bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sound innovations for biofabrication and tissue engineering
Authors: Wu Mengxi , Ma Zhiteng , Tian Zhenhua , Rich Joseph T. , He Xin , Xia Jianping , He Ye , Yang Kaichun , Yang Shujie , Leong Kam W. , Lee Luke P. , Huang Tony Jun 
Published: November 2024

AbstractAdvanced biofabrication techniques can create tissue-like constructs that can be applied for reconstructive surgery or as in vitro three-dimensional (3D) models for disease modeling and drug screening. While various biofabrication techniques have recently been widely reviewed in the literature, acoustics-based technologies still need to be explored. The rapidly increasing number of publications in the past two decades exploring the application of acoustic technologies highlights the tremendous potential of these technologies. In this review, we contend that acoustics-based methods can address many limitations inherent in other biofabrication techniques due to their unique advantages: noncontact manipulation, biocompatibility, deep tissue penetrability, versatility, precision in-scaffold control, high-throughput capabilities, and the ability to assemble multilayered structures. We discuss the mechanisms by which acoustics directly dictate cell assembly across various biostructures and examine how the advent of novel acoustic technologies, along with their integration with traditional methods, offers innovative solutions for enhancing the functionality of organoids. Acoustic technologies are poised to address fundamental challenges in biofabrication and tissue engineering and show promise for advancing the field in the coming years.
High-dose chemotherapy with autologous haematopoietic stem cell transplantation in patients with isolated vitreoretinal lymphoma: a LOC network study
Authors: Mainguy Adam , Soussain Carole , Touitou Valérie , Bennedjai Amin , Kodjikian Laurent , Ghesquières Hervé , Damaj Gandhi , Gressin Rémy , Ducloyer Jean-Baptiste , Chinot Olivier , Vautier Anaïs , Moluçon-Chabrot Cécile , Ahle Guido , Taillandier Luc , Marolleau Jean Pierre , Chauchet Adrien , Jardin Fabrice , Cassoux Nathalie , Malaise Denis , Toutée Adélaïde , Touhami Sara , Le Garff-Tavernier Magali , Hoang-Xuan Khê , Choquet Sylvain , Houillier Caroline 
Published: November 2024

AbstractDespite its indolent evolution, vitreoretinal lymphoma (VRL) has a poor prognosis due to a major risk of relapse in the central nervous system (CNS) and may necessitate aggressive therapy. However, the use of high-dose chemotherapy with autologous stem cell transplantation (HCT-ASCT) is poorly documented. We retrospectively analysed from the French LOC network database the adult immunocompetent patients treated with HCT-ASCT for isolated VRL. Thirty-eight patients underwent consolidation with HCT-ASCT for isolated VRL between 2008 and 2019 after induction chemotherapy. Twenty patients had primary VRL, and 18 had an isolated VRL relapse of a primary CNS lymphoma. Three patients underwent HCT-ASCT in first-line treatment, 24 in second-line treatment, and 11 in subsequent lines. At HCT-ASCT, the median age was 61 years, and the median KPS was 90. Thirty-two patients (84%) received high-dose thiotepa-based HCT. One patient (3%) died from HCT-ASCT toxicity. Nineteen (50%) patients relapsed after HCT-ASCT, including 17 cases occurring in the brain. The median progression-free survival, brain-free survival and overall survival from HCT-ASCT were 96, 113 and 92 months, respectively. HCT-ASCT represents an effective therapeutic strategy for select VRL patients, with a tolerable safety profile. However, the risk of subsequent brain relapse remains significant.
Impacts of climate litigation on firm value
Authors: Sato Misato , Gostlow Glen , Higham Catherine , Setzer Joana , Venmans Frank 
Published: November 2024

