bluuebunny/crossref_metadata_2025_split huggingface dataset:
CN+: Vehicular Dataset at Traffic Light Regulated Intersection in Bremen, Germany
Authors: Karunathilake Thenuka , Zongo Meyo , Amarawardana Dinithi , Förster Anna 
Published: June 2024

AbstractVehicular Ad-Hoc Networks (VANETs) were introduced to avoid vehicular-related accidents and to improve the safety of both vehicular passengers and other road users. In VANETs, the vehicles are expected to communicate with neighbouring vehicles to increase awareness about the surrounding by using V2V (vehicle-to-vehicle) communication links. Since the introduction of VANETs, much research has focused on developing state-of-the-art algorithms to increase safety. However, real-world testing of these developed algorithms has become challenging due to the required high cost and multiple practical reasons. Therefore, simulation-based testing is commonly used for VANETs related applications. Using real datasets inside a simulation can significantly increase the results’ accuracy and help to achieve realistic results. In this study, we present a dataset called ’CN+’, which consists of more than 25,000 vehicles collected over 32 hours at a signalized intersection in Bremen, Germany. paper
An EEG & eye-tracking dataset of ALS patients & healthy people during eye-tracking-based spelling system usage
Authors: Ngo Thi Duyen , Kieu Hai Dang , Nguyen Minh Hoa , Nguyen The Hoang-Anh , Can Van Mao , Nguyen Ba Hung , Le Thanh Ha 
Published: June 2024

AbstractThis research presents a dataset consisting of electroencephalogram and eye tracking recordings obtained from six patients with amyotrophic lateral sclerosis (ALS) in a locked-in state and one hundred seventy healthy individuals. The ALS patients exhibited varying degrees of disease progression, ranging from partial mobility and weakened speech to complete paralysis and loss of speech. Despite these physical impairments, the ALS patients retained good eye function, which allowed them to use a virtual keyboard for communication. Data from ALS patients was recorded multiple times at their homes, while data from healthy individuals was recorded once in a laboratory setting. For each data recording, the experimental design involved nine recording sessions per participant, each corresponding to a common human action or demand. This dataset can serve as a valuable benchmark for several applications, such as improving spelling systems with brain-computer interfaces, investigating motor imagination, exploring motor cortex function, monitoring motor impairment progress in patients undergoing rehabilitation, and studying the effects of ALS on cognitive and motor processes.
A Military Audio Dataset for Situational Awareness and Surveillance
Authors: Kim June-Woo , Yoon Chihyeon , Jung Ho-Young 
Published: June 2024

AbstractAudio classification related to military activities is a challenging task due to the high levels of background noise and the lack of suitable and publicly available datasets. To bridge this gap, this paper constructs and introduces a new military audio dataset, named MAD, which is suitable for training and evaluating audio classification systems. The proposed MAD dataset is extracted from various military videos and contains 8,075 sound samples from 7 classes corresponding to approximately 12 hours, exhibiting distinctive characteristics not presented in academic datasets typically used for machine learning research. We present a comprehensive description of the dataset, including its acoustic statistics and examples. We further conduct a comprehensive sound classification study of various deep learning algorithms on the MAD dataset. We are also releasing the source code to make it easy to build these systems. The presented dataset will be a valuable resource for evaluating the performance of existing algorithms and for advancing research in the field of acoustic-based hazardous situation surveillance systems.
Chromosome-level genome of the long-tailed marine-living ornate spiny lobster, Panulirus ornatus
Authors: Ren Xianyun , Sun Dongfang , Lv Jianjian , Gao Baoquan , Jia Shaoting , Bian Xueqiong , Zhao Kuangcheng , Li Jitao , Liu Ping , Li Jian 
Published: June 2024

AbstractRecent conservation efforts to protect rare and endangered aquatic species have intensified. Nevertheless, the ornate spiny lobster (Panulirus ornatus), which is prevalent in the Indo-Pacific waters, has been largely ignored. In the absence of a detailed genomic reference, the conservation and population genetics of this crustacean are poorly understood. Here, We assembled a comprehensive chromosome-level genome for P. ornatus. This genome—among the most detailed for lobsters—spans 2.65 Gb with a contig N50 of 51.05 Mb, and 99.11% of the sequences with incorporated to 73 chromosomes. The ornate spiny lobster genome comprises 65.67% repeat sequences and 22,752 protein-coding genes with 99.20% of the genes functionally annotated. The assembly of the P. ornatus genome provides valuable insights into comparative crustacean genomics and endangered species conservation, and lays the groundwork for future research on the speciation, ecology, and evolution of the ornate spiny lobster.
Chromosome-level genome assembly and annotation of the social amoeba Dictyostelium firmibasis
Authors: Edelbroek Bart , Kjellin Jonas , Jerlström-Hultqvist Jon , Koskiniemi Sanna , Söderbom Fredrik 
Published: June 2024

