bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mechanisms of cell size regulation in slow-growing Escherichia coli cells: discriminating models beyond the adder
Authors: Nieto César , Vargas-García César Augusto , Pedraza Juan Manuel , Singh Abhyudai 
Published: May 2024

AbstractUnder ideal conditions, Escherichia coli cells divide after adding a fixed cell size, a strategy known as the adder. This concept applies to various microbes and is often explained as the division that occurs after a certain number of stages, associated with the accumulation of precursor proteins at a rate proportional to cell size. However, under poor media conditions, E. coli cells exhibit a different size regulation. They are smaller and follow a sizer-like division strategy where the added size is inversely proportional to the size at birth. We explore three potential causes for this deviation: degradation of the precursor protein and two models where the propensity for accumulation depends on the cell size: a nonlinear accumulation rate, and accumulation starting at a threshold size termed the commitment size. These models fit the mean trends but predict different distributions given the birth size. To quantify the precision of the models to explain the data, we used the Akaike information criterion and compared them to open datasets of slow-growing E. coli cells in different media. We found that none of the models alone can consistently explain the data. However, the degradation model better explains the division strategy when cells are larger, whereas size-related models (power-law and commitment size) account for smaller cells. Our methodology proposes a data-based method in which different mechanisms can be tested systematically.
Shift away from Nile incision at Luxor ~4,000 years ago impacted ancient Egyptian landscapes
Authors: Peeters Jan , Graham Angus , Toonen Willem H. J. , Pennington Benjamin T. , Durcan Julie A. , Winkels Timotheus G. , Barker Dominic S. , Masson-Berghoff Aurélia , Adamson Kathryn , Emery Virginia L. , Strutt Kristian D. , Millet Marie , Sollars Luke H. , Ghazala Hosni H. 
Published: May 2024

AbstractAlthough the Nile is one of the largest rivers in the world and played a central role in ancient Egyptian life, little is known about its response to climatic change during the Holocene. Here we present a framework for the evolution of the Egyptian Nile, demonstrating how climatic and environmental changes have shaped the landscape of the Egyptian Nile Valley over the past 11,500 years, including the civilization of ancient Egypt (~5,000 to 2,000 years ago). Using data from over 80 sediment cores drilled in a transect spanning the Nile Valley near Luxor, pinned in time by 48 optically stimulated luminescence ages, we reconstruct the dynamics of the Nile River during the Holocene in the vicinity of UNESCO World Heritage sites such as Karnak and Luxor temples. According to our reconstruction, valley incision occurred from the start of the record until approximately 4,000 years ago and then rapidly shifted to massive floodplain aggradation. We argue that this relatively abrupt change in the riverine landscape near Luxor from the Middle to Late Holocene was linked to a shift towards a drier regional hydroclimate around this time. Such a dramatic change in river sediment dynamics could have had local agro-economic consequences.
The chromosome-level genome assembly of the dwarfing apple interstock Malus hybrid ‘SH6’
Authors: Li Jinrong , Cai Huacheng , Peng Haixu , Deng Yulin , Zhou Shijie , Tian Ji , Zhang Jie , Hu Yujing , Qin Xiaoxiao , Yao Yuncong , Zheng Yi , Wang Sen 
Published: May 2024

AbstractMalus hybrid ‘SH6’ (M. honanensis × M. domestica)is a commonly used apple interstock in China, known for its excellent dwarfing characteristics and cold tolerance. In this study, a combined strategy utilizing PacBio HiFi, Hi-C and parental resequencing data were employed to assemble two haploid genomes for ‘SH6’. After chromosome anchoring, the final hapH genome size was 596.63 Mb, with a contig N50 of 34.38 Mb. The hapR genome was 649.37 Mb, with a contig N50 of 36.84 Mb. Further analysis predicted that repeated sequences made up 59.69% and 62.52% of the entire genome, respectively. Gene annotations revealed 45,435 genes for hapH and 48,261 genes for hapR. Combined with genomic synteny we suggest that the hapR genome originates from its maternal parent M. domestica cv. Ralls Janet, while the hapH genome comes from its paternal parent, M. honanensis. The assembled genome significantly contributes to the discovery of genes associated with apple dwarfing and the molecular mechanisms governing them.
A multimodal machine learning model for predicting dementia conversion in Alzheimer’s disease
Authors: Lee Min-Woo , Kim Hye Weon , Choe Yeong Sim , Yang Hyeon Sik , Lee Jiyeon , Lee Hyunji , Yong Jung Hyeon , Kim Donghyeon , Lee Minho , Kang Dong Woo , Jeon So Yeon , Son Sang Joon , Lee Young-Min , Kim Hyug-Gi , Kim Regina E. Y. , Lim Hyun Kook 
Published: May 2024

