bluuebunny/crossref_metadata_2025_split huggingface dataset:
Involvement of Paired Immunoglobulin-Like Receptor B in Cognitive Dysfunction Through Hippocampal-Dependent Synaptic Plasticity Impairments in Mice Subjected to Chronic Sleep Restriction
Authors: Li Xuying , Zhai Qian , Gou Xingchun , Quan Minxue , Li Yansong , Zhang Xiaohua , Deng Bin , Tian Yi , Wang Qiang , Hou Lichao 
Published: November 2022

AbstractSleep loss is often associated with cognitive dysfunction. Alterations in the structure and function of synapses in the hippocampus are thought to underlie memory storage. Paired immunoglobulin-like receptor B (PirB) plays a negative role in various neurological diseases by inhibiting axon regeneration and synaptic plasticity. However, the contributions of PirB to the mechanisms underlying the changes in synaptic plasticity after sleep loss that ultimately promote deficits in cognitive function have not been well elucidated. Here, we showed that chronic sleep restriction (CSR) mice displayed cognitive impairment and synaptic deficits accompanied by upregulation of PirB expression in the hippocampus. Mechanistically, PirB caused the dysregulation of actin through the RhoA/ROCK2/LIMK1/cofilin signalling pathway, leading to abnormal structural and functional plasticity, which in turn resulted in cognitive dysfunction. PirB knockdown alleviated synaptic deficits and cognitive impairment after CSR by inhibiting the RhoA/ROCK2/LIMK1/cofilin signalling pathway. Moreover, we found that fasudil, a widely used ROCK2 inhibitor, could mimic the beneficial effect of PirB knockdown and ameliorate synaptic deficits and cognitive impairment, further demonstrating that PirB induced cognitive dysfunction after CSR via the RhoA/ROCK2/LIMK1/cofilin signalling pathway. Our study sheds new light on the role of PirB as an important mediator in modulating the dysfunction of synaptic plasticity and cognitive function via the RhoA/ROCK2/LIMK1/cofilin signalling pathway, which indicated that hippocampal PirB is a promising therapeutic target for counteracting cognitive impairment after CSR.Graphical AbstractThis illustration depicts the signalling pathway by PirB in mediating cognitive impairment and synaptic deficits in CSR mice. In the hippocampus of CSR mice, the expression level of PirB was significantly increased. In addition, CSR increases RhoA and ROCK2 levels and reduces levels of both LIMK1 and cofilin phosphorylation. PirB knockdown reverses cognitive impairment and synaptic plasticity disorders caused by CSR through the RhoA/ROCK2/LIMK1/cofilin signalling pathway
Has the IPCC’s revised vulnerability concept been well adopted?
Authors: Estoque Ronald C. , Ishtiaque Asif , Parajuli Jagadish , Athukorala Darshana , Rabby Yasin Wahid , Ooba Makoto 
Published: November 2022

AbstractIn the Third and Fourth Assessment Reports (TAR and AR4, respectively) by the Intergovernmental Panel on Climate Change (IPCC), vulnerability is conceived as a function of exposure, sensitivity, and adaptive capacity. However, in its Special Report on Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation (SREX) and Fifth Assessment Report (AR5), the IPCC redefined and separated exposure, and it reconceptualized vulnerability to be a function of sensitivity and capacity to cope and adapt. In this review, we found that the IPCC’s revised vulnerability concept has not been well adopted and that researchers’ preference, possible misinterpretation, possible confusion, and possible unawareness are among the possible technical and practical reasons. Among the issues that need further clarification from the IPCC is whether or not such a reconceptualization of vulnerability in the SREX/AR5 necessarily implies nullification of the TAR/AR4 vulnerability concept as far as the IPCC is concerned.
A comprehensive study of buckwheat husk co-pelletization for utilization via combustion
Authors: Joka Yildiz Magdalena , Cwalina Paweł , Obidziński Sławomir 
Published: November 2022

