bluuebunny/crossref_metadata_2025_split huggingface dataset:
Structure of internalizing and externalizing symptoms in early adolescence: A comparison of a bifactor and a two-factor model over time and across reporters
Authors: Scalco Matthew D. , Kotelnikova Yuliya , Evans Miranda , Harshaw Chris , Webre Nicole M. , Lengua Lilliana J. , Colder Craig R. 
Published: February 2025

Abstract
Psychopathology assessed across the lifespan often can be summarized with a few broad dimensions: internalizing, externalizing, and psychosis/thought disorder. Extensive overlap between internalizing and externalizing symptoms has garnered interest in bifactor models comprised of a general co-occurring factor and specific internalizing and externalizing factors. We focus on internalizing and externalizing symptoms and compare a bifactor model to a correlated two-factor model of psychopathology at three timepoints in a large adolescent community sample (N = 387; 55 % female; 83% Caucasian; M age = 12.1 at wave 1) using self- and parent-reports. Each model was tested within each time-point with 25–28 validators. The bifactor models demonstrated better fit to the data. Child report had stronger invariance across time. Parent report had stronger reliability over time. Cross-informant correlations between the factors at each wave indicated that the bifactor model had slightly poorer convergent validity but stronger discriminant validity than the two-factor model. With notable exceptions, this pattern of results replicated across informants and waves. The overlap between internalizing and externalizing pathology is systematically and, sometimes, non-linearly related to risk factors and maladaptive outcomes. Strengths and weaknesses to modeling psychopathology as two or three factors and clinical and developmental design implications are discussed.
Why we Must Change the Bioethical Terminology around So-Called “Lives Not Worth Living,” and “Worthwhile” and “Unworthwhile” Lives
Authors: Bennett Rebecca 
Published: February 2025

Abstract
The terminology of “lives not worth living,” “worthwhile lives,” and “unworthwhile lives,” used by John Harris and many others, has become an accepted linguistic convention in bioethical discussions. These terms are used to distinguish lives of overwhelming negative experience from lives that are or are expected to be of overall positive value. As such, this terminology seems helpful in discussions around resource allocation, end-of-life decision making and questions of when it might be acceptable (and unacceptable) to reproduce. This paper argues that there is, however, a problematic ambiguity inherent in these general terms that is particularly evident when it comes to discussing reproductive choices. It is suggested that in this context, this ambiguity can conceal authoritarian eugenic motivations that are difficult to justify and that many using these terms would not adhere to. As a result, it is argued that we should replace these terms with the terms “intrinsically valuable” and “intrinsically harmful.” This would make it more explicit what exactly is meant and would allow these matters to be debated with greater clarity.
Neurorights versus Externalism about Mental Content: Characterizing the ‘Harm’ of Neurotechnological Mind Reading
Authors: Rainey Stephen 
Published: February 2025

Abstract
Neurorights are widely discussed as a means of protecting phenomena like cognitive liberty and freedom of thought. This article is especially interested in example cases where these protections are sought in light of fast-paced developments in neurotechnologies that appear capable of reading the mind in some significant sense. While it is prudent to take care and seek to protect the mind from prying, questions remain over the kinds of claims that prompt concerns over mind reading. The nature of these claims should influence how exactly rights may or may not offer justifiable solutions. Overall, the exploration of neurotechnological mind reading questions here will come in terms of philosophical accounts of mental content and neuroreductionism. The contribution will be to present a contextualization of questions arising from ‘mind-reading’ neurotechnology, and appraisal of if or how neurorights respond to them.
An aneurysm originating from Abbott’s Artery in coarctation of the aorta: a case report
Authors: Xia Yuting , Wang Bo , An Qi 
Published: February 2025

Abstract
Coarctation of the aorta is a rare congenital cardiovascular anomaly. In some patients, one particular vessel in collateral circulation has achieved recognition as the artery of Hamilton and Abbott. This aberrant pathway can create local turbulence, elevating the risk of aneurysm formation. We report the clinical treatment of a 35-year-old patient with coarctation of the aorta combined with an aneurysm originating from the artery of Hamilton and Abbott to highlight the need for attention to the presence of this artery.
Semantic processing of iconic signs is not automatic: Neural evidence from hearing non-signers
Authors: Akers Emily M. , Midgley Katherine J. , Holcomb Phillip J. , Emmorey Karen 
Published: February 2025

