bluuebunny/crossref_metadata_2025_split huggingface dataset:
Biochar-based Bacillus subtilis inoculant for enhancing plants disease prevention: microbiota response and root exudates regulation
Authors: Deng Zihe , Wang Jianwen , He Yanhui , Tu Zhuo , Tian Fei , Li Haijie , Wu Zhansheng , An Xiongfang 
Published: December 2023

AbstractPlants regulate root exudates to form the composition of rhizosphere microbial community and resist disease stress. Many studies advocate intervention with biochar (BC) and exogenous microbe to enhance this process and improve plant defenses. However, the mechanism by which BC mediates exogenous microorganisms to enhance root exudate-soil microbial defensive feedback remains unclear. Here, a BC-based Bacillus subtilis SL-44 inoculant (BC@SL) was prepared to investigate the defensive feedback mechanism for plants, which enhanced plant growth and defense more than BC or SL-44 alone. BC@SL not only strengthened the direct inhibition of Rhizoctonia solani Rs by solving the problem of reduced viability of a single SL-44 inoculant but also indirectly alleviated the Rs stress by strengthening plant defensive feedback, which was specifically manifested by the following: (1) increasing the root resistance enzyme activities (superoxide dismutase up to 3.5 FC); (2) increasing the abundance of beneficial microbe in soil (0.38–16.31% Bacillus); and (3) remodeling the composition of root exudates (palmitic acid 3.95–6.96%, stearic acid 3.56–5.93%, 2,4 tert-butylphenol 1.23–2.62%, increasing citric acid 0.94–1.81%, and benzoic acid 0.97–2.13%). The mechanism reveals that BC@SL can enhance the positive regulatory effect between root exudates and microorganisms by optimizing their composition. Overall, BC@SL is a stable and efficient new solid exogenous soil auxiliary, and this study lays the foundation for the generalization and application of green pesticides.
Graphical Abstract
Deep learning approximations for non-local nonlinear PDEs with Neumann boundary conditions
Authors: Boussange Victor , Becker Sebastian , Jentzen Arnulf , Kuckuck Benno , Pellissier Loïc 
Published: December 2023

AbstractNonlinear partial differential equations (PDEs) are used to model dynamical processes in a large number of scientific fields, ranging from finance to biology. In many applications standard local models are not sufficient to accurately account for certain non-local phenomena such as, e.g., interactions at a distance. Non-local nonlinear PDE models can accurately capture these phenomena, but traditional numerical approximation methods are infeasible when the considered non-local PDE is high-dimensional. In this article we propose two numerical methods based on machine learning and on Picard iterations, respectively, to approximately solve non-local nonlinear PDEs. The proposed machine learning-based method is an extended variant of a deep learning-based splitting-up type approximation method previously introduced in the literature and utilizes neural networks to provide approximate solutions on a subset of the spatial domain of the solution. The Picard iterations-based method is an extended variant of the so-called full history recursive multilevel Picard approximation scheme previously introduced in the literature and provides an approximate solution for a single point of the domain. Both methods are mesh-free and allow non-local nonlinear PDEs with Neumann boundary conditions to be solved in high dimensions. In the two methods, the numerical difficulties arising due to the dimensionality of the PDEs are avoided by (i) using the correspondence between the expected trajectory of reflected stochastic processes and the solution of PDEs (given by the Feynman–Kac formula) and by (ii) using a plain vanilla Monte Carlo integration to handle the non-local term. We evaluate the performance of the two methods on five different PDEs arising in physics and biology. In all cases, the methods yield good results in up to 10 dimensions with short run times. Our work extends recently developed methods to overcome the curse of dimensionality in solving PDEs.
Combining Paleohydrology and Least-Cost Analyses to Assess the Vulnerabilities of Ancestral Pueblo Communities to Water Insecurity in the Jemez Mountains, New Mexico
Authors: Aiuvalasit Michael J. , Jorgeson Ian A. 
Published: December 2023

