bluuebunny/crossref_metadata_2025_split huggingface dataset:
Current trends in the design and fabrication of PRP-based scaffolds for tissue engineering and regenerative medicine
Authors: Şeker Şükran , Elçin Ayşe Eser , Elçin Yaşar Murat 
Published: January 2025

Abstract
Blood-derived biomaterials with high platelet content have recently emerged as attractive products for tissue engineering and regenerative medicine (TERM). Platelet-derived bioactive molecules have been shown to play a role in wound healing and tissue regeneration processes by promoting collagen synthesis, angiogenesis, cell proliferation, migration, and differentiation. Given their regenerative potential, platelet-rich blood derivatives have become a promising treatment option for use in a variety of conditions. Platelet-Rich Plasma (PRP), one of the platelet-rich blood derivatives, is a platelet concentrate suspended in a small volume of blood plasma obtained from whole blood. Due to its potential clinical benefits, PRP is widely used alone or in combination with various biomaterials/scaffolds in different fields of medicine and has shown promising results in wound healing. The recent growing interest in the development of PRP-based scaffolds also reveals new perspectives on the use of PRP or platelet lysate in TERM. This topical review contains a comprehensive summary of recent trends in the fabrication of PRP-based scaffolds that can deliver growth factors, serve as mechanical support for cells, and have therapeutic or regenerative properties. The article briefly focuses on diverse PRP-based constructs using PRP as a scaffolding material, their current fabrication approaches as well as the challenges encountered and provides a selection of existing strategies and new insights.
Harnessing machine learning algorithms for the prediction and optimization of various properties of polylactic acid in biomedical use: a comprehensive review
Authors: Chandra Hasa J M , Narayanan P , Pramanik R , Arockiarajan A 
Published: January 2025

Abstract
Machine learning (ML) has emerged as a transformative tool in various industries, driving advancements in key tasks like classification, regression, and clustering. In the field of chemical engineering, particularly in the creation of biomedical devices, personalization is essential for ensuring successful patient recovery and rehabilitation. Polylactic acid (PLA) is a material with promising potential for applications like tissue engineering, orthopedic implants, drug delivery systems, and cardiovascular stents due to its biocompatibility and biodegradability. Additive manufacturing (AM) allows for adjusting print parameters to optimize the properties of PLA components for different applications. Although past research has explored the integration of ML and AM, there remains a gap in comprehensive analyses focusing on the impact of ML on PLA-based biomedical devices. This review examines the most recent developments in ML applications within AM, highlighting its ability to revolutionize the utilization of PLA in biomedical engineering by enhancing material properties and optimizing manufacturing processes. Moreover, this review is in line with the journal’s emphasis on bio-based polymers, polymer functionalization, and their biomedical uses, enriching the understanding of polymer chemistry and materials science.
Laser-induced graphene and laser-induced graphene/carbon nanotube-based sensors for temperature and strain sensing
Authors: Zhang Yong , Li Yi , Liu Weiwei , Yu Chen , Yang Fei , Chen Chuan , Cao Liqiang 
Published: January 2025

Abstract
Laser-induced graphene (LIG) has gained significant attention in the field of sensor research due to its exceptional properties and ease of fabrication. In this study, we present the development of flexible temperature sensors and strain sensors by transferring LIG onto polydimethylsiloxane. The temperature sensor exhibits a sensitivity of 0.444% per degree Celsius, which was validated through its practical application in breath monitoring and blowing detection. The strain sensor possesses a measurement range of approximately 35% with a sensitivity of about 370.6. Furthermore, when carbon nanotubes were applied to augment the LIG, creating a more extensive conductive network and a denser structure, both the strain range and sensitivity of the sensor were notably increased to 45% and 483.1, respectively. The enhanced strain sensor’s capabilities were showcased through its application in monitoring human joint movements and detecting sound vibrations. These findings underscore the substantial potential of LIG for producing low-cost, flexible, and eco-friendly sensors.
Soil degradation risk prediction in an arid region (Northern Tataouine, Tunisia): using an empirical model coupling with remote sensing and GIS
Authors: Gammoudi Amal , Guesmi Hanen , Tebini Ahmed , Attia Rafla , Chahed Thouraya Sahli , Trabelsi Hosni 
Published: January 2025

