bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reconstructed eight-century streamflow in the Tibetan Plateau reveals contrasting regional variability and strong nonstationarity
Authors: Wu Yenan , Long Di , Lall Upmanu , Scanlon Bridget R. , Tian Fuqiang , Fu Xudong , Zhao Jianshi , Zhang Jianyun , Wang Hao , Hu Chunhong 
Published: October 2022

AbstractShort instrumental streamflow records in the South and East Tibetan Plateau (SETP) limit understanding of the full range and long-term variability in streamflow, which could greatly impact freshwater resources for about one billion people downstream. Here we reconstruct eight centuries (1200−2012 C.E.) of annual streamflow from the Monsoon Asia Drought Atlas in five headwater regions across the SETP. We find two regional patterns, including northern (Yellow, Yangtze, and Lancang-Mekong) and southern (Nu-Salween and Yarlung Zangbo-Brahmaputra) SETP regions showing ten contrasting wet and dry periods, with a dividing line of regional moisture regimes at ~32°−33°N identified. We demonstrate strong temporal nonstationarity in streamflow variability, and reveal much greater high/low mean flow periods in terms of duration and magnitude: mostly pre-instrumental wetter conditions in the Yarlung Zangbo-Brahmaputra and drier conditions in other rivers. By contrast, the frequency of extreme flows during the instrumental periods for the Yangtze, Nu-Salween, and Yarlung Zangbo-Brahmaputra has increased by ~18% relative to the pre-instrumental periods.
Electronic fingerprint mechanism of NOx sensor based on single-material SnP3 logical junction
Authors: Ramzan Muhammad S. , Kuc Agnieszka B. , Kim Han Seul 
Published: October 2022

AbstractAn extraordinary sensing ability of the SnP3-based single-material logical junction for harmful NOx gases was explored in the present work through a set of first-principles electronic structure calculations. As a sensing platform, a metal-semiconductor-metal lateral junction composed of a single material was designed based on the metallic/semiconducting characteristics of trilayer/monolayer SnP3. Lacking a Schottky barrier at the electrode-channel interface, the gas-specific charge transfer between the SnP3 layer and gas molecules was precisely detected based on the current-voltage characteristics. NOx gases with strong adsorption strength and charge transfer amount on the SnP3 substrate were shown to be particularly well detected in this manner, in terms of either the absolute magnitude of the current or negative differential resistance (NDR) at a reasonably small bias voltage as a sensing signal. This work will provide a new pathway to design a Schottky barrier-free metal-semiconductor junction for highly sensitive sensor applications.
Physics-based electrical modelling of CIGS thin-film photovoltaic modules for system-level energy yield simulations
Authors: Ramesh Santhosh , Tuomiranta Arttu , Hajjiah Ali , Meuris Marc , Vermang Bart , Poortmans Jef 
Published: October 2022

AbstractCopper indium gallium selenide (CIGS) is a commercialized, high-efficiency thin-film photovoltaic (PV) technology. The state-of-the-art energy yield models for this technology have a significant normalized root mean square error (nRMSE) on power estimation: De Soto model—26.7%; PVsyst model—12%. In this work, we propose a physics-based electrical model for CIGS technology which can be used for system-level energy yield simulations by people across the PV value chain. The model was developed by considering models of significant electrical current pathways from literature and adapting it for the system-level simulation. We improved it further by incorporating temperature and irradiance dependence of parameters through characterisation at various operating conditions. We also devised a module level, non-destructive characterization strategy based on readily available measurement equipment to obtain the model parameters. The model was validated using the measurements from multiple commercial modules and has a significantly lower power estimationnRMSEof 1.2%.
A population-wide gene-environment interaction study on how genes, schools, and residential areas shape achievement
Authors: Cheesman Rosa , Borgen Nicolai T. , Lyngstad Torkild H. , Eilertsen Espen M. , Ayorech Ziada , Torvik Fartein A. , Andreassen Ole A. , Zachrisson Henrik D. , Ystrom Eivind 
Published: October 2022

