bluuebunny/crossref_metadata_2025_split huggingface dataset:
Atlantic-origin water extension into the Pacific Arctic induced an anomalous biogeochemical event
Authors: Nishino Shigeto , Jung Jinyoung , Cho Kyoung-Ho , Williams William J. , Fujiwara Amane , Murata Akihiko , Itoh Motoyo , Watanabe Eiji , Aoyama Michio , Yamamoto-Kawai Michiyo , Kikuchi Takashi , Yang Eun Jin , Kang Sung-Ho 
Published: November 2023

AbstractThe Arctic Ocean is facing dramatic environmental and ecosystem changes. In this context, an international multiship survey project was undertaken in 2020 to obtain current baseline data. During the survey, unusually low dissolved oxygen and acidified water were found in a high-seas fishable area of the western (Pacific-side) Arctic Ocean. Herein, we show that the Beaufort Gyre shrinks to the east of an ocean ridge and forms a front between the water within the gyre and the water from the eastern (Atlantic-side) Arctic. That phenomenon triggers a frontal northward flow along the ocean ridge. This flow likely transports the low oxygen and acidified water toward the high-seas fishable area; similar biogeochemical properties had previously been observed only on the shelf-slope north of the East Siberian Sea.
In situ quantification of osmotic pressure within living embryonic tissues
Authors: Vian Antoine , Pochitaloff Marie , Yen Shuo-Ting , Kim Sangwoo , Pollock Jennifer , Liu Yucen , Sletten Ellen M. , Campàs Otger 
Published: November 2023

AbstractMechanics is known to play a fundamental role in many cellular and developmental processes. Beyond active forces and material properties, osmotic pressure is believed to control essential cell and tissue characteristics. However, it remains very challenging to perform in situ and in vivo measurements of osmotic pressure. Here we introduce double emulsion droplet sensors that enable local measurements of osmotic pressure intra- and extra-cellularly within 3D multicellular systems, including living tissues. After generating and calibrating the sensors, we measure the osmotic pressure in blastomeres of early zebrafish embryos as well as in the interstitial fluid between the cells of the blastula by monitoring the size of droplets previously inserted in the embryo. Our results show a balance between intracellular and interstitial osmotic pressures, with values of approximately 0.7 MPa, but a large pressure imbalance between the inside and outside of the embryo. The ability to measure osmotic pressure in 3D multicellular systems, including developing embryos and organoids, will help improve our understanding of its role in fundamental biological processes.
The lncRNA Sweetheart regulates compensatory cardiac hypertrophy after myocardial injury in murine males
Authors: Rogala Sandra , Ali Tamer , Melissari Maria-Theodora , Währisch Sandra , Schuster Peggy , Sarre Alexandre , Emídio Rebeca Cordellini , Boettger Thomas , Rogg Eva-Maria , Kaur Jaskiran , Krishnan Jaya , Dumbović Gabrijela , Dimmeler Stefanie , Ounzain Samir , Pedrazzini Thierry , Herrmann Bernhard G. , Grote Phillip 
Published: November 2023

AbstractAfter myocardial infarction in the adult heart the remaining, non-infarcted tissue adapts to compensate the loss of functional tissue. This adaptation requires changes in gene expression networks, which are mostly controlled by transcription regulating proteins. Long non-coding transcripts (lncRNAs) are taking part in fine-tuning such gene programs. We describe and characterize the cardiomyocyte specific lncRNA Sweetheart RNA (Swhtr), an approximately 10 kb long transcript divergently expressed from the cardiac core transcription factor coding gene Nkx2-5. We show that Swhtr is dispensable for normal heart development and function but becomes essential for the tissue adaptation process after myocardial infarction in murine males. Re-expressing Swhtr from an exogenous locus rescues the Swhtr null phenotype. Genes that depend on Swhtr after cardiac stress are significantly occupied and therefore most likely regulated by NKX2-5. The Swhtr transcript interacts with NKX2-5 and disperses upon hypoxic stress in cardiomyocytes, indicating an auxiliary role of Swhtr for NKX2-5 function in tissue adaptation after myocardial injury.
Striatum-projecting prefrontal cortex neurons support working memory maintenance
Authors: Wilhelm Maria , Sych Yaroslav , Fomins Aleksejs , Alatorre Warren José Luis , Lewis Christopher , Serratosa Capdevila Laia , Boehringer Roman , Amadei Elizabeth A. , Grewe Benjamin , O’Connor Eoin C. , Hall Benjamin J. , Helmchen Fritjof 
Published: November 2023

