Hegel contends that judgements are contradictory, finite and untrue. Prominent scholars argue that Hegel’s issue with judgements is resolved in the later stages of his Logic. Specifically, Ng suggests that this solution is found in Hegel’s discussion of life. In this article, I argue that not only does life fail to resolve Hegel’s problem with judgement—death highlights its insolubility. To support this claim, I examine Hegel’s discussion of judgements in the Logic, showing that judgements are inherently contradictory because they both unite and separate individuals and universals. Instead of being resolved retrospectively, I demonstrate that contradiction, finitude and untruth are intrinsic to judgements. Moreover, since judgements play a constitutive and determinative role in Hegel’s metaphysics, they pass their contradictions, finitude and untruth onto the objects they constitute. Specifically, I argue that for living beings, judgement is literally a matter of life and death, because the contradiction of judgements implies the finitude of the objects they constitute—namely, the perishability of things and the mortality of organisms.

Criminal actors are widely assumed to maintain a low profile, exerting power through coercion and clandestine networks. Scholarship addressing public action by criminal actors focuses largely on visible violence. However, an ample empirical record demonstrates that criminal actors also communicate publicly to broad audiences. To better understand this practice, my study focuses on campaigns of narco-messaging in Mexico. I ask: how do criminal actors represent themselves when they speak publicly? How does such self-portrayal interact with other practices of criminal governance and control? I identify three patterns of self-representation: Ruler of territory, Scourge of enemies, and Guardian of people. Overall, public communication expands the repertoires of criminal actors, offering ways to modify public perceptions of better-known practices such as costly signaling through violence. Different representations are deployed strategically in the contexts of establishing regimes of governance, maintaining regimes, and fighting criminal wars.

In the last two decades the study of random instances of constraint satisfaction problems (CSPs) has flourished across several disciplines, including computer science, mathematics and physics. The diversity of the developed methods, on the rigorous and non-rigorous side, has led to major advances regarding both the theoretical as well as the applied viewpoints. Based on a ceteris paribus approach in terms of the density evolution equations known from statistical physics, we focus on a specific prominent class of regular CSPs, the so-called occupation problems, and in particular on $r$-in-$k$ occupation problems. By now, out of these CSPs only the satisfiability threshold – the largest degree for which the problem admits asymptotically a solution – for the $1$-in-$k$ occupation problem has been rigorously established. Here we determine the satisfiability threshold of the $2$-in-$k$ occupation problem for all $k$. In the proof we exploit the connection of an associated optimization problem regarding the overlap of satisfying assignments to a fixed point problem inspired by belief propagation, a message passing algorithm developed for solving such CSPs.

Cheilopogon arcticeps (Günther, 1866) is recorded for the first time from the Indian coastal waters. Two specimens of C. arcticeps (158–167 mm SL) were collected from the Petuaghat fishing harbour of Purba Medinipur, West Bengal, India. The present paper reports the species for the first time from Indian waters and thus, the distributional range of the species is extended from Western Pacific Ocean to the Bay of Bengal, Indian Ocean. This paper provides more detailed information on the taxonomy and morphometric of the poorly known species.

Agricultural intensification has led to significant species losses and has been associated with a decline in ecosystem services provided by insects. In Asia, particularly in Lao PDR (Southeast Asia), biodiversity-friendly agricultural practices such as the production of organic crops have been promoted to address these challenges, although intensification has continued. In this study, we examined beetle community composition in three organic farms (using, for example, manure and compost and not employing synthetic fertilizers and pesticides) and three conventional farms (using, for example, synthetic fertilizers and insecticides) in Vientiane (Lao PDR). Our results indicate that total beetle abundance was similar between farm types, while species richness was greater, predators were over 18 times more abundant and insect pests were 9 times less abundant in organic compared to conventional farms. These findings can inform government organic farming policy in Lao PDR and the promotion of sustainable agriculture in Southeast Asia generally.

The safety of human-collaborative operations with robots depends on monitoring the external torque of the robot, in which there are toque sensor-based and torque sensor-free methods. Economically, the classic method for estimating joint external torque is the first-order momentum observer (MOB) based on a physic model without torque sensors. However, uncertainties in the dynamic model, which encompasses parameters identification error and joint friction, affect the torque estimation accuracy. To address this issue, this paper proposes using the backpropagation neural network (BPNN) method to estimate joint external torque without the delicate physical model by utilizing the powerful machine learning ability to handle the uncertainties of the MOB method and improve the accuracy of torque estimation. Using data obtained from the torque sensor to train the BPNN to build up a digital torque model, the trained BPNN can perceive force in practical applications without relying on the torque sensor. In the end, by contrast to the classic first-order MOB, the result demonstrates that BPNN achieves higher estimation accuracy compared to the MOB.