AbstractA child’s environment is thought to be composed of different levels that interact with their individual genetic propensities. However, studies have not tested this theory comprehensively across multiple environmental levels. Here, we quantify the contributions of child, parent, school, neighbourhood, district, and municipality factors to achievement, and investigate interactions between polygenic indices for educational attainment (EA-PGI) and environmental levels. We link population-wide administrative data on children’s standardised test results, schools and residential identifiers to the Norwegian Mother, Father, and Child Cohort Study (MoBa), which includes >23,000 genotyped parent-child trios. We test for gene-environment interactions using multilevel models with interactions between EA-PGI and random effects for school and residential environments (thus remaining agnostic to specific features of environments). We use parent EA-PGI to control for gene-environment correlation. We found an interaction between students’ EA-PGI and schools suggesting compensation: higher-performing schools can raise overall achievement without leaving children with lower EA-PGI behind. Differences between schools matter more for students with lower EA-PGI, explaining 4 versus 2% of the variance in achievement for students 2 SD below versus 2 SD above the mean EA-PGI. Neighbourhood, district, and municipality variation contribute little to achievement (<2% of the variance collectively), and do not interact with children’s individual EA-PGI. Policy to reduce social inequality in achievement in Norway should focus on tackling unequal support across schools for children with difficulties.
Predicted effectiveness of vaccines and extended half-life monoclonal antibodies against RSV hospitalizations in children
Authors: Zheng Zhe , Weinberger Daniel M. , Pitzer Virginia E. 
Published: October 2022

AbstractSeveral vaccines and extended half-life monoclonal antibodies (mAbs) against respiratory syncytial virus (RSV) have shown promise in clinical trials. We used age-structured transmission models to predict the possible impact of various RSV prevention strategies including maternal immunization, live-attenuated vaccines, and long-lasting mAbs. Our results suggest that maternal immunization and long-lasting mAbs are likely to be highly effective in preventing RSV hospitalizations in infants under 6 months of age, averting more than half of RSV hospitalizations in neonates. Live-attenuated vaccines could reduce RSV hospitalizations in vaccinated age groups and are also predicted to have a modest effect in unvaccinated age groups because of disruptions to transmission. Compared to year-round vaccination, a seasonal vaccination program at the country level provides at most a minor advantage regarding efficiency. Our findings highlight the substantial public health impact that upcoming RSV prevention strategies may provide.
Immunogenicity and protective efficacy of a rhesus adenoviral vaccine targeting conserved COVID-19 replication transcription complex
Authors: Dagotto Gabriel , Ventura John D. , Martinez David R. , Anioke Tochi , Chung Benjamin S. , Siamatu Mazuba , Barrett Julia , Miller Jessica , Schäfer Alexandra , Yu Jingyou , Tostanoski Lisa H. , Wagh Kshitij , Baric Ralph S. , Korber Bette , Barouch Dan H. 
Published: October 2022

AbstractThe COVID-19 pandemic marks the third coronavirus pandemic this century (SARS-CoV-1, MERS, SARS-CoV-2), emphasizing the need to identify and evaluate conserved immunogens for a pan-sarbecovirus vaccine. Here we investigate the potential utility of a T-cell vaccine strategy targeting conserved regions of the sarbecovirus proteome. We identified the most conserved regions of the sarbecovirus proteome as portions of the RNA-dependent RNA polymerase (RdRp) and Helicase proteins, both of which are part of the coronavirus replication transcription complex (RTC). Fitness constraints suggest that as SARS-CoV-2 continues to evolve these regions may better preserve cross-reactive potential of T-cell responses than Spike, Nucleocapsid, or Membrane proteins. We sought to determine if vaccine-elicited T-cell responses to the highly conserved regions of the RTC would reduce viral loads following challenge with SARS-CoV-2 in mice using a rhesus adenovirus serotype 52 (RhAd52) vector. The RhAd52.CoV.Consv vaccine generated robust cellular immunity in mice and led to significant reductions in viral loads in the nasal turbinates following challenge with a mouse-adapted SARS-CoV-2. These data suggest the potential utility of T-cell targeting of conserved regions for a pan-sarbecovirus vaccine.
Impacts of micromobility on car displacement with evidence from a natural experiment and geofencing policy
Authors: Asensio Omar Isaac , Apablaza Camila Z. , Lawson M. Cade , Chen Edward W. , Horner Savannah J. 
Published: October 2022