AbstractNeurons in the medial prefrontal cortex (mPFC) are functionally linked to working memory (WM) but how distinct projection pathways contribute to WM remains unclear. Based on optical recordings, optogenetic perturbations, and pharmacological interventions in male mice, we report here that dorsomedial striatum (dmStr)-projecting mPFC neurons are essential for WM maintenance, but not encoding or retrieval, in a T-maze spatial memory task. Fiber photometry of GCaMP6m-labeled mPFC→dmStr neurons revealed strongest activity during the maintenance period, and optogenetic inhibition of these neurons impaired performance only when applied during this period. Conversely, enhancing mPFC→dmStr pathway activity—via pharmacological suppression of HCN1 or by optogenetic activation during the maintenance period—alleviated WM impairment induced by NMDA receptor blockade. Moreover, cellular-resolution miniscope imaging revealed that >50% of mPFC→dmStr neurons are active during WM maintenance and that this subpopulation is distinct from neurons active during encoding and retrieval. In all task periods, neuronal sequences were evident. Striatum-projecting mPFC neurons thus critically contribute to spatial WM maintenance.
Engineering a scalable and orthogonal platform for synthetic communication in mammalian cells
Authors: Makri Pistikou Anna-Maria , Cremers Glenn A. O. , Nathalia Bryan L. , Meuleman Theodorus J. , Bögels Bas W. A. , Eijkens Bruno V. , de Dreu Anne , Bezembinder Maarten T. H. , Stassen Oscar M. J. A. , Bouten Carlijn C. V. , Merkx Maarten , Jerala Roman , de Greef Tom F. A. 
Published: November 2023

AbstractThe rational design and implementation of synthetic mammalian communication systems can unravel fundamental design principles of cell communication circuits and offer a framework for engineering of designer cell consortia with potential applications in cell therapeutics. Here, we develop the foundations of an orthogonal, and scalable mammalian synthetic communication platform that exploits the programmability of synthetic receptors and selective affinity and tunability of diffusing coiled-coil peptides. Leveraging the ability of coiled-coils to exclusively bind to a cognate receptor, we demonstrate orthogonal receptor activation and Boolean logic operations at the receptor level. We show intercellular communication based on synthetic receptors and secreted multidomain coiled-coils and demonstrate a three-cell population system that can perform AND gate logic. Finally, we show CC-GEMS receptor-dependent therapeutic protein expression. Our work provides a modular and scalable framework for the engineering of complex cell consortia, with the potential to expand the aptitude of cell therapeutics and diagnostics.
An invertible, invariant crystal representation for inverse design of solid-state materials using generative deep learning
Authors: Xiao Hang , Li Rong , Shi Xiaoyang , Chen Yan , Zhu Liangliang , Chen Xi , Wang Lei 
Published: November 2023

AbstractThe past decade has witnessed rapid progress in deep learning for molecular design, owing to the availability of invertible and invariant representations for molecules such as simplified molecular-input line-entry system (SMILES), which has powered cheminformatics since the late 1980s. However, the design of elemental components and their structural arrangement in solid-state materials to achieve certain desired properties is still a long-standing challenge in physics, chemistry and biology. This is primarily due to, unlike molecular inverse design, the lack of an invertible crystal representation that satisfies translational, rotational, and permutational invariances. To address this issue, we have developed a simplified line-input crystal-encoding system (SLICES), which is a string-based crystal representation that satisfies both invertibility and invariances. The reconstruction routine of SLICES successfully reconstructed 94.95% of over 40,000 structurally and chemically diverse crystal structures, showcasing an unprecedented invertibility. Furthermore, by only encoding compositional and topological data, SLICES guarantees invariances. We demonstrate the application of SLICES in the inverse design of direct narrow-gap semiconductors for optoelectronic applications. As a string-based, invertible, and invariant crystal representation, SLICES shows promise as a useful tool for in silico materials discovery.
Threefold coordinated germanium in a GeO2 melt
Authors: Wan Songming , Zhang Shujie , Li Bin , Zhang Xue , Gong Xiaoye , You Jinglin 
Published: November 2023