Abstract
Buckwheat husks are a valuable source of carbon and show the potential to be used as an energy source. However, due to low bulk density and low susceptibility to compaction, it is beneficial to use them in the form of co-pellets. The study presents comprehensive research detailing buckwheat husks’ potential for co-pelletization with oily (peanut husks) and dusty (senna leaves) agri-food wastes, whereas the effect of material parameters such as the amount of additive (10, 15, 20%) and the process parameters as the die rotational speed (170, 220, 270 rpm) on pellets’ quality (kinetic durability, bulk and particle density, degree of compaction) and the energy consumption of the pelletization process were examined. Ten percent of potato pulp as a binder was added to each pelletized mixture. It was found that an increase in the senna leaf content affects positively the kinetic durability of pellets. The fatty peanut husks have a negative effect on the pellets’ quality (measured by the kinetic durability and bulk density); however, both additions of senna leaves and peanut husks are lowering the energy consumption of the pelletizer. The highest quality pellets and the addition of 10% peanut husks to buckwheat husks (kinetic durability of 96%) and 20% of senna leaves to buckwheat husks (kinetic durability of 92%) obtained at 170 rpm were subjected to combustion in a fixed-bed unit, and the content of CO, CO2, NO, SO2, HCl, and O2 in the fuel gases was measured. The emission factors were higher than the Ecodesign limitations (CO > 500 mg·Nm−3, NO > 200 mg·Nm−3). The obtained results indicate that buckwheat husks can be successfully co-pelletized with other waste biomass; however, the pellets to be combusted require a boiler with improved air-supplying construction.
Identification of potential diagnostic and prognostic biomarkers for papillary thyroid microcarcinoma (PTMC) based on TMT-labeled LC–MS/MS and machine learning
Authors: Li J. , Mi L. , Ran B. , Sui C. , Zhou L. , Li F. , Dionigi G. , Sun H. , Liang N. 
Published: November 2022

Abstract
Objectives
To explore the molecular mechanisms underlying aggressive progression of papillary thyroid microcarcinoma and identify potential biomarkers.

Methods
Samples were collected and sequenced using tandem mass tag-labeled liquid chromatography–tandem mass spectrometry. Differentially expressed proteins (DEPs) were identified and further analyzed using Mfuzz and protein–protein interaction analysis (PPI). Parallel reaction monitoring (PRM) and immunohistochemistry (IHC) were performed to validate the DEPs.

Results
Five thousand, two hundred and three DEPs were identified and quantified from the tumor/normal comparison group or the N1/N0 comparison group. Mfuzz analysis showed that clusters of DEPs were enriched according to progressive status, followed by normal tissue, tumors without lymphatic metastases, and tumors with lymphatic metastases. Analysis of PPI revealed that DEPs interacted with and were enriched in the following metabolic pathways: apoptosis, tricarboxylic acid cycle, PI3K-Akt pathway, cholesterol metabolism, pyruvate metabolism, and thyroid hormone synthesis. In addition, 18 of the 20 target proteins were successfully validated with PRM and IHC in another 20 paired validation samples. Based on machine learning, the five proteins that showed the best performance in discriminating between tumor and normal nodules were PDLIM4, ANXA1, PKM, NPC2, and LMNA. FN1 performed well in discriminating between patients with lymph node metastases (N1) and N0 with an AUC of 0.690. Finally, five validated DEPs showed a potential prognostic role after examining The Cancer Genome Atlas database: FN1, IDH2, VDAC1, FABP4, and TG. Accordingly, a nomogram was constructed whose concordance index was 0.685 (confidence interval: 0.645–0.726).

Conclusions
PDLIM4, ANXA1, PKM, NPC2, LMNA, and FN1 are potential diagnostic biomarkers. The five-protein nomogram could be a prognostic biomarker.
Biosafety of inorganic nanomaterials for theranostic applications
Authors: Kang Moon Sung , Kwon Mina , Jang Hee Jeong , Jeong Seung Jo , Han Dong-Wook , Kim Ki Su 
Published: November 2022

