bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimizing Inspire Hypoglossal Nerve Stimulator Settings in Pediatric Obstructive Sleep Apnea
Authors: Marcus Kathryn S. , Larrow Danielle R. , Gipson Kevin S. , Hartnick Christopher J. 
Published: June 2024

IntroductionHypoglossal nerve stimulation (HGNS) is an effective therapy for carefully selected pediatric patients with Down syndrome (DS) and obstructive sleep apnea (OSA), but optimization of device settings has been focused on stimulation settings. The potential benefits of sensing lead setting optimization have not been investigated. We describe a series of three cases of HGNS in children with DS where optimization of both the stimulation lead and sensing lead settings, as well as utilization of drug‐induced sleep endoscopy (DISE), when indicated, was more effective than stimulation lead optimization alone.MethodsUsing our novel titration algorithm, among the three identified pediatric patients with DS in whom HGNS initially failed to reduce the apnea‐hypopnea index (AHI), two patients in whom sleep studies were characterized as hypopnea‐dominant were assigned to advanced titration (optimization of stimulation settings and sensing lead settings). The third patient, with an obstructive apnea‐dominant sleep study, was referred for interrogated DISE. Advanced titration included adjustment of both stimulation settings and sensing lead settings.ResultsApplication of the advanced titration algorithm, tailored to obstructive apnea‐ versus hypopnea‐dominant sleep patterns, resulted in approximately 50% or greater reduction in AHI in all three patients. “Normal to mild OSA” AHI (AHI <5) was achieved in two patients.ConclusionsA novel diagnostic and therapeutic titration algorithm for the Inspire HGNS system significantly reduced AHI in three pediatric patients with DS and OSA who had failed to respond to the standard device titration that focused solely on stimulation settings.Level of Evidence4 Laryngoscope, 134:5164–5169, 2024
Soil microbial community dynamics in response to Tamarix ramosissima afforestation in desert lands: Metagenomic insights
Authors: Zhang Zhihao , Cong Mengfei , Zhao Guangxing , Song Jiaoyang , Du Yi , Zhang Yulin , Dong Xinping , Tariq Akash , Wang Weiqi , Zeng Fanjiang 
Published: June 2024

AbstractUnderstanding the influence of afforestation on soil microorganisms, the major drivers of soil processes, is essential for maintaining soil health and sustainability. However, in a desert‐oasis ecotone, variations in the microbial community along shrub afforestation years remain unclear. We conducted a metagenomic analysis to study the temporal changes in microbial community structure in 0–100 cm soil following 3‐, 7‐, and 10‐year afforestation of Tamarix ramosissima Ledeb. on the southern edge of the Taklimakan Desert. Compared to the unreclaimed desert land, in 3‐year or 7‐year stands, soil organic carbon (SOC), nitrate nitrogen, available phosphorus and potassium (AK) contents significantly increased on average by 60%, 852%, 72%, and 299%, respectively. Soil archaeal and bacterial community composition were significantly affected by afforestation; their α‐diversity increased on average by 5.9% and 11.1%, respectively, after afforestation, showing a unimodal pattern along afforestation years. In contrast, fungal α‐diversity and community composition did not show significant variation over the afforestation period. The influence of AK outweighed that of SOC and other nutrients on soil microbial community composition. These findings suggest that T. ramosissima afforestation in the desert‐oasis ecotone has significant impacts on the community composition and α‐diversity of archaea and bacteria, but not fungi, by modifying soil physicochemical properties. This research provides valuable implications for soil management and microbial processes related to the afforestation of salt‐secreting shrubs.
Quantifying spatial complexity in submerged aquatic vegetation landscapes using remote sensing: Lessons from simulated and real landscapes
Authors: de Grandpré Arthur , Kinnard Christophe , Bertolo Andrea 
Published: June 2024

