bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mobility-aware federated self-supervised learning in vehicular network
Authors: Gu Xueying , Wu Qiong , Fan Qiang , Fan Pingyi 
Published: September 2024

AbstractThe development of the Internet of Things has led to a significant increase in the number of devices, consequently generating a vast amount of data and resulting in an influx of unlabeled data. Collecting these data enables the training of robust models to support a broader range of applications. However, labeling these data can be costly, and the models dependent on labeled data are often unsuitable for rapidly evolving fields like vehicular networks and mobile Internet of Things, where new data continuously emerge. To address this challenge, Self-Supervised Learning (SSL) offers a way to train models without the need for labels. Nevertheless, the data stored locally in vehicles are considered private, and vehicles are reluctant to share data with others. Federated Learning (FL) is an advanced distributed machine learning approach that protects each vehicle’s privacy by allowing models to be trained locally and the model parameters to be exchanged across multiple devices simultaneously. Additionally, vehicles capture images while driving through cameras mounted on their rooftops. If a vehicle’s velocity is too high, the captured images, donated as local data, may be blurred. Simple aggregation of such data can negatively impact the accuracy of the aggregated model and slow down the convergence speed of FL. This paper proposes a FL algorithm for aggregation based on image blur levels, which is called FLSimCo. This algorithm does not require labels and serves as a pre-training stage for SSL in vehicular networks. Simulation results demonstrate that the proposed algorithm achieves fast and stable convergence.
Rumen microbiome nutriomics: Harnessing omics technologies for enhanced understanding of rumen microbiome functions and ruminant nutrition
Authors: Yu Zhongtang , Yan Ming , Wang Jiakun 
Published: September 2024

Abstract
The rumen microbiome has attracted tremendous interest among microbiologists and ruminant nutritionists because of its crucial role in mediating feed digestion and fermentation and supplying most of the energy, nutrients, and precursors for producing ruminant products. The application of various omics technologies, including metataxonomics, metagenomics, metatranscriptomics, metaproteomics, and metabolomics, have enabled unprecedented investigations into this ecosystem, shedding new light on its interactions with diet and animals and its relationships with key production traits. Despite the valuable insights these omics technologies provide, each has its unique utility and inherent limitations. Achieving a holistic characterization of the rumen microbiome and deciphering its causal relationship with diet and key animal production traits remain an ongoing endeavor. In this perspective review paper, we highlight the limitations of individual technologies and advocate for an integrated multi-omics approach and data analyses in studying the intricate relationships between diet, rumen microbes, and ruminant nutrition. This approach, termed “rumen microbiome nutriomics,” aims to comprehensively understand the rumen microbiome in the context of diets and animal productivity. Our emphasis lies in recognizing the necessity of integrated analysis across multiple data layers, encompassing data of diet, rumen microbiome features, animal genotypes, and production traits and identifying the causal relationship among them. We also call for collaborative efforts to develop a comprehensive rumen microbiome genome database, including prokaryotes, protozoa, fungi, and viruses. Furthermore, standardization of processes and analyses is crucial to address the variability observed in the literature, facilitating comparison of results among future studies and enabling robust data reanalysis through advanced data analytics.
Valuing a Reduction in the Risk of Chronic Kidney Disease: A Large-Scale Multi-Country Stated Preference Approach
Authors: Dockins Chris , Dussaux Damien , Griffiths Charles , Hoffmann Sandra , Simon Nathalie 
Published: September 2024

AbstractCompromised kidney function is associated with an array of environmental contaminants and pathogens that may be considered for regulation. However, there are few valuation estimates for kidney effects for use in benefit–cost analyses, particularly willingness-to-pay estimates. This paper is one of several surveys valuing morbidity developed by the OECD Surveys to elicit Willingness-to-pay to Avoid Chemicals-related negative Health Effects project, which aims to improve the basis for benefit–cost analyses. We report the results of a stated preference survey valuing reduced the risk of symptomatic chronic kidney disease, filling an important gap in the valuation literature and addressing a need for applied benefits analysis of chemical regulation. The survey was administered to representative samples in each of 10 countries: Canada, Chile, China, Denmark, Germany, Italy, Norway, Türkiye, the United Kingdom, and the United States. The mean (median) WTP for an average reduction of 3.5 in 1,000 of the risk of serious kidney disease over 5 years is $2,609 ($764), corresponding to a mean (median) value per statistical case (VSC) of chronic kidney disease of $805,000 ($224,000). The mean VSC varies between $700,000 for Canada and $1,200,000 for Türkiye.
From Compensation to Accommodation: The History of Learning Disabilities in American Higher Education
Authors: Gelber Scott M. 
Published: September 2024

