bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mott insulators with boundary zeros
Authors: Wagner N. , Crippa L. , Amaricci A. , Hansmann P. , Klett M. , König E. J. , Schäfer T. , Sante D. Di , Cano J. , Millis A. J. , Georges A. , Sangiovanni G. 
Published: November 2023

AbstractThe topological classification of electronic band structures is based on symmetry properties of Bloch eigenstates of single-particle Hamiltonians. In parallel, topological field theory has opened the doors to the formulation and characterization of non-trivial phases of matter driven by strong electron-electron interaction. Even though important examples of topological Mott insulators have been constructed, the relevance of the underlying non-interacting band topology to the physics of the Mott phase has remained unexplored. Here, we show that the momentum structure of the Green’s function zeros defining the “Luttinger surface" provides a topological characterization of the Mott phase related, in the simplest description, to the one of the single-particle electronic dispersion. Considerations on the zeros lead to the prediction of new phenomena: a topological Mott insulator with an inverted gap for the bulk zeros must possess gapless zeros at the boundary, which behave as a form of “topological antimatter” annihilating conventional edge states. Placing band and Mott topological insulators in contact produces distinctive observable signatures at the interface, revealing the otherwise spectroscopically elusive Green’s function zeros.
Self-carbon-thermal-reduction strategy for boosting the Fenton-like activity of single Fe-N4 sites by carbon-defect engineering
Authors: Wei Shengjie , Sun Yibing , Qiu Yun-Ze , Li Ang , Chiang Ching-Yu , Xiao Hai , Qian Jieshu , Li Yadong 
Published: November 2023

AbstractCarbon-defect engineering in metal single-atom catalysts by simple and robust strategy, boosting their catalytic activity, and revealing the carbon defect-catalytic activity relationship are meaningful but challenging. Herein, we report a facile self-carbon-thermal-reduction strategy for carbon-defect engineering of single Fe-N4 sites in ZnO-Carbon nano-reactor, as efficient catalyst in Fenton-like reaction for degradation of phenol. The carbon vacancies are easily constructed adjacent to single Fe-N4 sites during synthesis, facilitating the formation of C-O bonding and lowering the energy barrier of rate-determining-step during degradation of phenol. Consequently, the catalyst Fe-NCv-900 with carbon vacancies exhibits a much improved activity than the Fe-NC-900 without abundant carbon vacancies, with 13.5 times improvement in the first-order rate constant of phenol degradation. The Fe-NCv-900 shows high activity (97% removal ratio of phenol in only 5 min), good recyclability and the wide-ranging pH universality (pH range 3-9). This work not only provides a rational strategy for improving the Fenton-like activity of metal single-atom catalysts, but also deepens the fundamental understanding on how periphery carbon environment affects the property and performance of metal-N4 sites.
Mobilization of endocannabinoids by midbrain dopamine neurons is required for the encoding of reward prediction
Authors: Luján Miguel Á. , Covey Dan P. , Young-Morrison Reana , Zhang LanYuan , Kim Andrew , Morgado Fiorella , Patel Sachin , Bass Caroline E. , Paladini Carlos , Cheer Joseph F. 
Published: November 2023

AbstractBrain levels of the endocannabinoid 2-arachidonoylglycerol (2-AG) shape motivated behavior and nucleus accumbens (NAc) dopamine release. However, it is not clear whether mobilization of 2-AG specifically from midbrain dopamine neurons is necessary for dopaminergic responses to external stimuli predicting forthcoming reward. Here, we use a viral-genetic strategy to prevent the expression of the 2-AG-synthesizing enzyme diacylglycerol lipase α (DGLα) from ventral tegmental area (VTA) dopamine cells in adult mice. We find that DGLα deletion from VTA dopamine neurons prevents depolarization-induced suppression of excitation (DSE), a form of 2-AG-mediated synaptic plasticity, in dopamine neurons. DGLα deletion also decreases effortful, cue-driven reward-seeking but has no effect on non-cued or low-effort operant tasks and other behaviors. Moreover, dopamine recording in the NAc reveals that deletion of DGLα impairs the transfer of accumbal dopamine signaling from a reward to its earliest predictors. These results demonstrate that 2-AG mobilization from VTA dopamine neurons is a necessary step for the generation of dopamine-based predictive associations that are required to direct and energize reward-oriented behavior.
Dopamine receptor activation regulates reward expectancy signals during cognitive control in primate prefrontal neurons
Authors: Ott Torben , Stein Anna Marlina , Nieder Andreas 
Published: November 2023

