bluuebunny/crossref_metadata_2025_split huggingface dataset:
Scale-free characteristics of the global marine food web
Authors: Jordán Ferenc , Zhou Mingliang , Huo Xumeng , Cai Yanpeng , Sun Jun , Xu Yan 
Published: June 2023

Abstract
The scale-free characteristics of marine food webs reflect the network structural interrelationship, which is ecologically important. Nevertheless, the existence of scale-free networks in marine ecosystems has not been thoroughly discussed. Here, we identify the spatial-temporal pattern of scale-free characteristics and explore the correlation between relevant food web parameters at different scale-free levels. Marine food webs around the globe do not strictly exhibit scale-free characteristics in most regions, and only below 5% of the food webs enter the "strongest fit" level of the scale-free network. We also find food webs in the polar regions indicate relatively high goodness of fit to scale-free networks and state a high latitude dominance hypothesis. The upwelling ecosystem related to ocean currents is prone to form a scale-free web, which exhibits periodic scale-free characteristics. The correlation analysis show that intensified human activities and ocean warming both hinder the formation of food webs with scale-free structures.
Role of DCLK1/Hippo Pathway in Type II Alveolar Epithelial Cells Differentiation in Acute Respiratory Distress Syndrome
Authors: Chen Xiao-Yue , Kao Ching , Chang Jer-Hwa , Lee Yueh-Lun , Laiman Vincent , Chung Kian Fan , Bhavsar Pankaj K. , Heriyanto Didik Setyo , Chuang Kai-Jen , Chuang Hsiao-Chi 
Published: June 2023

Abstract
Background
Delay in type II alveolar epithelial cell (AECII) regeneration has been linked to higher mortality in patients with acute respiratory distress syndrome (ARDS). However, the interaction between Doublecortin-like kinase 1 (DCLK1) and the Hippo signaling pathway in ARDS-associated AECII differentiation remains unclear. Therefore, the objective of this study was to understand the role of the DCLK1/Hippo pathway in mediating AECII differentiation in ARDS.
Materials and methods
AECII MLE-12 cells were exposed to 0, 0.1, or 1 µg/mL of lipopolysaccharide (LPS) for 6 and 12 hours. In the mouse model, C57BL/6JNarl mice were intratracheally (i.t.) injected with 0 (control) or 7.5 mg/kg LPS and were euthanized for lung collection on days 3 and 7.
Results
We found that LPS induced AECII differentiation by reducing surfactant protein C (SPC) and p53 while increasing T1α (podoplanin) and E-cadherin at 12 hours (p < 0.05). Concurrently, dynamic YAP/TAZ regulation was observed in LPS-exposed AECII over the 12-hour period. Inhibition of YAP consistently decreased cell levels of SPC, claudin 4 (CLDN-4), galectin 3 (LGALS-3), and p53 (p < 0.05) while increasing transepithelial electrical resistance (TEER) at 6 hours. Furthermore, DCLK1 expression was reduced in isolated human AECII of ARDS, consistent with the results in LPS-exposed AECII at 6 hours and mouse SPC-positive (SPC+) cells after 3-day LPS exposure (p < 0.05). We confirmed that DCLK1 dephosphorylated YAP by downregulating (p < 0.05) or overexpressing DCLK1 in AECII.
Conclusions
We conclude that DCLK1 activated Hippo signaling components of YAP/TAZ that modulate AECII-to-AECI differentiation in an LPS-induced ARDS model.
Spatial working memory in a disappearing object task is impaired in female but not male dogs with chronic osteoarthritis
Authors: Smith Melissa , Murrell Joanna C. , Mendl Michael 
Published: June 2023

Abstract

Chronic pain in humans is associated with impaired working memory but it is not known whether this is the case in long-lived companion animals, such as dogs, who are especially vulnerable to developing age-related chronic pain conditions. Pain-related impairment of cognitive function could have detrimental effects on an animal’s ability to engage with its owners and environment or to respond to training or novel situations, which may in turn affect its quality of life. This study compared the performance of 20 dogs with chronic pain from osteoarthritis and 21 healthy control dogs in a disappearing object task of spatial working memory. Female neutered osteoarthritic dogs, but not male neutered osteoarthritic dogs, were found to have lower predicted probabilities of successfully performing the task compared to control dogs of the same sex. This shows that chronic pain from osteoarthritis may be associated with impaired working memory in dogs, a result which parallels findings from studies of human chronic pain disorders. That female dogs may be particularly prone to these effects warrants further investigation.
A Novel Three-dimensional Multilayer Electroencephalography Paradigm
Authors: Ekpar Frank 
Published: June 2023

