of Interest to Nuclear Fusion Research
Authors: Brasseur Maxime , Palmeri Patrick , Quinet Pascal
Published: January 2025

In this work, we present a new set of transition probabilities for experimentally classified spectral lines in the Os VI spectrum. To do this, two independent computational approaches based on the pseudo-relativistic Hartree–Fock, including core polarization effects (HFR+CPOL) and fully relativistic Multiconfiguration Dirac–Hartree–Fock (MCDHF) methods, were used, with the detailed comparison of the results obtained with these two approaches allowing us to estimate the quality of the calculated radiative parameters. These atomic data, corresponding to 367 lines of five-times ionized osmium between 438.720 and 1486.275 Å, are expected to be useful for the analysis of the spectra emitted by fusion plasmas in which osmium could appear as a result of transmutation by the neutron bombardment of tungsten used as component of the reactor wall, such as the ITER divertor.
Visual and Acoustic Aspects of Face Masks Affect Speech Intelligibility in Listeners with Different Hearing Statuses
Authors: Rohner Pauline , Sönnichsen Rasmus , Hochmuth Sabine , Radeloff Andreas
Published: January 2025

Background: When speaking while wearing a face mask, sound transmission is attenuated, and visual cues are lost due to the covered facial movements of the speaker. In this study, we investigated the extent to which different face masks alter speech intelligibility in individuals with different degrees of hearing impairment. Methods: A total of fifty participants were divided into four hearing status groups according to the degree of hearing loss: normal levels (16), mild (13), moderate (11), and severe (10). A modified version of the Audiovisual German Matrix Sentence Test (AV-OLSA) was used to assess speech perception in noise in five conditions (audiovisual, audio-only, visual-only, surgical mask, and FFP2 mask). Results: Our results show that acoustic attenuations of face masks cause a small but similar decrease in speech reception thresholds (SRTs) in listeners of different hearing statuses. The effect of visual cues (visual benefit) on SRTs was stronger than the effect of acoustic attenuation but also did not differ significantly between the different hearing status groups, with a median difference of 1.5 dB for mild hearing loss, 2.9 dB for moderate hearing loss, and 2.7 dB for severe hearing loss. The best-aided hearing status did not correlate with visual benefit. Conclusions: Our research confirms the importance of providing visual cues for speech reception in noisy environments, especially for individuals with impaired hearing, regardless of their degree of hearing loss.
Lithium Tracer Diffusion in LixCoO2 and LixNi1/3Mn1/3Co1/3O2 (x = 1, 0.9, 0.65)-Sintered Bulk Cathode Materials for Lithium-Ion Batteries
Authors: Hüger Erwin , Uxa Daniel , Schmidt Harald
Published: January 2025

The knowledge of Li diffusivities in electrode materials of Li-ion batteries (LIBs) is essential for a fundamental understanding of charging/discharging times, maximum capacities, stress formation and possible side reactions. The literature indicates that Li diffusion in the cathode material Li(Ni,Mn,Co)O2 strongly increases during electrochemical delithiation. Such an increased Li diffusivity will be advantageous for performance if it is present already in the initial state after synthesis. In order to understand the influence of a varying initial Li content on Li diffusion, we performed Li tracer diffusion experiments on LixCoO2 (LCO) and LixNi1/3Mn1/3Co1/3O2 (NMC, x = 1, 0.9, 0.65) cathode materials. The measurements were performed on polycrystalline sintered bulk materials, free of additives and binders, in order to study the intrinsic properties. The variation of Li content was achieved using reactive solid-state synthesis using pressed Li2CO3, NiO, Co3O4 and/or MnO2 powders and high temperature sintering at 800 °C. XRD analyses showed that the resultant bulk samples exhibit the layered LCO or NMC phases with a low amount of cation intermixing. Moreover, the presence of additional NiO and Co3O4 phases was detected in NMC with a pronounced nominal Li deficiency of x = 0.65. As a tracer source, a 6Li tracer layer with the same chemical composition was deposited using ion beam sputtering. Secondary ion mass spectrometry in depth profile mode was used for isotopic analysis. The diffusivities followed the Arrhenius law with an activation enthalpy of about 0.8 eV and were nearly identical within error for all samples investigated in the temperature range up to 500 °C. For a diffusion mechanism based on structural Li vacancies, the results indicated that varying the Li content does not result in a change in the vacancy concentration. Consequently, the design and use of a cathode initially made of a Li-deficient material will not improve the kinetics of battery performance. The possible reasons for this unexpected result are discussed.
Improving Synthetic Data Generation Through Federated Learning in Scarce and Heterogeneous Data Scenarios
Authors: Apellániz Patricia A. , Parras Juan , Zazo Santiago
Published: January 2025