Abstract
Iconicity facilitates learning signs, but it is unknown whether recognition of meaning from the sign form occurs automatically. We recorded ERPs to highly iconic (transparent) and non-iconic ASL signs presented to one group who knew they would be taught signs (learners) and another group with no such expectations (non-learners). Participants watched sign videos and detected an occasional grooming gesture (no semantic processing required). Before sign onset, learners showed a greater frontal negativity compared to non-learners for both sign types, possibly due to greater motivation to attend to signs. During the N400 window, learners showed greater negativity to iconic than non-iconic signs, indicating more semantic processing for iconic signs. The non-learners showed a later and much weaker iconicity effect. The groups did not differ in task performance or in P3 amplitude. We conclude that comprehending the form-meaning mapping of highly iconic signs is not automatic and requires motivation and attention.
Ultra-processed food intake, genetic polymorphisms, and the risk of dyslipidemia in the adult Korean population
Authors: Cho Minsu , Lee Heejin , Lee Jung Eun 
Published: February 2025

Abstract

Objective:
This study aimed to examine the association between ultra-processed food intake and dyslipidemia risk, and whether this association varied by the polygenic score for dyslipidemia in the adult Korean population.

Design:
Prospective cohort study

Setting:
Ultra-processed foods were identified under the NOVA classification. Participants were categorized into <5, 5 to <10, 10 to <15, 15 to <20, and ≥20%E/d of ultra-processed food intake. The polygenic scores for dyslipidemia were calculated from 53,950 single nucleotide polymorphisms. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using multivariate logistic regression models.

Participants:
20,044 Korean adults aged ≥40 years in the Health Examinees (HEXA) study, the Cardiovascular Disease Association Study (CAVAS), and the Korea Association Resource (KARE) study

Results:
During median follow-ups of 4.09, 8.67, and 15.67 years in the HEXA, CAVAS, and KARE studies, respectively, there were a total of 7,331, 786, and 1,732 incident dyslipidemia events. Ultra-processed food intake was not significantly associated with dyslipidemia risk. Compared with <5%E/d, the pooled OR (95% CI) of ≥20%E/d of ultra-processed food intake for dyslipidemia incidence was 1.01 (0.90, 1.13; p for trend=0.83). There was no interaction by dyslipidemia-related genetic variations; ORs (95% CIs) were 1.04 (0.89, 1.22; p for trend=0.91) and 0.98 (0.84, 1.15; p for trend=0.72) for individuals with high and low polygenic scores, respectively (p for interaction=0.90).

Conclusions:
No significant association was observed between ultra-processed food intake and the overall risk of dyslipidemia, nor in subgroups of polygenic scores for dyslipidemia among Korean adults with low ultra-processed food intake.
Analysis of interference effects on CaCS-based radar systems
Authors: Alabd Mohamad Basim , Giroto de Oliveira Lucas , Nuss Benjamin , Zwick Thomas 
Published: February 2025

Abstract
This paper presents a comprehensive analysis of interference events in automotive scenarios based on radar systems equipped with communication-assisted chirp sequence (CaCS). First, it examines the impact of interference on radar and communication functionalities in CaCS systems according to the orientation of the investigated nodes. For this purpose, a graph-based approach is employed with MATLAB simulations to illustrate the potential occurrence of interference on the graph for communication functionality compared with their counterparts on radar. Second, the paper delves into the impact of interference on the synchronization between two communicating CaCS nodes. It extends a previous study to match the frequency of current radar sensors, where chirp estimation, an adjusted version of the Schmidl & Cox algorithm, and correlation are adopted to synchronize the transmitter and receiver of two CaCS communicating nodes in the time-frequency plane. The proposed synchronization method is finally verified by measurements at

${79}\,\mathrm{GHz}$

with a system-on-chip, where the resulting correlation metric and mean square error are illustrated as validation factors.
Indonesia’s New Partial Multialignment Strategy: A Conceptual and Empirical Analysis
Authors: Wicaksana I Gede Wahyu , Yakti Probo Darono 
Published: February 2025