AbstractThis article examines the history of learning disabilities (LDs) on college campuses, from the introduction of the concept in the early 1960s to its spread throughout American higher education during the 1990s. At first, colleges offered relatively little assistance and urged students to compensate for their LDs by working harder and adopting recommended study strategies. After legal and institutional pressures compelled faculty members to provide accommodations for greater numbers of students, many professors worried about the legitimacy of the diagnosis and the possible threat to academic standards. While casting a somewhat sympathetic light on these concerns, the article concludes that many elements of this early set of accommodations were eventually regarded as pillars of competent instruction. This history illuminates the complex tension between institutional support and student responsibilities and the murky distinction between individual accommodations and universally-effective teaching.
Writing in Latin: an experiment in composition among early-stage Latin learners
Authors: Hreben Jennifer 
Published: September 2024

AbstractIn the United Kingdom, especially since its re-introduction into GCSE exams by the coalition government of 2010, Latin composition attracts strong opinions. Indeed, Latin teaching methodologies altogether are highly debated. Traditional methods of grammar-translation are avoided by reading courses because of their supposed elitist nature, yet they are still used by many practitioners, and this is typically where prose composition is seen. This study investigates the use of composition in the teaching of Latin to a group of Year 7 students who usually follow a reading course, to see if writing Latin can be of any benefit to students who otherwise would not write any Latin. There is a great deal of literature on the topic, both in favour and against the pedagogical uses of composition. The aim of this study was to implement techniques from the literature into the students’ lessons, and to see what the outcomes were of this new skill.
The Initial Assessment of Ionospheric Radio Occultation Data of MSS‐1 Satellite and Its Applications in Scintillation Exploration
Authors: Wu M. J. , Yue H. Y. , Guo P. , Ma X. , Li H. G. , Dong J. J. , Zuo F. F. 
Published: September 2024

AbstractThe Macau Science Satellites (MSS‐1) mission, consisting of twin low earth orbit satellites (Satellite A and B), is the first low‐inclination and high‐precision geomagnetic surveying satellite project in China. Among the multiple scientific payloads equipped with the scientific satellites, MSS‐1 carries a GNSS radio occultation (RO) receiver on Satellite A, and aims to observe the Earth's ionosphere and monitor the space weather especially in the South Atlantic Anomaly (SAA) area. This paper focuses on the ionospheric data of MSS‐1 obtained during the first 3 months after its launch, and assesses the RO products as well as initial scintillation measurements. Results show that MSS‐1 RO data have very good agreement with contemporary COSMIC‐2 and ionosonde observations. The scintillation amplitude indices S4 are comparable with that of COSMIC‐2 and well reflect the occurrence rates and distributions of equatorial plasma bubble and sporadic E (Es) in June solstice season. Special attentions are paid to the SAA longitude sector and inspire explorations on the seasonal variations and local‐time dependences of ionospheric irregularities.
Is home where the heat is? comparing residence-based with mobility-based measures of heat exposure in San Diego, California
Authors: Garber Michael D. , Teyton Anaïs , Jankowska Marta M. , Carrasco-Escobar Gabriel , Rojas-Rueda David , Barja-Ingaruca Antony , Benmarhnia Tarik 
Published: September 2024

Abstract
Background
Heat can vary spatially within an urban area. Individual-level heat exposure may thus depend on an individual’s day-to-day travel patterns (also called mobility patterns or activity space), yet heat exposure is commonly measured based on place of residence.

Objective
In this study, we compared measures assessing exposure to two heat indicators using place of residence with those defined considering participants’ day-to-day mobility patterns.