Synthetic Data Generation (SDG) is a promising solution for healthcare, offering the potential to generate synthetic patient data closely resembling real-world data while preserving privacy. However, data scarcity and heterogeneity, particularly in under-resourced regions, challenge the effective implementation of SDG. This paper addresses these challenges using Federated Learning (FL) for SDG, focusing on sharing synthetic patients across nodes. By leveraging collective knowledge and diverse data distributions, we hypothesize that sharing synthetic data can significantly enhance the quality and representativeness of generated data, particularly for institutions with limited or biased datasets. This approach aligns with meta-learning concepts, like Domain Randomized Search. We compare two FL techniques, FedAvg and Synthetic Data Sharing (SDS), the latter being our proposed contribution. Both approaches are evaluated using variational autoencoders with Bayesian Gaussian mixture models across diverse medical datasets. Our results demonstrate that while both methods improve SDG, SDS consistently outperforms FedAvg, producing higher-quality, more representative synthetic data. Non-IID scenarios reveal that while FedAvg achieves improvements of 13–27% in reducing divergence compared to isolated training, SDS achieves reductions exceeding 50% in the worst-performing nodes. These findings underscore synthetic data sharing potential to reduce disparities between data-rich and data-poor institutions, fostering more equitable healthcare research and innovation.
Application of Natural Antioxidants as Feed Additives in Aquaculture: A Review
Authors: Hu Xiaodan , Ma Wenjing , Zhang Disen , Tian Zikun , Yang Yuanqiang , Huang Yi , Hong Yuhang
Published: January 2025

Oxidative stress, a critical factor affecting the health and productivity of aquatic organisms, arises from the imbalance between reactive oxygen species (ROS) production and antioxidant defenses. In aquaculture, natural antioxidants have gained increasing attention as sustainable feed additives to mitigate oxidative damage, enhance immune responses, and improve overall growth performance. This review provides a comprehensive synthesis of the antioxidative mechanisms of key natural antioxidants, including carotenoids, polysaccharides, vitamins, polyphenols, and flavonoids. By neutralizing ROS and modulating cellular signaling pathways such as Nrf2/ARE, these compounds offer significant protective effects against oxidative damage in aquatic species. The manuscript consolidates recent advancements in antioxidant research, highlighting their practical applications in feed formulation and their role in promoting sustainability in aquaculture. This review aims to provide an integrative framework for understanding natural antioxidants’ potential, guiding future research and practical implementation in aquaculture systems.
Investigating Aerobic Hive Microflora: Role of Surface Microbiome of Apis Mellifera
Authors: Kashchenko Grigory , Taldaev Amir , Adonin Leonid , Smutin Daniil
Published: January 2025

This study investigated the surface microbiome of the honeybee (Apis mellifera), focusing on the diversity and functional roles of its associated microbial communities. While the significance of the microbiome to insect health and behavior is increasingly recognized, research on invertebrate surface microbiota lags behind that of vertebrates. A combined metagenomic and cultivation-based approach was employed to characterize the bacterial communities inhabiting the honeybee exoskeleton. Our findings reveal a complex and diverse microbiota exhibiting significant spatial and environmental heterogeneity. The identification of antimicrobial compound producers, validated through both culture and metagenomic analyses, including potentially novel Actinobacteria species, underscores the potential impact of these microbial communities on honeybee health, behavior, and hive dynamics. This research contributes to a more profound ecological understanding of the honeybee microbiome, particularly in its winter configuration.
The Genetic and Epigenetic Arms of Human Ageing and Longevity
Authors: Ciaglia Elena , Montella Francesco , Lopardo Valentina , Basile Cristina , Esposito Roberta Maria , Maglio Clara , Longo Roberta , Maciag Anna , Puca Annibale Alessandro
Published: January 2025