Abstract
Recent advances in inorganic nanomaterial-based theranostics enabled imaging-guided molecular targeting and drug delivery, and various combinations of theranostic systems. The term “theranostics” is defined as diagnosis processed with therapy simultaneously with a specific connection between therapy and diagnosis. The inorganic nanomaterials, representatively carbon, metal, ceramic, and semiconductor-based nanomaterials, exhibit their unique characteristics to be used in theranostic applications. However, the unveiled human biosafety of nanomaterials for clinical use has become a major concern. Therefore, in this review, we compiled recent research on in vitro and in vivo biosafety of inorganic nanomaterials in various theranostic applications, along with a discussion of how the particle formulation, size, surface functionalization, test species, and test condition affect biocompatibility. Furthermore, the progress and challenges of the development of biocompatible inorganic nanomaterials for theranostic applications were discussed. In conclusion, with appropriate precautions on the biosafe condition to be administered, inorganic nanomaterials can be proposed to have excellent potential in the future theranostic application.
Using Macroeconomic Indicators to Enact an Ambitious Circular Economy
Authors: Pinyol Alberich Josep , Llorente-González Leandro J. , Ramezankhani Mohammad Javad , Bimpizas-Pinis Meletios , Lowe Benjamin H. 
Published: November 2022

AbstractThe circular economy has the potential to promote systemic change towards a sustainable future. However, the dominance of technical and market-oriented considerations has placed the circular economy as part of an eco-modernist agenda, which retains growth in gross domestic product as the overarching priority. In this context, we analyse 12 existing macroeconomic indicators, developed and implemented by governments and international organisations, and determine if they could enact alternative notions of circularity. Specifically, we focus on the performative role that indicators can play in both defining and surmounting such reductionist views, thus helping us to address the world we want to create. We find that many of these indicators are agents of the status quo, but that some could disrupt the omnipotence of GDP thereby getting the macroeconomic conditions right for a more ambitious understanding of the circular economy.
Democracy, epistemic agency, and AI: political epistemology in times of artificial intelligence
Authors: Coeckelbergh Mark 
Published: November 2022

AbstractDemocratic theories assume that citizens have some form of political knowledge in order to vote for representatives or to directly engage in democratic deliberation and participation. However, apart from widespread attention to the phenomenon of fake news and misinformation, less attention has been paid to how they are supposed to acquire that knowledge in contexts shaped by artificial intelligence and related digital technologies. While this topic can also be approached from an empirical angle, this paper contributes to supporting concerns about AI and democracy by looking at the issue through the lens of political epistemology, in particular using the concept of epistemic agency. It argues that artificial intelligence (AI) endangers democracy since it risks to diminish the epistemic agency of citizens and thereby undermine the relevant kind of political agency in democracy. It shows that next to fake news and manipulation by means of AI analysis of big data, epistemic bubbles and the defaulting of statistical knowledge endanger the epistemic agency of citizens when they form and wish to revise their political beliefs. AI risks to undermine trust in one’s own epistemic capacities and hinder the exercise of those capacities. If we want to protect the knowledge basis of our democracies, we must address these problems in education and technology policy.
Sexual and gender-based violence victims’ satisfaction of the support services through the holistic model of care in the Democratic Republic of Congo
Authors: Mugisho Gilbert M. , Maroyi Raha , Nabami Solange , Kasherwa Amani C. , Bitenga Ali , Mukwege Denis 
Published: November 2022

Abstract
Background
The quality-of-care assessment is an important indicator of the efficiency of a healthcare system. In the Democratic Republic of the Congo (DRC), despite the implementation of the holistic care model for the treatment of sexual and gender-based violence (SGBV) victims, little is known about the client’s perception of this model and its outcome. This study aimed to examine the expected and perceived satisfaction of service recipients through the One-Stop-Center model of health care in eastern DRC.

Methodology
This descriptive and analytical cross-sectional study was conducted at Panzi Hospital (PH), in eastern DRC. Data were collected by a mixed-methods approach, 64 Victims of Sexual Violence participated in individual (in-depth) interviews and 150 completed the Survey. The Kruskal–Wallis test was used to compare the mean item scores of sexual violence victims’ satisfaction.