Abstract

Contemporary electroencephalography systems operate on a two-dimensional single-layer paradigm where signals from multiple layers of neuronal populations under an electrode are aggregated and recorded by that single electrode, leading to noisy signals and a lack of insight into neurological processes and keeping brain-to-brain communication, practical brain-computer interfaces and a host of applications in domains ranging from medicine to computing out of reach. Here, we introduce a novel three-dimensional multilayer electroencephalography (3D Multilayer EEG) paradigm – unlike the contemporary single-layer or two-dimensional (2D Single-layer EEG) paradigm – that leverages a nature-inspired conceptual framework in which approximations to carefully selected features of the source of the bio-signals are harnessed for characterization and manipulation of the underlying biological system. Effected through the simultaneous capture of distinct signal streams from multiple layers of neurons, this novel multilayer EEG paradigm could lead to effective computer-mediated brain-to-brain communication systems, a clearer understanding of neurological processes both in normal functioning and in disease as well as several orders of magnitude improvements in the information transfer rate in brain-computer interface systems – making these systems practical – as well as enabling a broad range of novel applications in domains ranging from medicine to social interactions, human factors including workplace optimization, economics, generic computing and human-machine interactions. Recent work demonstrating the direct imaging of signals propagating through myelinated axons and direct evidence that scalp EEG recordings can detect subcortical electrophysiological activity confirms the correctness of the principles underpinning our framework. We demonstrate the effectiveness of our novel 3D Multilayer EEG paradigm by formulating the null and alternative hypotheses for simultaneous multilayer EEG signal capture and relying on the results of analysis of a set of carefully designed experimental measurements to falsify the null hypothesis and validate the alternative hypothesis.
A novel fluorescent sensor for rifampicin based on the bio-inspired molecularly imprinted polymer-AgInS 2 /ZnS quantum dots
Authors: Rasoulzadeh Farzaneh , Amjadi Mohammad 
Published: June 2023

Abstract
A fluorescent sensing material based on the ternary core-shell quantum dots with outstanding optical properties and a bio-inspired molecularly imprinted polymer (MIP) as a recognition element has been prepared for selective detection of rifampicin (RFP). Firstly, AgInS2/ZnS core/shell quantum dots (ZAIS QDs) were synthesized by a hydrothermal process. Then, the fluorescent sensor was prepared by coating these QDs by a dopamine-based MIP layer. The fluorescence of MIP@ZAIS QDs was quenched by RFP as a result of the photoinduced electron transfer process. The quenching constant was much higher for MIP@ZAIS QDs than the non-imprinted polymer@QDs, indicating that MIP@ZAIS QDs could selectively recognize RFP. Under the optimized conditions, the sensor had a good linear relationship at the RFP concentration range of 5.0 to 300 nM and the limit of detection was 1.25 nM. It also showed good recoveries ranging from 98–101%, for analysis of human plasma samples. The method is simple and effective for the detection of RFP and offers a practical application for the rapid investigation of human plasma samples.
Male histone deacetylase 6 (HDAC6) knockout mice have enhanced ventilatory responses to hypoxic challenge
Authors: Getsy Paulina M. , Coffee Gregory A. , Kelley Thomas J. , Lewis Stephen J. 
Published: June 2023