This proposed review aims to shed light on the major genetic and epigenetic contributions to the ageing process and longevity of individuals. In this context, we summarize the state of knowledge on the most important longevity and ageing genetic variants, and their interactions with the environment, in achieving a healthy lifespan. We also explore the contribution of lifestyle and the influence of non-heritable environmental factors on ageing (i.e., epigenetics). Accordingly, we discuss the role of inflammageing as one of the major targets to overcome morbidity and mortality in older people for the maintenance of healthy ageing. This more integrated view of longevity will display not only the underlying mechanisms at play but also invites the reader to rethink both our ageing process and our attitudes toward age.
Rap1 Guanosine Triphosphate Hydrolase (GTPase) Regulates Shear Stress-Mediated Adhesion of Mesenchymal Stromal Cells
Authors: Giesen Melanie , Fleck Erika , Scheele Jürgen , Hartmann Tanja Nicole , Henschler Reinhard
Published: January 2025

Intravenously transplanted mesenchymal stromal cells (MSCs) have been shown to interact with endothelial cells and to migrate to tissues. However, intracellular signals regulating MSC migration are still incompletely understood. Here, we analyzed the role of Rap1 GTPase in the migration of human bone marrow-derived MSCs in vitro and in short-term homing in mice in vivo. MSCs expressed both Rap1A and Rap1B mRNAs, which were downregulated after treatment with siRNA against Rap1A and/or B. In a flow chamber model with pre-established human umbilical vein endothelial cells (HUVECs), Rap1A/B downregulated MSCs interacted for longer distances before arrest, indicating adhesion defects. CXCL12-induced adhesion of MSCs on immobilized Vascular Cell Adhesion Molecule (VCAM)-1 was also decreased after the downregulation of Rap1A, Rap1B, or both, as was CXCL12-induced transwell migration. In a competitive murine short-term homing model with i.v. co-injection of Rap1A+B siRNA-treated and control MSCs that were labeled with PKH 26 and PKH 67 fluorescent dyes, the Rap1A+B siRNA-treated MSCs were detected at increased frequencies in blood, liver, and spleen compared to control MSCs. Thus, Rap1 GTPase modulates the adhesion and migration of MSCs in vitro and may increase the bio-availability of i.v.-transplanted MSCs in tissues in a murine model.
Twinning and Individuation: An Appraisal of the Current Model and Ethical Implications
Authors: O’Keeffe Francis J. , Mendz George L.
Published: January 2025

Discourses on human embryo experimentation often refer to monozygotic twinning and individuation. A criterion to establish regulations that guide human embryo research proposes that individuation is achieved once the embryo ceases to have the potential for dividing into two or more viable entities at about 15 days of gestational age. This standard is based on an updated version of a developmental model initially proposed by George Corner. A fundamental problem with this approach is the model’s lack of sufficient evidence to explain adequately human embryo twinning and, consequently, to serve as a basis to establish appropriate ethical guidelines for embryo experimentation. In addition, subsequent formulations of Corner’s model added an extension of blastomere totipotency to different moments of gestation, without a proper scientific basis. The model is also challenged by monozygotic twinnings that result in placental and amniotic arrangements incompatible with Corner’s framework. Investigations into the physiology of fertilisation and of the zygote suggest that individuation may occur at a very early stage. An alternative description of monozygotic twinning may explain better sesquizygotic twinning events and serve to re-evaluate the individuation criterion. The study aims to investigate deficiencies in the embryology of this model and assess their ethical implications.
M6A Demethylase ALKBH5 in Human Diseases: From Structure to Mechanisms
Authors: Fang Miaochun , Ye Liwen , Zhu Yue , Huang Linying , Xu Shun
Published: January 2025