AbstractThe local structure around germanium is a fundamental issue in material science and geochemistry. In the prevailing viewpoint, germanium in GeO2 melt is coordinated by at least four oxygen atoms. However, the viewpoint has been debated for decades due to several unexplained bands present in the GeO2 melt Raman spectra. Using in situ Raman spectroscopy and density functional theory (DFT) computation, we have found a [GeOØ2]n (Ø = bridging oxygen) chain structure in a GeO2 melt. In this structure, the germanium atom is coordinated by three oxygen atoms and interacts weakly with two neighbouring non-bridging oxygen atoms. The bonding nature of the chain has been analyzed on the basis of the computational electronic structure. The results may settle down the longstanding debate on the GeO2 melt structure and modify our view on germanate chemistry.
Abuse liability of two electronic nicotine delivery systems compared with combustible cigarettes and nicotine gum from an open-label randomized crossover study
Authors: Campbell Chris , Jin Tao , Round Elaine K. , Nelson Paul R. , Baxter Sarah 
Published: November 2023

AbstractAn assessment of the likelihood of use and abuse potential for new tobacco products is an important part of tobacco product regulation in the United States and abroad. This paper reports the results of a randomized, open-label, crossover clinical study that assessed factors related to product adoption and abuse liability (AL), comparing two closed electronic nicotine delivery system (ENDS) products to combustible cigarettes and nicotine gum, high- and low-AL comparator products, respectively. During an 11-day confinement period that included multiple product familiarization sessions, healthy adult smokers participated in AL test sessions to evaluate the abuse liability of each product. During these test sessions, changes in subjective measures; speed and amount of nicotine uptake; and maximum changes in physiological effects before, during, and after use of each assigned product were assessed over 4 h. Positive subjective effects measures scores such as product-liking and overall intent to use again were highest for cigarettes, followed by the Vuse ENDS, with nicotine gum consistently having the lowest scores. The PK results (Cmax and Tmax) of the Vuse ENDS products are between UB cigarettes and nicotine gum, which correlates with the subjective effects. All nicotine uptake measures for the Vuse ENDS products were lower than that of usual brand (UB) cigarettes, including peak nicotine uptake and overall nicotine uptake, and were either similar to or lower than nicotine gum. The time course of nicotine uptake after use of the ENDS was more similar to that of combustible cigarettes than nicotine gum. The results indicate that the AL of each ENDS product is lower than that of UB cigarettes and similar to that of nicotine gum.
Knowledge distillation of multi-scale dense prediction transformer for self-supervised depth estimation
Authors: Song Jimin , Lee Sang Jun 
Published: November 2023

AbstractDepth estimation is an inverse projection problem that estimates pixel-level distances from a single image. Although, supervised methods have shown promising results, it has intrinsic limitations in requiring ground truth depth from an external sensor. On the other hand, self-supervised depth estimation relieves the burden for collecting calibrated training data, while there is still a large performance gap between supervised and self-supervised methods. The objective of this study is to reduce the performance gap between the supervised and self-supervised approaches. The loss function of previous self-supervised methods is mainly based on a photometric error, which is indirectly computed from synthesized images using depth and pose estimates. In this paper, we argue that direct depth cue is more effective to train a depth estimation network. To obtain the direct depth cue, we employed a knowledge distillation technique, which is a teacher-student learning framework. The teacher network was trained in a self-supervised manner based on a photometric error, and its predictions were utilized to train a student network. We constructed a multi-scale dense prediction transformer with Monte Carlo dropout, and multi-scale distillation loss was proposed to train the student network based on the ensemble of stochastic estimates. Experiments were conducted on the KITTI and Make3D datasets, and our proposed method achieved the state-of-the-art accuracy in self-supervised depth estimation. Our code is publicly available athttps://github.com/ji-min-song/KD-of-MS-DPT.
Characterization of net-zero pozzolanic potential of thermally-derived metakaolin samples for sustainable carbon neutrality construction
Authors: Onyelowe K. C. , Naghizadeh A. , Aneke F. I. , Kontoni D.-P. N. , Onyia M. E. , Welman-Purchase M. , Ebid A. M. , Adah E. I. , Stephen Liberty U. 
Published: November 2023