Abstract
Histone deacetylase 6 (HDAC6) is a class II histone deacetylase that is predominantly localized in the cytoplasm of cells. HDAC6 associates with microtubules, regulating acetylation of tubulin and other proteins. The possibility that HDAC6 participates in hypoxic signaling is supported by evidence that (1) hypoxic gas challenges cause microtubule depolymerization, (2) expression of hypoxia inducible factor alpha (HIF)-1α is regulated by microtubule alterations in response to hypoxia, and (3) inhibition of HDAC6 prevents HIF-1α expression and protects tissue from hypoxic/ischemic insults. The aim of this study was to address whether the absence of HDAC6 alters ventilatory responses during and/or after hypoxic gas challenges (10% O2, 90% N2 for 15 min) in adult male wild-type (WT) C57BL/6 mice and HDAC6 knock-out (KO) mice. Key findings were that (1) baseline values for frequency of breathing, tidal volume, inspiratory and expiratory times and end expiratory pause were different between KO mice and WT mice, (2) ventilatory responses during hypoxic challenge were more robust in KO mice than WT mice for parameters including frequency of breathing, minute ventilation, inspiratory and expiratory durations, peak inspiratory and expiratory flows, inspiratory and expiratory drives, and (3) responses upon return to room-air were markedly different in KO mice than WT mice for frequency of breathing, minute ventilation, inspiratory and expiratory durations, end expiratory (but not end inspiratory) pauses, peak inspiratory and expiratory flows, and inspiratory or expiratory drives. These data suggest that HDAC6 may have a fundamentally important role in regulating the neural responses to hypoxia.
Autonomic nervous system modulation during self-induced non-ordinary states of consciousness
Authors: Oswald Victor , Vanhaudenhuyse Audrey , Annen Jitka , Martial Charlotte , Bicego Aminata , Rousseaux Floriane , Sombrun Corine , Harel Yan , Faymonville Marie-Elisabeth , Laureys Steven , Jerbi Karim , Gosseries Olivia 
Published: June 2023

Abstract
Self-induced cognitive trance (SICT) is a voluntary non-ordinary consciousness (NOC) characterized by a lucid yet narrowed awareness of the external surroundings. It involves a hyper-focused immersive experience of flow, expanded inner imagery, modified somatosensory processing, and an altered perception of self and time. SICT is gaining attention due to its potential clinical applications. Similar states of NOC, such as meditation, hypnosis, and psychedelic experiences, have been reported to induce changes in the autonomic nervous system (ANS). However, the functioning of the ANS during SICT remains poorly understood. In this study, we aimed to investigate the impact of SICT on the cardiac and respiratory signals of 25 expert participants proficient in SICT. To accomplish this, we measured various metrics of heart rate variability (HRV) and respiration rate variability (RRV) in three different conditions: resting state, SICT, and a mental imagery task. Subsequently, we employed a machine learning framework utilizing a linear discriminant analysis classifier and a cross-validation scheme to identify the features that exhibited the best discrimination between these three conditions. The results revealed that during SICT, participants experienced an increased heart rate and a decreased level of high-frequency (HF) HRV compared to the resting state and control conditions. Additionally, specific increases in respiratory amplitude, phase ratio, and RRV were observed during SICT in comparison to the other conditions. These findings suggest that SICT is associated with a reduction in parasympathetic activity, indicative of a hyperarousal state of the ANS during SICT.
New method of fixturing the low rigidity parts by adhesive clamping
Authors: Panc Nicolae Alin , Bocaneț Vlad , Vilău Cristian , Chezan Horea , Popan Alexandru , Conțiu Glad 
Published: June 2023

Abstract
The problem of clamping complex or low stiffness parts in technically and economically advantageous conditions is of interest for many manufacturing companies. An emerging method for this type of parts is fixing with adhesive. This paper proposes a new adhesive fixing method for low rigidity parts, using adhesive tape. The use of adhesive tape minimizes the vibrations induced by the tool in the workpiece and minimizes chatter. This method, although simple and cheap, has not been considered before. The validation of this fixing method was done after a series of tests to determine the holding capacity and stability of the fixed part during the machining process. Therefore, a fixture was designed and manufactured to determine the tensile and shear load capacity of adhesive tapes. Two types of parts from different materials and shapes were machined to determine the stability of the fixed part during machining. After determining the dimensional, shape and positional accuracy, the method was found to be valid. The method has a high potential for clamping parts with low rigidity for machining.
Group comparison based on genetic information reveals lineage-specific therapeutic vulnerabilities in acute myeloid leukemia
Authors: Nakahara Jakushin , Yamamoto Keita , Yabushita Tomohiro , Chinen Takumi , Ito Kei , Takeda Yutaka , Kitagawa Daiju , Goyama Susumu 
Published: June 2023