N6-methyladenosine (m6A) is the most abundant, dynamically reversible, and evolutionarily conserved internal chemical modification in eukaryotic RNA. It is emerging as critical for regulating gene expression at the post-transcriptional level by affecting RNA metabolism through, for example, pre-mRNA processing, mRNA decay, and translation. ALKBH5 has recently been identified as an endogenous m6A demethylase implicated in a multitude of biological processes. This review provides an overview of the structural and functional characteristics of ALKBH5 and the involvement of ALKBH5 in diverse human diseases, including metabolic, immune, reproductive, and nervous system disorders, as well as the development of inhibitors. In summation, this review highlights the current understanding of the structure, functions, and detailed mechanisms of ALKBH5 in various physiological and pathological processes and provides valuable insights for clinical applications and foundational research within related fields.
Functionalized GelMA/CMCS Composite Hydrogel Incorporating Magnesium Phosphate Cement for Bone Regeneration
Authors: Wang Xingyu , Zhang Xiping , Gong Changtian , Yang Jian , Chen Jingteng , Guo Weichun
Published: January 2025

Background: Bone regeneration remains a challenging issue in tissue engineering. The use of hydrogels as scaffolds for bone tissue repair has gained attention due to their biocompatibility and ability to mimic the extracellular matrix. This study aims to develop a functionalized GelMA/CMCS composite hydrogel incorporating magnesium phosphate cement (MPC) for enhanced bone regeneration. Methods: These composites were developed by incorporating potassium magnesium phosphate hexahydrate (KMgPO4·6H2O, MPC) powders into methacrylated gelatin/carboxymethyl chitosan (GelMA-C) hydrogels. The material’s mechanical properties, antibacterial performance, and cytocompatibility were evaluated. In vitro experiments involved cell viability and osteogenic differentiation assays using rBMSCs as well as angiogenic potential assays using HUVECs. The hydrogel was also assessed for its potential in promoting bone repair in a rat (Sprague-Dawley) model of bone defect. Results: The developed GelMA-CM composite demonstrated improved mechanical properties, biocompatibility, and osteogenic potential compared to individual GelMA or CMCS hydrogels. Incorporation of MPC facilitated the sustained release of ions which promoted osteogenic differentiation of pre-osteoblasts. In vivo results indicated accelerated bone healing in the rat bone defect model. Conclusions: The functionalized GelMA-CM composite could be a viable candidate for clinical applications in bone regeneration therapies.
The Impact of Immediate and Delayed Rewards on Task-Switching Performance
Authors: Zhao Guang , Wang Huijun , Wu Rongtao , Zhao Zixin , Li Shiyi , Wang Qiang , Sun Hong-Jin
Published: January 2025

Background/Objectives: Switching between different tasks incurs switch costs. Previous research has demonstrated that rewards can enhance performance in cognitive tasks. However, prior studies have primarily focused on the overall improvement in cognitive task performance, with limited research on how different types of rewards function under various task conditions. This study aims to investigate the distinct effects of immediate and delayed rewards on cognitive task performance in different task conditions (repeated trials and task-switching trials) and to explore the underlying neural mechanisms, particularly focusing on how rewards influence attention allocation during the concurrent processing of multiple cues. Methods: This study recruited 27 college students (average age 19 years old, 10 males and 17 females). A cue-based task-switching paradigm incorporating immediate and delayed rewards was employed. The study examined the effects of immediate and delayed rewards on cognitive task performance in repeated trials and task-switching trials. Event-related potentials (ERPs) were recorded to investigate the neural mechanisms underlying reward effects on attention allocation. Results: Behavioral results indicated that immediate rewards significantly enhanced performance in repeated trials compared to delayed rewards. In contrast, no significant difference between immediate and delayed rewards was observed in task-switching trials. ERP results showed that immediate rewards induced a larger P300 amplitude than delayed rewards under the task repetition condition. No P300 difference was found between immediate and delayed rewards under the task-switching condition. Conclusions: The findings suggest that rewards enhance task performance by optimizing the allocation of attention to the ongoing task when multiple cues are processed concurrently. When additional resources are required to process task-related cues, there may be insufficient remaining capacity to effectively process reward cues, which could be essential for the optimal completion of the task. These results support the Expected Value of Control (EVC) theory in task-switching scenarios.
A New Way to Treat Central Nervous System Dysfunction Caused by Musculoskeletal Injuries Using Transcranial Direct Current Stimulation: A Narrative Review
Authors: Perrey Stéphane
Published: January 2025

