bluuebunny/crossref_metadata_2025_split huggingface dataset:
Zika vector competence data reveals risks of outbreaks: the contribution of the European ZIKAlliance project
Authors: Obadia Thomas , Gutierrez-Bugallo Gladys , Duong Veasna , Nuñez Ana I. , Fernandes Rosilainy S. , Kamgang Basile , Hery Liza , Gomard Yann , Abbo Sandra R. , Jiolle Davy , Glavinic Uros , Dupont-Rouzeyrol Myrielle , Atyame Célestine M. , Pocquet Nicolas , Boyer Sébastien , Dauga Catherine , Vazeille Marie , Yébakima André , White Michael T. , Koenraadt Constantianus J. M. , Mavingui Patrick , Vega-Rua Anubis , Veronesi Eva , Pijlman Gorben P. , Paupy Christophe , Busquets Núria , Lourenço-de-Oliveira Ricardo , De Lamballerie Xavier , Failloux Anna-Bella 
Published: August 2022

AbstractFirst identified in 1947, Zika virus took roughly 70 years to cause a pandemic unusually associated with virus-induced brain damage in newborns. Zika virus is transmitted by mosquitoes, mainly Aedes aegypti, and secondarily, Aedes albopictus, both colonizing a large strip encompassing tropical and temperate regions. As part of the international project ZIKAlliance initiated in 2016, 50 mosquito populations from six species collected in 12 countries were experimentally infected with different Zika viruses. Here, we show that Ae. aegypti is mainly responsible for Zika virus transmission having the highest susceptibility to viral infections. Other species play a secondary role in transmission while Culex mosquitoes are largely non-susceptible. Zika strain is expected to significantly modulate transmission efficiency with African strains being more likely to cause an outbreak. As the distribution of Ae. aegypti will doubtless expand with climate change and without new marketed vaccines, all the ingredients are in place to relive a new pandemic of Zika.
Electronic structure factors and the importance of adsorbate effects in chemisorption on surface alloys
Authors: Saini Shikha , Halldin Stenlid Joakim , Abild-Pedersen Frank 
Published: August 2022

AbstractThe chemisorption energy is an integral aspect of surface chemistry, central to numerous fields such as catalysis, corrosion, and nanotechnology. Electronic-structure-based methods such as the Newns-Anderson model are therefore of great importance in guiding the engineering of material surfaces with optimal properties. However, existing methods are inadequate for interpreting complex, multi-metallic systems. Herein, we introduce a physics-based chemisorption model for alloyed transition metal surfaces employing primarily metald-band properties that accounts for perturbations in both the substrate and adsorbate electronic states upon interaction. Importantly, we show that adsorbate-induced changes in the adsorption site interact with its chemical environment leading to a second-order response in chemisorption energy with thed-filling of the neighboring atoms. We demonstrate the robustness of the model on a wide range of transition metal alloys with O, N, CH, and Li adsorbates yielding a mean absolute error of 0.13 eV versus density functional theory reference chemisorption energies.
Towards an extension of equivalent system mass for human exploration missions on Mars
Authors: Ho Davian , Makrygiorgos Georgios , Hill Avery , Berliner Aaron J. 
Published: August 2022

AbstractNASA mission systems proposals are often compared using an equivalent system mass (ESM) framework, wherein all elements of a technology to deliver an effect—its components, operations, and logistics of delivery—are converted to effective masses, which has a known cost scale in space operations. To date, ESM methods and the tools for system comparison largely fail to consider complexities stemming from multiple transit and operations stages, such as would be required to support a crewed mission to Mars, and thus do not account for different mass equivalency factors during each period and the inter-dependencies of the costs across the mission segments. Further, ESM does not account well for the differential reliabilities of the underlying technologies. The uncertainty in the performance of technology should incur an equivalent mass penalty for technology options that might otherwise provide a mass advantage. Here we draw attention to the importance of addressing these limitations and formulate the basis of an extension of ESM that allows for a direct method for analyzing, optimizing, and comparing different mission systems. We outline a preliminary example of applying extended ESM (xESM) through a techno-economic calculation of crop-production technologies as an illustrative case for developing offworld biomanufacturing systems.
Water stable and matrix addressable OLED fiber textiles for wearable displays with large emission area
Authors: Song Hayoung , Song Young Jin , Hong Jinwook , Kang Ki Suk , Yu Sera , Cho Ha-Eun , Kim Jae-Hun , Lee Sung-Min 
Published: August 2022