AbstractDicytostelium firmibasis is a member of Dictyostelia, a group of social amoebae that upon starvation display aggregative multicellularity where the amoebae transition from uni- to multicellular life. The D. firmibasis genome assembly that is currently available is of limited use due to its low contiguity, large number of undetermined bases, and lack of annotations. Here we used Nanopore long read sequencing, complemented with Illumina sequencing, and developmental transcriptomics as well as small RNA-sequencing, to present a new, fully annotated, chromosome-level D. firmibasis genome assembly. The new assembly contains no undetermined bases, and consists mainly of six large contigs representing the chromosomes, as well as a complete mitochondrial genome. This new genome assembly will be a valuable tool, allowing comprehensive comparison to Dictyostelium discoideum, the dictyostelid genetically tractable model. Further, the new genome will be important for studies of evolutionary processes governing the transition from unicellular to multicellular organisms and will aid in the sequencing and annotation of other dictyostelids genomes, many of which are currently of poor quality.
O armário: Fruiting phenology data for 4,462 plant taxa in Portugal (1926–2013)
Authors: Heleno Ruben , Costa José M. , Covelo Filipe , Santos Joaquim , Lopes Pedro , Gouveia António C. , Matos Arménio , Salgado Agostinho , Girão da Cruz M. Teresa , Farminhão João , Horta Marta , Barreto Guilherme , Marques Ana V. , Craveiro Leonardo , Pinto Patrícia , Santos Matilde , Nunes Bárbara , Barreiro Margarida , Dias André , Rodrigues Gabriel , Esteves Leonor , Wanderley Marina , Santos Inês , Artiaga José Pedro , Veríssimo João , Vilhena Inês , Moniz Lucas , Leão Arthur , Couras Marta , Mendes Sara B. , Nereu Mauro , Dias da Silva Ana Margarida , Sales Fátima , Gonçalves M. Teresa , Coutinho António , Freitas Helena , Silva Joaquim S. , Ramos Jaime , Marchante Elizabete , Timóteo Sérgio 
Published: June 2024

AbstractSpecies phenology - the timing of key life events - is being altered by ongoing climate changes with yet underappreciated consequences for ecosystem stability. While flowering is generally occurring earlier, we know much less about other key processes such as the time of fruit ripening, largely due to the lack of comprehensive long-term datasets. Here we provide information on the exact date and site where seeds of 4,462 taxa were collected for the Index Seminum (seed exchange catalogue) of the Botanic Garden of the University of Coimbra, between 1926 and 2013. Seeds were collected from spontaneous and cultivated individuals across Portugal, including both native and introduced taxa. The database consists of 127,747 curated records with information on the species, or infraspecific taxa (including authority), and the day and site where seeds were collected. All records are georeferenced and provided with a confidence interval for the collection site. Taxonomy was first curated manually by in-house botanists and then harmonized according to the GBIF backbone taxonomy.
Microbial co-occurrence network demonstrates spatial and climatic trends for global soil diversity
Authors: Pechlivanis Nikos , Karakatsoulis Georgios , Kyritsis Konstantinos , Tsagiopoulou Maria , Sgardelis Stefanos , Kappas Ilias , Psomopoulos Fotis 
Published: June 2024

