bluuebunny/crossref_metadata_2025_split huggingface dataset:
Early Pleistocene Orbital‐Scale Variability in Australian Northwest Shelf Sediments
Authors: Zhao Song , Grant Katharine M. , Heslop David , Gallagher Stephen J. , Bolton Clara T. , Auer Gerald 
Published: October 2024

AbstractPaleoclimate proxy records from regions sensitive to humidity/aridity extremes provide crucial insights into the natural forcing mechanisms underlying long‐term climate variability in broader regions. One such area is Northwest Australia, where the Australian monsoon impacts its northernmost fringes, which are bordered by the Great Sandy Desert inland. Marine sediments from the Australian Northwest Shelf record fluvial run‐off and eolian dust input during the wet and dry seasons, respectively. The location is therefore ideal for investigating long‐term variability in the Australian monsoon and Northwest Australian dust flux over orbital timescales. However, there are few continuous, high‐resolution paleoclimate records from this region spanning the early Pleistocene, when strong ice‐climate feedbacks of the late Pleistocene did not yet dominate global climate. Here, we present geochemical and environmental magnetic proxy records that reveal %CaCO3 and dust‐flux variability between 2.9 and 1.6 million years (Myr) ago from International Ocean Discovery Program Expedition 356 Site U1464 on the Australian Northwest Shelf. We establish a new, orbitally‐tuned chronology for Site U1464, primarily based on ∼400 thousand year (kyr) eccentricity cyclicity in %CaCO3, and observe strong obliquity variability (41 and 54 kyr periodicities) but almost no precession signal in the dust‐flux records. We propose that the 41 kyr cycle in Northwest Australian dust flux could be a linear response to East Asian winter monsoon intensity and/or the summer inter‐tropical insolation gradient (SITIG), whereas the 54 kyr cyclicity might be a non‐linear response to obliquity amplitude modulation via the SITIG effect on the cross‐equatorial atmospheric circulations.
Multi-particle quantum walks on 3D integrated photonic chip
Authors: Zhou Wen-Hao , Wang Xiao-Wei , Ren Ruo-Jing , Fu Yu-Xuan , Chang Yi-Jun , Xu Xiao-Yun , Tang Hao , Jin Xian-Min 
Published: October 2024

AbstractQuantum walks provide a speed-up in computational power for various quantum algorithms and serve as inspiration for the construction of complex graph representations. Many pioneering works have been dedicated to expanding the experimental state space and the complexity of graphs. However, these experiments are mostly limited to small experimental scale, which do not reach a many-body level and fail to reflect the multi-particle quantum interference effects among non-adjacent modes. Here, we present a quantum walk with three photons on a two-dimensional triangular lattice, which is mapped to a 19 × 19 × 19 high-dimensional state space and constructs a complex graph with 6859 nodes and 45,486 edges. By utilizing the statistical signatures of the output combinations and incorporating machine learning techniques, we successfully validate the nonclassical properties of the experiment. Our implementation provides a paradigm for exponentially expanding the state space and graph complexity of quantum walks, paving the way for surmounting the classical regime in large-scale quantum simulations.
Non-B DNA-informed mutation burden as a marker of treatment response and outcome in cancer
Authors: Xu Qi , Kowalski Jeanne 
Published: October 2024

Abstract
Background
Genomic instability is crucial in tumorigenesis, with Tumour Mutation Burden (TMB) being a biomarker to indicate therapeutic effectiveness, particularly in immunotherapy. However, TMB is not always a reliable predictor and displays heterogeneity. Non-B DNA, susceptible to mutations, play a significant role in cancer development, indicating their potential merit when combined with mutation for enhanced markers in cancer.

Methods
We assessed mutations and non-B DNA interplay as biomarkers. Our methodology quantifies tumour mutations and their co-localization with non-B DNA, using survival and drug sensitivity assessments for clinical relevance.

Results
We introduce two novel markers, ‘nbTMB’ (non-B-informed tumour mutation burden) and ‘mlTNB’ (mutation-localised tumour non-B burden). In case studies: (1) nbTMB informs on survival heterogeneity among TMB-high patients undergoing immunotherapy whereas TMB is unable to further differentiate; (2) nbTMB informs on altered cisplatin sensitivity among ovarian cancer cell lines whereas TMB is unable to differentiate; and (3) mlTNB informs on survival heterogeneity among early-stage pancreatic cancer progressors in whom other markers of genomic instability fail to differentiate.