Abstract
The soil quality losses related to the water erosion is considered as a worldwide environmental hazard in arid regions, which is disturbing natural resources. In fact, it can affect land sustainability and agricultural production. In order to preserve the natural resources, different erosion models are applied. In this study, the combination of the model of RUSLE (Revised Universal Soil Loss equation) and the GIS (Geographic Information Systems) using the RS (remote sensing) techniques allows to detect vulnerable areas to soil degradation. The used model is related to five factors linked to the rainfall intensities, the topographic characteristics, the soil sensitivity, the agricultural practices and the vegetation cover. The application of this combination in the Ferch watershed (Southern Tunisia) indicates that the whole studied watershed has low soil erosion hazard (90.4%). Indeed, the high to severe soil erosion hazard are mainly characterized the mountainous zones. As a consequence, this work can be useful to ensure the appropriate environmental plan for sustainable soil conservation.
Frequency multiplexed photothermal correlation tomography for non-destructive evaluation of manufactured materials
Authors: Zhu Pengfei , Wang Rongbang , Sivagurunathan Koneswaran , Sfarra Stefano , Sarasini Fabrizio , Ibarra-Castanedo Clemente , Maldague Xavier , Zhang Hai , Mandelis Andreas 
Published: January 2025

Abstract
Infrared thermography has been widely applied in real industrial inspection of aerospace, energy management systems, engines, and electric systems. However, two-dimensional imaging modality limits its development. Here, a technique named frequency multiplexed photothermal correlation tomography (FM-PCT) was developed to enable non-destructive and contactless cross-sectional imaging for manufactured material evaluation and characterization. By combining advantages of photothermal tomography and pulsed thermography, FM-PCT facilitates the generation of three-dimensional thermal images through temporal superposition (stacking) of two-dimensional images from sequential subsurface depths. FM-PCT image processing involves pulsed excitation signals to which frequency delay and matched filtering techniques are applied. Major features of FM-PCT are high-resolution three-dimensional tomographic imaging under low camera frame-rate conditions with self-correcting capability for diffusion (blurring) correction of subsurface images due to cross-correlation processing of individual frequencies in the Fourier decomposition spectrum of the excitation pulse. Furthermore, FM-PCT extends truncated-correlation photothermal coherence tomography from chirp and pulsed signals to more general linear heating sources. Lock-in thermography and x-ray computed tomography validation demonstrate that 3D FM-PCT imaging accurately reveals subsurface discontinuities/defects in solids despite the diffusive nature of thermal-wave imaging.
Advances of Wearable Silicone Rubber-based Triboelectric Nanogenerators: From Manufacturing to Application
Authors: Shen Dianlong , Du Tailii , Dong Fangyang , Cai Hu , Aziz Noor , Du Xiannan , Zou Yongjiu , Lee Chengkuo , Xu Minyi 
Published: January 2025

Abstract
Wearable bioelectronic devices are rapidly evolving towards miniaturisation and multifunctionality, with remarkable features such as flexibility and comfort. However, achieving sustainable power supply for wearable bioelectronic devices is still a great challenge. Triboelectric nanogenerators (TENGs) can efficiently convert irregular, low-frequency bioenergy from the human body into electrical energy. Besides sustainable powering of wearable bioelectronics, the electrical energy contains rich information for human body sensing. In this conversion process, suitable material is one of the most important factors affecting the output performance of the TENGs. Among different materials, silicone rubber (SR) is widely applied because of its plasticity, flexibility and comfortability, etc. Moreover, it can also achieve some extreme functions, such as strong robustness, good stability, self-healing, rapid response and other functions after treatment. In this review, recent advances of wearable silicone rubber-based TENGs (SR-TENGs) are systematically reviewed in the view of application in different parts of human body. Because the manufacturing method of SR-TENGs largely determines its output performance and sensitivity. It introduce the design of SR-TENGs, including material selection, process modulation and structure optimization. And in the harsh external environment, through the process manufacturing, to achieve extreme output performance and mechanical stability. Finally, the prospects and challenges of SR-TENGs are proposed. It is expected to promote the effective development of SR-TENGs in biomechanical energy harvesting and self-powered sensing.
Design of compact true wireless stereo (TWS) antenna in earphones for wearable communication applications
Authors: Nadh B Prudhvi , Swamy Banothu YVNR , Ramakrishna Yarlagadda , Anveshini D , Kandula Srinivasa Rao , V Lokesh Raju , Das Priyanka , Madhav B T P 
Published: January 2025