AbstractWe developed a new approach to identify vulnerabilities to water insecurity across entire archaeological culture areas by combining a paleohydrological model of the sensitivites of hydrological systems to droughts with least-cost analyses of the costs to acquire domestic water. Using a custom Python script integrated into ArcGIS Pro software, we calculated the pairwise one-way cost in time for walking between 225 water sources and 5,446 Ancestral Pueblo cultural sites across the Jemez and Pajarito Plateaus of the Jemez Mountains, New Mexico. This allowed us to identify whether periodic hydrological droughts occurring between AD 1100 and 1700 increased water acquisition costs across these regions. We found that hydrological droughts increased travel times in both regions to durations exceeding modern standards for water insecurity. Beginning in the fourteenth century, greater underlying hydrogeological sensitivities to droughts and the decline of a dual-residence pattern caused by population losses made the remaining aggregated communities of the Pajarito Plateau much more vulnerable to water insecurity than those on the Jemez Plateau. This would have upended long-standing relationships between communities and water on the Pajarito Plateau during a time when socioeconomic integration across the northern Rio Grande Valley pulled people toward valley bottoms.
Annual estimates of global and national CO2 emissions from fossil fuels: Tracking revisions to the United Nations energy statistics database input energy data
Authors: Briggs Connor , Gilfillan Dennis , Hefner Matthew , Marland Eric , Marland Gregg 
Published: December 2023

Abstract
Estimates of global and national emissions of carbon dioxide (CO2) are important for scientific understanding and public policy on global climate change. Estimates published annually often see revisions of estimates from previous years. Revisions of data on CO2 emissions reflect revisions of the energy data from which CO2 emissions are estimated. Learning is taking place as missing values are compiled, estimated values are revised, and data management systems are updated. Revisions are a frequent feature of the database. Revisions are widespread among countries, commodities, and transactions. We have examined 11 annual reports of the United Nations Energy Statistics Database (those published from 2010 to 2020) to see in the detailed statistics what values are being changed and what are the magnitudes and patterns of change. They are most common in recent years, among developed countries, and among data on liquid fuels. Revisions are generally small and there are no indications of systematic manipulation or bias. Revisions of specific numbers are believed to represent improvements in accuracy but lack of revisions does not point toward accuracy. This examination of revisions does not permit by itself a quantitative estimate of the data uncertainty but it does suggest that the estimates of global and national totals of CO2 emissions are generally consistent and that both absolute values and trends are reliable over time and sufficiently accurate for scientific understanding and public policy.
A steerable robot walker driven by two actuators
Authors: Li Jiaji , Liu Chenhao , Nguyen Ken , McCarthy J. Michael 
Published: December 2023

Abstract
This article describes a robot walker based on a new single degree-of-freedom six-bar leg mechanism that provides rectilinear, non-rotating, movement of the foot. The walker is statically stable and requires only two actuators, one for each side, to provide effective walking movement on a flat surface. We use Curvature Theory to design a four-bar linkage with a flat-sided coupler curve and then adds a translating link so that walker foot follows this coupler curve in rectilinear movement. A prototype walker was constructed that weighs 1.6 kg, is 180 mm tall, and travels at 162 mm/s. This is an innovative legged robot that has a simple reliable design.
IF YOU’RE AN EGALITARIAN … SO WHAT?
Authors: Pleasants Nigel 
Published: December 2023

AbstractG. A. Cohen is justly acclaimed for his penetrating and searching critique of the commanding Rawlsian liberal paradigm in contemporary political philosophy. He is also well known for his fervent advocacy of a radical view of economic equality, namely, that “justice requires (virtually) unqualified equality itself.” This essay focuses on two issues at the heart of Cohen’s critique, namely, his argument that economic equality is a moral as well as a political responsibility, and his interrogatory question: “If you’re an egalitarian, how come you’re so rich?” I take up critics’ objection that Cohen’s arguments for what economic egalitarianism requires are overly morally demanding. I also present a puzzle about the critical reception of Cohen’s work: Given the amount and quality of engagement with his arguments on what egalitarianism would look like in a future just society, how come there’s been such scant attention to his reflections on the predicament of the “rich egalitarian” in current-day unjust society? The essay culminates in a tentative answer to this question.
EQUALITY’S DEMANDS ARE REASONABLE
Authors: Arneson Richard 
Published: December 2023