Conclusions
These novel markers offer a nuanced approach to enhance our understanding of treatment responses and outcomes in cancer, underscoring the need for a comprehensive exploration of the interplay between non-B and B-DNA features.
Absence of Langerhans cells resulted in over-influx of neutrophils and increased bacterial burden in skin wounds
Authors: Wang Zheng-Cai , Hu Yan-Yan , Shen Xiao Z. , Tan Wei-Qiang 
Published: October 2024

AbstractLangerhans cells (LCs) are resident dendritic cells in the epidermis and their roles in presenting antigens derived from microorganisms present in the skin has been well appreciated. However, it is generally thought that incoming neutrophils are mainly responsible for eradicating invading pathogens in the early stage of wounds and a role of LCs in innate immunity is elusive. In the current study, we showed that wounds absent of LCs had a delayed closure. Mechanistically, LCs were the primary cells in warding off bacteria invasion at the early stage of wound healing. Without LCs, commensal bacteria quickly invaded and propagated in the wounded area. keratinocytes surrounding the wounds responded to the excessive bacteria by elevated production of CXCL5, resulting in an over-influx of neutrophils. The over-presence of activated neutrophils, possibly together with the aggravated invasion of bacteria, was detrimental to epidermal progenitor cell propagation and re-epithelialization. These observations underscore an indispensable role of LCs as effective guardians that preclude both bacteria invasion and damages inflicted by secondary inflammation.
Retinal pigment epithelium-specific ablation of GPx4 in adult mice recapitulates key features of geographic atrophy in age-related macular degeneration
Authors: Azuma Kunihiro , Suzuki Takafumi , Kobayashi Kenta , Nagahara Masako , Imai Hirotaka , Suga Akiko , Iwata Takeshi , Shiraya Tomoyasu , Aihara Makoto , Ueta Takashi 
Published: October 2024

AbstractAge-related macular degeneration (AMD) is a leading cause of irreversible vision loss in the elderly population, particularly the late-stage of dry AMD known as geographic atrophy (GA), lacks effective treatment options. Genetic mouse models of AMD have revealed the significance of impaired lipid metabolism and anti-oxidative capacity in early/intermediate stage of AMD, but remains unclear in GA that severely damages visual function. Here, to investigate the potential relevance of peroxidized lipids in RPE for late-stage dry AMD, GPx4fl/fl mice underwent subretinal injections of RPE-specific AAV-Cre vector or control AAV vector. RPE-specific GPx4 deficiency led to rapid RPE degeneration resembling key features of late-stage dry AMD, including preceding loss of RPE cell polarity, accumulation of acrolein, malondialdehyde, and 4-hydroxynonenal, photoreceptor loss, lipofuscin-laden subretinal melanophage infiltration, and complement activation. Treatment with α-tocopherol and ferrostatin-1 mitigated RPE degeneration, and shrunk mitochondria were observed in GPx4 deficient mice, suggesting involvement of ferroptosis. Unexpectedly, necrostatin-1s, an inhibitor of necroptosis, also ameliorated RPE degeneration, and activation of RIP3 and MLKL along with inactivation of caspase-8 was observed, indicating crosstalk between ferroptosis and necroptosis pathways. Our findings shed light on the intricate mechanisms underlying RPE degeneration in AMD and highlight GPx4/lipid peroxidation as potential therapeutic targets. RPE-specific ablation of GPx4 in mice provides a valuable tool for further elucidating the interplay between lipid peroxidation, cell death pathways, and AMD pathogenesis, offering new insights for preclinical research and therapeutic development targeting GA.
The homeodomain regulates stable DNA binding of prostate cancer target ONECUT2
Authors: Chatterjee Avradip , Gallent Brad , Katiki Madhusudhanarao , Qian Chen , Harter Matthew R. , Silletti Steve , Komives Elizabeth A. , Freeman Michael R. , Murali Ramachandran 
Published: October 2024