This study examines Luciano Berio's integration of twentieth-century linguistic and semiotic concepts in his works Sinfonia and Coro, focusing on the interplay between sound, meaning, and structure. It highlights Berio's exploration of the unconscious mind and the idea of ‘universality of experience', suggesting that humans may possess an innate musical ability similar to that of language. The article also discusses the concept of the ‘theatre of the mind', where Berio combines musical and textual elements to evoke images or situations for the audience's interpretation. Through an analysis of the third movement of Sinfonia and Coro, the study illustrates how Berio implicitly develops a system of signification that evokes meaning, showcasing both musical and textual productivity, along with the notion of ‘the infinite use of finite means’. This exploration contributes to understanding how twentieth-century linguistics and semiotics can inform contemporary music and signify meaning within it.

A central topic in mathematical logic is the classification of theorems from mathematics in hierarchies according to their logical strength. Ideally, the place of a theorem in a hierarchy does not depend on the representation (aka coding) used. In this paper, we show that the standard representation of compact metric spaces in second-order arithmetic has a profound effect. To this end, we study basic theorems for such spaces like a continuous function has a supremum and a countable set has measure zero. We show that these and similar third-order statements imply at least Feferman’s highly non-constructive projection principle, and even full second-order arithmetic or countable choice in some cases. When formulated with representations (aka codes), the associated second-order theorems are provable in rather weak fragments of second-order arithmetic. Thus, we arrive at the slogan that

$$ \begin{align*} {coding\ compact\ metric\ spaces\ in\ the\ language\ of\ second\text{-}order\ arithmetic\ can\ be\ as\ hard }\\ {as\ second\text{-}order\ arithmetic\ or\ countable\ choice}. \end{align*} $$

We believe every mathematician should be aware of this slogan, as central foundational topics in mathematics make use of the standard second-order representation of compact metric spaces. In the process of collecting evidence for the above slogan, we establish a number of equivalences involving Feferman’s projection principle and countable choice. We also study generalisations to fourth-order arithmetic and beyond with similar-but-stronger results.

According to the “miracle of aggregation” principle, in the absence of systematic biases, errors in individual judgments within a population should cancel each other out and lead to a correct decision at the aggregate level. This article explores potential individual- and group-level correlates of the accuracy of citizens’ electoral expectations and investigates how potential markers of political sophistication—namely, educational attainment and political interest—could be used to improve upon the raw aggregation of citizens’ forecasts using massive survey datasets collected during six Canadian national and provincial election campaigns between 2011 and 2022 (n = 279,003). We find that while educational attainment and interest increase the probability of a correct forecast at the individual level, delegating the forecasting task based on these variables does not necessarily lead to improvements in the accuracy of aggregate-level predictions. At the group level, we fail to uncover any evidence that sociological or informational diversity increases forecasting accuracy.

Critical approaches to research on war-affected societies emphasize the necessity for a more empirically grounded approach to the production of knowledge. Presently, research on war-affected societies is undergoing a shift toward localization with a call for more “voices” with local knowledge and expertise. This research is an attempt to analyze the challenges of reliable knowledge production in war-affected societies and their circulation in academia, the policy-making community, and feeding media discourse. The research focuses on the Russian war against Ukraine since 2014 as a prism through which to examine the main challenges for localized knowledge production. We consider several aspects of knowledge production including the problems and issues of framing and wording that define the character of the conflict, challenges of research design and data collection, researchers’ positioning dilemmas, participants’ responses, differences between policy and academic research, and the role of the media. The purpose of this study is to engage with and attempts to advance the literature on knowledge localization. We argue that a move toward the localization of fieldwork requires a more sensitive and transdisciplinary approach to knowledge production. Based on our own experience of fieldwork during wartime, we point out possible ethical and methodological challenges and offer workable responses to them.

Motion primitives play an important role in motion planning for autonomous vehicles, as they effectively address the sampling challenges inherent in nonholonomic motion planning. Employing motion primitives (MPs) is a widely accepted approach in nonholonomic motion planning based on sampling. This study specifically addresses the problem of learning from human-driving data to create human-like trajectories from predefined start-to-end states, which then serve as MP within the sampling-based nonholonomic motion planning framework. In this paper, we propose a deep learning-based method for generating MP that capture human-driving trajectory data features. By processing human-driving trajectory data, we create a Motion Primitive dataset that uniformly covers typical urban driving scenarios. Based on this dataset, a vehicle model long short-term memory neural network model is constructed to learn the features of the human-driving trajectory data. Finally, a framework for the generation of MP for practical applications is given based on this neural network. Our experiments, which focus on the dataset, the MMP generation network, and the generation process, demonstrate that our method significantly improves the training efficacy of the MP generation network. Additionally, the MP generated by our method exhibit higher accuracy compared to traditional methods.