AbstractOrganic light-emitting diode (OLED) fibers with favorable electroluminescence properties and interconnectable pixel configurations have represented the potential for wearable electronic textile displays. Nevertheless, the current technology of OLED fiber-based textile displays still leaves to be desired due to several challenges, including limited emission area and lack of encapsulation systems. Here we present a fibrous OLED textile display that can attain a large emission area and long-term stability by implementing addressable networks comprised of integrated phosphorescence OLED fibers and by designing multilayer encapsulations. The integrated fiber configuration offers decoupled functional fiber surfaces for an interconnectable 1-dimensional OLED pixel array and a data-addressing conductor. Tailored triadic metal/ultrathin oxide/polymer multilayer enables not only the oxygen/water permeation inhibition but also the controllable conductive channels of dielectric antifuses. Together with reliable bending stability, the long-term operation of OLED textiles in water manifests the feasibility of the present device concept toward water-resistant full-emitting-area fibrous textile displays.
Hardness and corrosion behavior of an Al-2Mn alloy with both microstructural and chemical gradients
Authors: Sun Qingqing , He Jing , Chen Jiabo , Chen Chunhong , Guo Xiaokai , Cao Fahe , Wang Shuai 
Published: August 2022

AbstractAn Al–2Mn binary alloy with gradient microstructure and chemistry near its surface was fabricated by combining surface mechanical treatment and post-ageing treatment. TEM results indicate that the minimum grain size of the topmost surface layer is below 100 nm. As revealed by SIMS results, Mn is depleted in the surface layer with ~2 μm in thickness, which is due to the “short-circuit” diffusion along grain boundaries and dislocation pipes. Microhardness and corrosion testing results revealed that both hardness and corrosion resistance increase substantially with this gradient design. XPS and Mott–Schottky results demonstrate that the oxide film of the gradient Al–Mn alloy is thinner and denser than that of the coarse-grained sample. Our design method of obtaining gradient distribution both in microstructure and chemistry near metal surface lights a pathway for overcoming the trade-off between properties such as strength and corrosion in 3000 series Al alloys.
Vertically migrating phytoplankton fuel high oceanic primary production
Authors: Wirtz Kai , Smith S. Lan , Mathis Moritz , Taucher Jan 
Published: August 2022

AbstractMarine net primary production (NPP) is remarkably high given the typical vertical separation of 50–150 m between the depth zones of light and nutrient sufficiency, respectively. Here we present evidence that many autotrophs bridge this gap through downward and upward migration, thereby facilitating biological nutrient pumping and high rates of oceanic NPP. Our model suggests that phytoplankton vertical migration (PVM) fuels up to 40% (>28 tg yr−1 N) of new production and directly contributes 25% of total oceanic NPP (herein estimated at 56 PgC yr−1). Confidence in these estimates is supported by good reproduction of seasonal, vertical and geographic variations in NPP. In contrast to common predictions, a sensitivity study of the PVM model indicates higher NPP under global warming when enhanced stratification reduces physical nutrient transport into the surface ocean. Our findings suggest that PVM is a key mechanism driving marine biogeochemistry and therefore requires consideration in global carbon budgets.
A simultaneous electroencephalography and eye-tracking dataset in elite athletes during alertness and concentration tasks
Authors: Pei Xinzhen , Xu Guiying , Zhou Yunhui , Tao Luna , Cui Xiaozhu , Wang Zhenyu , Xu Bingru , Wang An-Li , Zhao Xi , Dong Haijun , An Yan , Cao Yang , Li Ruxue , Hu Honglin , Yu Yuguo 
Published: August 2022