AbstractDopamine neurons respond to reward-predicting cues but also modulate information processing in the prefrontal cortex essential for cognitive control. Whether dopamine controls reward expectation signals in prefrontal cortex that motivate cognitive control is unknown. We trained two male macaques on a working memory task while varying the reward size earned for successful task completion. We recorded neurons in lateral prefrontal cortex while simultaneously stimulating dopamine D1 receptor (D1R) or D2 receptor (D2R) families using micro-iontophoresis. We show that many neurons predict reward size throughout the trial. D1R stimulation showed mixed effects following reward cues but decreased reward expectancy coding during the memory delay. By contrast, D2R stimulation increased reward expectancy coding in multiple task periods, including cueing and memory periods. Stimulation of either dopamine receptors increased the neurons’ selective responses to reward size upon reward delivery. The differential modulation of reward expectancy by dopamine receptors suggests that dopamine regulates reward expectancy necessary for successful cognitive control.
Bidirectional light-emitting diode as a visible light source driven by alternating current
Authors: Żak Mikołaj , Muziol Grzegorz , Siekacz Marcin , Bercha Artem , Hajdel Mateusz , Nowakowski-Szkudlarek Krzesimir , Lachowski Artur , Chlipała Mikołaj , Wolny Paweł , Turski Henryk , Skierbiszewski Czesław 
Published: November 2023

AbstractGallium nitride-based light-emitting diodes have revolutionized the lighting market by becoming the most energy-efficient light sources. However, the power grid, in example electricity delivery system, is built based on alternating current, which raises problems for directly driving light emitting diodes that require direct current to operate effectively. In this paper, we demonstrate a proof-of-concept device that addresses this fundamental issue – a gallium nitride-based bidirectional light-emitting diode. Its structure is symmetrical with respect to the active region, which, depending on the positive or negative bias, allows for the injection of either electrons or holes from each side. It is composed of two tunnel junctions that surround the active region. In this work, the optical and electrical properties of bidirectional light emitting diodes are investigated under direct and alternating current conditions. We find that the light is emitted in both directions of the supplied current, contrary to conventional light emitting diodes; hence, bidirectional light-emitting diodes can be considered a semiconductor light source powered directly with alternating current. In addition, we show that bidirectional light-emitting diodes can be stacked vertically to multiply the optical power achieved from a single device.
Direct comparison of spatial transcriptional heterogeneity across diverse Bacillus subtilis biofilm communities
Authors: Dergham Yasmine , Le Coq Dominique , Nicolas Pierre , Bidnenko Elena , Dérozier Sandra , Deforet Maxime , Huillet Eugénie , Sanchez-Vizuete Pilar , Deschamps Julien , Hamze Kassem , Briandet Romain 
Published: November 2023

AbstractBacillus subtilis can form various types of spatially organised communities on surfaces, such as colonies, pellicles and submerged biofilms. These communities share similarities and differences, and phenotypic heterogeneity has been reported for each type of community. Here, we studied spatial transcriptional heterogeneity across the three types of surface-associated communities. Using RNA-seq analysis of different regions or populations for each community type, we identified genes that are specifically expressed within each selected population. We constructed fluorescent transcriptional fusions for 17 of these genes, and observed their expression in submerged biofilms using time-lapse confocal laser scanning microscopy (CLSM). We found mosaic expression patterns for some genes; in particular, we observed spatially segregated cells displaying opposite regulation of carbon metabolism genes (gapA and gapB), indicative of distinct glycolytic or gluconeogenic regimes coexisting in the same biofilm region. Overall, our study provides a direct comparison of spatial transcriptional heterogeneity, at different scales, for the three main models of B. subtilis surface-associated communities.
Climate warming and elevated CO2 alter peatland soil carbon sources and stability
Authors: Ofiti Nicholas O. E. , Schmidt Michael W. I. , Abiven Samuel , Hanson Paul J. , Iversen Colleen M. , Wilson Rachel M. , Kostka Joel E. , Wiesenberg Guido L. B. , Malhotra Avni 
Published: November 2023