AbstractThere are various egalitarian moral doctrines. They differ in the requirements they impose on institutions and social practices and on individual conduct. This essay sketches two versions of egalitarian social justice and claims that the requirements they impose should strike us as reasonable, all things considered. One is welfarist egalitarianism, a cousin of classical utilitarianism. This version requires bringing about good quality lives for people and fair (equal) distribution of this good across persons. A notable feature of welfarist egalitarianism is that it accommodates the seemingly antiegalitarian claim that it does not matter in itself how one person’s condition compares to that of another, so a fortiori it does not matter in itself whether or not one person’s condition compares to that of others in the one particular way of being equal. The other version is relational or freedom-oriented egalitarianism, which holds that we should above all ensure that people are free to live as they choose and relate as equals, without social hierarchy. In the latter half of the twentieth century, John Rawls developed a powerful articulation of relational egalitarian justice. This essay sketches the two rival egalitarianisms with a view to showing their respective moral attractiveness and to suggesting that the welfarist version has greater moral attraction.
THE SOCIALISM OF THE RICH: EGALITARIANISM, WEALTH, AND PRIVILEGE IN ACADEMIC PHILOSOPHY
Authors: Meadowcroft John 
Published: December 2023

AbstractThis essay explains the prevalence of egalitarian beliefs among academic philosophers, individuals who enjoy significant wealth and privilege. I argue that their egalitarianism does not present a “paradox of conviction,” as G. A. Cohen contends, but follows logically from the institutional structure of academic philosophy. This structure creates a “veil of insignificance” wherein philosophy is a moral performance that incentivizes the adoption of egalitarian beliefs. Philosophers also view the world from behind what is termed a “veil of privilege” that incentivizes a public commitment to egalitarianism as a means of distancing themselves from the role of privilege in their life and encourages the hubristic assumption that the practical problems of socialism can be easily overcome with effort or ingenuity. Identity-protective motivated reasoning means that evidence conflicting with egalitarian beliefs is avoided, ignored, or dismissed. These dynamics are reinforced by established actors who gatekeep the profession.
TWO DEMANDS UPON LUCK EGALITARIANS
Authors: Mack Eric 
Published: December 2023

AbstractI offer two objections to luck egalitarianism. The no-adequate-account objection takes note of the egalitarian insistence that the disvalue of inequality is only one of a plurality of values or disvalues that needs to be considered in arriving at a judgment about the ranking of alternative distributions of welfare. This turn to pluralism places a reasonable demand upon luck egalitarianism to provide an account of how the different sorts of values or disvalues that are supposed to attach to available distributions of welfare are to be aggregated or weighed against one another in that ranking procedure. I contend that the prospects for developing such an account are dim and that some salient responses to this objection misfire. The churlishness-envy objection against luck egalitarianism is that this doctrine countenances envy directed toward the faultless good fortune of others. This objection places a reasonable demand on luck egalitarians to formulate a version of their doctrine that does not underwrite envious responses toward those who gain through brute good luck. I contend that the most auspicious path toward satisfying the demand not to underwrite churlish envy advances a luck egalitarianism that asymmetrically affirms the badness of arbitrary disadvantage rather than the badness of both arbitrary disadvantage and arbitrary advantage. Since this is the strategy pursued in Shlomi Segall’s Why Inequality Matters, I offer critiques of Segall’s initial and revised versions of asymmetrical egalitarianism in support of my conclusion that luck egalitarianism seems unable to rebut or sidestep the churlishness-envy objection. I conclude that luck egalitarianism seems unable to satisfy either of the two reasonable demands upon it that I raise.
Precise large deviations for a multidimensional risk model with regression dependence structure
Authors: Liu Yang , Fu Ke-Ang , Chen Zhenlong 
Published: December 2023