AbstractMicromobility, such as electric scooters and electric bikes—an estimated US$300 billion global market by 2030—will accelerate electrification efforts and fundamentally change urban mobility patterns. However, the impacts of micromobility adoption on traffic congestion and sustainability remain unclear. Here we leverage advances in mobile geofencing and high-resolution data to study the effects of a policy intervention, which unexpectedly banned the use of scooters during evening hours with remote shutdown, guaranteeing near perfect compliance. We test theories of habit discontinuity to provide statistical identification for whether micromobility users substitute scooters for cars. Evidence from a natural experiment in a major US city shows increases in travel time of 9–11% for daily commuting and 37% for large events. Given the growing popularity of restrictions on the use of micromobility devices globally, cities should expect to see trade-offs between micromobility restrictions designed to promote public safety and increased emissions associated with heightened congestion.
Human-muscle-inspired single fibre actuator with reversible percolation
Authors: Kim In Ho , Choi Subi , Lee Jieun , Jung Jiyoung , Yeo Jinwook , Kim Jun Tae , Ryu Seunghwa , Ahn Suk-kyun , Kang Jiheong , Poulin Philippe , Kim Sang Ouk 
Published: October 2022

AbstractArtificial muscles are indispensable components for next-generation robotics capable of mimicking sophisticated movements of living systems. However, an optimal combination of actuation parameters, including strain, stress, energy density and high mechanical strength, is required for their practical applications. Here we report mammalian-skeletal-muscle-inspired single fibres and bundles with large and strong contractive actuation. The use of exfoliated graphene fillers within a uniaxial liquid crystalline matrix enables photothermal actuation with large work capacity and rapid response. Moreover, the reversible percolation of graphene fillers induced by the thermodynamic conformational transition of mesoscale structures can be in situ monitored by electrical switching. Such a dynamic percolation behaviour effectively strengthens the mechanical properties of the actuator fibres, particularly in the contracted actuation state, enabling mammalian-muscle-like reliable reversible actuation. Taking advantage of a mechanically compliant fibre structure, smart actuators are readily integrated into strong bundles as well as high-power soft robotics with light-driven remote control.
Hansbreen Snowpit Dataset – over 30-year of detailed snow research on an Arctic glacier
Authors: Laska Michał , Luks Bartłomiej , Kępski Daniel , Gądek Bogdan , Głowacki Piotr , Puczko Dariusz , Migała Krzysztof , Nawrot Adam , Pętlicki Michał 
Published: October 2022

AbstractSnow cover is a key element in the water cycle, global heat balance and in the condition of glaciers. Characterised by high temporal and spatial variability, it is subject to short- and long-term changes in climatic conditions. This paper presents a unique dataset of snow measurements on Hansbreen, an Arctic glacier in Svalbard. The dataset includes 79 archived snow profiles performed from 1989 to 2021. It presents all available observations of physical properties for snow cover, such as grain shape and size, hardness, wetness, temperature and density, supplemented with organised metadata. All data has been revised and unified with current protocols and the present International Classification for Seasonal Snow on the Ground, allowing comparison of data from different periods and locations. The information included is essential for estimations of glacier mass balance or snow depth using indirect methods, such as ground-penetrating radar. A wide range of input data makes this dataset valuable to the greater community involved in the study of snow cover evolution and modelling related to glaciology, ecology and hydrology of glacierised areas.
Smartphone-based ecological momentary assessment reveals mental health benefits of birdlife
Authors: Hammoud Ryan , Tognin Stefania , Burgess Lucie , Bergou Nicol , Smythe Michael , Gibbons Johanna , Davidson Neil , Afifi Alia , Bakolis Ioannis , Mechelli Andrea 
Published: October 2022