AbstractMetakaolin (MK) is one of the most sustainable cementitious construction materials, which is derived through a direct heating procedure known as calcination. Calcination process takes place substantially lower temperatures than that required for Portland cement, making it a more environmentally sustainable alternative to traditional cement. This procedure causes the removal of hydroxyl water from the naturally occurring kaolin clay (Al2Si2O5(OH)4 with MK (Al2O3·2SiO2) as its product. Kaolin naturally exists in large amount within 5°29′N–5°35′N and 7°21′E–7°3′E geographical coordinates surrounding Umuoke, Obowo, Nigeria. Alumina and silica are the predominant compounds in MK, which provide it with the pozzolanic ability, known as the 3-chemical pozzolanic potential (3CPP), with high potential as a cementitious material in concrete production and soil stabilization. Over the years, researchers have suggested the best temperature at which MK is derived to have the highest pozzolanic ability. Prominent among these temperature suggestions were 800 °C (3CPP of 94.45%) and 750 °C (3CPP of 94.76%) for 2 h and 5 h’ calcination periods, respectively. In this research paper, 11 different specimens of Kaolin clay obtained from Umuoke, Nigeria, were subjected to a calcination process at oven temperatures from 350 to 850 °C in an increment of 50 °C for 1 h each to derive 11 samples of MK. The MK samples and Kaolin were further subjected to X-ray fluorescence), scanning electron microscopy (SEM) and X-ray diffraction (XRD) Brunauer–Emmett–Teller (BET) tests to determine the microstructural behaviour and the pozzolanic properties via the 3CPP as to exploit the best MK with the highest cementing potential as a construction material. The results show that the MK heated at 550 °C and 800 °C produced the highest pozzolanic potentials of 96.26% and 96.28%, respectively. The enhancement in pozzolanic potential at optimum calcination temperature is attributed to an increase in the specific surface area upon calcination of kaolinite confirmed by BET results. The SEM and XRD results further supported the above result with the strengthened crystal structure of the MK at these preferred temperatures. Generally, 550 °C is more preferred due to the less heat energy needed for its formulation during 1 h of calcination, which outperforms the previous results, that suggested 750 °C and 800 °C in addition to longer hours of heat exposure.
The effect of orally consumed Lactuca sativa syrup on human milk volume and weight gain in the preterm infant: a randomized controlled clinical trial
Authors: Izaddoost Niloufar , Amiri-Farahani Leila , Haghani Shima , Bordbar Arash , Shojaii Asie , Pezaro Sally 
Published: November 2023

AbstractHuman milk feeding can support premature infants to thrive. Yet those with premature infants can be challenged in human milk production. Considering this, and the use of potentially harmful human milk enhancers, the present study was conducted with the aim of determining the effect of orally consumed Lactuca sativa (L. sativa) syrup (lettuce extract) on human milk volume and subsequent weight gain in the preterm infant. Extracts from lettuce and other plants such as silymarin are already evidenced to be safe for use during lactation and have other therapeutic effects in humans. Yet this is the first study of its kind. This parallel randomized clinical trial included lactating participants with their preterm infants who were born at < 32 weeks' gestation and admitted to an intensive care unit. Convenience sampling was used to recruit participants. Eligible participants were allocated to groups randomly: intervention (n = 47), placebo (n = 46), and control (n = 47). The intervention group received one tablespoon of Lactuca sativa (L. sativa) syrup, and the placebo group received one tablespoon of placebo syrup 3 times a day for 1 week. Those in the control group did not receive any herbal or chemical milk-enhancing compounds. Routine care was provided to all three groups. Participants recorded their milk volume for 7 days in a daily information recorder form. Infant weight was measured prior to the intervention, and on the third, fifth and seventh days of the intervention period. There was a statistically significant difference observed in the adjusted mean volume of milk on the fourth and fifth days between the intervention, placebo, and control groups (P < 0.05). The adjusted mean milk volume of those in the intervention group on the first day was significantly higher than those in the control group and those in the placebo group. On the second day, the adjusted mean milk volume of those in the intervention group was higher than in those from the control group; and on the fourth day it was higher than in those from both the control and placebo groups; on the fifth day it was higher than in those in the placebo group; on the sixth day it was higher than in those in the control group and on the seventh day it was higher than in those in the control group (P < 0.05). There was no statistically significant difference in terms of the mean changes (with or without adjustment) in the weight of preterm infants between any of the groups. Lactuca sativa (L. sativa) syrup increases the volume of human milk production and no specific side effects have been reported in its use. Therefore, Lactuca sativa syrup can be recommended for use as one of the compounds that increase human milk volume.
A qualitative study on healthcare professional and patient perspectives on nurse-led virtual prostate cancer survivorship care
Authors: Young Karen , Xiong Ting , Pfisterer Kaylen J. , Ng Denise , Jiao Tina , Lohani Raima , Nunn Caitlin , Bryant-Lukosius Denise , Rendon Ricardo , Berlin Alejandro , Bender Jacqueline , Brown Ian , Feifer Andrew , Gotto Geoffrey , Cafazzo Joseph A. , Pham Quynh 
Published: November 2023