AbstractAlzheimer’s disease (AD) accounts for 60–70% of the population with dementia. Mild cognitive impairment (MCI) is a diagnostic entity defined as an intermediate stage between subjective cognitive decline and dementia, and about 10–15% of people annually convert to AD. We aimed to investigate the most robust model and modality combination by combining multi-modality image features based on demographic characteristics in six machine learning models. A total of 196 subjects were enrolled from four hospitals and the Alzheimer’s Disease Neuroimaging Initiative dataset. During the four-year follow-up period, 47 (24%) patients progressed from MCI to AD. Volumes of the regions of interest, white matter hyperintensity, and regional Standardized Uptake Value Ratio (SUVR) were analyzed using T1, T2-weighted-Fluid-Attenuated Inversion Recovery (T2-FLAIR) MRIs, and amyloid PET (αPET), along with automatically provided hippocampal occupancy scores (HOC) and Fazekas scales. As a result of testing the robustness of the model, the GBM model was the most stable, and in modality combination, model performance was further improved in the absence of T2-FLAIR image features. Our study predicts the probability of AD conversion in MCI patients, which is expected to be useful information for clinician’s early diagnosis and treatment plan design.
A recurrent Gaussian quantum network for online processing of quantum time series
Authors: De Prins Robbe , Van der Sande Guy , Bienstman Peter 
Published: May 2024

AbstractOver the last decade, researchers have studied the interplay between quantum computing and classical machine learning algorithms. However, measurements often disturb or destroy quantum states, requiring multiple repetitions of data processing to estimate observable values. In particular, this prevents online (real-time, single-shot) processing of temporal data as measurements are commonly performed during intermediate stages. Recently, it was proposed to sidestep this issue by focusing on tasks with quantum output, eliminating the need for detectors. Inspired by reservoir computers, a model was proposed where only a subset of the internal parameters are trained while keeping the others fixed at random values. Here, we also process quantum time series, but we do so using a Recurrent Gaussian Quantum Network (RGQN) of which all internal interactions can be trained. As expected, this increased flexibility yields higher performance in benchmark tasks. Building on this, we show that the RGQN can tackle two quantum communication tasks, while also removing some hardware restrictions of the currently available methods. First, our approach is more resource efficient to enhance the transmission rate of quantum channels that experience certain memory effects. Second, it can counteract similar memory effects if they are unwanted, a task that could previously only be solved when redundantly encoded input signals could be provided. Finally, we run a small-scale version of the last task on Xanadu’s photonic processor Borealis.
Projected patterns of land uses in Africa under a warming climate
Authors: Yahaya Ibrahim , Xu Runhong , Zhou Jian , Jiang Shan , Su Buda , Huang Jinlong , Cheng Jing , Dong Zhibo , Jiang Tong 
Published: May 2024