Abstract
The nature of Indonesia’s foreign policy has long been understood as non-aligned. It has been associated with the basic tenet of bebas aktif (being independent and active) and the evolving international relations of the state, which demonstrated continuity in its non-side-taking position in the Cold War. However, recently, new trends in Indonesia’s regional and global conduct have emerged, including the diversification of multilateral engagements beyond ASEAN, the strengthening of various forms of strategic partnerships with major Indo-Pacific powers, and the adoption of normative hedging policies in response to sensitive international issues. What explains these developments? The conception of Indonesian foreign policy as being defined by non-alignment is no longer appropriate. This article argues that Indonesia now employs a partial multi-alignment strategy. Nevertheless, limited national power and persistent threat perceptions prevent the state from pursuing a fully multi-aligned strategy.
Global potential of sustainable single-cell protein based on variable renewable electricity
Authors: Fasihi Mahdi , Jouzi Fatemeh , Tervasmäki Petri , Vainikka Pasi , Breyer Christian 
Published: February 2025

Abstract
The environmental impacts of the food system exceed several planetary boundaries, with protein production being a major contributor. Single-Cell Protein (SCP) is a protein-rich microbial biomass that offers a sustainable alternative when derived from renewable energy and sustainable feedstocks. We evaluate the global potential for SCP production utilising electrolytic hydrogen and oxygen, atmospheric carbon dioxide and nitrogen, and hourly-optimised hybrid PV-wind power plants at a 0.45° × 0.45° spatial resolution. We outline a roadmap for industrial-scale production, commencing in 2028, targeting an annual capacity of 30 million tonnes of protein by 2050. Here we show that the cost of renewable electricity-based protein (e-protein) could decline at optimal sites from 5.5–6.1 € kg−1 in 2028 to 4.0–4.5 € kg−1 by 2030, and further to 2.1–2.3 € kg−1 by 2050. Consequently, e-protein production can mostly decouple protein supply from water and arable land constraints, substantially mitigating the environmental impacts of food production.
Cryo-EM structures of the BAF-Lamin A/C complex bound to nucleosomes
Authors: Horikoshi Naoki , Miyake Ryosuke , Sogawa-Fujiwara Chizuru , Ogasawara Mitsuo , Takizawa Yoshimasa , Kurumizaka Hitoshi 
Published: February 2025

Abstract
Barrier-to-autointegration factor (BAF) associates with mitotic chromosomes and promotes nuclear envelope assembly by recruiting proteins, such as Lamins, required for the reconstruction of the nuclear envelope and lamina. BAF also mediates chromatin anchoring to the nuclear lamina via Lamin A/C. However, the mechanism by which BAF and Lamin A/C bind chromatin and affect the chromatin organization remains elusive. Here we report the cryo-electron microscopy structures of BAF-Lamin A/C-nucleosome complexes. We find that the BAF dimer complexed with the Lamin A/C IgF domain occupies the nucleosomal dyad position, forming a tripartite nucleosomal DNA binding structure. We also show that the Lamin A/C Lys486 and His506 residues, which are reportedly mutated in lipodystrophy patients, directly contact the DNA at the nucleosomal dyad. Excess BAF-Lamin A/C complexes symmetrically bind other nucleosomal DNA sites and connect two BAF-Lamin A/C-nucleosome complexes. Although the linker histone H1 competes with BAF-Lamin A/C binding at the nucleosomal dyad region, the two BAF-Lamin A/C molecules still bridge two nucleosomes. These findings provide insights into the mechanism by which BAF, Lamin A/C, and/or histone H1 bind nucleosomes and influence chromatin organization within the nucleus.
Multidimensional terahertz probes of quantum materials
Authors: Liu Albert 
Published: February 2025

