bluuebunny/crossref_metadata_2025_split huggingface dataset:
Orbital and Millennial‐Scale Cycles Through the Hirnantian (Late Ordovician) in Southern China
Authors: Jin Siding , Cao Haiyang , Hou Mingcai , Wang Jiawei , Ma Chao , Liu Yu 
Published: January 2024

AbstractThe Hirnantian period, making the end of the Ordovician with significant mass extinctions and large ice‐sheets, is a critical interval for studying paleoclimate variations. This research represents the first cyclostratigraphic study of this period, utilizing high‐resolution (1 mm sampling rate) geochemical data from the ∼7‐m thick SH‐1 drill core, capturing the latest Ordovician glaciation. Our analysis identifies the presence of Milankovitch cycles with periods of 17–21, ∼33, and ∼100‐kyr, suggesting an optimal sedimentation rate of 3.1 m/Myr. Notably, we detected signals of millennial‐scale variability, aligning with the ∼1.5‐kyr Dansgaard‐Oeschger and ∼2.4‐kyr Hallstatt heliomagnetic cycles, even in deposits lacking visible laminae alternation. This finding bolsters the hypothesis of an external origin for these millennial‐scale features. Additionally, our reconstruction of sea‐level variations, using principal component analysis and sedimentary noise modeling, reveals two intervals of sea‐level fall and one sea‐level rise, linked to an astronomical forcing cycle of ∼1.2‐Myr. The obliquity band power‐total power ratios correspond to ∼1.2‐Myr periodicities for s4‐s3 term. The synchronization of ∼1.2‐Myr cycle minimum with a sea‐level drop (low PC1 value) suggests that glacio‐eustatic variations were influenced by ∼1.2‐Myr obliquity modulation cycles. This research enhances our understanding of glacio‐eustasy during the latest Ordovician from an astronomical perspective, offering valuable insights into the interplay between orbital cycles and Earth's paleoclimate.
Evidence of Sulfate‐Rich Fluid Alteration in Jezero Crater Floor, Mars
Authors: Siljeström Sandra , Czaja Andrew D. , Corpolongo Andrea , Berger Eve L. , Li An Y. , Cardarelli Emily , Abbey William , Asher Sanford A. , Beegle Luther W. , Benison Kathleen C. , Bhartia Rohit , Bleefeld Benjamin L. , Burton Aaron S. , Bykov Sergei V. , Clark Benton , DeFlores Lauren , Ehlmann Bethany L. , Fornaro Teresa , Fox Allie , Gómez Felipe , Hand Kevin , Haney Nikole C. , Hickman‐Lewis Keyron , Hug William F. , Imbeah Samara , Jakubek Ryan S. , Kah Linda C. , Kivrak Lydia , Lee Carina , Liu Yang , Martínez‐Frías Jesús , McCubbin Francis M. , Minitti Michelle , Moore Kelsey , Morris Richard V. , Núñez Jorge I. , Osterhout Jeffrey T. , Phua Yu Yu , Randazzo Nicolas , Hollis Joseph Razzell , Rodriguez Carolina , Roppel Ryan , Scheller Eva L. , Sephton Mark , Sharma Shiv K. , Sharma Sunanda , Steadman Kim , Steele Andrew , Tice Michael , Uckert Kyle , VanBommel Scott , Williams Amy J. , Williford Kenneth H. , Winchell Katherine , Wu Megan Kennedy , Yanchilina Anastasia , Zorzano Maria‐Paz 
Published: January 2024

AbstractSulfur plays a major role in martian geochemistry and sulfate minerals are important repositories of water. However, their hydration states on Mars are poorly constrained. Therefore, understanding the hydration and distribution of sulfate minerals on Mars is important for understanding its geologic, hydrologic, and atmospheric evolution as well as its habitability potential. NASA's Perseverance rover is currently exploring the Noachian‐age Jezero crater, which hosts a fan‐delta system associated with a paleolake. The crater floor includes two igneous units (the Séítah and Máaz formations), both of which contain evidence of later alteration by fluids including sulfate minerals. Results from the rover instruments Scanning Habitable Environments with Raman and Luminescence for Organics and Chemistry and Planetary Instrument for X‐ray Lithochemistry reveal the presence of a mix of crystalline and amorphous hydrated Mg‐sulfate minerals (both MgSO4·[3–5]H2O and possible MgSO4·H2O), and anhydrous Ca‐sulfate minerals. The sulfate phases within each outcrop may have formed from single or multiple episodes of water activity, although several depositional events seem likely for the different units in the crater floor. Textural and chemical evidence suggest that the sulfate minerals most likely precipitated from a low temperature sulfate‐rich fluid of moderate pH. The identification of approximately four waters puts a lower constraint on the hydration state of sulfate minerals in the shallow subsurface, which has implications for the martian hydrological budget. These sulfate minerals are key samples for future Mars sample return.
Crosstalk between autophagy and metabolism: implications for cell survival in acute myeloid leukemia
Authors: Chen Yongfeng , Chen Jia , Zou Zhenyou , Xu Linglong , Li Jing 
Published: January 2024