AbstractCommunities and individuals are turning to courts to hold governments and high-emitting firms to account for the adverse consequences of climate change. Such litigation is part of a broader trend in which stakeholders are increasingly scrutinizing firms for their sustainability practices. For firms, rising climate litigation risk may exacerbate wider sustainability risks. Here we construct a comprehensive database of filings and decisions relating to 108 climate lawsuits against US- and European-listed firms between 2005 and 2021. We show that firms experience, on average, a 0.41% fall in stock returns following a climate-related filing or an unfavourable court decision. Cases filed against Carbon Majors, primarily the world’s largest fossil fuel producers, saw the largest stock market responses, with returns reducing by 0.57% and 1.50% following filings and unfavourable decisions, respectively. Markets respond more to ‘novel’ climate litigation involving new legal arguments or jurisdictions. Our findings suggest that climate litigation provides a way for stakeholders to challenge actual and perceived weaknesses in the sustainability practices of firms. We conclude that financial markets consider such litigation to be a relevant financial risk.
Vibrational noise disrupts Nezara viridula communication, irrespective of spectral overlap
Authors: Janža Rok , Stritih-Peljhan Nataša , Škorjanc Aleš , Polajnar Jernej , Virant-Doberlet Meta 
Published: November 2024

AbstractInsects rely on substrate vibrations in numerous intra- and interspecific interactions. Yet, our knowledge of noise impact in this modality lags behind that in audition, limiting our understanding of how anthropogenic noise affects insect communities. Auditory research has linked impaired signal perception in noise (i.e., masking) to spectral overlap. We investigated the impact of noise with different spectral compositions on the vibrational communication of the stink bug Nezara viridula, examining courtship behaviour and signal representation by sensory neurons. We found negative effects of vibrational noise regardless of spectral overlap, challenging common expectations. Noise impaired the ability of males to recognize the female signal and localise its source: overlapping noise decreased sensitivity of receptor neurons to the signal and disrupted signal frequency encoding by phase-locking units, while non-overlapping noise only affected frequency encoding. Modelling neuronal spike triggering in sensory neurons linked disrupted frequency encoding to interference-induced alterations of the signal waveform. These alterations also affected time delays between signal arrivals to different legs, crucial for localisation. Our study thus unveils a new masking mechanism, potentially unique to insect vibrosensory systems. The findings highlight the higher vulnerability of vibration-mediated behaviour to noise, with implications for insect interactions in natural and anthropogenically altered environments.
Laterality, sexual dimorphism, and human vagal projectome heterogeneity shape neuromodulation to vagus nerve stimulation
Authors: Biscola Natalia P. , Bartmeyer Petra M. , Beshay Youssef , Stern Esther , Mihaylov Plamen V. , Powley Terry L. , Ward Matthew P. , Havton Leif A. 
Published: November 2024

AbstractNeuromodulation by vagus nerve stimulation (VNS) provides therapeutic benefits in multiple medical conditions, including epilepsy and clinical depression, but underlying mechanisms of action are not well understood. Cervical vagus nerve biopsies were procured from transplant organ donors for high resolution light microscopy (LM) and transmission electron microscopy (TEM) to map the human fascicular and sub-fascicular organization. Cervical vagal segments show laterality with right sided dominance in fascicle numbers and cross-sectional areas as well as sexual dimorphism with female dominance in fascicle numbers. The novel and unprecedented detection of numerous small fascicles by high resolution LM and TEM expand the known fascicle size range and morphological diversity of the human vagus nerve. Ground truth TEM quantification of all myelinated and unmyelinated axons within individual nerve fascicles show marked sub-fascicular heterogeneity of nerve fiber numbers, size, and myelination. A heuristic action potential interpreter (HAPI) tool predicts VNS-evoked compound nerve action potentials (CNAPs) generated by myelinated and unmyelinated nerve fibers and validates functional dissimilarity between fascicles. Our findings of laterality, sexual dimorphism, and an expanded range of fascicle size heterogeneity provide mechanistic insights into the varied therapeutic responses and off-target effects to VNS and may guide new refinement strategies for neuromodulation.
Using UK Biobank data to establish population-specific atlases from whole body MRI
Authors: Starck Sophie , Sideri-Lampretsa Vasiliki , Ritter Jessica J. M. , Zimmer Veronika A. , Braren Rickmer , Mueller Tamara T. , Rueckert Daniel 
Published: November 2024

Abstract
Background
Reliable reference data in medical imaging is largely unavailable. Developing tools that allow for the comparison of individual patient data to reference data has a high potential to improve diagnostic imaging. Population atlases are a commonly used tool in medical imaging to facilitate this. Constructing such atlases becomes particularly challenging when working with highly heterogeneous datasets, such as whole-body images, which contain significant anatomical variations.