AbstractThe mental health benefits of everyday encounters with birdlife for mental health are poorly understood. Previous studies have typically relied on retrospective questionnaires or artificial set-ups with little ecological validity. In the present study, we used the Urban Mind smartphone application to examine the impact of seeing or hearing birds on self-reported mental wellbeing in real-life contexts. A sample of 1292 participants completed a total of 26,856 ecological momentary assessments between April 2018 and October 2021. Everyday encounters with birdlife were associated with time-lasting improvements in mental wellbeing. These improvements were evident not only in healthy people but also in those with a diagnosis of depression, the most common mental illness across the world. These findings have potential implications for both environmental and wildlife protection and mental healthcare policies. Specific measures, aimed at preserving and increasing everyday encounters with birdlife in urban areas, should be implemented.
Gauging the skin resident Leishmania parasites through a loop mediated isothermal amplification (LAMP) assay in post-kala-azar dermal leishmaniasis
Authors: Ghosh Prakash , Chowdhury Rajashree , Maruf Shomik , Picado Albert , Hossain Faria , Owen Sophie I. , Nath Rupen , Baker James , Hasnain Md Golam , Shomik Mohammad Sohel , Ghosh Debashis , Rashid Masud , Rashid Md. Utba , Sagar Soumik Kha , Rahat Md. Abu , Basher Ariful , Nath Proggananda , Edwards Thomas , Andrews Jason R. , Duthie Malcolm S. , de Souza Dziedzom K. , Adams Emily R. , Ndungu Joseph , Cruz Israel , Mondal Dinesh 
Published: October 2022

AbstractDespite the availability of highly sensitive polymerase chain reaction (PCR)-based methods, the dearth of remotely deployable diagnostic tools circumvents the early and accurate detection of individuals with post-kala-azar dermal leishmaniasis (PKDL). Here, we evaluate a design-locked loop-mediated isothermal amplification (LAMP) assay to diagnose PKDL. A total of 76 snip-skin samples collected from individuals with probable PKDL (clinical presentation and a positive rK39 rapid diagnostic test (RDT)) were assessed by microscopy, qPCR, and LAMP. An equal number of age and sex-matched healthy controls were included to determine the specificity of the LAMP assay. The LAMP assay with a Qiagen DNA extraction (Q-LAMP) showed a promising sensitivity of 72.37% (95% CI: 60.91–82.01%) for identifying the PKDL cases. LAMP assay sensitivity declined when the DNA was extracted using a boil-spin method. Q-qPCR showed 68.42% (56.75–78.61%) sensitivity, comparable to LAMP and with an excellent agreement, whereas the microscopy exhibited a weak sensitivity of 39.47% (28.44–51.35%). When microscopy and/or qPCR were considered the gold standard, Q-LAMP exhibited an elevated sensitivity of 89.7% (95% CI: 78.83–96.11%) for detection of PKDL cases and Bayesian latent class modeling substantiated the excellent sensitivity of the assay. All healthy controls were found to be negative. Notwithstanding the optimum efficiency of the LAMP assay towards the detection of PKDL cases, further optimization of the boil-spin method is warranted to permit remote use of the assay.
Ferrichrome, a fungal-type siderophore, confers high ammonium tolerance to fission yeast
Authors: Chiu Po-Chang , Nakamura Yuri , Nishimura Shinichi , Tabuchi Toshitsugu , Yashiroda Yoko , Hirai Go , Matsuyama Akihisa , Yoshida Minoru 
Published: October 2022

AbstractMicroorganisms and plants produce siderophores, which function to transport environmental iron into cells as well as participate in cellular iron use and deposition. Their biological functions are diverse although their role in primary metabolism is poorly understood. Ferrichrome is a fungal-type siderophore synthesized by nonribosomal peptide synthetase (NRPS). Herein we show that ferrichrome induces adaptive growth of fission yeast on high ammonium media. Ammonium is a preferred nitrogen source as it suppresses uptake and catabolism of less preferred nitrogen sources such as leucine through a mechanism called nitrogen catabolite repression (NCR). Therefore, the growth of fission yeast mutant cells with leucine auxotrophy is suppressed in the presence of high concentrations of ammonium. This growth suppression was canceled by ferrichrome in a manner dependent on the amino acid transporter Cat1. Additionally, growth retardation of wild-type cells by excess ammonium was exacerbated by deleting the NRPS gene sib1, which is responsible for the biosynthesis of ferrichrome, suggesting that intrinsically produced ferrichrome functions in suppressing the metabolic action of ammonium. Furthermore, ferrichrome facilitated the growth of both wild-type and sib1-deficient cells under low glucose conditions. These results suggest that intracellular iron regulates primary metabolism, including NCR, which is mediated by siderophores.
Feature generation and contribution comparison for electronic fraud detection
Authors: Ti Yen-Wu , Hsin Yu-Yen , Dai Tian-Shyr , Huang Ming-Chuan , Liu Liang-Chih 
Published: October 2022