AbstractLand-use change is a direct driver of biodiversity loss, projection and future land use change often consider a topical issue in response to climate change. Yet few studies have projected land-use changes over Africa, owing to large uncertainties. We project changes in land-use and land-use transfer under future climate for three specified time periods: 2021–2040, 2041–2060, and 2081–2100, and compares the performance of various scenarios using observational land-use data for the year 2020 and projected land-use under seven Shared Socioeconomic Pathways Scenarios (SSP): SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP4-3.4, SSP4-6.0 and SSP5-8.5 from 2015 to 2100 in Africa. The observational land-use types for the year 2020 depict a change and show linear relationship between observational and simulated land-use with a strong correlation of 0.89 (P < 0.01) over Africa. Relative to the reference period (1995–2014), for (2021–2040), (2041–2060), (2081–2100), barren land and forest land are projected to decrease by an average of (6%, 11%, 16%), (9%, 19%, 38%) respectively, while, crop land, grassland and urban land area are projected to increase by (36%, 58%, and 105%), (4%, 7% and 11%), and (139%, 275% and 450%) respectively. Results show a substantial variations of land use transfer between scenarios with major from barren land to crop land, for the whole future period (2015–2100). Although SSP4-3.4 project the least transfer. Population and GDP show a relationship with cropland and barren land. The greatest conversion of barren land to crop land could endanger biodiversity and have negative effects on how well the African continent's ecosystem’s function.
Distribution and pathogen prevalence of field-collected ticks from south-western Korea: a study from 2019 to 2022
Authors: Kim Kwang gon , Hwang Da jeong , Park Jung wook , Ryu Mi geum , Kim Yujin , Yang So-Jin , Lee Ji-Eun , Lee Gi seong , Lee Ju Hye , Park Ji sun , Seo Jung mi , Kim Sun-hee 
Published: May 2024

AbstractHard ticks are known vectors of various pathogens, including the severe fever with thrombocytopenia syndrome virus, Rickettsia spp., Coxiella burnetii, Borrelia spp., Anaplasma phagocytophilum, and Ehrlichia spp. This study aims to investigate the distribution and prevalence of tick-borne pathogens in southwestern Korea from 2019 to 2022. A total of 13,280 ticks were collected during the study period, with H. longicornis accounting for 86.1% of the collected ticks. H. flava, I. nipponensis and A. testudinarium comprised 9.4%, 3.6%, and 0.8% of the ticks, respectively. Among 983 pools tested, Rickettsia spp. (216 pools, 1.6% MIR) were the most prevalent pathogens across all tick species, with R. japonica and R. monacensis frequently detected in I. nipponensis and Haemaphysalis spp., respectively. Borrelia spp. (28 pools, 0.2% MIR) were predominantly detected in I. nipponensis (27 pools, 13.8% MIR, P < 0.001). Co-infections, mainly involving Rickettsia monacensis and Borrelia afzelii, were detected in I. nipponensis. Notably, this study identified R. monacensis for the first time in A. testudinarium in South Korea. These findings offer valuable insights into the tick population and associated pathogens in the region, underscoring the importance of tick-borne disease surveillance and prevention measures.
The development of an extended Weibull model with applications to medicine, industry and actuarial sciences
Authors: Imran Muhammad , Alsadat Najwan , Tahir M. H. , Jamal Farrukh , Elgarhy Mohammed , Ahmad Hijaz , Johannssen Arne 
Published: May 2024

AbstractThis paper delves into the theoretical and practical exploration of the complementary Bell Weibull (CBellW) model, which serves as an analogous counterpart to the complementary Poisson Weibull model. The study encompasses a comprehensive examination of various statistical properties of the CBellW model. Real data applications are carried out in three different fields, namely the medical, industrial and actuarial fields, to show the practical versatility of the CBellW model. For the medical data segment, the study utilizes four data sets, including information on daily confirmed COVID-19 cases and cancer data. Additionally, a Group Acceptance Sampling Plan (GASP) is designed by using the median as quality parameter. Furthermore, some actuarial risk measures for the CBellW model are obtained along with a numerical illustration of the Value at Risk and the Expected Shortfall. The research is substantiated by a comprehensive numerical analysis, model comparisons, and graphical illustrations that complement the theoretical foundation.
Cerebrovascular disease emerges with age and Alzheimer’s disease in adults with Down syndrome
Authors: Lao Patrick , Edwards Natalie , Flores-Aguilar Lisi , Alshikho Mohamad , Rizvi Batool , Tudorascu Dana , Rosas H. Diana , Yassa Michael , Christian Bradley T. , Mapstone Mark , Handen Benjamin , Zimmerman Molly E. , Gutierrez Jose , Wilcock Donna , Head Elizabeth , Brickman Adam M. 
Published: May 2024