Abstract
An ear-bar true wireless stereo (TWS) earphone antenna is designed and analysed to enhance the radiation efficiency, path gain with reduced specific absorption rate (SAR). The proposed design consists of a meander line structure printed on a flexible substrate of polyimide material. The antenna works for ISM band applications covering the frequency range 2.4–2.48 GHz with 80 MHz bandwidth. As the antenna is designed for earphone applications, it is simulated and measured inside the ear-bar for on body performance analysis yielding a gain value of 6.7 dBi. The individual design is placed inside the ear bar and attained a gain of 4.04 dBi. SAR analysis is carried out for investigating the radiated emissions of the proposed antenna and obtained the SAR of 0.707 W K−1g−1, when placed on the human body. As the designed antenna should exhibit binaural hearing, ear to ear (E2E) link analysis is carried out and path gain of −58 dB is estimated when the antenna is placed and analysed in both the ears.
Combined effect of incentives and coupling in multigames in two-layer networks
Authors: Jiang Luo-Luo , Li Yi-Ming , Li Wen-Jing , Szolnoki Attila 
Published: January 2025

Abstract
The lack of cooperation can easily result in inequality among members of a society, which provides an increasing gap between individual incomes. To tackle this issue, we introduce an incentive mechanism based on individual strategies and incomes, wherein a portion of the income from defectors is allocated to reward low-income cooperators, aiming to enhance cooperation by improving the equitable distribution of wealth across the entire population. Moreover, previous research has typically employed network structures or game mechanisms characterized by homogeneity. In this study, we present a network framework that more accurately reflects real-world conditions, where agents are engaged in multiple games, including prisoner’s dilemma games in the top-layer and public good games in the down-layer networks. Within this framework, we introduce the concept of ‘external coupling’ which connects agents across different networks as acquaintances, thereby facilitating access to shared datasets. Our results indicate that the combined positive effects of external coupling and incentive mechanism lead to optimal cooperation rates and lower Gini coefficients, demonstrating a negative correlation between cooperation and inequality. From a micro-level perspective, this phenomenon primarily arises from the regular network, whereas suboptimal outcomes are observed within the scale-free network. These observations help to give a deeper insight into the interplay between cooperation and wealth disparity in evolutionary games in large populations.
Fitness centrality: a non-linear centrality measure for complex networks
Authors: Servedio Vito D P , Bellina Alessandro , Calò Emanuele , De Marzo Giordano 
Published: January 2025

Abstract
As often happens in science, tools, and methods originally developed in one field can unexpectedly become useful in others. This paper explores the formalism of Economic Fitness Complexity (EFC), initially designed to predict and explain the economic trajectories of countries, cities, and regions, which has also proven applicable in diverse contexts such as ecology and chess openings. The success of EFC is attributed to its ability to indirectly assess hidden capabilities within a system. However, existing EFC algorithms are constrained to bipartite graphs, becoming inapplicable even with minor deviations in the bipartite structure. This paper introduces an extension of EFC and its cousin Economic Complexity Index that applies to any graph, thereby overcoming the bipartite constraint. This extension introduces fitness centrality, a novel centrality measure that can be used for assessing node vulnerability. By broadening the scope of economic complexity analysis to diverse network structures, this work expands the applicability and robustness of EFC in complexity science.
Practically effective adjustment variable selection in causal inference
Authors: Noda Atsushi , Isozaki Takashi 
Published: January 2025