AbstractDespite recent research efforts to explore the co-occurrence patterns of diverse microbes within soil microbial communities, a substantial knowledge-gap persists regarding global climate influences on soil microbiota behaviour. Comprehending co-occurrence patterns within distinct geoclimatic groups is pivotal for unravelling the ecological structure of microbial communities, that are crucial for preserving ecosystem functions and services. Our study addresses this gap by examining global climatic patterns of microbial diversity. Using data from the Earth Microbiome Project, we analyse a meta-community co-occurrence network for bacterial communities. This method unveils substantial shifts in topological features, highlighting regional and climatic trends. Arid, Polar, and Tropical zones show lower diversity but maintain denser networks, whereas Temperate and Cold zones display higher diversity alongside more modular networks. Furthermore, it identifies significant co-occurrence patterns across diverse climatic regions. Central taxa associated with different climates are pinpointed, highlighting climate’s pivotal role in community structure. In conclusion, our study identifies significant correlations between microbial interactions in diverse climatic regions, contributing valuable insights into the intricate dynamics of soil microbiota.
Twenty-nine newly sequenced genomes and a comprehensive genome dataset for the insect endosymbiont Buchnera
Authors: Lu Congcong , Zou Tianmin , Liu Qian , Huang Xiaolei 
Published: June 2024

AbstractMost phloem-feeding insects face nutritional deficiency and rely on their intracellular symbionts to provide nutrients, and most of endosymbiont genomes have undergone reduction. However, the study of genome reduction processes of endosymbionts has been constrained by the limited availability of genome data from different insect lineages. The obligate relationship between aphids and Buchnera aphidicola (hereafter Buchnera) makes them a classic model for studying insect-endosymbiont interaction. Here, we report 29 newly sequenced Buchnera genomes from 11 aphid subfamilies, and a comprehensive dataset based on 90 Buchnera genomes from 14 aphid subfamilies. The dataset shows a significant genomic difference of Buchnera among different aphid lineages. The dataset exhibits a more balanced distribution of Buchnera (from 14 aphid subfamilies) genome sizes, ranging from 400 kb to 600 kb, which can illustrate the genome reduction process of Buchnera. The new genome data provide valuable insights into the microevolutionary processes leading to genomic reduction of insect endosymbionts.
In vitro photothermal therapy of pancreatic cancer mediated by immunoglobulin G-functionalized silver nanoparticles
Authors: Nedelcu Andreea , Mocan Teodora , Sabau Lavinia Ioana , Matea Cristian Tudor , Tabaran Flaviu , Pop Teodora , Delcea Cristian , Mosteanu Ofelia , Mocan Lucian 
Published: June 2024

AbstractPancreatic cancer is one of the most aggressive forms of cancer, and treatment options are limited. One therapeutic approach is to use nanoparticles to deliver the active agent directly to pancreatic cancer cells. Nanoparticles can be designed to specifically target cancer cells, minimizing damage to healthy tissues. Silver nanoparticles have the unique ability to absorb light, especially in the near-infrared (NIR) region. In this study, silver nanoparticles functionalized with IgG molecules were synthesized and administered to pancreatic cancer cell lines. Subsequently, the cells were photo-excited using a 2 W 808 nm laser and further examined in PANC-1 pancreatic cancer cell lines. Flow cytometry and confocal microscopy combined with immunochemical staining were used to examine the interaction between photo-excited silver nanoparticles and pancreatic cancer cells. The photothermal therapy based on IgG-functionalized silver nanoparticles in pancreatic cancer induces dysfunction in the Golgi apparatus, leading to the activation of the caspase-3 apoptotic pathway and ultimately resulting in cellular apoptosis. These findings suggest that our proposed IgG nanoparticle laser treatment could emerge as a novel approach for the therapy of pancreatic cancer.
Driving selective upcycling of mixed polyethylene waste with table salt
Authors: Shaker Mohamed , Hamdani Syeda Shamila , Muzata Tanyaradzwa S. , Rabnawaz Muhammad 
Published: June 2024

AbstractAdvanced recycling offers a unique opportunity for the circular economy, especially for mixed and contaminated plastics that are difficult to recycle mechanically. However, advanced recycling has barriers such as poor selectivity, contaminant sensitivity, and the need for expensive catalysts. Reported herein is a simple yet scalable methodology for converting mixed polyethylene (high-density and low-density polyethylene recycled polyethylene) into upcycled waxes with up to 94% yield. This high yield was possible by performing the reaction at a mild temperature and was enabled by using inexpensive and reusable table salt. Without table salt, in otherwise identical conditions, the plastic remained essentially undegraded. These upcycled waxes were used as prototypes for applications such as water- and oil-resistant paper, as well as rheology modifiers for plastics. Their performance is similar to that of commercial wax as well as rheology modifiers. A preliminary economic analysis shows that the upcycled waxes obtained by this table salt-catalyzed approach offer three times more revenue than those reported in the literature. This pioneering discovery opens the door for a circular economy of plastics in general and polyolefins in particular.
Number of steady states of quantum evolutions
Authors: Amato Daniele , Facchi Paolo 
Published: June 2024