Results
The findings from our qualitative analysis demonstrated that the victims admitted at PH had various expectations and needs on arrival depending on their social identity and residence locations. For instance, the VSVs coming from remote areas with ongoing armed conflicts mentioned concerns related to their security in the post-treatment period and the risks of re-victimization that this could incur. Conversely, those who came from the urban neighborhood, with relative security raised various concerns related to their legal reparation and ongoing access to other support services. With scores above 4, victims of sexual violence were extremely satisfied with the overall care provided and wished that PH could continue to support them mentally and financially for an effective reintegration into their communities. The Kruskal–Wallis analysis confirmed statistically significant differences (p < 0.1) in satisfaction with legal support based on the victims' residential locations, social support based on their age groups, occupational therapy based on their religious denominations, and accommodation based on their professional activity.

Conclusions
Results of this study suggest that victims’ satisfaction with support services is based on either the organizational frameworks of clinical or support services within the hospital and the victims’ social environment.
Generic workflow of groundwater flow simulations in geologically complicated domains with millions of unstructured grids
Authors: Liou Tai-Sheng , Huang Sung-Yang , Lin Chao-Yan , Huang Ting-Wei , Chung Chuan-Wei , Hsieh Pei-Shan , Lin Cheng-Kuo 
Published: November 2022

AbstractNumerical groundwater flow simulation involves manual and tedious pre-processing and post-processing procedures. Hence, this study developed a systematic and efficient workflow to alleviate model buildup and data-processing burdens, allowing researchers to focus on the application aspects of simulation results. This highly automatic workflow allows researchers to execute three-dimensional groundwater flow simulations in sites with complex hydrogeological conditions. Processes in the workflow are formed as a trilogy: building a hydrogeological conceptual model, generating a site-specific unstructured mesh and specifying simulation conditions, and executing the simulation and post-processing results. The workflow feasibility has been demonstrated by simulating the three-component (water, brine, and air) fluid flow in Huayu Islet, the only andesitic island of the basaltic Penghu archipelago, using TOUGH3 (Transport of Unsaturated Groundwater and Heat version 3) and its EOS7 (Equation of State #7) fluid module. Our self-developed mesh generator can produce a locally refined unstructured mesh with millions of grid cells that can capture the essential geological features of Huayu. It was found that, of the three scenarios considered, only the one using a fine mesh coupled with a two-phase Dirichlet boundary condition at the top surface could obtain a physically meaningful bowl-shaped fresh water and brine interface and reasonable transport pathway characteristics. In summary, the developed workflow serves as a practical methodology to authentically characterize the hydrogeologic mechanisms of a site with complicated geology.
Mining real estate ads and property transactions for building and amenity data acquisition
Authors: Chen Xinyu , Biljecki Filip 
Published: November 2022

AbstractAcquiring spatial data of fine and dynamic urban features such as buildings remains challenging. This paper brings attention to real estate advertisements and property sales data as valuable and dynamic sources of geoinformation in the built environment, but unutilised in spatial data infrastructures. Given the wealth of information they hold and their user-generated nature, we put forward the idea of real estate data as an instance of implicit volunteered geographic information and bring attention to their spatial aspect, potentially alleviating the challenge of acquiring spatial data of fine and dynamic urban features. We develop a mechanism of facilitating continuous acquisition, maintenance, and quality assurance of building data and associated amenities from real estate data. The results of the experiments conducted in Singapore reveal that one month of property listings provides information on 7% of the national building stock and about half of the residential subset, e.g. age, type, and storeys, which are often not available in sources such as OpenStreetMap, potentially supporting applications such as 3D city modelling and energy simulations. The method may serve as a novel means to spatial data quality control as it detects missing amenities and maps future buildings, which are advertised and transacted before they are built, but it exhibits mixed results in identifying unmapped buildings as ads may contain errors that impede the idea.
DISTRIBUTION OF r-FREE INTEGERS OVER A FLOOR FUNCTION SET
Authors: TANGSUPPHATHAWAT PINTHIRA , SRICHAN TEERAPAT , LAOHAKOSOL VICHIAN 
Published: November 2022