Abstract

Cancer is a genetic disease with specific mutations or fusions. Therapies targeting cancer cell-specific essential genes are expected to have efficient anticancer effects with fewer side effects. To explore such cancer cell-specific vulnerabilities, we established a two-group comparison system to predict essential genes in each cancer subtype using the data from the Cancer Dependency Map (DepMap). We applied this analytical method to acute myeloid leukemia (AML) and identified PCYT1A and BCL2L1 as a specific vulnerability in MLL-rearranged AML and TP53-mutated AML, respectively. Interestingly, further investigation revealed that PCYT1A is in fact a critical regulator in monocytic AML including those with MLL-rearrangements, and BCL2L1 is essential in acute erythroid leukemia in which TP53 is frequently mutated. These results highlighted the importance of cell of origin, rather than the genetic aberrations alone, to identify subtype-specific vulnerabilities in AML. The DepMap-based two-group comparison approach could accelerate the discovery of subtype-specific therapeutic targets in diverse cancers.
WITHDRAWN: STAPLE: A land use/-cover change model concerning spatiotemporal dependency and properties related to landscape evolution
Authors: Geng Jiachen , Cheng Changxiu , Shen Shi , Dai Kaixuan , Zhang Tianyuan 
Published: June 2023

Abstract

Cellular automata (CA) based models are among the practical tools to simulate the spatiotemporal evolution of landscape induced by the land use/-cover change (LUCC). Existing models have been struggling to comprehensively handle the intricate spatiotemporal driving relationships amid the nonlinear LUCC process, inevitably leaving obstacles to promote the simulation accuracy. Besides, the landscape patterns, which are both the causes and consequences of various ecological processes, are not considered in most models, making them struggled to support the decision making on regional development strategies. Aiming at overcoming these obstacles, a novel land use/-cover change model concerning spatiotemporal dependency and properties related to landscape evolution (STAPLE) is proposed in this paper. A potential generating module establishing the nonlinear spatiotemporal driving relationship and a spatial allocating module employing a landscape-based CA are integrated for a more realistic LUCC simulation. As a case study, the proposed model is applied in Zhengzhou, China to assess its performance. It is indicated that the STAPLE model achieved a higher simulation accuracy compared with the degraded models. Moreover, the landscape properties, i.e., the compactness and proximity of the patches, are effectively manipulated, which is verified by calculating the corresponding landscape indices. Furthermore, the STAPLE model is applied to explore a low-ecological-risk landscape under different future scenarios in 2035 and 2050. An infilling and remote development strategy is beneficial for Zhengzhou to control the landscape ecological risk induced by urban expansion. The STAPLE model provides a reproducible tool for policy-makers to support decision-making and achieve sustainable development.
Enhanced Medullary and Extramedullary Granulopoiesis Sustain the Inflammatory Response in Lupus Nephritis
Authors: Zervopoulou Eleni , Grigoriou Maria , Doumas Stavros A , Yiannakou Danae , Pavlidis Pavlos , Gasparoni Gilles , Walter Jörn , Filia Anastasia , Gakiopoulou Harikleia , Banos Aggelos , Mitroulis Ioannis , Boumpas Dimitrios T 
Published: June 2023

Abstract

In order to meet the increased demand for effector cells in the periphery, systemic inflammation promotes medullary and extramedullary myelopoiesis. Extramedullary hematopoiesis (EMH) is emerging as a key player for tissue injury in systemic autoimmune disorders. In Systemic Lupus Erythematosus (SLE), deregulation of hematopoiesis is characterized by myeloid skewing and trained immunity with priming of proinflammatory ‘immune trained’-hematopoietic stem and progenitor cells (HSPCs). Here, by the use of the NZBW/F1 lupus-prone model we demonstrate that in diseased mice, splenic EMH is enhanced and skewed towards myeloid cell production correlating with lupus nephritis (LN) activity. Transcriptomic analysis shows that splenic HSPC carry a higher inflammatory potential compared to their bone marrow (BM) counterparts. Further induction of trained immunity, through β-glucan administration, exacerbates splenic EMH, accentuates myeloid skewing and worsenes LN. Methylomic analysis of BM-derived HSPCs demonstrates myeloid skewing which in part is driven by epigenetic tinkering. Importantly, transcriptomic analysis of human SLE BM-derived HSPCs demonstrates similar findings to those observed in diseased mice. Our results suggest that both EMH and trained immunity contribute to SLE by sustaining the systemic inflammatory response and increasing the risk for flare.
An Improved Real-Time Detection Algorithm based on Frequency Interpolation
Authors: Shi Heping , Yang Zikai , Shi Jin 
Published: June 2023