AbstractWe prove sharp universal upper bounds on the number of linearly independent steady and asymptotic states of discrete- and continuous-time Markovian evolutions of open quantum systems. We show that the bounds depend only on the dimension of the system and not on the details of the dynamics. A comparison with similar bounds deriving from a recent spectral conjecture for Markovian evolutions is also provided.
First-night effect reduces the beneficial effects of sleep on visual plasticity and modifies the underlying neurochemical processes
Authors: Tamaki Masako , Yamada Takashi , Barnes-Diana Tyler , Wang Zhiyan , Watanabe Takeo , Sasaki Yuka 
Published: June 2024

AbstractIndividuals experience difficulty falling asleep in a new environment, termed the first night effect (FNE). However, the impact of the FNE on sleep-induced brain plasticity remains unclear. Here, using a within-subject design, we found that the FNE significantly reduces visual plasticity during sleep in young adults. Sleep-onset latency (SOL), an indicator of the FNE, was significantly longer during the first sleep session than the second session, confirming the FNE. We assessed performance gains in visual perceptual learning after sleep and increases in the excitatory-to-inhibitory neurotransmitter (E/I) ratio in early visual areas during sleep using magnetic resonance spectroscopy and polysomnography. These parameters were significantly smaller in sleep with the FNE than in sleep without the FNE; however, these parameters were not correlated with SOL. These results suggest that while the neural mechanisms of the FNE and brain plasticity are independent, sleep disturbances temporarily block the neurochemical process fundamental for brain plasticity.
X-ray Thomson scattering absolute intensity from the f-sum rule in the imaginary-time domain
Authors: Dornheim T. , Döppner T. , Baczewski A. D. , Tolias P. , Böhme M. P. , Moldabekov Zh. A. , Gawne Th. , Ranjan D. , Chapman D. A. , MacDonald M. J. , Preston Th. R. , Kraus D. , Vorberger J. 
Published: June 2024

AbstractWe present a formally exact and simulation-free approach for the normalization of X-ray Thomson scattering (XRTS) spectra based on the f-sum rule of the imaginary-time correlation function (ITCF). Our method works for any degree of collectivity, over a broad range of temperatures, and is applicable even in nonequilibrium situations. In addition to giving us model-free access to electronic correlations, this new approach opens up the intriguing possibility to extract a plethora of physical properties from the ITCF based on XRTS experiments.
Factors affecting the expression and stability of full-length and truncated SRSF3 proteins in human cancer cells
Authors: Sue Sung-How , Liu Shu-Ting , Huang Shih-Ming 
Published: June 2024

AbstractAlternative splicing plays a crucial role in increasing the diversity of mRNAs expressed in the genome. Serine/arginine-rich splicing factor 3 (SRSF3) is responsible for regulating the alternative splicing of its own mRNA and ensuring that its expression is balanced to maintain homeostasis. Moreover, the exon skipping of SRSF3 leads to the production of a truncated protein instead of a frameshift mutation that generates a premature termination codon (PTC). However, the precise regulatory mechanism involved in the splicing of SRSF3 remains unclear. In this study, we first established a platform for coexpressing full-length SRSF3 (SRSF3-FL) and SRSF3-PTC and further identified a specific antibody against the SRSF3-FL and truncated SRSF3 (SRSF3-TR) proteins. Next, we found that exogenously overexpressing SRSF3-FL or SRSF3-PTC failed to reverse the effects of digoxin, caffeine, or both in combination on this molecule and its targets. Endoplasmic reticulum-related pathways, transcription factors, and chemicals such as palmitic acid and phosphate were found to be involved in the regulation of SRSF3 expression. The downregulation of SRSF3-FL by palmitic acid and phosphate was mediated via different regulatory mechanisms in HeLa cells. In summary, we provide new insights into the altered expression of the SRSF3-FL and SRSF3-TR proteins for the identification of the functions of SRSF3 in cells.
Using NaOH@Graphene oxide-Fe3O4 as a magnetic heterogeneous catalyst for ultrasonic transesterification; experimental and modelling
Authors: Haghighi Sepideh Moradi , Hemmati Alireza , Moghadamzadeh Hamidreza , Ghaemi Ahad , Raoofi Nahid 
Published: June 2024