AbstractThe spatial organization of vegetation has been shown to be a strong indicator of ecological state in multiple ecosystems. In this study, we analyze the relationships between spatial complexity metrics in submerged aquatic vegetation (SAV) landscapes, and we explore the potential of satellite remote sensing to quantify these metrics in submerged environments. To do so, we estimated an array of complexity metrics over both simulated and real SAV landscapes of contrasted spatial organization. All these landscapes were artificially manipulated to (i) simulate remote sensing noise associated with the low signal‐to‐noise ratio (SNR) of aquatic environments and environmental noise generated by wind and waves, and (ii) reduce their spatial resolution from very high (2 m) to medium (30 m). Among these treatments, spatial resolution and low SNR (represented by sensor noise) had the strongest impacts on the perceived spatial complexity of the landscapes, while the impact of environmental noise was highly dependent on resolution. Although single metrics were deemed insufficient to characterize the spatial complexity of a landscape, a combination of informational complexity metrics such as the clumpy index, mean information gain, landscape shape index, and edge density provided a robust explanation of variation in the real and simulated datasets. These findings suggest that remote sensing has a strong potential for the ecological monitoring of SAV by contributing to establishing the link between SAV spatial structure and ecological status.
Strong marine heatwaves trigger flowering in seagrass
Authors: García‐Escudero Catalina A. , Litsi‐Mizan Victoria , Efthymiadis Pavlos T. , Gerakaris Vasilis , Serrano Oscar , Apostolaki Eugenia T. 
Published: June 2024

AbstractIn recent decades, the global intensification of marine heatwaves has impacted several ecosystems and species, including the endemic Mediterranean seagrass Posidonia oceanica. However, the scarcity of research in Eastern Mediterranean meadows, where historical and present thermal conditions differ from those of the Western Mediterranean, hampers our ability to draw comprehensive conclusions regarding the species' response to elevated sea temperatures. Here, we studied flowering patterns of P. oceanica meadows (3–15 m depth) of the Greek seas and assessed their potential association with marine heatwaves, while also examining the effects on plant growth associated with the transition from vegetative to sexual reproduction. To do so, we reconstructed flowering patterns from 2007 to 2021 across 58 meadows using lepidochronology and estimated summer marine heatwave metrics and categories using satellite sea surface temperature. The results revealed that flowering, while sporadic in most meadows (mean flowering frequency: 0.15), it was triggered by strong (Category II) summer marine heatwaves and a cumulative intensity exceeding 30°C days. Nevertheless, flowering density was low (mean flowering density: 11 inflorescences m−2) and not fuelled by frequency, intensity, or duration of marine heatwaves. Despite the potential long‐term benefits of sexual reproduction, annual rhizome production of flowering shoots decreased 1.5‐fold for at least 2 yr postflowering. This study uncovers the susceptibility of Eastern Mediterranean P. oceanica meadows, akin to their western counterparts, to marine heatwaves induced stress and its effects on reproductive strategies, raising concerns about the prospective plant growth and reproductive fitness to the escalating trend in marine heatwaves.
Spectrophotometrically derived seawater CO2‐system assessments: Parameter calculations using pH do not require measurements at standard temperatures
Authors: Schockman Katelyn M. , Byrne Robert H. , Carter Brendan R. , Feely Richard A. 
Published: June 2024

AbstractThe temperature range of Earth's open‐ocean waters is roughly 0–30°C, yet our understanding of the seawater carbon dioxide (CO2) system is largely derived from analyses conducted within a narrow temperature range (e.g., laboratory temperature of 20°C or 25°C). Herein, we address two aspects of open‐ocean CO2‐system measurements and modeling: (1) a highly precise spectrophotometric technique is used to determine bicarbonate dissociation constants (K2) in seawater at temperatures as low as 3°C and (2) a cruise dataset uniquely including total scale pH measurements at two temperatures is used for CO2‐system internal consistency comparisons at 12°C and 25°C. Our pK2 parameterization (where pK = −log K) is applicable for broad ranges of salinity (20 ≤ SP ≤ 40) and temperature (3°C ≤ t ≤ 35°C). Our CO2‐system internal consistency evaluation (comparison of measured and calculated CO2‐system parameters) utilized data obtained during NOAA's 2021 West Coast Ocean Acidification Cruise: total alkalinity (TA), total dissolved inorganic carbon (DIC), pH measured at 25°C, and pH measured at 12°C (n = 265). Results demonstrate that, relative to calculations utilizing the TA, DIC pair, agreement between measured and calculated parameters is improved when either TA or DIC is paired with pH measurements at either temperature. Calculations of CO2 fugacity (fCO2) and aragonite saturation state (Ωar) using pH measurements made at 25°C or 12°C (paired with either TA or DIC) are statistically indistinguishable. Results also suggest that the temperature dependence of current CO2‐system dissociation constants need further refinement.
Piperazinium Poly(Ionic Liquid)s as Solid Electrolytes for Lithium Batteries
Authors: Gallastegui Antonela , Lingua Gabriele , Lopez‐Larrea Naroa , Carfora Raffaele , Pasini Dario , Mantione Daniele , Mecerreyes David 
Published: June 2024