AbstractThe CUT and homeodomain are ubiquitous DNA binding elements often tandemly arranged in multiple transcription factor families. However, how the CUT and homeodomain work concertedly to bind DNA remains unknown. Using ONECUT2, a driver and therapeutic target of advanced prostate cancer, we show that while the CUT initiates DNA binding, the homeodomain thermodynamically stabilizes the ONECUT2-DNA complex through allosteric modulation of CUT. We identify an arginine pair in the ONECUT family homeodomain that can adapt to DNA sequence variations. Base interactions by this ONECUT family-specific arginine pair as well as the evolutionarily conserved residues are critical for optimal DNA binding and ONECUT2 transcriptional activity in a prostate cancer model. The evolutionarily conserved base interactions additionally determine the ONECUT2-DNA binding energetics. These findings provide insights into the cooperative DNA binding by CUT-homeodomain proteins.
Spatial dynamics of CD39+CD8+ exhausted T cell reveal tertiary lymphoid structures-mediated response to PD-1 blockade in esophageal cancer
Authors: Tanoue Kenro , Ohmura Hirofumi , Uehara Koki , Ito Mamoru , Yamaguchi Kyoko , Tsuchihashi Kenji , Shinohara Yudai , Lu Peng , Tamura Shingo , Shimokawa Hozumi , Isobe Taichi , Ariyama Hiroshi , Shibata Yoshihiro , Tanaka Risa , Kusaba Hitoshi , Esaki Taito , Mitsugi Kenji , Kiyozawa Daisuke , Iwasaki Takeshi , Yamamoto Hidetaka , Oda Yoshinao , Akashi Koichi , Baba Eishi 
Published: October 2024

AbstractDespite the success of immune checkpoint blockade (ICB) therapy for esophageal squamous cell cancer, the key immune cell populations that affect ICB efficacy remain unclear. Here, imaging mass cytometry of tumor tissues from ICB-treated patients identifies a distinct cell population of CD39+PD-1+CD8+ T cells, specifically the TCF1+ subset, precursor exhausted T (CD39+ Tpex) cells, which positively correlate with ICB benefit. CD39+ Tpex cells are predominantly in the stroma, while differentiated CD39+ exhausted T cells are abundantly and proximally within the parenchyma. Notably, CD39+ Tpex cells are concentrated within and around tertiary lymphoid structure (TLS). Accordingly, tumors harboring TLSs have more of these cells in tumor areas than tumors lacking TLSs, suggesting Tpex cell recruitment from TLSs to tumors. In addition, circulating CD39+ Tpex cells are also increased in responders following ICB therapy. Our findings show that this unique subpopulation of CD39+PD-1+CD8+ T cells is crucial for ICB benefit, and suggest a key role in TLS-mediated immune responses against tumors.
In vitro analysis suggests that SARS-CoV-2 infection differentially modulates cancer-like phenotypes and cytokine expression in colorectal and prostate cancer cells
Authors: Serwaa Alberta , Oyawoye Fatima , Owusu Irene Amoakoh , Dosoo Daniel , Manu Aaron Adom , Sobo Augustine Kojo , Fosu Kwadwo , Olwal Charles Ochieng , Quashie Peter Kojo , Aikins Anastasia Rosebud 
Published: October 2024

AbstractThe coronavirus disease 2019 (COVID-19) reportedly exacerbates cancer outcomes. However, how COVID-19 influences cancer prognosis and development remains poorly understood. Here, we investigated the effect of Severe Acute Respiratory Syndrome Corona Virus 2 (SARS-CoV-2), the etiological agent of COVID-19, on cellular cancer phenotypes the expression of cancer-related markers, and various proinflammatory cytokines. We infected prostate (22RV1) and colorectal (DLD-1) cancer cell lines, which express angiotensin-converting enzyme 2 (ACE2), with spike pseudovirus (sPV) and laboratory stocks of live SARS-CoV-2 viruses. After infection, we quantified changes in the cellular cancer phenotypes, the gene expression levels of some cancer markers, including Ki-67, BCL-2, VIM, MMP9, and VEGF, and proinflammatory cytokines. Phenotypic analysis was performed using MTT and wound healing assays, whereas gene expression analysis was carried out using real-time quantitative PCR (RT-qPCR). We show that SARS-CoV-2 infection impacts several key cellular pathways involved in cell growth, apoptosis, and migration, in prostate and colorectal cancer cells. Our results suggest that SARS-CoV-2 infection does influence various cancer cellular phenotypes and expression of molecular cancer markers and proinflammatory cytokines, albeit in a cell-type-specific manner. Our findings hint at the need for further studies and could have implications for evaluating the impact of other viruses on cancer progression.
Metabolic characteristics of ischaemic preconditioning induced performance improvement in Taekwondo athletes using LC‒MS/MS-based plasma metabolomics
Authors: Ou Ziyue , Yang Liang , Wu Jingyun , Xu Mingxin , Weng Xiquan , Xu Guoqin 
Published: October 2024