AbstractIn this paper, we consider a nonstandard multidimensional risk model, in which the claim sizes $\{\vec{X}_k, k\ge 1\}$ form an independent and identically distributed random vector sequence with dependent components. By assuming that there exists the regression dependence structure between inter-arrival time and the claim-size vectors, we extend the regression dependence to a more practical multidimensional risk model. For the univariate marginal distributions of claim vectors with consistently varying tails, we obtain the precise large deviation formulas for the multidimensional risk model with the regression size-dependent structure.
Crimes of Dispassion: Autonomous Weapons and the Moral Challenge of Systematic Killing
Authors: Renic Neil , Schwarz Elke 
Published: December 2023

AbstractSystematic killing has long been associated with some of the darkest episodes in human history. Increasingly, however, it is framed as a desirable outcome in war, particularly in the context of military AI and lethal autonomy. Autonomous weapons systems, defenders argue, will surpass humans not only militarily but also morally, enabling a more precise and dispassionate mode of violence, free of the emotion and uncertainty that too often weaken compliance with the rules and standards of war. We contest this framing. Drawing on the history of systematic killing, we argue that lethal autonomous weapons systems reproduce, and in some cases intensify, the moral challenges of the past. Autonomous violence incentivizes a moral devaluation of those targeted and erodes the moral agency of those who kill. Both outcomes imperil essential restraints on the use of military force.
A point-free perspective on lax extensions and predicate liftings
Authors: Goncharov Sergey , Hofmann Dirk , Nora Pedro , Schröder Lutz , Wild Paul 
Published: December 2023

AbstractLax extensions of set functors play a key role in various areas, including topology, concurrent systems, and modal logic, while predicate liftings provide a generic semantics of modal operators. We take a fresh look at the connection between lax extensions and predicate liftings from the point of view of quantale-enriched relations. Using this perspective, we show in particular that various fundamental concepts and results arise naturally and their proofs become very elementary. Ultimately, we prove that every lax extension is induced by a class of predicate liftings; we discuss several implications of this result.
Cultural adaptations of group CBT for depressed clients from diverse backgrounds: A systematic review
Authors: Kunorubwe Taf 
Published: December 2023

Abstract
Cognitive behavioural therapy (CBT) is considered a frontline treatment for major depressive disorder (MDD) and is recommended as a preferred option in many Western healthcare settings. CBT has proven effective for clients from the majority population in Western countries, but to meet the needs of diverse clients it may require adaptation. The benefits of culturally adapted group CBT (CA-GCBT) for clients from diverse backgrounds remains uncertain. The objective of this review is to systematically identify, evaluate, and integrate the existing empirical literature on CA-GCBT for depressed clients from diverse backgrounds. A comprehensive search was conducted in April 2021 across various databases, including, MEDLINE, PsycINFO, Cinahl, Academic Search, and APA PsycArticle. Quantitative studies meeting the inclusion criteria resulted in a total of ten articles being included in the review. Results from the analysis revealed a statistically significant reduction in depressive symptoms following CA–GCBT in nine out of the ten studies, with one study providing descriptive results. Additionally, improvements were observed in dysfunctional beliefs, functioning, and quality of life ratings. These findings suggest promising outcomes for racially minoritised clients in Western countries and racial majority clients in non-Western countries. Adaptations in CA-GCBT primarily focus on modifying the group delivery, therapy content, staffing, processes, and client-specific factors. Overall, CA-GCBT shows promise as a treatment for depressed clients from diverse backgrounds. However, further evaluation is necessary to establish its efficacy in clinical practice more robustly, to identify which adaptations are most effective for specific populations and to explore the experiences of implementing or attending such group interventions.

Key learning aims

(1)
To explore the benefits of CA-GCBT for depressed clients from diverse backgrounds. Although CBT is a frontline treatment for MDD and often delivered in group format, it remains unclear whether CA-GCBT is beneficial.