Background: Musculoskeletal injuries can have far-reaching consequences on brain function, leading to reduced motor control, altered movement patterns, increased inhibition of the injured muscle and joint, and changes in neuroplasticity. These deficits, controlled in part by the central nervous system (CNS), might be alleviated with an appropriate adjuvant treatment. One possibly suited treatment at the CNS level is transcranial direct current stimulation (tDCS), which modulates cortical excitability and further neuroplasticity. Objectives: The present review outlines the multifaceted repercussions of common musculo-skeletal injuries on CNS functions and presents original studies that mostly report beneficial effects regarding the use of the tDCS intervention in people who had experienced musculoskeletal injury rehabilitation. Results: The first evidence suggests that tDCS, targeting brain areas responsible for motor control or on sensory and pain-related brain regions, may offer significant benefits in the recovery of brain function and motor performance following musculoskeletal injuries. Key findings include enhanced motor function, altered CNS excitability and inhibition, and reduced pain perception, all contributing to improved rehabilitation outcomes. However, the paucity of studies and the heterogeneity of injuries render it challenging to ascertain the optimal treatment parameters. Furthermore, the variability regarding stimulation parameters is a crucial aspect that remains to be addressed and limits the possibility of generalizing these first findings. Conclusions: It is concluded that well-powered trials with standardized protocols should be conducted to confirm these effects and establish clear clinical guidelines for the use of tDCS in sports injury rehabilitation.
When Healthcare Professionals Use AI: Exploring Work Well-Being Through Psychological Needs Satisfaction and Job Complexity
Authors: Huo Weiwei , Li Qiuchi , Liang Bingqian , Wang Yixin , Li Xuanlei
Published: January 2025

This study examines how the use of artificial intelligence (AI) by healthcare professionals affects their work well-being through the satisfaction of basic psychological needs, framed within Self-Determination Theory. Data from 280 healthcare professionals across various departments in Chinese hospitals were collected, and the hierarchical regression and regression were analyzed to assess the relationship between the use of AI, psychological needs satisfaction (autonomy, competence, and relatedness), and their work well-being. The results reveal that the use of AI enhances work well-being indirectly by increasing the satisfaction of these psychological needs. Additionally, job complexity serves as a boundary condition that moderates the relationship between the use of AI and work well-being. Specifically, job complexity weakens the relationship between the use of AI and the satisfaction of autonomy and competence, while having no significant effect on the relationship between the use of AI and the satisfaction of relatedness. These findings suggest that the impact of the use of AI on healthcare professionals’ well-being is contingent on job complexity. This study highlights that promoting healthcare professionals’ well-being at work in the context of AI adoption requires not only technological implementation but also ongoing adaptation to meet their evolving psychological needs. These insights provide a theoretical foundation and practical guidance for integrating AI into healthcare to support the well-being of healthcare professionals.
Effects of Online Learning Readiness and Online Self-Regulated English Learning on Satisfaction with Online English Learning Experience During the COVID-19 Pandemic
Authors: Ip Sarah W. S. , To Wai-Ming
Published: January 2025