Abstract
Background
Virtual nurse-led care models designed with health care professionals (HCPs) and patients may support addressing unmet prostate cancer (PCa) survivor needs. Within this context, we aimed to better understand the optimal design of a service model for a proposed nurse-led PCa follow-up care platform (Ned Nurse).

Methods
A qualitative descriptive study exploring follow-up and virtual care experiences to inform a nurse-led virtual clinic (Ned Nurse) with an a priori convenience sample of 10 HCPs and 10 patients. We provide a health ecosystem readiness checklist mapping facilitators onto CFIR and Proctor’s implementation outcomes.

Results
We show that barriers within the current standard of care include: fragmented follow-up, patient uncertainty, and long, persisting wait times despite telemedicine modalities. Participants indicate that a nurse-led clinic should be scoped to coordinate care and support patient self-management, with digital literacy considerations.

Conclusion
A nurse-led follow-up care model for PCa is seen by HCPs as acceptable, feasible, and appropriate for care delivery. Patients value its potential to provide role clarity, reinforce continuity of care, enhance mental health support, and increase access to timely and targeted care. These findings inform design, development, and implementation strategies for digital health interventions within complex settings, revealing opportunities to optimally situate these interventions to improve care.
Interpretable machine learning-based decision support for prediction of antibiotic resistance for complicated urinary tract infections
Authors: Yang Jenny , Eyre David W. , Lu Lei , Clifton David A. 
Published: November 2023

AbstractUrinary tract infections are one of the most common bacterial infections worldwide; however, increasing antimicrobial resistance in bacterial pathogens is making it challenging for clinicians to correctly prescribe patients appropriate antibiotics. In this study, we present four interpretable machine learning-based decision support algorithms for predicting antimicrobial resistance. Using electronic health record data from a large cohort of patients diagnosed with potentially complicated UTIs, we demonstrate high predictability of antibiotic resistance across four antibiotics – nitrofurantoin, co-trimoxazole, ciprofloxacin, and levofloxacin. We additionally demonstrate the generalizability of our methods on a separate cohort of patients with uncomplicated UTIs, demonstrating that machine learning-driven approaches can help alleviate the potential of administering non-susceptible treatments, facilitate rapid effective clinical interventions, and enable personalized treatment suggestions. Additionally, these techniques present the benefit of providing model interpretability, explaining the basis for generated predictions.
Mo-doped PdCu nanoparticles as high-performance catalysts for oxygen reduction reactions
Authors: Kang Kailu , Hu Xing , Zhang Pei , Zhang Yangyang , Zhu Shan , Lei Kaixiang , Jiang Kezhu , Zheng Shijian 
Published: November 2023

The doping of Mo element, particularly Mo5+, has a dual effect on Pd, regulating its electronic structure and inhibiting oxidation. Therefore, the Mo-PdCu/C-1 catalyst, enriched with the highest Mo5+ content, exhibits superior performance for ORR.
Universal and complementary representation learning for automatic modulation recognition
Authors: Liu Bohan , Ge Ruixing , Zhu Yuxuan , Zhang Bolin , Bao Yanfei 
Published: November 2023

AbstractAutomatic modulation recognition (AMR) is a fundamental research topic in the field of signal processing and wireless communication, which has widespread applications in cognitive radio, non‐collaborative communication etc. In this paper, the focus is on the multi‐modal utilization in AMR. Specifically, the universal and complementary characteristics of multiple modality data in the domain‐agnostic and domain‐specific aspects are mined, yielding the universal and complementary subspaces network accordingly (dubbed as UCNet). To facilitate the subspace construction, universal and complementary losses are proposed accordingly. The proposed UCNet has achieved the highest recognition accuracy of 93.2% at 10 dB on the RadioML2016.10A dataset, and the average accuracy is 92.6% at high SNR greater than zero.