AbstractAdults with Down syndrome have a genetic form of Alzheimer’s disease (AD) and evidence of cerebrovascular disease across the AD continuum, despite few systemic vascular risk factors. The onset and progression of AD in Down syndrome is highly age-dependent, but it is unknown at what age cerebrovascular disease emerges and what factors influence its severity. In the Alzheimer’s Biomarker Consortium-Down Syndrome study (ABC-DS; n = 242; age = 25–72), we estimated the age inflection point at which MRI-based white matter hyperintensities (WMH), enlarged perivascular spaces (PVS), microbleeds, and infarcts emerge in relation to demographic data, risk factors, amyloid and tau, and AD diagnosis. Enlarged PVS and infarcts appear to develop in the early 30s, while microbleeds, WMH, amyloid, and tau emerge in the mid to late 30s. Age-residualized WMH were higher in women, in individuals with dementia, and with lower body mass index. Participants with hypertension and APOE-ε4 had higher age-residualized PVS and microbleeds, respectively. Lifespan trajectories demonstrate a dramatic cerebrovascular profile in adults with Down syndrome that appears to evolve developmentally in parallel with AD pathophysiology approximately two decades prior to dementia symptoms.
Identity and inequality misperceptions, demographic determinants and efficacy of corrective measures
Authors: Arin K. Peren , Mazrekaj Deni , Thum Marcel , Lacomba Juan A. , Lagos Francisco 
Published: May 2024

AbstractBy conducting two waves of large-scale surveys in the United Kingdom and Germany, we investigate the determinants of identity and inequality misperceptions. We first show that people substantially overestimate the share of immigrants, Muslims, people under the poverty line, and the income share of the richest. Moreover, women, lower-income, and lower-educated respondents generally have higher misperceptions. Only income share misperceptions are associated more with people who place themselves on the left of the political spectrum. In contrast, the other three misperceptions are more prevalent among those who place themselves to the right. We then attempt to correct misperceptions by conducting a classic controlled experiment. Specifically, we randomly assign respondents into a treatment group informed about their initial misperceptions and a control group left uninformed. Our results indicate that information treatments had some corrective effects on misperceptions in Germany but were ineffective in the United Kingdom. Moreover, information treatments in Germany were more effective for men, centrists, and highly educated respondents. There is also no evidence of spill-over effects: correcting one misperception does not have corrective effects for the other misperceptions.
Molecular evidence for a new endemic species of Acartia (Copepoda, Calanoida) from the Southeast Pacific coast
Authors: Mesas Andrés , Aguilera Víctor M. , González Carolina E. , Giesecke Ricardo , Escribano Rubén , Vargas Cristian A. 
Published: May 2024

AbstractThe loss of biodiversity in marine populations is one of the consequences of the increased events of extreme environmental conditions in the oceans, which can condition the persistence of populations to future scenarios of climate change. Therefore, it is extremely necessary to explore and monitor the genetic diversity of natural populations. In the Southeast Pacific Ocean (SEPO), specifically on the coast of Chile, the presence of the copepod Acartia tonsa has been indicated solely using morphological evidence, due to the absence of genetic information. In the present work, the genetic diversity, population structure and phylogenetic position within the genus Acartia, of populations identified morphologically as A. tonsa, was evaluated by amplification of the mitochondrial cytochrome c oxidase subunit I and nuclear marker 18 s. Our results showed that the populations identified as A. tonsa correspond to a new monophyletic group endemic to SEPO (GMYC = 1.00; PTP = 0.95). The populations showed moderate to high genetic diversity with an incipient structuring between populations and biogeographic zones. Our results suggest that despite the homogenizing effect of the Humboldt Current, isolation by distance and contrasting environmental conditions at different geographic scales have an important influence on the genetic diversity of zooplankton in the SEPO region.
Individual diet variability shapes the architecture of Antarctic benthic food webs
Authors: Sporta Caputi Simona , Kabala Jerzy Piotr , Rossi Loreto , Careddu Giulio , Calizza Edoardo , Ventura Matteo , Costantini Maria Letizia 
Published: May 2024