AbstractAcute myeloid leukemia (AML), a prevalent form of leukemia in adults, is often characterized by low response rates to chemotherapy, high recurrence rates, and unfavorable prognosis. A critical barrier in managing refractory or recurrent AML is the resistance to chemotherapy. Increasing evidence indicates that tumor cell metabolism plays a crucial role in AML progression, survival, metastasis, and treatment resistance. Autophagy, an essential regulator of cellular energy metabolism, is increasingly recognized for its role in the metabolic reprogramming of AML. Autophagy sustains leukemia cells during chemotherapy by not only providing energy but also facilitating rapid proliferation through the supply of essential components such as amino acids and nucleotides. Conversely, the metabolic state of AML cells can influence the activity of autophagy. Their mutual coordination helps maintain intrinsic cellular homeostasis, which is a significant contributor to chemotherapy resistance in leukemia cells. This review explores the recent advancements in understanding the interaction between autophagy and metabolism in AML cells, emphasizing their roles in cell survival and drug resistance. A comprehensive understanding of the interplay between autophagy and leukemia cell metabolism can shed light on leukemia cell survival strategies, particularly under adverse conditions such as chemotherapy. This insight may also pave the way for innovative targeted treatment strategies.
Anti-correlated feature selection prevents false discovery of subpopulations in scRNAseq
Authors: Tyler Scott R. , Lozano-Ojalvo Daniel , Guccione Ernesto , Schadt Eric E. 
Published: January 2024

AbstractWhile sub-clustering cell-populations has become popular in single cell-omics, negative controls for this process are lacking. Popular feature-selection/clustering algorithms fail the null-dataset problem, allowing erroneous subdivisions of homogenous clusters until nearly each cell is called its own cluster. Using real and synthetic datasets, we find that anti-correlated gene selection reduces or eliminates erroneous subdivisions, increases marker-gene selection efficacy, and efficiently scales to millions of cells.
Emergence of periodic circumferential actin cables from the anisotropic fusion of actin nanoclusters during tubulogenesis
Authors: Sekine Sayaka , Tarama Mitsusuke , Wada Housei , Sami Mustafa M. , Shibata Tatsuo , Hayashi Shigeo 
Published: January 2024

AbstractThe periodic circumferential cytoskeleton supports various tubular tissues. Radial expansion of the tube lumen causes anisotropic tensile stress, which can be exploited as a geometric cue. However, the molecular machinery linking anisotropy to robust circumferential patterning is poorly understood. Here, we aim to reveal the emergent process of circumferential actin cable formation in a Drosophila tracheal tube. During luminal expansion, sporadic actin nanoclusters emerge and exhibit circumferentially biased motion and fusion. RNAi screening reveals the formin family protein, DAAM, as an essential component responding to tissue anisotropy, and non-muscle myosin II as a component required for nanocluster fusion. An agent-based model simulation suggests that crosslinkers play a crucial role in nanocluster formation and cluster-to-cable transition occurs in response to mechanical anisotropy. Altogether, we propose that an actin nanocluster is an organizational unit that responds to stress in the cortical membrane and builds a higher-order cable structure.
Patterns of tropical forest understory temperatures
Authors: Ismaeel Ali , Tai Amos P. K. , Santos Erone Ghizoni , Maraia Heveakore , Aalto Iris , Altman Jan , Doležal Jiří , Lembrechts Jonas J. , Camargo José Luís , Aalto Juha , Sam Kateřina , Avelino do Nascimento Lair Cristina , Kopecký Martin , Svátek Martin , Nunes Matheus Henrique , Matula Radim , Plichta Roman , Abera Temesgen , Maeda Eduardo Eiji 
Published: January 2024