Methods
Participants (n = 599; aged 35-80 years old [mean =59 years]) from San Diego County, California wore a GPS device to measure their day-to-day travel over 14-day intervals between 2014-10-17 and 2017-10-06. We measured exposure to two heat indicators (land-surface temperature [LST] and air temperature) using an approach considering their mobility patterns and an approach considering only their place of residence. We compared participant mean and maximum exposure values from each method for each indicator.

Results
The overall mobility-based mean LST exposure (34.7 °C) was almost equivalent to the corresponding residence-based mean (34.8 °C; mean difference in means = −0.09 °C). Similarly, the mean difference between the overall mobility-based mean air temperature exposure (19.2 °C) and the corresponding residence-based mean (19.2 °C) was negligible (−0.02 °C). Meaningful differences emerged, however, when comparing maximums, particularly for LST. The mean mobility-based maximum LST was 40.3 °C compared with a mean residence-based maximum of 35.8 °C, a difference of 4.51 °C. The difference in maximums was considerably smaller for air temperature (mean = 0.40 °C; SD = 1.41 °C) but nevertheless greater than the corresponding difference in means.

Impact
As the climate warms, assessment of heat exposure both at and away from home is important for understanding its health impacts. We compared two approaches to estimate exposure to two heat measures (land surface temperature and air temperature). The first approach only considered exposure at home, and the second considered day-to-day travel. Considering the average exposure estimated by each approach, the results were almost identical. Considering the maximum exposure experienced (specific definition in text), the differences between the two approaches were more considerable, especially for land surface temperature.
Fractionated photoimmunotherapy stimulates an anti-tumour immune response: an integrated mathematical and in vitro study
Authors: Zahid Mohammad U. , Waguespack Matthew , Harman Rebecca C. , Kercher Eric M. , Nath Shubhankar , Hasan Tayyaba , Rizvi Imran , Spring Bryan Q. , Enderling Heiko 
Published: September 2024

Abstract
Background
Advanced epithelial ovarian cancer (EOC) has high recurrence rates due to disseminated initial disease presentation. Cytotoxic phototherapies, such as photodynamic therapy (PDT) and photoimmunotherapy (PIT, cell-targeted PDT), have the potential to treat disseminated malignancies due to safe intraperitoneal delivery.

Methods
We use in vitro measurements of EOC tumour cell and T cell responses to chemotherapy, PDT, and epidermal growth factor receptor targeted PIT as inputs to a mathematical model of non-linear tumour and immune effector cell interaction. The model outputs were used to calculate how photoimmunotherapy could be utilised for tumour control.

Results
In vitro measurements of PIT dose responses revealed that although low light doses (<10 J/cm2) lead to limited tumour cell killing they also increased proliferation of anti-tumour immune effector cells. Model simulations demonstrated that breaking up a larger light dose into multiple lower dose fractions (vis-à-vis fractionated radiotherapy) could be utilised to effect tumour control via stimulation of an anti-tumour immune response.

Conclusions
There is promise for applying fractionated PIT in the setting of EOC. However, recommending specific fractionated PIT dosimetry and timing will require appropriate model calibration on tumour-immune interaction data in human patients and subsequent validation of model predictions in prospective clinical trials.
Specific features of ß-catenin-mutated hepatocellular carcinomas
Authors: Dantzer Camille , Dif Lydia , Vaché Justine , Basbous Sara , Billottet Clotilde , Moreau Violaine 
Published: September 2024