Abstract
Multidimensional spectroscopy has a long history originating from nuclear magnetic resonance, and has now found widespread application at infrared and optical frequencies as well. However, the energy scales of traditional multidimensional probes have been ill-suited for studying quantum materials. Recent technological advancements have now enabled extension of these multidimensional techniques to the terahertz frequency range, in which collective excitations of quantum materials are typically found. This Perspective introduces the technique of two-dimensional terahertz spectroscopy (2DTS) and the unique physics of quantum materials revealed by 2DTS spectra, accompanied by a selection of the rapidly expanding experimental and theoretical literature. While 2DTS has so far been primarily applied to quantum materials at equilibrium, we provide an outlook for its application towards understanding their dynamical non-equilibrium states and beyond.
Gut microbiota-derived hexa-acylated lipopolysaccharides enhance cancer immunotherapy responses
Authors: Sardar Puspendu , Beresford-Jones Benjamin S. , Xia Wangmingyu , Shabana Omar , Suyama Satoshi , Ramos Ruben J. F. , Soderholm Amelia T. , Tourlomousis Panagiotis , Kuo Paula , Evans Alexander C. , Imianowski Charlotte J. , Conti Alberto G. , Wesolowski Alexander J. , Baker Natalie M. , McCord Emily A. L. , Okkenhaug Klaus , Whiteside Sarah K. , Roychoudhuri Rahul , Bryant Clare E. , Cross Justin R. , Pedicord Virginia A. 
Published: February 2025

Abstract
The gut microbiome modulates immunotherapy treatment responses, and this may explain why immune checkpoint inhibitors, such as anti-PD-1, are only effective in some patients. Previous studies correlated lipopolysaccharide (LPS)-producing gut microbes with poorer prognosis; however, LPS from diverse bacterial species can range from immunostimulatory to inhibitory. Here, by functionally analysing faecal metagenomes from 112 patients with melanoma, we found that a subset of LPS-producing bacteria encoding immunostimulatory hexa-acylated LPS was enriched in microbiomes of clinical responders. In an implanted tumour mouse model of anti-PD-1 treatment, microbiota-derived hexa-acylated LPS was required for effective anti-tumour immune responses, and LPS-binding antibiotics and a small-molecule TLR4 antagonist abolished anti-PD-1 efficacy. Conversely, oral administration of hexa-acylated LPS to mice significantly augmented anti-PD-1-mediated anti-tumour immunity. Penta-acylated LPS did not improve anti-PD-1 efficacy in vivo and inhibited hexa-acylated LPS-induced immune activation in vitro. Microbiome hexa-acylated LPS therefore represents an accessible predictor and potential enhancer of immunotherapy responses.
Effect of broccoli sprout extract and baseline gut microbiota on fasting blood glucose in prediabetes: a randomized, placebo-controlled trial
Authors: Dwibedi Chinmay , Axelsson Annika S. , Abrahamsson Birgitta , Fahey Jed W. , Asplund Olof , Hansson Ola , Ahlqvist Emma , Tremaroli Valentina , Bäckhed Fredrik , Rosengren Anders H. 
Published: February 2025

Abstract
More effective treatments are needed for impaired fasting glucose or glucose intolerance, known as prediabetes. Sulforaphane is an isothiocyanate that reduces hepatic gluconeogenesis in individuals with type 2 diabetes and is well tolerated when provided as a broccoli sprout extract (BSE). Here we report a randomized, double-blind, placebo-controlled trial in which drug-naive individuals with prediabetes were treated with BSE (n = 35) or placebo (n = 39) once daily for 12 weeks. The primary outcome was a 0.3 mmol l−1 reduction in fasting blood glucose compared with placebo from baseline to week 12. Gastro-intestinal side effects but no severe adverse events were observed in response to treatment. BSE did not meet the prespecified primary outcome, and the overall effect in individuals with prediabetes was a 0.2 mmol l−1 reduction in fasting blood glucose (95% confidence interval −0.44 to −0.01; P = 0.04). Exploratory analyses to identify subgroups revealed that individuals with mild obesity, low insulin resistance and reduced insulin secretion had a pronounced response (0.4 mmol l−1 reduction) and were consequently referred to as responders. Gut microbiota analysis further revealed an association between baseline gut microbiota and pathophysiology and that responders had a different gut microbiota composition. Genomic analyses confirmed that responders had a higher abundance of a Bacteroides-encoded transcriptional regulator required for the conversion of the inactive precursor to bioactive sulforaphane. The abundance of this gene operon correlated with sulforaphane serum concentration. These findings suggest a combined influence of host pathophysiology and gut microbiota on metabolic treatment response, and exploratory analyses need to be confirmed in future trials. ClinicalTrials.gov registration: NCT03763240.
Latent circuit inference from heterogeneous neural responses during cognitive tasks
Authors: Langdon Christopher , Engel Tatiana A. 
Published: February 2025