AbstractPoly(ionic liquid)s combine the unique properties of ionic liquids (ILs) within ionic polymers holding significant promise for energy storage applications. It is reported here the synthesis and characterization of a new family of poly(ionic liquid)s synthesized from cationic piperazinium ionic liquid monomers. The cationic poly(acrylamide piperazinium) in combination with sulfonamide anions like bis(trifluoromethanesulfonyl) imide (TFSI) and bis(fluorosulfonyl) imide (FSI) are characterized as solid polymer electrolytes. The polymer electrolytes in combination with pyrrolidonium ILs and LiFSI show high ionic conductivity, 5×10−3 S cm−1 at 100 °C. Piperazinium polymer electrolytes show excellent compatibility with lithium metal reversible plating and stripping at high current density and low temperature 40 °C.
Analysis of carbohydrates and glycoconjugates by matrix‐assisted laser desorption/ionization mass spectrometry: An update for 2021–2022
Authors: Harvey David J. 
Published: June 2024

AbstractThe use of matrix‐assisted laser desorption/ionization (MALDI) mass spectrometry for the analysis of carbohydrates and glycoconjugates is a well‐established technique and this review is the 12th update of the original article published in 1999 and brings coverage of the literature to the end of 2022. As with previous review, this review also includes a few papers that describe methods appropriate to analysis by MALDI, such as sample preparation, even though the ionization method is not MALDI. The review follows the same format as previous reviews. It is divided into three sections: (1) general aspects such as theory of the MALDI process, matrices, derivatization, MALDI imaging, fragmentation, quantification and the use of computer software for structural identification. (2) Applications to various structural types such as oligo‐ and polysaccharides, glycoproteins, glycolipids, glycosides and biopharmaceuticals, and (3) other general areas such as medicine, industrial processes, natural products and glycan synthesis where MALDI is extensively used. Much of the material relating to applications is presented in tabular form. MALDI is still an ideal technique for carbohydrate analysis, particularly in its ability to produce single ions from each analyte and advancements in the technique and range of applications show little sign of diminishing.
UV radiation‐induced peptides in frog skin confer protection against cutaneous photodamage through suppressing MAPK signaling
Authors: Yang Tingyi , Geng Fenghao , Tang Xiaoyou , Yu Zuxiang , Liu Yulan , Song Bin , Tang Zhihui , Wang Baoning , Ye Bengui , Yu Daojiang , Zhang Shuyu 
Published: June 2024

AbstractOverexposure to ultraviolet light (UV) has become a major dermatological problem since the intensity of ultraviolet radiation is increasing. As an adaption to outside environments, amphibians gained an excellent peptide‐based defense system in their naked skin from secular evolution. Here, we first determined the adaptation and resistance of the dark‐spotted frogs (Pelophylax nigromaculatus) to constant ultraviolet B (UVB) exposure. Subsequently, peptidomics of frog skin identified a series of novel peptides in response to UVB. These UV‐induced frog skin peptides (UIFSPs) conferred significant protection against UVB‐induced death and senescence in skin cells. Moreover, the protective effects of UIFSPs were boosted by coupling with the transcription trans‐activating (TAT) protein transduction domain. In vivo, TAT‐conjugated UIFSPs mitigated skin photodamage and accelerated wound healing. Transcriptomic profiling revealed that multiple pathways were modulated by TAT‐conjugated UIFSPs, including small GTPase/Ras signaling and MAPK signaling. Importantly, pharmacological activation of MAPK kinases counteracted UIFSP‐induced decrease in cell death after UVB exposure. Taken together, our findings provide evidence for the potential preventive and therapeutic significance of UIFSPs in UV‐induced skin damage by antagonizing MAPK signaling pathways. In addition, these results suggest a practicable alternative in which potential therapeutic agents can be mined from organisms with a fascinating ability to adapt.
Effect of digital finance on inclusive green growth: Evidence from China's urban agglomerations
Authors: Sun Jiasen , Liu Tong , Zhao Ruizeng 
Published: June 2024