AbstractIn recent years, ischemic preconditioning (IPC) has garnered significant attention in sports research. While IPC has demonstrated positive effects in high-intensity sports such as judo and swimming, its potential benefits for enhancing the performance of Taekwondo athletes have not been extensively studied. This study aimed to investigate the effects of IPC on taekwondo performance and to observe the metabolic characteristics associated with enhancing sports performance via LC‒MS/MS-based plasma metabolomics. Seventeen participants underwent the repeated frequency speed of kick test (FSKT) after IPC, along with pre- and post-exercise plasma metabolite analysis. Differential abundance metabolite analysis, enriched pathway analysis, and weighted gene coexpression network analysis (WGNCA) were employed to delve into metabolic characteristics. The findings highlighted a significant enhancement in FSKT performance in the experimental group. Metabolomic analysis revealed 109 differentially abundant metabolites, including Dl-lactate, hypoxanthine, acetylcarnitine, and acetylsalicylic acid. Enriched pathway analysis revealed pathways such as pentose and glucuronic acid interconversion, ascorbic acid and aldonic acid metabolism, the pentose phosphate pathway (PPP), and the Warburg effect. In conclusion, IPC can significantly increase the specific athletic abilities of Taekwondo athletes, with enhancements linked to anaerobic metabolism, PPP utilization, the Warburg effect for energy production, redox system stability, reduced muscle fatigue, and pain alleviation.
Monitoring pilot trainees’ cognitive control under a simulator-based training process with EEG microstate analysis
Authors: Zhao Mengting , Jia Wenjun , Jennings Sion , Law Andrew , Bourgon Alain , Su Chang , Larose Marie-Hélène , Grenier Hugh , Bowness David , Zeng Yong 
Published: October 2024

AbstractThe objective of pilot training is to equip trainees with the knowledge, judgment, and skills to maintain control of an aircraft and respond to critical flight tasks. The present research aims to investigate changes in trainees’ cognitive control levels during a pilot training process while they underwent basic flight maneuvers. EEG microstate analysis was applied together with spectral power features to quantitatively monitor trainees’ cognitive control under varied flight tasks during different training sessions on a flight simulator. Not only could EEG data provide an objective measure of cognitive control to complement the current subjective assessments, but the application of EEG microstate analysis is particularly well-suited for capturing rapid dynamic changes in cognitive states that may happen under complex human activities in conducting flight maneuvers. Comparisons were conducted between two types of tasks and across different training stages to monitor how pilot trainees’ cognitive control responds to varied flight task types and training stages. The present research provides insights into the changes in trainees’ cognitive control during a pilot training process and highlights the potential of EEG microstate analysis for monitoring cognitive control.
Garbage prediction using regression analysis for municipal corporations of Indian cities
Authors: Sharma Raj Kumar , Jailia Manisha 
Published: October 2024