AbstractTemperature is a fundamental driver of species distribution and ecosystem functioning. Yet, our knowledge of the microclimatic conditions experienced by organisms inside tropical forests remains limited. This is because ecological studies often rely on coarse-gridded temperature estimates representing the conditions at 2 m height in an open-air environment (i.e., macroclimate). In this study, we present a high-resolution pantropical estimate of near-ground (15 cm above the surface) temperatures inside forests. We quantify diurnal and seasonal variability, thus revealing both spatial and temporal microclimate patterns. We find that on average, understory near-ground temperatures are 1.6 °C cooler than the open-air temperatures. The diurnal temperature range is on average 1.7 °C lower inside the forests, in comparison to open-air conditions. More importantly, we demonstrate a substantial spatial variability in the microclimate characteristics of tropical forests. This variability is regulated by a combination of large-scale climate conditions, vegetation structure and topography, and hence could not be captured by existing macroclimate grids. Our results thus contribute to quantifying the actual thermal ranges experienced by organisms inside tropical forests and provide new insights into how these limits may be affected by climate change and ecosystem disturbances.
A one-two punch targeting reactive oxygen species and fibril for rescuing Alzheimer’s disease
Authors: Wang Jiefei , Shangguan Ping , Chen Xiaoyu , Zhong Yong , Lin Ming , He Mu , Liu Yisheng , Zhou Yuan , Pang Xiaobin , Han Lulu , Lu Mengya , Wang Xiao , Liu Yang , Yang Huiqing , Chen Jingyun , Song Chenhui , Zhang Jing , Wang Xin , Shi Bingyang , Tang Ben Zhong 
Published: January 2024

AbstractToxic amyloid-beta (Aβ) plaque and harmful inflammation are two leading symptoms of Alzheimer’s disease (AD). However, precise AD therapy is unrealizable due to the lack of dual-targeting therapy function, poor BBB penetration, and low imaging sensitivity. Here, we design a near-infrared-II aggregation-induced emission (AIE) nanotheranostic for precise AD therapy. The anti-quenching emission at 1350 nm accurately monitors the in vivo BBB penetration and specifically binding of nanotheranostic with plaques. Triggered by reactive oxygen species (ROS), two encapsulated therapeutic-type AIE molecules are controllably released to activate a self-enhanced therapy program. One specifically inhibits the Aβ fibrils formation, degrades Aβ fibrils, and prevents the reaggregation via multi-competitive interactions that are verified by computational analysis, which further alleviates the inflammation. Another effectively scavenges ROS and inflammation to remodel the cerebral redox balance and enhances the therapy effect, together reversing the neurotoxicity and achieving effective behavioral and cognitive improvements in the female AD mice model.
Magnetoresistive-coupled transistor using the Weyl semimetal NbP
Authors: Rocchino Lorenzo , Balduini Federico , Schmid Heinz , Molinari Alan , Luisier Mathieu , Süß Vicky , Felser Claudia , Gotsmann Bernd , Zota Cezar B. 
Published: January 2024

AbstractSemiconductor transistors operate by modulating the charge carrier concentration of a channel material through an electric field coupled by a capacitor. This mechanism is constrained by the fundamental transport physics and material properties of such devices—attenuation of the electric field, and limited mobility and charge carrier density in semiconductor channels. In this work, we demonstrate a new type of transistor that operates through a different mechanism. The channel material is a Weyl semimetal, NbP, whose resistivity is modulated via a magnetic field generated by an integrated superconductor. Due to the exceptionally large electron mobility of this material, which reaches over 1,000,000 cm2/Vs, and the strong magnetoresistive coupling, the transistor can generate significant transconductance amplification at nanowatt levels of power. This type of device can enable new low-power amplifiers, suitable for qubit readout operation in quantum computers.
Overcoming small-bandgap charge recombination in visible and NIR-light-driven hydrogen evolution by engineering the polymer photocatalyst structure
Authors: Elsayed Mohamed Hammad , Abdellah Mohamed , Alhakemy Ahmed Zaki , Mekhemer Islam M. A. , Aboubakr Ahmed Esmail A. , Chen Bo-Han , Sabbah Amr , Lin Kun-Han , Chiu Wen-Sheng , Lin Sheng-Jie , Chu Che-Yi , Lu Chih-Hsuan , Yang Shang-Da , Mohamed Mohamed Gamal , Kuo Shiao-Wei , Hung Chen-Hsiung , Chen Li-Chyong , Chen Kuei-Hsien , Chou Ho-Hsiu 
Published: January 2024