The COVID-19 pandemic has caused major changes in pedagogical practices worldwide. As COVID-19 cases increased, universities had to move their teaching online, requiring both instructors and students to engage through online learning platforms. This study explored the effects of students’ online learning readiness and online self-regulated English learning on their satisfaction with the online English learning experience. Additionally, it investigated whether and how online learning readiness and online self-regulated English learning influenced students’ perceived English self-efficacy which could in turn influence their satisfaction with the online English learning experience. Data were collected from 163 university students in Macau, China. The results of partial least squares structural equation modeling showed that students’ online learning readiness significantly influenced their satisfaction with the online English learning experience directly and indirectly through online self-regulated English learning. Furthermore, online learning readiness affected students’ perceived English self-efficacy. However, online self-regulated English learning did not significantly impact students’ perceived English self-efficacy, and there was no significant link between students’ perceived English self-efficacy and their satisfaction with the online English learning experience. The implications of this study are given.
Contemporary Treatment of Crime Victims/Survivors: Barriers Faced by Minority Groups in Accessing and Utilizing Domestic Abuse Services
Authors: Cole Terri , Harvey Orlanda , Healy Jane C. , Smith Chloe
Published: January 2025

This research explored the experiences of LGBTQIA+, black and ethnic minority (BME), and disabled victims of domestic abuse due to the frequency of abuse in these populations and bespoke needs they may have. Data were collected via an online survey (n = 317), a focus group with professionals (n = 2), and interviews with victims/survivors of domestic abuse (n = 2). Many victims/survivors articulated difficulties in accessing support for many reasons, including individual and structural barriers such as embarrassment, stigma, shame, fear and not being aware of what support is available. Whilst good practice was reported, examples of secondary victimization towards victims/survivors by individuals, professionals and organizations were recounted. Many barriers were identified; for example, there was inappropriate provision in refuges or shelters for LGBTQIA+ groups or disabled people. Disabled victims experienced additional barriers if their abuser was also their carer. BME groups may have additional language difficulties as well as cultural stigma and pressure to stay with their abuser. Recommendations for practice include the need for enhanced multi-agency training and recognition of abuse; crime against victims/survivors being supported by someone with the same cultural background; easier access to interpreters; and more appropriate refuge or alternative housing options.
Comparative Study of ASTM C1202 and IBRACON/NT Build 492 Testing Methods for Assessing Chloride Ion Penetration in Concretes Using Different Types of Cement
Authors: de Jesus Wanderson Santos , da Silva Suânia Fabiele Moitinho , de Almeida Thalles Murilo Santos , Souza Marcelo Tramontin , Leal Eduarda Silva , Souza Ramon Santos , Sacramento Laio Andrade , Allaman Ivan Bezerra , Pessôa José Renato de Castro
Published: January 2025

Durability is crucial for reinforced concrete, directly influencing the service life of structures. The presence of aggressive agents, especially chloride ions, significantly impacts durability. This study investigates the differences between ASTM C1202 and IBRACON/NT Build 492 standards in concrete containing various types of cement designed for a characteristic compressive strength of 40 MPa. Forty-eight cylindrical samples were prepared using eight types of Portland cement, including those with blast furnace slag, filler, and pozzolanic materials. Chloride migration tests were performed according to the ASTM C1202/2022 and IBRACON/NT Build 492/1999 methodologies. At a 95% confidence level, the results indicated that concrete made with filler-containing cement (PCII F-SR and PC II F) showed the poorest chloride resistance, with charge passing values exceeding 4000 coulombs (ASTM C1202) and diffusion coefficients above 10 × 10−12 m2/s (IBRACON/NT Build 492). In contrast, concrete containing high slag cement (PC III-SR) and pozzolan cement (PC IV) demonstrated superior resistance to chloride penetration, with charge passing values below 1500 coulombs and diffusion coefficients under 5 × 10−12 m2/s. Notably, discrepancies in classification were observed, as PC II Z (fly-ash based) and PC II E-SR (slag-based) received different ratings under the two methods. ASTM C1202 was found to be more stringent than NT Build 492, highlighting significant variations in the classification criteria between these standards. Based on the findings, new interval values are proposed for classifying concrete regarding the risk of chloride ion penetration, particularly for the ASTM C1202 standard, in order to better align with performance-based durability criteria and improve classification accuracy.