AbstractGarbage management is exceptionally critical and poses enormous environmental challenges. It has always been a vital issue in municipal corporations. However, municipal agencies have developed and used garbage management systems. Garbage forecasting still plays a crucial role in the management system and helps improve or create a garbage management system. This research examines the information from 212 cities to suggest a helpful regression model for garbage forecasting and control. To establish a connection between the variables, the descriptive study employs statistical techniques to learn about the composition of data collected from municipal corporations and conduct correlation analysis. Population and garbage depend highly on one another, as evidenced by their correlation coefficient of 0.922,144. The primary research is used to build an alternate hypothesis that shows the chosen variables are highly dependent on one another. The dataset is scaled and divided into a training and testing 80:20 ratio during the pre‐processing data phase. This research aims to do a regression analysis with daily garbage production, urban area, and population as independent variables. This research initiates a variety of regression models, including multiple linear regression (MLR), artificial neural network (ANN), decision tree regression (DTR), and random forest regression (RFR). The MLR model's R2 value of 0.85 indicates that it has the potential to accurately forecast daily garbage production based on just two independent variables and a single dependent variable. Random Forest Regression (RFR) with (MSE: 100,078.749 & MAE: 182.212) shows that it has the lowest MSE among all the models, which provides the most accurate predictions on average and the fit values of 8.85 and 316.23 obtained from the error distribution with a bin value 25. The estimated results from each model are compared to the test data values on line graphs and Taylor plots. The mean square error and the mean absolute error in the analysis and the Taylor plot show that the RFR model is best suited for predicting daily garbage production in a city. This research, therefore, provides a Random Forest model that is optimal for such challenges and is recommended for this class of problem.
A single phase nine level common ground switched capacitor inverter with double boosting capability
Authors: Azad Md Adil , Sarwar Adil , Zaid Mohammad , Tariq Mohd , Bakhsh Farhad Ilahi , Ahmad Shafiq , Sayed Abdelaty Edrees , Islam Md Rasidul 
Published: October 2024

AbstractThis article suggests a nine‐level (9L) seven‐switch (7S) transformer‐less (TL) common‐ground (CG) switched capacitor (SC) inverter with double boosting capability. The proposed 9L7S‐CGSC‐TL inverter comprises only seven switches (7S), two diodes, three self‐balanced capacitors, and one DC source. The suggested inverter has a CG connection which eliminates ground leakage currents. Additionally, the suggested topology necessitates fewer conducting devices, thereby reducing conduction losses. The voltage across every capacitor is automatically balanced within each fundamental cycle. The proposed topology has been evaluated based on parameters such as component count, total harmonic distortion, cost, and efficiency. The proposed configuration switching sequence is governed by employing the level‐shifted pulse width modulation technique. A power loss study was conducted to determine the efficiency of the proposed switched capacitor multilevel inverter (SCMLI) under different load conditions in PLECS. The results shows that the proposed SCMLI achieves a peak efficiency of 98.17%. Further, the lifespan of the proposed SCMLI is assessed through a reliability assessment. The simulation and experimental results at different conditions are presented and elucidated.
Robust sliding mode control for the MMC‐HVDC transmission system with SCR uncertainty
Authors: Gharaghani Farzin , Asadi Mehdi 
Published: October 2024

AbstractModular multilevel green converter based high voltage direct current (MMC‐HVDC) transmission system has become a practical solution to interconnect renewable energy sources to main AC grids. Connecting the MMC to a weak AC system is still a challengeable problem. This paper proposes a sliding mode control‐based method for the MMC. By considering short circuit ratio parameter of the AC grid as uncertainty, a suitable mathematical model is developed. Also, relations among control parameters and their validity conditions are obtained. The proposed control scheme has faster dynamic responses to uncertainty and external disturbances compared to the conventional vector current control method with proportional–integral controller. At last, simulation results in the MATLAB/SIMULINK software environment are presented that the proposed control scheme is effective.
Disturbance‐rejection adjacent vector model predictive control strategy based on extended state observer for EV converter
Authors: Zhang Jianwei , Cao Qiaosen , Liu Guangchen , Rivera Marco , Wheeler Patrick 
Published: October 2024

AbstractConventional single‐vector model predictive control (MPC) can suffer from low control accuracy, while multi‐vector MPC is often criticized for its complexity and heavy computational burden. In order to address these issues, an adjacent vector‐based MPC is investigated in this paper for an electric vehicle battery charging and discharging converter. The voltage vector selection table based on the principle of using adjacent vectors has been designed and this reduces the number of iterations and thus the computational burden. A threshold is used in the adjacent vector‐based MPC to coordinate the use of the single and multi‐vector MPCs considering a balance between the control accuracy and computational burden. In addition, to enhance the robustness of MPC to parameter changes, an extended state observer for active disturbance rejection control has been used to derive the predictive model, and an adjacent vector‐based MPC using extended state observer is studied. The method does not need accurate system parameters. Instead, it only requires the system input and output measurements to calculate the predicted current. The robustness of the controller against the parameter mismatch is enhanced compared to alternative approaches and the experimental results verify the feasibility and effectiveness of the proposed strategy.