Abstract
In the estimation of causal effects, one common method for removing the influence of confounders is to adjust the variables that satisfy the back-door criterion. However, it is not always possible to uniquely determine sets of such variables. Moreover, real-world data is almost always limited, which means it may be insufficient for statistical estimation. Therefore, we propose criteria for selecting variables from a list of candidate adjustment variables along with an algorithm to prevent accuracy degradation in causal effect estimation. We initially focus on directed acyclic graphs (DAGs) and then outlines specific steps for applying this method to completed partially DAGs (CPDAGs). We also present and prove a theorem on causal effect computation possibility in CPDAGs. Finally, we demonstrate the practical utility of our method using both existing and artificial data.
Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks
Authors: Nowotny Thomas , Turner James P , Knight James C 
Published: January 2025

Abstract
Event-based machine learning promises more energy-efficient AI on future neuromorphic hardware. Here, we investigate how the recently discovered Eventprop algorithm for gradient descent on exact gradients in spiking neural networks (SNNs) can be scaled up to challenging keyword recognition benchmarks. We implemented Eventprop in the GPU-enhanced neural networks framework (GeNN) and used it for training recurrent SNNs on the Spiking Heidelberg Digits (SHD) and Spiking Speech Commands (SSC) datasets. We found that learning depended strongly on the loss function and extended Eventprop to a wider class of loss functions to enable effective training. We then tested a large number of data augmentations and regularisations as well as exploring different network structures; and heterogeneous and trainable timescales. We found that when combined with two specific augmentations, the right regularisation and a delay line input, Eventprop networks with one recurrent layer achieved state-of-the-art performance on SHD and good accuracy on SSC. In comparison to a leading surrogate-gradient-based SNN training method, our GeNN Eventprop implementation is 3× faster and uses 4× less memory. This work is a significant step towards a low-power neuromorphic alternative to current machine learning paradigms.
Bridging incremental to transformative hazard management strategies on the Tule River Indian Reservation
Authors: Herbert Natalie , Beckman Caroline , Vera Kerri , Coles Eric , Kim Thomas , Cho Seung-Hyun , Wong-Parodi Gabrielle 
Published: January 2025

Abstract
Compounding hazards are becoming more common due to global environmental change. To build societal resilience, there is a need to focus on how people are made vulnerable by our social, political, and economic systems that turn hazards into disasters. Incremental adaptation, often piecemeal and hazard-specific actions, will be insufficient for keeping pace with the rapid global environmental changes already underway. Instead, transformative adaptation is necessary for meeting this need, although the pathways for how to create transformative as opposed to incremental change through individual action and social systems are challenging. These challenges for climate adaptation are on display in rural American Indian Tribal Nations, including the Tule River Indian Reservation, the site of this co-produced research. The Reservation is rural and isolated, and many of the 2000 members manage chronic health conditions like diabetes alongside increasing wildfire and wildfire smoke, extreme heat, drought, and flooding hazards. We ask: how do emergency managers and health practitioners on the Reservation characterize hazards and the vulnerabilities of the people they serve, and how do these understandings determine viable pathways for adaptation to support community health? We interviewed 16 practitioners with expertise in emergency management and health care services on the Tule River Indian Reservation. Using a grounded theory approach to analyze practitioner interviews, our article makes two major contributions. First, we identify a conceptual framework by which practitioners connect people to each other and to place, from place to compounding hazards, and from vulnerabilities to hazard management strategies. Second, our conceptual framework illustrates the incremental-transformative adaptation tension. Most adaptation strategies under consideration or implemented are incremental in nature and hazard-specific. Yet, we demonstrate how action at earlier points in the framework could promise transformative adaptation, addressing the disconnection between people, place, and infrastructure in ways that incremental adaptation actions cannot.
Decision Science
Authors: Fischhoff Baruch 
Published: January 2025