Method
In this work, we propose a pipeline for generating a standardised whole-body atlas for a highly heterogeneous population by partitioning the population into anatomically meaningful subgroups. Using magnetic resonance images from the UK Biobank dataset, we create six whole-body atlases representing a healthy population average. We furthermore unbias them, and this way obtain a realistic representation of the population. In addition to the anatomical atlases, we generate probabilistic atlases that capture the distributions of abdominal fat (visceral and subcutaneous) and five abdominal organs across the population (liver, spleen, pancreas, left and right kidneys).

Results
Our pipeline effectively generates high-quality, realistic whole-body atlases with clinical applicability. The probabilistic atlases show differences in fat distribution between subjects with medical conditions such as diabetes and cardiovascular diseases and healthy subjects in the atlas space.

Conclusions
With this work, we make the constructed anatomical and label atlases publically available, with the expectation that they will support medical research involving whole-body MR images.
ZBTB48 is a priming factor regulating B-cell-specific CIITA expression
Authors: Rane Grishma , Kuan Vivian L S , Wang Suman , Mok Michelle Meng Huang , Khanchandani Vartika , Hansen Julia , Norvaisaite Ieva , Zulkaflee Naasyidah , Yong Wai Khang , Jahn Arne , Mukundan Vineeth T , Shi Yunyu , Osato Motomi , Li Fudong , Kappei Dennis 
Published: November 2024

AbstractThe class-II transactivator (CIITA) is the master regulator of MHC class-II gene expression and hence the adaptive immune response. Three cell type-specific promoters (pI, pIII, and pIV) are involved in the regulation of CIITA expression, which can be induced by IFN-γ in non-immune cells. While key regulatory elements have been identified within these promoters, our understanding of the transcription factors regulating CIITA expression is incomplete. Here, we demonstrate that the telomere-binding protein and transcriptional activator ZBTB48 directly binds to both critical activating elements within the B-cell-specific promoter CIITA pIII. ZBTB48 knockout impedes the CIITA/MHC-II expression program induced in non-APC cells by IFN-γ, and loss of ZBTB48 in mice silences MHC-II expression in pro-B and immature B cells. Transcriptional regulation of CIITA by ZBTB48 is enabled by ZBTB48-dependent chromatin opening at CIITA pIII upstream of activating H3K4me3 marks. We conclude that ZBTB48 primes CIITA pIII by acting as a molecular on-off-switch for B-cell-specific CIITA expression.
KMT5C leverages disorder to optimize cooperation with HP1 for heterochromatin retention
Authors: Knechtel Justin W , Strickfaden Hilmar , Missiaen Kristal , Hadfield Joanne D , Hendzel Michael J , Underhill D Alan 
Published: November 2024

AbstractA defining feature of constitutive heterochromatin compartments is the heterochromatin protein-1 (HP1) family, whose members display fast internal mobility and rapid exchange with the surrounding nucleoplasm. Here, we describe a paradoxical state for the lysine methyltransferase KMT5C characterized by rapid internal diffusion but minimal nucleoplasmic exchange. This retentive behavior is conferred by sparse sequence features that constitute two modules tethered by an intrinsically disordered linker. While both modules harbor variant HP1 interaction motifs, the first comprises adjacent sequences that increase affinity using avidity. The second motif increases HP1 effective concentration to further enhance affinity in a context-dependent manner, which is evident using distinct heterochromatin recruitment strategies and heterologous linkers with defined conformational ensembles. Despite the linker sequence being highly divergent, it is under evolutionary constraint for functional length, suggesting conformational buffering can support cooperativity between modules across distant orthologs. Overall, we show that KMT5C has evolved a robust tethering strategy that uses minimal sequence determinants to harness highly dynamic HP1 proteins for retention within heterochromatin compartments.
Barriers and Facilitators in Using Surface Electromyography in Swallowing Management: An Implementation Science Study
Authors: Bahia Mariana M. , Carpenter Julia , Cherney Leora R. 
Published: November 2024

Purpose:
This study aimed to identify clinician-perceived barriers and facilitators before the implementation of surface electromyography (sEMG) for swallowing management, implement sEMG biofeedback in swallowing rehabilitation sessions using implementation strategies, and investigate the perceived benefits and drawbacks after the implementation of the sEMG device from the perspectives of speech-language pathologists (SLPs).