AbstractCTNNB1, encoding the ß-catenin protein, is a key oncogene contributing to liver carcinogenesis. Hepatocellular carcinoma (HCC) is the most common form of primary liver cancer in adult, representing the third leading cause of cancer-related death. Aberrant activation of the Wnt/ß-catenin pathway, mainly due to mutations of the CTNNB1 gene, is observed in a significant subset of HCC. In this review, we first resume the major recent advances in HCC classification with a focus on CTNNB1-mutated HCC subclass. We present the regulatory mechanisms involved in β-catenin stabilisation, transcriptional activity and binding to partner proteins. We then describe specific phenotypic characteristics of CTNNB1-mutated HCC thanks to their unique gene expression patterns. CTNNB1-mutated HCC constitute a full-fledged subclass of HCC with distinct pathological features such as well-differentiated cells with low proliferation rate, association to cholestasis, metabolic alterations, immune exclusion and invasion. Finally, we discuss therapeutic approaches to target ß-catenin-mutated liver tumours and innovative perspectives for future drug developments.
Intracellular zinc protects tumours from T cell-mediated cytotoxicity
Authors: Lelliott Emily J. , Naddaf Jonathan , Ganio Katherine , Michie Jessica , Wang Shelly , Liu Lin , Silke Natasha , Ahn Antonio , Ramsbottom Kelly M. , Brennan Amelia J. , Freeman Andrew J. , Goel Shom , Vervoort Stephin J. , Kearney Conor J. , Beavis Paul A. , McDevitt Christopher A. , Silke John , Oliaro Jane 
Published: September 2024

AbstractTumour immune evasion presents a significant challenge to the effectiveness of cancer immunotherapies. Recent advances in high-throughput screening techniques have uncovered that loss of antigen presentation and cytokine signalling pathways are central mechanisms by which tumours evade T cell immunity. To uncover additional vulnerabilities in tumour cells beyond the well-recognized antigen presentation pathway, we conducted a genome-wide CRISPR/Cas9 screen to identify genes that mediate resistance to chimeric-antigen receptor (CAR)-T cells, which function independently of classical antigen presentation. Our study revealed that loss of core-binding factor subunit beta (CBFβ) enhances tumour cell resistance to T cell killing, mediated through T cell-derived TNF. Mechanistically, RNA-sequencing and elemental analyses revealed that deletion of CBFβ disrupts numerous pathways including those involved in zinc homoeostasis. Moreover, we demonstrated that modulation of cellular zinc, achieved by supplementation or chelation, significantly altered tumour cell susceptibility to TNF by regulating the levels of inhibitor of apoptosis proteins. Consistent with this, treatment of tumour cells with a membrane-permeable zinc chelator had no impact on tumour cell viability alone, but significantly increased tumour cell lysis by CD8+ T cells in a TNF-dependent but perforin-independent manner. These results underscore the crucial role of intracellular zinc in regulating tumour cell susceptibility to T cell-mediated killing, revealing a novel vulnerability in tumour cells that might be exploited for the development of future cancer immunotherapeutics.
N6-methyladenosine (m6A) writer METTL5 represses the ferroptosis and antitumor immunity of gastric cancer
Authors: Li Xinli , Yang Guoqiang , Ma Lihong , Tang Bingxi , Tao Tao 
Published: September 2024

AbstractEmerging evidence has shown that ferroptosis and antitumor immunity response of T lymphocytes play critical roles in multiple malignancies, including gastric cancer (GC). Here, the present research aims to reveal the function of novel N6-methyladenosine (m6A) methyltransferase METTL5 on GC immune microenvironment. Clinically, elevated METTL5 was negatively correlated to the prognosis of GC patients. METTL5 high-expression repressed the Fe2+ accumulation and ferroptosis to promote the GC immune evasion escaping from activated PBMCs’ killing effect. Mechanistically, upregulation of METTL5 promoted NRF2 mRNA stability, thereby inactivating the ferroptosis and repressing PBMCs’ cells antitumor immunity. One valuable finding is that ferroptosis inhibitor (Ferrostatin-1, Fer-1) could reduce the antitumor immunity of cocultured PBMCs. In other words, the increase of ferroptosis might contribute to the anti-tumor efficacy of immunotherapy. Further study revealed that m6A reader IGF2BP1 mediated the stability of NRF2 mRNA via METTL5/m6A/NRF2 axis. Collectively, these results demonstrate that METTL5 functions as an oncogene in GC immune microenvironment, and highlights a critical role in T lymphocytes’ antitumor immunity.
Sub-threshold neuronal activity and the dynamical regime of cerebral cortex
Authors: Amsalem Oren , Inagaki Hidehiko , Yu Jianing , Svoboda Karel , Darshan Ran 
Published: September 2024