AbstractPeatlands are an important carbon (C) reservoir storing one-third of global soil organic carbon (SOC), but little is known about the fate of these C stocks under climate change. Here, we examine the impact of warming and elevated atmospheric CO2 concentration (eCO2) on the molecular composition of SOC to infer SOC sources (microbe-, plant- and fire-derived) and stability in a boreal peatland. We show that while warming alone decreased plant- and microbe-derived SOC due to enhanced decomposition, warming combined with eCO2 increased plant-derived SOC compounds. We further observed increasing root-derived inputs (suberin) and declining leaf/needle-derived inputs (cutin) into SOC under warming and eCO2. The decline in SOC compounds with warming and gains from new root-derived C under eCO2, suggest that warming and eCO2 may shift peatland C budget towards pools with faster turnover. Together, our results indicate that climate change may increase inputs and enhance decomposition of SOC potentially destabilising C storage in peatlands.
Populational pan-ethnic screening panel enabled by deep whole genome sequencing
Authors: Yang Linfeng , Lin Zhe , Gao Yong , Zhang Jianguo , Peng Huanhuan , Li Yaqing , Che Jingang , Zhao Lijian , Zhang Jilin 
Published: November 2023

AbstractBirth defect is a global threat to the public health systems. Mitigating neonatal anomalies is hampered by elusive molecular mechanisms of pathogenic mutations and poor subsequent translation into preventative measures. Applying appropriate strategies in China to promote reproductive health is particularly challenging, as the Chinese population compromises complex genomic diversity due to the inclusion of many ethnic groups with distinct genetic backgrounds. To investigate and evaluate the feasibility of implementing a pan-ethnic screening strategy, and guide future reproductive counselling, high-quality variants associated with autosome recessive (AR) diseases derived from the largest publicly available cohort of the Chinese population were re-analysed using a bottom-up approach. The analyses of gene carrier rates (GCRs) across distinct ethnic groups revealed that substantial heterogeneity existed potentially due to diverse evolutionary selection. The sampling population, sequencing coverage and underlying population structure contributed to the differential variants observed between ChinaMAP and the East Asian group in gnomAD. Beyond characteristics of GCR, potential druggable targets were additionally explored according to genomic features and functional roles of investigated genes, demonstrating that phase separation could be a therapeutic target for autosomal recessive diseases. A further examination of estimated GCR across ethnic groups indicated that most genes shared by at least two populations could be utilised to direct the design of a pan-ethnic screening application once sequencing and interpreting costs become negligible. To this end, a list of autosomal recessive disease genes is proposed based on the prioritised rank of GCR to formulate a tiered screening strategy.
Monovalent vaccination with inactivated SARS-CoV-2 BA.5 protects hamsters against Omicron but not non-Omicron variants
Authors: Ong Chon Phin , Tang Kaiming , Cheung Pak-Hin Hinson , Zhang Hongzhuo , Tang Tze-Tung , Xue Yaqian , Wang Junjue , To Kelvin Kai-Wang , Yuan Shuofeng , Ye Zi-Wei , Jin Dong-Yan 
Published: November 2023

AbstractWe compared the protective effects of inactivated SARS-CoV-2 vaccines derived from the ancestral and the currently circulating BA.5.2 strains against infection with multiple variants in Syrian golden hamsters. Vaccination with BA.5.2 effectively protected against infection with the Omicron subvariants including XBB.1, but not the Alpha or Delta variant. In contrast, hamsters vaccinated with the ancestral strain demonstrated decent neutralization activity against both the Omicron and non-Omicron variants. Our findings might instruct future design and formulation of SARS-CoV-2 vaccines.
Cumulative environmental quality is associated with breast cancer incidence differentially by summary stage and urbanicity
Authors: Gearhart-Serna Larisa M. , Mills Brittany A. , Hsu Hillary , Fayanju Oluwadamilola M. , Hoffman Kate , Devi Gayathri R. 
Published: November 2023

