bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improvement in the skill of CMIP6 decadal hindcasts for extreme rainfall events over the Indian summer monsoon region
Authors: Konda Gopinadh , Chowdary Jasti S. , Gnanaseelan C. , Parekh Anant 
Published: December 2023

AbstractDecadal climate predictions have been widely used to predict the near-term climate information relevant for decision-making at multi-year timescales. In the present study, we evaluate the quality of the Coupled Model Intercomparison Project phase-6 (CMIP6) Decadal Climate Prediction Project (DCPP) hindcasts in capturing the extreme rainfall events (EREs) over the monsoon core region during Indian summer monsoon season (June–September) up to lead years 1–10. For the first time, in this study, we have used quantile mapping approach to downscale and bias correct the DCPP CMIP6 simulation/hindcast rainfall for the better representation of EREs. Detailed analysis suggests that the models in general strongly underestimate the rainfall variability over the summer monsoon region. However, after the downscaling and bias correction, the representation of rainfall variability and intensity improved multifold. The bias-corrected decadal hindcasts in fact show ~ 80% improvement in capturing the frequency, intensity, and spatial distribution of rainfall associated with the EREs. Present study brought out a downscaled DCPP product, with potential prediction skill for EREs over India. It is important to highlight that the models predict an increase in the small and medium-area EREs as compared to the large-area EREs over the monsoon core region for the decade 2019–2028.
Medication delivery errors in outpatients with percutaneous endoscopic gastrostomy: effect on tube feeding replacement
Authors: García González David , Martín-Suárez Ana , Salvador Sánchez Juan José , Sánchez Serrano Jesús Ángel , Calvo M. Victoria 
Published: December 2023

AbstractPatients with enteral access usually receive oral drugs via feeding tubes and correct drug administration remains a challenge. The aim of this study was to identify common medication delivery errors (MDEs) in outpatients with percutaneous endoscopic gastrostomy (PEG) and evaluate their association with the need for tube replacement due to deterioration or clogging. A 2-year retrospective study that comprised adult outpatients with a placed/replaced PEG tube and whose electronic medical record included home medication was carried out. Treatment with medication that should not be crushed and administered through an enteral feeding tube was considered an MDE. We included 269 patients and 213 MDEs (20% of oral prescriptions) were detected in 159. Ninety-two percent of the medications associated with MDEs could be substituted by appropriate formulations. Tube replacement due to obstruction was needed in 85 patients. MDEs were associated with increased risk for tube replacement (OR 2.17; 95% CI 1.10–4.27). Omeprazole enteric-coated capsules were associated with the greatest risk (OR 2.24; 95% CI 1.01–4.93). PEG outpatients are highly exposed to MDEs, leading to a significant increase in the odds of tube replacement, mainly when treated with omeprazole. The use of appropriate alternative therapies would prevent unnecessary adverse events.
Evaluation of a decellularized bronchial patch transplant in a porcine model
Authors: Taniguchi Daisuke , Kamata Satoshi , Rostami Sara , Tuin Stephen , Marin-Araujo Alba , Guthrie Kelly , Petersen Thomas , Waddell Thomas K. , Karoubi Golnaz , Keshavjee Shaf , Haykal Siba 
Published: December 2023