Method:
An initial pre-implementation survey characterized the SLPs' practices in swallowing management regarding the use of biofeedback modalities as well as facilitators and barriers to the implementation of sEMG. In the implementation phase, six SLPs attended educational and training meetings, tested, and used sEMG with patients during their swallowing sessions. Finally, a postimplementation survey and focus group assessed the six SLPs' perceptions and experiences using sEMG and identified areas for improvement in the implementation process.

Results:
The majority of the 44 SLPs who answered the pre-implementation survey did not use sEMG in swallowing therapy. The most frequently reported barriers to implementation were reduced sEMG knowledge and lack of training (86.4%), lack of equipment access or availability (68.2%), and patient-related barriers (36.6%). The six SLPs who participated in the implementation phase used sEMG with 30 different patients, conducting a total of 105 sessions. They reported that it was easy to use sEMG during sessions and that sEMG helped them to teach swallowing maneuvers. Additionally, they stated that patients were motivated during sEMG sessions. Ongoing training and mentoring were some of the suggestions for implementation improvements.

Conclusions:
This study exemplifies the collaborative work between researchers and clinicians to facilitate the translation of technologies into clinical practice. Identifying determinants of sEMG implementation and strategies to address barriers was critical to its acceptability and adoption into clinical practice.
Unified diffusion‐based object detection in multi‐modal and low‐light remote sensing images
Authors: Sun Xu , Yu Yinhui , Cheng Qing 
Published: November 2024

AbstractRemote sensing object detection remains a challenge under complex conditions such as low light, adverse weather, modality attacks or losses. Previous approaches typically alleviate this problem by enhancing visible images or leveraging multi‐modal fusion technologies. In view of this, the authors propose a unified framework based on YOLO‐World that combines the advantages of both schemes, achieving more adaptable and robust remote sensing object detection in complex real‐world scenarios. This framework introduces a unified modality modelling strategy, allowing the model to learn abundant object features from multiple remote sensing datasets. Additionally, a U‐fusion neck based on the diffusion method is designed to effectively remove modality‐specific noise and generate missing complementary features. Extensive experiments were conducted on four remote sensing image datasets: Multimodal VEDAI, DroneVehicle, unimodal VisDrone and UAVDT. This approach achieves average precision scores of 50.5, 55.3, 25.1, and 20.7, which outperforms advanced multimodal remote sensing object detection methods and low‐light image enhancement techniques.
Economic consistency enhancement by optimal operation of hybrid WF‐thermal‐EV‐fuel cell system in a power network
Authors: Chowdary Ravindranadh , Gope Sadhan , Dawn Subhojit , Al Mansur Ahmed , Ustun Taha Selim 
Published: November 2024

AbstractThis work introduces an efficient operational strategy for electric vehicles (EVs) to optimize economic outcomes in a wind‐integrated hybrid power system. The proposed method enhances the profitability of a combined wind‐thermal‐EV‐fuel cell system while maintaining grid frequency stability and managing the energy states of EV storage. Accurate wind speed forecasts are crucial, as wind farms must provide projected generation data to the market controller for coordinated scheduling with thermal units. Due to wind speed variability, discrepancies between actual and predicted values can lead to mismatches in wind power output, causing financial penalties from divergence prices. To address this, the optimal deployment of the EV storage system is designed to mitigate these financial impacts. By coordinating EV, wind, and thermal operations, the approach effectively reduces wind power unpredictability and ensures economic efficiency, a necessity in competitive power markets. Four distinct energy states of the EV battery‐ maximum, optimal, low, and minimum, are proposed to enhance cost efficiency. The EV storage mode is dynamically adjusted based on real‐time grid frequency and wind speed data. Additionally, a fuel cell is incorporated to boost economic returns further. The effectiveness of the strategy is validated using an IEEE 30‐bus test system, employing sequential quadratic programming and demonstrating notable improvements over existing methods.
Facets of security and safety problems and paradigms for smart aerial mobility and intelligent logistics
Authors: Ajakwe Simeon Okechukwu , Kim Dong‐Seong 
Published: November 2024