(2)
To summarise findings about the benefits of CA-GCBT for racially minoritised clients in Western countries and racial majority clients in non-Western countries.

(3)
To outline the modifications made to common CBT group approaches to enhance cultural responsiveness for clients from diverse backgrounds.

(4)
To provide support to therapists, healthcare services, and broader healthcare structures seeking to implement evidence-based knowledge when adapting group CBT for diverse cultural groups. This enables them to modify existing group CBT protocols or consider specific CA-GCBT interventions.
Aortic aneurysms: current pathogenesis and therapeutic targets
Authors: Cho Min Ji , Lee Mi-Ran , Park Jong-Gil 
Published: December 2023

AbstractAortic aneurysm is a chronic disease characterized by localized expansion of the aorta, including the ascending aorta, arch, descending aorta, and abdominal aorta. Although aortic aneurysms are generally asymptomatic, they can threaten human health by sudden death due to aortic rupture. Aortic aneurysms are estimated to lead to 150,000 ~ 200,000 deaths per year worldwide. Currently, there are no effective drugs to prevent the growth or rupture of aortic aneurysms; surgical repair or endovascular repair is the only option for treating this condition. The pathogenic mechanisms and therapeutic targets for aortic aneurysms have been examined over the past decade; however, there are unknown pathogenic mechanisms involved in cellular heterogeneity and plasticity, the complexity of the transforming growth factor-β signaling pathway, inflammation, cell death, intramural neovascularization, and intercellular communication. This review summarizes the latest research findings and current pathogenic mechanisms of aortic aneurysms, which may enhance our understanding of aortic aneurysms.
Metallothionein 3 promotes osteoclast differentiation and survival by regulating the intracellular Zn2+ concentration and NRF2 pathway
Authors: Arisumi Shinkichi , Fujiwara Toshifumi , Yasumoto Keitaro , Tsutsui Tomoko , Saiwai Hirokazu , Kobayakawa Kazu , Okada Seiji , Zhao Haibo , Nakashima Yasuharu 
Published: December 2023

AbstractIn osteoclastogenesis, the metabolism of metal ions plays an essential role in controlling reactive oxygen species (ROS) production, mitochondrial biogenesis, and survival, and differentiation. However, the mechanism regulating metal ions during osteoclast differentiation remains unclear. The metal-binding protein metallothionein (MT) detoxifies heavy metals, maintains metal ion homeostasis, especially zinc, and manages cellular redox levels. We carried out tests using murine osteoclast precursors to examine the function of MT in osteoclastogenesis and evaluated their potential as targets for future osteoporosis treatments. MT genes were significantly upregulated upon differentiation from osteoclast precursors to mature osteoclasts in response to receptor activators of nuclear factor-κB (NF-κB) ligand (RANKL) stimulation, and MT3 expression was particularly pronounced in mature osteoclasts among MT genes. The knockdown of MT3 in osteoclast precursors demonstrated a remarkable inhibition of differentiation into mature osteoclasts. In preosteoclasts, MT3 knockdown suppressed the activity of mitogen-activated protein kinase (MAPK) and NF-κB signaling pathways upon RANKL stimulation, leading to affect cell survival through elevated cleaved Caspase 3 and poly (ADP-ribose) polymerase (PARP) levels. Additionally, ROS levels were decreased, and nuclear factor erythroid 2-related factor 2 (NRF2) (a suppressor of ROS) and the downstream antioxidant proteins, such as catalase (CAT) and heme oxygenase 1 (HO-1), were more highly expressed in the MT3 preosteoclast knockdowns. mitochondrial ROS, which is involved in mitochondrial biogenesis and the production of reactive oxygen species, were similarly decreased because cAMP response element-binding (CREB) and peroxisome proliferator-activated receptor γ coactivator 1β (PGC-1β) were less activated due to MT3 depletion. Thus, by modulating ROS through the NRF2 pathway, MT3 plays a crucial role in regulating osteoclast differentiation and survival, acting as a metabolic modulator of intracellular zinc ions.