AbstractBiological scaffolds for airway reconstruction are an important clinical need and have been extensively investigated experimentally and clinically, but without uniform success. In this study, we evaluated the use of a decellularized bronchus graft for airway reconstruction. Decellularized left bronchi were procured from decellularized porcine lungs and utilized as grafts for airway patch transplantation. A tracheal window was created and the decellularized bronchus was transplanted into the defect in a porcine model. Animals were euthanized at 7 days, 1 month, and 2 months post-operatively. Histological analysis, immunohistochemistry, scanning electron microscopy, and strength tests were conducted in order to evaluate epithelialization, inflammation, and physical strength of the graft. All pigs recovered from general anesthesia and survived without airway obstruction until the planned euthanasia timepoint. Histological and electron microscopy analyses revealed that the decellularized bronchus graft was well integrated with native tissue and covered by an epithelial layer at 1 month. Immunostaining of the decellularized bronchus graft was positive for CD31 and no difference was observed with immune markers (CD3, CD11b, myeloperoxidase) at two months. Although not significant, tensile strength was decreased after one month, but recovered by two months. Decellularized bronchial grafts show promising results for airway patch reconstruction in a porcine model. Revascularization and re-epithelialization were observed and the immunological reaction was comparable with the autografts. This approach is clinically relevant and could potentially be utilized for future applications for tracheal replacement.
Genomic surveillance of SARS-CoV-2 reveals highest severity and mortality of delta over other variants: evidence from Cameroon
Authors: Fokam Joseph , Essomba Rene Ghislain , Njouom Richard , Okomo Marie-Claire A. , Eyangoh Sara , Godwe Celestin , Tegomoh Bryan , Otshudiema John O. , Nwobegahay Julius , Ndip Lucy , Akenji Blaise , Takou Desire , Moctar Mohamed M. M. , Mbah Cleophas Kahtita , Ndze Valantine Ngum , Maidadi-Foudi Martin , Kouanfack Charles , Tonmeu Sandrine , Ngono Dorine , Nkengasong John , Ndembi Nicaise , Bissek Anne-Cecile Z. K. , Mouangue Christian , Ndongo Chanceline B. , Epée Emilienne , Mandeng Nadia , Kamso Belinga Sandrine , Ayouba Ahidjo , Fernandez Nicolas , Tongo Marcel , Colizzi Vittorio , Halle-Ekane Gregory-Edie , Perno Carlo-Federico , Ndjolo Alexis , Ndongmo Clement B. , Shang Judith , Esso Linda , de-Tulio Oliviera , Diagne Moussa Moise , Boum Yap , Mballa Georges A. E. , Njock Louis R. ,   Genomic Surveillance Study Group, Mba Serge Alain Sadeuh , Ngoupou Paul-Alain Tagnoukam , Henri Moumbeket Yifomnjou , Eyoum Bertrand , Beloumou Grace , Ngaba Guy Pascal , Medi Christiane , Nyatte Lydie , Sanders Melissa , Amougou Marie , Bille Loko , Buyohnwenda Kizito Atehambe , Ngomtcho Claudine , Mouliom Abas , Njuwa Fai Karl Gwei , Ateba Gisele Nke , Nka Alex , Dimite Laura , Dir Adama N. , Eboumbou Carole 
Published: December 2023

AbstractWhile the SARS-CoV-2 dynamic has been described globally, there is a lack of data from Sub-Saharan Africa. We herein report the dynamics of SARS-CoV-2 lineages from March 2020 to March 2022 in Cameroon. Of the 760 whole-genome sequences successfully generated by the national genomic surveillance network, 74% were viral sub-lineages of origin and non-variants of concern, 15% Delta, 6% Omicron, 3% Alpha and 2% Beta variants. The pandemic was driven by SARS-CoV-2 lineages of origin in wave 1 (16 weeks, 2.3% CFR), the Alpha and Beta variants in wave 2 (21 weeks, 1.6% CFR), Delta variants in wave 3 (11 weeks, 2.0% CFR), and omicron variants in wave 4 (8 weeks, 0.73% CFR), with a declining trend over time (p = 0.01208). Even though SARS-CoV-2 heterogeneity did not seemingly contribute to the breadth of transmission, the viral lineages of origin and especially the Delta variants appeared as drivers of COVID-19 severity in Cameroon.
Emergence of a mutual-growth mechanism in networks evolved by social preference based on indirect utility
Authors: Lee Jong-Hyeok , Ogawa Ken-ichiro 
Published: December 2023

AbstractPreferential attachment is an important mechanism in the structural evolution of complex networks. However, though resources on a network propagate and have an effect beyond a direct relationship, growth by preferential attachment based on indirectly propagated resources has not been systematically investigated. Here, we propose a mathematical model of an evolving network in which preference is proportional to a utility function reflecting direct utility from directly connected nodes and indirect utility from indirectly connected nodes beyond the directly connected nodes. Our analysis showed that preferential attachment involving indirect utility forms a converged and hierarchical structure, thereby significantly increasing the indirect utility across the entire network. Further, we found that the structures are formed by mutual growth between adjacent nodes, which promotes a scaling exponent of 1.5 between the number of indirect and direct links. Lastly, by examining several real networks, we found evidence of mutual growth, especially in social networks. Our findings demonstrate a growth mechanism emerging in evolving networks with preference for indirect utility, and provide a foundation for systematically investigating the role of preference for indirect utility in the structural and functional evolution of large-scale social networks.
Angular surface plasmon resonance-based sensor with a silver nanocomposite layer for effective water pollution detection
Authors: Sayed Fatma A. , Elsayed Hussein A. , Al-Dossari M. , Eissa M. F. , Mehaney Ahmed , Aly Arafa H. 
Published: December 2023