AbstractIndividual environmental contaminants have been associated with breast cancer; however, evaluations of multiple exposures simultaneously are limited. Herein, we evaluated associations between breast cancer summary stages and the Environmental Quality Index (EQI), which includes a range of environmental factors across five domains. The EQI (2000–2005) was linked to county-level age-standardized incidence rates (SIRs) obtained from the North Carolina Central Cancer Registry (2010–2014). Incidence rates and SIRs of total, in situ, localized, regional, and distant breast cancers were evaluated stratified by rural–urban status. In counties with poor environmental quality compared to those with good environmental quality, total breast cancer incidence was higher by 10.82 cases per 100,000 persons (95% CI 2.04, 19.60, p = 0.02). This association was most pronounced for localized breast cancer (β = 5.59, 95% CI 0.59, 10.58, p = 0.03). Higher incidence of early-stage disease (carcinoma in situ β = 5.25, 95% CI 2.34, 8.16, p = 0.00 and localized breast cancer β = 6.98, 95% CI 2.24, 11.73, p = 0.00) and total breast cancer (β = 11.44, 95% CI 3.01, 19.87, p = 0.01) occurred in counties with poor land quality, especially urban counties. Our analyses indicate significant associations between environmental quality and breast cancer incidence, which differ by breast cancer stage and urbanicity, identifying a critical need to assess cumulative environmental exposures in the context of cancer stage.
Self-supervised pre-training with contrastive and masked autoencoder methods for dealing with small datasets in deep learning for medical imaging
Authors: Wolf Daniel , Payer Tristan , Lisson Catharina Silvia , Lisson Christoph Gerhard , Beer Meinrad , Götz Michael , Ropinski Timo 
Published: November 2023

AbstractDeep learning in medical imaging has the potential to minimize the risk of diagnostic errors, reduce radiologist workload, and accelerate diagnosis. Training such deep learning models requires large and accurate datasets, with annotations for all training samples. However, in the medical imaging domain, annotated datasets for specific tasks are often small due to the high complexity of annotations, limited access, or the rarity of diseases. To address this challenge, deep learning models can be pre-trained on large image datasets without annotations using methods from the field of self-supervised learning. After pre-training, small annotated datasets are sufficient to fine-tune the models for a specific task. The most popular self-supervised pre-training approaches in medical imaging are based on contrastive learning. However, recent studies in natural image processing indicate a strong potential for masked autoencoder approaches. Our work compares state-of-the-art contrastive learning methods with the recently introduced masked autoencoder approach “SparK” for convolutional neural networks (CNNs) on medical images. Therefore, we pre-train on a large unannotated CT image dataset and fine-tune on several CT classification tasks. Due to the challenge of obtaining sufficient annotated training data in medical imaging, it is of particular interest to evaluate how the self-supervised pre-training methods perform when fine-tuning on small datasets. By experimenting with gradually reducing the training dataset size for fine-tuning, we find that the reduction has different effects depending on the type of pre-training chosen. The SparK pre-training method is more robust to the training dataset size than the contrastive methods. Based on our results, we propose the SparK pre-training for medical imaging tasks with only small annotated datasets.
The impact of COVID-19 pandemic on the indications of non-COVID-19 obstetric and gynecological admissions to the intensive care unit (ICU) and its overall consequences
Authors: Baltali Sevim , Firat Aysun 
Published: November 2023