AbstractThe dataset of simultaneous 64-channel electroencephalography (EEG) and high-speed eye-tracking (ET) recordings was collected from 31 professional athletes and 43 college students during alertness behavior task (ABT) and concentration cognitive task (CCT). The CCT experiment lasting 1–2 hours included five sessions for groups of the Shooting, Archery and Modern Pentathlon elite athletes and the controls. Concentration targets included shooting target and combination target with or without 24 different directions of visual distractors and 2 types of music distractors. Meditation and Schulte Grid trainings were done as interventions. Analysis of the dataset aimed to extract effective biological markers of eye movement and EEG that can assess the concentration level of talented athletes compared with same-aged controls. Moreover, this dataset is useful for the research of related visual brain-computer interfaces.
A dataset of mentorship in bioscience with semantic and demographic estimations
Authors: Ke Qing , Liang Lizhen , Ding Ying , David Stephen V. , Acuna Daniel E. 
Published: August 2022

AbstractMentorship in science is crucial for topic choice, career decisions, and the success of mentees and mentors. Typically, researchers who study mentorship use article co-authorship and doctoral dissertation datasets. However, available datasets of this type focus on narrow selections of fields and miss out on early career and non-publication-related interactions. Here, we describe Mentorship, a crowdsourced dataset of 743176 mentorship relationships among 738989 scientists primarily in biosciences that avoids these shortcomings. Our dataset enriches the Academic Family Tree project by adding publication data from the Microsoft Academic Graph and “semantic” representations of research using deep learning content analysis. Because gender and race have become critical dimensions when analyzing mentorship and disparities in science, we also provide estimations of these factors. We perform extensive validations of the profile–publication matching, semantic content, and demographic inferences, which mostly cover neuroscience and biomedical sciences. We anticipate this dataset will spur the study of mentorship in science and deepen our understanding of its role in scientists’ career outcomes.
ExAgBov: A public database of annotated variations from hundreds of bovine whole-exome sequencing samples
Authors: Raz Rotem , Roth Zvi , Gershoni Moran 
Published: August 2022

AbstractLarge reference datasets of annotated genetic variations from genome-scale sequencing are essential for interpreting identified variants, their functional impact, and their possible contribution to diseases and traits. However, to date, no such database of annotated variation from broad cattle populations is publicly available. To overcome this gap and advance bovine NGS-driven variant discovery and interpretation, we obtained and analyzed raw data deposited in the SRA public repository. Short reads from 262 whole-exome sequencing samples of Bos Taurus were mapped to the Bos Taurus ARS-UCD1.2 reference genome. The GATK best practice workflow was applied for variant calling. Comprehensive annotation of all recorded variants was done using the Ensembl Variant Effect Predictor (VEP). An in-depth analysis of the population structure revealed the breeds comprising the database. The Exomes Aggregate of Bovine- ExAgBov is a comprehensively annotated dataset of more than 20 million short variants, of which ~2% are located within open reading frames, splice regions, and UTRs, and more than 60,000 variants are predicted to be deleterious.
Long-term outcomes of conventional and novel steroid replacement therapy on bone health in primary adrenal insufficiency
Authors: Guarnotta Valentina , Di Stefano Claudia , Giordano Carla 
Published: August 2022

AbstractSteroids affect bone health causing osteoporosis and fractures. The study aims to compare dual-release hydrocortisone (DR-HC) and conventional steroids on bone metabolism in patients with primary adrenal insufficiency (PAI). Thirty-five patients with PAI on conventional steroids (group A) and 35 patients switched to DR-HC (group B), consecutively referred at our hospital, were evaluated at baseline and after 18, 36 and 60 months of treatment. After 60 months of follow-up, patients in group A had a significant increase in body mass index (p = 0.004) and waist circumference (WC) (p = 0.026) and a significant decrease in osteocalcin (p = 0.002), bone alkaline phosphatase (p = 0.029), lumbar spine bone mass density (BMD) T and Z scores (p < 0.001 andp = 0.001, respectively) and vertebral fractures rate (p = 0.021) than baseline. By contrast, patients in group B had a significant decrease in WC (p = 0.047) and increase in bone alkaline phosphatase (p = 0.019), lumbar spine BMD T score (p = 0.032), femoral neck BMD T and Z scores (p = 0.023 andp = 0.036, respectively) than baseline. Long-term conventional steroid replacement therapy is associated with a decrease in BMD, notably at lumbar spine, and increase in vertebral fractures rate. By contrast, DR-HC treatment is associated with improvement of BMD.
Modeling geographical invasions of Solenopsis invicta influenced by land-use patterns
Authors: Lin Chia-Hsien , Liu Yi-Huei , Huang Rong-Nan , Lin Chung-Chi , Liu Helen Kang-Huey , Wen Tzai-Hung 
Published: August 2022