AbstractBurning fossil fuels causes toxic gas emissions to increase, therefore, scientists are trying to find alternative green fuels. One of the important alternative fuels is biodiesel. However, using eco-friendly primary materials is a main factor. Sustainable catalysts should have high performance, good activity, easy separation from reaction cells, and regenerability. In this study, to solve the mentioned problem NaOH@Graphene oxide-Fe3O4 as a magnetic catalyst was used for the first time to generate biodiesel from waste cooking oil. The crystal structure, functional groups, surface area and morphology of catalyst were studied by XRD, FTIR, BET, and FESEM techniques. The response surface methodology based central composite design (RSM-CCD) was used for biodiesel production via ultrasonic technique. The maximum biodiesel yield was 95.88% in the following operation: 10.52:1 molar ratio of methanol to oil, a catalyst weight of 3.76 wt%, a voltage of 49.58 kHz, and a time of 33.29 min. The physiochemical characterization of biodiesel was based to ASTM standard. The magnetic catalyst was high standstill to free fatty acid due to the five cycle’s regeneration. The kinetic study results possess good agreement with first-order kinetics as well as the activation energy and Arrhenius constant are 49.2 kJ/min and 16.47 * 1010 min−1, respectively.
Metabolic flexibility ensures proper neuronal network function in moderate neuroinflammation
Authors: Chausse Bruno , Malorny Nikolai , Lewen Andrea , Poschet Gernot , Berndt Nikolaus , Kann Oliver 
Published: June 2024

AbstractMicroglia, brain-resident macrophages, can acquire distinct functional phenotypes, which are supported by differential reprogramming of cell metabolism. These adaptations include remodeling in glycolytic and mitochondrial metabolic fluxes, potentially altering energy substrate availability at the tissue level. This phenomenon may be highly relevant in the brain, where metabolism must be precisely regulated to maintain appropriate neuronal excitability and synaptic transmission. Direct evidence that microglia can impact on neuronal energy metabolism has been widely lacking, however. Combining molecular profiling, electrophysiology, oxygen microsensor recordings and mathematical modeling, we investigated microglia-mediated disturbances in brain energetics during neuroinflammation. Our results suggest that proinflammatory microglia showing enhanced nitric oxide release and decreased CX3CR1 expression transiently increase the tissue lactate/glucose ratio that depends on transcriptional reprogramming in microglia, not in neurons. In this condition, neuronal network activity such as gamma oscillations (30–70 Hz) can be fueled by increased ATP production in mitochondria, which is reflected by elevated oxygen consumption. During dysregulated inflammation, high energy demand and low glucose availability can be boundary conditions for neuronal metabolic fitness as revealed by kinetic modeling of single neuron energetics. Collectively, these findings indicate that metabolic flexibility protects neuronal network function against alterations in local substrate availability during moderate neuroinflammation.
A first step towards understanding thermomechanical behavior of the Nb-Cr system through interatomic potential development and molecular dynamics simulations
Authors: Heaton Lucas A. , Samin Adib J. 
Published: June 2024

AbstractUtilizing a preliminary interatomic potential, this work represents an initial exploration into the thermomechanical behavior of NbCr solid solutions. Specifically, it examines the effect of different amounts of Cr solute, for which information in the literature is limited. The employed interatomic potential was developed according to the embedded atom model (EAM), and was trained on data derived from density functional theory calculations. While the potential demonstrated reasonable accuracy and predictive power when tested, various results highlight deficiencies and encourage further development and training. Mechanical strength, heat capacities, thermal expansion coefficients, and thermal conductivities were found to decrease with Cr content. Elastic coefficients, too, were observed to be strongly dependent on Cr composition. The Pugh embrittlement criterion was not satisfied for any of the compositions and temperatures explored. Gibbs free energy calculations performed on C14, C15, and C36 NbCr$$_{2}$$

2

allotropes predicted the C36 structure to be the most thermodynamically favorable across all investigated temperatures and it was found that C36 becomes increasingly more stable relative to the other two phases with increased pressure. The inability of this work to accurately capture the stability of the different Laves phases is most likely due to the shortcomings in the developed potential.