AbstractThis study uses a data envelopment analysis model to assess the inclusive green growth (IGG) level for five major urban agglomerations in China from 2013 to 2020. In addition, it analyzes the potential digital finance (DIF) mechanism affecting IGG. Several conclusions are obtained. First, the IGG levels of the five major urban agglomerations in China increase yearly, narrowing their gaps. Second, DIF can significantly promote IGG. Third, heterogeneity exists in the impact of DIF on IGG owing to the differences in city tiers and sizes. Meanwhile, the coverage and digitization level of DIF significantly and positively promote IGG. Fourth, financial supervision intensity and human capital level play a single‐threshold effect in the relationship between DIF and IGG. The contribution of DIF to IGG is further enhanced when financial regulation intensity and human capital level exceed the thresholds 0.0013 and 1.5084, respectively. Lastly, green technology innovation, regional entrepreneurship, and industrial structure upgrading have intermediary roles in the baseline path of DIF impacting IGG.
The effects of omega‐3, DHA, EPA, Souvenaid® in Alzheimer's disease: A systematic review and meta‐analysis
Authors: Calderon Martinez Ernesto , Zachariah Saji Stephin , Salazar Ore Jonathan Victor , Borges‐Sosa Omar A. , Srinivas Samyuktha , Mareddy Naga Sai Rasagna , Manzoor Tanseem , Di Vanna Mariela , Al Shanableh Yasemin , Taneja Rishabh , Arruarana Victor Sebastian 
Published: June 2024

AbstractBackgroundAlzheimer's disease (AD) is the most common cause of dementia worldwide. Omega‐3 fatty acids (n‐3‐PUFA) are essential to normal neural development and function. Souvenaid®, a medical supplement that contains n‐3‐PUFA's: eicosatetraenoic acid (EPA) and docosahexaenoic acid (DHA), has emerged as an alternative, slowing cognitive decline in AD patients. In this study, we investigated the effect of dietary supplementation with n‐3‐PUFA, EPA, DHA, and Souvenaid® in AD patients.AimThis systematic review and meta‐analysis aim to establish the relationship between n‐3‐PUFA, EPA, DHA, and Souvenaid® with cognitive effects, ventricular volume and adverse events in AD patients.MethodsA systematic search of randomized control trials (RCT), cohorts, and case–control studies was done in PubMed, Scopus, Web of Science, Cochrane, and Embase for AD adult patients with dietary supplementation with n‐3‐PUFA, EPA, DHA, or Souvenaid® between 2003 and 2024.ResultsWe identified 14 studies with 2766 subjects aligned with our criteria. Most publications described positive cognitive outcomes from supplements (58%). The most common adverse events reported were gastrointestinal symptoms. CDR scale showed reduced progression of cognitive decline (SMD = −0.4127, 95% CI: [−0.5926; −0.2327]), without subgroup differences between different dietary supplement interventions. ADCS‐ADL, MMSE, ADAS‐cog, adverse events, and ventricular volume did not demonstrate significant differences. However, Souvenaid® showed a significant negative effect (SMD = −0.3593, 95% CI: −0.5834 to −0.1352) in ventricular volumes.ConclusionsThe CDR scale showed reduced progression of cognitive decline among patients with n‐3‐PUFA supplemental interventions, with no differences between different n‐3‐PUFA supplements.
Major depressive disorder after heart transplantation with partial response to antidepressant therapy and remission with aripiprazole augmentation: A case report
Authors: Nakamura Toshinori , Kuraishi Yuta , Ohya Dai , Kimura Kazuhiro , Sasayama Daimei , Washizuka Shinsuke 
Published: June 2024

AbstractThe incidence of major depressive disorder (MDD) after heart transplantation is high; however, there are no reports on treatment options when antidepressant therapy fails to improve the condition. We herein report on the case of a woman with MDD after heart transplantation who partially improved with antidepressant treatment but continued to have a loss of appetite. Augmentation treatment with aripiprazole improved her appetite, and her MDD went into remission. When antidepressant treatment is not sufficiently effective for MDD after heart transplantation, augmentation treatment with antipsychotics, such as aripiprazole, should be considered.
The E3 ubiquitin ligase TRIP12 is required for pancreatic acinar cell plasticity and pancreatic carcinogenesis
Authors: Brunet Manon , Vargas Claire , Fanjul Marjorie , Varry Damien , Hanoun Naïma , Larrieu Dorian , Pieruccioni Laetitia , Labrousse Guillaume , Lulka Hubert , Capilla Florence , Ricard Alban , Selves Janick , Couvelard Anne , Gigoux Véronique , Cordelier Pierre , Guillermet‐Guibert Julie , Dufresne Marlène , Torrisani Jérôme 
Published: June 2024