AbstractDesigning an organic polymer photocatalyst for efficient hydrogen evolution with visible and near-infrared (NIR) light activity is still a major challenge. Unlike the common behavior of gradually increasing the charge recombination while shrinking the bandgap, we present here a series of polymer nanoparticles (Pdots) based on ITIC and BTIC units with different π-linkers between the acceptor-donor-acceptor (A-D-A) repeated moieties of the polymer. These polymers act as an efficient single polymer photocatalyst for H2 evolution under both visible and NIR light, without combining or hybridizing with other materials. Importantly, the difluorothiophene (ThF) π-linker facilitates the charge transfer between acceptors of different repeated moieties (A-D-A-(π-Linker)-A-D-A), leading to the enhancement of charge separation between D and A. As a result, the PITIC-ThF Pdots exhibit superior hydrogen evolution rates of 279 µmol/h and 20.5 µmol/h with visible (>420 nm) and NIR (>780 nm) light irradiation, respectively. Furthermore, PITIC-ThF Pdots exhibit a promising apparent quantum yield (AQY) at 700 nm (4.76%).
Atomistic simulation assisted error-inclusive Bayesian machine learning for probabilistically unraveling the mechanical properties of solidified metals
Authors: Mahata A. , Mukhopadhyay T. , Chakraborty S. , Asle Zaeem M. 
Published: January 2024

AbstractSolidification phenomenon has been an integral part of the manufacturing processes of metals, where the quantification of stochastic variations and manufacturing uncertainties is critically important. Accurate molecular dynamics (MD) simulations of metal solidification and the resulting properties require excessive computational expenses for probabilistic stochastic analyses where thousands of random realizations are necessary. The adoption of inadequate model sizes and time scales in MD simulations leads to inaccuracies in each random realization, causing a large cumulative statistical error in the probabilistic results obtained through Monte Carlo (MC) simulations. In this work, we present a machine learning (ML) approach, as a data-driven surrogate to MD simulations, which only needs a few MD simulations. This efficient yet high-fidelity ML approach enables MC simulations for full-scale probabilistic characterization of solidified metal properties considering stochasticity in influencing factors like temperature and strain rate. Unlike conventional ML models, the proposed hybrid polynomial correlated function expansion here, being a Bayesian ML approach, is data efficient. Further, it can account for the effect of uncertainty in training data by exploiting mean and standard deviation of the MD simulations, which in principle addresses the issue of repeatability in stochastic simulations with low variance. Stochastic numerical results for solidified aluminum are presented here based on complete probabilistic uncertainty quantification of mechanical properties like Young’s modulus, yield strength and ultimate strength, illustrating that the proposed error-inclusive data-driven framework can reasonably predict the properties with a significant level of computational efficiency.
Feasibility of using cross-sectional area of masticatory muscles to predict sarcopenia in healthy aging subjects
Authors: Janović Aleksa , Miličić Biljana , Antić Svetlana , Bracanović Đurđa , Marković-Vasiljković Biljana 
Published: January 2024

AbstractDetermination of sarcopenia is crucial in identifying patients at high risk of adverse health outcomes. Recent studies reported a significant decline in masticatory muscle (MM) function in patients with sarcopenia. This study aimed to analyze the cross-sectional area (CSA) of MMs on computed tomography (CT) images and to explore their potential to predict sarcopenia. The study included 149 adult subjects retrospectively (59 males, 90 females, mean age 57.4 ± 14.8 years) who underwent head and neck CT examination for diagnostic purposes. Sarcopenia was diagnosed on CT by measuring CSA of neck muscles at the C3 vertebral level and estimating skeletal muscle index. CSA of MMs (temporal, masseter, medial pterygoid, and lateral pterygoid) were measured bilaterally on reference CT slices. Sarcopenia was diagnosed in 67 (45%) patients. Univariate logistic regression analysis demonstrated a significant association between CSA of all MMs and sarcopenia. In the multivariate logistic regression model, only masseter CSA, lateral pterygoid CSA, age, and gender were marked as predictors of sarcopenia. These parameters were combined in a regression equation, which showed excellent sensitivity and specificity in predicting sarcopenia. The masseter and lateral pterygoid CSA can be used to predict sarcopenia in healthy aging subjects with a high accuracy.
The effect of environmental sustainability orientations and entrepreneurial orientations on the performance of greenhouses
Authors: Yaghoubi Farani Ahmad , Karimi Saeid , Sajedi Mina , Ataei Pouria 
Published: January 2024