AbstractModern money transfer services are convenient, attracting fraudulent actors to run scams in which victims are deceived into transferring funds to fraudulent accounts. Machine learning models are broadly applied due to the poor fraud detection performance of traditional rule-based approaches. Learning directly from raw transaction data is impractical due to its high-dimensional nature; most studies construct features instead by extracting patterns from raw transaction data. Past literature categorizes these features into recency, frequency, monetary, and anomaly detection features. We use various machine learning algorithms to examine the performance of features in these four categories with real transaction data; we compare them with the performance of our feature generation guideline based on the statistical perspectives and characteristics of (non)-fraudulent accounts. The results show that except for the monetary category, other feature categories used in the literature perform poorly regardless of which machine learning algorithm is used; anomaly detection features perform the worst. We find that even statistical features generated based on financial knowledge yield limited performance on a real transaction dataset. Our atypical detection characteristic of normal accounts improves the ability to distinguish them from fraudulent accounts and hence improves the overall detection results, outperforming other existent methods.
Insights on metallic particle bonding to thermoplastic polymeric substrates during cold spray
Authors: Heydari Astaraee Asghar , Colombo Chiara , Bagherifard Sara 
Published: October 2022

AbstractMetallization of polymers using cold spray technology has reached wide consideration in recent years. However, an effective modeling approach to address the deposition phenomena able to assess bonding formation in polymer metallization is still lacking. This study aims to develop a finite element model to simulate the solid-state deposition of metallic particles on thermoplastic polymeric substrates. Single copper particle impact on the Polyether Ether Ketone substrate was modeled using the coupled Lagrangian–Eulerian approach. Emphasis was given to the polymer material properties and substrate thermal history to account for the sensitivity of the physical and mechanical properties of polymers to temperature. Experimental coating depositions were performed to select an optimized set of spray parameters while single-particle impact tests were conducted for model validation. The substrate temperature was measured using an infrared thermal camera and was used to model the sub-surface temperature gradient during gas spray exposure. The proposed numerical model is shown to be capable of predicting various impact features includi mechanical interlocking and the effect of particle velocity fluctuations and temperature gradients on the extent of bonding. Substrate heating was found to have a distinct effect on the correct prediction of particle bonding. The proposed model enables tuning the appropriate processing conditions for successful copper particle adhesion on PEEK polymeric substrates.
Activated carbon derived from sugarcane and modified with natural zeolite for efficient adsorption of methylene blue dye: experimentally and theoretically approaches
Authors: Mohamed Fatma , Shaban Mohamed , Zaki Shimaa Kotb , Abd-Elsamie Maysaa Sayed , Sayed Radwa , Zayed Mohamed , Khalid Nermein , Saad Sara , Omar Sara , Ahmed Ashour M. , Gerges Abanoub , El-Mageed H. R. Abd , Soliman N. K. 
Published: October 2022

AbstractThe introduction of activated carbon/natural zeolite (AC/NZ) as an efficient and reliable nanoadsorbent for enhancing methylene blue (MB) dye adsorption. By calcining sugarcane waste at various temperatures between 500 and 900 °C, activated carbons (ACs) are formed. Both XRD and SEM were used for the characterization of the prepared adsorbents. Adsorption measurements for the removal of MB dye were made on the impact of pH, beginning MB concentration, and contact time. The maximum AC500/NZ adsorption capacity for MB dye at 25 °C, pH 7, and an AC500/NZ mass of 50 mg was found to be approximately 51 mg/g at an initial concentration of 30 ppm. The pseudo-second-order kinetics model and the Temkin isotherm model describe the adsorption process. The Temkin model shows that the adsorption energy is 1.0 kcal/mol, indicating that the MB-to-AC500/NZ adsorption process occurs physically. Our Monte Carlo (MC) simulation studies supported our findings and showed that the Van der Waals dispersion force was responsible for the MB molecule's physical adsorption. The AC500/NZ adsorbent is thought to be a strong contender for water remediation.