AbstractResearch into geographical invasions of red imported fire ants (RIFAs) by anthropogenic disturbances has received much attention. However, little is known about how land-use change and the characteristics of roads with different land-use types are associated with the risk of RIFA successful invasion or remaining at the highest level of invasion (RIFA SIRH). Furthermore, it was often assumed in prior studies that the risk of RIFA SIRH had a linear association with the independent variables. However, a linear relationship may not reflect the actual circumstances. In this study, we applied linear and nonlinear approaches to assess how land-use types, distance from the nearest road, different land-use types, and spatial factors affect the risk of RIFA SIRH. The results showed that agricultural land, land for transportation usage, and areas that had undergone land-use change from 2014 to 2017 had greater odds of RIFA invasion than natural land cover. We also identified land for transportation usage and the area of land-use change from 2014 to 2017, had more than 60% of RIFA SIRH within 350 m and 150 m from the nearest road. This study provided important insights into RIFA invasions in an isolated island and the areas of control strategies implemented.
Fresh-marketable tomato yields enhanced by moderate weed control and suppressed fruit dehiscence with woodchip mulching
Authors: Horimoto Sakae , Fukuda Kazuaki , Yoshimura Jin , Ishida Atsushi 
Published: August 2022

AbstractThe use of plastic film imposes various environmental risks in agroecosystems. The replacement of plastics with organic materials for mulching has been suggested to enhance the sustainability of agroecosystems. However, whether woodchip mulch can be used for annual crops needs to be verified. We examined the effects of mulberry woodchip mulches on tomato-fruit yields over two successive years. Mulberry is the unique food plant of silkworms, and it will be better if its pruned shoots can be recycled rather than incinerated as waste. Setting three treatments, including woodchip mulch, weed-free and weedy (i.e., unweeded) treatments, we compared the amounts of fresh-marketable and unmarketable tomato fruits. The yields of fresh-marketable tomato fruits in the woodchip mulch treatment were significantly 16–57% higher than those in the weed-free treatment and comparable to those in the weedy treatment. The yields of unmarketable dehiscent tomato fruits in the weed-free treatment were significantly 46–86% higher than those of the other two treatments. The woodchip mulches extensively suppressed the weed density, while the grown weeds became large, preventing strong sunlight exposure and dehiscence of tomato fruits. Current results suggest that woodchips could be a possible alternative to plastics, facilitating climate change mitigation with agroforestry practices.
Analysis of environmental factors using AI and ML methods
Authors: Haq Mohd Anul , Ahmed Ahsan , Khan Ilyas , Gyani Jayadev , Mohamed Abdullah , Attia El-Awady , Mangan Pandian , Pandi Dinagarapandi 
Published: August 2022

AbstractThe main goal of this research paper is to apply a deep neural network model for time series forecasting of environmental variables. Accurate forecasting of snow cover and NDVI are important issues for the reliable and efficient hydrological models and prediction of the spread of forest. Long Short Term Memory (LSTM) model for the time series forecasting of snow cover, temperature, and normalized difference vegetation index (NDVI) are studied in this research work. Artificial neural networks (ANN) are widely used for forecasting time series due to their adaptive computing nature. LSTM and Recurrent neural networks (RNN) are some of the several architectures provided in a class of ANN. LSTM is a kind of RNN that has the capability of learning long-term dependencies. We followed a coarse-to-fine strategy, providing reviews of various related research materials and supporting it with the LSTM analysis on the dataset of Himachal Pradesh, as gathered. Environmental factors of the Himachal Pradesh region are forecasted using the dataset, consisting of temperature, snow cover, and vegetation index as parameters from the year 2001–2017. Currently, available tools and techniques make the presented system more efficient to quickly assess, adjust, and improve the environment-related factors analysis.
Discriminators of pseudoprogression and true progression in high-grade gliomas: A systematic review and meta-analysis
Authors: Taylor Chris , Ekert Justyna O. , Sefcikova Viktoria , Fersht Naomi , Samandouras George 
Published: August 2022