AbstractFor sensing various samples of polluted water and various sodium chloride concentrations using an angular surface plasmon resonance (ASPR), we have introduced a conventional structure and a hybrid heterostructure in the current research. The suggested structures are composed of silver metal, dielectric layers, silver nanocomposite, and a sensing medium. The reflectance spectra of all structures in the visible region were obtained through the utilization of the transfer matrix method by using the angular interrogation method depending on the Kretschmann configuration. Through our findings, five substrate parameters have been optimized to attain the utmost level of sensitivity across all structures: the thickness of Ag-metal, the type and thickness of dielectric materials, the host material type and the volume fraction of nanoparticles for the nanocomposite layer. In this regard, the suggested sensor provides excellent performance with a sensitivity of 448.1°$$/\text{RIU}$$

/
RIU

, signal-to-noise ratio of 0.787, sensor resolution of 0.284°, and figure of merit of 78.766 RIU−1. Therefore, we believe that the introduced design of our ASPR sensor presents a good candidate for an accurate and efficient detection of low concentrations of contaminated water and sodium chloride as well.
Prediction of learning curves of wired and wireless intraoral scanners
Authors: Koo Boncheol , Son Keunbada , Lee Ji-Min , Kim So-Yeun , Jin Myoung-Uk , Lee Kyu-Bok 
Published: December 2023

AbstractThis clinical study aimed to predict the learning curve of wireless and wired intraoral scanners (IOSs) and to compare the reduction patterns of working time. Overall, 14 participants were enrolled in the study. The intraoral scanning procedure was repeated four times, each using wireless and wired IOSs (i700; MEDIT). The work time from the first to the 600th iterations was predicted using the Wright model. Regarding statistical analysis, the Mann–Whitney U-test was performed for comparison between wireless and wired IOSs and between groups with and without an IOS usage experience, and the Friedman test was performed to evaluate the time reduction (α = 0.05). There was a significant difference between wireless and wired IOSs in the first (P = 0.008) and the third (P = 0.035) iterations. Moreover, the time for 600 iterations was statistically significantly different between wireless and wired IOSs (P < 0.05); however, there was no significant difference after the sixth iteration (e.g., seventh iteration: P = 0.062). In wireless IOS, no significant difference was found between participants with and without an IOS usage experience after the 34th iteration (P = 0.053). The difference in the learning effect between wireless and wired IOSs can be overcome by initial learning; however, an IOS usage experience can affect the learning time of wireless IOSs.
Pericentromeric recombination suppression and the ‘large X effect’ in plants
Authors: Wong Edgar L. Y. , Filatov Dmitry A. 
Published: December 2023

AbstractX chromosome was reported to be a major contributor to isolation between closely related species—the ‘large X’ effect (LXE). The causes of LXE are not clear, but the leading theory is that it is caused by recessive species incompatibilities exposed in the phenotype due to the hemizygosity of X-linked genes in the heterogametic sex. However, the LXE was also reported in species with relatively recently evolved sex chromosomes where Y chromosome is not completely degenerate and X-linked genes are not hemizygous, such as the plantSilene latifolia. Recent genome sequencing and detailed genetic mapping in this species revealed a massive (> 330 Mb) non- or rarely-recombining pericentromeric region on the X chromosome (Xpr) that comprises ~ 90% of the chromosome and over 13% of the entire genome. If any of the Xpr genes are involved in species incompatibilities, this would oppose interspecific gene flow for other genes tightly linked in the Xpr. Here we test the hypothesis that the previously reported LXE inS. latifoliais caused by the lack of recombination on most of the X chromosome. Based on genome-wide analysis of DNA polymorphism and gene expression inS. latifoliaand its close cross-compatible relativeS. dioica, we report that the rarely-recombining regions represent a significant barrier for interspecific gene flow. We found little evidence for any additional factors contributing to the LXE, suggesting that extensive pericentromeric recombination suppression on the X-chromosome is the major if not the only cause of the LXE inS. latifoliaandS. dioica.
Better individual-level risk models can improve the targeting and life-saving potential of early-mortality interventions
Authors: Hazlett Chad , Ramos Antonio P. , Smith Stephen 
Published: December 2023