Southwest China is a region that has been perhaps uniquely shaped over the longue durée by mutual appropriations of status, authority, land, material culture, genealogies, and cultural-historical identities. Drawing on both ethnographic fieldwork and the official and unofficial Chinese and Nuosu-Yi textual evidence, in this article I offer a new view of how, during the Ming and Qing dynasties, native officials were shaped by their efforts at appropriating elements of officialdom (responsibility towards the court) and nativeness (adherence to local customs). My historical textual-cum-anthropological analysis builds on C. Patterson Giersch’s notion of the “middle grounds” between the Chinese state and its borderland peoples to reveal “further ways” of uncovering the history of their history. I show that mutual appropriations of officialdom and nativeness have led to specific forms of acculturation that are neither linear nor irreversible. Cultural hybridizations underpin the current Yi core identity and culture in Liangshan today.

In this article I bring Henry James's novella The Turn of the Screw, Benjamin Britten and Myfanwy Piper's opera based on the novella, and elements of the 2011 Glyndebourne production of the opera into interaction with theories of the uncanny to wonder about the act of reading. This novella and opera thematize reading in connection with the uncanny and the ghostly, providing an opportunity to pursue what might be at stake and what might be possible when boundaries blur and meaning is put in motion. I begin to explore uncanny reading as a tool to unsettle binary logics and one-to-one mappings. I consider the uncanny as connective tissue between theoretical makings related to identity, relationships, and the potentialities of fiction. And I put these ideas into interactive practice as I self-consciously read this opera, to connect to and challenge normative and oppressive forces, impulses, and systems, including cultural scripts, social power structures, and ways of knowing and interacting.

Throughout all the domains of life, and even among the co-existing viruses, RNA molecules play key roles in regulating the rates, duration, and intensity of the expression of genetic information. RNA acts at many different levels in playing these roles. Trans-acting regulatory RNAs can modulate the lifetime and translational efficiency of transcripts with which they pair to achieve speedy and highly specific recognition using only a few components. Cis-acting recognition elements, covalent modifications, and changes to the termini of RNA molecules encode signals that impact transcript lifetime, translation efficiency, and other functional aspects. RNA can provide an allosteric function to signal state changes through the binding of small ligands or interactions with other macromolecules. In either cis or trans, RNA can act in conjunction with multi-enzyme assemblies that function in RNA turnover, processing and surveillance for faulty transcripts. These enzymatic machineries have likely evolved independently in diverse life forms but nonetheless share analogous functional roles, implicating the biological importance of cooperative assemblies to meet the exact demands of RNA metabolism. Underpinning all the RNA-mediated processes are two key aspects: specificity, which avoids misrecognition, and speedy action, which confers timely responses to signals. How these processes work and how aberrant RNA species are recognised and responded to by the degradative machines are intriguing puzzles. We review the biophysical basis for these processes. Kinetics of assembly and multivalency of interacting components provide windows of opportunity for recognition and action that are required for the key regulatory events. The thermodynamic irreversibility of RNA-mediated regulation is one emergent feature of biological systems that may help to account for the apparent specificity and optimal rates.

This study investigates the impact of historical and ideological continuities in Turkey’s migration policies on contemporary attitudes toward Syrian refugees. It examines how ethnic homogenization and discrimination, rooted in the foundation of the Turkish Republic, continue to shape public perceptions and policy frameworks. The research is based on qualitative methodologies, including 41 semi-structured in-depth interviews conducted between July and December 2021 with Syrian refugees and Turkish community members residing in Altındağ, Mamak, and Ümitköy districts of Ankara. Participants were purposively selected to provide diverse perspectives on social integration and identity formation. The findings reveal a shift from initial acceptance under religious solidarity to increasing exclusion, driven by nationalist rhetoric. Despite official claims of promoting multiculturalism, Turkish policies and societal attitudes often reinforce prejudices, fostering a socio-political environment where racial and ethnic biases persist.

The magnetostrictive response of a Terfenol-D pellet was measured via a laboratory-based X-ray diffractometer. X-ray diffraction patterns were collected from the pellet sample with and without the presence of an applied magnetic field (~30 mT) generated by placing a large magnet under the pellet. A standard reference material, Silicon 640c, was employed as an internal standard. Magnetostriction values of 323 and 227 ppm Δl/l were determined for the (104) and (110) indexed peaks, respectively, assuming a rhombohedral structure for Terfenol-D. A threshold noise level value of ~20 to 30 ppm Δl/l was suggested based on before/after measurements in the absence of the applied field. No clear evidence of domain wall rotation was detected via changes in relative intensities of diffraction peaks in the presence of the applied magnetic field.