AbstractHigh-grade gliomas remain the most common primary brain tumour with limited treatments options and early recurrence rates following adjuvant treatments. However, differentiating true tumour progression (TTP) from treatment-related effects or pseudoprogression (PsP), may critically influence subsequent management options. Structural MRI is routinely employed to evaluate treatment responses, but misdiagnosis of TTP or PsP may lead to continuation of ineffective or premature cessation of effective treatments, respectively. A systematic review and meta-analysis were conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses method. Embase, MEDLINE, Web of Science and Google Scholar were searched for methods applied to differentiate PsP and TTP, and studies were selected using pre-specified eligibility criteria. The sensitivity and specificity of included studies were summarised. Three of the identified methods were compared in a separate subgroup meta-analysis. Thirty studies assessing seven distinct neuroimaging methods in 1372 patients were included in the systematic review. The highest performing methods in the subgroup analysis were DWI (AUC = 0.93 [0.91–0.95]) and DSC-MRI (AUC = 0.93 [0.90–0.95]), compared to DCE-MRI (AUC = 0.90 [0.87–0.93]). 18F-fluoroethyltyrosine PET (18F-FET PET) and amide proton transfer-weighted MRI (APTw-MRI) also showed high diagnostic accuracy, but results were based on few low-powered studies. Both DWI and DSC-MRI performed with high sensitivity and specificity for differentiating PsP from TTP. Considering the technical parameters and feasibility of each identified method, the authors suggested that, at present, DSC-MRI technique holds the most clinical potential.
A generalized framework for elliptic curves based PRNG and its utilization in image encryption
Authors: AbdElHaleem Sherif H. , Abd-El-Hafiz Salwa K. , Radwan Ahmed G. 
Published: August 2022

AbstractIn the last decade, Elliptic Curves (ECs) have shown their efficacy as a safe fundamental component in encryption systems, mainly when used in Pseudorandom Number Generator (PRNG) design. This paper proposes a framework for designing EC-based PRNG and maps recent PRNG design techniques into the framework, classifying them as iterative and non-iterative. Furthermore, a PRNG is designed based on the framework and verified using the National Institute of Standards and Technology (NIST) statistical test suite. The PRNG is then utilized in an image encryption system where statistical measures, differential attack measures, the NIST statistical test suite, and system key sensitivity analysis are used to demonstrate the system's security. The results are good and promising as compared with other related work.
A hybrid greedy political optimizer with fireworks algorithm for numerical and engineering optimization problems
Authors: Dong Jian , Zou Heng , Li Wenyu , Wang Meng 
Published: August 2022

AbstractThis paper proposes a novel hybrid optimization algorithm named GPOFWA, which integrates political optimizer (PO) with fireworks algorithm (FWA) to solve numerical and engineering optimization problems. The original PO uses subgroup optimal solutions such as party leaders and constituency winners to guide the movement of the search agent. However, the number of such subgroup optimal solutions is limited, which leads to insufficient global exploration capabilities of PO. In addition, the recent past-based position updating strategy (RPPUS) of PO lacks effective verification of the updated candidate solutions, which reduces the convergence speed of the algorithm. The proposed hybrid algorithm uses the spark explosion mechanism in FWA to perform explosion spark and Gauss explosion spark operations on the subgroup optimal solutions (party leader and constituency winner) respectively based on the greedy strategy, which optimizes the subgroup optimal solution and enhances the exploitative ability of the algorithm. Moreover, Gaussian explosion sparks are also used to correct the candidate solutions after RPPUS, which makes up for the shortcomings of the original PO. In addition, a new subgroup optimal solution called the Converged Mobile Center (CMC) based on two-way consideration is designed to guide the movement of search agents and maintain the population diversity. We test the presented hybrid algorithm on 30 well-known benchmark functions, CEC2019 benchmark functions and three engineering optimization problems. The experimental results show that GPOFWA is superior to many statE−of-thE−art methods in terms of the quality of the resulting solution.