Abstract
Higher cortical areas carry a wide range of sensory, cognitive and motor signals mixed in heterogeneous responses of single neurons tuned to multiple task variables. Dimensionality reduction methods that rely on correlations between neural activity and task variables leave unknown how heterogeneous responses arise from connectivity to drive behavior. We develop the latent circuit model, a dimensionality reduction approach in which task variables interact via low-dimensional recurrent connectivity to produce behavioral output. We apply the latent circuit inference to recurrent neural networks trained to perform a context-dependent decision-making task and find a suppression mechanism in which contextual representations inhibit irrelevant sensory responses. We validate this mechanism by confirming the behavioral effects of patterned connectivity perturbations predicted by the latent circuit model. We find similar suppression of irrelevant sensory responses in the prefrontal cortex of monkeys performing the same task. We show that incorporating causal interactions among task variables is critical for identifying behaviorally relevant computations from neural response data.
Uncovering protein glycosylation dynamics and heterogeneity using deep quantitative glycoprofiling (DQGlyco)
Authors: Potel Clément M. , Burtscher Mira Lea , Garrido-Rodriguez Martin , Brauer-Nikonow Amber , Becher Isabelle , Le Sueur Cecile , Typas Athanasios , Zimmermann Michael , Savitski Mikhail M. 
Published: February 2025

Abstract
Protein glycosylation regulates essential cellular processes such as signaling, adhesion and cell–cell interactions; however, dysregulated glycosylation is associated with diseases such as cancer. Here we introduce deep quantitative glycoprofiling (DQGlyco), a robust method that integrates high-throughput sample preparation, highly sensitive detection and precise multiplexed quantification to investigate protein glycosylation dynamics at an unprecedented depth. Using DQGlyco, we profiled the mouse brain glycoproteome, identifying 177,198 unique N-glycopeptides—25 times more than previous studies. We quantified glycopeptide changes in human cells treated with a fucosylation inhibitor and characterized surface-exposed glycoforms. Furthermore, we analyzed tissue-specific glycosylation patterns in mice and demonstrated that a defined gut microbiota substantially remodels the mouse brain glycoproteome, shedding light on the link between the gut microbiome and brain protein functions. Additionally, we developed a novel strategy to evaluate glycoform solubility, offering new insights into their biophysical properties. Overall, the in-depth profiling offered by DQGlyco uncovered extensive complexity in glycosylation regulation.
Investigation on morphological and molecular fingerprints of penguin brain using label-free optical imaging and spectroscopic techniques
Authors: Bhatt Sunil , Verma Ashwani Kumar , Dastidar Prabir G. , Kumar Punit , Thapa Pramila , Jacob Tony George , Roy Tara Sankar , Iyengar Soumya , Kumaran Senthil , Ahluwalia Balpreet Singh , Mehta Dalip Singh 
Published: February 2025

Abstract
The morphology and molecular study of the penguin brain are crucial to define its survival in the extreme conditions of Antarctica. The present study focusses on extracting different optical parameters of the penguin brain using label-free optical imaging and spectroscopic techniques. In label-free optical imaging, we have used quantitative phase imaging, which provides morphological information about the neurons in brain tissue, giving the quantitative phase value of 5 to 20 radians corresponding to the 8 µm tissue section. In label-free spectroscopic techniques, we have used autofluorescence and Raman spectroscopy. Autofluorescence spectroscopy provides molecular information about nicotinamide dinucleotide, flavins, lipofuscins, and porphyrins in the brain’s spectral range of 420 nm to 700 nm. Raman spectroscopy provides multiple peaks associated with different molecules in the brain; among them, few signals are observed at approximately 1305 cm−1, 1448 cm−1, and 1661 cm−1, which correspond to vibrational modes indicative of vibrational features within lipids and protein structures, as well as the presence of amide groups within brain tissue constituents. All these techniques provide the microscopic and molecular fingerprint of the penguin brain, which can be useful for understanding penguin’s anatomical, physiological, and social behavior.