AbstractFor a positive integer
$r\geq 2$
, a natural number n is r-free if there is no prime p such that
$p^r\mid n$
. Asymptotic formulae for the distribution of r-free integers in the floor function set
$S(x):=\{\lfloor x/ n \rfloor :1\leq n\leq x\}$
are derived. The first formula uses an estimate for elements of
$S(x)$
belonging to arithmetic progressions. The other, more refined, formula makes use of an exponent pair and the Riemann hypothesis.
Sceptical theism, the parent analogy, and many goods
Authors: Reis de Oliveira Gabriel 
Published: November 2022

AbstractWilliam R. Rowe argues for the low probability of the existence of God given our ignorance of the goods that come from apparently gratuitous evils. After exploring this argument, I present Stephen Wykstra's response, which is known as ‘sceptical theism’, focusing on the evocation of the so-called ‘parent analogy’. According to the parent analogy, God's knowledge, compared to ours, is analogous to the comparison between a parent's knowledge and a one-month-old infant's. After pointing out some difficulties with this analogy, I develop an improved version of sceptical theism. My main point is that the most valuable disinterested love and awe for God can be best developed in a world with two evils: our ignorance about most of the justifying goods and the apparent divine absence to sufferers. Moreover, since disinterested love and awe for God bring numerous benefits to human beings, God has good reasons for creating a world with these two evils.
Evolution and Drivers of Energy Embodied in Intermediate and Final Trade Between China and the World
Authors: Xia Quanzhi , Han Mengyao , Wu Xiaofang 
Published: November 2022

AbstractThe increasing fragmentation of global supply chains has led to a new phase of international trade with intermediate products comprising a remarkable share. For China as the biggest energy consumer and trading nation, its energy use related to the trade of intermediate products has not yet been fully understood. To fill the gap, this study develops the concept of embodied energy resources to establish an all‐inclusive energy trade budget for China, from exploitation to intermediate production and to final consumption. By combining the input‐output analysis and structural decomposition analysis, the evolution and drivers of energy resources embodied in China's intermediate and final trade are systematically explored for the period 1995–2018. We find that energy resources embodied in China's intermediate trade grew faster than those in final trade. Mining stood out in intermediate trade, while Transport and Service were prominent in final trade. The Global North played a key role in China's trade for final consumption, whereas the Global South had a close relationship with China in production‐driven intermediate trade. Energy efficiency gains made more obvious contributions to saving energy resources embodied in intermediate trade, while production structure changes posed more evident impacts on energy resources embodied in final trade. Taking full account of trade heterogeneity, this study highlights the importance to distinguish intermediate trade from final trade, especially when the former accounted for around 80% of energy use embodied in China's international trade.
Enhancement of Oceanic Eddy Activity by Fine‐Scale Orographic Winds Drives High Productivity, Low Oxygen, and Low pH Conditions in the Santa Barbara Channel
Authors: Kessouri Fayçal , Renault Lionel , McWilliams James C. , Damien Pierre , Bianchi Daniele 
Published: November 2022

AbstractThe Santa Barbara Channel is one of the most productive regions of the California Current System. Yet, the physical processes that sustain this high productivity remain unclear. We use a high‐resolution physical‐biogeochemical model to show that submesoscale eddies generated by islands are energized by orographic effects on the wind, with significant impacts on nutrient, carbon, and oxygen cycles. These eddies are modulated by two co‐occurring air‐sea‐land interactions: transfer of wind energy to ocean currents that intensifies ocean eddies, and a wind‐current feedback that tends to dampen them. Here we show that the dampening is overwhelmed by fine scale wind patterns induced by the presence of surrounding capes and islands. The fine‐scale winds cause an additional transfer of momentum from the atmosphere to the ocean that energizes submesoscale eddies. This drives upward doming of isopycnals in the center of the channel, allowing a more efficient injection of nutrients to the surface, and triggering intense phytoplankton blooms that nearly double productivity relative to the case without fine‐scale winds. The intensification of the doming effect by the wind‐curl and submesoscale eddies pumps deep low oxygen, acidic waters to the center of the cyclonic eddies. These eddies are then transported away from the Channel into the California Current, where they impact a wider area along the central coast, with potential ecological consequences. Our study highlights the important role of air‐sea‐land interactions in modulating coastal processes, and suggests that submesoscale resolving models are required to correctly represent coastal processes and their ecological impacts.