Abstract
Real-time monitoring of heart rate (HR), i.e., extraction of heart rate variability (HRV), plays an important role in diagnosis and prevention of cardiovascular diseases. Compared with traditional contact monitoring devices, the use of continuous wave (CW) Doppler radar to monitor HRV does not require contact and is not sensitive to light and temperature, which makes it more and more popular. To monitor the HRV based on CW Doppler radar, the time window must be shortened to less than 5 seconds, which will lead to the spectrum leakage and degrade the measurement accuracy of HRV. To solve this problem, a custom CW Doppler radar has been developed in an integrated fashion on a single PCB, whose transmitting frequency and power of the radar are 24 GHz and 3 dBm, respectively. Furthermore, four frequency interpolation algorithms are introduced to compare their extraction accuracy. Experiments are performed on three subjects and results show that the Quinn algorithm can obtain best HRV extraction results compared with other algorithms. Specially, the average HRV extraction error is 3.61% using the Quinn algorithm.
Mental health impact of cuts to local government spending on Cultural, Environmental and Planning services in England: a longitudinal ecological study
Authors: Fahy Katie , Alexiou Alex , Daras Kostas , Mason Kate , Bennett Davara , Taylor-Robinson David , Barr Ben 
Published: June 2023

Abstract
Background
Over the past decade, there have been significant and unequal cuts to local authority (LA) budgets, across England. Cultural, environmental and planning (CEP) budgets have been cut by 17% between 2011 and 2019. This funding supports services such as parks, leisure centres, community development and libraries, all of which have potential to influence population mental health. We therefore investigated whether cuts to CEP services have affected mental health outcomes and the extent to which they have contributed to mental health inequalities between areas.
Methods
Using fixed effects regression applied to longitudinal LA-level data in England, we assessed whether trends in CEP spend were associated with trends in mental health outcomes, between 2011 and 2019. The exposure was CEP spend and the primary outcome was the LA-average Small Area Mental Health Index (SAMHI). Additionally, we considered subcategories of CEP spend as secondary exposures, and antidepressant prescription rate and self-reported anxiety levels as secondary outcomes, both aggregated to LA-level. We adjusted all models for confounders and conducted subgroup analysis to examine differential mental health effects of spending cuts based on the level of area deprivation.
Results
The average decrease in CEP spend of 15% over the period was associated with a 0.036 (95% CI: 0.005, 0.067) increase in SAMHI score, indicating worsening mental health. Amongst subcategories of CEP spending, cuts to planning and development services impacted mental health trends the most, with a 15% reduction in spend associated with a 0.018 (95% CI: 0.005, 0.031) increase in the SAMHI score. The association between cuts in CEP and deteriorating mental health was greater in more affluent areas.
Conclusion
Cuts to spending on cultural, environmental, planning and development services were associated with worsening population mental health in England. Impacts were driven by cuts to planning and development services in particular. Reinvesting in these services may contribute to improved public mental health.
Mycorrhizal associations drive the tradeoff between plant biomass and soil carbon accumulations in forest ecosystems under N deposition and warming
Authors: Yang Kai , Zhang Qian , Wang Qiqi , Gao Tian , Wang Geoff , Zhu Jiaojun 
Published: June 2023

Abstract
Forest ecosystems store ca. 80% of the carbon (C) in terrestrial ecosystems1–2, but their long-term C sequestration partly depends on how plant biomass and soil C stocks will respond to global changes. Although the stimulation of plant growth by global change drivers such as nitrogen (N) deposition, elevated CO2, and warming has been widely observed3–5, the response of soil C stock to global changes remains uncertain. Here, we conducted a meta-analysis on 3050 pairwise observations of plant and soil C-related data from 372 experiments worldwide. We found that plant biomass and soil C stock increased more under elevated CO2 than under N deposition and warming. Under N deposition and warming, soil C stock depended on mycorrhizal associations, decreasing in forests dominated by arbuscular mycorrhizal (AM) tree species while increasing in forests dominated by ectomycorrhizal (ECM) tree species. These results suggest a mycorrhizae-mediated tradeoff between plant biomass and soil C sequestration in forest ecosystems under N deposition and warming conditions.