AbstractInfant mortality remains high and uneven in much of sub-Saharan Africa. Even low-cost, highly effective therapies can only save lives in proportion to how successfully they can be targeted to those children who, absent the treatment, would have died. This places great value on maximizing the accuracy of any targeting or means-testing algorithm. Yet, the interventions that countries deploy in hopes of reducing mortality are often targeted based on simple models of wealth or income or a few additional variables. Examining 22 countries in sub-Saharan Africa, we illustrate the use of flexible (machine learning) risk models employing up to 25 generally available pre-birth variables from the Demographic and Health Surveys. Using these models, we construct risk scores such that the 10 percent of the population at highest risk account for 15-30 percent of infant mortality, depending on the country. Successful targeting in these models turned on several variables other than wealth, while models that employ only wealth data perform little or no better than chance. Consequently, employing such data and models to predict high-risk births in the countries studied flexibly could substantially improve the targeting and thus the life-saving potential of existing interventions.
Popper’s conjecture with angular slits and twisted light
Authors: Gounden Neelan , Epstein Jenna , Ornelas Pedro , Beck Geoff , Nape Isaac , Forbes Andrew 
Published: December 2023

AbstractUncertainty relations are core to both classical and quantum physics, and lend themselves to tests across many degrees of freedom, with structured light emerging as a vibrant tool to harness these degrees of freedom. Here, we test Popper’s conjecture by replacing the traditional spatial and momentum states with angular position and orbital angular momentum (OAM) states of photons, showing that the OAM spectrum for an entangled photon passing through a virtual slit differs from that of a photon passing through a physical slit. To achieve this, we produce two OAM entangled photons, one of which is sent to a slit encoded as a digital hologram, thereby localising its angular position, all the while measuring the OAM of the other. We show that the measured OAM spectrum is limited to that of the initial SPDC photons, independent of the OAM encoded into the slit, consistent with Popper’s viewpoint. Our approach allows us to overcome prior limitations imposed by physical slits and linear momentum, and offers a versatile toolbox for further probes of quantum systems.
An improved deep reinforcement learning routing technique for collision-free VANET
Authors: Upadhyay Pratima , Marriboina Venkatadri , Goyal Samta Jain , Kumar Sunil , El-Kenawy El-Sayed M. , Ibrahim Abdelhameed , Alhussan Amel Ali , Khafaga Doaa Sami 
Published: December 2023

AbstractVehicular Adhoc Networks (VANETs) is an emerging field that employs a wireless local area network (WLAN) characterized by an ad-hoc topology. Vehicular Ad Hoc Networks (VANETs) comprise diverse entities that are integrated to establish effective communication among themselves and with other associated services. Vehicular Ad Hoc Networks (VANETs) commonly encounter a range of obstacles, such as routing complexities and excessive control overhead. Nevertheless, the majority of these attempts were unsuccessful in delivering an integrated approach to address the challenges related to both routing and minimizing control overheads. The present study introduces an Improved Deep Reinforcement Learning (IDRL) approach for routing, with the aim of reducing the augmented control overhead. The IDRL routing technique that has been proposed aims to optimize the routing path while simultaneously reducing the convergence time in the context of dynamic vehicle density. The IDRL effectively monitors, analyzes, and predicts routing behavior by leveraging transmission capacity and vehicle data. As a result, the reduction of transmission delay is achieved by utilizing adjacent vehicles for the transportation of packets through Vehicle-to-Infrastructure (V2I) communication. The simulation outcomes were executed to assess the resilience and scalability of the model in delivering efficient routing and mitigating the amplified overheads concurrently. The method under consideration demonstrates a high level of efficacy in transmitting messages that are safeguarded through the utilization of vehicle-to-infrastructure (V2I) communication. The simulation results indicate that the IDRL routing approach, as proposed, presents a decrease in latency, an increase in packet delivery ratio, and an improvement in data reliability in comparison to other routing techniques currently available.
Hydrothermal synthesis of hierarchical microstructure tungsten oxide/carbon nanocomposite for supercapacitor application
Authors: Alonzo Shanna Marie M. , Bentley John , Desai Salil , Bastakoti Bishnu Prasad 
Published: December 2023