AbstractThe use of unmanned aerial vehicles (UAVs) for smart and speedy logistics is still relatively nascent compared to traditional delivery methods. However, it is witnessing sporadic and steady growth due to booming demands, technological advancement, and regulatory support. The intelligence and integrity of UAV systems depend largely on the underlying cognitive and cybersecurity models, which serve as both eyes and brains to perceive and respond to the myriad of scenarios around them. Smart mobility and intelligent logistic ecosystems (SMiLE) are complex and advanced technological networks which are exposed to several issues. The incorporation of UAVs for priority logistics, thereby extending the coverage and capacity of SMiLE, further heightens these vulnerabilities and questions its security, safety, and sustainability. This review scrutinizes the significant security disruptions, smartness dynamics, and sundry developments for the sustainable deployment of UAVs as an aerial logistics‐based vehicle. Using the PRISMA‐SPIDER methodology, 157 articles were selected for quantitative analysis and 20 review articles for qualitative evaluation. Security and safety issues in UAVs cut across all the layers of logistics operations: components, communication, network architecture, navigation, supply chain etc. Expanding the capacity of SMiLE using UAV demands an intentional and incremental convergence‐based integration of an agile explainable artificial framework for reliable and safety‐conscious smart mobility, a scalable and tamperproof blockchain for multi‐factor authentication, and a zero trust cybersecurity paradigm for inclusive enterprise‐based authorization.
A decoupling strategy for average value control and ripple suppression of capacitor voltages in modular multilevel converters based on notch filters
Authors: Lou Xujie , Xiao Fei , Ren Qiang , Hu Liangdeng 
Published: November 2024

AbstractModular multilevel converters (MMC) have become an emerging hotspot in the field of medium‐voltage drives. A major challenge is the large voltage ripple of sub‐module capacitors at low rotor speeds with high torque. Therefore, it is necessary to achieve ripple suppression while maintaining the average values of the capacitor voltages at their reference. However, the average value control and ripple suppression of the capacitor voltages have a coupling effect during the circulating current control loop, which reduces the performance. This paper proposes a decoupling strategy based on notch filters (NF). First, the coupling problem existing in the traditional control strategy is analysed by theoretical analysis and simulation. Then, the principle and parameter design method of the improved decoupling strategy are introduced. Finally, the performance of the decoupling strategy is experimentally verified using a small prototype.
Fractional order pole fixed second order generalized integrator based control for grid connected solar photovoltaic system
Authors: Badoni Manoj , Singh Alka , Tripathi Ravi Nath , Kumar Rajeev , Singh Vijay Kumar 
Published: November 2024

AbstractIn this article, the development of multi‐functional grid connected solar photovoltaic (PV) system using improved Fractional order Control theory‐based Pole fixed Second Order Generalized Integrator (FO‐PFSOGI) is proposed. The fractional order (FO) control technique offers an advantage to adjust the fixed structure of the integer order and provide additional degree of freedom to achieve accurate response during the system operation. The FO‐PFSOGI control technique is used to extricate fundamental constituent of the non‐sinusoidal load current. The PV system is competent of feeding the local load requisite and may also inject surplus power into the grid. The voltage source converter (VSC) utilized in the grid‐connected system can also be operated as power quality compensator, taking care of harmonics, unbalancing and excess reactive power demand of the local load. The feasibility of multifunctional operations of the converter is established in this article, thus achieving maximum utilization of the power electronics used in the system and reducing the overall cost. A performance comparison of the developed control technique is presented with the conventional techniques in terms of harmonic compensation, weight convergence and computational complexity. The implementation of the controller is modest and extracts fundamental quantities without any phase delay under different loading conditions. The developed system is validated using both simulation and experimental study. A scaled down experimental setup of grid‐connected PV system is implemented in the laboratory and real time performance of the FO‐PFSOGI is demonstrated using variations in system load and PV irradiance.