AbstractSince COVID-19 outbreak caused a substantial reduction in intensive care unit (ICU) bed capacity, a significant change in triaging ICU admissions has become necessary for obstetric and gynecologic (OG) patients, as well. In the present study, we aimed to analyze the patients admitted to ICU for non-COVID-19 OG pathologies to understand the probable effects of the pandemic on demographics, admission rates and indications, complications, and the overall outcome. Medical records of patients who were admitted to ICU for OG diseases between 2018 and 2022 were reviewed. This four-year time was divided into two equal periods; Group I (March 2018 to March 2020, before the pandemic starts) and Group II (March 2020 to March 2022, during pandemic). Demographics, indications for admissions to ICU, length of stay, acute physiology and chronic health evaluation II (APACHE-II) scores and the factors contributing to their morbidity and mortality were recorded. Chi-square Kolmogorov-Smirno and Shapiro–Wilk tests were used to compare the variables. p < 0.05 was considered statistically significant. 511 patients were in Group I (61.94%) and 314 in Group II (38.06%). Between 2020 and 2022, our ICU admitted 38.56% fewer OG inpatients, compared with the pre-pandemic period (p < 0.05). While number of patients with gynecological pathologies increased (50 vs 57%), obstetric patients’ admission to ICU decreased (49 vs 42%). In gynecologic patients, postoperative complications and sepsis showed a significant rise (57 vs 69% and 7 vs 12%, p < 0.05), and most were after oncological operations (81%). There was a significant rise in numbers of pregnancy-induced hypertension and placental pathologies (29 vs 36% and 41 vs 58%, p < 0.05). Outcome of obstetric patients in ICU was good (99% survival rate). Mortality was higher in gynecologic patients (4 vs 9%, p < 0.05), correlated with the increased APACHE-II score (8 vs 10, p < 0.05). Older age and oncologic operations were the primary factors increasing mortality. Length of stay in ICU prolonged in these patients, as well (1 vs 3 days, p < 0.05). Selection of priority patients by gynecologists and intensive care specialists in cooperation, and meticulous implementation of the rule of only accepting patients with strict indications may explain the change in OG admissions during the outbreak. These findings will question the accuracy of wider indications for ICU admissions in pre-pandemic period, and help in planning the policy for future post-pandemic days.
Antinociceptive effect of intermittent fasting via the orexin pathway on formalin-induced acute pain in mice
Authors: Shin Hyunjin , Kim Jaehyuk , Choi Sheu-Ran , Kang Dong-Wook , Moon Ji-Young , Roh Dae-Hyun , Bae Miok , Hwang Jungmo , Kim Hyun-Woo 
Published: November 2023

AbstractIt has been suggested that stress responses induced by fasting have analgesic effects on nociception by elevating the levels of stress-related hormones, while there is limited understanding of pain control mechanisms. Here, we investigated whether acute or intermittent fasting alleviates formalin-induced pain in mice and whether spinal orexin A (OXA) plays a role in this process. 6, 12, or 24 h acute fasting (AF) and 12 or 24 h intermittent fasting (IF) decreased the second phase of pain after intraplantar formalin administration. There was no difference in walking time in the rota-rod test and distance traveld in the open field test in all groups. Plasma corticosterone level and immobility time in the forced swim test were increased after 12 h AF, but not after 12 h IF. 12 h AF and IF increased not only the activation of OXA neurons in the lateral hypothalamus but also the expression of OXA in the lateral hypothalamus and spinal cord. Blockade of spinal orexin 1 receptor with SB334867 restored formalin-induced pain and spinal c-Fos immunoreactivity that were decreased after 12 h IF. These results suggest that 12 h IF produces antinociceptive effects on formalin-induced pain not by corticosterone elevation but by OXA-mediated pathway.
A multiplexed RT-PCR assay for nanopore whole genome sequencing of Tilapia lake virus (TiLV)
Authors: Delamare-Deboutteville Jérôme , Meemetta Watcharachai , Pimsannil Khaettareeya , Sangpo Pattiya , Gan Han Ming , Mohan Chadag Vishnumurthy , Dong Ha Thanh , Senapin Saengchan 
Published: November 2023

AbstractTilapia lake virus (TiLV) is a highly contagious viral pathogen that affects tilapia, a globally significant and affordable source of fish protein. To prevent the introduction and spread of TiLV and its impact, there is an urgent need for increased surveillance, improved biosecurity measures, and continuous development of effective diagnostic and rapid sequencing methods. In this study, we have developed a multiplexed RT-PCR assay that can amplify all ten complete genomic segments of TiLV from various sources of isolation. The amplicons generated using this approach were immediately subjected to real-time sequencing on the Nanopore system. By using this approach, we have recovered and assembled 10 TiLV genomes from total RNA extracted from naturally TiLV-infected tilapia fish, concentrated tilapia rearing water, and cell culture. Our phylogenetic analysis, consisting of more than 36 TiLV genomes from both newly sequenced and publicly available TiLV genomes, provides new insights into the high genetic diversity of TiLV. This work is an essential steppingstone towards integrating rapid and real-time Nanopore-based amplicon sequencing into routine genomic surveillance of TiLV, as well as future vaccine development.