AbstractA hierarchical nanocomposite of carbon microspheres decorated with tungsten oxide (WO3) nanocrystals resulted from the hydrothermal treatment of a precursor solution containing glucose and tungstic acid. The dehydration of glucose molecules formed oligosaccharides, which consequently carbonized, turning into carbon microspheres. The carbon microspheres then acted as a spherical nucleus onto which WO3 nanocrystals grew via heterogeneous nucleation. The reaction product showed a phase junction of orthorhombic and monoclinic WO3, which transitioned to mix-phase of tetragonal and monoclinic WO3 after a subsequent heat treatment at 600 °C in an inert condition. The electrochemical tests showed that incorporating WO3 onto the carbon (WO3/C) resulted in a three-fold increase in the specific capacitance compared to WO3 alone and a high coulombic and energy efficiencies of 98.2% and 92.8%, respectively. The nanocomposite exhibited supercapacitance with both Faradaic and non-Faradaic charge storage mechanisms. Electrochemical impedance spectroscopy showed a lower charge transfer resistance for the composite at Rct = 11.7Ω.
Metagenomics reveals effects of fluctuating water conditions on functional pathways in plant litter microbial community
Authors: Likar Matevž , Grašič Mateja , Stres Blaž , Regvar Marjana , Gaberščik Alenka 
Published: December 2023

AbstractClimate change modifies environmental conditions, resulting in altered precipitation patterns, moisture availability and nutrient distribution for microbial communities. Changes in water availability are projected to affect a range of ecological processes, including the decomposition of plant litter and carbon cycling. However, a detailed understanding of microbial stress response to drought/flooding is missing. In this study, an intermittent lake is taken up as a model for changes in water availability and how they affect the functional pathways in microbial communities of the decomposing Phragmites australis litter. The results show that most enriched functions in both habitats belonged to the classes of Carbohydrates and Clustering-based subsystems (terms with unknown function) from SEED subsystems classification. We confirmed that changes in water availability resulted in altered functional makeup of microbial communities. Our results indicate that microbial communities under more frequent water stress (due to fluctuating conditions) could sustain an additional metabolic cost due to the production or uptake of compatible solutes to maintain cellular osmotic balance. Nevertheless, although prolonged submergence seemed to have a negative impact on several functional traits in the fungal community, the decomposition rate was not affected.
Identification and partial characterization of new cell density-dependent nucleocytoplasmic shuttling proteins and open chromatin
Authors: Li Kangjing , Li Yaxin , Nakamura Fumihiko 
Published: December 2023

AbstractThe contact inhibition of proliferation (CIP) denotes the cell density-dependent inhibition of growth, and the loss of CIP represents a hallmark of cancer. However, the mechanism by which CIP regulates gene expression remains poorly understood. Chromatin is a highly complex structure consisting of DNA, histones, and trans-acting factors (TAFs). The binding of TAF proteins to specific chromosomal loci regulates gene expression. Therefore, profiling chromatin is crucial for gaining insight into the gene expression mechanism of CIP. In this study, using modified proteomics of TAFs bound to DNA, we identified a protein that shuttles between the nucleus and cytosol in a cell density-dependent manner. We identified TIPARP, PTGES3, CBFB, and SMAD4 as cell density-dependent nucleocytoplasmic shuttling proteins. In low-density cells, these proteins predominantly reside in the nucleus; however, upon reaching high density, they relocate to the cytosol. Given their established roles in gene regulation, our findings propose their involvement as CIP-dependent TAFs. We also identified and characterized potential open chromatin regions sensitive to changes in cell density. These findings provide insights into the modulation of chromatin structure by CIP.