AbstractThe E3 ubiquitin ligase thyroid hormone receptor interacting protein 12 (TRIP12) has been implicated in pancreatic adenocarcinoma (PDAC) through its role in mediating the degradation of pancreas transcription factor 1a (PTF1a). PTF1a is a transcription factor essential for the acinar differentiation state that is notably diminished during the early steps of pancreatic carcinogenesis. Despite these findings, the direct involvement of TRIP12 in the onset of pancreatic cancer has yet to be established. In this study, we demonstrated that TRIP12 protein was significantly upregulated in human pancreatic preneoplastic lesions. Furthermore, we observed that TRIP12 overexpression varied within PDAC samples and PDAC‐derived cell lines. We further demonstrated that TRIP12 was required for PDAC‐derived cell growth and for the expression of E2F‐targeted genes. Acinar‐to‐ductal cell metaplasia (ADM) is a reversible process that reflects the high plasticity of acinar cells. ADM becomes irreversible in the presence of oncogenic Kras mutations and leads to the formation of preneoplastic lesions. Using two genetically modified mouse models, we showed that a loss of TRIP12 prevented acini from developing ADM in response to pancreatic injury. With two additional mouse models, we further discovered that a depletion of TRIP12 prevented the formation of KrasG12D‐induced preneoplastic lesions and impaired metastasis formation in the presence of mutated KrasG12D and Trp53R172H genes. In summary our study identified an overexpression of TRIP12 from the early stages of pancreatic carcinogenesis and proposed this E3 ubiquitin ligase as a novel regulator of acinar plasticity with an important dual role in initiation and metastatic steps of PDAC. © 2024 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
Application of molecular networking to improve the compound annotation in liquid chromatography–mass spectrometry–based metabolomics analysis: A case study of Bupleuri radix
Authors: Qin Weibo , Wu Yi , Gao Wenyi , Wang Yang 
Published: June 2024

AbstractIntroductionCompound annotation is always a challenging step in metabolomics studies. The molecular networking strategy has been developed recently to organize the relationship between compounds as a network based on their tandem mass (MS2) spectra similarity, which can be used to improve compound annotation in metabolomics analysis.ObjectiveThis study used Bupleuri Radix from different geographic areas to evaluate the performance of molecular networking strategy for compound annotation in liquid chromatography‐mass spectrometry (LC–MS)–based metabolomics.MethodologyThe Bupleuri Radix extract was analyzed by LC‐quadrupole time‐of‐flight MS under MSe acquisition mode. After raw data preprocessing, the resulting dataset was used for statistical analysis, including principal component analysis (PCA) and partial least squares discriminant analysis (PLS‐DA). The chemical makers related to the sample growth place were selected using variable importance in projection (VIP) > 2, fold change (FC) > 2, and p < 0.05. The molecular networking analysis was applied to conduct the compound annotation.ResultsThe score plots of PCA showed that the samples were classified into two clusters depending on their growth place. Then, the PLS‐DA model was constructed to explore the chemical changes of the samples further. Sixteen compounds were selected as chemical makers and tentatively annotated by the feature‐based molecular networking (FBMN) analysis.ConclusionThe results showed that the molecular networking method fully exploits the MS information and is a promising tool for facilitating compound annotation in metabolomics studies. However, the software used for feature extraction influenced the results of library searching and molecular network construction, which need to be taken into account in future studies.
Doses for X‐ray and electron diffraction: New features in RADDOSE‐3D including intensity decay models
Authors: Dickerson Joshua L. , McCubbin Patrick T. N. , Brooks‐Bartlett Jonathan C. , Garman Elspeth F. 
Published: June 2024

AbstractNew features in the dose estimation program RADDOSE‐3D are summarised. They include the facility to enter a diffraction intensity decay model which modifies the “Diffraction Weighted Dose” output from a “Fluence Weighted Dose” to a “Diffraction‐Decay Weighted Dose”, a description of RADDOSE‐ED for use in electron diffraction experiments, where dose is historically quoted in electrons/Å2 rather than in gray (Gy), and finally the development of a RADDOSE‐3D GUI, enabling easy access to all the options available in the program.