Abstract
Decision science, or behavioral decision research, is a core management science discipline that provides one essential element of the strategy proposed in later chapters, for management science to lead in bringing disciplinary sciences to bear on problems that cross disciplines. This chapter situates decision science in the evolution of management science and then uses it to illustrate how the intricacies of a disciplinary science both create and constrain its wisdom. These illustrations focus on nuances of seemingly simple studies that are hidden in plain sight for people without disciplinary training. The chapter emphasizes the self-awareness (and humility) that scientists need if they are to recognize the limits to their understanding and reach out for help from disciplines with complementary wisdom.
A Vision for Management Science
Authors: Fischhoff Baruch 
Published: January 2025

Abstract
Schools of management can be centers of excellence for developing and applying the procedures needed to bring disciplines and decision makers together. Whether they apply those procedures will depend on the incentives that they provide to members of their community. This chapter advocates an incentive system common to schools of engineering, which rewards members who both publish in outlets that advance their discipline (journals or conference proceedings) and demonstrate their ability to make themselves useful by applying disciplinary knowledge in applications that, over time, advance their disciplines through lessons learned in interactions with other disciplines and decision makers. The chapter offers examples of such collaborations and educational initiatives that prepare people for them.
The ‘New’ and the ‘Now’
Authors: French Jade Elizabeth 
Published: January 2025

Abstract
Chapter 1 examines how Loy, Barnes, and H.D. situated, represented, and responded to older people in their earlier works. As the ‘modern woman’ who ages, this chapter explores the differences between the ‘new’, the fleeting time of trends, and the ‘now’, the lived experience of the present. Working as a journalist, Barnes was attuned to the metropolis as an intergenerational space, wherein the young can learn from their older counterparts’ experience. Articles such as ‘Veterans in Harness’ (1913) and ‘I’m Plain Mary Jane of the USA’ (1915) show reverence for the older people who made New York, which has both advantages and drawbacks in the early twentieth-century. In the mid-century, Mina Loy’s Bowery period gives a voice to invisible older women in ‘Chiffon Velours’ (1944), as she writes from the vantage point of herself being middle-aged. In works such as ‘A Hard Luck Story’ (n.d.) and ‘An Aged Woman’ (n.d.), Loy explores the invisibility of ageing for women and the temporality of the ‘fourth age’: the liminal space of the last stage of life. In the 1950s, H.D. used visual signifiers of ageing to embrace the image of the older femme fatale in her late photographs. I argue that each author had a complex and nuanced understanding of ageing from their earliest works, which will be complicated in the remaining chapters as I turn to the lived experience of each in later life.
‘Still Occurring’
Authors: French Jade Elizabeth 
Published: January 2025

Abstract
In 1964, Barnes wrote to Natalie Barney with a distinct lack of news: ‘and of me, what can I tell you, except that I still occur’. Chapter 2 reflects on how ‘still occurring’ is another facet of ageing for Loy, H.D., and Barnes. In their later years, each suffered the experience of being pinned to their past. They were no longer framed as ‘new’ practitioners yet continued to live and work amongst their networks. Situating the authors geographically, I open with a discussion of Barnes’s letters with Natalie Barney to suggest their shared experiences of ageing and the difficulties Barnes reports about being able to continue creatively. I read Barnes’s correspondence alongside Bryher and H.D.’s practice of writing daily letters, suggesting they were part of a care routine that underpinned H.D.’s late creative output. I next examine Barnes’s response to being reported on as a once-important literary light even as she continued to make new work and wrote personal counter-narratives to reports on her decline in correspondence with Samuel Beckett. Finally, I read Mina Loy’s interview with Paul Blackburn and Robert Vas Dias in 1961 as a document of intergenerational communication, paying attention to the ways that Loy resists linear chronology in favour of relating the experiences of the present moment. Overall, the chapter examines the tensions embedded in ‘still occurring’ beyond one’s own literary period.