AbstractThis research aimed to explore the effect of environmental sustainability and entrepreneurial orientations on the performance of greenhouses in Iran. It is a sort of descriptive-correlational research conducted by the survey methodology. The data collection instrument was a questionnaire whose validity was checked by a panel of entrepreneurship and environment experts, and its reliability was estimated by conducting a pilot study and calculating Cronbach’s alpha (α = 0.88–0.91). The statistical population was composed of all greenhouse units in Mahallat County in Markazi province, Iran (N = 405). The sample size was determined to be 197 greenhouses by Krejcie and Morgan’s table. The independent variables included environmental sustainability orientations (including the dimensions of environmental knowledge and awareness, practices, and commitment) and entrepreneurial orientation of greenhouse managers (including the dimensions of innovation, proactiveness, and risk-taking), and the dependent variable was the performance of greenhouses (including the dimensions of increasing customers, increasing sales, and increasing profitability). The results of structural equation modeling showed that the dimensions of environmental sustainability orientations and entrepreneurial orientations of the greenhouse managers were decisive factors in the performance dimensions of the greenhouses. Furthermore, the entrepreneurial orientations had a positive and significant effect on the environmental sustainability orientations.
Delineating the dispersal of Y-chromosome sub-haplogroup O2a2b-P164 among Austronesian-speaking populations
Authors: Luis Javier Rodriguez , Palencia-Madrid Leire , Runfeldt Göran , Garcia-Bertrand Ralph , Herrera Rene J. 
Published: January 2024

AbstractThis article reports on an exploration of the Y-chromosome sub-haplogroup O2a2b-P164 in Austronesian-speaking populations. Moderate to high abundance of the P 164 mutation is seen in the West Pacific including the Amis of Formosa (36%) and the Filipinos of Mindanao (50%) as well as in the Kiritimati of Micronesia (70%), and Tonga and Samoa of West Polynesia (54% and 33%, respectively), and it drops to low frequencies in populations of East Polynesia. The communities of Polynesia and Micronesia exhibit considerable inter- and intra-population haplotype sharing suggesting extensive population affinity. The observed affinities, as well as the ages and diversity values within the P 164 sub-haplogroup among Austronesian-speaking populations signal an ancestral migration route and relationships that link the Amis of Taiwan with distant communities in West and East Polynesia, Micronesia, and the Maori of New Zealand. High resolution sequencing of the Austronesian Y chromosome indicate that the P 164 lineage originated about 19,000 ya and then split into three branches separating the Ami aborigines, Southeast Asian and Polynesian/Micronesian populations about 4700 ya, roughly coinciding with the initiation of the Austronesian diaspora. The Y-chromosomes of all the Polynesian and Micronesian population examined belong to the new FT 257096 haplogroup.
Machine learning identifies SLC6A14 as a novel biomarker promoting the proliferation and metastasis of pancreatic cancer via Wnt/β-catenin signaling
Authors: Dang Cunshu , Bian Quan , Wang Fengbiao , Wang Han , Liang Zhipeng 
Published: January 2024

AbstractPancreatic cancer (PC) has the poorest prognosis compared to other common cancers because of its aggressive nature, late detection, and resistance to systemic treatment. In this study, we aimed to identify novel biomarkers for PC patients and further explored their function in PC progression. We analyzed GSE62452 and GSE28735 datasets, identifying 35 differentially expressed genes (DEGs) between PC specimens and non-tumors. Based on 35 DEGs, we performed machine learning and identified eight diagnostic genes involved in PC progression. Then, we further screened three critical genes (CTSE, LAMC2 and SLC6A14) using three GEO datasets. A new diagnostic model was developed based on them and showed a strong predictive ability in screen PC specimens from non-tumor specimens in GEO, TCGA datasets and our cohorts. Then, clinical assays based on TCGA datasets indicated that the expression of LAMC2 and SLC6A14 was associated with advanced clinical stage and poor prognosis. The expressions of LAMC2 and SLC6A14, as well as the abundances of a variety of immune cells, exhibited a significant positive association with one another. Functionally, we confirmed that SLC6A14 was highly expressed in PC and its knockdown suppressed the proliferation, migration, invasion and EMT signal via regulating Wnt/β-catenin signaling pathway. Overall, our findings developed a novel diagnostic model for PC patients. SLC6A14 may promote PC progression via modulating Wnt/β-catenin signaling. This work offered a novel and encouraging new perspective that holds potential for further illuminating the clinicopathological relevance of PC as well as its molecular etiology.