AbstractAntarctic biodiversity is affected by seasonal sea-ice dynamics driving basal resource availability. To (1) determine the role of intraspecific dietary variability in structuring benthic food webs sustaining Antarctic biodiversity, and (2) understand how food webs and the position of topologically central species vary with sea-ice cover, single benthic individuals’ diets were studied by isotopic analysis before sea-ice breakup and afterwards. Isotopic trophospecies (or Isotopic Trophic Units) were investigated and food webs reconstructed using Bayesian Mixing Models. As nodes, these webs used either ITUs regardless of their taxonomic membership (ITU-webs) or ITUs assigned to species (population-webs). Both were compared to taxonomic-webs based on taxa and their mean isotopic values. Higher resource availability after sea-ice breakup led to simpler community structure, with lower connectance and linkage density. Intra-population diet variability and compartmentalisation were crucial in determining community structure, showing population-webs to be more complex, stable and robust to biodiversity loss than taxonomic-webs. The core web, representing the minimal community ‘skeleton’ that expands opportunistically while maintaining web stability with changing resource availability, was also identified. Central nodes included the sea-urchin Sterechinus neumayeri and the bivalve Adamussium colbecki, whose diet is described in unprecedented detail. The core web, compartmentalisation and topologically central nodes represent crucial factors underlying Antarctica’s rich benthic food web persistence.
Effectiveness of innovative chest compression on the emergency department stretcher by an alternative method: a randomized controlled crossover trial
Authors: Charungwatthana Nawaphon , Laohakul Pavita , Tangsuwanaruk Theerapon , Wittayachamnankul Borwon 
Published: May 2024

AbstractComparison of the three methods standing-on-a-stool (SS), one knee kneeling on a stretcher (KS), and kneeling at the same height as the patient’s bed on the kneeling stool (KK) to evaluate the yielded of highest CPR quality and rescuer comfortability. A prospective randomized cross-over study which compares the three different rescuer positions for their effectiveness of chest compression. Conducted at a tertiary care between 19 and 22 Aug 2022. Emergency personnel aged 18 years or older, who completed the AHA-approved BLS course. The chest compression data was obtained by the ALIVE AED manikin® and AED reporting system. The information on the CPR quality and post-test questionnaires assessing the participants’ preference, satisfaction and modified Borg’s scale score was collected. The three methods shown no statistically significant difference in adequate chest compression depth (percentage). KK was not superior than SS at chest compression rate (P = 0.05). The adequate full chest recoil achieved with KK and KS were significantly higher than that of SS. However, there were no statistical difference between the three methods in the modified Borg’s scale score. Based on the satisfying score, the rescuers preferred KK to either SS (p 0.007) or KS (p 0.012). The three methods shown no statistically significant difference in adequate chest compression depth (percentage). Still, both KK and KS provided more adequate chest recoil, so we would recommend using these two methods in the ED.Clinical trial registry: This study was retrospective registration in thaiclinicaltrials.org (TCTR20230119002, 19/1/2023).
Geometric phase analysis of magnetic skyrmion lattices in Lorentz transmission electron microscopy images
Authors: Denneulin Thibaud , Kovács András , Boltje Raluca , Kiselev Nikolai S. , Dunin-Borkowski Rafal E. 
Published: May 2024

AbstractMagnetic skyrmions are quasi-particles with a swirling spin texture that form two-dimensional lattices. Skyrmion lattices can exhibit defects in response to geometric constraints, variations of temperature or applied magnetic fields. Measuring deformations in skyrmion lattices is important to understand the interplay between the lattice structure and external influences. Geometric phase analysis (GPA) is a Fourier-based image processing method that is used to measure deformation fields in high resolution transmission electron microscopy (TEM) images of crystalline materials. Here, we show that GPA can be applied quantitatively to Lorentz TEM images of two-dimensional skyrmion lattices obtained from a chiral magnet of FeGe. First, GPA is used to map deformation fields around a 5–7 dislocation and the results are compared with the linear theory of elasticity. Second, rotation angles between skyrmion crystal grains are measured and compared with angles calculated from the density of dislocations. Third, an orientational order parameter and the corresponding correlation function are calculated to describe the evolution of the disorder as a function of applied magnetic field. The influence of sources of artifacts such as geometric distortions and large defoci are also discussed.