AbstractCortical neurons exhibit temporally irregular spiking patterns and heterogeneous firing rates. These features arise in model circuits operating in a ‘fluctuation-driven regime’, in which fluctuations in membrane potentials emerge from the network dynamics. However, it is still debated whether the cortex operates in such a regime. We evaluated the fluctuation-driven hypothesis by analyzing spiking and sub-threshold membrane potentials of neurons in the frontal cortex of mice performing a decision-making task. We showed that while standard fluctuation-driven models successfully account for spiking statistics, they fall short in capturing the heterogeneity in sub-threshold activity. This limitation is an inevitable outcome of bombarding single-compartment neurons with a large number of pre-synaptic inputs, thereby clamping the voltage of all neurons to more or less the same average voltage. To address this, we effectively incorporated dendritic morphology into the standard models. Inclusion of dendritic morphology in the neuronal models increased neuronal selectivity and reduced error trials, suggesting a functional role for dendrites during decision-making. Our work suggests that, during decision-making, cortical neurons in high-order cortical areas operate in a fluctuation-driven regime.
Automated design of multi-target ligands by generative deep learning
Authors: Isigkeit Laura , Hörmann Tim , Schallmayer Espen , Scholz Katharina , Lillich Felix F. , Ehrler Johanna H. M. , Hufnagel Benedikt , Büchner Jasmin , Marschner Julian A. , Pabel Jörg , Proschak Ewgenij , Merk Daniel 
Published: September 2024

AbstractGenerative deep learning models enable data-driven de novo design of molecules with tailored features. Chemical language models (CLM) trained on string representations of molecules such as SMILES have been successfully employed to design new chemical entities with experimentally confirmed activity on intended targets. Here, we probe the application of CLM to generate multi-target ligands for designed polypharmacology. We capitalize on the ability of CLM to learn from small fine-tuning sets of molecules and successfully bias the model towards designing drug-like molecules with similarity to known ligands of target pairs of interest. Designs obtained from CLM after pooled fine-tuning are predicted active on both proteins of interest and comprise pharmacophore elements of ligands for both targets in one molecule. Synthesis and testing of twelve computationally favored CLM designs for six target pairs reveals modulation of at least one intended protein by all selected designs with up to double-digit nanomolar potency and confirms seven compounds as designed dual ligands. These results corroborate CLM for multi-target de novo design as source of innovation in drug discovery.
Factor XII signaling via uPAR-integrin β1 axis promotes tubular senescence in diabetic kidney disease
Authors: Elwakiel Ahmed , Gupta Dheerendra , Rana Rajiv , Manoharan Jayakumar , Al-Dabet Moh’d Mohanad , Ambreen Saira , Fatima Sameen , Zimmermann Silke , Mathew Akash , Li Zhiyang , Singh Kunal , Gupta Anubhuti , Pal Surinder , Sulaj Alba , Kopf Stefan , Schwab Constantin , Baber Ronny , Geffers Robert , Götze Tom , Alo Bekas , Lamers Christina , Kluge Paul , Kuenze Georg , Kohli Shrey , Renné Thomas , Shahzad Khurrum , Isermann Berend 
Published: September 2024

AbstractCoagulation factor XII (FXII) conveys various functions as an active protease that promotes thrombosis and inflammation, and as a zymogen via surface receptors like urokinase-type plasminogen activator receptor (uPAR). While plasma levels of FXII are increased in diabetes mellitus and diabetic kidney disease (DKD), a pathogenic role of FXII in DKD remains unknown. Here we show that FXII is locally expressed in kidney tubular cells and that urinary FXII correlates with kidney dysfunction in DKD patients. F12-deficient mice (F12-/-) are protected from hyperglycemia-induced kidney injury. Mechanistically, FXII interacts with uPAR on tubular cells promoting integrin β1-dependent signaling. This signaling axis induces oxidative stress, persistent DNA damage and senescence. Blocking uPAR or integrin β1 ameliorates FXII-induced tubular cell injury. Our findings demonstrate that FXII-uPAR-integrin β1 signaling on tubular cells drives senescence. These findings imply previously undescribed diagnostic and therapeutic approaches to detect or treat DKD and possibly other senescence-associated diseases.